diff --git a/.clang-format b/.clang-format
new file mode 100644
index 000000000..6dc87bc80
--- /dev/null
+++ b/.clang-format
@@ -0,0 +1,93 @@
+# clang-format configuration file
+#
+# For more information, see:
+#
+# Documentation/process/clang-format.rst
+# https://clang.llvm.org/docs/ClangFormat.html
+# https://clang.llvm.org/docs/ClangFormatStyleOptions.html
+#
+---
+AccessModifierOffset: -4
+AlignAfterOpenBracket: Align
+AlignConsecutiveAssignments: false
+AlignConsecutiveDeclarations: false
+AlignOperands: true
+AlignTrailingComments: false
+AllowAllParametersOfDeclarationOnNextLine: false
+AllowShortBlocksOnASingleLine: false
+AllowShortCaseLabelsOnASingleLine: false
+AllowShortFunctionsOnASingleLine: None
+AllowShortIfStatementsOnASingleLine: false
+AllowShortLoopsOnASingleLine: false
+AlwaysBreakAfterDefinitionReturnType: None
+AlwaysBreakAfterReturnType: None
+AlwaysBreakBeforeMultilineStrings: false
+AlwaysBreakTemplateDeclarations: false
+BinPackArguments: true
+BinPackParameters: true
+BraceWrapping:
+ AfterClass: false
+ AfterControlStatement: false
+ AfterEnum: false
+ AfterFunction: true
+ AfterNamespace: true
+ AfterObjCDeclaration: false
+ AfterStruct: false
+ AfterUnion: false
+ BeforeCatch: false
+ BeforeElse: false
+ IndentBraces: false
+BreakBeforeBinaryOperators: None
+BreakBeforeBraces: Custom
+BreakBeforeTernaryOperators: false
+BreakConstructorInitializersBeforeComma: false
+BreakAfterJavaFieldAnnotations: false
+BreakStringLiterals: false
+ColumnLimit: 80
+ConstructorInitializerAllOnOneLineOrOnePerLine: false
+ConstructorInitializerIndentWidth: 8
+ContinuationIndentWidth: 8
+Cpp11BracedListStyle: false
+DerivePointerAlignment: false
+DisableFormat: false
+ExperimentalAutoDetectBinPacking: false
+IncludeCategories:
+ - Regex: '.*'
+ Priority: 1
+IndentCaseLabels: false
+IndentWidth: 4
+IndentWrappedFunctionNames: false
+JavaScriptQuotes: Leave
+JavaScriptWrapImports: true
+KeepEmptyLinesAtTheStartOfBlocks: false
+MacroBlockBegin: ''
+MacroBlockEnd: ''
+MaxEmptyLinesToKeep: 1
+NamespaceIndentation: None
+ObjCBlockIndentWidth: 8
+ObjCSpaceAfterProperty: true
+ObjCSpaceBeforeProtocolList: true
+PenaltyBreakBeforeFirstCallParameter: 30
+PenaltyBreakComment: 10
+PenaltyBreakFirstLessLess: 0
+PenaltyBreakString: 10
+PenaltyExcessCharacter: 100
+PenaltyReturnTypeOnItsOwnLine: 60
+PointerAlignment: Right
+ReflowComments: false
+SortIncludes: false
+SpaceAfterCStyleCast: false
+SpaceAfterTemplateKeyword: true
+SpaceBeforeAssignmentOperators: true
+SpaceBeforeParens: ControlStatements
+SpaceInEmptyParentheses: false
+SpacesBeforeTrailingComments: 1
+SpacesInAngles: false
+SpacesInContainerLiterals: false
+SpacesInCStyleCastParentheses: false
+SpacesInParentheses: false
+SpacesInSquareBrackets: false
+Standard: Cpp03
+TabWidth: 4
+UseTab: Never
+...
diff --git a/.github/workflows/build-push-gh-packages.yml b/.github/workflows/build-push-gh-packages.yml
new file mode 100644
index 000000000..925685b2c
--- /dev/null
+++ b/.github/workflows/build-push-gh-packages.yml
@@ -0,0 +1,52 @@
+# This workflow uses actions that are not certified by GitHub.
+# They are provided by a third-party and are governed by
+# separate terms of service, privacy policy, and support
+# documentation.
+
+name: Build the SDK Docker container
+
+on:
+ push:
+ tags:
+ - 'v*'
+
+# Allow manually triggering of the workflow.
+ workflow_dispatch: {}
+
+env:
+ REGISTRY: ghcr.io
+ SDK_APP_BUILDER: xmos/sdk_app_builder
+
+jobs:
+ build-image:
+ name: Build Docker image for building and testing applications
+ runs-on: ubuntu-latest
+ permissions:
+ contents: read
+ packages: write
+
+ steps:
+ - name: Checkout repository
+ uses: actions/checkout@v2
+
+ - name: Login to the Container registry
+ uses: docker/login-action@v1
+ with:
+ registry: ${{ env.REGISTRY }}
+ username: ${{ github.actor }}
+ password: ${{ secrets.GITHUB_TOKEN }}
+
+ - name: Extract metadata (tags, labels) for Docker
+ id: meta
+ uses: docker/metadata-action@v3
+ with:
+ images: ${{ env.REGISTRY }}/${{ env.SDK_APP_BUILDER }}
+
+ - name: Build and push Docker image
+ uses: docker/build-push-action@v2
+ with:
+ context: '.'
+ file: 'tools/ci/Dockerfile.apps'
+ push: true
+ tags: ${{ steps.meta.outputs.tags }}
+ labels: ${{ steps.meta.outputs.labels }}
diff --git a/.github/workflows/ci_examples.yml b/.github/workflows/ci_examples.yml
new file mode 100644
index 000000000..8499c7281
--- /dev/null
+++ b/.github/workflows/ci_examples.yml
@@ -0,0 +1,155 @@
+# YAML schema for GitHub Actions:
+# https://help.github.com/en/actions/automating-your-workflow-with-github-actions/workflow-syntax-for-github-actions
+#
+# Helpful YAML parser to clarify YAML syntax:
+# https://yaml-online-parser.appspot.com/
+#
+# This workflow uses actions that are not certified by GitHub. They are provided by a third-party and are governed by
+# separate terms of service, privacy policy, and support documentation.
+#
+# This file contains the workflows that are run prior to merging a pull request.
+
+name: CI - Examples
+
+on:
+ push:
+ branches:
+ - 'main'
+ - 'develop'
+ pull_request:
+ branches:
+ - 'main'
+ - 'develop'
+
+ # Allow manually triggering of the workflow.
+ workflow_dispatch: {}
+
+env:
+ SDK_BUILDER_IMAGE: 'ghcr.io/xmos/sdk_app_builder:develop'
+
+jobs:
+ build_host_apps:
+ name: Build host applications
+ runs-on: ubuntu-latest
+ steps:
+ - name: Checkout
+ uses: actions/checkout@v2
+ with:
+ submodules: recursive
+
+ - name: Pull SDK builder
+ run: |
+ docker pull ${SDK_BUILDER_IMAGE}
+
+ - name: Build
+ run: |
+ docker run --rm -w /xcore_sdk -v ${{github.workspace}}:/xcore_sdk ${SDK_BUILDER_IMAGE} bash -l tools/ci/build_host_apps.sh
+
+ - name: Upload artifacts
+ uses: actions/upload-artifact@v3
+ with:
+ name: host_apps
+ path: ./dist_host
+
+ build_rtos_core_examples:
+ name: Build RTOS core examples
+ runs-on: ubuntu-latest
+ needs: build_host_apps
+ steps:
+ - name: Checkout
+ uses: actions/checkout@v2
+ with:
+ submodules: recursive
+
+ - name: Pull SDK builder
+ run: |
+ docker pull ${SDK_BUILDER_IMAGE}
+
+ - name: Download host build artifacts
+ uses: actions/download-artifact@v3
+ with:
+ name: host_apps
+ path: ./dist_host
+
+ - name: Build
+ run: |
+ docker run --rm -w /xcore_sdk -v ${{github.workspace}}:/xcore_sdk ${SDK_BUILDER_IMAGE} bash -l tools/ci/build_rtos_core_examples.sh
+
+ - name: Upload artifacts
+ uses: actions/upload-artifact@v3
+ with:
+ name: freertos_core_examples
+ path: |
+ ./dist/*.xe
+ ./dist/*.fs
+ ./dist/*.swmem
+
+ build_rtos_aiot_examples:
+ name: Build RTOS AIoT examples
+ runs-on: ubuntu-latest
+ needs: build_host_apps
+ steps:
+ - name: Checkout
+ uses: actions/checkout@v2
+ with:
+ submodules: recursive
+
+ - name: Install Python
+ uses: actions/setup-python@v2
+ with:
+ python-version: '3.8'
+
+ - name: Install Python requirements
+ run: |
+ python -m pip install --upgrade pip
+ pip install -r tools/install/requirements.txt
+
+ - name: Make input data for examples
+ run: |
+ cd ./examples/freertos/cifar10/filesystem_support/test_inputs && python make_test_tensors.py
+
+ - name: Pull SDK builder
+ run: |
+ docker pull ${SDK_BUILDER_IMAGE}
+
+ - name: Download host build artifacts
+ uses: actions/download-artifact@v3
+ with:
+ name: host_apps
+ path: ./dist_host
+
+ - name: Build
+ run: |
+ docker run --rm -w /xcore_sdk -v ${{github.workspace}}:/xcore_sdk ${SDK_BUILDER_IMAGE} bash -l tools/ci/build_rtos_aiot_examples.sh
+
+ - name: Upload artifacts
+ uses: actions/upload-artifact@v3
+ with:
+ name: freertos_aiot_examples
+ path: |
+ ./dist/*.xe
+ ./dist/*.fs
+ ./dist/*.swmem
+
+ build_metal_examples:
+ name: Build bare-metal examples
+ runs-on: ubuntu-latest
+ steps:
+ - name: Checkout
+ uses: actions/checkout@v2
+ with:
+ submodules: recursive
+
+ - name: Pull SDK builder
+ run: |
+ docker pull ${SDK_BUILDER_IMAGE}
+
+ - name: Build
+ run: |
+ docker run --rm -w /xcore_sdk -v ${{github.workspace}}:/xcore_sdk ${SDK_BUILDER_IMAGE} bash -l tools/ci/build_metal_examples.sh
+
+ - name: Upload artifacts
+ uses: actions/upload-artifact@v3
+ with:
+ name: bare-metal_examples
+ path: ./dist/*.xe
\ No newline at end of file
diff --git a/.github/workflows/ci_tests.yml b/.github/workflows/ci_tests.yml
new file mode 100644
index 000000000..1ad5c389f
--- /dev/null
+++ b/.github/workflows/ci_tests.yml
@@ -0,0 +1,103 @@
+# YAML schema for GitHub Actions:
+# https://help.github.com/en/actions/automating-your-workflow-with-github-actions/workflow-syntax-for-github-actions
+#
+# Helpful YAML parser to clarify YAML syntax:
+# https://yaml-online-parser.appspot.com/
+#
+# This workflow uses actions that are not certified by GitHub. They are provided by a third-party and are governed by
+# separate terms of service, privacy policy, and support documentation.
+#
+# This file contains the workflows that are run prior to merging a pull request.
+
+name: CI - Tests
+
+on:
+ push:
+ branches:
+ - 'develop'
+ pull_request:
+ branches:
+ - 'develop'
+
+ # Allow manually triggering of the workflow.
+ workflow_dispatch: {}
+
+env:
+ SDK_BUILDER_IMAGE: 'ghcr.io/xmos/sdk_app_builder:develop'
+
+jobs:
+ changes:
+ runs-on: ubuntu-latest
+ name: Change detection
+ # Set job outputs to values from filter step
+ outputs:
+ tusb_demos: ${{ steps.filter.outputs.tusb_demos }}
+ rtos_tests: ${{ steps.filter.outputs.rtos_tests }}
+ steps:
+ - name: Checkout SDK
+ uses: actions/checkout@v2
+ with:
+ submodules: recursive
+ - name: Paths filter
+ uses: dorny/paths-filter@v2
+ id: filter
+ with:
+ filters: |
+ tusb_demos:
+ - 'modules/io/modules/xud/**'
+ - 'modules/rtos/modules/sw_services/usb/**'
+ - 'modules/rtos/modules/drivers/usb/**'
+ rtos_tests:
+ - 'modules/core/**'
+ - 'modules/io/**'
+ - 'modules/rtos/**'
+
+ build_rtos_tusb_demos:
+ needs: changes
+ name: Build RTOS TinyUSB demos
+ if: ${{ needs.changes.outputs.tusb_demos == 'true' }}
+ runs-on: ubuntu-latest
+ steps:
+ - name: Checkout
+ uses: actions/checkout@v2
+ with:
+ submodules: recursive
+
+ - name: Pull SDK builder
+ run: |
+ docker pull ${SDK_BUILDER_IMAGE}
+
+ - name: Build
+ run: |
+ docker run --rm -w /xcore_sdk -v ${{github.workspace}}:/xcore_sdk ${SDK_BUILDER_IMAGE} bash -l tools/ci/build_rtos_usb_examples.sh
+
+ # - name: Upload artifacts
+ # uses: actions/upload-artifact@v3
+ # with:
+ # name: freertos_usb_demos
+ # path: ./dist/*.xe
+
+ build_rtos_tests:
+ needs: changes
+ name: Build RTOS tests
+ if: ${{ needs.changes.outputs.rtos_tests == 'true' }}
+ runs-on: ubuntu-latest
+ steps:
+ - name: Checkout
+ uses: actions/checkout@v2
+ with:
+ submodules: recursive
+
+ - name: Pull SDK builder
+ run: |
+ docker pull ${SDK_BUILDER_IMAGE}
+
+ - name: Build
+ run: |
+ docker run --rm -w /xcore_sdk -v ${{github.workspace}}:/xcore_sdk ${SDK_BUILDER_IMAGE} bash -l tools/ci/build_rtos_tests.sh all
+
+ # - name: Upload artifacts
+ # uses: actions/upload-artifact@v3
+ # with:
+ # name: rtos_tests
+ # path: ./dist/*.xe
diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml
new file mode 100644
index 000000000..24782419d
--- /dev/null
+++ b/.github/workflows/docs.yml
@@ -0,0 +1,50 @@
+# YAML schema for GitHub Actions:
+# https://help.github.com/en/actions/automating-your-workflow-with-github-actions/workflow-syntax-for-github-actions
+#
+# Helpful YAML parser to clarify YAML syntax:
+# https://yaml-online-parser.appspot.com/
+#
+# This workflow uses actions that are not certified by GitHub. They are provided by a third-party and are governed by
+# separate terms of service, privacy policy, and support documentation.
+#
+# This file contains the workflows that are run prior to merging a pull request.
+
+name: Docs
+
+on:
+ push:
+ branches:
+ - 'main'
+ - 'releases/**'
+ - 'develop'
+
+ # Allow manually triggering of the workflow.
+ workflow_dispatch: {}
+
+env:
+ DOC_BUILDER_IMAGE: 'ghcr.io/xmos/doc_builder:main'
+
+jobs:
+ build_documentation:
+ name: Build and package documentation
+ runs-on: ubuntu-latest
+ steps:
+ - name: Checkout SDK
+ uses: actions/checkout@v2
+ with:
+ submodules: recursive
+
+ - name: Pull documentation builder docker image
+ run: |
+ docker pull ${DOC_BUILDER_IMAGE}
+
+ - name: Build documentation
+ run: |
+ docker run --rm -t -u "$(id -u):$(id -g)" -v ${{ github.workspace }}:/build -e REPO:/build -e EXCLUDE_PATTERNS=/build/doc/exclude_patterns.inc -e DOXYGEN_INCLUDE=/build/doc/Doxyfile.inc -e DOXYGEN_INPUT=ignore ${DOC_BUILDER_IMAGE}
+
+ - name: Save documentation artifacts
+ uses: actions/upload-artifact@v3
+ with:
+ name: xcore_sdk_docs
+ path: doc/_build
+ if-no-files-found: error # 'warn' or 'ignore' are also available, defaults to `warn`
diff --git a/.github/workflows/python.yml b/.github/workflows/python.yml
new file mode 100644
index 000000000..5d9e132ef
--- /dev/null
+++ b/.github/workflows/python.yml
@@ -0,0 +1,73 @@
+# YAML schema for GitHub Actions:
+# https://help.github.com/en/actions/automating-your-workflow-with-github-actions/workflow-syntax-for-github-actions
+#
+# Helpful YAML parser to clarify YAML syntax:
+# https://yaml-online-parser.appspot.com/
+#
+# This workflow uses actions that are not certified by GitHub. They are provided by a third-party and are governed by
+# separate terms of service, privacy policy, and support documentation.
+#
+# This file contains the workflows that are run prior to merging a pull request.
+# This workflow will be triggered when a PR modifies some python relevant files
+
+name: Python
+
+on:
+ push:
+ branches:
+ - 'main'
+ - 'develop'
+
+ pull_request:
+ branches:
+ - 'main'
+ - 'develop'
+
+ # Allow manually triggering of the workflow.
+ workflow_dispatch: {}
+
+jobs:
+ changes:
+ runs-on: ubuntu-latest
+ name: Change detection
+ # Set job outputs to values from filter step
+ outputs:
+ python_install: ${{ steps.filter.outputs.python_install }}
+ steps:
+ - name: Checkout SDK
+ uses: actions/checkout@v2
+ with:
+ submodules: recursive
+ - name: Paths filter
+ uses: dorny/paths-filter@v2
+ id: filter
+ with:
+ filters: |
+ python_install:
+ - 'tools/install/requirements.txt'
+ - '**.py'
+
+ python_install:
+ runs-on: ubuntu-latest
+ needs: changes
+ name: Install & verify Python packages
+ if: ${{ needs.changes.outputs.python_install == 'true' }}
+ steps:
+ - name: Checkout SDK
+ uses: actions/checkout@v2
+ with:
+ submodules: recursive
+
+ - name: Install Python
+ uses: actions/setup-python@v2
+ with:
+ python-version: '3.8'
+
+ - name: Install packages
+ run: |
+ python -m pip install --upgrade pip
+ pip install -r tools/install/requirements.txt
+
+ - name: Verify install
+ run: |
+ python test/verify_python_install.py
diff --git a/.gitignore b/.gitignore
index 94bd4a97b..a14787a3e 100644
--- a/.gitignore
+++ b/.gitignore
@@ -7,7 +7,6 @@
**/*.egg-info/*
**/*.eggs/*
**/.ipynb_checkpoints/*
-*sdk_venv/*
# Build & debug cruft
**/.build*/*
@@ -24,27 +23,49 @@
*.xmt
**/_build/
**/build_*/
+!doc/tutorials/build_system/
**/run_*.log
-**/doxygen/*
+**/_doxygen/*
+**/_templates/*
**/pdf/*
**/html/*
**/.settings/*
.metadata
**/test_results.csv
+**/test_results.xml
**/.venv/**
.metadata
+*.gtkw
+*.swmem
+*.bin
+*.fs
# Test cruft
**/.pytest_cache/*
**/*_junit.xml
+**/testing/*
# waf build cruft
.lock-waf_*
.waf-*/
build/
+# filesystem cruft
+**/fat.fs
+**/flash_bin_node0
+**/fw-*
+**/spanning-xn-*
+**/target-xn-*
+
+# wifi cruft
+**/networks.dat
+
# systemview debug cruft
*.SVDAT
# macOS cruft
-.DS_Store
\ No newline at end of file
+.DS_Store
+
+# ai_tools
+tools/ai/ai_tools
+*xcore_sdk_venv/*
diff --git a/.gitmodules b/.gitmodules
index 9ee1fdd0d..de37256b2 100644
--- a/.gitmodules
+++ b/.gitmodules
@@ -1,86 +1,18 @@
-[submodule "lib_dsp"]
- path = modules/lib_dsp
- url = git@github.com:xmos/lib_dsp.git
-[submodule "lib_xs3_math"]
- path = modules/lib_xs3_math
- url = git@github.com:xmos/lib_xs3_math.git
- shallow = true
-[submodule "lib_otpinfo"]
- path = modules/lib_otpinfo
- url = git@github.com:xmos/lib_otpinfo.git
-[submodule "lib_random"]
- path = modules/lib_random
- url = git@github.com:xmos/lib_random.git
-[submodule "mbedtls"]
- path = modules/rtos/sw_services/tls_support/thirdparty/mbedtls
- url = git@github.com:ARMmbed/mbedtls.git
- shallow = true
-[submodule "paho.mqtt.embedded-c"]
- path = modules/rtos/sw_services/mqtt/thirdparty/paho.mqtt.embedded-c
- url = git@github.com:eclipse/paho.mqtt.embedded-c.git
- shallow = true
-[submodule "http-parser"]
- path = modules/rtos/sw_services/http/thirdparty/http-parser
- url = git@github.com:nodejs/http-parser.git
- shallow = true
-[submodule "jsmn"]
- path = modules/rtos/sw_services/json/thirdparty/jsmn
- url = git@github.com:zserge/jsmn.git
- shallow = true
-[submodule "ai_tools"]
- path = tools/ai_tools
- url = git@github.com:xmos/ai_tools.git
- shallow = true
-[submodule "lib_i2c"]
- path = modules/hil/lib_i2c
- url = git@github.com:xmos/lib_i2c.git
-[submodule "lib_i2s"]
- path = modules/hil/lib_i2s
- url = git@github.com:xmos/lib_i2s.git
-[submodule "lib_mic_array"]
- path = modules/hil/lib_mic_array
- url = git@github.com:xmos/lib_mic_array.git
-[submodule "lib_spi"]
- path = modules/hil/lib_spi
- url = git@github.com:xmos/lib_spi.git
-[submodule "wfx-fullMAC-driver"]
- path = modules/rtos/drivers/wifi/sl_wf200/thirdparty/wfx-fullMAC-driver
- url = git@github.com:SiliconLabs/wfx-fullMAC-driver.git
-[submodule "FreeRTOS-SMP-Kernel"]
- path = modules/rtos/FreeRTOS/FreeRTOS-SMP-Kernel
- url = git@github.com:xmos/FreeRTOS-Kernel.git
- branch = feature/xcore-smp
-[submodule "FreeRTOS-Kernel"]
- path = modules/rtos/FreeRTOS/FreeRTOS-Kernel
- url = git@github.com:xmos/FreeRTOS-Kernel.git
- branch = feature/xcore
-[submodule "FreeRTOS-Plus-TCP"]
- path = modules/rtos/FreeRTOS/FreeRTOS-Plus-TCP
- url = git@github.com:xmos/FreeRTOS-Plus-TCP.git
- branch = main
-[submodule "wfx-firmware"]
- path = modules/rtos/drivers/wifi/sl_wf200/thirdparty/wfx-firmware
- url = git@github.com:SiliconLabs/wfx-firmware.git
-[submodule "tinyusb"]
- path = modules/rtos/sw_services/usb/thirdparty/tinyusb
- url = git@github.com:hathach/tinyusb.git
- shallow = true
- fetchRecurseSubmodules = false
-[submodule "modules/legacy_compat/lib_mic_array"]
- path = modules/legacy_compat/lib_mic_array
- url = git@github.com:xmos/lib_mic_array.git
-[submodule "modules/aif/lib_nn"]
- path = modules/aif/lib_nn
- url = git@github.com:xmos/lib_nn.git
-[submodule "modules/aif/flatbuffers"]
- path = modules/aif/flatbuffers
- url = git@github.com:google/flatbuffers.git
-[submodule "modules/aif/gemmlowp"]
- path = modules/aif/gemmlowp
- url = git@github.com:google/gemmlowp.git
-[submodule "modules/aif/ruy"]
- path = modules/aif/ruy
- url = git@github.com:google/ruy.git
-[submodule "modules/aif/tensorflow"]
- path = modules/aif/tensorflow
- url = git@github.com:xmos/tensorflow.git
+[submodule "lib_src"]
+ path = modules/sample_rate_conversion/lib_src
+ url = git@github.com:xmos/lib_src.git
+[submodule "xmos_cmake_toolchain"]
+ path = xmos_cmake_toolchain
+ url = git@github.com:xmos/xmos_cmake_toolchain.git
+[submodule "avona"]
+ path = modules/avona
+ url = git@github.com:xmos/sw_avona.git
+[submodule "frameworks/core"]
+ path = modules/core
+ url = git@github.com:xmos/fwk_core.git
+[submodule "frameworks/io"]
+ path = modules/io
+ url = git@github.com:xmos/fwk_io.git
+[submodule "frameworks/rtos"]
+ path = modules/rtos
+ url = git@github.com:xmos/fwk_rtos.git
diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index 87c5acda3..801a9d18a 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -1,15 +1,28 @@
-AIoT SDK change log
-===================
+XCore SDK change log
+====================
In progress
-----------
+
+
+0.10.0
+------
+
+Many enhancements and changes from the prior release. The list below summarizes many of the changes:
+
+ * Addition of UART library and RTOS driver
+ * Addition of clock control library and RTOS driver
+ * Addition of L2 cache library and RTOS driver
+ * Redesign of mic array library to leverage VPU
+ * Removal of the cifar10, hello_world, hotdog_not_hotdog and microspeech bare-metal example applications
+ * Addition of explorer_board bare-metal example application
+ * Removal of the person_detection FreeRTOS example application
+ * iot_aws FreeRTOS example application redesigned and renamed
+ * Addition of device_control, getting_started, ls_cache and dispatcher FreeRTOS example applicatiosn
* Added USB support for FreeRTOS applications
- * Implemented optimized ADD TensorFlow Lite Micro operator
- * Added model runner project generation command-line utility
- * Added hotdog_not_hotdog bare-metal example application
* Simplified SDK installation steps
- * Example applications that utilize ``xscope`` for input now support common image formats
+ * Redesign of CMake build system
* Documentation updates
0.9.4
diff --git a/CMakeLists.txt b/CMakeLists.txt
new file mode 100644
index 000000000..926d94574
--- /dev/null
+++ b/CMakeLists.txt
@@ -0,0 +1,33 @@
+cmake_minimum_required(VERSION 3.21)
+
+## Disable in-source build.
+if("${CMAKE_SOURCE_DIR}" STREQUAL "${CMAKE_BINARY_DIR}")
+ message(FATAL_ERROR "In-source build is not allowed! Please specify a build folder.\n\tex:cmake -B build")
+endif()
+
+## Project declaration
+project(xcore_sdk)
+
+## Enable languages for project
+enable_language(CXX C ASM)
+
+## Project options
+option(XCORE_SDK_TESTS "Enable xcore_sdk tests" OFF)
+
+## Import some helpful macros
+include(modules/rtos/tools/cmake_utils/xmos_macros.cmake)
+
+## Setup a framework root path
+set(XCORE_SDK_ROOT ${PROJECT_SOURCE_DIR} CACHE STRING "Root folder of xcore_sdk in this cmake project tree")
+
+## Add library subdirectories
+add_subdirectory(modules)
+
+## Add top level project targets
+if(PROJECT_IS_TOP_LEVEL)
+ include(examples/examples.cmake)
+endif()
+
+if(XCORE_SDK_TESTS)
+ include(test/tests.cmake)
+endif()
diff --git a/CODEOWNERS b/CODEOWNERS
new file mode 100644
index 000000000..efab4ba05
--- /dev/null
+++ b/CODEOWNERS
@@ -0,0 +1,3 @@
+#* @@keithm-xmos @mbruno-xmos @xmos-jmccarthy
+
+/.github/ @keithm-xmos
\ No newline at end of file
diff --git a/CONTRIBUTING.rst b/CONTRIBUTING.rst
deleted file mode 100644
index 0e6d3d009..000000000
--- a/CONTRIBUTING.rst
+++ /dev/null
@@ -1,98 +0,0 @@
-############
-Contributing
-############
-
-*************************************
-Contribution Guidelines and Standards
-*************************************
-
-Before sending your pull request, make sure your changes are consistent with these guidelines and are consistent with the coding style used in this xcore_sdk repository.
-
-**************************************************
-General Guidelines and Philosophy For Contribution
-**************************************************
-
-* Include unit tests when you contribute new features, as they help to a) prove that your code works correctly, and b) guard against future breaking changes to lower the maintenance cost.
-* Bug fixes also generally require unit tests, because the presence of bugs usually indicates insufficient test coverage.
-* Keep API compatibility in mind when you change code.
-
-*******************
-Python coding style
-*******************
-
-All python code should be `blackened `__ is used for formatting code. In most circumstances, the default settings are safe to use. However, you will need to configure so includes are not sorting.
-
-*******************************
-Development Virtual Environment
-*******************************
-
-It is recommended that you install the virtual environment in the repo's directory:
-
-.. code-block:: console
-
- conda env create -p ./xcore_sdk_venv -f environment.yml
-
-Activate the environment by specifying the path:
-
-.. code-block:: console
-
- conda activate xcore_sdk_venv/
-
-To remove the environment, deactivate and run:
-
-.. code-block:: console
-
- conda remove -p xcore_sdk_venv/ --all
-
-*****************
-Building Examples
-*****************
-
-To build the examples, the `XMOS_AIOT_SDK_PATH` environment variable must be set.
-
-.. code-block:: console
-
- $ export XMOS_AIOT_SDK_PATH#/xcore_sdk
-
-You can also add this export command to your `.profile` or `.bash_profile` script. This way the environment variable will be set in a new terminal window.
-
-A script is provided to build all the example applications. Run this script with:
-
-.. code-block:: console
-
- $ bash test/build_examples.sh
-
-*************
-Running Tests
-*************
-
-A script is provided to run all the tests on a connected xcore.ai device. Run this script with:
-
-.. code-block:: console
-
- $ bash test/run_tests.sh
-
-****************
-Development Tips
-****************
-
-At times submodule repositories will need to be updated. To update all submodules, run the following command
-
-.. code-block:: console
-
- $ git submodule update --init --recursive
-
-Due to some large submodules, cloning the repository can take a few minutes. The following command will only close a history depth of 1 and is considerably faster.
-
-.. code-block:: console
-
- $ git clone --recurse-submodules --depth 1 --shallow-submodules https://github.com/xmos/xcore_sdk.git
diff --git a/Dockerfile b/Dockerfile
deleted file mode 100644
index 8a8db9a9c..000000000
--- a/Dockerfile
+++ /dev/null
@@ -1,33 +0,0 @@
-FROM continuumio/miniconda3:4.8.2
-
-# This Dockerfile is for use by the XMOS CI system
-# It provides a minimal environment needed to execute the Jenkinsfile
-# Most of the dependecies here are handled conda so we only include:
-# - conda setup
-# - xmos tools setup
-
-# fix conda perms
-RUN chmod -R 777 /opt/conda \
- && mkdir -p /.conda \
- && chmod -R 777 /.conda
-
-# install tools lib dependencies
-RUN apt-get update && apt-get install -y \
- libncurses5 libncurses5-dev \
- tcl environment-modules \
- && apt-get clean autoclean
-# install get_tools.py script
-# requires connection to XMOS network at build and run time
-# if not possible, find another way to install the tools
-RUN mkdir -m 777 /XMOS && cd /XMOS \
- && wget -q https://github0.xmos.com/raw/xmos-int/get_tools/master/get_tools.py \
- && chmod a+x get_tools.py \
- && echo "export PATH=$PATH:/XMOS" \
- >> /etc/profile.d/xmos_tools.sh \
- && chmod a+x /etc/profile.d/xmos_tools.sh
-
-# install compiler
-RUN apt-get install -y build-essential
-
-# set login shell
-SHELL ["/bin/bash", "-l", "-c"]
diff --git a/Jenkinsfile b/Jenkinsfile
index ab51bc00b..d9e7a07b1 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -1,94 +1,158 @@
-@Library('xmos_jenkins_shared_library@v0.14.2') _
+@Library('xmos_jenkins_shared_library@v0.18.0') _
+
+def withXTAG(String target, Closure body) {
+ // Acquire an xtag adapter-id by target name
+ def adapterID = sh (script: "xtagctl acquire ${target}", returnStdout: true).trim()
+ // Run the closure
+ body(adapterID)
+ // Release the xtag by adapter-id
+ sh ("xtagctl release ${adapterID}")
+}
+
+
+// Wait here until specified artifacts appear
+def artifactUrls = getGithubArtifactUrls([
+ "bare-metal_examples",
+ "freertos_core_examples",
+ "freertos_aiot_examples"
+ // "host_apps",
+ // "rtos_tests"
+])
+
getApproval()
+
pipeline {
agent {
- dockerfile {
- args ""
- }
+ label 'sdk'
}
- parameters { // Available to modify on the job page within Jenkins if starting a build
- string( // use to try different tools versions
+ options {
+ disableConcurrentBuilds()
+ skipDefaultCheckout()
+ timestamps()
+ // on develop discard builds after a certain number else keep forever
+ buildDiscarder(logRotator(
+ numToKeepStr: env.BRANCH_NAME ==~ /develop/ ? '25' : '',
+ artifactNumToKeepStr: env.BRANCH_NAME ==~ /develop/ ? '25' : ''
+ ))
+ }
+ parameters {
+ string(
name: 'TOOLS_VERSION',
- defaultValue: '15.0.6',
- description: 'The tools version to build with (check /projects/tools/ReleasesTools/)'
- )
- booleanParam( // use to check results of rolling all conda deps forward
- name: 'UPDATE_ALL',
- defaultValue: false,
- description: 'Update all conda packages before building'
+ defaultValue: '15.1.4',
+ description: 'The XTC tools version'
)
- }
- options { // plenty of things could go here
- //buildDiscarder(logRotator(numToKeepStr: '10'))
- timestamps()
- }
+ }
environment {
- XMOS_AIOT_SDK_PATH = "${env.WORKSPACE}"
- }
+ PYTHON_VERSION = "3.8.11"
+ VENV_DIRNAME = ".venv"
+ DOWNLOAD_DIRNAME = "build"
+ SDK_TEST_RIG_TARGET = "xcore_sdk_test_rig"
+ }
stages {
- stage("Setup") {
- // Clone and install build dependencies
+ stage('Checkout') {
steps {
- // clean auto default checkout
- sh "rm -rf *"
- // clone
- checkout([
- $class: 'GitSCM',
- branches: scm.branches,
- doGenerateSubmoduleConfigurations: false,
- extensions: [[$class: 'SubmoduleOption',
- threads: 8,
- timeout: 20,
- shallow: false,
- parentCredentials: true,
- recursiveSubmodules: true],
- [$class: 'CleanCheckout']],
- userRemoteConfigs: [[credentialsId: 'xmos-bot',
- url: 'git@github.com:xmos/aiot_sdk']]
- ])
- // create venv
- sh "conda env create -q -p sdk_venv -f environment.yml"
- // Install xmos tools version
- sh "/XMOS/get_tools.py " + params.TOOLS_VERSION
+ checkout scm
+ sh "git clone git@github.com:xmos/xcore_sdk.git"
}
- }
- stage("Update environment") {
- // Roll all conda packages forward beyond their pinned versions
- when { expression { return params.UPDATE_ALL } }
+ }
+ stage('Download artifacts') {
steps {
- sh "conda update --all -y -q -p sdk_venv"
+ dir("$DOWNLOAD_DIRNAME") {
+ downloadExtractZips(artifactUrls)
+ // List extracted files for log
+ sh "ls -la"
+ }
}
}
- stage("Build examples") {
+ stage('Create virtual environment') {
steps {
- sh """. /XMOS/tools/${params.TOOLS_VERSION}/XMOS/XTC/${params.TOOLS_VERSION}/SetEnv &&
- . activate ./sdk_venv && bash test/build_examples.sh"""
+ // Create venv
+ sh "pyenv install -s $PYTHON_VERSION"
+ sh "~/.pyenv/versions/$PYTHON_VERSION/bin/python -m venv $VENV_DIRNAME"
+ // Install dependencies
+ withVenv() {
+ // NOTE: only one dependency so not using a requirements.txt file here yet
+ sh "pip install git+https://github0.xmos.com/xmos-int/xtagctl.git"
+ }
}
}
- stage("Install") {
+ stage('Cleanup xtagctl') {
steps {
- sh """. activate ./sdk_venv && bash install.sh"""
+ // Cleanup any xtagctl cruft from previous failed runs
+ withTools(params.TOOLS_VERSION) {
+ withVenv {
+ sh "xtagctl reset_all $SDK_TEST_RIG_TARGET"
+ }
+ }
+ sh "rm -f ~/.xtag/status.lock ~/.xtag/acquired"
}
}
- stage("Test") {
+ stage('Run FreeRTOS examples') {
steps {
- // run unit tests
- sh """. activate ./sdk_venv && cd test && pytest -v --junitxml tests_junit.xml"""
- // run notebook tests
- sh """. activate ./sdk_venv && cd test && bash test_notebooks.sh"""
- // Any call to pytest can be given the "--junitxml SOMETHING_junit.xml" option
- // This step collects these files for display in Jenkins UI
- junit "**/*_junit.xml"
+ withTools(params.TOOLS_VERSION) {
+ withVenv {
+ script {
+ if (fileExists("$DOWNLOAD_DIRNAME/example_freertos_getting_started.xe")) {
+ withXTAG("$SDK_TEST_RIG_TARGET") { adapterID ->
+ sh "test/examples/run_freertos_getting_started_tests.sh $adapterID"
+ }
+ } else {
+ echo 'SKIPPED: example_freertos_getting_started'
+ }
+ }
+ script {
+ if (fileExists("$DOWNLOAD_DIRNAME/example_freertos_explorer_board.xe")) {
+ withXTAG("$SDK_TEST_RIG_TARGET") { adapterID ->
+ sh "test/examples/run_freertos_explorer_board_tests.sh $adapterID"
+ }
+ } else {
+ echo 'SKIPPED: example_freertos_explorer_board'
+ }
+ }
+ script {
+ if (fileExists("$DOWNLOAD_DIRNAME/example_freertos_cifar10.xe")) {
+ withXTAG("$SDK_TEST_RIG_TARGET") { adapterID ->
+ sh "test/examples/run_freertos_cifar10_tests.sh $adapterID"
+ }
+ } else {
+ echo 'SKIPPED: example_freertos_cifar10'
+ }
+ }
+ script {
+ if (fileExists("$DOWNLOAD_DIRNAME/example_freertos_dispatcher.xe")) {
+ withXTAG("$SDK_TEST_RIG_TARGET") { adapterID ->
+ sh "test/examples/run_freertos_dispatcher_tests.sh $adapterID"
+ }
+ } else {
+ echo 'SKIPPED: example_freertos_dispatcher'
+ }
+ }
+ script {
+ if (fileExists("$DOWNLOAD_DIRNAME/example_freertos_l2_cache.xe")) {
+ withXTAG("$SDK_TEST_RIG_TARGET") { adapterID ->
+ sh "test/examples/run_freertos_l2_cache_tests.sh $adapterID"
+ }
+ } else {
+ echo 'SKIPPED: example_freertos_l2_cache'
+ }
+ }
+ }
+ }
}
}
- stage("Build documentation") {
+ stage('Run bare-metal examples') {
steps {
- dir('documents') {
- sh '. activate ../sdk_venv && make clean linkcheck html SPHINXOPTS="-W --keep-going"'
- dir('_build') {
- archiveArtifacts artifacts: 'html/**/*', fingerprint: false
- sh 'tar -czf docs_sdk.tgz html'
- archiveArtifacts artifacts: 'docs_sdk.tgz', fingerprint: true
+ withTools(params.TOOLS_VERSION) {
+ withVenv {
+ script {
+ if (fileExists("$DOWNLOAD_DIRNAME/example_bare_metal_vww_test.xe")) {
+ withXTAG("$SDK_TEST_RIG_TARGET") { adapterID ->
+ sh "test/examples/run_bare_metal_vww_tests.sh $adapterID"
+ }
+ } else {
+ echo 'SKIPPED: example_bare_metal_vww'
+ }
+ }
}
}
}
diff --git a/README.md b/README.md
new file mode 100644
index 000000000..8a67c3ba5
--- /dev/null
+++ b/README.md
@@ -0,0 +1,58 @@
+# XCore SDK Repository
+
+[](https://github.com/xmos/xcore_sdk/releases/latest)
+[](https://github.com/xmos/xcore_sdk/issues)
+[](https://github.com/xmos/xcore_sdk/graphs/contributors)
+[](https://github.com/xmos/xcore_sdk/pulls)
+
+The XCore SDK is a collection of C/C++ software libraries designed to simplify and accelerate application development on XCore processors. It is composed of the following components:
+
+- Peripheral IO libraries including; UART, I2C, I2S, SPI, QSPI, PDM microphones, and USB. These libraries support bare-metal and RTOS application development.
+- Libraries core to DSP and AI applications, including; vectorized math, DSP, and neural network inferencing. These libraries support bare-metal and RTOS application development.
+- Voice processing libraries including; adaptive echo cancellation, adaptive gain control, noise suppression, interference cancellation (IC), and voice activity detection. These libraries support bare-metal and RTOS application development.
+- Libraries that enable [multi-core FreeRTOS development](https://www.freertos.org/symmetric-multiprocessing-introduction.html) on XCore including a wide array of RTOS drivers and middleware.
+- Code Examples - Examples showing a variety of XCore features based on bare-metal and FreeRTOS programming.
+
+The SDK is designed to be used in conjunction with the xcore.ai Explorer board evaluation kit. The example applications compile targeting this board. Further information about the Explorer board and xcore.ai devices is available to on [www.xmos.ai](https://www.xmos.ai/).
+
+## Build Status
+
+Build Type | Status |
+----------- | --------------|
+CI (Linux) |  |
+CI (Linux) |  |
+Docs |  |
+
+## Cloning
+
+Some dependent components are included as git submodules. These can be obtained by cloning this repository with the following command:
+
+ git clone --recurse-submodules https://github.com/xmos/xcore_sdk.git
+
+## Development Tools
+
+Download and install the XCore [XTC Tools](https://www.xmos.ai/software-tools/) version 15.1.0 or newer. If you already have the XTC Toolchain installed, you can check the version with the following command:
+
+ xcc --version
+
+## Documentation
+
+See the [official documentation](https://www.xmos.ai/xcore-sdk/) for more information including:
+
+- Instructions for installing
+- Getting started guides
+- Programming tutorials
+- API references
+
+## Getting Help
+
+A [Github issue](https://github.com/xmos/xcore_sdk/issues/new/choose) should be the primary method of getting in touch with the XMOS SDK development team.
+
+## License
+
+This Software is subject to the terms of the [XMOS Public Licence: Version 1](https://github.com/xmos/xcore_sdk/blob/develop/LICENSE.rst). Copyrights and licenses for third party components can be found in [Copyrights and Licenses](https://github.com/xmos/xcore_sdk/blob/develop/doc/copyright.rst).
+
+## Contribution
+
+Contributions are greatly welcomed! For guidelines of contribution please check the [Contributing Guide](https://github.com/xmos/xcore_sdk/blob/develop/doc/contributing.rst).
+
diff --git a/README.rst b/README.rst
deleted file mode 100644
index 31b2a3312..000000000
--- a/README.rst
+++ /dev/null
@@ -1,39 +0,0 @@
-AIoT SDK Repository
-===================
-
-Summary
--------
-
-The XMOS AIoT SDK and is intended to enable basic evaluation of xcore.ai functionality and perfomance. It comprises the following components:
-
-- AIoT Tools - Scripts, tools and libraries to convert TensorFlowLite for Microcontroller models to a format targetting accelerated operations.
-- FreeRTOS - Libraries to support FreeRTOS operation.
-- Examples - Examples showing a variety of operations based on bare-metal and FreeRTOS operation.
-- Documentation - Getting started guides and example build and execution instructions.
-
-The AIoT SDK is designed to be used in conjunction with the xcore-ai Explorer board. The example
-applications compile targeting this board. Further information about the Explorer board, and the xcore.ai
-device are available to authorised parties on `www.xmos.ai `_ for instructions on installing and using the AI Toolchain Extensions.
-
-Contributing
-------------
-
-See the `CONTRIBUTING.rst `_ for information on building example applications, running tests, and guidelines for adding code.
-
-
diff --git a/doc/Doxyfile.inc b/doc/Doxyfile.inc
new file mode 100644
index 000000000..56d7c8f6e
--- /dev/null
+++ b/doc/Doxyfile.inc
@@ -0,0 +1,45 @@
+# This file provides overrides to the Doxyfile configuration
+
+PROJECT_NAME = XCore SDK
+PROJECT_BRIEF = "XCore Software Development Kit"
+
+PREDEFINED = __DOXYGEN__=1
+PREDEFINED += DWORD_ALIGNED=
+PREDEFINED += __attribute__((weak))=
+PREDEFINED += C_API= MA_C_API= C_API_START= C_API_END= EXTERN_C=
+
+# Core library APIs
+INPUT += ../modules/core/modules/xs3_math
+
+# IO library APIs
+INPUT += ../modules/io/modules/i2c/api
+INPUT += ../modules/io/modules/i2s/api
+INPUT += ../modules/io/modules/qspi_io/api
+INPUT += ../modules/io/modules/spi/api
+INPUT += ../modules/io/modules/uart/api
+INPUT += ../modules/io/modules/mic_array/lib_mic_array/api ../modules/io/modules/mic_array/etc/vanilla
+
+# RTOS driver APIs
+INPUT += ../modules/rtos/modules/drivers
+
+# RTOS SW Services
+INPUT += ../modules/rtos/modules/sw_services/device_control/host ../modules/rtos/modules/sw_services/device_control/api
+
+# Avona library APIs
+INPUT += ../modules/avona/modules/lib_aec/api ../modules/avona/examples/bare-metal/shared_src/aec/
+INPUT += ../modules/avona/modules/lib_ns/api
+INPUT += ../modules/avona/modules/lib_agc/api
+INPUT += ../modules/avona/modules/lib_adec/api
+INPUT += ../modules/avona/modules/lib_ic/api
+INPUT += ../modules/avona/modules/lib_vad/api
+
+USE_MATHJAX = YES
+MATHJAX_FORMAT = HTML-CSS
+MATHJAX_RELPATH = https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/
+
+# Make short MATHJAX sequences prettier
+ALIASES += math{1}="@f$\1@f$"
+ALIASES += vector{1}="@f$\bar \1@f$"
+ALIASES += operation{1}="@par Operation Performed:^^@f{align*}{ \1 @f}"
+ALIASES += "beginrst=^^\verbatim embed:rst^^"
+ALIASES += "endrst=\endverbatim"
diff --git a/doc/README.rst b/doc/README.rst
new file mode 100644
index 000000000..118fd4bf9
--- /dev/null
+++ b/doc/README.rst
@@ -0,0 +1,48 @@
+####################
+Documentation Source
+####################
+
+This folder contains source files for the **XCore SDK documentation**. The sources do not render well in GitHub or an RST viewer. In addition, some information
+is not visible at all and some links will not be functional.
+
+********************
+Hosted Documentation
+********************
+
+TODO: Include URL for hosted documentation
+
+**********************
+Building Documentation
+**********************
+
+=============
+Prerequisites
+=============
+
+Install `Docker /xcore_sdk_venv
+
+Install development packages:
+
+.. code-block:: console
+
+ pip install -r tools/install/requirements.txt -r tools/install/contribute.txt -r doc/requirements.txt
+
+Run the following command to deactivate the Conda environment:
+
+.. code-block:: console
+
+ conda deactivate
+
+*************************************
+Contribution Guidelines and Standards
+*************************************
+
+Before sending your pull request, make sure your changes are consistent with these guidelines and are consistent with the coding style used in this xcore_sdk repository.
+
+**************************************************
+General Guidelines and Philosophy For Contribution
+**************************************************
+
+* Include unit tests when you contribute new features, as they help to a) prove that your code works correctly, and b) guard against future breaking changes to lower the maintenance cost.
+* Bug fixes also generally require unit tests, because the presence of bugs usually indicates insufficient test coverage.
+* Keep API compatibility in mind when you change code.
+
+***************************
+C, C++ and ASM coding style
+***************************
+
+Changes to C, C++ or ASM should be consistent with the style of existing C, C++ and ASM code.
+
+clang-format
+==============
+
+`clang-format `__ is a tool to format source code according to a set of rules and heuristics.
+
+clang-format can be used to:
+
+- Reformat a block of code to the SDK style.
+- Help you follow the XCore SDK coding style.
+
+The SDK's clang-format configuration file is `.clang-format` and is in the root of the xcore_sdk repository. The rules contained in ``.clang-format`` were originally derived from the Linux Kernel coding style. A few modifications have been made by the XCore SDK authors. Not all code in the XCore SDK follows the ``.clang-format`` rules. Some non-compliant code is intentional while some is not. Non-intentional instances should be addressed when the non-compliant code needs to be enhanced.
+
+For more information about `clang-format` visit:
+
+https://clang.llvm.org/docs/ClangFormat.html
+
+https://clang.llvm.org/docs/ClangFormatStyleOptions.html
+
+*******************
+Python coding style
+*******************
+
+All python code should be `blackened `__
+ - Copyright (C) 1998-2001,2003-2011,2013 Stewart Heitmann, licensed under `LICENSE `__
+ * - `FatFS `__
+ - Copyright (C) 2017 ChaN, licensed under a `BSD-style license `__
+ * - `FreeRTOS `__
+ * - HTTP Parser
+ - Copyright (c) Joyent, Inc. and other Node contributors, licensed under the `MIT license `__
+ * - `JSMN JSON Parser `__
+ - Copyright (c) 2010 Serge A. Zaitsev, licensed under the `MIT license `__
+ * - `KISS FFT `__
+ - Copyright (c) 2003-2010 Mark Borgerding, licensed under the `SPDX-License-Identifier BSD-3-Clause `__
+ * - `Mbed TLS library `__
+ * - `Paho MQTT C/C++ client for Embedded platforms `__
+ - Copyright (c) 2013 Eclipse Foundation, licensed under the `Eclipse Public License and Eclipse Distribution License `__
+ * - `TensorFlow `__
+ * - `TinyUSB `__
+ - Copyright (c) 2018 hathach (tinyusb.org), licensed under the `MIT license `__
diff --git a/doc/exclude_patterns.inc b/doc/exclude_patterns.inc
new file mode 100644
index 000000000..d90e4d144
--- /dev/null
+++ b/doc/exclude_patterns.inc
@@ -0,0 +1,14 @@
+# The following patterns are to be excluded from the documentation build
+*_venv
+documents/README.rst
+tools
+projects
+test
+modules/sample_rate_conversion
+modules/core/modules/legacy_compat
+modules/core/modules/otpinfo
+modules/core/modules/random
+modules/core/modules/inferencing
+modules/io/modules/xud
+modules/io/doc/substitutions.rst
+modules/avona/doc/substitutions.rst
diff --git a/doc/quick_start/index.rst b/doc/quick_start/index.rst
new file mode 100644
index 000000000..df044479f
--- /dev/null
+++ b/doc/quick_start/index.rst
@@ -0,0 +1,20 @@
+############
+Introduction
+############
+
+The XCore SDK is a collection of C/C++ software libraries designed to simplify and accelerate application development on XCore processors. It is composed of the following components:
+
+- Peripheral IO libraries including; UART, I2C, I2S, SPI, QSPI, PDM microphones, and USB. These libraries support bare-metal and RTOS application development.
+- Libraries core to DSP and AI applications, including; vectorized math, DSP, and neural network inferencing. These libraries support bare-metal and RTOS application development.
+- Voice processing libraries including; adaptive echo cancellation, adaptive gain control, noise suppression, interference cancellation (IC), and voice activity detection. These libraries support bare-metal and RTOS application development.
+- Libraries that enable `multi-core FreeRTOS development `__ on XCore including a wide array of RTOS drivers and middleware.
+- Code Examples - Examples showing a variety of XCore features based on bare-metal and FreeRTOS programming.
+- Documentation - Getting started guides, references and API guides.
+
+The SDK is designed to be used in conjunction with the xcore.ai Explorer board and the Voice Reference evaluation kit. The example applications compile targeting these boards. Further information about the Explorer board, the Voice Reference evaluation kit, and xcore.ai devices is available to on `www.xmos.ai ` for information on installing and using the XCore SDK.
diff --git a/doc/quick_start/installation.rst b/doc/quick_start/installation.rst
new file mode 100644
index 000000000..d25f4c018
--- /dev/null
+++ b/doc/quick_start/installation.rst
@@ -0,0 +1,74 @@
+.. _sdk-installation:
+
+############
+Installation
+############
+
+Follow the following steps to install and setup the SDK:
+
+Step 1. Cloning the SDK
+=======================
+
+Clone the XCore SDK repository with the following command:
+
+.. code-block:: console
+
+ $ git clone --recurse-submodules https://github.com/xmos/xcore_sdk.git
+
+Step 2. Install Host Applications
+=================================
+
+The SDK includes utilities that run on the PC host. Run the following command to build and install these utilities:
+
+.. tab:: Linux and MacOS
+
+ .. code-block:: console
+
+ $ cmake -B build_host
+ $ cd build_host
+ $ sudo make install
+
+ This command installs the applications at ``/opt/xmos/SDK//bin/`` directory. You may wish to append this directory to your ``PATH`` variable.
+
+ .. code-block:: console
+
+ $ export PATH=$PATH:/opt/xmos/SDK//bin/
+
+.. tab:: Windows
+
+ Windows users must run the x86 native tools command prompt from Visual Studio
+
+ .. code-block:: console
+
+ $ cmake -G "NMake Makefiles" -B build_host
+ $ cd build_host
+ $ make install
+
+ This command installs the applications at ``\.xmos\SDK\\bin\`` directory. You may wish to add this directory to your ``PATH`` variable.
+
+
+Optional Step 3. Install Python and Python Requirements
+=======================================================
+
+The SDK does not require installing Python, however, several example applications do utilize Python scripts. To run these scripts, Python 3 is needed, we recommend and test with Python 3.8. Install `Python `
+
diff --git a/doc/quick_start/system-requirements.rst b/doc/quick_start/system-requirements.rst
new file mode 100644
index 000000000..e1d32b0cc
--- /dev/null
+++ b/doc/quick_start/system-requirements.rst
@@ -0,0 +1,40 @@
+.. _sdk-system-requirements:
+
+###################
+System Requirements
+###################
+
+The XCore SDK is officially supported on the following platforms. Unofficial support is mentioned where appropriate.
+
+
+.. tab:: Windows
+
+ Windows 10 is supported.
+
+ Windows users can also use the Windows Subsystem for Linux (WSL). See `Windows Subsystem for Linux Installation Guide for Windows 10 `__ to install WSL.
+
+ The SDK should also work using other Windows GNU development environments like GNU Make, MinGW or Cygwin.
+
+.. tab:: Mac
+
+ Operating systems macOS 10.5 (Catalina) and newer are supported. Intel processors only. Older operating systems are likely to also work, though they are not supported.
+
+ A standard C/C++ compiler is required to build applications and libraries on the host PC. Mac users may use the Xcode command line tools.
+
+.. tab:: Linux
+
+ Many modern Linux distros including Fedora, Ubuntu, CentOS & Debian are supported.
+
+.. _sdk-prerequisites:
+
+*************
+Prerequisites
+*************
+
+`XTC Tools 15.0.6 `
\ No newline at end of file
diff --git a/doc/reference/index.rst b/doc/reference/index.rst
new file mode 100644
index 000000000..3438da75f
--- /dev/null
+++ b/doc/reference/index.rst
@@ -0,0 +1,11 @@
+##########
+References
+##########
+
+.. toctree::
+ :maxdepth: 2
+
+ ../../modules/core/index.rst
+ ../../modules/io/index.rst
+ ../../modules/avona/index.rst
+ ../../modules/rtos/index.rst
diff --git a/doc/requirements.txt b/doc/requirements.txt
new file mode 100644
index 000000000..dff4bd6e7
--- /dev/null
+++ b/doc/requirements.txt
@@ -0,0 +1,6 @@
+breathe
+furo
+Sphinx
+sphinx-copybutton
+sphinx-inline-tabs
+sphinx-autobuild
diff --git a/doc/substitutions.rst b/doc/substitutions.rst
new file mode 100644
index 000000000..a06ed94e8
--- /dev/null
+++ b/doc/substitutions.rst
@@ -0,0 +1,2 @@
+.. |I2C| replace:: I\ :sup:`2`\ C
+.. |I2S| replace:: I\ :sup:`2`\ S
diff --git a/doc/test/examples.rst b/doc/test/examples.rst
new file mode 100644
index 000000000..4c4219003
--- /dev/null
+++ b/doc/test/examples.rst
@@ -0,0 +1 @@
+.. include:: ../../test/examples/README.rst
\ No newline at end of file
diff --git a/doc/test/rtos_drivers/hil.rst b/doc/test/rtos_drivers/hil.rst
new file mode 100644
index 000000000..7806c63f6
--- /dev/null
+++ b/doc/test/rtos_drivers/hil.rst
@@ -0,0 +1 @@
+.. include:: ../../../test/rtos_drivers/hil/README.rst
diff --git a/doc/test/rtos_drivers/hil_add.rst b/doc/test/rtos_drivers/hil_add.rst
new file mode 100644
index 000000000..9c91fd282
--- /dev/null
+++ b/doc/test/rtos_drivers/hil_add.rst
@@ -0,0 +1 @@
+.. include:: ../../../test/rtos_drivers/hil_add/README.rst
diff --git a/doc/test/rtos_drivers/usb.rst b/doc/test/rtos_drivers/usb.rst
new file mode 100644
index 000000000..78570bef6
--- /dev/null
+++ b/doc/test/rtos_drivers/usb.rst
@@ -0,0 +1 @@
+.. include:: ../../../test/rtos_drivers/usb/README.rst
diff --git a/doc/test/rtos_drivers/wifi.rst b/doc/test/rtos_drivers/wifi.rst
new file mode 100644
index 000000000..6827ccabd
--- /dev/null
+++ b/doc/test/rtos_drivers/wifi.rst
@@ -0,0 +1 @@
+.. include:: ../../../test/rtos_drivers/wifi/README.rst
diff --git a/documents/reference/cmd_line_tools/convert_tflite_to_c_source.rst b/doc/tools/cmd_line_tools/convert_tflite_to_c_source.rst
similarity index 89%
rename from documents/reference/cmd_line_tools/convert_tflite_to_c_source.rst
rename to doc/tools/cmd_line_tools/convert_tflite_to_c_source.rst
index 08d8dcaa8..0517917d4 100644
--- a/documents/reference/cmd_line_tools/convert_tflite_to_c_source.rst
+++ b/doc/tools/cmd_line_tools/convert_tflite_to_c_source.rst
@@ -1,4 +1,4 @@
- .. _convert_tflite_to_c_source-manpage:
+.. _convert_tflite_to_c_source-manpage:
.. program:: convert_tflite_to_c_source.py
@@ -27,16 +27,14 @@ The ``convert_tflite_to_c_source.py`` script is used to generate source and head
Usage
=====
-
.. code-block:: console
- $ convert_tflite_to_c_source.py --input --source --header
+ convert_tflite_to_c_source.py --input --source --header
*******
Options
*******
-
Overall Options
===============
diff --git a/doc/tools/cmd_line_tools/index.rst b/doc/tools/cmd_line_tools/index.rst
new file mode 100644
index 000000000..c4f9eabfa
--- /dev/null
+++ b/doc/tools/cmd_line_tools/index.rst
@@ -0,0 +1,10 @@
+##################
+Command line tools
+##################
+
+This section describes the individual command line tools in a "man page" style.
+
+.. toctree::
+ :maxdepth: 2
+
+ convert_tflite_to_c_source
\ No newline at end of file
diff --git a/doc/tools/index.rst b/doc/tools/index.rst
new file mode 100644
index 000000000..07398cba4
--- /dev/null
+++ b/doc/tools/index.rst
@@ -0,0 +1,9 @@
+#####################
+XCore SDK Tools Guide
+#####################
+
+.. toctree::
+ :maxdepth: 2
+
+ installing_ai_tools
+ cmd_line_tools/index
\ No newline at end of file
diff --git a/doc/tools/installing_ai_tools.rst b/doc/tools/installing_ai_tools.rst
new file mode 100644
index 000000000..ac3c97749
--- /dev/null
+++ b/doc/tools/installing_ai_tools.rst
@@ -0,0 +1,50 @@
+
+############################
+Installing the XMOS AI Tools
+############################
+
+********
+Overview
+********
+
+The AI Tools are a collection of Python scripts, tools and libraries to convert TensorFlow Lite for Microcontroller models to a format targeting accelerated operations on the xcore.ai platform.
+
+************
+Installation
+************
+
+System Requirements
+===================
+
+Make sure your system meets the minumum :ref:`system requirements ` and that you have installed all necessary :ref:`prerequisites `.
+
+In addition, `Python 3.8 `_ or `CMake documentation ` and that you are familiar with FreeRTOS.
+
+************************
+RTOS Application Example
+************************
+
+A fully functional example application that can be found in the SDK under the path `examples/freertos/explorer_board `_. This application is a reference for how to use an RTOS drivers or software service, and serves as an example for how to structure an SMP RTOS application for XCore. Additional code to initialize the SoC platform for this example is provided by a board support configuration library `modules/rtos/modules/board_support/XCORE-AI-EXPLORER_2V0/platform `_
+
+This example application runs two instances of SMP FreeRTOS, one on each of the processor's two tiles. Because each tile has its own memory which is not shared between them, this can be viewed as a single asymmetric multiprocessing (AMP) system that comprises two SMP systems. A FreeRTOS thread that is created on one tile will never be scheduled to run on the other tile. Similarly, an RTOS object that is created on a tile, such as a queue, can only be accessed by threads and ISRs that run on that tile and never by code running on the other tile.
+
+That said, the example application is programmed and built as a single coherent application, which will be familiar to programmers who have previously programmed for the XCore in the XC programming language. Data that must be shared between threads running on different tiles is sent via a channel using the RTOS intertile driver, which under the hood uses a streaming channel between the tiles.
+
+Most of the I/O interface drivers in fact provide a mechanism to share driver instances between tiles that utilizes this intertile driver. For those familiar with XC programming, this can be viewed as a C alternative to XC interfaces.
+
+For example, a SPI interface might be available on tile 0. Normally, initialization code that runs on tile 0 sets this interface up and then starts the driver. Without any further initialization, code that runs on tile 1 will be unable to access this interface directly, due both to not having direct access to tile 0's memory, as well as not having direct access to tile 0's ports. The drivers, however, provide some additional initialization functions that can be used by the application to share the instance on tile 0 with tile 1. After this initialization is done, code running on tile 1 may use the instance with the same driver API as tile 0, almost as if it was actually running on tile 0.
+
+The example application referenced above, as well as the RTOS driver documentation, should be consulted to see exactly how to initialize and share driver instances. Additionally, not all IO is capable of being shared between tiles directly through the driver API due to timing constraints.
+
+The SDK provides the ON_TILE(t) preprocessor macro. This macro may be used by applications to ensure certain code is included only on a specific tile at compile time. In the example application, there is a single task that is created on both tiles that starts the drivers and creates the remaining application tasks. While this function is written as a single function, various parts are inside #if ON_TILE() blocks. For example, consider the following code snippet found inside the i2c_init() `function `_:
+
+.. code-block:: C
+
+ #if ON_TILE(I2C_TILE_NO)
+ rtos_intertile_t *client_intertile_ctx[1] = {intertile_ctx};
+ rtos_i2c_master_init(
+ i2c_master_ctx,
+ PORT_I2C_SCL, 0, 0,
+ PORT_I2C_SDA, 0, 0,
+ 0,
+ 100);
+
+ rtos_i2c_master_rpc_host_init(
+ i2c_master_ctx,
+ &i2c_rpc_config,
+ client_intertile_ctx,
+ 1);
+ #else
+ rtos_i2c_master_rpc_client_init(
+ i2c_master_ctx,
+ &i2c_rpc_config,
+ intertile_ctx);
+ #endif
+
+When this function is compiled for tile I2C_TILE_NO, only the first block is included. When it is compiled for the other tile, only the second block is included. When the application is run, tile I2C_TILE_NO performs the initialization of the the |I2C| master driver host, while the other tile initializes the |I2C| master driver client. Because the |I2C| driver instance is shared between the two tiles, it may in fact be set to either zero or one, providing a demonstration of the way that drivers instances may be shared between tiles.
+
+The SDK provides a single XC file that provides the `main()` function. This provided `main()` function calls `main_tile0()` through `main_tile3()`, depending on the number of tiles that the application requires and the number of tiles provided by the target XCore processor. The application must provide each of these tile entry point functions. Each one is provided with up to three channel ends that are connected to each of the other tiles.
+
+The example application provides both `main_tile0()` and `main_tile1()`. Each one calls a common initialization function that initializes all the drivers for the interfaces specific to its tile. These functions also call the initialization functions to share these driver instances between the tiles. These initialization functions are found in the `platform/platform_init.c` source file.
+
+Each tile then creates the `startup_task()` task and starts the FreeRTOS scheduler. The `startup_task()` completes the driver instance sharing and then starts all of the driver instances. The driver startup functions are found in the `platform/platform_start.c` source file.
+
+Consult the RTOS driver documentation for the details on what exactly each of the RTOS API functions called by this application does.
+
+****************************
+Board Support Configurations
+****************************
+
+XCore leverages its architecture to provide a flexible chip where many typically silicon based peripherals are found in software. This allows a chip to be reconfigured in a way that provides the specific IO required for a given application, thus resulting in a low cost yet incredibly silicon efficient solution. Board support configurations (bsp_configs) are the description for the hardware IO that exists in a given board. The bsp_configs provide the application programmer with an API to initialize and start the hardware configuration, as well as the supported RTOS driver contexts. The programming model in this FreeRTOS architecture is:
+ * `.xn files `__ provide the mapping of ports, pins, and links
+ * bsp_configs setup and start hardware IO and provide the application with RTOS driver contexts
+ * applications use the bsp_config init/start code as well as RTOS driver contexts, similar to conventional microcontroller programming models.
+
+
+To support any generic bsp_config, applications should call `platform_init()` before starting the scheduler, and then `platform_start()` after the scheduler is running and before any RTOS drivers are used.
+
+The bsp_configs provided with the XCore SDK in `modules/rtos/modules/bsp_config `_ are an excellent starting point. They provide the most common peripheral drivers that are supported by the boards that support the XCore SDK. For advanced users, it is recommended that you copy one of these bsp_config into your application project and customize as needed.
+
+*******************************
+Developing and Debugging Memory
+*******************************
+
+The XTC Tools provide compile time information to aid developers in creating and testing of their application.
+
+==============
+Resource Usage
+==============
+
+One of these features if the `-report` option, which will `Display a summary of resource usage`. One of the outputs of this report is memory usage, split into the stack, code, and data requirements of the program. Unlike most XC applications, FreeRTOS makes heavy use of dynamic memory allocation. The FreeRTOS heap will appear as `Data` in the XTC Tools report. The heap size is determined by the compile time definition `configTOTAL_HEAP_SIZE`, which can be found in an application's FreeRTOSConfig.h.
+
+For AMP SMP FreeRTOS builds, which are created using the cmake macro `merge_binaries()`, there are actually multiple application builds, one per tile, which are then combined. While building a given AMP application, the console output will contain both of the individual tile build reports.
+
+As an example, consider building the `example_freertos_explorer_board` target.
+
+.. code-block:: console
+
+ Constraint check for tile[0]:
+ Memory available: 524288, used: 318252 . OKAY
+ (Stack: 5260, Code: 42314, Data: 270678)
+ Constraints checks PASSED WITH CAVEATS.
+ Constraint check for tile[1]:
+ Memory available: 524288, used: 4060 . OKAY
+ (Stack: 356, Code: 3146, Data: 558)
+ Constraints checks PASSED.
+
+ Constraint check for tile[0]:
+ Memory available: 524288, used: 4836 . OKAY
+ (Stack: 356, Code: 3802, Data: 678)
+ Constraints checks PASSED.
+ Constraint check for tile[1]:
+ Memory available: 524288, used: 319476 . OKAY
+ (Stack: 14740, Code: 30730, Data: 274006)
+ Constraints checks PASSED WITH CAVEATS.
+
+
+In this example, the cmake contains the command:
+
+.. code-block:: cmake
+
+ merge_binaries(example_freertos_explorer_board tile0_example_freertos_explorer_board tile1_example_freertos_explorer_board 1)
+
+
+Which means the final application usage would be interpreted as:
+
+.. code-block:: console
+
+ Constraint check for tile[0]:
+ Memory available: 524288, used: 318252 . OKAY
+ (Stack: 5260, Code: 42314, Data: 270678)
+ Constraints checks PASSED WITH CAVEATS.
+ Constraint check for tile[1]:
+ Memory available: 524288, used: 319476 . OKAY
+ (Stack: 14740, Code: 30730, Data: 274006)
+ Constraints checks PASSED WITH CAVEATS.
+
+Because the tile 1 portion of the tile1 target build replaces the tile 1 portion in the tile0 target build.
+
+The XTC Tools also provide a method to examine the resource usage of a binary post build. This method will only work if used on the intermediate binaries.
+
+.. code-block:: console
+
+ $ xobjdump --resources tile0_example_freertos_explorer_board.xe
+ $ xobjdump --resources tile1_example_freertos_explorer_board.xe
+
+
+Note: Because the resulting example_freertos_explorer_board.xe binary was created by merging into tile0_example_freertos_explorer_board.xe, the results of `xobjdump --resources example_freertos_explorer_board.xe` will be the exact same as `xobjdump --resources tile0_example_freertos_explorer_board.xe` and not account for the actual tile 1 requirements.
+
+**************************
+Building RTOS Applications
+**************************
+
+RTOS applications using the SDK are built using `CMake`. The SDK provides many libraries, drivers and software services, all of which can be included by the application's ``CMakeLists.txt`` file. The application's CMakeLists can specify precisely which drivers and software services within the SDK should be included through the use of various CMake target aliases.
+
+See :ref:`Build System ` for more information on the SDK's build system.
+
+See :ref:`Target Aliases ` for more information on the SDK's build system target aliases.
+
+All SDK example applications have a README file with additional instructions on how to setup, build and run the application. In addition, they contain ``CMakeLists.txt`` files that can be used as starting point for a new application. See the :doc:`FreeRTOS Examples ` page for a list of all example applications.
+
+*******************
+Additional Examples
+*******************
+
+Additional code examples are provided on the :doc:`FreeRTOS Examples ` page.
diff --git a/doc/tutorials/freertos/application_programming.rst b/doc/tutorials/freertos/application_programming.rst
new file mode 100644
index 000000000..927cc3c03
--- /dev/null
+++ b/doc/tutorials/freertos/application_programming.rst
@@ -0,0 +1,99 @@
+.. include:: ../../substitutions.rst
+
+################################
+FreeRTOS Application Programming
+################################
+
+This document is intended to help you become familiar with FreeRTOS application programming on XCore.
+
+*********
+Rationale
+*********
+
+Traditionally, XCore multi-core processors have been programmed using the XC language. The XC language allows the programmer to statically place tasks on the available hardware cores and wire them together with channels to provide inter-process communication. The XC language also exposes "events," which are unique to the XCore architecture and are a useful alternative to interrupts.
+
+Using the XC language, it is possible to write dedicated application software with deterministic timing and very low latency between I/O and tasks.
+
+While XC elegantly enables the intrinsic, unique capabilities of the XCore architecture, there often needs to be higher level application type software running alongside it. The programming model that makes the lower level deterministic software possible may not be best suited for many higher level parts of an application that do not require deterministic timing. Where strict real-time execution is not required, higher level abstractions can be used to manage finite hardware resources, and provide a more familiar programming environment.
+
+A symmetric multiprocessing (SMP) real time operating system (RTOS) can be used to simplify XCore application designs, as well as to preserve the hard real-time benefits provided by the XCore architecture for the lower level software functions that require it.
+
+This document assumes familiarity with real time operating systems in general. Familiarity with FreeRTOS specifically should not be required, but will be helpful. For current up to date documentation on FreeRTOS see the following links on the `FreeRTOS website `_
+- `Developer Documentation `_
+- `API `_
+
+************
+SMP FreeRTOS
+************
+
+To support this new programming model for XCore, XMOS has extended the popular and free FreeRTOS kernel to support SMP (now upstreamed to Amazon Web Services). This allows for the kernel's scheduler to be started on any number of available XCore logical cores per tile, leaving the remaining free to support other program elements that combine to create complete systems. Once the scheduler is started, FreeRTOS threads are placed on cores dynamically at runtime, rather than statically at compile time. All the usual FreeRTOS rules for thread scheduling are followed, except that rather than only running the single highest priority thread that is ready at any given time, multiple threads may run simultaneously. The threads chosen to run are always the highest priority threads that are ready. When there are more threads of a single priority that are ready to run than the number of cores available, they are scheduled in a round robin fashion. Dynamic scheduling allows FreeRTOS to optimize physical core usage based on priority and availability at runtime, opening up the potential for using tile wide MIPs more efficiently than what could be manually specified in a static compile time setting.
+
+One of XCore’s primary strengths is its guarantee of deterministic behavior and timing. RTOS threads can also benefit from this determinism provided by the XCore architecture. An RTOS thread with interrupts disabled and a high enough priority behaves just as a bare-metal thread. An SMP RTOS kernel does not need to preempt a high priority thread because it has many other cores to utilize to schedule lower priority threads. Using an SMP RTOS allows developers to concentrate on specific requirements of their application without worrying about what affect they might have on non-preemptable thread response times. Furthermore, modification of the program in the future is much easier because the developer does not have to worry about affecting existing responsiveness with changes in unrelated areas. The non-preemptable threads will not be effected by adding lower-priority functionality.
+
+Another XCore strength is it's performance. xcore.ai provides lightning fast general purpose compute, AI acceleration, powerful DSP and instantaneous I/O control. RTOS threads can also benefit from the performance provided by the XCore architecture, allowing an application developer to dynamically shift performance usage from one application feature to another. If more general purpose compute is needed, simply make those tasks higher priority, if more AI acceleration suddenly is required, simply make those tasks higher priority. The same is true for DSP and I/O control.
+
+See `Symmetric Multiprocessing (SMP) with FreeRTOS `_ for information on SMP support in the FreeRTOS kernel and SMP specific considerations.
+
+****************
+AMP SMP FreeRTOS
+****************
+
+To further leverage the XCore hardware and the FreeRTOS programming model, XMOS provides support for asymmetric multiprocessing (AMP) per tile. Each XMOS chip contains at least two tiles, which consist of their own set of logical XCore cores, IO, memory space, and more. XMOS provides a build method and variety of software drivers to allow an application to be created that is an AMP system containing, multiple SMP FreeRTOS kernels. More information on how this programming model works can be found in :doc:`Getting Started with FreeRTOS `.
+
+************
+RTOS Drivers
+************
+
+To help ease development of XCore applications using an SMP RTOS, XMOS provides several SMP RTOS compatible drivers. These include, but are not necessarily limited to:
+
+- Common I/O interfaces
+
+ - GPIO
+ - UART
+ - |I2C|
+ - |I2S|
+ - PDM microphones
+ - QSPI flash
+ - SPI
+ - USB
+ - Clock control
+
+- XCore features
+
+ - Intertile channel communication
+ - Software defined memory (xcore.ai only)
+ - Software defined L2 Cache (xcore.ai only)
+
+- External parts
+
+ - Silicon Labs WF200 series WiFi transceiver
+
+These drivers are all found in the SDK under the path `modules/rtos/modules/drivers `_.
+
+Documentation on each of these drivers can be found under the :ref:`fwk_rtos-rtos_drivers` section in the SDK documentation pages.
+
+It is worth noting that most of these drivers utilize a lightweight RTOS abstraction layer, meaning that they are not dependent on FreeRTOS. Conceivably they should work on any SMP RTOS, provided an abstraction layer for it is provided. This abstraction layer is found under the path `modules/rtos/modules/osal `_. At the moment the only available SMP RTOS for XCore is the XMOS SMP FreeRTOS, but more may become available in the future.
+
+*****************
+Software Services
+*****************
+
+The SDK also includes some higher level RTOS compatible software services, some of which call the aforementioned drivers. These include, but are not necessarily limited to:
+
+- DHCP server
+- Dispatcher
+- FAT filesystem
+- HTTP parser
+- JSON parser
+- MQTT client
+- SNTP client
+- TLS
+- USB stack
+- WiFi connection manager
+
+Documentation on several software services can be found under the :ref:`fwk_rtos-rtos_services` section in the SDK documentation pages.
+
+These services are all found in the SDK under the path `modules/rtos/modules/sw_services `_.
+
diff --git a/doc/tutorials/freertos/common_issues.rst b/doc/tutorials/freertos/common_issues.rst
new file mode 100644
index 000000000..ea28da275
--- /dev/null
+++ b/doc/tutorials/freertos/common_issues.rst
@@ -0,0 +1,22 @@
+.. _freertos-common_issues:
+
+.. include:: ../../substitutions.rst
+
+######################
+FreeRTOS Common Issues
+######################
+
+****************
+Task Stack Space
+****************
+
+One easy to make mistake in FreeRTOS, is not providing enough stack space for a created task. A vast amount of questions exist online around how to select the FreeRTOS stack size, which the most common answer being to create the task with more than enough stack, force the worst case stack condition (not always trivial), and then use the FreeRTOS debug function `uxTaskGetStackHighWaterMark()` to determine how much you can decrease the stack. This method leaves plenty of room for error and must be done during runtime, and therefore on a build by build basis. The static analysis tools provided by The XTC Tools greatly simplify this process since they calculate the exact stack required for a given function call. The macro `RTOS_THREAD_STACK_SIZE` will return the `nstackwords` symbol for a given thread plus the additional space required for the kernel ISRs. Using this macro for every task create will ensure that there is appropriate stack space for each thread, and thus no stack overflow.
+
+.. code-block:: C
+
+ xTaskCreate((TaskFunction_t) task_foo,
+ "foo",
+ RTOS_THREAD_STACK_SIZE(task_foo),
+ NULL,
+ configMAX_PRIORITIES-1,
+ NULL);
diff --git a/doc/tutorials/freertos/examples/cifar10.rst b/doc/tutorials/freertos/examples/cifar10.rst
new file mode 100644
index 000000000..3b33331ed
--- /dev/null
+++ b/doc/tutorials/freertos/examples/cifar10.rst
@@ -0,0 +1 @@
+.. include:: ../../../../examples/freertos/cifar10/README.rst
diff --git a/doc/tutorials/freertos/examples/device_control.rst b/doc/tutorials/freertos/examples/device_control.rst
new file mode 100644
index 000000000..e128a6808
--- /dev/null
+++ b/doc/tutorials/freertos/examples/device_control.rst
@@ -0,0 +1 @@
+.. include:: ../../../../examples/freertos/device_control/README.rst
diff --git a/doc/tutorials/freertos/examples/dispatcher.rst b/doc/tutorials/freertos/examples/dispatcher.rst
new file mode 100644
index 000000000..23311c13b
--- /dev/null
+++ b/doc/tutorials/freertos/examples/dispatcher.rst
@@ -0,0 +1 @@
+.. include:: ../../../../examples/freertos/dispatcher/README.rst
diff --git a/doc/tutorials/freertos/examples/explorer_board.rst b/doc/tutorials/freertos/examples/explorer_board.rst
new file mode 100644
index 000000000..0a05eb1be
--- /dev/null
+++ b/doc/tutorials/freertos/examples/explorer_board.rst
@@ -0,0 +1 @@
+.. include:: ../../../../examples/freertos/explorer_board/README.rst
diff --git a/documents/tutorials/freertos/images/not_person.png b/doc/tutorials/freertos/examples/images/not_person.png
similarity index 100%
rename from documents/tutorials/freertos/images/not_person.png
rename to doc/tutorials/freertos/examples/images/not_person.png
diff --git a/documents/tutorials/freertos/images/person.png b/doc/tutorials/freertos/examples/images/person.png
similarity index 100%
rename from documents/tutorials/freertos/images/person.png
rename to doc/tutorials/freertos/examples/images/person.png
diff --git a/doc/tutorials/freertos/examples/index.rst b/doc/tutorials/freertos/examples/index.rst
new file mode 100644
index 000000000..24d67d2af
--- /dev/null
+++ b/doc/tutorials/freertos/examples/index.rst
@@ -0,0 +1,18 @@
+.. _sdk-freertos-code-examples:
+
+######################
+FreeRTOS Code Examples
+######################
+
+Several FreeRTOS code examples are included to illustrate the fundamental tool flow and provide a starting point for new applications. The examples do not seek to exhibit the full potential of the platform, and are purposely basic to provide instruction. Select an example below for more information on what the example demonstrates, how to build the example, and how to run it.
+
+.. toctree::
+ :maxdepth: 1
+ :includehidden:
+
+ explorer_board.rst
+ device_control.rst
+ dispatcher.rst
+ l2_cache.rst
+ cifar10.rst
+ iot.rst
diff --git a/doc/tutorials/freertos/examples/iot.rst b/doc/tutorials/freertos/examples/iot.rst
new file mode 100644
index 000000000..456150986
--- /dev/null
+++ b/doc/tutorials/freertos/examples/iot.rst
@@ -0,0 +1 @@
+.. include:: ../../../../examples/freertos/iot/README.rst
diff --git a/doc/tutorials/freertos/examples/l2_cache.rst b/doc/tutorials/freertos/examples/l2_cache.rst
new file mode 100644
index 000000000..bed600481
--- /dev/null
+++ b/doc/tutorials/freertos/examples/l2_cache.rst
@@ -0,0 +1 @@
+.. include:: ../../../../examples/freertos/l2_cache/README.rst
diff --git a/doc/tutorials/freertos/faq.rst b/doc/tutorials/freertos/faq.rst
new file mode 100644
index 000000000..99d4de943
--- /dev/null
+++ b/doc/tutorials/freertos/faq.rst
@@ -0,0 +1,33 @@
+.. _freertos-faq:
+
+.. include:: ../../substitutions.rst
+
+#############
+FreeRTOS FAQs
+#############
+
+1. What is the memory overhead of the FreeRTOS kernel?
+
+ The FreeRTOS kernel requires approximately 9kB of RAM.
+
+2. How do I determine the number of words to allocate for use as a task's stack?
+
+ Since tasks run within FreeRTOS, the RTOS stack requirement must be known at compile time. In FreeRTOS applications on most other microcontrollers, the general practice is to create a task with a large amount of stack, use the FreeRTOS stack debug functions to determine the worst case runtime usage of stack, and then adjust the stack memory value accordingly. The problem with this method is that the stack of any given thread varies greatly based on the functions that are called within, and thus a code or compiler optimization change result in the optimal task stack usage to have to be redetermined. This issue results in many FreeRTOS applications being written in such a way that wastes memory, by providing task with way more stack than they should need. Additionally, stack overflow bugs can remain hidden for a long time and even when bugs do manifest, the source can be difficult to pinpoint.
+
+ The XTC Tools address this issue by creating a symbol that represents the maximum stack requirement of any function at compile time. By using the `RTOS_THREAD_STACK_SIZE()` macro, for the stack words argument for creating a FreeRTOS task, it is guaranteed that the optimal stack requirement is used, provided that the function does not call function pointers nor can infinitely recurse.
+
+ .. code-block:: C
+
+ xTaskCreate((TaskFunction_t) example_task,
+ "example_task",
+ RTOS_THREAD_STACK_SIZE(example_task),
+ NULL,
+ EXAMPLE_TASK_PRIORITY,
+ NULL);
+
+ If function pointers are used within a thread, then the application programmer must annotate the code with the appropriate function pointer group attribute. For recursive functions, the only option is to specify the stack manually. See `Appendix A - Guiding Stack Size Calculation `_ in the XTC Tools documentation for more information.
+
+3. Can I use XCore resources like channels, timers and hw_locks?
+
+ You are free to use channels, ports, timers, etc… in your FreeRTOS applications. However, some considerations need to be made. The RTOS kernel knows about RTOS primitives. For example, if RTOS thread A attempts to take a semaphore, the kernel is free to schedule other tasks in thread A’s place while thread A is waiting for some other task to give the semaphore. The RTOS kernel does not know anything about XCore resources. For example, if RTOS thread A attempts to `recv` on a channel, the kernel is **not** free to schedule other tasks in its place while thread A is waiting for some other task to send to the other end of the channel. A developer should be aware that blocking calls on XCore resources will block a FreeRTOS thread. This may be OK as long as it is carefully considered in the application design. There are a variety of methods to handle the decoupling of XCore and RTOS resources. These can be best seen in the various RTOS drivers, which wrap the realtime IO hardware imitation layer.
+
diff --git a/doc/tutorials/freertos/getting_started.rst b/doc/tutorials/freertos/getting_started.rst
new file mode 100644
index 000000000..63560304d
--- /dev/null
+++ b/doc/tutorials/freertos/getting_started.rst
@@ -0,0 +1,9 @@
+.. _sdk-freertos-getting-started:
+
+.. include:: ../../../examples/freertos/getting_started/README.rst
+
+**********
+Next Steps
+**********
+
+Explore more :ref:`FreeRTOS code examples ` or return to the :ref:`Tutorials `.
diff --git a/doc/tutorials/freertos/index.rst b/doc/tutorials/freertos/index.rst
new file mode 100644
index 000000000..2f8903e85
--- /dev/null
+++ b/doc/tutorials/freertos/index.rst
@@ -0,0 +1,12 @@
+########
+FreeRTOS
+########
+
+.. toctree::
+ :maxdepth: 2
+
+ application_programming
+ application_design
+ examples/index
+ faq
+ common_issues
diff --git a/doc/tutorials/index.rst b/doc/tutorials/index.rst
new file mode 100644
index 000000000..96411f759
--- /dev/null
+++ b/doc/tutorials/index.rst
@@ -0,0 +1,30 @@
+.. _sdk-tutorials:
+
+######################
+Getting Started Guides
+######################
+
+Follow these 3 steps:
+
+#. :ref:`Check the system requirements and prerequisites `
+#. :ref:`Install the SDK `
+#. Select the Getting Started guide below based on your preferred development path
+
+- :ref:`Build and run your first FreeRTOS application on XCore `
+- :ref:`Build and run your first bare-metal application on XCore `
+
+Now you are ready to dive into the advanced tutorials.
+
+.. _sdk-advanced-tutorials:
+
+##################
+Advanced Tutorials
+##################
+
+.. toctree::
+ :maxdepth: 2
+
+ platform
+ build_system/index
+ freertos/index
+ bare-metal/index
diff --git a/doc/tutorials/platform.rst b/doc/tutorials/platform.rst
new file mode 100644
index 000000000..7905309f9
--- /dev/null
+++ b/doc/tutorials/platform.rst
@@ -0,0 +1,15 @@
+########
+Platform
+########
+
+*****************************
+Architecture & Hardware Guide
+*****************************
+
+See the `Architecture & Hardware Guide `_ in the XTC Tools documentation for an introduction to the XCore platform architecture and hardware.
+
+*****************
+Programming Guide
+*****************
+
+See the `Programming Guide `_ in the XTC Tools documentation for an introduction to XCore platform programming.
diff --git a/doc/versions.rst b/doc/versions.rst
new file mode 100644
index 000000000..85819b638
--- /dev/null
+++ b/doc/versions.rst
@@ -0,0 +1,59 @@
+########
+Versions
+########
+
+********
+Releases
+********
+
+The ``develop`` branch where new development takes place. For production use, there are also stable releases available. The ``main`` branch represents the most recent stable release.
+
+A history of all releases can be found on the `Releases `_ page. The Releases page is where
+you can find release notes, links to each version of the documentation, and instructions for checking out each version.
+
+**********
+Versioning
+**********
+
+The XCore SDK uses `Semantic Versioning ... \endif and \cond
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-# all documented entities called/used by that function will be listed.
-# The default value is: NO.
-
-REFERENCES_RELATION = NO
-
-# If the REFERENCES_LINK_SOURCE tag is set to YES and SOURCE_BROWSER tag is set
-# to YES then the hyperlinks from functions in REFERENCES_RELATION and
-# REFERENCED_BY_RELATION lists will link to the source code. Otherwise they will
-# link to the documentation.
-# The default value is: YES.
-
-REFERENCES_LINK_SOURCE = YES
-
-# If SOURCE_TOOLTIPS is enabled (the default) then hovering a hyperlink in the
-# source code will show a tooltip with additional information such as prototype,
-# brief description and links to the definition and documentation. Since this
-# will make the HTML file larger and loading of large files a bit slower, you
-# can opt to disable this feature.
-# The default value is: YES.
-# This tag requires that the tag SOURCE_BROWSER is set to YES.
-
-SOURCE_TOOLTIPS = YES
-
-# If the USE_HTAGS tag is set to YES then the references to source code will
-# point to the HTML generated by the htags(1) tool instead of doxygen built-in
-# source browser. The htags tool is part of GNU's global source tagging system
-# (see https://www.gnu.org/software/global/global.html). You will need version
-# 4.8.6 or higher.
-#
-# To use it do the following:
-# - Install the latest version of global
-# - Enable SOURCE_BROWSER and USE_HTAGS in the configuration file
-# - Make sure the INPUT points to the root of the source tree
-# - Run doxygen as normal
-#
-# Doxygen will invoke htags (and that will in turn invoke gtags), so these
-# tools must be available from the command line (i.e. in the search path).
-#
-# The result: instead of the source browser generated by doxygen, the links to
-# source code will now point to the output of htags.
-# The default value is: NO.
-# This tag requires that the tag SOURCE_BROWSER is set to YES.
-
-USE_HTAGS = NO
-
-# If the VERBATIM_HEADERS tag is set the YES then doxygen will generate a
-# verbatim copy of the header file for each class for which an include is
-# specified. Set to NO to disable this.
-# See also: Section \class.
-# The default value is: YES.
-
-VERBATIM_HEADERS = YES
-
-# If the CLANG_ASSISTED_PARSING tag is set to YES then doxygen will use the
-# clang parser (see:
-# http://clang.llvm.org/) for more accurate parsing at the cost of reduced
-# performance. This can be particularly helpful with template rich C++ code for
-# which doxygen's built-in parser lacks the necessary type information.
-# Note: The availability of this option depends on whether or not doxygen was
-# generated with the -Duse_libclang=ON option for CMake.
-# The default value is: NO.
-
-CLANG_ASSISTED_PARSING = NO
-
-# If clang assisted parsing is enabled and the CLANG_ADD_INC_PATHS tag is set to
-# YES then doxygen will add the directory of each input to the include path.
-# The default value is: YES.
-
-CLANG_ADD_INC_PATHS = YES
-
-# If clang assisted parsing is enabled you can provide the compiler with command
-# line options that you would normally use when invoking the compiler. Note that
-# the include paths will already be set by doxygen for the files and directories
-# specified with INPUT and INCLUDE_PATH.
-# This tag requires that the tag CLANG_ASSISTED_PARSING is set to YES.
-
-CLANG_OPTIONS =
-
-# If clang assisted parsing is enabled you can provide the clang parser with the
-# path to the directory containing a file called compile_commands.json. This
-# file is the compilation database (see:
-# http://clang.llvm.org/docs/HowToSetupToolingForLLVM.html) containing the
-# options used when the source files were built. This is equivalent to
-# specifying the -p option to a clang tool, such as clang-check. These options
-# will then be passed to the parser. Any options specified with CLANG_OPTIONS
-# will be added as well.
-# Note: The availability of this option depends on whether or not doxygen was
-# generated with the -Duse_libclang=ON option for CMake.
-
-CLANG_DATABASE_PATH =
-
-#---------------------------------------------------------------------------
-# Configuration options related to the alphabetical class index
-#---------------------------------------------------------------------------
-
-# If the ALPHABETICAL_INDEX tag is set to YES, an alphabetical index of all
-# compounds will be generated. Enable this if the project contains a lot of
-# classes, structs, unions or interfaces.
-# The default value is: YES.
-
-ALPHABETICAL_INDEX = YES
-
-# In case all classes in a project start with a common prefix, all classes will
-# be put under the same header in the alphabetical index. The IGNORE_PREFIX tag
-# can be used to specify a prefix (or a list of prefixes) that should be ignored
-# while generating the index headers.
-# This tag requires that the tag ALPHABETICAL_INDEX is set to YES.
-
-IGNORE_PREFIX =
-
-#---------------------------------------------------------------------------
-# Configuration options related to the HTML output
-#---------------------------------------------------------------------------
-
-# If the GENERATE_HTML tag is set to YES, doxygen will generate HTML output
-# The default value is: YES.
-
-GENERATE_HTML = YES
-
-# The HTML_OUTPUT tag is used to specify where the HTML docs will be put. If a
-# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
-# it.
-# The default directory is: html.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_OUTPUT = html
-
-# The HTML_FILE_EXTENSION tag can be used to specify the file extension for each
-# generated HTML page (for example: .htm, .php, .asp).
-# The default value is: .html.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_FILE_EXTENSION = .html
-
-# The HTML_HEADER tag can be used to specify a user-defined HTML header file for
-# each generated HTML page. If the tag is left blank doxygen will generate a
-# standard header.
-#
-# To get valid HTML the header file that includes any scripts and style sheets
-# that doxygen needs, which is dependent on the configuration options used (e.g.
-# the setting GENERATE_TREEVIEW). It is highly recommended to start with a
-# default header using
-# doxygen -w html new_header.html new_footer.html new_stylesheet.css
-# YourConfigFile
-# and then modify the file new_header.html. See also section "Doxygen usage"
-# for information on how to generate the default header that doxygen normally
-# uses.
-# Note: The header is subject to change so you typically have to regenerate the
-# default header when upgrading to a newer version of doxygen. For a description
-# of the possible markers and block names see the documentation.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_HEADER =
-
-# The HTML_FOOTER tag can be used to specify a user-defined HTML footer for each
-# generated HTML page. If the tag is left blank doxygen will generate a standard
-# footer. See HTML_HEADER for more information on how to generate a default
-# footer and what special commands can be used inside the footer. See also
-# section "Doxygen usage" for information on how to generate the default footer
-# that doxygen normally uses.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_FOOTER =
-
-# The HTML_STYLESHEET tag can be used to specify a user-defined cascading style
-# sheet that is used by each HTML page. It can be used to fine-tune the look of
-# the HTML output. If left blank doxygen will generate a default style sheet.
-# See also section "Doxygen usage" for information on how to generate the style
-# sheet that doxygen normally uses.
-# Note: It is recommended to use HTML_EXTRA_STYLESHEET instead of this tag, as
-# it is more robust and this tag (HTML_STYLESHEET) will in the future become
-# obsolete.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_STYLESHEET =
-
-# The HTML_EXTRA_STYLESHEET tag can be used to specify additional user-defined
-# cascading style sheets that are included after the standard style sheets
-# created by doxygen. Using this option one can overrule certain style aspects.
-# This is preferred over using HTML_STYLESHEET since it does not replace the
-# standard style sheet and is therefore more robust against future updates.
-# Doxygen will copy the style sheet files to the output directory.
-# Note: The order of the extra style sheet files is of importance (e.g. the last
-# style sheet in the list overrules the setting of the previous ones in the
-# list). For an example see the documentation.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_EXTRA_STYLESHEET =
-
-# The HTML_EXTRA_FILES tag can be used to specify one or more extra images or
-# other source files which should be copied to the HTML output directory. Note
-# that these files will be copied to the base HTML output directory. Use the
-# $relpath^ marker in the HTML_HEADER and/or HTML_FOOTER files to load these
-# files. In the HTML_STYLESHEET file, use the file name only. Also note that the
-# files will be copied as-is; there are no commands or markers available.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_EXTRA_FILES =
-
-# The HTML_COLORSTYLE_HUE tag controls the color of the HTML output. Doxygen
-# will adjust the colors in the style sheet and background images according to
-# this color. Hue is specified as an angle on a colorwheel, see
-# https://en.wikipedia.org/wiki/Hue for more information. For instance the value
-# 0 represents red, 60 is yellow, 120 is green, 180 is cyan, 240 is blue, 300
-# purple, and 360 is red again.
-# Minimum value: 0, maximum value: 359, default value: 220.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_COLORSTYLE_HUE = 220
-
-# The HTML_COLORSTYLE_SAT tag controls the purity (or saturation) of the colors
-# in the HTML output. For a value of 0 the output will use grayscales only. A
-# value of 255 will produce the most vivid colors.
-# Minimum value: 0, maximum value: 255, default value: 100.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_COLORSTYLE_SAT = 100
-
-# The HTML_COLORSTYLE_GAMMA tag controls the gamma correction applied to the
-# luminance component of the colors in the HTML output. Values below 100
-# gradually make the output lighter, whereas values above 100 make the output
-# darker. The value divided by 100 is the actual gamma applied, so 80 represents
-# a gamma of 0.8, The value 220 represents a gamma of 2.2, and 100 does not
-# change the gamma.
-# Minimum value: 40, maximum value: 240, default value: 80.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_COLORSTYLE_GAMMA = 80
-
-# If the HTML_TIMESTAMP tag is set to YES then the footer of each generated HTML
-# page will contain the date and time when the page was generated. Setting this
-# to YES can help to show when doxygen was last run and thus if the
-# documentation is up to date.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_TIMESTAMP = NO
-
-# If the HTML_DYNAMIC_MENUS tag is set to YES then the generated HTML
-# documentation will contain a main index with vertical navigation menus that
-# are dynamically created via JavaScript. If disabled, the navigation index will
-# consists of multiple levels of tabs that are statically embedded in every HTML
-# page. Disable this option to support browsers that do not have JavaScript,
-# like the Qt help browser.
-# The default value is: YES.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_DYNAMIC_MENUS = YES
-
-# If the HTML_DYNAMIC_SECTIONS tag is set to YES then the generated HTML
-# documentation will contain sections that can be hidden and shown after the
-# page has loaded.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_DYNAMIC_SECTIONS = NO
-
-# With HTML_INDEX_NUM_ENTRIES one can control the preferred number of entries
-# shown in the various tree structured indices initially; the user can expand
-# and collapse entries dynamically later on. Doxygen will expand the tree to
-# such a level that at most the specified number of entries are visible (unless
-# a fully collapsed tree already exceeds this amount). So setting the number of
-# entries 1 will produce a full collapsed tree by default. 0 is a special value
-# representing an infinite number of entries and will result in a full expanded
-# tree by default.
-# Minimum value: 0, maximum value: 9999, default value: 100.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_INDEX_NUM_ENTRIES = 100
-
-# If the GENERATE_DOCSET tag is set to YES, additional index files will be
-# generated that can be used as input for Apple's Xcode 3 integrated development
-# environment (see:
-# https://developer.apple.com/xcode/), introduced with OSX 10.5 (Leopard). To
-# create a documentation set, doxygen will generate a Makefile in the HTML
-# output directory. Running make will produce the docset in that directory and
-# running make install will install the docset in
-# ~/Library/Developer/Shared/Documentation/DocSets so that Xcode will find it at
-# startup. See https://developer.apple.com/library/archive/featuredarticles/Doxy
-# genXcode/_index.html for more information.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-GENERATE_DOCSET = NO
-
-# This tag determines the name of the docset feed. A documentation feed provides
-# an umbrella under which multiple documentation sets from a single provider
-# (such as a company or product suite) can be grouped.
-# The default value is: Doxygen generated docs.
-# This tag requires that the tag GENERATE_DOCSET is set to YES.
-
-DOCSET_FEEDNAME = "Doxygen generated docs"
-
-# This tag specifies a string that should uniquely identify the documentation
-# set bundle. This should be a reverse domain-name style string, e.g.
-# com.mycompany.MyDocSet. Doxygen will append .docset to the name.
-# The default value is: org.doxygen.Project.
-# This tag requires that the tag GENERATE_DOCSET is set to YES.
-
-DOCSET_BUNDLE_ID = org.doxygen.Project
-
-# The DOCSET_PUBLISHER_ID tag specifies a string that should uniquely identify
-# the documentation publisher. This should be a reverse domain-name style
-# string, e.g. com.mycompany.MyDocSet.documentation.
-# The default value is: org.doxygen.Publisher.
-# This tag requires that the tag GENERATE_DOCSET is set to YES.
-
-DOCSET_PUBLISHER_ID = org.doxygen.Publisher
-
-# The DOCSET_PUBLISHER_NAME tag identifies the documentation publisher.
-# The default value is: Publisher.
-# This tag requires that the tag GENERATE_DOCSET is set to YES.
-
-DOCSET_PUBLISHER_NAME = Publisher
-
-# If the GENERATE_HTMLHELP tag is set to YES then doxygen generates three
-# additional HTML index files: index.hhp, index.hhc, and index.hhk. The
-# index.hhp is a project file that can be read by Microsoft's HTML Help Workshop
-# (see:
-# https://www.microsoft.com/en-us/download/details.aspx?id=21138) on Windows.
-#
-# The HTML Help Workshop contains a compiler that can convert all HTML output
-# generated by doxygen into a single compiled HTML file (.chm). Compiled HTML
-# files are now used as the Windows 98 help format, and will replace the old
-# Windows help format (.hlp) on all Windows platforms in the future. Compressed
-# HTML files also contain an index, a table of contents, and you can search for
-# words in the documentation. The HTML workshop also contains a viewer for
-# compressed HTML files.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-GENERATE_HTMLHELP = NO
-
-# The CHM_FILE tag can be used to specify the file name of the resulting .chm
-# file. You can add a path in front of the file if the result should not be
-# written to the html output directory.
-# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
-
-CHM_FILE =
-
-# The HHC_LOCATION tag can be used to specify the location (absolute path
-# including file name) of the HTML help compiler (hhc.exe). If non-empty,
-# doxygen will try to run the HTML help compiler on the generated index.hhp.
-# The file has to be specified with full path.
-# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
-
-HHC_LOCATION =
-
-# The GENERATE_CHI flag controls if a separate .chi index file is generated
-# (YES) or that it should be included in the main .chm file (NO).
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
-
-GENERATE_CHI = NO
-
-# The CHM_INDEX_ENCODING is used to encode HtmlHelp index (hhk), content (hhc)
-# and project file content.
-# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
-
-CHM_INDEX_ENCODING =
-
-# The BINARY_TOC flag controls whether a binary table of contents is generated
-# (YES) or a normal table of contents (NO) in the .chm file. Furthermore it
-# enables the Previous and Next buttons.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
-
-BINARY_TOC = NO
-
-# The TOC_EXPAND flag can be set to YES to add extra items for group members to
-# the table of contents of the HTML help documentation and to the tree view.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
-
-TOC_EXPAND = NO
-
-# If the GENERATE_QHP tag is set to YES and both QHP_NAMESPACE and
-# QHP_VIRTUAL_FOLDER are set, an additional index file will be generated that
-# can be used as input for Qt's qhelpgenerator to generate a Qt Compressed Help
-# (.qch) of the generated HTML documentation.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-GENERATE_QHP = NO
-
-# If the QHG_LOCATION tag is specified, the QCH_FILE tag can be used to specify
-# the file name of the resulting .qch file. The path specified is relative to
-# the HTML output folder.
-# This tag requires that the tag GENERATE_QHP is set to YES.
-
-QCH_FILE =
-
-# The QHP_NAMESPACE tag specifies the namespace to use when generating Qt Help
-# Project output. For more information please see Qt Help Project / Namespace
-# (see:
-# https://doc.qt.io/archives/qt-4.8/qthelpproject.html#namespace).
-# The default value is: org.doxygen.Project.
-# This tag requires that the tag GENERATE_QHP is set to YES.
-
-QHP_NAMESPACE = org.doxygen.Project
-
-# The QHP_VIRTUAL_FOLDER tag specifies the namespace to use when generating Qt
-# Help Project output. For more information please see Qt Help Project / Virtual
-# Folders (see:
-# https://doc.qt.io/archives/qt-4.8/qthelpproject.html#virtual-folders).
-# The default value is: doc.
-# This tag requires that the tag GENERATE_QHP is set to YES.
-
-QHP_VIRTUAL_FOLDER = doc
-
-# If the QHP_CUST_FILTER_NAME tag is set, it specifies the name of a custom
-# filter to add. For more information please see Qt Help Project / Custom
-# Filters (see:
-# https://doc.qt.io/archives/qt-4.8/qthelpproject.html#custom-filters).
-# This tag requires that the tag GENERATE_QHP is set to YES.
-
-QHP_CUST_FILTER_NAME =
-
-# The QHP_CUST_FILTER_ATTRS tag specifies the list of the attributes of the
-# custom filter to add. For more information please see Qt Help Project / Custom
-# Filters (see:
-# https://doc.qt.io/archives/qt-4.8/qthelpproject.html#custom-filters).
-# This tag requires that the tag GENERATE_QHP is set to YES.
-
-QHP_CUST_FILTER_ATTRS =
-
-# The QHP_SECT_FILTER_ATTRS tag specifies the list of the attributes this
-# project's filter section matches. Qt Help Project / Filter Attributes (see:
-# https://doc.qt.io/archives/qt-4.8/qthelpproject.html#filter-attributes).
-# This tag requires that the tag GENERATE_QHP is set to YES.
-
-QHP_SECT_FILTER_ATTRS =
-
-# The QHG_LOCATION tag can be used to specify the location (absolute path
-# including file name) of Qt's qhelpgenerator. If non-empty doxygen will try to
-# run qhelpgenerator on the generated .qhp file.
-# This tag requires that the tag GENERATE_QHP is set to YES.
-
-QHG_LOCATION =
-
-# If the GENERATE_ECLIPSEHELP tag is set to YES, additional index files will be
-# generated, together with the HTML files, they form an Eclipse help plugin. To
-# install this plugin and make it available under the help contents menu in
-# Eclipse, the contents of the directory containing the HTML and XML files needs
-# to be copied into the plugins directory of eclipse. The name of the directory
-# within the plugins directory should be the same as the ECLIPSE_DOC_ID value.
-# After copying Eclipse needs to be restarted before the help appears.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-GENERATE_ECLIPSEHELP = NO
-
-# A unique identifier for the Eclipse help plugin. When installing the plugin
-# the directory name containing the HTML and XML files should also have this
-# name. Each documentation set should have its own identifier.
-# The default value is: org.doxygen.Project.
-# This tag requires that the tag GENERATE_ECLIPSEHELP is set to YES.
-
-ECLIPSE_DOC_ID = org.doxygen.Project
-
-# If you want full control over the layout of the generated HTML pages it might
-# be necessary to disable the index and replace it with your own. The
-# DISABLE_INDEX tag can be used to turn on/off the condensed index (tabs) at top
-# of each HTML page. A value of NO enables the index and the value YES disables
-# it. Since the tabs in the index contain the same information as the navigation
-# tree, you can set this option to YES if you also set GENERATE_TREEVIEW to YES.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-DISABLE_INDEX = NO
-
-# The GENERATE_TREEVIEW tag is used to specify whether a tree-like index
-# structure should be generated to display hierarchical information. If the tag
-# value is set to YES, a side panel will be generated containing a tree-like
-# index structure (just like the one that is generated for HTML Help). For this
-# to work a browser that supports JavaScript, DHTML, CSS and frames is required
-# (i.e. any modern browser). Windows users are probably better off using the
-# HTML help feature. Via custom style sheets (see HTML_EXTRA_STYLESHEET) one can
-# further fine-tune the look of the index. As an example, the default style
-# sheet generated by doxygen has an example that shows how to put an image at
-# the root of the tree instead of the PROJECT_NAME. Since the tree basically has
-# the same information as the tab index, you could consider setting
-# DISABLE_INDEX to YES when enabling this option.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-GENERATE_TREEVIEW = NO
-
-# The ENUM_VALUES_PER_LINE tag can be used to set the number of enum values that
-# doxygen will group on one line in the generated HTML documentation.
-#
-# Note that a value of 0 will completely suppress the enum values from appearing
-# in the overview section.
-# Minimum value: 0, maximum value: 20, default value: 4.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-ENUM_VALUES_PER_LINE = 4
-
-# If the treeview is enabled (see GENERATE_TREEVIEW) then this tag can be used
-# to set the initial width (in pixels) of the frame in which the tree is shown.
-# Minimum value: 0, maximum value: 1500, default value: 250.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-TREEVIEW_WIDTH = 250
-
-# If the EXT_LINKS_IN_WINDOW option is set to YES, doxygen will open links to
-# external symbols imported via tag files in a separate window.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-EXT_LINKS_IN_WINDOW = NO
-
-# If the HTML_FORMULA_FORMAT option is set to svg, doxygen will use the pdf2svg
-# tool (see https://github.com/dawbarton/pdf2svg) or inkscape (see
-# https://inkscape.org) to generate formulas as SVG images instead of PNGs for
-# the HTML output. These images will generally look nicer at scaled resolutions.
-# Possible values are: png (the default) and svg (looks nicer but requires the
-# pdf2svg or inkscape tool).
-# The default value is: png.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_FORMULA_FORMAT = png
-
-# Use this tag to change the font size of LaTeX formulas included as images in
-# the HTML documentation. When you change the font size after a successful
-# doxygen run you need to manually remove any form_*.png images from the HTML
-# output directory to force them to be regenerated.
-# Minimum value: 8, maximum value: 50, default value: 10.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-FORMULA_FONTSIZE = 10
-
-# Use the FORMULA_TRANSPARENT tag to determine whether or not the images
-# generated for formulas are transparent PNGs. Transparent PNGs are not
-# supported properly for IE 6.0, but are supported on all modern browsers.
-#
-# Note that when changing this option you need to delete any form_*.png files in
-# the HTML output directory before the changes have effect.
-# The default value is: YES.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-FORMULA_TRANSPARENT = YES
-
-# The FORMULA_MACROFILE can contain LaTeX \newcommand and \renewcommand commands
-# to create new LaTeX commands to be used in formulas as building blocks. See
-# the section "Including formulas" for details.
-
-FORMULA_MACROFILE =
-
-# Enable the USE_MATHJAX option to render LaTeX formulas using MathJax (see
-# https://www.mathjax.org) which uses client side JavaScript for the rendering
-# instead of using pre-rendered bitmaps. Use this if you do not have LaTeX
-# installed or if you want to formulas look prettier in the HTML output. When
-# enabled you may also need to install MathJax separately and configure the path
-# to it using the MATHJAX_RELPATH option.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-USE_MATHJAX = NO
-
-# When MathJax is enabled you can set the default output format to be used for
-# the MathJax output. See the MathJax site (see:
-# http://docs.mathjax.org/en/v2.7-latest/output.html) for more details.
-# Possible values are: HTML-CSS (which is slower, but has the best
-# compatibility), NativeMML (i.e. MathML) and SVG.
-# The default value is: HTML-CSS.
-# This tag requires that the tag USE_MATHJAX is set to YES.
-
-MATHJAX_FORMAT = HTML-CSS
-
-# When MathJax is enabled you need to specify the location relative to the HTML
-# output directory using the MATHJAX_RELPATH option. The destination directory
-# should contain the MathJax.js script. For instance, if the mathjax directory
-# is located at the same level as the HTML output directory, then
-# MATHJAX_RELPATH should be ../mathjax. The default value points to the MathJax
-# Content Delivery Network so you can quickly see the result without installing
-# MathJax. However, it is strongly recommended to install a local copy of
-# MathJax from https://www.mathjax.org before deployment.
-# The default value is: https://cdn.jsdelivr.net/npm/mathjax@2.
-# This tag requires that the tag USE_MATHJAX is set to YES.
-
-MATHJAX_RELPATH = https://cdn.jsdelivr.net/npm/mathjax@2
-
-# The MATHJAX_EXTENSIONS tag can be used to specify one or more MathJax
-# extension names that should be enabled during MathJax rendering. For example
-# MATHJAX_EXTENSIONS = TeX/AMSmath TeX/AMSsymbols
-# This tag requires that the tag USE_MATHJAX is set to YES.
-
-MATHJAX_EXTENSIONS =
-
-# The MATHJAX_CODEFILE tag can be used to specify a file with javascript pieces
-# of code that will be used on startup of the MathJax code. See the MathJax site
-# (see:
-# http://docs.mathjax.org/en/v2.7-latest/output.html) for more details. For an
-# example see the documentation.
-# This tag requires that the tag USE_MATHJAX is set to YES.
-
-MATHJAX_CODEFILE =
-
-# When the SEARCHENGINE tag is enabled doxygen will generate a search box for
-# the HTML output. The underlying search engine uses javascript and DHTML and
-# should work on any modern browser. Note that when using HTML help
-# (GENERATE_HTMLHELP), Qt help (GENERATE_QHP), or docsets (GENERATE_DOCSET)
-# there is already a search function so this one should typically be disabled.
-# For large projects the javascript based search engine can be slow, then
-# enabling SERVER_BASED_SEARCH may provide a better solution. It is possible to
-# search using the keyboard; to jump to the search box use + S
-# (what the is depends on the OS and browser, but it is typically
-# , /, or both). Inside the search box use the to jump into the search results window, the results can be navigated
-# using the . Press to select an item or to cancel
-# the search. The filter options can be selected when the cursor is inside the
-# search box by pressing +. Also here use the
-# to select a filter and or to activate or cancel the filter
-# option.
-# The default value is: YES.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-SEARCHENGINE = YES
-
-# When the SERVER_BASED_SEARCH tag is enabled the search engine will be
-# implemented using a web server instead of a web client using JavaScript. There
-# are two flavors of web server based searching depending on the EXTERNAL_SEARCH
-# setting. When disabled, doxygen will generate a PHP script for searching and
-# an index file used by the script. When EXTERNAL_SEARCH is enabled the indexing
-# and searching needs to be provided by external tools. See the section
-# "External Indexing and Searching" for details.
-# The default value is: NO.
-# This tag requires that the tag SEARCHENGINE is set to YES.
-
-SERVER_BASED_SEARCH = NO
-
-# When EXTERNAL_SEARCH tag is enabled doxygen will no longer generate the PHP
-# script for searching. Instead the search results are written to an XML file
-# which needs to be processed by an external indexer. Doxygen will invoke an
-# external search engine pointed to by the SEARCHENGINE_URL option to obtain the
-# search results.
-#
-# Doxygen ships with an example indexer (doxyindexer) and search engine
-# (doxysearch.cgi) which are based on the open source search engine library
-# Xapian (see:
-# https://xapian.org/).
-#
-# See the section "External Indexing and Searching" for details.
-# The default value is: NO.
-# This tag requires that the tag SEARCHENGINE is set to YES.
-
-EXTERNAL_SEARCH = NO
-
-# The SEARCHENGINE_URL should point to a search engine hosted by a web server
-# which will return the search results when EXTERNAL_SEARCH is enabled.
-#
-# Doxygen ships with an example indexer (doxyindexer) and search engine
-# (doxysearch.cgi) which are based on the open source search engine library
-# Xapian (see:
-# https://xapian.org/). See the section "External Indexing and Searching" for
-# details.
-# This tag requires that the tag SEARCHENGINE is set to YES.
-
-SEARCHENGINE_URL =
-
-# When SERVER_BASED_SEARCH and EXTERNAL_SEARCH are both enabled the unindexed
-# search data is written to a file for indexing by an external tool. With the
-# SEARCHDATA_FILE tag the name of this file can be specified.
-# The default file is: searchdata.xml.
-# This tag requires that the tag SEARCHENGINE is set to YES.
-
-SEARCHDATA_FILE = searchdata.xml
-
-# When SERVER_BASED_SEARCH and EXTERNAL_SEARCH are both enabled the
-# EXTERNAL_SEARCH_ID tag can be used as an identifier for the project. This is
-# useful in combination with EXTRA_SEARCH_MAPPINGS to search through multiple
-# projects and redirect the results back to the right project.
-# This tag requires that the tag SEARCHENGINE is set to YES.
-
-EXTERNAL_SEARCH_ID =
-
-# The EXTRA_SEARCH_MAPPINGS tag can be used to enable searching through doxygen
-# projects other than the one defined by this configuration file, but that are
-# all added to the same external search index. Each project needs to have a
-# unique id set via EXTERNAL_SEARCH_ID. The search mapping then maps the id of
-# to a relative location where the documentation can be found. The format is:
-# EXTRA_SEARCH_MAPPINGS = tagname1=loc1 tagname2=loc2 ...
-# This tag requires that the tag SEARCHENGINE is set to YES.
-
-EXTRA_SEARCH_MAPPINGS =
-
-#---------------------------------------------------------------------------
-# Configuration options related to the LaTeX output
-#---------------------------------------------------------------------------
-
-# If the GENERATE_LATEX tag is set to YES, doxygen will generate LaTeX output.
-# The default value is: YES.
-
-GENERATE_LATEX = NO
-
-# The LATEX_OUTPUT tag is used to specify where the LaTeX docs will be put. If a
-# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
-# it.
-# The default directory is: latex.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-LATEX_OUTPUT = latex
-
-# The LATEX_CMD_NAME tag can be used to specify the LaTeX command name to be
-# invoked.
-#
-# Note that when not enabling USE_PDFLATEX the default is latex when enabling
-# USE_PDFLATEX the default is pdflatex and when in the later case latex is
-# chosen this is overwritten by pdflatex. For specific output languages the
-# default can have been set differently, this depends on the implementation of
-# the output language.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-LATEX_CMD_NAME =
-
-# The MAKEINDEX_CMD_NAME tag can be used to specify the command name to generate
-# index for LaTeX.
-# Note: This tag is used in the Makefile / make.bat.
-# See also: LATEX_MAKEINDEX_CMD for the part in the generated output file
-# (.tex).
-# The default file is: makeindex.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-MAKEINDEX_CMD_NAME = makeindex
-
-# The LATEX_MAKEINDEX_CMD tag can be used to specify the command name to
-# generate index for LaTeX. In case there is no backslash (\) as first character
-# it will be automatically added in the LaTeX code.
-# Note: This tag is used in the generated output file (.tex).
-# See also: MAKEINDEX_CMD_NAME for the part in the Makefile / make.bat.
-# The default value is: makeindex.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-LATEX_MAKEINDEX_CMD = makeindex
-
-# If the COMPACT_LATEX tag is set to YES, doxygen generates more compact LaTeX
-# documents. This may be useful for small projects and may help to save some
-# trees in general.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-COMPACT_LATEX = NO
-
-# The PAPER_TYPE tag can be used to set the paper type that is used by the
-# printer.
-# Possible values are: a4 (210 x 297 mm), letter (8.5 x 11 inches), legal (8.5 x
-# 14 inches) and executive (7.25 x 10.5 inches).
-# The default value is: a4.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-PAPER_TYPE = a4
-
-# The EXTRA_PACKAGES tag can be used to specify one or more LaTeX package names
-# that should be included in the LaTeX output. The package can be specified just
-# by its name or with the correct syntax as to be used with the LaTeX
-# \usepackage command. To get the times font for instance you can specify :
-# EXTRA_PACKAGES=times or EXTRA_PACKAGES={times}
-# To use the option intlimits with the amsmath package you can specify:
-# EXTRA_PACKAGES=[intlimits]{amsmath}
-# If left blank no extra packages will be included.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-EXTRA_PACKAGES =
-
-# The LATEX_HEADER tag can be used to specify a personal LaTeX header for the
-# generated LaTeX document. The header should contain everything until the first
-# chapter. If it is left blank doxygen will generate a standard header. See
-# section "Doxygen usage" for information on how to let doxygen write the
-# default header to a separate file.
-#
-# Note: Only use a user-defined header if you know what you are doing! The
-# following commands have a special meaning inside the header: $title,
-# $datetime, $date, $doxygenversion, $projectname, $projectnumber,
-# $projectbrief, $projectlogo. Doxygen will replace $title with the empty
-# string, for the replacement values of the other commands the user is referred
-# to HTML_HEADER.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-LATEX_HEADER =
-
-# The LATEX_FOOTER tag can be used to specify a personal LaTeX footer for the
-# generated LaTeX document. The footer should contain everything after the last
-# chapter. If it is left blank doxygen will generate a standard footer. See
-# LATEX_HEADER for more information on how to generate a default footer and what
-# special commands can be used inside the footer.
-#
-# Note: Only use a user-defined footer if you know what you are doing!
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-LATEX_FOOTER =
-
-# The LATEX_EXTRA_STYLESHEET tag can be used to specify additional user-defined
-# LaTeX style sheets that are included after the standard style sheets created
-# by doxygen. Using this option one can overrule certain style aspects. Doxygen
-# will copy the style sheet files to the output directory.
-# Note: The order of the extra style sheet files is of importance (e.g. the last
-# style sheet in the list overrules the setting of the previous ones in the
-# list).
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-LATEX_EXTRA_STYLESHEET =
-
-# The LATEX_EXTRA_FILES tag can be used to specify one or more extra images or
-# other source files which should be copied to the LATEX_OUTPUT output
-# directory. Note that the files will be copied as-is; there are no commands or
-# markers available.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-LATEX_EXTRA_FILES =
-
-# If the PDF_HYPERLINKS tag is set to YES, the LaTeX that is generated is
-# prepared for conversion to PDF (using ps2pdf or pdflatex). The PDF file will
-# contain links (just like the HTML output) instead of page references. This
-# makes the output suitable for online browsing using a PDF viewer.
-# The default value is: YES.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-PDF_HYPERLINKS = YES
-
-# If the USE_PDFLATEX tag is set to YES, doxygen will use the engine as
-# specified with LATEX_CMD_NAME to generate the PDF file directly from the LaTeX
-# files. Set this option to YES, to get a higher quality PDF documentation.
-#
-# See also section LATEX_CMD_NAME for selecting the engine.
-# The default value is: YES.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-USE_PDFLATEX = YES
-
-# If the LATEX_BATCHMODE tag is set to YES, doxygen will add the \batchmode
-# command to the generated LaTeX files. This will instruct LaTeX to keep running
-# if errors occur, instead of asking the user for help. This option is also used
-# when generating formulas in HTML.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-LATEX_BATCHMODE = NO
-
-# If the LATEX_HIDE_INDICES tag is set to YES then doxygen will not include the
-# index chapters (such as File Index, Compound Index, etc.) in the output.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-LATEX_HIDE_INDICES = NO
-
-# If the LATEX_SOURCE_CODE tag is set to YES then doxygen will include source
-# code with syntax highlighting in the LaTeX output.
-#
-# Note that which sources are shown also depends on other settings such as
-# SOURCE_BROWSER.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-LATEX_SOURCE_CODE = NO
-
-# The LATEX_BIB_STYLE tag can be used to specify the style to use for the
-# bibliography, e.g. plainnat, or ieeetr. See
-# https://en.wikipedia.org/wiki/BibTeX and \cite for more info.
-# The default value is: plain.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-LATEX_BIB_STYLE = plain
-
-# If the LATEX_TIMESTAMP tag is set to YES then the footer of each generated
-# page will contain the date and time when the page was generated. Setting this
-# to NO can help when comparing the output of multiple runs.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-LATEX_TIMESTAMP = NO
-
-# The LATEX_EMOJI_DIRECTORY tag is used to specify the (relative or absolute)
-# path from which the emoji images will be read. If a relative path is entered,
-# it will be relative to the LATEX_OUTPUT directory. If left blank the
-# LATEX_OUTPUT directory will be used.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-LATEX_EMOJI_DIRECTORY =
-
-#---------------------------------------------------------------------------
-# Configuration options related to the RTF output
-#---------------------------------------------------------------------------
-
-# If the GENERATE_RTF tag is set to YES, doxygen will generate RTF output. The
-# RTF output is optimized for Word 97 and may not look too pretty with other RTF
-# readers/editors.
-# The default value is: NO.
-
-GENERATE_RTF = NO
-
-# The RTF_OUTPUT tag is used to specify where the RTF docs will be put. If a
-# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
-# it.
-# The default directory is: rtf.
-# This tag requires that the tag GENERATE_RTF is set to YES.
-
-RTF_OUTPUT = rtf
-
-# If the COMPACT_RTF tag is set to YES, doxygen generates more compact RTF
-# documents. This may be useful for small projects and may help to save some
-# trees in general.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_RTF is set to YES.
-
-COMPACT_RTF = NO
-
-# If the RTF_HYPERLINKS tag is set to YES, the RTF that is generated will
-# contain hyperlink fields. The RTF file will contain links (just like the HTML
-# output) instead of page references. This makes the output suitable for online
-# browsing using Word or some other Word compatible readers that support those
-# fields.
-#
-# Note: WordPad (write) and others do not support links.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_RTF is set to YES.
-
-RTF_HYPERLINKS = NO
-
-# Load stylesheet definitions from file. Syntax is similar to doxygen's
-# configuration file, i.e. a series of assignments. You only have to provide
-# replacements, missing definitions are set to their default value.
-#
-# See also section "Doxygen usage" for information on how to generate the
-# default style sheet that doxygen normally uses.
-# This tag requires that the tag GENERATE_RTF is set to YES.
-
-RTF_STYLESHEET_FILE =
-
-# Set optional variables used in the generation of an RTF document. Syntax is
-# similar to doxygen's configuration file. A template extensions file can be
-# generated using doxygen -e rtf extensionFile.
-# This tag requires that the tag GENERATE_RTF is set to YES.
-
-RTF_EXTENSIONS_FILE =
-
-# If the RTF_SOURCE_CODE tag is set to YES then doxygen will include source code
-# with syntax highlighting in the RTF output.
-#
-# Note that which sources are shown also depends on other settings such as
-# SOURCE_BROWSER.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_RTF is set to YES.
-
-RTF_SOURCE_CODE = NO
-
-#---------------------------------------------------------------------------
-# Configuration options related to the man page output
-#---------------------------------------------------------------------------
-
-# If the GENERATE_MAN tag is set to YES, doxygen will generate man pages for
-# classes and files.
-# The default value is: NO.
-
-GENERATE_MAN = NO
-
-# The MAN_OUTPUT tag is used to specify where the man pages will be put. If a
-# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
-# it. A directory man3 will be created inside the directory specified by
-# MAN_OUTPUT.
-# The default directory is: man.
-# This tag requires that the tag GENERATE_MAN is set to YES.
-
-MAN_OUTPUT = man
-
-# The MAN_EXTENSION tag determines the extension that is added to the generated
-# man pages. In case the manual section does not start with a number, the number
-# 3 is prepended. The dot (.) at the beginning of the MAN_EXTENSION tag is
-# optional.
-# The default value is: .3.
-# This tag requires that the tag GENERATE_MAN is set to YES.
-
-MAN_EXTENSION = .3
-
-# The MAN_SUBDIR tag determines the name of the directory created within
-# MAN_OUTPUT in which the man pages are placed. If defaults to man followed by
-# MAN_EXTENSION with the initial . removed.
-# This tag requires that the tag GENERATE_MAN is set to YES.
-
-MAN_SUBDIR =
-
-# If the MAN_LINKS tag is set to YES and doxygen generates man output, then it
-# will generate one additional man file for each entity documented in the real
-# man page(s). These additional files only source the real man page, but without
-# them the man command would be unable to find the correct page.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_MAN is set to YES.
-
-MAN_LINKS = NO
-
-#---------------------------------------------------------------------------
-# Configuration options related to the XML output
-#---------------------------------------------------------------------------
-
-# If the GENERATE_XML tag is set to YES, doxygen will generate an XML file that
-# captures the structure of the code including all documentation.
-# The default value is: NO.
-
-GENERATE_XML = YES
-
-# The XML_OUTPUT tag is used to specify where the XML pages will be put. If a
-# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
-# it.
-# The default directory is: xml.
-# This tag requires that the tag GENERATE_XML is set to YES.
-
-XML_OUTPUT = xml
-
-# If the XML_PROGRAMLISTING tag is set to YES, doxygen will dump the program
-# listings (including syntax highlighting and cross-referencing information) to
-# the XML output. Note that enabling this will significantly increase the size
-# of the XML output.
-# The default value is: YES.
-# This tag requires that the tag GENERATE_XML is set to YES.
-
-XML_PROGRAMLISTING = YES
-
-# If the XML_NS_MEMB_FILE_SCOPE tag is set to YES, doxygen will include
-# namespace members in file scope as well, matching the HTML output.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_XML is set to YES.
-
-XML_NS_MEMB_FILE_SCOPE = NO
-
-#---------------------------------------------------------------------------
-# Configuration options related to the DOCBOOK output
-#---------------------------------------------------------------------------
-
-# If the GENERATE_DOCBOOK tag is set to YES, doxygen will generate Docbook files
-# that can be used to generate PDF.
-# The default value is: NO.
-
-GENERATE_DOCBOOK = NO
-
-# The DOCBOOK_OUTPUT tag is used to specify where the Docbook pages will be put.
-# If a relative path is entered the value of OUTPUT_DIRECTORY will be put in
-# front of it.
-# The default directory is: docbook.
-# This tag requires that the tag GENERATE_DOCBOOK is set to YES.
-
-DOCBOOK_OUTPUT = docbook
-
-# If the DOCBOOK_PROGRAMLISTING tag is set to YES, doxygen will include the
-# program listings (including syntax highlighting and cross-referencing
-# information) to the DOCBOOK output. Note that enabling this will significantly
-# increase the size of the DOCBOOK output.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_DOCBOOK is set to YES.
-
-DOCBOOK_PROGRAMLISTING = NO
-
-#---------------------------------------------------------------------------
-# Configuration options for the AutoGen Definitions output
-#---------------------------------------------------------------------------
-
-# If the GENERATE_AUTOGEN_DEF tag is set to YES, doxygen will generate an
-# AutoGen Definitions (see http://autogen.sourceforge.net/) file that captures
-# the structure of the code including all documentation. Note that this feature
-# is still experimental and incomplete at the moment.
-# The default value is: NO.
-
-GENERATE_AUTOGEN_DEF = NO
-
-#---------------------------------------------------------------------------
-# Configuration options related to the Perl module output
-#---------------------------------------------------------------------------
-
-# If the GENERATE_PERLMOD tag is set to YES, doxygen will generate a Perl module
-# file that captures the structure of the code including all documentation.
-#
-# Note that this feature is still experimental and incomplete at the moment.
-# The default value is: NO.
-
-GENERATE_PERLMOD = NO
-
-# If the PERLMOD_LATEX tag is set to YES, doxygen will generate the necessary
-# Makefile rules, Perl scripts and LaTeX code to be able to generate PDF and DVI
-# output from the Perl module output.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_PERLMOD is set to YES.
-
-PERLMOD_LATEX = NO
-
-# If the PERLMOD_PRETTY tag is set to YES, the Perl module output will be nicely
-# formatted so it can be parsed by a human reader. This is useful if you want to
-# understand what is going on. On the other hand, if this tag is set to NO, the
-# size of the Perl module output will be much smaller and Perl will parse it
-# just the same.
-# The default value is: YES.
-# This tag requires that the tag GENERATE_PERLMOD is set to YES.
-
-PERLMOD_PRETTY = YES
-
-# The names of the make variables in the generated doxyrules.make file are
-# prefixed with the string contained in PERLMOD_MAKEVAR_PREFIX. This is useful
-# so different doxyrules.make files included by the same Makefile don't
-# overwrite each other's variables.
-# This tag requires that the tag GENERATE_PERLMOD is set to YES.
-
-PERLMOD_MAKEVAR_PREFIX =
-
-#---------------------------------------------------------------------------
-# Configuration options related to the preprocessor
-#---------------------------------------------------------------------------
-
-# If the ENABLE_PREPROCESSING tag is set to YES, doxygen will evaluate all
-# C-preprocessor directives found in the sources and include files.
-# The default value is: YES.
-
-ENABLE_PREPROCESSING = YES
-
-# If the MACRO_EXPANSION tag is set to YES, doxygen will expand all macro names
-# in the source code. If set to NO, only conditional compilation will be
-# performed. Macro expansion can be done in a controlled way by setting
-# EXPAND_ONLY_PREDEF to YES.
-# The default value is: NO.
-# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
-
-MACRO_EXPANSION = NO
-
-# If the EXPAND_ONLY_PREDEF and MACRO_EXPANSION tags are both set to YES then
-# the macro expansion is limited to the macros specified with the PREDEFINED and
-# EXPAND_AS_DEFINED tags.
-# The default value is: NO.
-# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
-
-EXPAND_ONLY_PREDEF = NO
-
-# If the SEARCH_INCLUDES tag is set to YES, the include files in the
-# INCLUDE_PATH will be searched if a #include is found.
-# The default value is: YES.
-# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
-
-SEARCH_INCLUDES = YES
-
-# The INCLUDE_PATH tag can be used to specify one or more directories that
-# contain include files that are not input files but should be processed by the
-# preprocessor.
-# This tag requires that the tag SEARCH_INCLUDES is set to YES.
-
-INCLUDE_PATH =
-
-# You can use the INCLUDE_FILE_PATTERNS tag to specify one or more wildcard
-# patterns (like *.h and *.hpp) to filter out the header-files in the
-# directories. If left blank, the patterns specified with FILE_PATTERNS will be
-# used.
-# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
-
-INCLUDE_FILE_PATTERNS =
-
-# The PREDEFINED tag can be used to specify one or more macro names that are
-# defined before the preprocessor is started (similar to the -D option of e.g.
-# gcc). The argument of the tag is a list of macros of the form: name or
-# name=definition (no spaces). If the definition and the "=" are omitted, "=1"
-# is assumed. To prevent a macro definition from being undefined via #undef or
-# recursively expanded use the := operator instead of the = operator.
-# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
-
-PREDEFINED = ON_TILE(x)
-
-# If the MACRO_EXPANSION and EXPAND_ONLY_PREDEF tags are set to YES then this
-# tag can be used to specify a list of macro names that should be expanded. The
-# macro definition that is found in the sources will be used. Use the PREDEFINED
-# tag if you want to use a different macro definition that overrules the
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-# generated by dot. For an explanation of the image formats see the section
-# output formats in the documentation of the dot tool (Graphviz (see:
-# http://www.graphviz.org/)).
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-# command).
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-# command).
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-# path where java can find the plantuml.jar file. If left blank, it is assumed
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-# the !include statement in a plantuml block.
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-# that will be shown in the graph. If the number of nodes in a graph becomes
-# larger than this value, doxygen will truncate the graph, which is visualized
-# by representing a node as a red box. Note that doxygen if the number of direct
-# children of the root node in a graph is already larger than
-# DOT_GRAPH_MAX_NODES then the graph will not be shown at all. Also note that
-# the size of a graph can be further restricted by MAX_DOT_GRAPH_DEPTH.
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-# This tag requires that the tag HAVE_DOT is set to YES.
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-# generated by dot. A depth value of 3 means that only nodes reachable from the
-# root by following a path via at most 3 edges will be shown. Nodes that lay
-# further from the root node will be omitted. Note that setting this option to 1
-# or 2 may greatly reduce the computation time needed for large code bases. Also
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-# DOT_GRAPH_MAX_NODES. Using a depth of 0 means no depth restriction.
-# Minimum value: 0, maximum value: 1000, default value: 0.
-# This tag requires that the tag HAVE_DOT is set to YES.
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-# background. This is disabled by default, because dot on Windows does not seem
-# to support this out of the box.
-#
-# Warning: Depending on the platform used, enabling this option may lead to
-# badly anti-aliased labels on the edges of a graph (i.e. they become hard to
-# read).
-# The default value is: NO.
-# This tag requires that the tag HAVE_DOT is set to YES.
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-
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-# files in one run (i.e. multiple -o and -T options on the command line). This
-# makes dot run faster, but since only newer versions of dot (>1.8.10) support
-# this, this feature is disabled by default.
-# The default value is: NO.
-# This tag requires that the tag HAVE_DOT is set to YES.
-
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-# explaining the meaning of the various boxes and arrows in the dot generated
-# graphs.
-# The default value is: YES.
-# This tag requires that the tag HAVE_DOT is set to YES.
-
-GENERATE_LEGEND = YES
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-# files that are used to generate the various graphs.
-#
-# Note: This setting is not only used for dot files but also for msc and
-# plantuml temporary files.
-# The default value is: YES.
-
-DOT_CLEANUP = YES
diff --git a/documents/Makefile b/documents/Makefile
deleted file mode 100644
index d66d78b0a..000000000
--- a/documents/Makefile
+++ /dev/null
@@ -1,31 +0,0 @@
-# Makefile to build the Sphinx and Doxygen documentation
-# for the AIoT SDK
-#
-
-DOXYGEN_OUTPUT_DIR=doxygen/xml
-BREATHE_PROJECT=AIoTSDK
-
-# You can set these variables from the command line, and also
-# from the environment for the first two.
-SPHINXOPTS ?= -Dbreathe_projects.$(BREATHE_PROJECT)=$(DOXYGEN_OUTPUT_DIR)
-SPHINXBUILD ?= sphinx-build
-SOURCEDIR = .
-BUILDDIR = _build
-
-# Put it first so that "make" without argument is like "make help".
-help:
- @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
-
-.PHONY: help Makefile Doxyfile
-
-$(DOXYGEN_OUTPUT_DIR)/index.xml: Doxyfile
- doxygen
-
-# Catch-all target: route all unknown targets to Sphinx using the new
-# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS).
-%: Makefile $(DOXYGEN_OUTPUT_DIR)/index.xml
- $(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
-
-livehtml:
- sphinx-autobuild --host 0.0.0.0 "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
-
diff --git a/documents/README.rst b/documents/README.rst
deleted file mode 100644
index b1350ef2c..000000000
--- a/documents/README.rst
+++ /dev/null
@@ -1,61 +0,0 @@
-Building Documentation
-======================
-
-Prerequisites
--------------
-
-Doxygen
-^^^^^^^^
-
-Install `Doxygen `_.
-
-Installation will depend on your operating system.
-
-On Debian based systems run:
-
-.. code-block:: console
-
- $ sudo apt install doxygen
-
-On Fedora run:
-
-.. code-block:: console
-
- $ sudo dnf install doxygen
-
-
-Python Modules
-^^^^^^^^^^^^^^
-
-Install `Sphinx `_, Copyright (C) 2017 ChaN, licensed under a `BSD-style license `__.
-
-FreeRTOS, Copyright (c) 2017 Amazon.com, Inc., licensed under the `MIT License `__.
-
-HTTP Parser, Copyright (c) Joyent, Inc. and other Node contributors, licensed under the `MIT license `__.
-
-JSMN JSON Parser, Copyright (c) 2010 Serge A. Zaitsev, licensed under the `MIT license `__.
-
-Mbed TLS library, Copyright (c) 2006-2018 ARM Limited, licensed under the `Apache License 2.0 `__.
-
-Paho MQTT C/C++ client for Embedded platforms, Copyright (c) 2013 Eclipse Foundation, licensed under the `Eclipse Public License and Eclipse Distribution License `__.
-
-TensorFlow, Copyright (c) 2020 The TensorFlow Authors, licensed under the `Apache License `__.
-
-TinyUSB, Copyright (c) 2018 hathach (tinyusb.org), licensed under the `MIT license `__.
diff --git a/documents/images/sdk_logo.png b/documents/images/sdk_logo.png
deleted file mode 100644
index ae806af6d..000000000
Binary files a/documents/images/sdk_logo.png and /dev/null differ
diff --git a/documents/index.rst b/documents/index.rst
deleted file mode 100644
index b30bb6a88..000000000
--- a/documents/index.rst
+++ /dev/null
@@ -1,23 +0,0 @@
-.. _aiot_sdk_user_guide:
-
-###################
-AIoT SDK User Guide
-###################
-
-This is the user guide for the `XMOS AIoT Software Development Kit `_.
-
-.. toctree::
- :maxdepth: 2
-
- quick_start/index
- tutorials/index
- reference/index
- copyright
-
-.. only:: html
-
- ******************
- Indices and tables
- ******************
-
- * :ref:`genindex`
diff --git a/documents/quick_start/getting-started.rst b/documents/quick_start/getting-started.rst
deleted file mode 100644
index a443d4b2c..000000000
--- a/documents/quick_start/getting-started.rst
+++ /dev/null
@@ -1,80 +0,0 @@
-###############
-Getting Started
-###############
-
-********
-Overview
-********
-
-The AIoT is comprised the following components:
-
-- AI Toolchain Extensions - Scripts, tools and libraries to convert TensorFlow Lite for Microcontroller models to a format targetting accelerated operations on the xcore.ai platform.
-- FreeRTOS - Libraries to support FreeRTOS operation on xcore.ai.
-- Examples - Examples showing a variety of operations based on bare-metal and FreeRTOS operation.
-- Documentation - Getting started guides and example build and execution instructions.
-
-The AIoT SDK is designed to be used in conjunction with the xcore-ai Explorer board. The example applications compile targeting this board. Further information about the Explorer board, and xcore.ai device are available to authorised parties on www.xmos.ai. Future releases will include other xcore.ai hardware platforms, targeting specific use case applications. The following sections detail required tools, describe the example applications, upcoming features and how to get support and provide feedback.
-
- .. _sdk-installation-label:
-
-************
-Installation
-************
-
-System Requirements
-===================
-
-Mke sure your system meets the minumum :ref:`system requirements ` and that you have installed all necessary :ref:`prerequisites `.
-
-Cloning the SDK
-===============
-
-Clone the AIoT SDK repository with the following commands:
-
-.. code-block:: console
-
- $ git clone https://github.com/xmos/aiot_sdk.git
- $ cd aiot_sdk
- $ git submodule update --init --recursive modules
-
-Set up Environment Variable
-===========================
-
-.. code-block:: console
-
- $ export XMOS_AIOT_SDK_PATH=/aiot_sdk
-
-.. note:: You can also add this export command to your ``.profile`` or ``.bash_profile`` script. This way the environment variable will be set every time a new terminal window is launched.
-
-.. _sdk-setup-virtual-environment-label:
-
-Set up Virtual Environment
-==========================
-
-To install, follow these steps:
-
-**Step 1. Create a Conda environment**
-
-.. code-block:: console
-
- $ conda create --prefix xmos_env python=3.8
-
-.. _sdk-activate-virtual-environment-label:
-
-Activate the environment
-
-.. code-block:: console
-
- $ conda activate xmos_env
-
-.. note:: You may need to specify the fully-qualified path to your environment.
-
-.. note:: You can also add an alias to your ``.profile`` or ``.bash_profile`` script to make activating the environment easier. Add a line similar to ``alias xmos_env='conda activate xmos_env'``. The next time you launch a console, the command ``xmos_env`` will activate the environment.
-
-**Step 2. Install**
-
-The following command will install all libraries and Python modules.
-
-.. code-block:: console
-
- $ ./install.sh
diff --git a/documents/quick_start/index.rst b/documents/quick_start/index.rst
deleted file mode 100644
index f4ffa5680..000000000
--- a/documents/quick_start/index.rst
+++ /dev/null
@@ -1,9 +0,0 @@
-###########
-Quick start
-###########
-
-.. toctree::
- :maxdepth: 2
-
- system-requirements
- getting-started
diff --git a/documents/reference/ai/ai_framework_user_guide.rst b/documents/reference/ai/ai_framework_user_guide.rst
deleted file mode 100644
index bd945fdd7..000000000
--- a/documents/reference/ai/ai_framework_user_guide.rst
+++ /dev/null
@@ -1,121 +0,0 @@
-.. _ai_framework_user_guide:
-
-#######################
-AI Framework User Guide
-#######################
-
-************
-Introduction
-************
-
-After you have :ref:`optimized your model for XCORE `, the final step in our optimization workflow is to deploy your model in our port of the TensorFlow Lite for Microcontrollers runtime. The TensorFlow Lite for Microcontrollers project provides the tools necessary to encapsulate the model and the runtime in source files that can be linked with the rest of your embedded project, compiled using our tools, and deployed on the hardware or tested in our cycle-accurate simulator. To execute the optimized graph, our runtime relies on a library of fine-tuned neural network kernels that take full advantage of the xcore.ai VPU. This library is also self-contained, so you can implement the model execution yourself if the computation constraints do not allow the overhead associated with the runtime. This overhead can be anything between 20KB and 160KB, depending on how many and which kernels your model uses, but decreases continuously as we improve our implementation of the runtime and the kernels.
-
-Model Deployment
-================
-
-Preparing your optimized model for inference on the xcore.ai device involves generating a model runner.
-
-To generate a model runner, we recommend you use the ``generate_model_runner.py`` utility provided. This script is located in the AIoT SDK under ``tools/generate``. An example command would look like:
-
-.. code-block:: console
-
- $ generate_model_runner.py --name
-
-Of course, you will need to replace the details inside the brackets with values you prefer to use in your application firmware.
-
-This command will generate four (or more) source code files, including a C API that you can integrate into your application firmware to run inference using the model. Also generated is a C source file that contains the TensorFlow Lite model as a character array. This model can be stored in SRAM or extracted to be placed in flash. See :ref:`generate_model_runner.py manpage ` for additional information.
-
-The code block before demonstrates the steps needed to integrate the model runner into your applications.
-
-.. code-block:: c
-
- // declare the model runner tensor arena memory buffer for
- // scratch and activation buffer storage
- #define TENSOR_ARENA_SIZE
- static unsigned char tensor_arena[TENSOR_ARENA_SIZE];
-
- // declare the model runner context
- static model_runner_t model_runner_ctx_s;
- static model_runner_t *model_runner_ctx = &model_runner_ctx_s;
-
- // declare some useful variables
- static int8_t *input_buffer;
- static size_t input_size;
- static int8_t *output_buffer;
-
- // initialize & create a model runner context
- model_runner_init(tensor_arena, TENSOR_ARENA_SIZE);
- model_runner_create(model_runner_ctx, cifar10_model_data);
-
- // set some useful variables
- input_buffer = model_runner_get_input(model_runner_ctx);
- input_size = model_runner_get_input_size(model_runner_ctx);
- output_buffer = model_runner_get_output(model_runner_ctx);
-
- // set the input_buffer with your input values
- // ...
-
- // run inference
- model_runner_invoke(model_runner_ctx);
-
- // do something with the output_buffer
- // ...
-
-The ``examples/bare-metal/cifar10`` example is a great place to look at how to generate a model runner. Of course, your application code will vary, but your code for integrating the TensorFlow Lite Micro runtime will be very similar the code in this example located in the ``examples/bare-metal/cifar10/model_runner/src/`` folder.
-
-Converting flatbuffer to source file
-------------------------------------
-
-If you choose not to use ``generate_model_runner.py`` or you have already utililyzed ``generate_model_runner.py`` but the model has been modified slightly, you will need to convert your model to source code. We recommend you use the ``convert_tflite_to_c_source.py`` utility provided. This script is located in the AIoT SDK under ``tools/generate``. An example command would look like:
-
-.. code-block:: console
-
- $ python convert_tflite_to_c_source.py --input --header --source --variable-name --include-guard
-
-You will need to replace the details inside the brackets with values you prefer to use in your application firmware. See the README files of the example firmware applications for instructions on how those models are converted to source code. See :ref:`convert_tflite_to_c_source.py manpage ` for additional information.
-
-Manual deployment
------------------
-
-To deploy manually, you need to write C++ code to setup the TensorFlow Lite for Microcontrollers runtime and operator registration. This is very similar to the code snippets given in the TensorFlow Lite for Microcontrollers `Getting Started Guide `_ or the model runners generated by ``generate_model_runner.py``. You will want to customize the declaration and setup of the ``tflite::MicroMutableOpResolver`` by registering the necessary operators. The following code snippet demonstrates:
-
-.. code-block:: cpp
-
- static tflite::MicroMutableOpResolver<7> resolver;
- resolver.AddSoftmax();
- resolver.AddPad();
- resolver.AddCustom(tflite::ops::micro::xcore::MaxPool2D_OpCode,
- tflite::ops::micro::xcore::Register_MaxPool2D());
- resolver.AddCustom(tflite::ops::micro::xcore::FullyConnected_8_OpCode,
- tflite::ops::micro::xcore::Register_FullyConnected_8());
- resolver.AddCustom(tflite::ops::micro::xcore::Conv2D_Shallow_OpCode,
- tflite::ops::micro::xcore::Register_Conv2D_Shallow());
- resolver.AddCustom(tflite::ops::micro::xcore::Conv2D_Deep_OpCode,
- tflite::ops::micro::xcore::Register_Conv2D_Deep());
-
-You can add as many supported operators as you would like to the ``tflite::MicroMutableOpResolver`` with the ``Add*`` or ``AddCustom`` methods. However, adding unused operators adds code to the compiled firmware. We recommend you add only the operators used in your model. You can determine the used operators by looking at the **Operator Codes** section of the output from ``tflite_visualize.py``.
-
-The supported ``Add*`` methods for builtin operators can be seen in the file `all_ops_resolver.cc `_
-
-The code snippet below demostrates examples for calls to ``AddCustom`` for the xcore.ai custom operators. The ``Add*`` methods can be called in any order. The operators do not need to be added in the order they appear in the model.
-
-.. code-block:: cpp
-
- resolver.AddCustom(tflite::ops::micro::xcore::MaxPool2D_OpCode,
- tflite::ops::micro::xcore::Register_MaxPool2D());
- resolver.AddCustom(tflite::ops::micro::xcore::AvgPool2D_OpCode,
- tflite::ops::micro::xcore::Register_AvgPool2D());
- resolver.AddCustom(tflite::ops::micro::xcore::AvgPool2D_Global_OpCode,
- tflite::ops::micro::xcore::Register_AvgPool2D_Global());
- resolver.AddCustom(tflite::ops::micro::xcore::FullyConnected_8_OpCode,
- tflite::ops::micro::xcore::Register_FullyConnected_8());
- resolver.AddCustom(tflite::ops::micro::xcore::Conv2D_Shallow_OpCode,
- tflite::ops::micro::xcore::Register_Conv2D_Shallow());
- resolver.AddCustom(tflite::ops::micro::xcore::Conv2D_Deep_OpCode,
- tflite::ops::micro::xcore::Register_Conv2D_Deep());
- resolver.AddCustom(tflite::ops::micro::xcore::Conv2D_1x1_OpCode,
- tflite::ops::micro::xcore::Register_Conv2D_1x1());
- resolver.AddCustom(tflite::ops::micro::xcore::Conv2D_Depthwise_OpCode,
- tflite::ops::micro::xcore::Register_Conv2D_Depthwise());
- resolver.AddCustom(tflite::ops::micro::xcore::Lookup_8_OpCode,
- tflite::ops::micro::xcore::Register_Lookup_8());
diff --git a/documents/reference/ai/ai_toolchain_extensions_user_guide.rst b/documents/reference/ai/ai_toolchain_extensions_user_guide.rst
deleted file mode 100644
index 56688ab29..000000000
--- a/documents/reference/ai/ai_toolchain_extensions_user_guide.rst
+++ /dev/null
@@ -1,102 +0,0 @@
-.. _ai_toolchain_extensions_user_guide:
-
-##################################
-AI Toolchain Extensions User Guide
-##################################
-
-************
-Introduction
-************
-
-XCORE is a family of cross-over processors for the IoT and AIoT, helping you to get to the market fast, with products that stand out from the competition. With XCORE, multiple cores are available for the execution of real-time machine learnig inferencing, decisioning at the edge, signal processing, control and communication - all wrapped up in a single chip.
-
-At the heart of the machine learning inference capabilities lies the vector processing unit (VPU). To keep the system simple and the die area small, while retaining the hard-real-time guarantees of XCORE processors, we decided to integrate the VPU closely with the rest of the ALU. This allows for reduced latency and increased throughput since there is no need to copy memory to/from the accelerator’s memory. Moreover, the VPU breaks with some traditions of traditional RISC architectures.
-
-AI Toolchain Extensions
-=======================
-
-We have developed a Python module that extends the xTIMEcomposer toolchain and allows model designers and embedded software developers to optimize models for the xcore.ai processor.
-
-The figure below illustrates our neural network deployment workflow, starting with a trained model (with floating point weights and activations) on the left. Our workflow currently targets only `TensorFlow `_. You can do this manually, but we provide you with a helper function that takes a tf.keras Model object and a representative dataset for quantization, then configures and calls the converter/quantizer with the appropriate settings for xcore.ai.
-
-.. figure:: model_deployment_workflow.png
- :width: 1024px
- :align: center
- :height: 445px
- :figclass: align-center
-
- Neural network deployment workflow
-
-Once your model is quantized, the next step is to use our converter to optimize the computational graph for our platform. The xcore.ai optimizer/converter consumes the model in the TensorFlow Lite `flatbuffer `_ operators that have been optimized for xcore.ai. Depending on the parameters of the operator, the optimized implementation will be 10-50 times faster than the reference implementation.
-
-- ADD
-- AVERAGE_POOL_2D
-- CONV_2D
-- DEPTHWISE_CONV_2D
-- FULLY_CONNECTED
-- LOGISTIC
-- MAX_POOL_2D
-- MEAN
-- RELU
-- RELU6
-
-.. note:: Additional operators will be optimized in future releases.
-
-.. note:: TensorFlow Lite for Microcontrollers currently supports a limited subset of TensorFlow operations, which impacts the model architectures that it is possible to run. The TensorFlow community is actively working on expanding operation support. The supported operations can be seen in the file `all_ops_resolver.cc `_
-
-It is worth noting that our optimizer is a standalone executable with the input and output model in the same format. This means that you can use it even if you have builtin or custom operators in your model. Our optimizer was designed to not alter unknown custom operators by default but be extensible if implementing optimizations for such operators is desired.
-
-*********************
-Optimizing Your Model
-*********************
-
-If you setup a virtual environment as suggested in the :ref:`Getting Started ` guide, remember to :ref:`activate ` it before proceeding.
-
-We've provided two paths for you to optimize your model for xcore.ai.
-
-The **recommended** option is to use Python or a Jupyter Notebook. We've provided an `example Notebook `_ where we demonstrate how to load a TensorFlow CNN model trained using the `CIFAR-10 `_ dataset, convert it to TensorFlow Lite, then optimize it to be deployed to xcore.ai. This notebook requires the installation of some additional Python packages
-
-.. code-block:: console
-
- $ pip install jupyter
-
-Command-line Python scripts are also provided for those that prefer not to write your own Python scripts or use Jupyter Notebooks.
-
-Model Optimization
-==================
-
-The ``xformer.py`` script is used to transform a quantized TensorFlow Lite model to a format optimized for xcore.ai.
-
-Run the following command to transform your model into an optimized version:
-
-.. code-block:: console
-
- $ xformer.py
-
-``xformer.py`` has several helpful command-line arguments. Read more on the :ref:`xformer.py manpage `.
-
-Model Visualization
-===================
-
-For visualizing the model graph, we recommend using `Netron
-
-Open ```` in your browser to inspect the model.
-
-Model Deployment
-================
-
-The :ref:`AI Deployment Framework User Guide ` provides information on deploying your optimized model to XCORE.
diff --git a/documents/reference/ai/model_deployment_workflow.png b/documents/reference/ai/model_deployment_workflow.png
deleted file mode 100644
index 4687b3ff3..000000000
Binary files a/documents/reference/ai/model_deployment_workflow.png and /dev/null differ
diff --git a/documents/reference/cmd_line_tools/generate_model_runner.rst b/documents/reference/cmd_line_tools/generate_model_runner.rst
deleted file mode 100644
index 506fb43ce..000000000
--- a/documents/reference/cmd_line_tools/generate_model_runner.rst
+++ /dev/null
@@ -1,59 +0,0 @@
- .. _generate_model_runner-manpage:
-
-.. program:: generate_model_runner.py
-
-########################
-generate_model_runner.py
-########################
-
-********
-Synopsis
-********
-
-.. code-block::
-
- generate_model_runner.py [-h] --input INPUT [--output OUTPUT]
- [--analyze] [--name NAME]
-
-***********
-Description
-***********
-
-The ``generate_model_runner.py`` script is used to generate a model runner project for given .tflite model file(s).
-
-Usage
-=====
-
-.. code-block:: console
-
- $ generate_model_runner.py --input --output --name
-
-*******
-Options
-*******
-
-
-Overall Options
-===============
-
-.. option:: --input
-
- Full filepath of the input TensorFlow Lite file.
- Multiple entries are supported.
-
-.. option:: --output
-
- Full filepath of the output directory where source files will be generated.
-
-.. option:: --name
-
- Name to use for the model runner.
-
-.. option:: --analyze
-
- Analyze the output model. A report is printed showing the
- runtime memory footprint of the model.
-
-.. option:: -h, --help
-
- Print help message.
diff --git a/documents/reference/cmd_line_tools/index.rst b/documents/reference/cmd_line_tools/index.rst
deleted file mode 100644
index fd9018161..000000000
--- a/documents/reference/cmd_line_tools/index.rst
+++ /dev/null
@@ -1,12 +0,0 @@
-##################
-Command line tools
-##################
-
-This section describes the individual command line tools in a "man page" style.
-
-.. toctree::
- :maxdepth: 2
-
- xformer
- generate_model_runner
- convert_tflite_to_c_source
diff --git a/documents/reference/cmd_line_tools/xformer.rst b/documents/reference/cmd_line_tools/xformer.rst
deleted file mode 100644
index a22eb5875..000000000
--- a/documents/reference/cmd_line_tools/xformer.rst
+++ /dev/null
@@ -1,87 +0,0 @@
-.. _xformer-manpage:
-
-.. program:: xformer.py
-
-##########
-xformer.py
-##########
-
-********
-Synopsis
-********
-
-.. code-block::
-
- xformer.py [-h] [-v] [--minify] [-par NUM_THREADS]
- [--intermediates_path INTERMEDIATES_PATH] [--analyze] [--version]
- tflite_input tflite_output
-
-***********
-Description
-***********
-
-The ``xformer.py`` script is used to transform a quantized TensorFlow Lite model to a format optimized for xcore.ai.
-
-Usage
-=====
-
-
-.. code-block:: console
-
- $ xformer.py
-
-*******
-Options
-*******
-
-Positional Arguments
-====================
-
-.. option:: tflite_input
-
- Input .tflite file.
-
-
-.. option:: tflite_output
-
- Output .tflite file.
-
-
-Overall Options
-===============
-
-.. option:: -v, --verbose
-
- Set verbosity level.
-
- ``-v`` : summary info of mutations;
-
- ``-vv``: detailed mutation and debug info.
-
-.. option:: --minify
-
- Make the model smaller at the expense of readability.
-
-.. option:: -par, --num_threads
-
- Number of parallel threads for xcore.ai optimization.
-
-.. option:: --intermediates_path
-
- Path to directory for storing intermediate models. If
- not given intermediate models will not be saved. If
- path doesn't exists, it will be created. Contents may
- be overwritten
-
-.. option:: --analyze
-
- Analyze the output model. A report is printed showing
- the runtime memory footprint of the model.
-
-.. option:: --version
-
- Print version string.
-
-.. option:: -h, --help
-
- Print help message.
diff --git a/documents/reference/contributing.rst b/documents/reference/contributing.rst
deleted file mode 100644
index 8cb3146fe..000000000
--- a/documents/reference/contributing.rst
+++ /dev/null
@@ -1 +0,0 @@
-.. include:: ../../CONTRIBUTING.rst
\ No newline at end of file
diff --git a/documents/reference/index.rst b/documents/reference/index.rst
deleted file mode 100644
index 3a2b71aea..000000000
--- a/documents/reference/index.rst
+++ /dev/null
@@ -1,13 +0,0 @@
-##########
-References
-##########
-
-.. toctree::
- :maxdepth: 2
-
- ai/ai_toolchain_extensions_user_guide
- ai/ai_framework_user_guide
- cmd_line_tools/index
- libraries/index
- rtos_drivers/index
- contributing
diff --git a/documents/reference/libraries/index.rst b/documents/reference/libraries/index.rst
deleted file mode 100644
index 7e034558f..000000000
--- a/documents/reference/libraries/index.rst
+++ /dev/null
@@ -1,17 +0,0 @@
-#########
-Libraries
-#########
-
-***
-I/O
-***
-
-*********
-Optimized
-*********
-
-.. toctree::
- :maxdepth: 1
-
- optimized/lib_xs3_math
-
diff --git a/documents/reference/libraries/optimized/lib_xs3_math.rst b/documents/reference/libraries/optimized/lib_xs3_math.rst
deleted file mode 100644
index 3c1ec0baf..000000000
--- a/documents/reference/libraries/optimized/lib_xs3_math.rst
+++ /dev/null
@@ -1 +0,0 @@
-.. include:: ../../../../modules/lib_xs3_math/README.rst
diff --git a/documents/reference/rtos_drivers/gpio.rst b/documents/reference/rtos_drivers/gpio.rst
deleted file mode 100644
index 8a7f807a5..000000000
--- a/documents/reference/rtos_drivers/gpio.rst
+++ /dev/null
@@ -1,32 +0,0 @@
-################
-GPIO RTOS Driver
-################
-
-This driver can be used to operate GPIO ports on XCore in an RTOS application.
-
-******************
-Initialization API
-******************
-The following structures and functions are used to initialize and start a GPIO driver instance.
-
-.. doxygengroup:: rtos_gpio_driver
- :content-only:
-
-********
-Core API
-********
-
-The following functions are the core GPIO driver functions that are used after it has been initialized and started.
-
-.. doxygengroup:: rtos_gpio_driver_core
- :content-only:
-
-**********************
-RPC Initialization API
-**********************
-
-The following functions may be used to share a GPIO driver instance with other XCore tiles. Tiles that the
-driver instance is shared with may call any of the core functions listed above.
-
-.. doxygengroup:: rtos_gpio_driver_rpc
- :content-only:
diff --git a/documents/reference/rtos_drivers/i2c.rst b/documents/reference/rtos_drivers/i2c.rst
deleted file mode 100644
index 3052f6cd9..000000000
--- a/documents/reference/rtos_drivers/i2c.rst
+++ /dev/null
@@ -1,35 +0,0 @@
-.. |I2C| replace:: I\ :sup:`2`\ C
-
-########################
-|I2C| Master RTOS Driver
-########################
-
-This driver can be used to instantiate and control an |I2C| master I/O interface on XCore in an RTOS application.
-
-******************
-Initialization API
-******************
-The following structures and functions are used to initialize and start an |I2C| driver instance.
-
-.. doxygengroup:: rtos_i2c_master_driver
- :content-only:
-
-********
-Core API
-********
-
-The following functions are the core |I2C| driver functions that are used after it has been initialized and started.
-
-.. doxygengroup:: rtos_i2c_master_driver_core
- :content-only:
-
-**********************
-RPC Initialization API
-**********************
-
-The following functions may be used to share a |I2C| driver instance with other XCore tiles. Tiles that the
-driver instance is shared with may call any of the core functions listed above.
-
-.. doxygengroup:: rtos_i2c_master_driver_rpc
- :content-only:
-
diff --git a/documents/reference/rtos_drivers/i2s.rst b/documents/reference/rtos_drivers/i2s.rst
deleted file mode 100644
index 5457fe99c..000000000
--- a/documents/reference/rtos_drivers/i2s.rst
+++ /dev/null
@@ -1,34 +0,0 @@
-.. |I2S| replace:: I\ :sup:`2`\ S
-
-########################
-|I2S| Master RTOS Driver
-########################
-
-This driver can be used to instantiate and control an |I2S| master I/O interface on XCore in an RTOS application.
-
-******************
-Initialization API
-******************
-The following structures and functions are used to initialize and start an |I2S| driver instance.
-
-.. doxygengroup:: rtos_i2s_master_driver
- :content-only:
-
-********
-Core API
-********
-
-The following functions are the core |I2S| driver functions that are used after it has been initialized and started.
-
-.. doxygengroup:: rtos_i2s_master_driver_core
- :content-only:
-
-**********************
-RPC Initialization API
-**********************
-
-The following functions may be used to share a |I2S| driver instance with other XCore tiles. Tiles that the
-driver instance is shared with may call any of the core functions listed above.
-
-.. doxygengroup:: rtos_i2s_master_driver_rpc
- :content-only:
diff --git a/documents/reference/rtos_drivers/index.rst b/documents/reference/rtos_drivers/index.rst
deleted file mode 100644
index 9f75dc779..000000000
--- a/documents/reference/rtos_drivers/index.rst
+++ /dev/null
@@ -1,28 +0,0 @@
-############
-RTOS Drivers
-############
-
-***
-I/O
-***
-
-.. toctree::
- :maxdepth: 1
-
- gpio
- i2c
- i2s
- mic_array
- qspi_flash
- spi
- usb
-
-*****
-XCORE
-*****
-
-.. toctree::
- :maxdepth: 1
-
- swmem
- intertile
diff --git a/documents/reference/rtos_drivers/intertile.rst b/documents/reference/rtos_drivers/intertile.rst
deleted file mode 100644
index 686cf686d..000000000
--- a/documents/reference/rtos_drivers/intertile.rst
+++ /dev/null
@@ -1,22 +0,0 @@
-#####################
-Intertile RTOS Driver
-#####################
-
-This driver allows for communication between AMP RTOS instances running on different XCore tiles.
-
-******************
-Initialization API
-******************
-The following structures and functions are used to initialize and start an intertile driver instance.
-
-.. doxygengroup:: rtos_intertile_driver
- :content-only:
-
-********
-Core API
-********
-
-The following functions are the core intertile driver functions that are used after it has been initialized and started.
-
-.. doxygengroup:: rtos_intertile_driver_core
- :content-only:
diff --git a/documents/reference/rtos_drivers/mic_array.rst b/documents/reference/rtos_drivers/mic_array.rst
deleted file mode 100644
index be8d4d267..000000000
--- a/documents/reference/rtos_drivers/mic_array.rst
+++ /dev/null
@@ -1,32 +0,0 @@
-############################
-Microphone Array RTOS Driver
-############################
-
-This driver can be used to instantiate and control a dual DDR PDM microphone interface on XCore in an RTOS application.
-
-******************
-Initialization API
-******************
-The following structures and functions are used to initialize and start a microphone array driver instance.
-
-.. doxygengroup:: rtos_mic_array_driver
- :content-only:
-
-********
-Core API
-********
-
-The following functions are the core microphone array driver functions that are used after it has been initialized and started.
-
-.. doxygengroup:: rtos_mic_array_driver_core
- :content-only:
-
-**********************
-RPC Initialization API
-**********************
-
-The following functions may be used to share a microphone array driver instance with other XCore tiles. Tiles that the
-driver instance is shared with may call any of the core functions listed above.
-
-.. doxygengroup:: rtos_mic_array_driver_rpc
- :content-only:
diff --git a/documents/reference/rtos_drivers/qspi_flash.rst b/documents/reference/rtos_drivers/qspi_flash.rst
deleted file mode 100644
index 3bf158add..000000000
--- a/documents/reference/rtos_drivers/qspi_flash.rst
+++ /dev/null
@@ -1,32 +0,0 @@
-######################
-QSPI Flash RTOS Driver
-######################
-
-This driver can be used to instantiate and control a Quad SPI flash I/O interface on XCore in an RTOS application.
-
-******************
-Initialization API
-******************
-The following structures and functions are used to initialize and start a QSPI flash driver instance.
-
-.. doxygengroup:: rtos_qspi_flash_driver
- :content-only:
-
-********
-Core API
-********
-
-The following functions are the core QSPI flash driver functions that are used after it has been initialized and started.
-
-.. doxygengroup:: rtos_qspi_flash_driver_core
- :content-only:
-
-**********************
-RPC Initialization API
-**********************
-
-The following functions may be used to share a QSPI flash driver instance with other XCore tiles. Tiles that the
-driver instance is shared with may call any of the core functions listed above.
-
-.. doxygengroup:: rtos_qspi_flash_driver_rpc
- :content-only:
diff --git a/documents/reference/rtos_drivers/spi.rst b/documents/reference/rtos_drivers/spi.rst
deleted file mode 100644
index 73e9ebf52..000000000
--- a/documents/reference/rtos_drivers/spi.rst
+++ /dev/null
@@ -1,32 +0,0 @@
-######################
-SPI Master RTOS Driver
-######################
-
-This driver can be used to instantiate and control a SPI master I/O interface on XCore in an RTOS application.
-
-******************
-Initialization API
-******************
-The following structures and functions are used to initialize and start a SPI master driver instance.
-
-.. doxygengroup:: rtos_spi_master_driver
- :content-only:
-
-********
-Core API
-********
-
-The following functions are the core SPI master driver functions that are used after it has been initialized and started.
-
-.. doxygengroup:: rtos_spi_master_driver_core
- :content-only:
-
-**********************
-RPC Initialization API
-**********************
-
-The following functions may be used to share a SPI master driver instance with other XCore tiles. Tiles that the
-driver instance is shared with may call any of the core functions listed above.
-
-.. doxygengroup:: rtos_spi_master_driver_rpc
- :content-only:
diff --git a/documents/reference/rtos_drivers/swmem.rst b/documents/reference/rtos_drivers/swmem.rst
deleted file mode 100644
index f55824ccd..000000000
--- a/documents/reference/rtos_drivers/swmem.rst
+++ /dev/null
@@ -1,8 +0,0 @@
-###########################
-Software Memory RTOS Driver
-###########################
-
-This driver allows for implementing application defined software memory in an RTOS.
-
-.. doxygengroup:: rtos_swmem_driver
- :content-only:
diff --git a/documents/reference/rtos_drivers/usb.rst b/documents/reference/rtos_drivers/usb.rst
deleted file mode 100644
index dd5caf5cf..000000000
--- a/documents/reference/rtos_drivers/usb.rst
+++ /dev/null
@@ -1,16 +0,0 @@
-#####################
-USB RTOS Driver
-#####################
-
-This driver can be used to instantiate and control a USB device interface on XCore in an RTOS application.
-
-Unlike most other XCore I/O interface RTOS drivers, only a single USB driver instance may be started. It also does not require an initialization step prior to starting the driver. This is due to an implementation detail in lib_xud, which is what the RTOS USB driver uses at its core.
-
-**********
-Driver API
-**********
-The following structures and functions are used to start and use a USB driver instance.
-
-.. doxygengroup:: rtos_usb_driver
- :content-only:
- :inner:
diff --git a/documents/tutorials/bare-metal/cifar10.rst b/documents/tutorials/bare-metal/cifar10.rst
deleted file mode 100644
index 2414e6cfe..000000000
--- a/documents/tutorials/bare-metal/cifar10.rst
+++ /dev/null
@@ -1,3 +0,0 @@
-.. index:: CIFAR-10
-
-.. include:: ../../../examples/bare-metal/cifar10/README.rst
\ No newline at end of file
diff --git a/documents/tutorials/bare-metal/hello_world.rst b/documents/tutorials/bare-metal/hello_world.rst
deleted file mode 100644
index 446084316..000000000
--- a/documents/tutorials/bare-metal/hello_world.rst
+++ /dev/null
@@ -1 +0,0 @@
-.. include:: ../../../examples/bare-metal/hello_world/README.rst
diff --git a/documents/tutorials/bare-metal/hotdog_not_hotdog.rst b/documents/tutorials/bare-metal/hotdog_not_hotdog.rst
deleted file mode 100644
index 05e813f07..000000000
--- a/documents/tutorials/bare-metal/hotdog_not_hotdog.rst
+++ /dev/null
@@ -1 +0,0 @@
-.. include:: ../../../examples/bare-metal/hotdog_not_hotdog/README.rst
\ No newline at end of file
diff --git a/documents/tutorials/bare-metal/images/leds.png b/documents/tutorials/bare-metal/images/leds.png
deleted file mode 100644
index 69522e30d..000000000
Binary files a/documents/tutorials/bare-metal/images/leds.png and /dev/null differ
diff --git a/documents/tutorials/bare-metal/micro_speech.rst b/documents/tutorials/bare-metal/micro_speech.rst
deleted file mode 100644
index c7e4be178..000000000
--- a/documents/tutorials/bare-metal/micro_speech.rst
+++ /dev/null
@@ -1 +0,0 @@
-.. include:: ../../../examples/bare-metal/micro_speech/README.rst
\ No newline at end of file
diff --git a/documents/tutorials/bare-metal/visual_wake_words.rst b/documents/tutorials/bare-metal/visual_wake_words.rst
deleted file mode 100644
index e36ac01eb..000000000
--- a/documents/tutorials/bare-metal/visual_wake_words.rst
+++ /dev/null
@@ -1 +0,0 @@
-.. include:: ../../../examples/bare-metal/visual_wake_words/README.rst
\ No newline at end of file
diff --git a/documents/tutorials/freertos/cifar10.rst b/documents/tutorials/freertos/cifar10.rst
deleted file mode 100644
index 30099a295..000000000
--- a/documents/tutorials/freertos/cifar10.rst
+++ /dev/null
@@ -1,3 +0,0 @@
-.. index:: CIFAR-10
-
-.. include:: ../../../examples/freertos/cifar10/README.rst
\ No newline at end of file
diff --git a/documents/tutorials/freertos/explorer_board.rst b/documents/tutorials/freertos/explorer_board.rst
deleted file mode 100644
index 005ceccc1..000000000
--- a/documents/tutorials/freertos/explorer_board.rst
+++ /dev/null
@@ -1 +0,0 @@
-.. include:: ../../../examples/freertos/explorer_board/README.rst
\ No newline at end of file
diff --git a/documents/tutorials/freertos/iot_aws.rst b/documents/tutorials/freertos/iot_aws.rst
deleted file mode 100644
index 0242e9999..000000000
--- a/documents/tutorials/freertos/iot_aws.rst
+++ /dev/null
@@ -1 +0,0 @@
-.. include:: ../../../examples/freertos/iot_aws/README.rst
\ No newline at end of file
diff --git a/documents/tutorials/freertos/person_detection.rst b/documents/tutorials/freertos/person_detection.rst
deleted file mode 100644
index fef49d7d5..000000000
--- a/documents/tutorials/freertos/person_detection.rst
+++ /dev/null
@@ -1,3 +0,0 @@
-.. index:: Person Detection
-
-.. include:: ../../../examples/freertos/person_detection/README.rst
\ No newline at end of file
diff --git a/documents/tutorials/index.rst b/documents/tutorials/index.rst
deleted file mode 100644
index 993816d93..000000000
--- a/documents/tutorials/index.rst
+++ /dev/null
@@ -1,47 +0,0 @@
-#########
-Tutorials
-#########
-
-
-********
-FreeRTOS
-********
-
-User Guides
-===========
-
-.. toctree::
- :maxdepth: 1
-
- freertos/getting_started
-
-Example Applications
-====================
-
-Several example FreeRTOS applications are included to illustrate the fundamental tool flow and provide a starting point for new applications. The examples do not seek to exhibit the full potential of the platform, and are purposely basic to provide instruction.
-
-.. toctree::
- :maxdepth: 1
-
- freertos/cifar10
- freertos/person_detection
- freertos/explorer_board
- freertos/iot_aws
-
-**********
-Bare-metal
-**********
-
-Example Applications
-====================
-
-Several example bare-metal applications are included to illustrate the fundamental tool flow and provide a starting point for basic evaluation. The examples do not seek to exhibit the full potential of the platform, and are purposely basic to provide instruction.
-
-.. toctree::
- :maxdepth: 1
-
- bare-metal/hello_world
- bare-metal/cifar10
- bare-metal/micro_speech
- bare-metal/visual_wake_words
- bare-metal/hotdog_not_hotdog
diff --git a/environment.yml b/environment.yml
deleted file mode 100644
index ad0afe417..000000000
--- a/environment.yml
+++ /dev/null
@@ -1,31 +0,0 @@
-channels:
- - mvdbeek
- - bioconda
- - conda-forge
- - anaconda
- - defaults
-dependencies:
- - cmake=3.14.0
- - doxygen=1.9.1
- - ipython=7.21.0
- - jupyter=1.0.0
- - jupyter_client=6.1.2
- - jupyter_console=6.3.0
- - jupyter_core=4.7.1
- - make=4.2.1
- - nbval=0.9.6
- - ncurses=6.2
- - pip=21.0.1
- - python=3.8.5
- - pytest=6.2.0
- - pytest-forked=1.3.0
- - pytest-xdist=2.2.0
- - Sphinx=3.5.3
- - pip:
- - breathe==4.27.0
- - furo==2021.2.28b28
- - PyYAML==5.4.1
- - setuptools_scm==6.0.1
- - sphinx-autobuild==2020.9.1
- - sphinx-copybutton==0.3.1
- - sphinx-inline-tabs==2020.10.19b4
diff --git a/examples/bare-metal/cifar10/CMakeLists.txt b/examples/bare-metal/cifar10/CMakeLists.txt
deleted file mode 100644
index 2c72e8922..000000000
--- a/examples/bare-metal/cifar10/CMakeLists.txt
+++ /dev/null
@@ -1,96 +0,0 @@
-cmake_minimum_required(VERSION 3.14)
-
-set(AIOT_SDK_PATH $ENV{XMOS_AIOT_SDK_PATH})
-
-#**********************
-# Setup XMOS toolchain
-#**********************
-
-include("${AIOT_SDK_PATH}/tools/cmake_utils/xmos_toolchain.cmake")
-
-#**********************
-# Project
-#**********************
-
-# Disable in-source build.
-if("${CMAKE_SOURCE_DIR}" STREQUAL "${CMAKE_BINARY_DIR}")
- message(FATAL_ERROR "In-source build is not allowed! Please specify a build folder.\n\tex:cmake -B build")
-endif()
-
-project(cifar10 VERSION 1.0.0)
-
-enable_language(CXX C ASM)
-
-#**********************
-# Build flags
-#**********************
-
-add_executable(cifar10)
-
-# Optimization
-# -DNDEBUG # define this to remove debug and profiling
-# -DTF_LITE_STRIP_ERROR_STRINGS # define this to remove logging
-
-set(BUILD_FLAGS
- "-target=XCORE-AI-EXPLORER"
- "-fxscope"
- "-fcmdline-buffer-bytes=1024"
- "-mcmodel=large"
- "-Wno-xcore-fptrgroup"
- "-Wno-unknown-pragmas"
- "-fno-rtti"
- "-report"
- "-DTF_LITE_STATIC_MEMORY"
- "-DXCORE"
- "-Os"
-)
-target_link_options(cifar10 PRIVATE ${BUILD_FLAGS} -lquadspi -w)
-set_target_properties(cifar10 PROPERTIES OUTPUT_NAME cifar10.xe)
-if (${USE_SWMEM})
- add_definitions(-DUSE_SWMEM)
-elseif (${USE_EXTMEM})
- add_definitions(-DUSE_EXTMEM)
-endif ()
-
-target_compile_options(cifar10 PRIVATE ${BUILD_FLAGS})
-
-#**********************
-# Additional support sources
-#**********************
-set(ADDITIONAL_C_SOURCES
- "${AIOT_SDK_PATH}/modules/tensorflow_support/qspi_flash/xcore_device_memory.c"
-)
-set(ADDITIONAL_INCLUDE_DIR "${AIOT_SDK_PATH}/modules/tensorflow_support/qspi_flash")
-
-#**********************
-# APP sources
-#**********************
-include("${AIOT_SDK_PATH}/modules/aif/ai_framework.cmake")
-
-set(APP_SOURCES
- "${PROJECT_SOURCE_DIR}/model_runner/cifar10_model_data.c"
- "${PROJECT_SOURCE_DIR}/model_runner/cifar10_model_runner.cc"
- "${PROJECT_SOURCE_DIR}/app/main.c"
-)
-
-#**********************
-# targets
-#**********************
-target_sources(cifar10
- PRIVATE ${APP_SOURCES}
- PRIVATE ${ADDITIONAL_C_SOURCES}
- PRIVATE ${MODEL_RUNNER_SOURCES}
-)
-
-target_include_directories(cifar10
- PRIVATE "${CMAKE_CURRENT_SOURCE_DIR}/app"
- PRIVATE "${CMAKE_CURRENT_SOURCE_DIR}/model_runner"
- PRIVATE ${MODEL_RUNNER_INCLUDES}
- PRIVATE ${ADDITIONAL_INCLUDE_DIR}
-)
-
-#**********************
-# install
-#**********************
-set(INSTALL_DIR "${PROJECT_SOURCE_DIR}/bin")
-install(TARGETS cifar10 DESTINATION ${INSTALL_DIR})
diff --git a/examples/bare-metal/cifar10/README.rst b/examples/bare-metal/cifar10/README.rst
deleted file mode 100644
index 3641297d1..000000000
--- a/examples/bare-metal/cifar10/README.rst
+++ /dev/null
@@ -1,123 +0,0 @@
-########
-CIFAR-10
-########
-
-This example application implements a CNN architecture trained on the `CIFAR-10 `__ dataset. This example demonstrates how to place models in SRAM, Flash or LPDDR. And, this example demonstrates how to benchmark inference duration.
-
-The example reads a test image specified on the command line over JTAG. Input images must be raw RGB buffers with size 32x32x3. Any image with the proper shape should work. The application will attempt to classify an entity in the image and assign it to one of the following classes:
-
-- airplane
-- automobile
-- bird
-- cat
-- deer
-- dog
-- frog
-- horse
-- ship
-- truck
-
-A Python 3 script is provided that will generate one example image from each of the classes above. This script requires `Tensorflow `__, Alex Krizhevsky, 2009.
-
-*********************
-Building the firmware
-*********************
-
-Make a directory for the build.
-
-.. code-block:: console
-
- $ mkdir build
- $ cd build
-
-Run cmake:
-
-.. code-block:: console
-
- $ cmake ../
- $ make
-
-To install, run:
-
-.. code-block:: console
-
- $ make install
-
-Using external memory
-=====================
-
-To building with the model stored in flash, replace the call to cmake above with the following:
-
-.. code-block:: console
-
- $ cmake ../ -DUSE_SWMEM=1
-
-To flash the model, run the following commands:
-
-.. code-block:: console
-
- $ cd bin
- $ xobjdump --strip cifar10.xe
- $ xobjdump --split cifar10.xb
- $ xflash --write-all image_n0c0.swmem --target XCORE-AI-EXPLORER
-
-To building with the model stored in LPDDR, replace the call to cmake above with the following:
-
-.. code-block:: console
-
- $ cmake ../ -DUSE_EXTMEM=1
-
-No additional steps are necessary to copy the model into LPDDR.
-
-Running the firmware
-====================
-
-Running with the xCORE simulator.
-
-.. code-block:: console
-
- $ xsim --xscope "-offline trace.vcd" --args bin/cifar10.xe test_inputs/horse.bin
-
-Running with hardware.
-
-.. code-block:: console
-
- $ xrun --xscope --args bin/cifar10.xe test_inputs/horse.bin
-
-********************
-Optimizing the model
-********************
-
-Unoptimized and optimized models are included with the example.
-
-First, be sure you have installed the XMOS AI Toolchain extensions. If installed, you can optimize your model with the following command:
-
-.. code-block:: console
-
- $ xformer.py --analyze -par 5 model/model_quant.tflite model/model_xcore.tflite
-
-
-Generating the model runner
-===========================
-
-The following command will generate source files for a model runner as well as the TensorFlow Lite model as a character array that can be use by the runner:
-
-.. code-block:: console
-
- $ generate_model_runner.py --input model/model_xcore.tflite --output model_runner --name cifar10
-
-Converting flatbuffer to source file
-====================================
-
-If you do not want to regenerate the model runner, the following command will generate ony the C source file that contains the TensorFlow Lite model as a character array:
-
-.. code-block:: console
-
- $ convert_tflite_to_c_source.py --input model/model_xcore.tflite --header model_runner/cifar10_model_data.h --source model_runner/cifar10_model_data.c --variable-name cifar10
diff --git a/examples/bare-metal/cifar10/app/config.xscope b/examples/bare-metal/cifar10/app/config.xscope
deleted file mode 100644
index f79e64115..000000000
--- a/examples/bare-metal/cifar10/app/config.xscope
+++ /dev/null
@@ -1,23 +0,0 @@
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
\ No newline at end of file
diff --git a/examples/bare-metal/cifar10/app/main.c b/examples/bare-metal/cifar10/app/main.c
deleted file mode 100644
index c0c1ac0c6..000000000
--- a/examples/bare-metal/cifar10/app/main.c
+++ /dev/null
@@ -1,133 +0,0 @@
-// Copyright 2020-2021 XMOS LIMITED.
-// This Software is subject to the terms of the XMOS Public Licence: Version 1.
-#include
-#include
-#include
-#include
-#include
-
-#include "cifar10_model_data.h"
-#include "cifar10_model_runner.h"
-#include "xcore_device_memory.h"
-
-#if defined(USE_SWMEM)
-__attribute__((aligned(8))) static char swmem_handler_stack[1024];
-#endif
-
-#define TENSOR_ARENA_SIZE \
- 58000 // NOTE: This is big enough fo the model to live in RAM or external
- // memory
-static unsigned char tensor_arena[TENSOR_ARENA_SIZE];
-
-static model_runner_t model_runner_ctx_s;
-static model_runner_t *model_runner_ctx = &model_runner_ctx_s;
-
-static int8_t *input_buffer;
-static size_t input_size;
-static int8_t *output_buffer;
-
-static int argmax(const int8_t *A, const int N) {
- int m = 0;
-
- for (int i = 1; i < N; i++) {
- if (A[i] > A[m]) {
- m = i;
- }
- }
-
- return m;
-}
-
-static int load_test_input(const char *filename, int8_t *input, size_t esize) {
- FILE *fd = fopen(filename, "rb");
- fseek(fd, 0, SEEK_END);
- size_t fsize = ftell(fd);
-
- if (fsize != esize) {
- printf("Incorrect input file size. Expected %d bytes.\n", esize);
- return 0;
- }
-
- fseek(fd, 0, SEEK_SET);
- fread(input, 1, fsize, fd);
- fclose(fd);
-
- return 1;
-}
-
-int main(int argc, char *argv[]) {
-#if defined(USE_SWMEM)
- // start SW_Mem handler
- swmem_setup();
- size_t stack_words;
- GET_STACKWORDS(stack_words, swmem_handler);
- run_async(swmem_handler, NULL,
- stack_base(swmem_handler_stack, stack_words + 2));
-#endif
-
- // initialize model runner global state
- model_runner_init(tensor_arena, TENSOR_ARENA_SIZE);
-
- // setup model runner
- cifar10_model_runner_create(model_runner_ctx, NULL);
- model_runner_allocate(model_runner_ctx, cifar10_model_data);
- input_buffer = model_runner_input_buffer_get(model_runner_ctx);
- input_size = model_runner_input_size_get(model_runner_ctx);
- output_buffer = model_runner_output_buffer_get(model_runner_ctx);
-
- if (argc > 1) {
- printf("Input filename = %s\n", argv[1]);
- // Load input tensor
- if (!load_test_input(argv[1], input_buffer, input_size)) return -1;
- } else {
- printf("No input file\n");
- memset(input_buffer, 0, input_size);
- }
-
- // Run inference, and report any error
- printf("Running inference...\n");
- model_runner_invoke(model_runner_ctx);
-
- model_runner_profiler_summary_print(model_runner_ctx);
-
- char classification[12] = {0};
- int m = argmax(output_buffer, 10);
-
- switch (m) {
- case 0:
- snprintf(classification, 9, "Airplane");
- break;
- case 1:
- snprintf(classification, 11, "Automobile");
- break;
- case 2:
- snprintf(classification, 5, "Bird");
- break;
- case 3:
- snprintf(classification, 4, "Cat");
- break;
- case 4:
- snprintf(classification, 5, "Deer");
- break;
- case 5:
- snprintf(classification, 4, "Dog");
- break;
- case 6:
- snprintf(classification, 5, "Frog");
- break;
- case 7:
- snprintf(classification, 6, "Horse");
- break;
- case 8:
- snprintf(classification, 5, "Ship");
- break;
- case 9:
- snprintf(classification, 6, "Truck");
- break;
- default:
- break;
- }
- printf("Classification = %s\n", classification);
-
- return 0;
-}
diff --git a/examples/bare-metal/cifar10/model/model_quant.tflite b/examples/bare-metal/cifar10/model/model_quant.tflite
deleted file mode 100644
index b8860ad6d..000000000
Binary files a/examples/bare-metal/cifar10/model/model_quant.tflite and /dev/null differ
diff --git a/examples/bare-metal/cifar10/model_runner/cifar10_model_data.c b/examples/bare-metal/cifar10/model_runner/cifar10_model_data.c
deleted file mode 100644
index fae2e48e2..000000000
--- a/examples/bare-metal/cifar10/model_runner/cifar10_model_data.c
+++ /dev/null
@@ -1,7566 +0,0 @@
-// This is a TensorFlow Lite model file that has been converted into a C data
-// array using the convert_tflite_to_c_source() tool.
-
-#if( USE_SWMEM == 1)
-__attribute__((section(".SwMem_data")))
-#elif( USE_EXTMEM == 1)
-__attribute__((section(".ExtMem_data")))
-#endif
-const unsigned char cifar10_model_data[] __attribute__((aligned(4))) = {
- 0x20, 0x00, 0x00, 0x00, 0x54, 0x46, 0x4c, 0x33, 0x00, 0x00, 0x00, 0x00, 0x00,
- 0x00, 0x12, 0x00, 0x1c, 0x00, 0x18, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0c, 0x00,
- 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x12, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00,
- 0x00, 0x48, 0x00, 0x00, 0x00, 0xfc, 0x70, 0x01, 0x00, 0x30, 0x71, 0x01, 0x00,
- 0x94, 0x7e, 0x01, 0x00, 0x03, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0c,
- 0x00, 0x00, 0x00, 0x08, 0x00, 0x0c, 0x00, 0x08, 0x00, 0x04, 0x00, 0x08, 0x00,
- 0x00, 0x00, 0x0a, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x13, 0x00, 0x00,
- 0x00, 0x6d, 0x69, 0x6e, 0x5f, 0x72, 0x75, 0x6e, 0x74, 0x69, 0x6d, 0x65, 0x5f,
- 0x76, 0x65, 0x72, 0x73, 0x69, 0x6f, 0x6e, 0x00, 0x0b, 0x00, 0x00, 0x00, 0xb0,
- 0x70, 0x01, 0x00, 0x7c, 0x70, 0x01, 0x00, 0x8c, 0x6f, 0x01, 0x00, 0x7c, 0x47,
- 0x01, 0x00, 0xac, 0x45, 0x01, 0x00, 0x9c, 0x31, 0x01, 0x00, 0xcc, 0x2f, 0x01,
- 0x00, 0xbc, 0xcb, 0x00, 0x00, 0x2c, 0xc8, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00,
- 0x04, 0x00, 0x00, 0x00, 0xb6, 0x8e, 0xfe, 0xff, 0x04, 0x00, 0x00, 0x00, 0x05,
- 0x00, 0x00, 0x00, 0x31, 0x2e, 0x35, 0x2e, 0x30, 0x00, 0x00, 0x00, 0xca, 0x8e,
- 0xfe, 0xff, 0x04, 0x00, 0x00, 0x00, 0x00, 0xc8, 0x00, 0x00, 0xe6, 0xcb, 0x5f,
- 0xf4, 0x15, 0xe4, 0xea, 0xdb, 0xfa, 0xf2, 0xde, 0xf2, 0x18, 0x25, 0xff, 0x15,
- 0x06, 0xac, 0xe1, 0x11, 0xd2, 0x07, 0xc8, 0x30, 0x15, 0xc2, 0x34, 0x11, 0xe2,
- 0xe8, 0x09, 0x12, 0xe0, 0xcf, 0x37, 0x14, 0x15, 0xc8, 0xe2, 0xdb, 0x2b, 0x04,
- 0x1e, 0x0f, 0x01, 0xd2, 0xfb, 0x11, 0x1a, 0x07, 0xfa, 0x30, 0xc1, 0xe2, 0xc1,
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- 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x19, 0x94, 0xff,
- 0xff, 0xff, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x20, 0x05, 0x00, 0x00,
- 0x00, 0x58, 0x43, 0x5f, 0x66, 0x63, 0x00, 0x00, 0x00, 0xac, 0xff, 0xff, 0xff,
- 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x20, 0x13, 0x00, 0x00, 0x00, 0x58,
- 0x43, 0x5f, 0x63, 0x6f, 0x6e, 0x76, 0x32, 0x64, 0x5f, 0x73, 0x68, 0x61, 0x6c,
- 0x6c, 0x6f, 0x77, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x06, 0x00, 0x08, 0x00, 0x07,
- 0x00, 0x06, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x22, 0xe0, 0xff, 0xff, 0xff,
- 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x20, 0x0e, 0x00, 0x00, 0x00, 0x58,
- 0x43, 0x5f, 0x63, 0x6f, 0x6e, 0x76, 0x32, 0x64, 0x5f, 0x64, 0x65, 0x65, 0x70,
- 0x00, 0x00, 0x08, 0x00, 0x0c, 0x00, 0x0b, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00,
- 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x20, 0x0c, 0x00, 0x00, 0x00,
- 0x58, 0x43, 0x5f, 0x6d, 0x61, 0x78, 0x70, 0x6f, 0x6f, 0x6c, 0x32, 0x64, 0x00,
- 0x00, 0x00, 0x00,
-};
-
-const int cifar10_model_data_len = 98192;
\ No newline at end of file
diff --git a/examples/bare-metal/cifar10/model_runner/cifar10_model_runner.cc b/examples/bare-metal/cifar10/model_runner/cifar10_model_runner.cc
deleted file mode 100644
index 4229930fe..000000000
--- a/examples/bare-metal/cifar10/model_runner/cifar10_model_runner.cc
+++ /dev/null
@@ -1,78 +0,0 @@
-// This is a TensorFlow Lite model runner interface that has been
-// generated using the generate_model_runner tool.
-
-#include "cifar10_model_runner.h"
-
-#include "model_runner_profiler.h"
-#include "tensorflow/lite/micro/kernels/xcore/xcore_interpreter.h"
-#include "tensorflow/lite/micro/kernels/xcore/xcore_ops.h"
-
-typedef tflite::MicroMutableOpResolver<6> resolver_t;
-typedef xcore::ModelRunnerProfiler<9> profiler_t;
-
-static resolver_t resolver_s;
-static resolver_t *resolver = nullptr;
-
-static profiler_t *profiler = nullptr;
-
-__attribute__((fptrgroup("model_runner_resolver_get_fptr_grp")))
-void cifar10_resolver_get(void **v_resolver)
-{
- // Set up op resolver
- // This pulls in all the operation implementations we need.
- if (resolver == nullptr) {
- resolver = &resolver_s;
- resolver->AddPad();
- resolver->AddSoftmax();
- resolver->AddCustom(tflite::ops::micro::xcore::MaxPool2D_OpCode, tflite::ops::micro::xcore::Register_MaxPool2D());
- resolver->AddCustom(tflite::ops::micro::xcore::Conv2D_Deep_OpCode, tflite::ops::micro::xcore::Register_Conv2D_Deep());
- resolver->AddCustom(tflite::ops::micro::xcore::FullyConnected_8_OpCode, tflite::ops::micro::xcore::Register_FullyConnected_8());
- resolver->AddCustom(tflite::ops::micro::xcore::Conv2D_Shallow_OpCode, tflite::ops::micro::xcore::Register_Conv2D_Shallow());
- }
-
- *v_resolver = static_cast(resolver);
-}
-
-__attribute__((fptrgroup("model_runner_profiler_get_fptr_grp")))
-void cifar10_profiler_get(void **v_profiler) {
-#ifndef NDEBUG
- if (profiler == nullptr) {
- // Set up profiling
- static profiler_t profiler_s;
-
- profiler = &profiler_s;
- }
-#endif
-
- *v_profiler = static_cast(profiler);
-}
-
-__attribute__((fptrgroup("model_runner_profiler_reset_fptr_grp")))
-void cifar10_profiler_reset() {
- if (profiler) {
- profiler->ClearEvents();
- }
-}
-
-#ifndef NDEBUG
-
-__attribute__((fptrgroup("model_runner_profiler_times_get_fptr_grp")))
-void cifar10_profiler_times_get(uint32_t *count, const uint32_t **times) {
- if (profiler) {
- *count = profiler->GetNumEvents();
- *times = profiler->GetEventDurations();
- }
-}
-
-#endif
-
-//********************************
-// Create a cifar10 model runner.
-//********************************
-void cifar10_model_runner_create(model_runner_t *ctx, void *buffer) {
- ctx->hInterpreter = buffer;
- ctx->resolver_get_fun = &cifar10_resolver_get;
- ctx->profiler_get_fun = &cifar10_profiler_get;
- ctx->profiler_reset_fun = &cifar10_profiler_reset;
- ctx->profiler_times_get_fun = &cifar10_profiler_times_get;
-}
\ No newline at end of file
diff --git a/examples/bare-metal/cifar10/model_runner/cifar10_model_runner.h b/examples/bare-metal/cifar10/model_runner/cifar10_model_runner.h
deleted file mode 100644
index 6e1b7f648..000000000
--- a/examples/bare-metal/cifar10/model_runner/cifar10_model_runner.h
+++ /dev/null
@@ -1,28 +0,0 @@
-// This is a TensorFlow Lite model runner interface that has been
-// generated using the generate_model_runner tool.
-
-#ifndef CIFAR10_MODEL_RUNNER_H_
-#define CIFAR10_MODEL_RUNNER_H_
-
-#include "model_runner.h"
-
-#ifdef __cplusplus
-extern "C" {
-#endif
-
-/** Create a cifar10 model runner.
- *
- * @param[out] ctx Model runner context
- * @param[in] buffer Buffer for interpreter. If NULL, will be allocated with
- * malloc. The caller is responsible for freeing the memory
- * if needed. To determine the size at run time call:
- *
- * size_t size = model_runner_buffer_size_get();
- */
-void cifar10_model_runner_create(model_runner_t *ctx, void *buffer);
-
-#ifdef __cplusplus
-};
-#endif
-
-#endif // CIFAR10_MODEL_RUNNER_H_
\ No newline at end of file
diff --git a/examples/bare-metal/cifar10/test/cifar10_binary_test.sh b/examples/bare-metal/cifar10/test/cifar10_binary_test.sh
deleted file mode 100755
index 29281242a..000000000
--- a/examples/bare-metal/cifar10/test/cifar10_binary_test.sh
+++ /dev/null
@@ -1,16 +0,0 @@
-#!/bin/bash
-set -e
-
-LOG_FILE="$(mktemp)"
-echo "Log file: ${LOG_FILE}"
-
-# Run firmware for DURATION seconds
-xrun --io ../bin/cifar10.xe 2>&1 | tee ${LOG_FILE}
-
-if ! grep 'Classification = Ship' ${LOG_FILE}; then
- echo "ERROR: Expected classification not found in output"
- exit 1
-fi
-
-echo
-echo "~~~ALL TESTS PASSED~~~"
\ No newline at end of file
diff --git a/examples/bare-metal/cifar10/test_inputs/make_test_tensors.py b/examples/bare-metal/cifar10/test_inputs/make_test_tensors.py
deleted file mode 100755
index 3985f4baa..000000000
--- a/examples/bare-metal/cifar10/test_inputs/make_test_tensors.py
+++ /dev/null
@@ -1,41 +0,0 @@
-#!/usr/bin/env python
-# Copyright 2020-2021 XMOS LIMITED.
-# This Software is subject to the terms of the XMOS Public Licence: Version 1.
-
-import tensorflow as tf
-import numpy as np
-
-labels = [
- "airplane",
- "automobile",
- "bird",
- "cat",
- "deer",
- "dog",
- "frog",
- "horse",
- "ship",
- "truck",
-]
-n_lables = len(labels)
-
-# load dataset
-(x_train, y_train), (x_test, y_test) = tf.keras.datasets.cifar10.load_data()
-
-# find first example of each label in dataset
-test_indices = [-1] * n_lables
-for i_label in range(n_lables):
- where = np.where(y_test == i_label)
- test_indices[i_label] = where[0][0]
-
-# make test tensors and output
-for i_label, i_test in enumerate(test_indices):
- orig_img = np.ndarray.astype(x_test[i_test], "int16")
- # make signed int8
- signed_img = np.ndarray.astype((orig_img - 128), "int8")
- # flatten
- flattened_img = signed_img.flatten()
- # output quantized
- fn = "{}.bin".format(labels[i_label])
- with open(fn, "wb") as fd:
- fd.write(flattened_img.tobytes())
diff --git a/examples/bare-metal/cifar10/train/cifar10_model.h5 b/examples/bare-metal/cifar10/train/cifar10_model.h5
deleted file mode 100644
index aae0b04aa..000000000
Binary files a/examples/bare-metal/cifar10/train/cifar10_model.h5 and /dev/null differ
diff --git a/examples/bare-metal/cifar10/train/training_and_converting.ipynb b/examples/bare-metal/cifar10/train/training_and_converting.ipynb
deleted file mode 100644
index d75d57dd8..000000000
--- a/examples/bare-metal/cifar10/train/training_and_converting.ipynb
+++ /dev/null
@@ -1,451 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "code",
- "execution_count": 3,
- "metadata": {},
- "outputs": [],
- "source": [
- "# configure logging in jupyter\n",
- "import sys\n",
- "import logging\n",
- "logger = logging.getLogger()\n",
- "handler = logging.StreamHandler(sys.stderr)\n",
- "handler.setFormatter(logging.Formatter(\"%(name)s:%(levelname)s:%(message)s\"))\n",
- "logger.handlers = [handler]"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# Load the trained model"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4,
- "metadata": {
- "tags": []
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Model: \"CIFAR10_benchmark_model\"\n",
- "_________________________________________________________________\n",
- "Layer (type) Output Shape Param # \n",
- "=================================================================\n",
- "conv2d (Conv2D) (None, 32, 32, 32) 2432 \n",
- "_________________________________________________________________\n",
- "batch_normalization (BatchNo (None, 32, 32, 32) 128 \n",
- "_________________________________________________________________\n",
- "re_lu (ReLU) (None, 32, 32, 32) 0 \n",
- "_________________________________________________________________\n",
- "max_pooling2d (MaxPooling2D) (None, 16, 16, 32) 0 \n",
- "_________________________________________________________________\n",
- "conv2d_1 (Conv2D) (None, 16, 16, 32) 25632 \n",
- "_________________________________________________________________\n",
- "batch_normalization_1 (Batch (None, 16, 16, 32) 128 \n",
- "_________________________________________________________________\n",
- "re_lu_1 (ReLU) (None, 16, 16, 32) 0 \n",
- "_________________________________________________________________\n",
- "max_pooling2d_1 (MaxPooling2 (None, 8, 8, 32) 0 \n",
- "_________________________________________________________________\n",
- "conv2d_2 (Conv2D) (None, 8, 8, 64) 51264 \n",
- "_________________________________________________________________\n",
- "batch_normalization_2 (Batch (None, 8, 8, 64) 256 \n",
- "_________________________________________________________________\n",
- "re_lu_2 (ReLU) (None, 8, 8, 64) 0 \n",
- "_________________________________________________________________\n",
- "max_pooling2d_2 (MaxPooling2 (None, 4, 4, 64) 0 \n",
- "_________________________________________________________________\n",
- "flatten (Flatten) (None, 1024) 0 \n",
- "_________________________________________________________________\n",
- "dense (Dense) (None, 10) 10250 \n",
- "=================================================================\n",
- "Total params: 90,090\n",
- "Trainable params: 89,834\n",
- "Non-trainable params: 256\n",
- "_________________________________________________________________\n"
- ]
- }
- ],
- "source": [
- "import tensorflow as tf\n",
- "\n",
- "model_float = tf.keras.models.load_model(\"./cifar10_model.h5\")\n",
- "model_float.build()\n",
- "\n",
- "model_float.summary()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# Prepare the data"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 5,
- "metadata": {},
- "outputs": [],
- "source": [
- "import numpy as np\n",
- "\n",
- "# download dataset, rescale and cast to float32\n",
- "(train_images, train_labels), (test_images, test_labels) = tf.keras.datasets.cifar10.load_data()\n",
- "scale = tf.constant(255, dtype=tf.dtypes.float32)\n",
- "data = {\n",
- " \"x_train\": np.float32(train_images / scale - 0.5),\n",
- " \"y_train\": np.float32(train_labels),\n",
- " \"x_test\": np.float32(test_images / scale - 0.5),\n",
- " \"y_test\": np.float32(test_labels),\n",
- "}\n",
- "\n",
- "classes = [\n",
- " \"airplane\",\n",
- " \"automobile\",\n",
- " \"bird\",\n",
- " \"cat\",\n",
- " \"deer\",\n",
- " \"dog\",\n",
- " \"frog\",\n",
- " \"horse\",\n",
- " \"ship\",\n",
- " \"truck\",\n",
- "]\n",
- "\n",
- "# create example dataset of the first example of each class\n",
- "sorted_inds = np.argsort(data[\"y_test\"], axis=0, kind=\"mergesort\")\n",
- "subset_inds = sorted_inds[\n",
- " np.searchsorted(\n",
- " data[\"y_test\"][sorted_inds].flatten(),\n",
- " np.arange(10),\n",
- " )\n",
- "]\n",
- "examples = [(data[\"x_test\"][j:j+1], int(data[\"y_test\"][j][0])) for j in subset_inds.flatten()]"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Evaluate the trained, floating-point model"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 6,
- "metadata": {
- "tags": []
- },
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- ""
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "from matplotlib import pyplot as plt\n",
- "from collections import defaultdict\n",
- "\n",
- "prediction_summaries = defaultdict(dict)\n",
- "\n",
- "def plot_examples(title_lines):\n",
- " plt.figure(figsize=(17, 6))\n",
- " plt.subplots_adjust(hspace=.6)\n",
- " for k, (example, cls_idx) in enumerate(examples):\n",
- " cls_name = classes[cls_idx]\n",
- " plt.subplot(2, 5, k + 1)\n",
- " plt.imshow(example[0] + .5)\n",
- " plt.title(\n",
- " '\\n'.join([\"ground truth: \" + cls_name] + [prediction_summaries[cls_name][key] for key in title_lines]),\n",
- " fontsize=11\n",
- " )\n",
- "\n",
- "for example, cls_idx in examples:\n",
- " cls_name = classes[cls_idx]\n",
- " predictions = model_float.predict(example)\n",
- " pred_idx = predictions.argmax(axis=1)[0]\n",
- " top1 = predictions[0, pred_idx]\n",
- " prediction_summaries[cls_name]['float'] = f\"float model: {classes[pred_idx]}, {top1:.2%}\"\n",
- " \n",
- "plot_examples([\"float\"])"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# Quantize the model\n",
- "\n",
- "We provide helpers for the quantization.\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 8,
- "metadata": {
- "scrolled": true,
- "tags": []
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "WARNING:tensorflow:From /home/kmoulton/work/test_aiot_env/xmos_env/lib/python3.6/site-packages/tensorflow/python/training/tracking/tracking.py:111: Model.state_updates (from tensorflow.python.keras.engine.training) is deprecated and will be removed in a future version.\n",
- "Instructions for updating:\n",
- "This property should not be used in TensorFlow 2.0, as updates are applied automatically.\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "tensorflow:WARNING:From /home/kmoulton/work/test_aiot_env/xmos_env/lib/python3.6/site-packages/tensorflow/python/training/tracking/tracking.py:111: Model.state_updates (from tensorflow.python.keras.engine.training) is deprecated and will be removed in a future version.\n",
- "Instructions for updating:\n",
- "This property should not be used in TensorFlow 2.0, as updates are applied automatically.\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "WARNING:tensorflow:From /home/kmoulton/work/test_aiot_env/xmos_env/lib/python3.6/site-packages/tensorflow/python/training/tracking/tracking.py:111: Layer.updates (from tensorflow.python.keras.engine.base_layer) is deprecated and will be removed in a future version.\n",
- "Instructions for updating:\n",
- "This property should not be used in TensorFlow 2.0, as updates are applied automatically.\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "tensorflow:WARNING:From /home/kmoulton/work/test_aiot_env/xmos_env/lib/python3.6/site-packages/tensorflow/python/training/tracking/tracking.py:111: Layer.updates (from tensorflow.python.keras.engine.base_layer) is deprecated and will be removed in a future version.\n",
- "Instructions for updating:\n",
- "This property should not be used in TensorFlow 2.0, as updates are applied automatically.\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "INFO:tensorflow:Assets written to: /tmp/tmpbywi1lb_/assets\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "tensorflow:INFO:Assets written to: /tmp/tmpbywi1lb_/assets\n",
- "root:INFO:Converter quantization processed examples 10/100\n",
- "root:INFO:Converter quantization processed examples 20/100\n",
- "root:INFO:Converter quantization processed examples 30/100\n",
- "root:INFO:Converter quantization processed examples 40/100\n",
- "root:INFO:Converter quantization processed examples 50/100\n",
- "root:INFO:Converter quantization processed examples 60/100\n",
- "root:INFO:Converter quantization processed examples 70/100\n",
- "root:INFO:Converter quantization processed examples 80/100\n",
- "root:INFO:Converter quantization processed examples 90/100\n",
- "root:INFO:Converter quantization processed examples 100/100\n"
- ]
- }
- ],
- "source": [
- "logger.setLevel(logging.INFO)\n",
- "\n",
- "from tflite2xcore.utils import quantize_keras_model\n",
- "\n",
- "# use a few test images as representative dataset\n",
- "representative_data = data[\"x_test\"][:100]\n",
- "\n",
- "# quantize model\n",
- "model_quant = quantize_keras_model(\n",
- " model_float, representative_data=representative_data, show_progress_step=10,\n",
- ")\n",
- "\n",
- "model_quant_path = \"./model_quant.tflite\"\n",
- "with open(model_quant_path, \"wb\") as fd:\n",
- " s = fd.write(model_quant)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Evaluate the quantized model"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 9,
- "metadata": {
- "tags": []
- },
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- ""
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "from tflite2xcore.utils import quantize, dequantize\n",
- "from tflite2xcore.utils import (\n",
- " apply_interpreter_to_examples # sets input tensors, invokes the interpreter, retrieves outputs\n",
- ")\n",
- "\n",
- "interpreter_quant = tf.lite.Interpreter(model_content=model_quant)\n",
- "input_quantization = interpreter_quant.get_input_details()[0][\"quantization\"]\n",
- "output_quantization = interpreter_quant.get_output_details()[0][\"quantization\"]\n",
- " \n",
- "for example, cls_idx in examples:\n",
- " cls_name = classes[cls_idx]\n",
- " quantized_example = quantize(example, *input_quantization)\n",
- " predictions = apply_interpreter_to_examples(interpreter_quant, quantized_example)\n",
- " predictions = dequantize(predictions, *output_quantization)\n",
- " pred_idx = predictions.argmax(axis=1)[0]\n",
- " top1 = predictions[0, pred_idx]\n",
- " prediction_summaries[cls_name]['quant'] = f\"quant model: {classes[pred_idx]}, {top1:.2%}\"\n",
- "\n",
- "plot_examples([\"float\", \"quant\"])"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# Convert and optimize the model for xcore.ai"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 10,
- "metadata": {
- "tags": []
- },
- "outputs": [],
- "source": [
- "logger.setLevel(logging.ERROR)\n",
- "\n",
- "from tflite2xcore.converter import convert as convert_to_xcore\n",
- "\n",
- "model_xcore_path = \"./model_xcore.tflite\"\n",
- "\n",
- "convert_to_xcore(model_quant_path, model_xcore_path)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Evaluate the optimized model"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 11,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- ""
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "from xcore_interpreters import XCOREInterpreter\n",
- "\n",
- "interpreter_xcore = XCOREInterpreter(model_path=model_xcore_path)\n",
- "input_quantization = interpreter_xcore.get_input_details()[0][\"quantization\"]\n",
- "output_quantization = interpreter_xcore.get_output_details()[0][\"quantization\"]\n",
- " \n",
- "for example, cls_idx in examples:\n",
- " cls_name = classes[cls_idx]\n",
- " quantized_example = quantize(example, *input_quantization)\n",
- " predictions = apply_interpreter_to_examples(interpreter_xcore, quantized_example)\n",
- " predictions = dequantize(predictions, *output_quantization)\n",
- " pred_idx = predictions.argmax(axis=1)[0]\n",
- " top1 = predictions[0, pred_idx]\n",
- " prediction_summaries[cls_name]['xcore'] = f\"xcore model: {classes[pred_idx]}, {top1:.2%}\"\n",
- "\n",
- "plot_examples([\"float\", \"quant\", \"xcore\"])"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# Visualize the model"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 13,
- "metadata": {},
- "outputs": [],
- "source": [
- "from tflite2xcore import tflite_visualize\n",
- "\n",
- "model_xcore_html = \"./model_xcore.html\"\n",
- "\n",
- "# Open model_xcore.html manually\n",
- "tflite_visualize.main(model_xcore_path, model_xcore_html)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.6.12"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
\ No newline at end of file
diff --git a/examples/bare-metal/explorer_board/README.rst b/examples/bare-metal/explorer_board/README.rst
new file mode 100644
index 000000000..2ec82c560
--- /dev/null
+++ b/examples/bare-metal/explorer_board/README.rst
@@ -0,0 +1,83 @@
+##############
+Explorer Board
+##############
+
+This example application demonstrates various capabilities of the Explorer board.
+
+The example consists of pdm_mics to a simple audio processing pipeline which
+applies a variable gain. Pressing button 0 will increase the gain. Pressing
+button 1 will decrease the gain. The processed audio is sent to the DAC.
+
+When button 0 is pressed, LED 0 will be lit. When button 1 is pressed, LED 1
+will be lit. When the gain adjusted audio passes a frame power threshold, LED 2
+will be lit. Lastly, LED 3 will blink periodically.
+
+Additionally, the example demonstrates a simple flash, UART loopback and SPI setup.
+
+
+**********************
+Preparing the hardware
+**********************
+
+The UART loopback section of the demo requires that a jumper cable be connected
+between X1D36 and X1D39. This connects the Tx pin to the Rx pin.
+
+
+*********************
+Building the firmware
+*********************
+
+Run the following commands in the xcore_sdk root folder to build the firmware:
+
+.. tab:: Linux and Mac
+
+ .. code-block:: console
+
+ cmake -B build -DCMAKE_TOOLCHAIN_FILE=xmos_cmake_toolchain/xs3a.cmake
+ cd build
+ make example_bare_metal_explorer_board
+
+.. tab:: Windows
+
+ .. code-block:: console
+
+ cmake -G "NMake Makefiles" -B build -DCMAKE_TOOLCHAIN_FILE=xmos_cmake_toolchain/xs3a.cmake
+ cd build
+ nmake example_bare_metal_explorer_board
+
+********************
+Running the firmware
+********************
+
+From the xcore_sdk build folder run:
+
+.. tab:: Linux and Mac
+
+ .. code-block:: console
+
+ make run_example_bare_metal_explorer_board
+
+.. tab:: Windows
+
+ .. code-block:: console
+
+ nmake run_example_bare_metal_explorer_board
+
+
+********************************
+Debugging the firmware with xgdb
+********************************
+
+From the xcore_sdk build folder run:
+
+.. tab:: Linux and Mac
+
+ .. code-block:: console
+
+ make debug_example_bare_metal_explorer_board
+
+.. tab:: Windows
+
+ .. code-block:: console
+
+ nmake debug_example_bare_metal_explorer_board
diff --git a/examples/bare-metal/explorer_board/XCORE-AI-EXPLORER.xn b/examples/bare-metal/explorer_board/XCORE-AI-EXPLORER.xn
new file mode 100644
index 000000000..4dde19f84
--- /dev/null
+++ b/examples/bare-metal/explorer_board/XCORE-AI-EXPLORER.xn
@@ -0,0 +1,109 @@
+
+
+ Board
+ xcore.ai Explorer Kit
+
+
+ tileref tile[2]
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/examples/bare-metal/explorer_board/explorer_board.cmake b/examples/bare-metal/explorer_board/explorer_board.cmake
new file mode 100644
index 000000000..32d00b9df
--- /dev/null
+++ b/examples/bare-metal/explorer_board/explorer_board.cmake
@@ -0,0 +1,68 @@
+#**********************
+# Gather Sources
+#**********************
+file(GLOB_RECURSE APP_SOURCES ${CMAKE_CURRENT_LIST_DIR}/src/*.c )
+set(APP_INCLUDES
+ ${CMAKE_CURRENT_LIST_DIR}/src
+ ${CMAKE_CURRENT_LIST_DIR}/src/audio_pipeline
+ ${CMAKE_CURRENT_LIST_DIR}/src/platform
+ ${CMAKE_CURRENT_LIST_DIR}/src/misc
+ ${CMAKE_CURRENT_LIST_DIR}/src/demos
+)
+
+#**********************
+# Flags
+#**********************
+set(APP_COMPILER_FLAGS
+ -Os
+ -g
+ -report
+ -fxscope
+ -mcmodel=large
+ -Wno-xcore-fptrgroup
+ ${CMAKE_CURRENT_LIST_DIR}/src/config.xscope
+ ${CMAKE_CURRENT_LIST_DIR}/XCORE-AI-EXPLORER.xn
+)
+set(APP_COMPILE_DEFINITIONS
+ DEBUG_PRINT_ENABLE=1
+ PLATFORM_SUPPORTS_TILE_0=1
+ PLATFORM_SUPPORTS_TILE_1=1
+ PLATFORM_SUPPORTS_TILE_2=0
+ PLATFORM_SUPPORTS_TILE_3=0
+ PLATFORM_USES_TILE_0=1
+ PLATFORM_USES_TILE_1=1
+
+ MIC_ARRAY_CONFIG_CLOCK_BLOCK_A=XS1_CLKBLK_1
+ MIC_ARRAY_CONFIG_CLOCK_BLOCK_B=XS1_CLKBLK_2
+ MIC_ARRAY_CONFIG_PORT_MCLK=PORT_MCLK_IN
+ MIC_ARRAY_CONFIG_PORT_PDM_CLK=PORT_PDM_CLK
+ MIC_ARRAY_CONFIG_PORT_PDM_DATA=PORT_PDM_DATA
+)
+
+set(APP_LINK_OPTIONS
+ -report
+ ${CMAKE_CURRENT_LIST_DIR}/XCORE-AI-EXPLORER.xn
+ ${CMAKE_CURRENT_LIST_DIR}/src/config.xscope
+)
+
+#**********************
+# Tile Targets
+#**********************
+add_executable(example_bare_metal_explorer_board EXCLUDE_FROM_ALL)
+target_sources(example_bare_metal_explorer_board PUBLIC ${APP_SOURCES})
+target_include_directories(example_bare_metal_explorer_board PUBLIC ${APP_INCLUDES})
+target_compile_definitions(example_bare_metal_explorer_board PRIVATE ${APP_COMPILE_DEFINITIONS})
+target_compile_options(example_bare_metal_explorer_board PRIVATE ${APP_COMPILER_FLAGS})
+target_link_libraries(example_bare_metal_explorer_board PUBLIC core::general io::all core::multitile_support)
+target_link_options(example_bare_metal_explorer_board PRIVATE ${APP_LINK_OPTIONS})
+
+# MCLK_FREQ, PDM_FREQ, MIC_COUNT, SAMPLES_PER_FRAME
+mic_array_vanilla_add( example_bare_metal_explorer_board
+ 24576000 3072000 2 256 )
+
+#**********************
+# Create run and debug targets
+#**********************
+create_run_target(example_bare_metal_explorer_board)
+create_debug_target(example_bare_metal_explorer_board)
+create_flash_app_target(example_bare_metal_explorer_board)
diff --git a/examples/bare-metal/explorer_board/src/app_conf.h b/examples/bare-metal/explorer_board/src/app_conf.h
new file mode 100644
index 000000000..08f0a11d4
--- /dev/null
+++ b/examples/bare-metal/explorer_board/src/app_conf.h
@@ -0,0 +1,21 @@
+// Copyright 2021 XMOS LIMITED.
+// This Software is subject to the terms of the XMOS Public Licence: Version 1.
+
+#ifndef APP_CONF_H_
+#define APP_CONF_H_
+
+/* Audio Pipeline Configuration */
+#define appconfAUDIO_FRAME_LENGTH MIC_ARRAY_CONFIG_SAMPLES_PER_FRAME
+#define appconfMIC_COUNT MIC_ARRAY_CONFIG_MIC_COUNT
+#define appconfFRAMES_IN_ALL_CHANS (appconfAUDIO_FRAME_LENGTH * appconfMIC_COUNT)
+#define appconfEXP -31
+#define appconfINITIAL_GAIN 20
+#define appconfAUDIO_PIPELINE_MAX_GAIN 60
+#define appconfAUDIO_PIPELINE_MIN_GAIN 0
+#define appconfAUDIO_PIPELINE_GAIN_STEP 4
+#define appconfPOWER_THRESHOLD (float)0.00001
+#define appconfAUDIO_CLOCK_FREQUENCY 24576000
+#define appconfPDM_CLOCK_FREQUENCY 3072000
+#define appconfPIPELINE_AUDIO_SAMPLE_RATE 16000
+
+#endif /* APP_CONF_H_ */
diff --git a/examples/bare-metal/explorer_board/src/audio_pipeline/audio_pipeline.c b/examples/bare-metal/explorer_board/src/audio_pipeline/audio_pipeline.c
new file mode 100644
index 000000000..fc7c62802
--- /dev/null
+++ b/examples/bare-metal/explorer_board/src/audio_pipeline/audio_pipeline.c
@@ -0,0 +1,156 @@
+// Copyright 2021-2022 XMOS LIMITED.
+// This Software is subject to the terms of the XMOS Public Licence: Version 1.
+
+/* System headers */
+#include
+#include
+#include
+#include
+
+/* SDK headers */
+#include "xcore_utils.h"
+#include "mic_array.h"
+#include "bfp_math.h"
+
+/* App headers */
+#include "app_conf.h"
+#include "audio_pipeline.h"
+
+//#include
+void ap_stage_a(chanend_t c_input, chanend_t c_output) {
+ // initialise the array which will hold the data
+ int32_t DWORD_ALIGNED input [appconfAUDIO_FRAME_LENGTH][appconfMIC_COUNT];
+ int32_t DWORD_ALIGNED output [appconfMIC_COUNT][appconfAUDIO_FRAME_LENGTH];
+
+ while(1)
+ {
+ // get the frame from the mic array
+ ma_frame_rx_transpose((int32_t *) input, c_input, appconfMIC_COUNT, appconfAUDIO_FRAME_LENGTH);
+ // change the frame format to [channel][sample]
+ for(int ch = 0; ch < appconfMIC_COUNT; ch ++){
+ for(int smp = 0; smp < appconfAUDIO_FRAME_LENGTH; smp ++){
+ output[ch][smp] = input[smp][ch];
+ }
+ }
+ // send the frame to the next stage
+ s_chan_out_buf_word(c_output, (uint32_t*) output, appconfFRAMES_IN_ALL_CHANS);
+ }
+}
+
+void ap_stage_b(chanend_t c_input, chanend_t c_output, chanend_t c_from_gpio) {
+ // initialise the array which will hold the data
+ int32_t DWORD_ALIGNED output[appconfMIC_COUNT][appconfAUDIO_FRAME_LENGTH];
+ // initialise block floating point structures for both channels
+ bfp_s32_t ch0, ch1;
+ bfp_s32_init(&ch0, output[0], appconfEXP, appconfAUDIO_FRAME_LENGTH, 0);
+ bfp_s32_init(&ch1, output[1], appconfEXP, appconfAUDIO_FRAME_LENGTH, 0);
+
+ int gain_db = appconfINITIAL_GAIN;
+
+ triggerable_disable_all();
+ // initialise events
+ TRIGGERABLE_SETUP_EVENT_VECTOR(c_input, input_frames);
+ TRIGGERABLE_SETUP_EVENT_VECTOR(c_from_gpio, gpio_request);
+
+ triggerable_enable_trigger(c_input);
+ triggerable_enable_trigger(c_from_gpio);
+
+ while(1)
+ {
+ TRIGGERABLE_WAIT_EVENT(input_frames, gpio_request);
+ {
+ input_frames:
+ {
+ // recieve frame over the channel
+ s_chan_in_buf_word(c_input, (uint32_t*) output, appconfFRAMES_IN_ALL_CHANS);
+ // calculate the headroom of the new frames
+ bfp_s32_headroom(&ch0);
+ bfp_s32_headroom(&ch1);
+ // update the gain
+ float power = (float)gain_db / 20.0;
+ float gain_fl = powf(10.0, power);
+ float_s32_t gain = float_to_float_s32(gain_fl);
+ // scale both channels
+ bfp_s32_scale(&ch0, &ch0, gain);
+ bfp_s32_scale(&ch1, &ch1, gain);
+ // normalise exponent
+ bfp_s32_use_exponent(&ch0, appconfEXP);
+ bfp_s32_use_exponent(&ch1, appconfEXP);
+ // send frame over the channel
+ s_chan_out_buf_word(c_output, (uint32_t*) output, appconfFRAMES_IN_ALL_CHANS);
+ }
+ continue;
+ }
+ {
+ gpio_request:
+ {
+ char msg = chanend_in_byte(c_from_gpio);
+ switch(msg)
+ {
+ default:
+ break;
+ case 0x01: /* Btn A */
+ gain_db = (gain_db >= appconfAUDIO_PIPELINE_MAX_GAIN) ? gain_db : gain_db + appconfAUDIO_PIPELINE_GAIN_STEP;
+ break;
+ case 0x02: /* Btn B */
+ gain_db = (gain_db <= appconfAUDIO_PIPELINE_MIN_GAIN) ? gain_db : gain_db - appconfAUDIO_PIPELINE_GAIN_STEP;
+ break;
+ }
+ debug_printf("Gain set to %f\n", gain_db);
+ }
+ continue;
+ }
+ }
+}
+
+void ap_stage_c(chanend_t c_input, chanend_t c_output, chanend_t c_to_gpio) {
+
+ int32_t DWORD_ALIGNED input[appconfMIC_COUNT][appconfAUDIO_FRAME_LENGTH];
+ int32_t DWORD_ALIGNED output[appconfAUDIO_FRAME_LENGTH][appconfMIC_COUNT];
+ // initialise block floating point structures for both channels
+ bfp_s32_t ch0, ch1;
+ bfp_s32_init(&ch0, input[0], appconfEXP, appconfAUDIO_FRAME_LENGTH, 0);
+ bfp_s32_init(&ch1, input[1], appconfEXP, appconfAUDIO_FRAME_LENGTH, 0);
+
+ triggerable_disable_all();
+ // initialise event
+ TRIGGERABLE_SETUP_EVENT_VECTOR(c_input, input_frames);
+
+ triggerable_enable_trigger(c_input);
+
+ while(1)
+ {
+ TRIGGERABLE_WAIT_EVENT(input_frames);
+ {
+ input_frames:
+ {
+ uint8_t led_byte = 0;
+ // recieve frame over the channel
+ s_chan_in_buf_word(c_input, (uint32_t*) input, appconfFRAMES_IN_ALL_CHANS);
+ // calculate the headroom of the new frames
+ bfp_s32_headroom(&ch0);
+ bfp_s32_headroom(&ch1);
+ // calculate the frame energy
+ float_s32_t frame_energy_ch0 = float_s64_to_float_s32(bfp_s32_energy(&ch0));
+ float_s32_t frame_energy_ch1 = float_s64_to_float_s32(bfp_s32_energy(&ch1));
+ // calculate the frame power
+ float frame_pow0 = float_s32_to_float(frame_energy_ch0) / (float)appconfAUDIO_FRAME_LENGTH;
+ float frame_pow1 = float_s32_to_float(frame_energy_ch1) / (float)appconfAUDIO_FRAME_LENGTH;
+ if((frame_pow0 > appconfPOWER_THRESHOLD) || (frame_pow1 > appconfPOWER_THRESHOLD)){
+ led_byte = 1;
+ }
+ // send led value to gpio
+ chanend_out_byte(c_to_gpio, led_byte);
+ // change the array format to [sample][channel]
+ for(int ch = 0; ch < appconfMIC_COUNT; ch ++){
+ for(int smp = 0; smp < appconfAUDIO_FRAME_LENGTH; smp ++){
+ output[smp][ch] = input[ch][smp];
+ }
+ }
+ // send frame over the channel
+ s_chan_out_buf_word(c_output, (uint32_t*) output, appconfFRAMES_IN_ALL_CHANS);
+ }
+ continue;
+ }
+ }
+}
diff --git a/examples/bare-metal/explorer_board/src/audio_pipeline/audio_pipeline.h b/examples/bare-metal/explorer_board/src/audio_pipeline/audio_pipeline.h
new file mode 100644
index 000000000..f6ab1c25b
--- /dev/null
+++ b/examples/bare-metal/explorer_board/src/audio_pipeline/audio_pipeline.h
@@ -0,0 +1,14 @@
+// Copyright 2021 XMOS LIMITED.
+// This Software is subject to the terms of the XMOS Public Licence: Version 1.
+
+#ifndef AUDIO_PIPELINE_H_
+#define AUDIO_PIPELINE_H_
+
+#include
+#include
+
+DECLARE_JOB(ap_stage_a, (chanend_t, chanend_t));
+DECLARE_JOB(ap_stage_b, (chanend_t, chanend_t, chanend_t));
+DECLARE_JOB(ap_stage_c, (chanend_t, chanend_t, chanend_t));
+
+#endif /* AUDIO_PIPELINE_H_ */
diff --git a/examples/bare-metal/explorer_board/src/config.xscope b/examples/bare-metal/explorer_board/src/config.xscope
new file mode 100644
index 000000000..d7f437dcc
--- /dev/null
+++ b/examples/bare-metal/explorer_board/src/config.xscope
@@ -0,0 +1,22 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/examples/bare-metal/explorer_board/src/demos/app_demos.h b/examples/bare-metal/explorer_board/src/demos/app_demos.h
new file mode 100644
index 000000000..bd8967032
--- /dev/null
+++ b/examples/bare-metal/explorer_board/src/demos/app_demos.h
@@ -0,0 +1,25 @@
+// Copyright 2021 XMOS LIMITED.
+// This Software is subject to the terms of the XMOS Public Licence: Version 1.
+
+#ifndef APP_DEMOS_H_
+#define APP_DEMOS_H_
+
+/* System headers */
+#include
+#include
+#include
+#include
+
+/* SDK headers */
+#include "xcore_utils.h"
+#include "spi.h"
+#include "qspi_flash.h"
+#include "uart.h"
+
+DECLARE_JOB(spi_demo, (spi_master_device_t*));
+DECLARE_JOB(gpio_server, (chanend_t, chanend_t));
+DECLARE_JOB(flash_demo, (qspi_flash_ctx_t *));
+DECLARE_JOB(uart_rx_demo, (uart_rx_t *));
+DECLARE_JOB(uart_tx_demo, (uart_tx_t *));
+
+#endif /* APP_CONF_H_ */
diff --git a/examples/bare-metal/explorer_board/src/demos/flash_demo.c b/examples/bare-metal/explorer_board/src/demos/flash_demo.c
new file mode 100644
index 000000000..80da94b59
--- /dev/null
+++ b/examples/bare-metal/explorer_board/src/demos/flash_demo.c
@@ -0,0 +1,13 @@
+// Copyright 2021 XMOS LIMITED.
+// This Software is subject to the terms of the XMOS Public Licence: Version 1.
+
+/* App headers */
+#include "app_demos.h"
+
+void flash_demo(qspi_flash_ctx_t *qspi_flash_ctx)
+{
+ uint32_t id_reg;
+ qspi_flash_read_id(qspi_flash_ctx, (uint8_t*)&id_reg, 4);
+ debug_printf("flash id: 0x%x\n", id_reg);
+ while(1) {;}
+}
diff --git a/examples/bare-metal/explorer_board/src/demos/gpio_server.c b/examples/bare-metal/explorer_board/src/demos/gpio_server.c
new file mode 100644
index 000000000..a180d9742
--- /dev/null
+++ b/examples/bare-metal/explorer_board/src/demos/gpio_server.c
@@ -0,0 +1,100 @@
+// Copyright 2021 XMOS LIMITED.
+// This Software is subject to the terms of the XMOS Public Licence: Version 1.
+
+/* System headers */
+#include
+#include
+#include
+#include
+
+/* App headers */
+#include "app_demos.h"
+
+#define HEARTBEAT_TICKS 50000000
+
+void gpio_server(chanend_t c_from_gpio, chanend_t c_to_gpio)
+{
+ port_t p_leds = PORT_LEDS;
+ port_t p_btns = PORT_BUTTONS;
+ hwtimer_t tmr = hwtimer_alloc();
+
+ port_enable(p_leds);
+ port_enable(p_btns);
+
+ uint32_t led_val = 0;
+ uint32_t heartbeat_val = 0;
+ uint32_t btn_val = port_in(p_btns);
+
+ triggerable_disable_all();
+
+ TRIGGERABLE_SETUP_EVENT_VECTOR(p_btns, event_btn);
+ TRIGGERABLE_SETUP_EVENT_VECTOR(c_to_gpio, event_chan);
+ TRIGGERABLE_SETUP_EVENT_VECTOR(tmr, event_timer);
+
+ port_set_trigger_in_not_equal(p_btns, btn_val);
+ hwtimer_set_trigger_time(tmr, hwtimer_get_time(tmr) + HEARTBEAT_TICKS);
+
+ triggerable_enable_trigger(p_btns);
+ triggerable_enable_trigger(c_to_gpio);
+ triggerable_enable_trigger(tmr);
+
+ while(1)
+ {
+ TRIGGERABLE_WAIT_EVENT(event_btn, event_chan, event_timer);
+ {
+ event_btn:
+ {
+ btn_val = port_in(p_btns);
+ port_set_trigger_value(p_btns, btn_val);
+ int btn0 = ( btn_val >> 0 ) & 0x01;
+ int btn1 = ( btn_val >> 1 ) & 0x01;
+ if (btn0 == 0)
+ {
+ debug_printf("Button A pressed\n");
+ chanend_out_byte(c_from_gpio, 0x01);
+ led_val |= 0x01;
+ } else {
+ led_val &= ~0x01;
+ }
+
+ if (btn1 == 0)
+ {
+ debug_printf("Button B pressed\n");
+ chanend_out_byte(c_from_gpio, 0x02);
+ led_val |= 0x02;
+ } else {
+ led_val &= ~0x02;
+ }
+ port_out(p_leds, led_val);
+ }
+ continue;
+ }
+ {
+ event_chan:
+ {
+ char req_led_val = chanend_in_byte(c_to_gpio);
+ if (req_led_val != 0) {
+ led_val |= 0x04;
+ } else {
+ led_val &= ~0x04;
+ }
+ port_out(p_leds, led_val);
+ }
+ continue;
+ }
+ {
+ event_timer:
+ {
+ hwtimer_set_trigger_time(tmr, hwtimer_get_time(tmr) + HEARTBEAT_TICKS);
+ heartbeat_val ^= 1;
+ if (heartbeat_val != 0) {
+ led_val |= 0x08;
+ } else {
+ led_val &= ~0x08;
+ }
+ port_out(p_leds, led_val);
+ }
+ continue;
+ }
+ }
+}
diff --git a/examples/bare-metal/explorer_board/src/demos/spi_demo.c b/examples/bare-metal/explorer_board/src/demos/spi_demo.c
new file mode 100644
index 000000000..945869995
--- /dev/null
+++ b/examples/bare-metal/explorer_board/src/demos/spi_demo.c
@@ -0,0 +1,21 @@
+// Copyright 2021 XMOS LIMITED.
+// This Software is subject to the terms of the XMOS Public Licence: Version 1.
+
+/* App headers */
+#include "app_demos.h"
+
+void spi_demo(spi_master_device_t* device_ctx)
+{
+ uint32_t in_buf = 0;
+ uint32_t out_buf = 0;
+
+ spi_master_start_transaction(device_ctx);
+ spi_master_transfer(device_ctx,
+ (uint8_t *)&out_buf,
+ (uint8_t *)&in_buf,
+ 4);
+ spi_master_end_transaction(device_ctx);
+
+ debug_printf("spi got 0x%x\n", out_buf);
+ while(1) {;}
+}
diff --git a/examples/bare-metal/explorer_board/src/demos/uart_demo.c b/examples/bare-metal/explorer_board/src/demos/uart_demo.c
new file mode 100644
index 000000000..f19c7a925
--- /dev/null
+++ b/examples/bare-metal/explorer_board/src/demos/uart_demo.c
@@ -0,0 +1,50 @@
+// Copyright 2022 XMOS LIMITED.
+// This Software is subject to the terms of the XMOS Public Licence: Version 1.
+
+/* System headers */
+#include
+#include
+
+/* SDK headers */
+#include "soc.h"
+#include "xcore_utils.h"
+#include "uart.h"
+
+/* App headers */
+#include "app_conf.h"
+#include "app_demos.h"
+
+
+void uart_rx_demo(uart_rx_t* uart_rx_ctx)
+{
+ uint8_t expected = 0;
+
+ while(1) {
+ uint8_t rx = uart_rx(uart_rx_ctx);
+ if(rx != expected){
+ debug_printf("UART data error, expected: %d got: %d\n", expected, rx);
+ debug_printf("Have you connected pins X1D36 and X1D39?\n");
+ }
+ expected++;
+ }
+}
+
+
+void uart_tx_demo(uart_tx_t* uart_tx_ctx)
+{
+ debug_printf("Starting tx ramp test @ %ubaud..\n", XS1_TIMER_HZ / uart_tx_ctx->bit_time_ticks);
+
+ uint8_t tx_data = 0;
+ uint32_t time_now = get_reference_time();
+ while(get_reference_time() < (time_now + 100000)); // Wait for a millisecond
+
+ while(1) {
+ for(int i=0; i<256; i++){
+ uart_tx(uart_tx_ctx, tx_data);
+ tx_data+=1;
+ }
+ uint32_t time_now = get_reference_time();
+ while(get_reference_time() < (time_now + 10000000)); // Wait for 100 milliseconds
+ // debug_printf("Sent: %u\n", tx_data);
+ }
+}
diff --git a/examples/bare-metal/explorer_board/src/main.c b/examples/bare-metal/explorer_board/src/main.c
new file mode 100644
index 000000000..4ec568b1e
--- /dev/null
+++ b/examples/bare-metal/explorer_board/src/main.c
@@ -0,0 +1,56 @@
+// Copyright 2021 XMOS LIMITED.
+// This Software is subject to the terms of the XMOS Public Licence: Version 1.
+
+/* App headers */
+#include "app_conf.h"
+#include "app_demos.h"
+#include "burn.h"
+#include "audio_pipeline.h"
+#include "platform_init.h"
+
+void main_tile0(chanend_t c0, chanend_t c1, chanend_t c2, chanend_t c3)
+{
+ (void)c0;
+ (void)c2;
+ (void)c3;
+
+ platform_init_tile_0(c1);
+
+ PAR_JOBS (
+ PJOB(spi_demo, (&tile0_ctx->spi_device_ctx)),
+ PJOB(gpio_server, (tile0_ctx->c_from_gpio, tile0_ctx->c_to_gpio)),
+ PJOB(flash_demo, (&tile0_ctx->qspi_flash_ctx)),
+ PJOB(burn, ()),
+ PJOB(burn, ()),
+ PJOB(burn, ()),
+ PJOB(burn, ()),
+ PJOB(burn, ())
+ );
+}
+
+void main_tile1(chanend_t c0, chanend_t c1, chanend_t c2, chanend_t c3)
+{
+ (void)c1;
+ (void)c2;
+ (void)c3;
+
+ platform_init_tile_1(c0);
+
+ streaming_channel_t s_chan_ab = s_chan_alloc();
+ streaming_channel_t s_chan_bc = s_chan_alloc();
+ streaming_channel_t s_chan_output = s_chan_alloc();
+ channel_t chan_decoupler = chan_alloc();
+
+ tile1_ctx->c_i2s_to_dac = s_chan_output.end_b;
+
+ PAR_JOBS (
+ PJOB(ma_vanilla_task, (chan_decoupler.end_a)),
+ PJOB(ap_stage_a, (chan_decoupler.end_b, s_chan_ab.end_a)),
+ PJOB(ap_stage_b, (s_chan_ab.end_b, s_chan_bc.end_a, tile1_ctx->c_from_gpio)),
+ PJOB(ap_stage_c, (s_chan_bc.end_b, s_chan_output.end_a, tile1_ctx->c_to_gpio)),
+ PJOB(i2s_master, (&tile1_ctx->i2s_cb_group, tile1_ctx->p_i2s_dout, 1, NULL, 0, tile1_ctx->p_bclk, tile1_ctx->p_lrclk, tile1_ctx->p_mclk, tile1_ctx->bclk)),
+ PJOB(uart_rx_demo, (&tile1_ctx->uart_rx_ctx)),
+ PJOB(uart_tx_demo, (&tile1_ctx->uart_tx_ctx)),
+ PJOB(burn, ())
+ );
+}
diff --git a/examples/bare-metal/explorer_board/src/misc/burn.h b/examples/bare-metal/explorer_board/src/misc/burn.h
new file mode 100644
index 000000000..585c5b832
--- /dev/null
+++ b/examples/bare-metal/explorer_board/src/misc/burn.h
@@ -0,0 +1,16 @@
+// Copyright 2021 XMOS LIMITED.
+// This Software is subject to the terms of the XMOS Public Licence: Version 1.
+
+#ifndef BURN_H_
+#define BURN_H_
+
+#define SETSR(c) asm volatile("setsr %0" : : "n"(c));
+
+DECLARE_JOB(burn, (void));
+
+void burn(void) {
+ SETSR(XS1_SR_QUEUE_MASK | XS1_SR_FAST_MASK);
+ for(;;);
+}
+
+#endif /* BURN_H_ */
diff --git a/examples/bare-metal/explorer_board/src/platform/aic3204.c b/examples/bare-metal/explorer_board/src/platform/aic3204.c
new file mode 100644
index 000000000..aff74a016
--- /dev/null
+++ b/examples/bare-metal/explorer_board/src/platform/aic3204.c
@@ -0,0 +1,163 @@
+// Copyright 2020-2021 XMOS LIMITED.
+// This Software is subject to the terms of the XMOS Public Licence: Version 1.
+
+/* System headers */
+#include
+#include
+
+/* SDK headers */
+#include "xcore_utils.h"
+#include "i2c.h"
+
+/* App headers */
+#include "aic3204.h"
+
+static i2c_master_t *l_i2c_master_ctx = 0;
+
+/*
+ * Writes a value to a register in the AIC3204 DAC chip.
+ */
+static inline int aic3204_reg_write(uint8_t reg, uint8_t val)
+{
+ i2c_regop_res_t ret;
+
+ ret = write_reg(l_i2c_master_ctx, AIC3204_I2C_DEVICE_ADDR, reg, val);
+
+ if (ret == I2C_REGOP_SUCCESS) {
+ return 0;
+ } else {
+ debug_printf("failed to write reg 0x%x val 0x%x\n", reg, val);
+ return -1;
+ }
+}
+
+/*
+ * Example configuration of the TLV320AIC3204 DAC using i2c.
+ *
+ * For details on the TLV320AIC3204 registers and configuration sequence,
+ * see chapters 4 and 5 here: https://www.ti.com/lit/ml/slaa557/slaa557.pdf
+ *
+ * Must be called after the RTOS scheduler is started.
+ */
+int aic3204_init(i2c_master_t *i2c_master_ctx)
+{
+ l_i2c_master_ctx = i2c_master_ctx;
+
+ if (l_i2c_master_ctx == 0) {
+ return -1;
+ }
+
+ if (
+ // Set register page to 0
+ aic3204_reg_write(AIC3204_PAGE_CTRL, 0x00) == 0 &&
+
+ // Initiate SW reset (PLL is powered off as part of reset)
+ aic3204_reg_write(AIC3204_SW_RST, 0x01) == 0 &&
+
+ // Program clock settings
+
+ // Default is CODEC_CLKIN is from MCLK pin. Don't need to change this.
+ // Power up NDAC and set to 1
+ aic3204_reg_write(AIC3204_NDAC, 0x81) == 0 &&
+ // Power up MDAC and set to 4
+ aic3204_reg_write(AIC3204_MDAC, 0x84) == 0 &&
+ // Power up NADC and set to 1
+ aic3204_reg_write(AIC3204_NADC, 0x81) == 0 &&
+ // Power up MADC and set to 4
+ aic3204_reg_write(AIC3204_MADC, 0x84) == 0 &&
+ // Program DOSR = 128
+ aic3204_reg_write(AIC3204_DOSR, 0x80) == 0 &&
+ // Program AOSR = 128
+ aic3204_reg_write(AIC3204_AOSR, 0x80) == 0 &&
+ // Set Audio Interface Config: I2S, 24 bits, slave mode, DOUT always driving.
+ aic3204_reg_write(AIC3204_CODEC_IF, 0x20) == 0 &&
+ // Program the DAC processing block to be used - PRB_P1
+ aic3204_reg_write(AIC3204_DAC_SIG_PROC, 0x01) == 0 &&
+ // Program the ADC processing block to be used - PRB_R1
+ aic3204_reg_write(AIC3204_ADC_SIG_PROC, 0x01) == 0 &&
+ // Select Page 1
+ aic3204_reg_write(AIC3204_PAGE_CTRL, 0x01) == 0 &&
+ // Enable the internal AVDD_LDO:
+ aic3204_reg_write(AIC3204_LDO_CTRL, 0x09) == 0 &&
+
+ //
+ // Program Analog Blocks
+ // ---------------------
+ //
+ // Disable Internal Crude AVdd in presence of external AVdd supply or before powering up internal AVdd LDO
+ aic3204_reg_write(AIC3204_PWR_CFG, 0x08) == 0 &&
+ // Enable Master Analog Power Control
+ aic3204_reg_write(AIC3204_LDO_CTRL, 0x01) == 0 &&
+ // Set Common Mode voltages: Full Chip CM to 0.9V and Output Common Mode for Headphone to 1.65V and HP powered from LDOin @ 3.3V.
+ aic3204_reg_write(AIC3204_CM_CTRL, 0x33) == 0 &&
+ // Set PowerTune Modes
+ // Set the Left & Right DAC PowerTune mode to PTM_P3/4. Use Class-AB driver.
+ aic3204_reg_write(AIC3204_PLAY_CFG1, 0x00) == 0 &&
+ aic3204_reg_write(AIC3204_PLAY_CFG2, 0x00) == 0 &&
+ // Set ADC PowerTune mode PTM_R4.
+ aic3204_reg_write(AIC3204_ADC_PTM, 0x00) == 0 &&
+ // Set MicPGA startup delay to 3.1ms
+ aic3204_reg_write(AIC3204_AN_IN_CHRG, 0x31) == 0 &&
+ // Set the REF charging time to 40ms
+ aic3204_reg_write(AIC3204_REF_STARTUP, 0x01) == 0 &&
+ // HP soft stepping settings for optimal pop performance at power up
+ // Rpop used is 6k with N = 6 and soft step = 20usec. This should work with 47uF coupling
+ // capacitor. Can try N=5,6 or 7 time constants as well. Trade-off delay vs “pop†sound.
+ aic3204_reg_write(AIC3204_HP_START, 0x25) == 0 &&
+ // Route Left DAC to HPL
+ aic3204_reg_write(AIC3204_HPL_ROUTE, 0x08) == 0 &&
+ // Route Right DAC to HPR
+ aic3204_reg_write(AIC3204_HPR_ROUTE, 0x08) == 0 &&
+ // We are using Line input with low gain for PGA so can use 40k input R but lets stick to 20k for now.
+ // Route IN2_L to LEFT_P with 20K input impedance
+ aic3204_reg_write(AIC3204_LPGA_P_ROUTE, 0x20) == 0 &&
+ // Route IN2_R to LEFT_M with 20K input impedance
+ aic3204_reg_write(AIC3204_LPGA_N_ROUTE, 0x20) == 0 &&
+ // Route IN1_R to RIGHT_P with 20K input impedance
+ aic3204_reg_write(AIC3204_RPGA_P_ROUTE, 0x80) == 0 &&
+ // Route IN1_L to RIGHT_M with 20K input impedance
+ aic3204_reg_write(AIC3204_RPGA_N_ROUTE, 0x20) == 0 &&
+ // Unmute HPL and set gain to 0dB
+ aic3204_reg_write(AIC3204_HPL_GAIN, 0x00) == 0 &&
+ // Unmute HPR and set gain to 0dB
+ aic3204_reg_write(AIC3204_HPR_GAIN, 0x00) == 0 &&
+ // Unmute Left MICPGA, Set Gain to 0dB.
+ aic3204_reg_write(AIC3204_LPGA_VOL, 0x00) == 0 &&
+ // Unmute Right MICPGA, Set Gain to 0dB.
+ aic3204_reg_write(AIC3204_RPGA_VOL, 0x00) == 0 &&
+ // Power up HPL and HPR drivers
+ aic3204_reg_write(AIC3204_OP_PWR_CTRL, 0x30) == 0
+ ) {
+ // Wait for 2.5 sec for soft stepping to take effect
+ hwtimer_t timer = hwtimer_alloc();
+ hwtimer_delay(timer, 250000);
+ hwtimer_free(timer);
+
+ } else {
+ debug_printf("Error during DAC configuration\n");
+ return -1;
+ }
+
+ if (
+ //
+ // Power Up DAC/ADC
+ // ----------------
+ //
+ // Select Page 0
+ aic3204_reg_write(AIC3204_PAGE_CTRL, 0x00) == 0 &&
+ // Power up the Left and Right DAC Channels. Route Left data to Left DAC and Right data to Right DAC.
+ // DAC Vol control soft step 1 step per DAC word clock.
+ aic3204_reg_write(AIC3204_DAC_CH_SET1, 0xd4) == 0 &&
+ // Power up Left and Right ADC Channels, ADC vol ctrl soft step 1 step per ADC word clock.
+ aic3204_reg_write(AIC3204_ADC_CH_SET, 0xc0) == 0 &&
+ // Unmute Left and Right DAC digital volume control
+ aic3204_reg_write(AIC3204_DAC_CH_SET2, 0x00) == 0 &&
+ // Unmute Left and Right ADC Digital Volume Control.
+ aic3204_reg_write(AIC3204_ADC_FGA_MUTE, 0x00) == 0
+ ) {
+ return 0;
+ } else {
+ debug_printf("Error during DAC power up\n");
+ return -1;
+ }
+}
diff --git a/examples/bare-metal/explorer_board/src/platform/aic3204.h b/examples/bare-metal/explorer_board/src/platform/aic3204.h
new file mode 100644
index 000000000..6da204b4e
--- /dev/null
+++ b/examples/bare-metal/explorer_board/src/platform/aic3204.h
@@ -0,0 +1,56 @@
+// Copyright 2020-2021 XMOS LIMITED.
+// This Software is subject to the terms of the XMOS Public Licence: Version 1.
+
+#ifndef AIC3204_H_
+#define AIC3204_H_
+
+// TLV320AIC3204 Device I2C Address
+#define AIC3204_I2C_DEVICE_ADDR 0x18
+
+// TLV320AIC3204 Register Addresses
+// Page 0
+#define AIC3204_PAGE_CTRL 0x00 // Register 0 - Page Control
+#define AIC3204_SW_RST 0x01 // Register 1 - Software Reset
+#define AIC3204_NDAC 0x0B // Register 11 - NDAC Divider Value
+#define AIC3204_MDAC 0x0C // Register 12 - MDAC Divider Value
+#define AIC3204_DOSR 0x0E // Register 14 - DOSR Divider Value (LS Byte)
+#define AIC3204_NADC 0x12 // Register 18 - NADC Divider Value
+#define AIC3204_MADC 0x13 // Register 19 - MADC Divider Value
+#define AIC3204_AOSR 0x14 // Register 20 - AOSR Divider Value
+#define AIC3204_CODEC_IF 0x1B // Register 27 - CODEC Interface Control
+#define AIC3204_DAC_SIG_PROC 0x3C // Register 60 - DAC Sig Processing Block Control
+#define AIC3204_ADC_SIG_PROC 0x3D // Register 61 - ADC Sig Processing Block Control
+#define AIC3204_DAC_CH_SET1 0x3F // Register 63 - DAC Channel Setup 1
+#define AIC3204_DAC_CH_SET2 0x40 // Register 64 - DAC Channel Setup 2
+#define AIC3204_DACL_VOL_D 0x41 // Register 65 - DAC Left Digital Vol Control
+#define AIC3204_DACR_VOL_D 0x42 // Register 66 - DAC Right Digital Vol Control
+#define AIC3204_ADC_CH_SET 0x51 // Register 81 - ADC Channel Setup
+#define AIC3204_ADC_FGA_MUTE 0x52 // Register 82 - ADC Fine Gain Adjust/Mute
+
+// Page 1
+#define AIC3204_PWR_CFG 0x01 // Register 1 - Power Config
+#define AIC3204_LDO_CTRL 0x02 // Register 2 - LDO Control
+#define AIC3204_PLAY_CFG1 0x03 // Register 3 - Playback Config 1
+#define AIC3204_PLAY_CFG2 0x04 // Register 4 - Playback Config 2
+#define AIC3204_OP_PWR_CTRL 0x09 // Register 9 - Output Driver Power Control
+#define AIC3204_CM_CTRL 0x0A // Register 10 - Common Mode Control
+#define AIC3204_HPL_ROUTE 0x0C // Register 12 - HPL Routing Select
+#define AIC3204_HPR_ROUTE 0x0D // Register 13 - HPR Routing Select
+#define AIC3204_HPL_GAIN 0x10 // Register 16 - HPL Driver Gain
+#define AIC3204_HPR_GAIN 0x11 // Register 17 - HPR Driver Gain
+#define AIC3204_HP_START 0x14 // Register 20 - Headphone Driver Startup
+#define AIC3204_LPGA_P_ROUTE 0x34 // Register 52 - Left PGA Positive Input Route
+#define AIC3204_LPGA_N_ROUTE 0x36 // Register 54 - Left PGA Negative Input Route
+#define AIC3204_RPGA_P_ROUTE 0x37 // Register 55 - Right PGA Positive Input Route
+#define AIC3204_RPGA_N_ROUTE 0x39 // Register 57 - Right PGA Negative Input Route
+#define AIC3204_LPGA_VOL 0x3B // Register 59 - Left PGA Volume
+#define AIC3204_RPGA_VOL 0x3C // Register 60 - Right PGA Volume
+#define AIC3204_ADC_PTM 0x3D // Register 61 - ADC Power Tune Config
+#define AIC3204_AN_IN_CHRG 0x47 // Register 71 - Analog Input Quick Charging Config
+#define AIC3204_REF_STARTUP 0x7B // Register 123 - Reference Power Up Config
+
+#include "i2c.h"
+
+int aic3204_init(i2c_master_t *i2c_master_ctx);
+
+#endif /* AIC3204_H_ */
diff --git a/examples/bare-metal/explorer_board/src/platform/app_pll_ctrl.c b/examples/bare-metal/explorer_board/src/platform/app_pll_ctrl.c
new file mode 100644
index 000000000..afdbdad34
--- /dev/null
+++ b/examples/bare-metal/explorer_board/src/platform/app_pll_ctrl.c
@@ -0,0 +1,51 @@
+// Copyright (c) 2021 XMOS LIMITED. This Software is subject to the terms of the
+// XMOS Public License: Version 1
+
+/* System headers */
+#include
+#include
+#include
+#include
+
+/* App headers */
+#include "app_pll_ctrl.h"
+
+void app_pll_set_numerator(int numerator)
+{
+ const unsigned tileid = get_local_tile_id();
+ uint32_t fracval = APP_PLL_FRAC_NOM & 0xFFFF00FF;
+ uint32_t f;
+
+ if (numerator > 255) {
+ f = 255;
+ } else if (numerator < 0) {
+ f = 0;
+ } else {
+ f = numerator;
+ }
+
+ fracval |= (f << 8);
+ write_sswitch_reg_no_ack(tileid, XS1_SSWITCH_SS_APP_PLL_FRAC_N_DIVIDER_NUM, fracval);
+}
+
+void app_pll_init(void)
+{
+ unsigned tileid = get_local_tile_id();
+
+ const unsigned APP_PLL_DISABLE = 0x0201FF04;
+ const unsigned APP_PLL_DIV_0 = 0x80000004;
+
+ write_sswitch_reg(tileid, XS1_SSWITCH_SS_APP_PLL_CTL_NUM, APP_PLL_DISABLE);
+
+ hwtimer_t tmr = hwtimer_alloc();
+ {
+ xassert(tmr != 0);
+ hwtimer_delay(tmr, 100000); // 1ms with 100 MHz timer tick
+ }
+ hwtimer_free(tmr);
+
+ write_sswitch_reg(tileid, XS1_SSWITCH_SS_APP_PLL_CTL_NUM, APP_PLL_CTL_VAL);
+ write_sswitch_reg(tileid, XS1_SSWITCH_SS_APP_PLL_CTL_NUM, APP_PLL_CTL_VAL);
+ write_sswitch_reg(tileid, XS1_SSWITCH_SS_APP_PLL_FRAC_N_DIVIDER_NUM, APP_PLL_FRAC_NOM);
+ write_sswitch_reg(tileid, XS1_SSWITCH_SS_APP_CLK_DIVIDER_NUM, APP_PLL_DIV_0);
+}
diff --git a/examples/bare-metal/explorer_board/src/platform/app_pll_ctrl.h b/examples/bare-metal/explorer_board/src/platform/app_pll_ctrl.h
new file mode 100644
index 000000000..183216299
--- /dev/null
+++ b/examples/bare-metal/explorer_board/src/platform/app_pll_ctrl.h
@@ -0,0 +1,19 @@
+// Copyright (c) 2021 XMOS LIMITED. This Software is subject to the terms of the
+// XMOS Public License: Version 1
+
+#ifndef APP_PLL_CTRL_H_
+#define APP_PLL_CTRL_H_
+
+#include "app_conf.h"
+
+#if (appconfAUDIO_CLOCK_FREQUENCY != 24576000)
+#error PLL values only valid if appconfAUDIO_CLOCK_FREQUENCY == 24576000
+#endif
+
+#define APP_PLL_CTL_VAL 0x0A019803 // Valid for all fractional values
+#define APP_PLL_FRAC_NOM 0x800095F9 // 24.576000 MHz
+
+void app_pll_set_numerator(int numerator);
+void app_pll_init(void);
+
+#endif /* APP_PLL_CTRL_H_ */
diff --git a/examples/bare-metal/explorer_board/src/platform/mic_support.h b/examples/bare-metal/explorer_board/src/platform/mic_support.h
new file mode 100644
index 000000000..b62617d92
--- /dev/null
+++ b/examples/bare-metal/explorer_board/src/platform/mic_support.h
@@ -0,0 +1,61 @@
+// Copyright 2021 XMOS LIMITED.
+// This Software is subject to the terms of the XMOS Public Licence: Version 1.
+
+#ifndef MIC_SUPPORT_H_
+#define MIC_SUPPORT_H_
+
+#include
+#include
+
+#include "app_conf.h"
+
+void mic_array_setup_ddr(
+ xclock_t pdmclk,
+ xclock_t pdmclk6,
+ port_t p_mclk,
+ port_t p_pdm_clk,
+ port_t p_pdm_mics,
+ int divide);
+
+void frame_power(int32_t (*audio_frame)[appconfMIC_COUNT]);
+
+inline int mic_array_decimation_factor(
+ const unsigned pdm_clock_frequency,
+ const unsigned sample_rate)
+{
+ return pdm_clock_frequency / (8 * sizeof(int32_t)) / sample_rate;
+}
+
+inline mic_dual_third_stage_coef_t *mic_array_third_stage_coefs(
+ const unsigned decimation_factor)
+{
+ mic_dual_third_stage_coef_t * const fir_coefs[7] = {
+ NULL,
+ g_third_stage_div_2_fir_dual,
+ g_third_stage_div_4_fir_dual,
+ g_third_stage_div_6_fir_dual,
+ g_third_stage_div_8_fir_dual,
+ NULL,
+ g_third_stage_div_12_fir_dual
+ };
+
+ return fir_coefs[decimation_factor/2];
+}
+
+inline int mic_array_fir_compensation(
+ const unsigned decimation_factor)
+{
+ const int fir_gain_compen[7] = {
+ 0,
+ FIR_COMPENSATOR_DIV_2,
+ FIR_COMPENSATOR_DIV_4,
+ FIR_COMPENSATOR_DIV_6,
+ FIR_COMPENSATOR_DIV_8,
+ 0,
+ FIR_COMPENSATOR_DIV_12
+ };
+
+ return fir_gain_compen[decimation_factor/2];
+}
+
+#endif /* MIC_SUPPORT_H_ */
diff --git a/examples/bare-metal/explorer_board/src/platform/platform_init.h b/examples/bare-metal/explorer_board/src/platform/platform_init.h
new file mode 100644
index 000000000..e2024e20c
--- /dev/null
+++ b/examples/bare-metal/explorer_board/src/platform/platform_init.h
@@ -0,0 +1,39 @@
+// Copyright (c) 2021 XMOS LIMITED. This Software is subject to the terms of the
+// XMOS Public License: Version 1
+
+#ifndef PLATFORM_INIT_H_
+#define PLATFORM_INIT_H_
+
+/* System headers */
+#include
+#include
+
+/* SDK headers */
+#include "soc.h"
+#include "xcore_utils.h"
+#include "mic_array.h"
+#include "mic_array_vanilla.h"
+
+/* App headers */
+#include "tile_support.h"
+#include "app_pll_ctrl.h"
+#include "aic3204.h"
+
+/** TILE 0 Clock Blocks */
+#define SPI_CLKBLK XS1_CLKBLK_1
+#define FLASH_CLKBLK XS1_CLKBLK_2
+#define MCLK_CLKBLK XS1_CLKBLK_3
+// #define UNUSED_CLKBLK XS1_CLKBLK_4
+// #define UNUSED_CLKBLK XS1_CLKBLK_5
+
+/** TILE 1 Clock Blocks */
+#define PDM_CLKBLK_1 XS1_CLKBLK_1
+#define PDM_CLKBLK_2 XS1_CLKBLK_2
+#define I2S_CLKBLK XS1_CLKBLK_3
+// #define UNUSED_CLKBLK XS1_CLKBLK_4
+// #define UNUSED_CLKBLK XS1_CLKBLK_5
+
+void platform_init_tile_0(chanend_t c_other_tile);
+void platform_init_tile_1(chanend_t c_other_tile);
+
+#endif /* PLATFORM_INIT_H_ */
diff --git a/examples/bare-metal/explorer_board/src/platform/platform_init_tile0.c b/examples/bare-metal/explorer_board/src/platform/platform_init_tile0.c
new file mode 100644
index 000000000..315e9a9db
--- /dev/null
+++ b/examples/bare-metal/explorer_board/src/platform/platform_init_tile0.c
@@ -0,0 +1,134 @@
+// Copyright (c) 2021 XMOS LIMITED. This Software is subject to the terms of the
+// XMOS Public License: Version 1
+
+/* App headers */
+#include "platform_init.h"
+
+static void tile0_setup_mclk(void);
+static void tile0_init_i2c(void);
+static void tile0_init_spi(void);
+static void tile0_init_spi_device(spi_master_t *spi_ctx);
+static void tile0_init_flash(qspi_flash_ctx_t *qspi_flash_ctx);
+
+void platform_init_tile_0(chanend_t c_other_tile)
+{
+ memset(tile0_ctx, 0, sizeof(tile0_ctx_t));
+
+ tile0_ctx->c_from_gpio = soc_channel_establish(c_other_tile, soc_channel_output);
+ tile0_ctx->c_to_gpio = soc_channel_establish(c_other_tile, soc_channel_input);
+
+ tile0_setup_mclk();
+
+ /* Wait for CODEC reset to be complete */
+ (void)chanend_in_byte(c_other_tile);
+
+ tile0_init_i2c();
+
+ /* Configure DAC */
+ if (aic3204_init(&(tile0_ctx->i2c_ctx)) != 0) {
+ debug_printf("DAC Failed\n");
+ chanend_out_byte(c_other_tile, 0x01);
+ } else {
+ debug_printf("DAC Initialized\n");
+ chanend_out_byte(c_other_tile, 0x00);
+ }
+
+ tile0_init_spi();
+ tile0_init_spi_device(&tile0_ctx->spi_ctx);
+
+ tile0_init_flash(&tile0_ctx->qspi_flash_ctx);
+}
+
+static void tile0_init_spi(void)
+{
+ spi_master_init(&tile0_ctx->spi_ctx,
+ SPI_CLKBLK,
+ WIFI_CS_N,
+ WIFI_CLK,
+ WIFI_MOSI,
+ WIFI_MISO);
+}
+
+static void tile0_init_spi_device(spi_master_t *spi_ctx)
+{
+ spi_master_device_init(&tile0_ctx->spi_device_ctx,
+ spi_ctx,
+ 1, /* WiFi CS pin is on bit 1 of the CS port */
+ SPI_MODE_0,
+ spi_master_source_clock_ref,
+ 0, /* 50 MHz */
+ spi_master_sample_delay_0,
+ 0, 1 ,0 ,0 );
+}
+
+static void tile0_setup_mclk(void)
+{
+ port_enable(PORT_MCLK_IN);
+ clock_enable(MCLK_CLKBLK);
+ clock_set_source_port(MCLK_CLKBLK, PORT_MCLK_IN);
+ port_set_clock(PORT_MCLK_IN, MCLK_CLKBLK);
+ clock_start(MCLK_CLKBLK);
+}
+
+static void tile0_init_i2c(void)
+{
+ i2c_master_init(
+ &(tile0_ctx->i2c_ctx),
+ PORT_I2C_SCL, 0, 0,
+ PORT_I2C_SDA, 0, 0,
+ 100); /* kbps */
+}
+
+static void tile0_init_flash(qspi_flash_ctx_t *qspi_flash_ctx)
+{
+ qspi_io_ctx_t *qspi_io_ctx = &qspi_flash_ctx->qspi_io_ctx;
+
+ qspi_flash_ctx->custom_clock_setup = 1;
+ qspi_flash_ctx->quad_page_program_cmd = qspi_flash_page_program_1_4_4;
+ qspi_flash_ctx->source_clock = qspi_io_source_clock_xcore;
+
+ qspi_io_ctx->clock_block = FLASH_CLKBLK;
+ qspi_io_ctx->cs_port = PORT_SQI_CS;
+ qspi_io_ctx->sclk_port = PORT_SQI_SCLK;
+ qspi_io_ctx->sio_port = PORT_SQI_SIO;
+
+ /** Full speed clock configuration **/
+ qspi_io_ctx->full_speed_clk_divisor = 5; // 600 MHz / (2*5) -> 60 MHz
+ qspi_io_ctx->full_speed_sclk_sample_delay = 1;
+ qspi_io_ctx->full_speed_sclk_sample_edge = qspi_io_sample_edge_rising;
+
+ /** SPI read clock configuration **/
+ qspi_io_ctx->spi_read_clk_divisor = 12; // 600 MHz / (2*12) -> 25 MHz
+
+ qspi_io_ctx->spi_read_sclk_sample_delay = 0;
+ qspi_io_ctx->spi_read_sclk_sample_edge = qspi_io_sample_edge_falling;
+ qspi_io_ctx->full_speed_sio_pad_delay = 0;
+ qspi_io_ctx->spi_read_sio_pad_delay = 0;
+
+ /** The following configuration is only required for the Explorer Board 2v0
+ ** due to an incorrect sfdp parameters being reported for the particular
+ ** flash component sourced. **/
+ qspi_flash_ctx->sfdp_skip = true;
+ qspi_flash_ctx->sfdp_supported = false;
+ qspi_flash_ctx->page_size_bytes = 256;
+ qspi_flash_ctx->page_count = 16384;
+ qspi_flash_ctx->flash_size_kbytes = 4096;
+ qspi_flash_ctx->address_bytes = 3;
+ qspi_flash_ctx->erase_info[0].size_log2 = 12;
+ qspi_flash_ctx->erase_info[0].cmd = 0xEEFEEEEE;
+ qspi_flash_ctx->erase_info[1].size_log2 = 15;
+ qspi_flash_ctx->erase_info[1].cmd = 0xEFEFEEFE;
+ qspi_flash_ctx->erase_info[2].size_log2 = 16;
+ qspi_flash_ctx->erase_info[2].cmd = 0xFFEFFEEE;
+ qspi_flash_ctx->erase_info[3].size_log2 = 0;
+ qspi_flash_ctx->erase_info[3].cmd = 0;
+ qspi_flash_ctx->busy_poll_cmd = 0xEEEEEFEF;
+ qspi_flash_ctx->busy_poll_bit = 0;
+ qspi_flash_ctx->busy_poll_ready_value = 0;
+ qspi_flash_ctx->qe_reg = 2;
+ qspi_flash_ctx->qe_bit = 1;
+ qspi_flash_ctx->sr2_read_cmd = 0xEEFFEFEF;
+ qspi_flash_ctx->sr2_write_cmd = 0xEEEEEEEE;
+
+ qspi_flash_init(qspi_flash_ctx);
+}
diff --git a/examples/bare-metal/explorer_board/src/platform/platform_init_tile1.c b/examples/bare-metal/explorer_board/src/platform/platform_init_tile1.c
new file mode 100644
index 000000000..9e97c27a2
--- /dev/null
+++ b/examples/bare-metal/explorer_board/src/platform/platform_init_tile1.c
@@ -0,0 +1,138 @@
+// Copyright (c) 2021-2022 XMOS LIMITED. This Software is subject to the terms of the
+// XMOS Public License: Version 1
+
+/* App headers */
+#include "../app_conf.h"
+#include "platform_init.h"
+
+static void tile1_setup_dac(void);
+static void tile1_i2s_init(void);
+static void tile1_mic_init(void);
+static void tile1_uart_init(void);
+
+void platform_init_tile_1(chanend_t c_other_tile)
+{
+ memset(tile1_ctx, 0, sizeof(tile1_ctx_t));
+
+ tile1_ctx->c_from_gpio = soc_channel_establish(c_other_tile, soc_channel_input);
+ tile1_ctx->c_to_gpio = soc_channel_establish(c_other_tile, soc_channel_output);
+
+ /* Reset CODEC */
+ tile1_setup_dac();
+
+ /* Signal codec reset complete */
+ chanend_out_byte(c_other_tile, 0x00);
+
+ /* Wait for DAC initialization to be complete */
+ char ret_char = chanend_in_byte(c_other_tile);
+ if (ret_char != 0) {
+ debug_printf("DAC init failed on other tile\n");
+ }
+
+ app_pll_init();
+
+ tile1_mic_init();
+ tile1_i2s_init();
+ tile1_uart_init();
+}
+
+static void tile1_setup_dac(void)
+{
+ const port_t codec_rst_port = PORT_CODEC_RST_N;
+ port_enable(codec_rst_port);
+ port_out(codec_rst_port, 0xF);
+}
+
+static int i2s_mclk_bclk_ratio(
+ const unsigned audio_clock_frequency,
+ const unsigned sample_rate)
+{
+ return audio_clock_frequency / (sample_rate * (8 * sizeof(int32_t)) * I2S_CHANS_PER_FRAME);
+}
+
+I2S_CALLBACK_ATTR
+static void i2s_init(chanend_t *input_c, i2s_config_t *i2s_config)
+{
+ i2s_config->mode = I2S_MODE_I2S;
+ i2s_config->mclk_bclk_ratio = i2s_mclk_bclk_ratio(appconfAUDIO_CLOCK_FREQUENCY, appconfPIPELINE_AUDIO_SAMPLE_RATE);
+}
+
+I2S_CALLBACK_ATTR
+static i2s_restart_t i2s_restart_check(chanend_t *input_c)
+{
+ return I2S_NO_RESTART;
+}
+
+I2S_CALLBACK_ATTR
+static void i2s_receive(chanend_t *input_c, size_t num_in, const int32_t *i2s_sample_buf)
+{
+ return;
+}
+
+I2S_CALLBACK_ATTR
+static void i2s_send(chanend_t *input_c, size_t num_out, int32_t *i2s_sample_buf)
+{
+ s_chan_in_buf_word(*input_c, (uint32_t*)i2s_sample_buf, MIC_ARRAY_CONFIG_MIC_COUNT);
+}
+
+static void tile1_i2s_init(void)
+{
+ tile1_ctx->i2s_cb_group.init = (i2s_init_t) i2s_init;
+ tile1_ctx->i2s_cb_group.restart_check = (i2s_restart_check_t) i2s_restart_check;
+ tile1_ctx->i2s_cb_group.receive = (i2s_receive_t) i2s_receive;
+ tile1_ctx->i2s_cb_group.send = (i2s_send_t) i2s_send;
+ tile1_ctx->i2s_cb_group.app_data = &tile1_ctx->c_i2s_to_dac;
+
+ tile1_ctx->p_i2s_dout[0] = PORT_I2S_DAC_DATA;
+ tile1_ctx->p_bclk = PORT_I2S_BCLK;
+ tile1_ctx->p_lrclk = PORT_I2S_LRCLK;
+ tile1_ctx->p_mclk = PORT_MCLK_IN;
+ tile1_ctx->bclk = I2S_CLKBLK;
+}
+
+static void tile1_mic_init(void)
+{
+ ma_vanilla_init();
+}
+
+HIL_UART_RX_CALLBACK_ATTR
+void uart_rx_error_callback(uart_callback_code_t callback_code, void *app_data){
+ debug_printf("uart_rx_error: 0x%x\n", callback_code);
+}
+
+static void tile1_uart_init(void)
+{
+ const unsigned baud_rate = 921600;
+
+ hwtimer_t tmr_tx = hwtimer_alloc();
+ uart_tx_init(
+ &tile1_ctx->uart_tx_ctx,
+ XS1_PORT_1P, //X1D39
+ baud_rate,
+ 8,
+ UART_PARITY_NONE,
+ 1,
+ tmr_tx,
+ NULL,
+ 0,
+ NULL,
+ NULL
+ );
+
+ hwtimer_t tmr_rx = hwtimer_alloc();
+ uart_rx_init(
+ &tile1_ctx->uart_rx_ctx,
+ XS1_PORT_1M, //X1D36
+ baud_rate,
+ 8,
+ UART_PARITY_NONE,
+ 1,
+ tmr_rx,
+ NULL, // No buffer
+ 0,
+ NULL, // No rx complete callback
+ uart_rx_error_callback,
+ &tile1_ctx->uart_rx_ctx
+ );
+}
+
diff --git a/examples/bare-metal/explorer_board/src/platform/tile_support.c b/examples/bare-metal/explorer_board/src/platform/tile_support.c
new file mode 100644
index 000000000..d3a8f922f
--- /dev/null
+++ b/examples/bare-metal/explorer_board/src/platform/tile_support.c
@@ -0,0 +1,10 @@
+// Copyright (c) 2021 XMOS LIMITED. This Software is subject to the terms of the
+// XMOS Public License: Version 1
+
+#include "tile_support.h"
+
+static tile0_ctx_t tile0_ctx_s;
+tile0_ctx_t *tile0_ctx = &tile0_ctx_s;
+
+static tile1_ctx_t tile1_ctx_s;
+tile1_ctx_t *tile1_ctx = &tile1_ctx_s;
diff --git a/examples/bare-metal/explorer_board/src/platform/tile_support.h b/examples/bare-metal/explorer_board/src/platform/tile_support.h
new file mode 100644
index 000000000..1595c9ac7
--- /dev/null
+++ b/examples/bare-metal/explorer_board/src/platform/tile_support.h
@@ -0,0 +1,47 @@
+// Copyright (c) 2021-2022 XMOS LIMITED. This Software is subject to the terms of the
+// XMOS Public License: Version 1
+
+#ifndef TILE_SUPPORT_H_
+#define TILE_SUPPORT_H_
+
+#include
+
+#include "i2c.h"
+#include "i2s.h"
+#include "spi.h"
+#include "qspi_flash.h"
+#include "mic_array.h"
+#include "uart.h"
+
+typedef struct tile0_struct tile0_ctx_t;
+struct tile0_struct {
+ chanend_t c_from_gpio;
+ chanend_t c_to_gpio;
+ spi_master_device_t spi_device_ctx;
+ spi_master_t spi_ctx;
+ i2c_master_t i2c_ctx;
+ qspi_flash_ctx_t qspi_flash_ctx;
+ qspi_io_ctx_t qspi_io_ctx;
+};
+
+typedef struct tile1_struct tile1_ctx_t;
+struct tile1_struct {
+ chanend_t c_from_gpio;
+ chanend_t c_to_gpio;
+
+ i2s_callback_group_t i2s_cb_group;
+ port_t p_i2s_dout[1];
+ port_t p_bclk;
+ port_t p_lrclk;
+ port_t p_mclk;
+ xclock_t bclk;
+ chanend_t c_i2s_to_dac;
+
+ uart_rx_t uart_rx_ctx;
+ uart_tx_t uart_tx_ctx;
+};
+
+extern tile0_ctx_t *tile0_ctx;
+extern tile1_ctx_t *tile1_ctx;
+
+#endif /* TILE_SUPPORT_H_ */
diff --git a/examples/bare-metal/hello_world/CMakeLists.txt b/examples/bare-metal/hello_world/CMakeLists.txt
deleted file mode 100644
index 021590a0d..000000000
--- a/examples/bare-metal/hello_world/CMakeLists.txt
+++ /dev/null
@@ -1,96 +0,0 @@
-cmake_minimum_required(VERSION 3.14)
-
-set(AIOT_SDK_PATH $ENV{XMOS_AIOT_SDK_PATH})
-
-#**********************
-# Setup XMOS toolchain
-#**********************
-include("${AIOT_SDK_PATH}/tools/cmake_utils/xmos_toolchain.cmake")
-
-#**********************
-# Project
-#**********************
-# Disable in-source build.
-if("${CMAKE_SOURCE_DIR}" STREQUAL "${CMAKE_BINARY_DIR}")
- message(FATAL_ERROR "In-source build is not allowed! Please specify a build folder.\n\tex:cmake -B build")
-endif()
-
-project(hello_world VERSION 1.0.0 )
-
-enable_language(CXX C ASM)
-set(CMAKE_CXX_STANDARD 11)
-set(CMAKE_CXX_STANDARD_REQUIRED ON)
-
-#**********************
-# Build flags
-#**********************
-add_executable(hello_world)
-
-# Optimization
-# -DNDEBUG # define this to remove debug and profiling
-# -DTF_LITE_STRIP_ERROR_STRINGS # define this to remove logging
-
-set(BUILD_FLAGS
-"-target=XCORE-AI-EXPLORER"
-"-mcmodel=large"
-"-Wno-xcore-fptrgroup"
-"-Wno-unknown-pragmas"
-"-report"
-"-DTF_LITE_STATIC_MEMORY"
-"-DXCORE"
-"-Os"
-)
-target_link_options(hello_world PRIVATE ${BUILD_FLAGS} -lquadspi)
-set_target_properties(hello_world PROPERTIES OUTPUT_NAME hello_world.xe)
-
-target_compile_options(hello_world PRIVATE ${BUILD_FLAGS})
-
-#**********************
-# Additional support sources
-#**********************
-set(ADDITIONAL_C_SOURCES
- "${AIOT_SDK_PATH}/modules/tensorflow_support/qspi_flash/xcore_device_memory.c"
-)
-set(ADDITIONAL_INCLUDE_DIR "${AIOT_SDK_PATH}/modules/tensorflow_support/qspi_flash")
-
-#**********************
-# APP sources
-#**********************
-include("${AIOT_SDK_PATH}/modules/aif/ai_framework.cmake")
-
-set(APP_SOURCES
- "${TENSORFLOW_SOURCE_DIR}/tensorflow/lite/micro/examples/hello_world/main.cc"
- "${TENSORFLOW_SOURCE_DIR}/tensorflow/lite/micro/examples/hello_world/constants.cc"
- "${TENSORFLOW_SOURCE_DIR}/tensorflow/lite/micro/examples/hello_world/constants.cc"
- "${PROJECT_SOURCE_DIR}/model.c"
- "${PROJECT_SOURCE_DIR}/output_handler.cc"
- "${PROJECT_SOURCE_DIR}/main_functions.cc"
-)
-
-set(TEST_APP_SOURCES
- ${APP_SOURCES}
- "${TENSORFLOW_SOURCE_DIR}/tensorflow/lite/micro/examples/hello_world/hello_world_test.cc"
- "${TENSORFLOW_SOURCE_DIR}/tensorflow/lite/micro/examples/hello_world/output_handler_test.cc"
-)
-
-#**********************
-# targets
-#**********************
-target_sources(hello_world
- PRIVATE ${ADDITIONAL_C_SOURCES}
- PRIVATE ${XCORE_INTERPRETER_SOURCES}
- PRIVATE ${APP_SOURCES}
-)
-
-target_include_directories(hello_world
- PRIVATE ${ADDITIONAL_INCLUDE_DIR}
- PRIVATE ${XCORE_INTERPRETER_INCLUDES}
- PRIVATE "${TENSORFLOW_SOURCE_DIR}/tensorflow/lite/micro/examples/hello_world"
- PRIVATE "${CMAKE_CURRENT_SOURCE_DIR}"
-)
-
-#**********************
-# install
-#**********************
-set(INSTALL_DIR "${PROJECT_SOURCE_DIR}/bin")
-install(TARGETS hello_world DESTINATION ${INSTALL_DIR})
diff --git a/examples/bare-metal/hello_world/README.rst b/examples/bare-metal/hello_world/README.rst
deleted file mode 100644
index 405326441..000000000
--- a/examples/bare-metal/hello_world/README.rst
+++ /dev/null
@@ -1,69 +0,0 @@
-###########
-Hello World
-###########
-
-This example application is the `hello_world `__ example from TensorFlow Lite for Microcontrollers.
-
-*********************
-Building the firmware
-*********************
-
-Make a directory for the build.
-
-.. code-block:: console
-
- $ mkdir build
- $ cd build
-
-Run cmake.
-
-.. code-block:: console
-
- $ cmake ../
- $ make
-
-To install, run:
-
-.. code-block:: console
-
- $ make install
-
-Running the firmware
-====================
-
-Run the following command:
-
-.. code-block:: console
-
- $ xrun --io bin/hello_world.xe
-
-You should notice a wave pattern moving back and forth on the LEDs.
-
-.. image:: images/leds.*
- :width: 200px
- :align: left
-
-********************
-Optimizing the model
-********************
-
-If the model is retrained, you will need to optimize it for xcore.ai.
-
-First, be sure you have installed the XMOS AI Toolchain extensions. If installed, you can optimize your model with the following command:
-
-.. code-block:: console
-
- $ xformer.py --analyze model/model_quant.tflite model/model_xcore.tflite
-
-The following command will generate a C source file that contains the TensorFlow Lite model as a character array:
-
-.. code-block:: console
-
- $ convert_tflite_to_c_source.py --input model/model_xcore.tflite --header model.h --source model.c --variable-name g --include-guard TENSORFLOW_LITE_MICRO_EXAMPLES_HELLO_WORLD_MODEL_H_
-
-******************
-Training the model
-******************
-
-You may wish to retrain this model. This should rarely be necessary. However, if you would like to learn more about how this model is trained, see: https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/micro/examples/hello_world/train
-
diff --git a/examples/bare-metal/hello_world/images/leds.gif b/examples/bare-metal/hello_world/images/leds.gif
deleted file mode 100644
index ed6015942..000000000
Binary files a/examples/bare-metal/hello_world/images/leds.gif and /dev/null differ
diff --git a/examples/bare-metal/hello_world/main_functions.cc b/examples/bare-metal/hello_world/main_functions.cc
deleted file mode 100644
index fa1f9f619..000000000
--- a/examples/bare-metal/hello_world/main_functions.cc
+++ /dev/null
@@ -1,125 +0,0 @@
-/* Copyright 2020 The TensorFlow Authors. All Rights Reserved.
-
-Licensed under the Apache License, Version 2.0 (the "License");
-you may not use this file except in compliance with the License.
-You may obtain a copy of the License at
-
- http://www.apache.org/licenses/LICENSE-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
-==============================================================================*/
-
-#include
-
-#include "tensorflow/lite/micro/examples/hello_world/main_functions.h"
-
-#include "model.h"
-#include "tensorflow/lite/micro/examples/hello_world/constants.h"
-#include "tensorflow/lite/micro/examples/hello_world/output_handler.h"
-#include "tensorflow/lite/micro/kernels/xcore/xcore_interpreter.h"
-#include "tensorflow/lite/micro/kernels/xcore/xcore_ops.h"
-#include "tensorflow/lite/micro/micro_error_reporter.h"
-#include "tensorflow/lite/micro/micro_mutable_op_resolver.h"
-#include "tensorflow/lite/schema/schema_generated.h"
-#include "tensorflow/lite/version.h"
-
-// Globals
-namespace {
-tflite::ErrorReporter* error_reporter = nullptr;
-const tflite::Model* model = nullptr;
-tflite::micro::xcore::XCoreInterpreter* interpreter = nullptr;
-TfLiteTensor* input = nullptr;
-TfLiteTensor* output = nullptr;
-int inference_count = 0;
-
-// Create an area of memory to use for input, output, and intermediate arrays.
-// Minimum arena size, at the time of writing. After allocating tensors
-// you can retrieve this value by invoking interpreter.arena_used_bytes().
-const int kTensorArenaSize = 3316;
-uint8_t tensor_arena[kTensorArenaSize];
-
-} // namespace
-
-void setup() {
- // Set up logging. Google style is to avoid globals or statics because of
- // lifetime uncertainty, but since this has a trivial destructor it's okay.
- // NOLINTNEXTLINE(runtime-global-variables)
- static tflite::MicroErrorReporter micro_error_reporter;
- error_reporter = µ_error_reporter;
-
- // Map the model into a usable data structure. This doesn't involve any
- // copying or parsing, it's a very lightweight operation.
- model = tflite::GetModel(g_model_data);
- if (model->version() != TFLITE_SCHEMA_VERSION) {
- TF_LITE_REPORT_ERROR(error_reporter,
- "Model provided is schema version %d not equal "
- "to supported version %d.",
- model->version(), TFLITE_SCHEMA_VERSION);
- return;
- }
-
- // This pulls in all the operation implementations we need.
- // NOLINTNEXTLINE(runtime-global-variables)
- static tflite::MicroMutableOpResolver<3> resolver;
- resolver.AddQuantize();
- resolver.AddDequantize();
- resolver.AddCustom(tflite::ops::micro::xcore::FullyConnected_8_OpCode,
- tflite::ops::micro::xcore::Register_FullyConnected_8());
-
- // Build an interpreter to run the model with.
- static tflite::micro::xcore::XCoreInterpreter static_interpreter(
- model, resolver, tensor_arena, kTensorArenaSize, error_reporter);
- interpreter = &static_interpreter;
-
- // Allocate memory from the tensor_arena for the model's tensors.
- TfLiteStatus allocate_status = interpreter->AllocateTensors();
- if (allocate_status != kTfLiteOk) {
- TF_LITE_REPORT_ERROR(error_reporter, "AllocateTensors() failed");
- return;
- }
-
- // Obtain pointers to the model's input and output tensors.
- input = interpreter->input(0);
- output = interpreter->output(0);
-
- // Keep track of how many inferences we have performed.
- inference_count = 0;
-}
-
-// The name of this function is important for Arduino compatibility.
-void loop() {
- // Calculate an x value to feed into the model. We compare the current
- // inference_count to the number of inferences per cycle to determine
- // our position within the range of possible x values the model was
- // trained on, and use this to calculate a value.
- float position = static_cast(inference_count) /
- static_cast(kInferencesPerCycle);
- float x_val = position * kXrange;
-
- // Place our calculated x value in the model's input tensor
- input->data.f[0] = x_val;
-
- // Run inference, and report any error
- TfLiteStatus invoke_status = interpreter->Invoke();
- if (invoke_status != kTfLiteOk) {
- TF_LITE_REPORT_ERROR(error_reporter, "Invoke failed on x_val: %f\n",
- static_cast(x_val));
- return;
- }
-
- // Read the predicted y value from the model's output tensor
- float y_val = output->data.f[0];
-
- // Output the results. A custom HandleOutput function can be implemented
- // for each supported hardware target.
- HandleOutput(error_reporter, x_val, y_val);
-
- // Increment the inference_counter, and reset it if we have reached
- // the total number per cycle
- inference_count += 1;
- if (inference_count >= kInferencesPerCycle) inference_count = 0;
-}
diff --git a/examples/bare-metal/hello_world/model.c b/examples/bare-metal/hello_world/model.c
deleted file mode 100644
index 6571a050a..000000000
--- a/examples/bare-metal/hello_world/model.c
+++ /dev/null
@@ -1,235 +0,0 @@
-// This is a TensorFlow Lite model file that has been converted into a C data
-// array using the convert_tflite_to_c_source() tool.
-
-#if( USE_SWMEM == 1)
-__attribute__((section(".SwMem_data")))
-#elif( USE_EXTMEM == 1)
-__attribute__((section(".ExtMem_data")))
-#endif
-const unsigned char g_model_data[] __attribute__((aligned(4))) = {
- 0x1c, 0x00, 0x00, 0x00, 0x54, 0x46, 0x4c, 0x33, 0x00, 0x00, 0x12, 0x00, 0x1c,
- 0x00, 0x18, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x08, 0x00, 0x00, 0x00,
- 0x04, 0x00, 0x12, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x48, 0x00, 0x00,
- 0x00, 0xc4, 0x04, 0x00, 0x00, 0xe8, 0x04, 0x00, 0x00, 0xc4, 0x0a, 0x00, 0x00,
- 0x03, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x08,
- 0x00, 0x0c, 0x00, 0x08, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x07, 0x00,
- 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x13, 0x00, 0x00, 0x00, 0x6d, 0x69, 0x6e,
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- 0x00, 0x10, 0x00, 0x00, 0x00, 0x54, 0xff, 0xff, 0xff, 0x10, 0x00, 0x00, 0x00,
- 0x04, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, 0x18, 0x00, 0x00, 0x00, 0x0f,
- 0x00, 0x00, 0x00, 0x58, 0x43, 0x5f, 0x66, 0x63, 0x5f, 0x31, 0x2f, 0x77, 0x65,
- 0x69, 0x67, 0x68, 0x74, 0x73, 0x00, 0x02, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00,
- 0x00, 0x10, 0x00, 0x00, 0x00, 0x88, 0xff, 0xff, 0xff, 0x10, 0x00, 0x00, 0x00,
- 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x07, 0x24, 0x00, 0x00, 0x00, 0x18,
- 0x00, 0x00, 0x00, 0x58, 0x43, 0x5f, 0x66, 0x63, 0x5f, 0x31, 0x2f, 0x62, 0x69,
- 0x61, 0x73, 0x5f, 0x73, 0x68, 0x69, 0x66, 0x74, 0x5f, 0x73, 0x63, 0x61, 0x6c,
- 0x65, 0x00, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
- 0x07, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0xcc, 0xff, 0xff, 0xff, 0x10,
- 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, 0x18, 0x00,
- 0x00, 0x00, 0x0f, 0x00, 0x00, 0x00, 0x58, 0x43, 0x5f, 0x66, 0x63, 0x5f, 0x30,
- 0x2f, 0x77, 0x65, 0x69, 0x67, 0x68, 0x74, 0x73, 0x00, 0x02, 0x00, 0x00, 0x00,
- 0x10, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x14, 0x00, 0x10,
- 0x00, 0x0f, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x10, 0x00,
- 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x07, 0x24, 0x00, 0x00,
- 0x00, 0x18, 0x00, 0x00, 0x00, 0x58, 0x43, 0x5f, 0x66, 0x63, 0x5f, 0x30, 0x2f,
- 0x62, 0x69, 0x61, 0x73, 0x5f, 0x73, 0x68, 0x69, 0x66, 0x74, 0x5f, 0x73, 0x63,
- 0x61, 0x6c, 0x65, 0x00, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x01, 0x00,
- 0x00, 0x00, 0x07, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0xd0, 0xff, 0xff,
- 0xff, 0x08, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00, 0x13, 0x00, 0x00, 0x00,
- 0x44, 0x45, 0x51, 0x55, 0x41, 0x4e, 0x54, 0x49, 0x5a, 0x45, 0x5f, 0x30, 0x2f,
- 0x6f, 0x75, 0x74, 0x70, 0x75, 0x74, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x00,
- 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x0c, 0x00, 0x08, 0x00, 0x00,
- 0x00, 0x00, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00,
- 0x18, 0x00, 0x00, 0x00, 0x0d, 0x00, 0x00, 0x00, 0x64, 0x65, 0x6e, 0x73, 0x65,
- 0x5f, 0x32, 0x5f, 0x69, 0x6e, 0x70, 0x75, 0x74, 0x00, 0x00, 0x00, 0x02, 0x00,
- 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0xaa, 0xfe, 0xff,
- 0xff, 0x10, 0x00, 0x00, 0x00, 0x48, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09,
- 0x54, 0x00, 0x00, 0x00, 0x9c, 0xfe, 0xff, 0xff, 0x10, 0x00, 0x00, 0x00, 0x1c,
- 0x00, 0x00, 0x00, 0x20, 0x00, 0x00, 0x00, 0x24, 0x00, 0x00, 0x00, 0x01, 0x00,
- 0x00, 0x00, 0x80, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
- 0x00, 0x01, 0x00, 0x00, 0x00, 0xaa, 0x7b, 0xbe, 0x3b, 0x01, 0x00, 0x00, 0x00,
- 0x2e, 0xbd, 0xbd, 0x3f, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e,
- 0x00, 0x00, 0x00, 0x58, 0x43, 0x5f, 0x66, 0x63, 0x5f, 0x31, 0x2f, 0x6f, 0x75,
- 0x74, 0x70, 0x75, 0x74, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00,
- 0x00, 0x10, 0x00, 0x00, 0x00, 0x1a, 0xff, 0xff, 0xff, 0x10, 0x00, 0x00, 0x00,
- 0x48, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, 0x54, 0x00, 0x00, 0x00, 0x0c,
- 0xff, 0xff, 0xff, 0x10, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00, 0x20, 0x00,
- 0x00, 0x00, 0x24, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x80, 0xff, 0xff,
- 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
- 0xd2, 0x91, 0x43, 0x3c, 0x01, 0x00, 0x00, 0x00, 0x40, 0xce, 0x42, 0x40, 0x01,
- 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x58, 0x43,
- 0x5f, 0x66, 0x63, 0x5f, 0x30, 0x2f, 0x6f, 0x75, 0x74, 0x70, 0x75, 0x74, 0x00,
- 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
- 0x8a, 0xff, 0xff, 0xff, 0x10, 0x00, 0x00, 0x00, 0x48, 0x00, 0x00, 0x00, 0x00,
- 0x00, 0x00, 0x09, 0x58, 0x00, 0x00, 0x00, 0x7c, 0xff, 0xff, 0xff, 0x10, 0x00,
- 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00, 0x20, 0x00, 0x00, 0x00, 0x24, 0x00, 0x00,
- 0x00, 0x01, 0x00, 0x00, 0x00, 0x80, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff,
- 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x5d, 0x4f, 0xc9, 0x3c, 0x01,
- 0x00, 0x00, 0x00, 0x0e, 0x86, 0xc8, 0x40, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00,
- 0x00, 0x00, 0x11, 0x00, 0x00, 0x00, 0x51, 0x55, 0x41, 0x4e, 0x54, 0x49, 0x5a,
- 0x45, 0x5f, 0x30, 0x2f, 0x6f, 0x75, 0x74, 0x70, 0x75, 0x74, 0x00, 0x00, 0x00,
- 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00,
- 0x00, 0x0e, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0f, 0x00, 0x00, 0x00, 0x08, 0x00,
- 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00, 0x54, 0x00, 0x00,
- 0x00, 0x00, 0x00, 0x00, 0x09, 0x60, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x14, 0x00,
- 0x10, 0x00, 0x0c, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x10,
- 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00, 0x20, 0x00, 0x00, 0x00, 0x24, 0x00,
- 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
- 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x1a, 0xde, 0x0a, 0x3c,
- 0x01, 0x00, 0x00, 0x00, 0x66, 0x64, 0x87, 0x3f, 0x01, 0x00, 0x00, 0x00, 0x13,
- 0x42, 0x8d, 0xbf, 0x0e, 0x00, 0x00, 0x00, 0x58, 0x43, 0x5f, 0x66, 0x63, 0x5f,
- 0x32, 0x2f, 0x6f, 0x75, 0x74, 0x70, 0x75, 0x74, 0x00, 0x00, 0x02, 0x00, 0x00,
- 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
- 0x38, 0x00, 0x00, 0x00, 0x24, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00,
- 0x00, 0x0a, 0x00, 0x0a, 0x00, 0x09, 0x00, 0x00, 0x00, 0x04, 0x00, 0x0a, 0x00,
- 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x00, 0x06, 0x06, 0x00, 0x08, 0x00, 0x07,
- 0x00, 0x06, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x72, 0x08, 0x00, 0x0c, 0x00,
- 0x0b, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00,
- 0x00, 0x00, 0x20, 0x05, 0x00, 0x00, 0x00, 0x58, 0x43, 0x5f, 0x66, 0x63, 0x00,
- 0x00, 0x00,
-};
-
-const int g_model_data_len = 2888;
\ No newline at end of file
diff --git a/examples/bare-metal/hello_world/model.h b/examples/bare-metal/hello_world/model.h
deleted file mode 100644
index a5eb0cbf8..000000000
--- a/examples/bare-metal/hello_world/model.h
+++ /dev/null
@@ -1,10 +0,0 @@
-// This is a TensorFlow Lite model file that has been converted into a C data
-// array using the convert_tflite_to_c_source() tool.
-
-#ifndef TENSORFLOW_LITE_MICRO_EXAMPLES_HELLO_WORLD_MODEL_H_
-#define TENSORFLOW_LITE_MICRO_EXAMPLES_HELLO_WORLD_MODEL_H_
-
-extern const unsigned char g_model_data[];
-extern const int g_model_data_len;
-
-#endif // TENSORFLOW_LITE_MICRO_EXAMPLES_HELLO_WORLD_MODEL_H_
\ No newline at end of file
diff --git a/examples/bare-metal/hello_world/model/model_quant.tflite b/examples/bare-metal/hello_world/model/model_quant.tflite
deleted file mode 100644
index d806e1949..000000000
Binary files a/examples/bare-metal/hello_world/model/model_quant.tflite and /dev/null differ
diff --git a/examples/bare-metal/hello_world/output_handler.cc b/examples/bare-metal/hello_world/output_handler.cc
deleted file mode 100644
index 637762f77..000000000
--- a/examples/bare-metal/hello_world/output_handler.cc
+++ /dev/null
@@ -1,66 +0,0 @@
-/* Copyright 2019 The TensorFlow Authors. All Rights Reserved.
-
-Licensed under the Apache License, Version 2.0 (the "License");
-you may not use this file except in compliance with the License.
-You may obtain a copy of the License at
-
- http://www.apache.org/licenses/LICENSE-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
-==============================================================================*/
-
-#include "tensorflow/lite/micro/examples/hello_world/output_handler.h"
-
-extern "C" {
-// These are headers from XMOS toolchain.
-#include
-
-#define LED_PORT XS1_PORT_4C
-}
-
-/*
-This function uses the device's LEDs to visually indicate the current y value.
-The y value is in the range -1 <= y <= 1. The LEDs are physically lined up in
-the following order:
-
- [ 3 2 1 0 ]
-
-The following table represents how we will light the LEDs for different values:
-
-| Range | LEDs lit |
-| 0.75 <= y <= 1 | [ 0 0 1 1 ] |
-| 0 < y < 0.75 | [ 0 0 1 0 ] |
-| y = 0 | [ 0 0 0 0 ] |
-| -0.75 < y < 0 | [ 0 1 0 0 ] |
-| -1 <= y <= 0.75 | [ 1 1 0 0 ] |
-
-*/
-void HandleOutput(tflite::ErrorReporter* error_reporter, float x_value,
- float y_value) {
- // The first time this method runs enable the LED port
- static bool is_initialized = false;
- static uint32_t data = 0x0000;
- if (!is_initialized) {
- port_enable(LED_PORT);
- data = 0;
- is_initialized = true;
- }
-
- if (y_value < 0) {
- data = (y_value < -0.75) ? (0x000C) : (0x0004);
- } else if (y_value > 0) {
- data = (y_value > 0.75) ? (0x0003) : (0x0002);
- } else {
- data = 0x0000;
- }
-
- port_out(LED_PORT, data);
-
- // Log the current X and Y values
- TF_LITE_REPORT_ERROR(error_reporter, "x_value: %f, y_value: %f\n", x_value,
- y_value);
-}
diff --git a/examples/bare-metal/hello_world/test/hello_world_binary_test.sh b/examples/bare-metal/hello_world/test/hello_world_binary_test.sh
deleted file mode 100755
index b39f4fc86..000000000
--- a/examples/bare-metal/hello_world/test/hello_world_binary_test.sh
+++ /dev/null
@@ -1,18 +0,0 @@
-#!/bin/bash
-set -e
-
-DURATION=10
-
-LOG_FILE="$(mktemp)"
-echo "Log file: ${LOG_FILE}"
-
-# Run firmware for DURATION seconds
-timeout ${DURATION} xrun --io ../bin/hello_world.xe 2>&1 | head > ${LOG_FILE}
-
-if ! grep -q 'x_value:.*y_value:' ${LOG_FILE}; then
- echo "ERROR: Expected logs not found in output"
- exit 1
-fi
-
-echo
-echo "~~~ALL TESTS PASSED~~~"
\ No newline at end of file
diff --git a/examples/bare-metal/hotdog_not_hotdog/CMakeLists.txt b/examples/bare-metal/hotdog_not_hotdog/CMakeLists.txt
deleted file mode 100644
index 60c1b871e..000000000
--- a/examples/bare-metal/hotdog_not_hotdog/CMakeLists.txt
+++ /dev/null
@@ -1,104 +0,0 @@
-cmake_minimum_required(VERSION 3.14)
-
-set(AIOT_SDK_PATH $ENV{XMOS_AIOT_SDK_PATH})
-
-#**********************
-# Setup XMOS toolchain
-#**********************
-include("${AIOT_SDK_PATH}/tools/cmake_utils/xmos_toolchain.cmake")
-
-#**********************
-# Project
-#**********************
-
-# Disable in-source build.
-if("${CMAKE_SOURCE_DIR}" STREQUAL "${CMAKE_BINARY_DIR}")
- message(FATAL_ERROR "In-source build is not allowed! Please specify a build folder.\n\tex:cmake -B build")
-endif()
-
-project(hotdog_not_hotdog VERSION 1.0.0)
-
-enable_language(CXX XC C ASM)
-
-#**********************
-# Build flags
-#**********************
-
-add_executable(hotdog_not_hotdog)
-
-# Optimization
-# -DNDEBUG # define this to remove debug and profiling
-# -DTF_LITE_STRIP_ERROR_STRINGS # define this to remove logging
-
-set(BUILD_FLAGS
- "-target=XCORE-AI-EXPLORER"
- "-fxscope"
- "${CMAKE_CURRENT_SOURCE_DIR}/config.xscope"
- "-mcmodel=large"
- "-Wno-xcore-fptrgroup"
- "-Wno-unknown-pragmas"
- "-report"
- "-DTF_LITE_STATIC_MEMORY"
- "-DXCORE"
- "-DUSE_EXTMEM"
- "-Os"
-)
-target_link_options(hotdog_not_hotdog PRIVATE ${BUILD_FLAGS} -lquadspi -w)
-set_target_properties(hotdog_not_hotdog PROPERTIES OUTPUT_NAME hotdog_not_hotdog.xe)
-
-target_compile_options(hotdog_not_hotdog PRIVATE ${BUILD_FLAGS})
-
-
-#**********************
-# Additional support sources
-#**********************
-set(ADDITIONAL_C_SOURCES
- "${AIOT_SDK_PATH}/modules/tensorflow_support/qspi_flash/xcore_device_memory.c"
-)
-set(ADDITIONAL_INCLUDE_DIR "${AIOT_SDK_PATH}/modules/tensorflow_support/qspi_flash")
-
-#**********************
-# APP sources
-#**********************
-include("${AIOT_SDK_PATH}/modules/aif/ai_framework.cmake")
-
-set(INFERENCE_ENGINE_SOURCE_DIR
- "${PROJECT_SOURCE_DIR}/inference_engine/src"
-)
-
-set(INFERENCE_ENGINE_SOURCES
- ${XCORE_INTERPRETER_SOURCES}
- "${INFERENCE_ENGINE_SOURCE_DIR}/inference_engine.cc"
- "${INFERENCE_ENGINE_SOURCE_DIR}/hotdog_not_hotdog.c"
-)
-
-set(INFERENCE_ENGINE_INCLUDE_DIRS
- ${XCORE_INTERPRETER_INCLUDES}
- ${INFERENCE_ENGINE_SOURCE_DIR}
-)
-
-set(APP_SOURCES
- "${PROJECT_SOURCE_DIR}/app/main.xc"
- "${PROJECT_SOURCE_DIR}/app/main.c"
-)
-
-#**********************
-# targets
-#**********************
-target_sources(hotdog_not_hotdog
- PRIVATE ${ADDITIONAL_C_SOURCES}
- PRIVATE ${INFERENCE_ENGINE_SOURCES}
- PRIVATE ${APP_SOURCES}
-)
-
-target_include_directories(hotdog_not_hotdog
- PRIVATE ${ADDITIONAL_INCLUDE_DIR}
- PRIVATE "${INFERENCE_ENGINE_INCLUDE_DIRS}"
- PRIVATE "${CMAKE_CURRENT_SOURCE_DIR}/app/src"
-)
-
-#**********************
-# install
-#**********************
-set(INSTALL_DIR "${PROJECT_SOURCE_DIR}/bin")
-install(TARGETS hotdog_not_hotdog DESTINATION ${INSTALL_DIR})
diff --git a/examples/bare-metal/hotdog_not_hotdog/README.rst b/examples/bare-metal/hotdog_not_hotdog/README.rst
deleted file mode 100644
index 79392a5cf..000000000
--- a/examples/bare-metal/hotdog_not_hotdog/README.rst
+++ /dev/null
@@ -1,90 +0,0 @@
-################################################
-MobileNet V1 Application for Classifying Hotdogs
-################################################
-
-This example application implements a `MobileNet V1 `__ CNN architecture trained on the `ImageNet
-#include
-
-#include "inference_engine.h"
-
-// Include xCORE port functions
-#include
-#define LED_PORT XS1_PORT_4C
-
-static int input_bytes = 0;
-static int input_size;
-static unsigned char *input_buffer;
-static int output_size;
-static unsigned char *output_buffer;
-
-void print_output() {
- for (int i = 0; i < output_size; i++) {
- printf("Output index=%u, value=%i\n", i, (signed char)output_buffer[i]);
- }
- printf("DONE!\n");
-}
-
-void show_result() {
- if (output_buffer[0] > output_buffer[1]) {
- // It's a hotdog! illuminate all LEDs
- port_out(LED_PORT, 0xffff);
- } else {
- // not a hotdog :(. Turn off LEDs
- port_out(LED_PORT, 0);
- }
-}
-
-void app_main() {
- printf("Initialising app\n");
- initialize(&input_buffer, &input_size, &output_buffer, &output_size);
- port_enable(LED_PORT);
- port_out(LED_PORT, 0);
-}
-
-void app_data(void *data, size_t size) {
- memcpy(input_buffer + input_bytes, data, size - 1);
- input_bytes += size - 1;
- if (input_bytes == input_size) {
- invoke();
- print_profiler_summary();
- print_output();
- show_result();
- input_bytes = 0;
- }
-}
diff --git a/examples/bare-metal/hotdog_not_hotdog/app/main.xc b/examples/bare-metal/hotdog_not_hotdog/app/main.xc
deleted file mode 100644
index 377b4d518..000000000
--- a/examples/bare-metal/hotdog_not_hotdog/app/main.xc
+++ /dev/null
@@ -1,44 +0,0 @@
-// Copyright 2020-2021 XMOS LIMITED.
-// This Software is subject to the terms of the XMOS Public Licence: Version 1.
-
-#include
-#include
-#include
-#include
-#include
-
-extern "C" {
-void app_main();
-void app_data(void *data, size_t size);
-}
-
-unsafe {
- void process_xscope(chanend xscope_data_in) {
- int bytes_read = 0;
- unsigned char buffer[256];
-
- xscope_connect_data_from_host(xscope_data_in);
- xscope_mode_lossless();
- while (1) {
- select {
- case xscope_data_from_host(xscope_data_in, buffer, bytes_read):
- app_data(buffer, bytes_read);
- break;
- }
- }
- }
-}
-
-int main(void) {
- chan xscope_data_in;
-
- par {
- xscope_host_data(xscope_data_in);
- on tile[0] : {
- app_main();
- process_xscope(xscope_data_in);
- }
- }
-
- return 0;
-}
diff --git a/examples/bare-metal/hotdog_not_hotdog/config.xscope b/examples/bare-metal/hotdog_not_hotdog/config.xscope
deleted file mode 100644
index f79e64115..000000000
--- a/examples/bare-metal/hotdog_not_hotdog/config.xscope
+++ /dev/null
@@ -1,23 +0,0 @@
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
\ No newline at end of file
diff --git a/examples/bare-metal/hotdog_not_hotdog/inference_engine/CMakeLists.txt b/examples/bare-metal/hotdog_not_hotdog/inference_engine/CMakeLists.txt
deleted file mode 100644
index e69de29bb..000000000
diff --git a/examples/bare-metal/hotdog_not_hotdog/inference_engine/src/hotdog_not_hotdog.c b/examples/bare-metal/hotdog_not_hotdog/inference_engine/src/hotdog_not_hotdog.c
deleted file mode 100644
index 9272c0d50..000000000
--- a/examples/bare-metal/hotdog_not_hotdog/inference_engine/src/hotdog_not_hotdog.c
+++ /dev/null
@@ -1,41269 +0,0 @@
-// This is a TensorFlow Lite model file that has been converted into a C data
-// array using the convert_tflite_to_c_source() tool.
-
-#if( USE_SWMEM == 1)
-__attribute__((section(".SwMem_data")))
-#elif( USE_EXTMEM == 1)
-__attribute__((section(".ExtMem_data")))
-#endif
-const unsigned char hotdog_not_hotdog_model_data[] __attribute__((aligned(4))) = {
- 0x20, 0x00, 0x00, 0x00, 0x54, 0x46, 0x4c, 0x33, 0x00, 0x00, 0x00, 0x00, 0x00,
- 0x00, 0x12, 0x00, 0x1c, 0x00, 0x18, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0c, 0x00,
- 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x12, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00,
- 0x00, 0x48, 0x00, 0x00, 0x00, 0xcc, 0xef, 0x07, 0x00, 0xf0, 0xef, 0x07, 0x00,
- 0x04, 0x2e, 0x08, 0x00, 0x03, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0c,
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- 0x00, 0xcc, 0xc5, 0x03, 0x00, 0xfc, 0xc3, 0x03, 0x00, 0xec, 0xc1, 0x03, 0x00,
- 0x1c, 0xc0, 0x03, 0x00, 0x0c, 0xbc, 0x03, 0x00, 0x7c, 0xb8, 0x03, 0x00, 0x6c,
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- 0x03, 0x00, 0xac, 0x75, 0x03, 0x00, 0x9c, 0x6e, 0x03, 0x00, 0x8c, 0x2e, 0x03,
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- 0x4c, 0xa0, 0x02, 0x00, 0x3c, 0x99, 0x02, 0x00, 0x2c, 0x59, 0x02, 0x00, 0x1c,
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- 0xd7, 0x38, 0x16, 0x1d, 0x0c, 0x5e, 0x1b, 0xa6, 0x4e, 0x1a, 0x8b, 0x3f, 0x7f,
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- 0x00, 0x08, 0x00, 0x00, 0x00, 0x7a, 0xff, 0xff, 0xff, 0x10, 0x00, 0x00, 0x00,
- 0x44, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, 0x60, 0x00, 0x00, 0x00, 0x6c,
- 0xff, 0xff, 0xff, 0x10, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x1c, 0x00,
- 0x00, 0x00, 0x20, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x80, 0xff, 0xff,
- 0xff, 0xff, 0xff, 0xff, 0xff, 0x01, 0x00, 0x00, 0x00, 0xc1, 0xc0, 0xc0, 0x3c,
- 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0xc0, 0x40, 0x01, 0x00, 0x00, 0x00, 0x00,
- 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00, 0x58, 0x43, 0x5f, 0x63, 0x6f, 0x6e,
- 0x76, 0x32, 0x64, 0x5f, 0x73, 0x68, 0x61, 0x6c, 0x6c, 0x6f, 0x77, 0x69, 0x6e,
- 0x5f, 0x30, 0x2f, 0x6f, 0x75, 0x74, 0x70, 0x75, 0x74, 0x00, 0x00, 0x00, 0x00,
- 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x40, 0x00, 0x00, 0x00, 0x40,
- 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00,
- 0x10, 0x00, 0x0f, 0x00, 0x00, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00,
- 0x00, 0x1c, 0x00, 0x00, 0x00, 0x50, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09,
- 0x54, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x08,
- 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x18, 0x00,
- 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00, 0x20, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00,
- 0x00, 0x80, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x01, 0x00, 0x00, 0x00,
- 0x81, 0x80, 0x80, 0x3b, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x80, 0x3f, 0x01,
- 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x07, 0x00, 0x00, 0x00, 0x69, 0x6e,
- 0x70, 0x75, 0x74, 0x5f, 0x33, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00,
- 0x00, 0x80, 0x00, 0x00, 0x00, 0x80, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
- 0x06, 0x00, 0x00, 0x00, 0xb0, 0x00, 0x00, 0x00, 0x84, 0x00, 0x00, 0x00, 0x68,
- 0x00, 0x00, 0x00, 0x5c, 0x00, 0x00, 0x00, 0x2c, 0x00, 0x00, 0x00, 0x04, 0x00,
- 0x00, 0x00, 0x70, 0xff, 0xff, 0xff, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
- 0x20, 0x13, 0x00, 0x00, 0x00, 0x58, 0x43, 0x5f, 0x61, 0x76, 0x67, 0x70, 0x6f,
- 0x6f, 0x6c, 0x32, 0x64, 0x5f, 0x67, 0x6c, 0x6f, 0x62, 0x61, 0x6c, 0x00, 0x94,
- 0xff, 0xff, 0xff, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x20, 0x13, 0x00,
- 0x00, 0x00, 0x58, 0x43, 0x5f, 0x63, 0x6f, 0x6e, 0x76, 0x32, 0x64, 0x5f, 0x73,
- 0x68, 0x61, 0x6c, 0x6c, 0x6f, 0x77, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x06, 0x00,
- 0x08, 0x00, 0x07, 0x00, 0x06, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x22, 0xc8,
- 0xff, 0xff, 0xff, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x20, 0x05, 0x00,
- 0x00, 0x00, 0x58, 0x43, 0x5f, 0x66, 0x63, 0x00, 0x00, 0x00, 0xe0, 0xff, 0xff,
- 0xff, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x20, 0x0d, 0x00, 0x00, 0x00,
- 0x58, 0x43, 0x5f, 0x63, 0x6f, 0x6e, 0x76, 0x32, 0x64, 0x5f, 0x31, 0x78, 0x31,
- 0x00, 0x00, 0x00, 0x08, 0x00, 0x0c, 0x00, 0x0b, 0x00, 0x04, 0x00, 0x08, 0x00,
- 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x20, 0x13, 0x00, 0x00,
- 0x00, 0x58, 0x43, 0x5f, 0x63, 0x6f, 0x6e, 0x76, 0x32, 0x64, 0x5f, 0x64, 0x65,
- 0x70, 0x74, 0x68, 0x77, 0x69, 0x73, 0x65, 0x00,
-};
-
-const int hotdog_not_hotdog_model_data_len = 536336;
\ No newline at end of file
diff --git a/examples/bare-metal/hotdog_not_hotdog/inference_engine/src/hotdog_not_hotdog.h b/examples/bare-metal/hotdog_not_hotdog/inference_engine/src/hotdog_not_hotdog.h
deleted file mode 100644
index 613d4d02f..000000000
--- a/examples/bare-metal/hotdog_not_hotdog/inference_engine/src/hotdog_not_hotdog.h
+++ /dev/null
@@ -1,10 +0,0 @@
-// This is a TensorFlow Lite model file that has been converted into a C data
-// array using the convert_tflite_to_c_source() tool.
-
-#ifndef HOTDOG_NOT_HOTDOG_H_
-#define HOTDOG_NOT_HOTDOG_H_
-
-extern const unsigned char hotdog_not_hotdog_model_data[];
-extern const int hotdog_not_hotdog_model_data_len;
-
-#endif // HOTDOG_NOT_HOTDOG_H_
\ No newline at end of file
diff --git a/examples/bare-metal/hotdog_not_hotdog/inference_engine/src/inference_engine.h b/examples/bare-metal/hotdog_not_hotdog/inference_engine/src/inference_engine.h
deleted file mode 100644
index cf67f8304..000000000
--- a/examples/bare-metal/hotdog_not_hotdog/inference_engine/src/inference_engine.h
+++ /dev/null
@@ -1,19 +0,0 @@
-// Copyright 2020-2021 XMOS LIMITED.
-// This Software is subject to the terms of the XMOS Public Licence: Version 1.
-#ifndef INFERENCE_ENGINE_H_
-#define INFERENCE_ENGINE_H_
-
-#ifdef __cplusplus
-extern "C" {
-#endif
-
-void initialize(unsigned char **input, int *input_size, unsigned char **output,
- int *output_size);
-void invoke();
-void print_profiler_summary();
-
-#ifdef __cplusplus
-};
-#endif
-
-#endif // INFERENCE_ENGINE_H_
diff --git a/examples/bare-metal/hotdog_not_hotdog/model/model_quant.tflite b/examples/bare-metal/hotdog_not_hotdog/model/model_quant.tflite
deleted file mode 100644
index dc9dfac90..000000000
Binary files a/examples/bare-metal/hotdog_not_hotdog/model/model_quant.tflite and /dev/null differ
diff --git a/examples/bare-metal/hotdog_not_hotdog/test_image.py b/examples/bare-metal/hotdog_not_hotdog/test_image.py
deleted file mode 100755
index 49672faa2..000000000
--- a/examples/bare-metal/hotdog_not_hotdog/test_image.py
+++ /dev/null
@@ -1,138 +0,0 @@
-#!/usr/bin/env python
-# Copyright 2020-2021 XMOS LIMITED.
-# This Software is subject to the terms of the XMOS Public Licence: Version 1.
-
-import sys
-import os
-import time
-import struct
-import ctypes
-
-import numpy as np
-from matplotlib import pyplot
-from PIL import Image
-
-CHUCK_SIZE = 128
-BATCH_RUN = 0 # Set to 1 if this script is run as part of a batch job
-
-IMAGE_SHAPE = (128, 128)
-INPUT_SHAPE = IMAGE_SHAPE + (3,)
-INPUT_SCALE = 0.003921568859368563
-INPUT_ZERO_POINT = -128
-NORM_SCALE = 127.5
-NORM_SHIFT = 1
-
-OUTPUT_SCALE = 1 / 256
-OUTPUT_ZERO_POINT = -128
-
-OBJECT_CLASSES = [
- "hotdog",
- "not_hotdog",
-]
-
-
-PRINT_CALLBACK = ctypes.CFUNCTYPE(
- None, ctypes.c_ulonglong, ctypes.c_uint, ctypes.c_char_p
-)
-
-
-class Endpoint(object):
- def __init__(self):
- tool_path = os.environ.get("XMOS_TOOL_PATH")
- lib_path = os.path.join(tool_path, "lib", "xscope_endpoint.so")
- self.lib_xscope = ctypes.CDLL(lib_path)
-
- self.ready = True
- self.lines = []
-
- self._print_cb = self._print_callback_func()
- self.lib_xscope.xscope_ep_set_print_cb(self._print_cb)
-
- def _print_callback_func(self):
- def func(timestamp, length, data):
- self.on_print(timestamp, data[0:length])
-
- return PRINT_CALLBACK(func)
-
- def on_print(self, timestamp, data):
- msg = data.decode().rstrip()
-
- if msg == "DONE!":
- self.ready = True
- else:
- self.lines.append(msg)
-
- def connect(self, hostname="localhost", port="10234"):
- return self.lib_xscope.xscope_ep_connect(hostname.encode(), port.encode())
-
- def disconnect(self):
- self.lib_xscope.xscope_ep_disconnect()
-
- def publish(self, data):
- self.ready = False
-
- return self.lib_xscope.xscope_ep_request_upload(
- ctypes.c_uint(len(data) + 1), ctypes.c_char_p(data)
- )
-
-
-from tflite2xcore.utils import quantize, dequantize
-
-ep = Endpoint()
-raw_img = None
-
-try:
- if ep.connect():
- print("Failed to connect")
- else:
- image_file_path = sys.argv[1]
- print("Connnected")
- print("Running inference on image " + image_file_path)
- # Some png files have RGBA format. convert to RGB to be on the safe side
- img = Image.open(image_file_path).convert("RGB")
- img = img.resize(IMAGE_SHAPE)
-
- img_array = np.array(img).astype(np.float32)
- # Normalize to range 0..1. Needed for quantize function
- img_array = (img_array - img_array.min()) / img_array.ptp()
-
- img_array = quantize(img_array, INPUT_SCALE, INPUT_ZERO_POINT)
- raw_img = img_array.flatten().tobytes()
-
- for i in range(0, len(raw_img), CHUCK_SIZE):
- retval = ep.publish(raw_img[i : i + CHUCK_SIZE])
-
- while not ep.ready:
- pass
-
-
-except KeyboardInterrupt:
- pass
-
-ep.disconnect()
-print("\n".join(ep.lines))
-
-
-if raw_img is not None:
- max_value = -128
- max_value_index = 0
- for line in ep.lines:
- if line.startswith("Output index"):
- fields = line.split(",")
- index = int(fields[0].split("=")[1])
- value = int(fields[1].split("=")[1])
- if value >= max_value:
- max_value = value
- max_value_index = index
- print()
- prob = (max_value - OUTPUT_ZERO_POINT) * OUTPUT_SCALE * 100.0
- print(OBJECT_CLASSES[max_value_index], f"{prob:0.2f}%")
-
- np_img = np.frombuffer(raw_img, dtype=np.int8).reshape(INPUT_SHAPE)
- np_img = np.round(
- (dequantize(np_img, INPUT_SCALE, INPUT_ZERO_POINT) + NORM_SHIFT) * NORM_SCALE
- ).astype(np.uint8)
- if not BATCH_RUN:
- # Show the image how it was processed by the model
- pyplot.imshow(np_img)
- pyplot.show()
diff --git a/examples/bare-metal/micro_speech/CMakeLists.txt b/examples/bare-metal/micro_speech/CMakeLists.txt
deleted file mode 100644
index 6f2218c71..000000000
--- a/examples/bare-metal/micro_speech/CMakeLists.txt
+++ /dev/null
@@ -1,206 +0,0 @@
-cmake_minimum_required(VERSION 3.14)
-
-set(AIOT_SDK_PATH $ENV{XMOS_AIOT_SDK_PATH})
-
-#**********************
-# Setup XMOS toolchain
-#**********************
-include("${AIOT_SDK_PATH}/tools/cmake_utils/xmos_toolchain.cmake")
-
-#**********************
-# Project
-#**********************
-# Disable in-source build.
-if("${CMAKE_SOURCE_DIR}" STREQUAL "${CMAKE_BINARY_DIR}")
- message(FATAL_ERROR "In-source build is not allowed! Please specify a build folder.\n\tex:cmake -B build")
-endif()
-
-project(micro_speech VERSION 1.0.0 )
-
-enable_language(CXX XC C ASM)
-
-#**********************
-# Paths
-#**********************
-
-set(KISS_FFT_INCLUDE_DIR "${PROJECT_SOURCE_DIR}/kissfft")
-
-set(RTOS_SUPPORT_DIR "${AIOT_SDK_PATH}/modules")
-
-set(LIB_DSP_INCLUDE_DIR "${RTOS_SUPPORT_DIR}/lib_dsp/lib_dsp/api")
-set(LIB_MIC_ARRAY_INCLUDE_DIR "${RTOS_SUPPORT_DIR}/legacy_compat/lib_mic_array/lib_mic_array/api")
-
-set(LIB_DSP_SOURCE_DIR "${RTOS_SUPPORT_DIR}/lib_dsp/lib_dsp/src")
-set(LIB_MIC_ARRAY_SOURCE_DIR "${RTOS_SUPPORT_DIR}/legacy_compat/lib_mic_array")
-
-#**********************
-# Build flags
-#**********************
-add_executable(micro_speech)
-add_executable(micro_speech_test)
-
-# Optimization
-# -DNDEBUG # define this to remove debug and profiling
-# -DTF_LITE_STRIP_ERROR_STRINGS # define this to remove logging
-
-if(DEFINED BOARD)
- set(BOARD_FLAG "${CMAKE_SOURCE_DIR}/board_support/${BOARD}.xn")
-else()
- message(FATAL_ERROR "\n-DBOARD must be specified.")
-endif()
-
-set(BUILD_FLAGS
-${BOARD_FLAG}
-"-mcmodel=large"
-"-Wno-xcore-fptrgroup"
-"-Wno-unknown-pragmas"
-"-report"
-"-DTF_LITE_STATIC_MEMORY"
-"-DXCORE"
-"-DMIC_DUAL_ENABLED=1"
-"-Os"
-)
-
-target_link_options(micro_speech PRIVATE ${BUILD_FLAGS} -lquadspi)
-set_target_properties(micro_speech PROPERTIES OUTPUT_NAME micro_speech.xe)
-target_compile_options(micro_speech PRIVATE ${BUILD_FLAGS})
-
-target_link_options(micro_speech_test PRIVATE ${BUILD_FLAGS} -lquadspi)
-set_target_properties(micro_speech_test PROPERTIES OUTPUT_NAME micro_speech_test.xe)
-target_compile_options(micro_speech_test PRIVATE ${BUILD_FLAGS})
-
-#**********************
-# kiss_fft sources
-#**********************
-set(KISS_FFT_SOURCES
- "${PROJECT_SOURCE_DIR}/kissfft/kiss_fft.c"
- "${PROJECT_SOURCE_DIR}/kissfft/tools/kiss_fftr.c"
-)
-
-#**********************
-# micro_features sources
-#**********************
-
-include("${AIOT_SDK_PATH}/modules/aif/ai_framework.cmake")
-
-set(MICRO_FEATURES_SOURCES
- "${TENSORFLOW_SOURCE_DIR}/tensorflow/lite/experimental/microfrontend/lib/fft.cc"
- "${TENSORFLOW_SOURCE_DIR}/tensorflow/lite/experimental/microfrontend/lib/fft_util.cc"
- "${TENSORFLOW_SOURCE_DIR}/tensorflow/lite/experimental/microfrontend/lib/filterbank.c"
- "${TENSORFLOW_SOURCE_DIR}/tensorflow/lite/experimental/microfrontend/lib/filterbank_util.c"
- "${TENSORFLOW_SOURCE_DIR}/tensorflow/lite/experimental/microfrontend/lib/frontend.c"
- "${TENSORFLOW_SOURCE_DIR}/tensorflow/lite/experimental/microfrontend/lib/frontend_util.c"
- "${TENSORFLOW_SOURCE_DIR}/tensorflow/lite/experimental/microfrontend/lib/log_lut.c"
- "${TENSORFLOW_SOURCE_DIR}/tensorflow/lite/experimental/microfrontend/lib/log_scale.c"
- "${TENSORFLOW_SOURCE_DIR}/tensorflow/lite/experimental/microfrontend/lib/log_scale_util.c"
- "${TENSORFLOW_SOURCE_DIR}/tensorflow/lite/experimental/microfrontend/lib/noise_reduction.c"
- "${TENSORFLOW_SOURCE_DIR}/tensorflow/lite/experimental/microfrontend/lib/noise_reduction_util.c"
- "${TENSORFLOW_SOURCE_DIR}/tensorflow/lite/experimental/microfrontend/lib/pcan_gain_control.c"
- "${TENSORFLOW_SOURCE_DIR}/tensorflow/lite/experimental/microfrontend/lib/pcan_gain_control_util.c"
- "${TENSORFLOW_SOURCE_DIR}/tensorflow/lite/experimental/microfrontend/lib/window.c"
- "${TENSORFLOW_SOURCE_DIR}/tensorflow/lite/experimental/microfrontend/lib/window_util.c"
-)
-
-#**********************
-# lib_dsp sources
-#**********************
-set(LIB_DSP_SOURCES
- ""
-)
-
-#**********************
-# lib_mic_array sources
-#**********************
-set(LIB_MIC_ARRAY_SOURCES
- "${LIB_MIC_ARRAY_SOURCE_DIR}/lib_mic_array/src/mic_array_dual.xc"
- "${LIB_MIC_ARRAY_SOURCE_DIR}/lib_mic_array/src/fir/fir_coefs_dual.xc"
- "${LIB_MIC_ARRAY_SOURCE_DIR}/lib_mic_array/src/fir/fir_coefs.xc"
-)
-
-#**********************
-# Additional support sources
-#**********************
-set(ADDITIONAL_C_SOURCES
- "${AIOT_SDK_PATH}/modules/tensorflow_support/qspi_flash/xcore_device_memory.c"
-)
-set(ADDITIONAL_INCLUDE_DIR "${AIOT_SDK_PATH}/modules/tensorflow_support/qspi_flash")
-
-#**********************
-# APP sources
-#**********************
-
-set(APP_SOURCES
- "${TENSORFLOW_SOURCE_DIR}/tensorflow/lite/micro/examples/micro_speech/feature_provider.cc"
- "${TENSORFLOW_SOURCE_DIR}/tensorflow/lite/micro/examples/micro_speech/recognize_commands.cc"
- "${TENSORFLOW_SOURCE_DIR}/tensorflow/lite/micro/examples/micro_speech/micro_features/micro_features_generator.cc"
- "${TENSORFLOW_SOURCE_DIR}/tensorflow/lite/micro/examples/micro_speech/micro_features/micro_model_settings.cc"
- "${PROJECT_SOURCE_DIR}/app/audio_provider.cc"
- "${PROJECT_SOURCE_DIR}/app/command_responder.cc"
- "${PROJECT_SOURCE_DIR}/app/fifo.c"
- "${PROJECT_SOURCE_DIR}/app/main_functions.cc"
- "${PROJECT_SOURCE_DIR}/app/microspeech_xcore_support.c"
- "${PROJECT_SOURCE_DIR}/model/model.cc"
- "${PROJECT_SOURCE_DIR}/main.cc"
- "${PROJECT_SOURCE_DIR}/main.xc"
-)
-
-#*************************************************
-# Test sources
-#*************************************************
-set(TEST_SOURCES
- "${TENSORFLOW_SOURCE_DIR}/tensorflow/lite/micro/system_setup.cc"
- "${TENSORFLOW_SOURCE_DIR}/tensorflow/lite/micro/examples/micro_speech/micro_features/no_micro_features_data.cc"
- "${TENSORFLOW_SOURCE_DIR}/tensorflow/lite/micro/examples/micro_speech/micro_features/yes_micro_features_data.cc"
- "${TENSORFLOW_SOURCE_DIR}/tensorflow/lite/micro/examples/micro_speech/micro_features/micro_model_settings.cc"
- "${PROJECT_SOURCE_DIR}/model/model.cc"
- "${PROJECT_SOURCE_DIR}/test/micro_speech_test.cc"
-)
-
-#**********************
-# targets
-#**********************
-set(COMMON_TARGET_SOURCES
- ${ADDITIONAL_C_SOURCES}
- ${XCORE_INTERPRETER_SOURCES}
-)
-
-target_sources(micro_speech
- PRIVATE ${COMMON_TARGET_SOURCES}
- PRIVATE ${KISS_FFT_SOURCES}
- PRIVATE ${MICRO_FEATURES_SOURCES}
- PRIVATE ${LIB_DSP_SOURCES}
- PRIVATE ${LIB_MIC_ARRAY_SOURCES}
- PRIVATE ${APP_SOURCES}
-)
-
-target_sources(micro_speech_test
- PRIVATE ${COMMON_TARGET_SOURCES}
- PRIVATE ${TEST_SOURCES}
-)
-
-set(COMMON_TARGET_INCLUDES
- ${ADDITIONAL_INCLUDE_DIR}
- ${XCORE_INTERPRETER_INCLUDES}
- ${KISS_FFT_INCLUDE_DIR}
- ${LIB_DSP_INCLUDE_DIR}
- ${LIB_MIC_ARRAY_INCLUDE_DIR}
- "${LIB_MIC_ARRAY_SOURCE_DIR}/lib_mic_array/src/fir"
- "${TENSORFLOW_SOURCE_DIR}/tensorflow/lite/micro/examples/micro_speech"
- "${TENSORFLOW_SOURCE_DIR}/tensorflow/lite/experimental/microfrontend/lib"
- "${PROJECT_SOURCE_DIR}/model"
- "${PROJECT_SOURCE_DIR}/app"
-)
-
-target_include_directories(micro_speech
- PRIVATE ${COMMON_TARGET_INCLUDES}
-)
-
-target_include_directories(micro_speech_test
- PRIVATE ${COMMON_TARGET_INCLUDES}
-)
-
-#**********************
-# install
-#**********************
-set(INSTALL_DIR "${PROJECT_SOURCE_DIR}/bin/${BOARD}")
-install(TARGETS micro_speech micro_speech_test DESTINATION ${INSTALL_DIR})
diff --git a/examples/bare-metal/micro_speech/README.rst b/examples/bare-metal/micro_speech/README.rst
deleted file mode 100644
index a8263f316..000000000
--- a/examples/bare-metal/micro_speech/README.rst
+++ /dev/null
@@ -1,102 +0,0 @@
-############
-Micro Speech
-############
-
-This example application is the `micro_speech `__ example from TensorFlow Lite for Microcontrollers.
-
-****************
-Supported Boards
-****************
-
-This example is supported on the XCORE-AI-EXPLORER and OSPREY-BOARD boards.
-Set the $TARGET environment variable to the board that you are using. For example:
-
-.. code-block:: console
-
- $ export TARGET=XCORE-AI-EXPLORER
-
-or
-
-.. code-block:: console
-
- $ export TARGET=OSPREY-BOARD
-
-The build and run commands shown below will then pick up the correct target automatically.
-
-.. note::
-
- The external DDR memory options are only available on the XCORE-AI-EXPLORER board.
-
-*********************
-Building the firmware
-*********************
-
-Make a directory for the build.
-
-.. code-block:: console
-
- $ mkdir build
- $ cd build
-
-Run cmake.
-
-.. code-block:: console
-
- $ cmake ../ -DBOARD=$TARGET
- $ make
-
-To install, run:
-
-.. code-block:: console
-
- $ make install
-
-Running the firmware
-====================
-
-Run the following command:
-
-.. code-block:: console
-
- $ xrun --io bin/$TARGET/micro_speech.xe
-
-You should notice console output, which will update based on the model result.
-
-.. code-block:: console
-
- Heard silence (204) @368ms
- Heard silence (167) @544ms
- Heard no (162) @6864ms
-
-Running the test firmware
-=========================
-
-The test application loads model input features that are defined in static arrays. One feature array is provided for "yes", and another for "no". See,
-
-.. code-block:: cpp
-
- #include "tensorflow/lite/micro/examples/micro_speech/micro_features/no_micro_features_data.h"
- #include "tensorflow/lite/micro/examples/micro_speech/micro_features/yes_micro_features_data.h"
-
-Run the following command:
-
-.. code-block:: console
-
- $ xrun --io bin/$TARGET/micro_speech_test.xe
-
-You should notice console output
-
-.. code-block:: console
-
- Testing TestInvoke
- Ran successfully
-
- 1/1 tests passed
- ~~~ALL TESTS PASSED~~~
-
-******************
-Training the model
-******************
-
-You may wish to retrain this model. This should rarely be necessary. However, if you would like to learn more about how this model is trained, see: https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/micro/examples/micro_speech/train
-
diff --git a/examples/bare-metal/micro_speech/app/audio_provider.cc b/examples/bare-metal/micro_speech/app/audio_provider.cc
deleted file mode 100644
index 054e30e45..000000000
--- a/examples/bare-metal/micro_speech/app/audio_provider.cc
+++ /dev/null
@@ -1,107 +0,0 @@
-/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.
-
-Licensed under the Apache License, Version 2.0 (the "License");
-you may not use this file except in compliance with the License.
-You may obtain a copy of the License at
-
- http://www.apache.org/licenses/LICENSE-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
-==============================================================================*/
-
-#include "tensorflow/lite/micro/examples/micro_speech/audio_provider.h"
-#include "tensorflow/lite/micro/examples/micro_speech/micro_features/micro_model_settings.h"
-
-#include
-#include
-
-extern "C" {
-#include "fifo.h"
-#include "microspeech_xcore_support.h"
-#include "mic_array_conf.h"
-#include "dsp_qformat.h"
-}
-namespace {
-volatile int32_t g_latest_audio_timestamp = 0;
-
-/* Hold 80ms of samples */
-#define FRAMES_TO_HOLD 5
-#define SAMPLES_PER_FRAME (1<sample_buffer;
- this_fifo = (fifo_t*)device->sample_fifo;
-
- return kTfLiteOk;
-}
-
-TfLiteStatus GetAudioSamples(tflite::ErrorReporter* error_reporter,
- int start_ms, int duration_ms,
- int* audio_samples_size, int16_t** audio_samples) {
- if (!g_is_audio_initialized) {
- TfLiteStatus init_status = InitAudioRecording(error_reporter);
- if (init_status != kTfLiteOk) {
- return init_status;
- }
- g_is_audio_initialized = true;
- }
-
- const int start_offset = start_ms * (kAudioSampleFrequency / 1000);
- const int duration_sample_count = duration_ms * (kAudioSampleFrequency / 1000);
-
- for (int i = 0; i>16);
- }
-
- write_cnt++;
- if (write_cnt >= FRAMES_TO_HOLD) {
- write_cnt = 0;
- }
-
- g_latest_audio_timestamp += increment;
- }
-}
-}
diff --git a/examples/bare-metal/micro_speech/app/command_responder.cc b/examples/bare-metal/micro_speech/app/command_responder.cc
deleted file mode 100644
index 1d5095c6a..000000000
--- a/examples/bare-metal/micro_speech/app/command_responder.cc
+++ /dev/null
@@ -1,57 +0,0 @@
-/* Copyright 2019 The TensorFlow Authors. All Rights Reserved.
-
-Licensed under the Apache License, Version 2.0 (the "License");
-you may not use this file except in compliance with the License.
-You may obtain a copy of the License at
-
- http://www.apache.org/licenses/LICENSE-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
-==============================================================================*/
-
-#include "tensorflow/lite/micro/examples/micro_speech/command_responder.h"
-
-extern "C" {
-#include "microspeech_xcore_support.h"
-}
-
-static int32_t data = 0x0000;
-
-// The default implementation writes out the name of the recognized command
-// to the error console. Real applications will want to take some custom
-// action instead, and should implement their own versions of this function.
-void RespondToCommand(tflite::ErrorReporter* error_reporter,
- int32_t current_time, const char* found_command,
- uint8_t score, bool is_new_command) {
- if (is_new_command) {
- TF_LITE_REPORT_ERROR(error_reporter, "Heard %s (%d) @%dms", found_command,
- score, current_time);
- switch (found_command[0]) {
- case 'y':
- data = 0x0008;
- break;
- case 'n':
- data = 0x0004;
- break;
- case 'u':
- data = 0x0002;
- break;
- case 's':
- data = 0x0001;
- break;
- default:
- data = 0x0000;
- break;
- }
- }
-}
-
-extern "C" {
-int32_t get_led_status() {
- return data;
-}
-}
diff --git a/examples/bare-metal/micro_speech/app/fifo.c b/examples/bare-metal/micro_speech/app/fifo.c
deleted file mode 100644
index d6c26e17a..000000000
--- a/examples/bare-metal/micro_speech/app/fifo.c
+++ /dev/null
@@ -1,97 +0,0 @@
-// Copyright 2019-2021 XMOS LIMITED.
-// This Software is subject to the terms of the XMOS Public Licence: Version 1.
-
-#include "fifo.h"
-
-#include
-
-size_t fifo_level(fifo_t fifo)
-{
- return fifo->total_written - fifo->total_read;
-}
-
-int fifo_full(fifo_t fifo)
-{
- return fifo_level(fifo) >= fifo->buffer_length;
-}
-
-int fifo_empty(fifo_t fifo)
-{
- return fifo_level(fifo) == 0;
-}
-
-int fifo_ready(fifo_t fifo)
-{
- return fifo->ready;
-}
-
-int fifo_put(fifo_t fifo, void *element)
-{
- unsigned tmp_head = fifo->head;
-
- if (!fifo_full(fifo)) {
-
- memcpy(fifo->buffer + tmp_head, element, fifo->element_size);
-
- tmp_head += fifo->element_size;
-
- if (tmp_head >= fifo->buffer_length) {
- fifo->head = 0;
- } else {
- fifo->head = tmp_head;
- }
-
- fifo->total_written += fifo->element_size;
-
- if (!fifo->ready && fifo_level(fifo) >= fifo->ready_level) {
- fifo->ready = 1;
- }
-
- return 0;
- } else {
- return -1;
- }
-}
-
-void fifo_put_blocking(fifo_t fifo, void *element)
-{
- while (fifo_full(fifo));
-
- (void) fifo_put(fifo, element);
-}
-
-int fifo_get(fifo_t fifo, void *element)
-{
- unsigned tmp_tail = fifo->tail;
-
- if (fifo_ready(fifo)) {
- memcpy(element, fifo->buffer + tmp_tail, fifo->element_size);
-
- tmp_tail += fifo->element_size;
-
- if (tmp_tail >= fifo->buffer_length) {
- fifo->tail = 0;
- } else {
- fifo->tail = tmp_tail;
- }
-
- fifo->total_read += fifo->element_size;
-
- if (fifo_level(fifo) == 0) {
- fifo->ready = 0;
- }
-
- return 0;
- } else {
- memset(element, 0, fifo->element_size);
-
- return -1;
- }
-}
-
-void fifo_get_blocking(fifo_t fifo, void *element)
-{
- while (!fifo_ready(fifo));
-
- (void) fifo_get(fifo, element);
-}
diff --git a/examples/bare-metal/micro_speech/app/fifo.h b/examples/bare-metal/micro_speech/app/fifo.h
deleted file mode 100644
index 51e749de8..000000000
--- a/examples/bare-metal/micro_speech/app/fifo.h
+++ /dev/null
@@ -1,71 +0,0 @@
-// Copyright 2019-2021 XMOS LIMITED.
-// This Software is subject to the terms of the XMOS Public Licence: Version 1.
-
-#ifndef FIFO_H_
-#define FIFO_H_
-
-#include
-#include
-
-#ifdef __XC__
-extern "C" {
-#endif //__XC__
-
-#ifdef __XC__
-/*
- * can't use the volatile keyword
- * in the xC definition of the struct
- * below. This is fine since only the
- * C code in fifo.c requires that the
- * members be volatile.
- */
-#define volatile
-#endif
-
-struct fifo {
- uint8_t * const buffer;
- const size_t buffer_length; // in bytes
- const size_t element_size; // in bytes
- const size_t ready_level; // in bytes
- volatile int ready;
- volatile size_t total_read; // in bytes
- volatile size_t total_written; // in bytes
- unsigned head;
- unsigned tail;
-};
-
-typedef struct fifo * fifo_t;
-
-#ifdef __XC__
-#undef volatile
-#endif
-
-#define fifo_init(fptr, buf_len, el_sz, rdy_lvl) \
-uint8_t fptr##_buf[(buf_len)*(el_sz)] = {0}; \
-struct fifo fptr##_f = { \
- (fptr##_buf), \
- (buf_len)*(el_sz), \
- (el_sz), \
- (rdy_lvl)*(el_sz), \
- 0, \
- 0, \
- 0, \
- 0, \
- 0}; \
-fptr = &fptr##_f;
-
-
-size_t fifo_level(fifo_t fifo);
-int fifo_full(fifo_t fifo);
-int fifo_empty(fifo_t fifo);
-int fifo_ready(fifo_t fifo);
-int fifo_put(fifo_t fifo, void *element);
-void fifo_put_blocking(fifo_t fifo, void *element);
-int fifo_get(fifo_t fifo, void *element);
-void fifo_get_blocking(fifo_t fifo, void *element);
-
-#ifdef __XC__
-}
-#endif //__XC__
-
-#endif /* FIFO_H_ */
diff --git a/examples/bare-metal/micro_speech/app/main_functions.cc b/examples/bare-metal/micro_speech/app/main_functions.cc
deleted file mode 100644
index e3e13c44a..000000000
--- a/examples/bare-metal/micro_speech/app/main_functions.cc
+++ /dev/null
@@ -1,178 +0,0 @@
-/* Copyright 2020 The TensorFlow Authors. All Rights Reserved.
-
-Licensed under the Apache License, Version 2.0 (the "License");
-you may not use this file except in compliance with the License.
-You may obtain a copy of the License at
-
- http://www.apache.org/licenses/LICENSE-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
-==============================================================================*/
-
-#include "tensorflow/lite/micro/examples/micro_speech/main_functions.h"
-
-#include "tensorflow/lite/micro/examples/micro_speech/audio_provider.h"
-#include "tensorflow/lite/micro/examples/micro_speech/command_responder.h"
-#include "tensorflow/lite/micro/examples/micro_speech/feature_provider.h"
-#include "tensorflow/lite/micro/examples/micro_speech/micro_features/micro_model_settings.h"
-#include "tensorflow/lite/micro/examples/micro_speech/micro_features/model.h"
-#include "tensorflow/lite/micro/examples/micro_speech/recognize_commands.h"
-#include "tensorflow/lite/micro/kernels/xcore/xcore_interpreter.h"
-#include "tensorflow/lite/micro/kernels/xcore/xcore_ops.h"
-#include "tensorflow/lite/micro/micro_error_reporter.h"
-#include "tensorflow/lite/micro/micro_mutable_op_resolver.h"
-#include "tensorflow/lite/schema/schema_generated.h"
-#include "tensorflow/lite/version.h"
-
-// Globals, used for compatibility with Arduino-style sketches.
-namespace {
-tflite::ErrorReporter* error_reporter = nullptr;
-const tflite::Model* model = nullptr;
-tflite::MicroInterpreter* interpreter = nullptr;
-TfLiteTensor* model_input = nullptr;
-FeatureProvider* feature_provider = nullptr;
-RecognizeCommands* recognizer = nullptr;
-int32_t previous_time = 0;
-
-// Create an area of memory to use for input, output, and intermediate arrays.
-// The size of this will depend on the model you're using, and may need to be
-// determined by experimentation.
-constexpr int kTensorArenaSize = 10 * 1024;
-uint8_t tensor_arena[kTensorArenaSize];
-int8_t feature_buffer[kFeatureElementCount];
-int8_t* model_input_buffer = nullptr;
-} // namespace
-
-// The name of this function is important for Arduino compatibility.
-void setup() {
- // Set up logging. Google style is to avoid globals or statics because of
- // lifetime uncertainty, but since this has a trivial destructor it's okay.
- // NOLINTNEXTLINE(runtime-global-variables)
- static tflite::MicroErrorReporter micro_error_reporter;
- error_reporter = µ_error_reporter;
-
- // Map the model into a usable data structure. This doesn't involve any
- // copying or parsing, it's a very lightweight operation.
- model = tflite::GetModel(g_model);
- if (model->version() != TFLITE_SCHEMA_VERSION) {
- TF_LITE_REPORT_ERROR(error_reporter,
- "Model provided is schema version %d not equal "
- "to supported version %d.",
- model->version(), TFLITE_SCHEMA_VERSION);
- return;
- }
-
- // Pull in only the operation implementations we need.
- // This relies on a complete list of all the ops needed by this graph.
- // An easier approach is to just use the AllOpsResolver, but this will
- // incur some penalty in code space for op implementations that are not
- // needed by this graph.
- //
- // tflite::AllOpsResolver resolver;
- // NOLINTNEXTLINE(runtime-global-variables)
- static tflite::MicroMutableOpResolver<4> micro_op_resolver(error_reporter);
-
- if (micro_op_resolver.AddDepthwiseConv2D() != kTfLiteOk) {
- return;
- }
- if (micro_op_resolver.AddFullyConnected() != kTfLiteOk) {
- return;
- }
- if (micro_op_resolver.AddSoftmax() != kTfLiteOk) {
- return;
- }
- if (micro_op_resolver.AddReshape() != kTfLiteOk) {
- return;
- }
-
- // Build an interpreter to run the model with.
- static tflite::micro::xcore::XCoreInterpreter static_interpreter(
- model, micro_op_resolver, tensor_arena, kTensorArenaSize, error_reporter);
- interpreter = &static_interpreter;
-
- // Allocate memory from the tensor_arena for the model's tensors.
- TfLiteStatus allocate_status = interpreter->AllocateTensors();
- if (allocate_status != kTfLiteOk) {
- TF_LITE_REPORT_ERROR(error_reporter, "AllocateTensors() failed");
- return;
- }
-
- // Get information about the memory area to use for the model's input.
- model_input = interpreter->input(0);
- if ((model_input->dims->size != 2) || (model_input->dims->data[0] != 1) ||
- (model_input->dims->data[1] !=
- (kFeatureSliceCount * kFeatureSliceSize)) ||
- (model_input->type != kTfLiteInt8)) {
- TF_LITE_REPORT_ERROR(error_reporter,
- "Bad input tensor parameters in model");
- return;
- }
- model_input_buffer = model_input->data.int8;
-
- // Prepare to access the audio spectrograms from a microphone or other source
- // that will provide the inputs to the neural network.
- // NOLINTNEXTLINE(runtime-global-variables)
- static FeatureProvider static_feature_provider(kFeatureElementCount,
- feature_buffer);
- feature_provider = &static_feature_provider;
-
- static RecognizeCommands static_recognizer(error_reporter, 1000, 150, 2000,
- 3);
- recognizer = &static_recognizer;
-
- previous_time = 0;
-}
-
-// The name of this function is important for Arduino compatibility.
-void loop() {
- // Fetch the spectrogram for the current time.
- const int32_t current_time = LatestAudioTimestamp();
- int how_many_new_slices = 0;
- TfLiteStatus feature_status = feature_provider->PopulateFeatureData(
- error_reporter, previous_time, current_time, &how_many_new_slices);
- if (feature_status != kTfLiteOk) {
- TF_LITE_REPORT_ERROR(error_reporter, "Feature generation failed");
- return;
- }
- previous_time = current_time;
- // If no new audio samples have been received since last time, don't bother
- // running the network model.
- if (how_many_new_slices == 0) {
- return;
- }
-
- // Copy feature buffer to input tensor
- for (int i = 0; i < kFeatureElementCount; i++) {
- model_input_buffer[i] = feature_buffer[i];
- }
-
- // Run the model on the spectrogram input and make sure it succeeds.
- TfLiteStatus invoke_status = interpreter->Invoke();
- if (invoke_status != kTfLiteOk) {
- TF_LITE_REPORT_ERROR(error_reporter, "Invoke failed");
- return;
- }
-
- // Obtain a pointer to the output tensor
- TfLiteTensor* output = interpreter->output(0);
- // Determine whether a command was recognized based on the output of inference
- const char* found_command = nullptr;
- uint8_t score = 0;
- bool is_new_command = false;
- TfLiteStatus process_status = recognizer->ProcessLatestResults(
- output, current_time, &found_command, &score, &is_new_command);
- if (process_status != kTfLiteOk) {
- TF_LITE_REPORT_ERROR(error_reporter,
- "RecognizeCommands::ProcessLatestResults() failed");
- return;
- }
- // Do something based on the recognized command. The default implementation
- // just prints to the error console, but you should replace this with your
- // own function for a real application.
- RespondToCommand(error_reporter, current_time, found_command, score,
- is_new_command);
-}
diff --git a/examples/bare-metal/micro_speech/app/main_support.h b/examples/bare-metal/micro_speech/app/main_support.h
deleted file mode 100644
index 060952769..000000000
--- a/examples/bare-metal/micro_speech/app/main_support.h
+++ /dev/null
@@ -1,15 +0,0 @@
-// Copyright 2021 XMOS LIMITED.
-// This Software is subject to the terms of the XMOS Public Licence: Version 1.
-
-#ifndef MAIN_SUPPORT_H_
-#define MAIN_SUPPORT_H_
-
-#ifdef __cplusplus
-extern "C" {
-#endif
-int tf_main();
-#ifdef __cplusplus
-}
-#endif
-
-#endif /* MAIN_SUPPORT_H_ */
diff --git a/examples/bare-metal/micro_speech/app/mic_array_conf.h b/examples/bare-metal/micro_speech/app/mic_array_conf.h
deleted file mode 100644
index 0e7b76955..000000000
--- a/examples/bare-metal/micro_speech/app/mic_array_conf.h
+++ /dev/null
@@ -1,12 +0,0 @@
-// Copyright 2020-2021 XMOS LIMITED.
-// This Software is subject to the terms of the XMOS Public Licence: Version 1.
-
-#ifndef MIC_ARRAY_CONF_H_
-#define MIC_ARRAY_CONF_H_
-
-#define MIC_ARRAY_WORD_LENGTH_SHORT 0
-#define MIC_ARRAY_MAX_FRAME_SIZE_LOG2 8
-#define MIC_ARRAY_NUM_MICS 4
-#define MIC_DUAL_FRAME_SIZE (1 << MIC_ARRAY_MAX_FRAME_SIZE_LOG2)
-
-#endif /* MIC_ARRAY_CONF_H_ */
diff --git a/examples/bare-metal/micro_speech/app/microspeech_xcore_support.c b/examples/bare-metal/micro_speech/app/microspeech_xcore_support.c
deleted file mode 100644
index db29cb4f8..000000000
--- a/examples/bare-metal/micro_speech/app/microspeech_xcore_support.c
+++ /dev/null
@@ -1,94 +0,0 @@
-// Copyright 2020-2021 XMOS LIMITED.
-// This Software is subject to the terms of the XMOS Public Licence: Version 1.
-
-#include "main_support.h"
-
-// must come after main_support.h
-#include
-#include
-#include
-#include
-
-#include "fifo.h"
-#include "mic_array_conf.h"
-#include "microspeech_xcore_support.h"
-
-const port_t p_gpio_leds = XS1_PORT_4C;
-
-#define MIC_FRAME_BUFFER_COUNT 5
-static int32_t mic_samples[MIC_FRAME_BUFFER_COUNT]
- [(1 << MIC_ARRAY_MAX_FRAME_SIZE_LOG2)];
-static microspeech_device_t mic_device;
-
-static int32_t* mic_samples_ptr = NULL;
-static fifo_t* fifo_ptr = NULL;
-static microspeech_device_t* device = NULL;
-
-static fifo_t sample_fifo;
-
-static int buf_num = 0;
-
-microspeech_device_t* get_microspeech_device() { return device; }
-
-void mic_decoupler(chanend_t c_ds_output, chanend_t c_gpio) {
- fifo_init(sample_fifo, MIC_FRAME_BUFFER_COUNT - 1, sizeof(int32_t), 1);
-
- mic_samples_ptr = &mic_samples[0][0];
- fifo_ptr = &sample_fifo;
-
- mic_device.sample_fifo = fifo_ptr;
- mic_device.sample_buffer = mic_samples_ptr;
-
- device = &mic_device;
-
- TRIGGERABLE_SETUP_EVENT_VECTOR(c_ds_output, mic_data_ready);
-
- triggerable_disable_all();
- triggerable_enable_trigger(c_ds_output);
-
- for (;;) {
- TRIGGERABLE_WAIT_EVENT(mic_data_ready);
-
- mic_data_ready : {
- // on streaming chanend in;
-
- // int* unsafe mic_sample_block;
- // mic_sample_block = (int*)tmp;
-
- int* mic_sample_block = (int*)s_chan_in_word(c_ds_output);
-
- for (int i = 0; i < (1 << MIC_ARRAY_MAX_FRAME_SIZE_LOG2); i++) {
- mic_samples[buf_num][i] = mic_sample_block[4 * i];
- }
-
- fifo_put(sample_fifo, &buf_num);
- if (++buf_num == MIC_FRAME_BUFFER_COUNT) {
- buf_num = 0;
- }
- increment_timestamp(16);
-
- chan_out_word(c_gpio, get_led_status());
-
- continue;
- }
- }
-}
-
-void tile0(chanend_t c_gpio) {
- port_enable(p_gpio_leds);
-
- TRIGGERABLE_SETUP_EVENT_VECTOR(c_gpio, gpio_update);
-
- triggerable_disable_all();
- triggerable_enable_trigger(c_gpio);
-
- while (1) {
- TRIGGERABLE_WAIT_EVENT(gpio_update);
-
- gpio_update : {
- int tmp = chan_in_word(c_gpio);
- port_out(p_gpio_leds, tmp);
- continue;
- }
- }
-}
diff --git a/examples/bare-metal/micro_speech/app/microspeech_xcore_support.h b/examples/bare-metal/micro_speech/app/microspeech_xcore_support.h
deleted file mode 100644
index 574edce8b..000000000
--- a/examples/bare-metal/micro_speech/app/microspeech_xcore_support.h
+++ /dev/null
@@ -1,38 +0,0 @@
-// Copyright 2020-2021 XMOS LIMITED.
-// This Software is subject to the terms of the XMOS Public Licence: Version 1.
-
-#ifndef MICROSPEECH_XCORE_SUPPORT_H_
-#define MICROSPEECH_XCORE_SUPPORT_H_
-
-#ifdef __cplusplus
-extern "C" {
-#endif
-
-
-#if __XC__
-void mic_decoupler(streaming chanend c_ds_output, chanend c_gpio);
-void tile0(chanend c_gpio);
-#else
-#include
-
-void mic_decoupler(chanend_t c_ds_output, chanend_t c_gpio);
-void tile0(chanend_t c_gpio);
-
-#include "fifo.h"
-
-typedef struct microspeech_device {
- fifo_t* sample_fifo;
- int32_t* sample_buffer;
-} microspeech_device_t;
-
-microspeech_device_t* get_microspeech_device();
-
-void increment_timestamp(int32_t increment);
-int32_t get_led_status();
-#endif /* __XC__ */
-
-#ifdef __cplusplus
-}
-#endif
-
-#endif /* MICROSPEECH_XCORE_SUPPORT_H_ */
diff --git a/examples/bare-metal/micro_speech/board_support/OSPREY-BOARD.xn b/examples/bare-metal/micro_speech/board_support/OSPREY-BOARD.xn
deleted file mode 100644
index a8563889d..000000000
--- a/examples/bare-metal/micro_speech/board_support/OSPREY-BOARD.xn
+++ /dev/null
@@ -1,91 +0,0 @@
-
-
- Board
- Osprey QF60 processor board
-
-
- tileref tile[2]
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
diff --git a/examples/bare-metal/micro_speech/kissfft/CHANGELOG b/examples/bare-metal/micro_speech/kissfft/CHANGELOG
deleted file mode 100644
index 2dd360375..000000000
--- a/examples/bare-metal/micro_speech/kissfft/CHANGELOG
+++ /dev/null
@@ -1,123 +0,0 @@
-1.3.0 2012-07-18
- removed non-standard malloc.h from kiss_fft.h
-
- moved -lm to end of link line
-
- checked various return values
-
- converted python Numeric code to NumPy
-
- fixed test of int32_t on 64 bit OS
-
- added padding in a couple of places to allow SIMD alignment of structs
-
-1.2.9 2010-05-27
- threadsafe ( including OpenMP )
-
- first edition of kissfft.hh the C++ template fft engine
-
-1.2.8
- Changed memory.h to string.h -- apparently more standard
-
- Added openmp extensions. This can have fairly linear speedups for larger FFT sizes.
-
-1.2.7
- Shrank the real-fft memory footprint. Thanks to Galen Seitz.
-
-1.2.6 (Nov 14, 2006) The "thanks to GenArts" release.
- Added multi-dimensional real-optimized FFT, see tools/kiss_fftndr
- Thanks go to GenArts, Inc. for sponsoring the development.
-
-1.2.5 (June 27, 2006) The "release for no good reason" release.
- Changed some harmless code to make some compilers' warnings go away.
- Added some more digits to pi -- why not.
- Added kiss_fft_next_fast_size() function to help people decide how much to pad.
- Changed multidimensional test from 8 dimensions to only 3 to avoid testing
- problems with fixed point (sorry Buckaroo Banzai).
-
-1.2.4 (Oct 27, 2005) The "oops, inverse fixed point real fft was borked" release.
- Fixed scaling bug for inverse fixed point real fft -- also fixed test code that should've been failing.
- Thanks to Jean-Marc Valin for bug report.
-
- Use sys/types.h for more portable types than short,int,long => int16_t,int32_t,int64_t
- If your system does not have these, you may need to define them -- but at least it breaks in a
- loud and easily fixable way -- unlike silently using the wrong size type.
-
- Hopefully tools/psdpng.c is fixed -- thanks to Steve Kellog for pointing out the weirdness.
-
-1.2.3 (June 25, 2005) The "you want to use WHAT as a sample" release.
- Added ability to use 32 bit fixed point samples -- requires a 64 bit intermediate result, a la 'long long'
-
- Added ability to do 4 FFTs in parallel by using SSE SIMD instructions. This is accomplished by
- using the __m128 (vector of 4 floats) as kiss_fft_scalar. Define USE_SIMD to use this.
-
- I know, I know ... this is drifting a bit from the "kiss" principle, but the speed advantages
- make it worth it for some. Also recent gcc makes it SOO easy to use vectors of 4 floats like a POD type.
-
-1.2.2 (May 6, 2005) The Matthew release
- Replaced fixed point division with multiply&shift. Thanks to Jean-Marc Valin for
- discussions regarding. Considerable speedup for fixed-point.
-
- Corrected overflow protection in real fft routines when using fixed point.
- Finder's Credit goes to Robert Oschler of robodance for pointing me at the bug.
- This also led to the CHECK_OVERFLOW_OP macro.
-
-1.2.1 (April 4, 2004)
- compiles cleanly with just about every -W warning flag under the sun
-
- reorganized kiss_fft_state so it could be read-only/const. This may be useful for embedded systems
- that are willing to predeclare twiddle factors, factorization.
-
- Fixed C_MUL,S_MUL on 16-bit platforms.
-
- tmpbuf will only be allocated if input & output buffers are same
- scratchbuf will only be allocated for ffts that are not multiples of 2,3,5
-
- NOTE: The tmpbuf,scratchbuf changes may require synchronization code for multi-threaded apps.
-
-
-1.2 (Feb 23, 2004)
- interface change -- cfg object is forward declaration of struct instead of void*
- This maintains type saftey and lets the compiler warn/error about stupid mistakes.
- (prompted by suggestion from Erik de Castro Lopo)
-
- small speed improvements
-
- added psdpng.c -- sample utility that will create png spectrum "waterfalls" from an input file
- ( not terribly useful yet)
-
-1.1.1 (Feb 1, 2004 )
- minor bug fix -- only affects odd rank, in-place, multi-dimensional FFTs
-
-1.1 : (Jan 30,2004)
- split sample_code/ into test/ and tools/
-
- Removed 2-D fft and added N-D fft (arbitrary)
-
- modified fftutil.c to allow multi-d FFTs
-
- Modified core fft routine to allow an input stride via kiss_fft_stride()
- (eased support of multi-D ffts)
-
- Added fast convolution filtering (FIR filtering using overlap-scrap method, with tail scrap)
-
- Add kfc.[ch]: the KISS FFT Cache. It takes care of allocs for you ( suggested by Oscar Lesta ).
-
-1.0.1 (Dec 15, 2003)
- fixed bug that occurred when nfft==1. Thanks to Steven Johnson.
-
-1.0 : (Dec 14, 2003)
- changed kiss_fft function from using a single buffer, to two buffers.
- If the same buffer pointer is supplied for both in and out, kiss will
- manage the buffer copies.
-
- added kiss_fft2d and kiss_fftr as separate source files (declarations in kiss_fft.h )
-
-0.4 :(Nov 4,2003) optimized for radix 2,3,4,5
-
-0.3 :(Oct 28, 2003) woops, version 2 didn't actually factor out any radices other than 2.
- Thanks to Steven Johnson for finding this one.
-
-0.2 :(Oct 27, 2003) added mixed radix, only radix 2,4 optimized versions
-
-0.1 :(May 19 2003) initial release, radix 2 only
diff --git a/examples/bare-metal/micro_speech/kissfft/COPYING b/examples/bare-metal/micro_speech/kissfft/COPYING
deleted file mode 100644
index 2fc6685a6..000000000
--- a/examples/bare-metal/micro_speech/kissfft/COPYING
+++ /dev/null
@@ -1,11 +0,0 @@
-Copyright (c) 2003-2010 Mark Borgerding
-
-All rights reserved.
-
-Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
-
- * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
- * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
- * Neither the author nor the names of any contributors may be used to endorse or promote products derived from this software without specific prior written permission.
-
-THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
diff --git a/examples/bare-metal/micro_speech/kissfft/Makefile b/examples/bare-metal/micro_speech/kissfft/Makefile
deleted file mode 100644
index 96f43d3f3..000000000
--- a/examples/bare-metal/micro_speech/kissfft/Makefile
+++ /dev/null
@@ -1,33 +0,0 @@
-KFVER=130
-
-doc:
- @echo "Start by reading the README file. If you want to build and test lots of stuff, do a 'make testall'"
- @echo "but be aware that 'make testall' has dependencies that the basic kissfft software does not."
- @echo "It is generally unneeded to run these tests yourself, unless you plan on changing the inner workings"
- @echo "of kissfft and would like to make use of its regression tests."
-
-testall:
- # The simd and int32_t types may or may not work on your machine
- make -C test DATATYPE=simd CFLAGADD="$(CFLAGADD)" test
- make -C test DATATYPE=int32_t CFLAGADD="$(CFLAGADD)" test
- make -C test DATATYPE=int16_t CFLAGADD="$(CFLAGADD)" test
- make -C test DATATYPE=float CFLAGADD="$(CFLAGADD)" test
- make -C test DATATYPE=double CFLAGADD="$(CFLAGADD)" test
- echo "all tests passed"
-
-tarball: clean
- hg archive -r v$(KFVER) -t tgz kiss_fft$(KFVER).tar.gz
- hg archive -r v$(KFVER) -t zip kiss_fft$(KFVER).zip
-
-clean:
- cd test && make clean
- cd tools && make clean
- rm -f kiss_fft*.tar.gz *~ *.pyc kiss_fft*.zip
-
-asm: kiss_fft.s
-
-kiss_fft.s: kiss_fft.c kiss_fft.h _kiss_fft_guts.h
- [ -e kiss_fft.s ] && mv kiss_fft.s kiss_fft.s~ || true
- gcc -S kiss_fft.c -O3 -mtune=native -ffast-math -fomit-frame-pointer -unroll-loops -dA -fverbose-asm
- gcc -o kiss_fft_short.s -S kiss_fft.c -O3 -mtune=native -ffast-math -fomit-frame-pointer -dA -fverbose-asm -DFIXED_POINT
- [ -e kiss_fft.s~ ] && diff kiss_fft.s~ kiss_fft.s || true
diff --git a/examples/bare-metal/micro_speech/kissfft/README b/examples/bare-metal/micro_speech/kissfft/README
deleted file mode 100644
index 03b2e7a9c..000000000
--- a/examples/bare-metal/micro_speech/kissfft/README
+++ /dev/null
@@ -1,134 +0,0 @@
-KISS FFT - A mixed-radix Fast Fourier Transform based up on the principle,
-"Keep It Simple, Stupid."
-
- There are many great fft libraries already around. Kiss FFT is not trying
-to be better than any of them. It only attempts to be a reasonably efficient,
-moderately useful FFT that can use fixed or floating data types and can be
-incorporated into someone's C program in a few minutes with trivial licensing.
-
-USAGE:
-
- The basic usage for 1-d complex FFT is:
-
- #include "kiss_fft.h"
-
- kiss_fft_cfg cfg = kiss_fft_alloc( nfft ,is_inverse_fft ,0,0 );
-
- while ...
-
- ... // put kth sample in cx_in[k].r and cx_in[k].i
-
- kiss_fft( cfg , cx_in , cx_out );
-
- ... // transformed. DC is in cx_out[0].r and cx_out[0].i
-
- free(cfg);
-
- Note: frequency-domain data is stored from dc up to 2pi.
- so cx_out[0] is the dc bin of the FFT
- and cx_out[nfft/2] is the Nyquist bin (if exists)
-
- Declarations are in "kiss_fft.h", along with a brief description of the
-functions you'll need to use.
-
-Code definitions for 1d complex FFTs are in kiss_fft.c.
-
-You can do other cool stuff with the extras you'll find in tools/
-
- * multi-dimensional FFTs
- * real-optimized FFTs (returns the positive half-spectrum: (nfft/2+1) complex frequency bins)
- * fast convolution FIR filtering (not available for fixed point)
- * spectrum image creation
-
-The core fft and most tools/ code can be compiled to use float, double,
- Q15 short or Q31 samples. The default is float.
-
-
-BACKGROUND:
-
- I started coding this because I couldn't find a fixed point FFT that didn't
-use assembly code. I started with floating point numbers so I could get the
-theory straight before working on fixed point issues. In the end, I had a
-little bit of code that could be recompiled easily to do ffts with short, float
-or double (other types should be easy too).
-
- Once I got my FFT working, I was curious about the speed compared to
-a well respected and highly optimized fft library. I don't want to criticize
-this great library, so let's call it FFT_BRANDX.
-During this process, I learned:
-
- 1. FFT_BRANDX has more than 100K lines of code. The core of kiss_fft is about 500 lines (cpx 1-d).
- 2. It took me an embarrassingly long time to get FFT_BRANDX working.
- 3. A simple program using FFT_BRANDX is 522KB. A similar program using kiss_fft is 18KB (without optimizing for size).
- 4. FFT_BRANDX is roughly twice as fast as KISS FFT in default mode.
-
- It is wonderful that free, highly optimized libraries like FFT_BRANDX exist.
-But such libraries carry a huge burden of complexity necessary to extract every
-last bit of performance.
-
- Sometimes simpler is better, even if it's not better.
-
-FREQUENTLY ASKED QUESTIONS:
- Q: Can I use kissfft in a project with a ___ license?
- A: Yes. See LICENSE below.
-
- Q: Why don't I get the output I expect?
- A: The two most common causes of this are
- 1) scaling : is there a constant multiplier between what you got and what you want?
- 2) mixed build environment -- all code must be compiled with same preprocessor
- definitions for FIXED_POINT and kiss_fft_scalar
-
- Q: Will you write/debug my code for me?
- A: Probably not unless you pay me. I am happy to answer pointed and topical questions, but
- I may refer you to a book, a forum, or some other resource.
-
-
-PERFORMANCE:
- (on Athlon XP 2100+, with gcc 2.96, float data type)
-
- Kiss performed 10000 1024-pt cpx ffts in .63 s of cpu time.
- For comparison, it took md5sum twice as long to process the same amount of data.
-
- Transforming 5 minutes of CD quality audio takes less than a second (nfft=1024).
-
-DO NOT:
- ... use Kiss if you need the Fastest Fourier Transform in the World
- ... ask me to add features that will bloat the code
-
-UNDER THE HOOD:
-
- Kiss FFT uses a time decimation, mixed-radix, out-of-place FFT. If you give it an input buffer
- and output buffer that are the same, a temporary buffer will be created to hold the data.
-
- No static data is used. The core routines of kiss_fft are thread-safe (but not all of the tools directory).
-
- No scaling is done for the floating point version (for speed).
- Scaling is done both ways for the fixed-point version (for overflow prevention).
-
- Optimized butterflies are used for factors 2,3,4, and 5.
-
- The real (i.e. not complex) optimization code only works for even length ffts. It does two half-length
- FFTs in parallel (packed into real&imag), and then combines them via twiddling. The result is
- nfft/2+1 complex frequency bins from DC to Nyquist. If you don't know what this means, search the web.
-
- The fast convolution filtering uses the overlap-scrap method, slightly
- modified to put the scrap at the tail.
-
-LICENSE:
- Revised BSD License, see COPYING for verbiage.
- Basically, "free to use&change, give credit where due, no guarantees"
- Note this license is compatible with GPL at one end of the spectrum and closed, commercial software at
- the other end. See http://www.fsf.org/licensing/licenses
-
- A commercial license is available which removes the requirement for attribution. Contact me for details.
-
-
-TODO:
- *) Add real optimization for odd length FFTs
- *) Document/revisit the input/output fft scaling
- *) Make doc describing the overlap (tail) scrap fast convolution filtering in kiss_fastfir.c
- *) Test all the ./tools/ code with fixed point (kiss_fastfir.c doesn't work, maybe others)
-
-AUTHOR:
- Mark Borgerding
- Mark@Borgerding.net
diff --git a/examples/bare-metal/micro_speech/kissfft/README.simd b/examples/bare-metal/micro_speech/kissfft/README.simd
deleted file mode 100644
index b0fdac550..000000000
--- a/examples/bare-metal/micro_speech/kissfft/README.simd
+++ /dev/null
@@ -1,78 +0,0 @@
-If you are reading this, it means you think you may be interested in using the SIMD extensions in kissfft
-to do 4 *separate* FFTs at once.
-
-Beware! Beyond here there be dragons!
-
-This API is not easy to use, is not well documented, and breaks the KISS principle.
-
-
-Still reading? Okay, you may get rewarded for your patience with a considerable speedup
-(2-3x) on intel x86 machines with SSE if you are willing to jump through some hoops.
-
-The basic idea is to use the packed 4 float __m128 data type as a scalar element.
-This means that the format is pretty convoluted. It performs 4 FFTs per fft call on signals A,B,C,D.
-
-For complex data, the data is interlaced as follows:
-rA0,rB0,rC0,rD0, iA0,iB0,iC0,iD0, rA1,rB1,rC1,rD1, iA1,iB1,iC1,iD1 ...
-where "rA0" is the real part of the zeroth sample for signal A
-
-Real-only data is laid out:
-rA0,rB0,rC0,rD0, rA1,rB1,rC1,rD1, ...
-
-Compile with gcc flags something like
--O3 -mpreferred-stack-boundary=4 -DUSE_SIMD=1 -msse
-
-Be aware of SIMD alignment. This is the most likely cause of segfaults.
-The code within kissfft uses scratch variables on the stack.
-With SIMD, these must have addresses on 16 byte boundaries.
-Search on "SIMD alignment" for more info.
-
-
-
-Robin at Divide Concept was kind enough to share his code for formatting to/from the SIMD kissfft.
-I have not run it -- use it at your own risk. It appears to do 4xN and Nx4 transpositions
-(out of place).
-
-void SSETools::pack128(float* target, float* source, unsigned long size128)
-{
- __m128* pDest = (__m128*)target;
- __m128* pDestEnd = pDest+size128;
- float* source0=source;
- float* source1=source0+size128;
- float* source2=source1+size128;
- float* source3=source2+size128;
-
- while(pDest
-
-#define MAXFACTORS 32
-/* e.g. an fft of length 128 has 4 factors
- as far as kissfft is concerned
- 4*4*4*2
- */
-
-struct kiss_fft_state{
- int nfft;
- int inverse;
- int factors[2*MAXFACTORS];
- kiss_fft_cpx twiddles[1];
-};
-
-/*
- Explanation of macros dealing with complex math:
-
- C_MUL(m,a,b) : m = a*b
- C_FIXDIV( c , div ) : if a fixed point impl., c /= div. noop otherwise
- C_SUB( res, a,b) : res = a - b
- C_SUBFROM( res , a) : res -= a
- C_ADDTO( res , a) : res += a
- * */
-#ifdef FIXED_POINT
-#if (FIXED_POINT==32)
-# define FRACBITS 31
-# define SAMPPROD int64_t
-#define SAMP_MAX 2147483647
-#else
-# define FRACBITS 15
-# define SAMPPROD int32_t
-#define SAMP_MAX 32767
-#endif
-
-#define SAMP_MIN -SAMP_MAX
-
-#if defined(CHECK_OVERFLOW)
-# define CHECK_OVERFLOW_OP(a,op,b) \
- if ( (SAMPPROD)(a) op (SAMPPROD)(b) > SAMP_MAX || (SAMPPROD)(a) op (SAMPPROD)(b) < SAMP_MIN ) { \
- fprintf(stderr,"WARNING:overflow @ " __FILE__ "(%d): (%d " #op" %d) = %ld\n",__LINE__,(a),(b),(SAMPPROD)(a) op (SAMPPROD)(b) ); }
-#endif
-
-
-# define smul(a,b) ( (SAMPPROD)(a)*(b) )
-# define sround( x ) (kiss_fft_scalar)( ( (x) + (1<<(FRACBITS-1)) ) >> FRACBITS )
-
-# define S_MUL(a,b) sround( smul(a,b) )
-
-# define C_MUL(m,a,b) \
- do{ (m).r = sround( smul((a).r,(b).r) - smul((a).i,(b).i) ); \
- (m).i = sround( smul((a).r,(b).i) + smul((a).i,(b).r) ); }while(0)
-
-# define DIVSCALAR(x,k) \
- (x) = sround( smul( x, SAMP_MAX/k ) )
-
-# define C_FIXDIV(c,div) \
- do { DIVSCALAR( (c).r , div); \
- DIVSCALAR( (c).i , div); }while (0)
-
-# define C_MULBYSCALAR( c, s ) \
- do{ (c).r = sround( smul( (c).r , s ) ) ;\
- (c).i = sround( smul( (c).i , s ) ) ; }while(0)
-
-#else /* not FIXED_POINT*/
-
-# define S_MUL(a,b) ( (a)*(b) )
-#define C_MUL(m,a,b) \
- do{ (m).r = (a).r*(b).r - (a).i*(b).i;\
- (m).i = (a).r*(b).i + (a).i*(b).r; }while(0)
-# define C_FIXDIV(c,div) /* NOOP */
-# define C_MULBYSCALAR( c, s ) \
- do{ (c).r *= (s);\
- (c).i *= (s); }while(0)
-#endif
-
-#ifndef CHECK_OVERFLOW_OP
-# define CHECK_OVERFLOW_OP(a,op,b) /* noop */
-#endif
-
-#define C_ADD( res, a,b)\
- do { \
- CHECK_OVERFLOW_OP((a).r,+,(b).r)\
- CHECK_OVERFLOW_OP((a).i,+,(b).i)\
- (res).r=(a).r+(b).r; (res).i=(a).i+(b).i; \
- }while(0)
-#define C_SUB( res, a,b)\
- do { \
- CHECK_OVERFLOW_OP((a).r,-,(b).r)\
- CHECK_OVERFLOW_OP((a).i,-,(b).i)\
- (res).r=(a).r-(b).r; (res).i=(a).i-(b).i; \
- }while(0)
-#define C_ADDTO( res , a)\
- do { \
- CHECK_OVERFLOW_OP((res).r,+,(a).r)\
- CHECK_OVERFLOW_OP((res).i,+,(a).i)\
- (res).r += (a).r; (res).i += (a).i;\
- }while(0)
-
-#define C_SUBFROM( res , a)\
- do {\
- CHECK_OVERFLOW_OP((res).r,-,(a).r)\
- CHECK_OVERFLOW_OP((res).i,-,(a).i)\
- (res).r -= (a).r; (res).i -= (a).i; \
- }while(0)
-
-
-#ifdef FIXED_POINT
-# define KISS_FFT_COS(phase) floor(.5+SAMP_MAX * cos (phase))
-# define KISS_FFT_SIN(phase) floor(.5+SAMP_MAX * sin (phase))
-# define HALF_OF(x) ((x)>>1)
-#elif defined(USE_SIMD)
-# define KISS_FFT_COS(phase) _mm_set1_ps( cos(phase) )
-# define KISS_FFT_SIN(phase) _mm_set1_ps( sin(phase) )
-# define HALF_OF(x) ((x)*_mm_set1_ps(.5))
-#else
-# define KISS_FFT_COS(phase) (kiss_fft_scalar) cos(phase)
-# define KISS_FFT_SIN(phase) (kiss_fft_scalar) sin(phase)
-# define HALF_OF(x) ((x)*.5)
-#endif
-
-#define kf_cexp(x,phase) \
- do{ \
- (x)->r = KISS_FFT_COS(phase);\
- (x)->i = KISS_FFT_SIN(phase);\
- }while(0)
-
-
-/* a debugging function */
-#define pcpx(c)\
- fprintf(stderr,"%g + %gi\n",(double)((c)->r),(double)((c)->i) )
-
-
-#ifdef KISS_FFT_USE_ALLOCA
-// define this to allow use of alloca instead of malloc for temporary buffers
-// Temporary buffers are used in two case:
-// 1. FFT sizes that have "bad" factors. i.e. not 2,3 and 5
-// 2. "in-place" FFTs. Notice the quotes, since kissfft does not really do an in-place transform.
-#include
-#define KISS_FFT_TMP_ALLOC(nbytes) alloca(nbytes)
-#define KISS_FFT_TMP_FREE(ptr)
-#else
-#define KISS_FFT_TMP_ALLOC(nbytes) KISS_FFT_MALLOC(nbytes)
-#define KISS_FFT_TMP_FREE(ptr) KISS_FFT_FREE(ptr)
-#endif
\ No newline at end of file
diff --git a/examples/bare-metal/micro_speech/kissfft/kiss_fft.c b/examples/bare-metal/micro_speech/kissfft/kiss_fft.c
deleted file mode 100644
index 465d6c97a..000000000
--- a/examples/bare-metal/micro_speech/kissfft/kiss_fft.c
+++ /dev/null
@@ -1,408 +0,0 @@
-/*
-Copyright (c) 2003-2010, Mark Borgerding
-
-All rights reserved.
-
-Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
-
- * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
- * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
- * Neither the author nor the names of any contributors may be used to endorse or promote products derived from this software without specific prior written permission.
-
-THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
-*/
-
-
-#include "_kiss_fft_guts.h"
-/* The guts header contains all the multiplication and addition macros that are defined for
- fixed or floating point complex numbers. It also delares the kf_ internal functions.
- */
-
-static void kf_bfly2(
- kiss_fft_cpx * Fout,
- const size_t fstride,
- const kiss_fft_cfg st,
- int m
- )
-{
- kiss_fft_cpx * Fout2;
- kiss_fft_cpx * tw1 = st->twiddles;
- kiss_fft_cpx t;
- Fout2 = Fout + m;
- do{
- C_FIXDIV(*Fout,2); C_FIXDIV(*Fout2,2);
-
- C_MUL (t, *Fout2 , *tw1);
- tw1 += fstride;
- C_SUB( *Fout2 , *Fout , t );
- C_ADDTO( *Fout , t );
- ++Fout2;
- ++Fout;
- }while (--m);
-}
-
-static void kf_bfly4(
- kiss_fft_cpx * Fout,
- const size_t fstride,
- const kiss_fft_cfg st,
- const size_t m
- )
-{
- kiss_fft_cpx *tw1,*tw2,*tw3;
- kiss_fft_cpx scratch[6];
- size_t k=m;
- const size_t m2=2*m;
- const size_t m3=3*m;
-
-
- tw3 = tw2 = tw1 = st->twiddles;
-
- do {
- C_FIXDIV(*Fout,4); C_FIXDIV(Fout[m],4); C_FIXDIV(Fout[m2],4); C_FIXDIV(Fout[m3],4);
-
- C_MUL(scratch[0],Fout[m] , *tw1 );
- C_MUL(scratch[1],Fout[m2] , *tw2 );
- C_MUL(scratch[2],Fout[m3] , *tw3 );
-
- C_SUB( scratch[5] , *Fout, scratch[1] );
- C_ADDTO(*Fout, scratch[1]);
- C_ADD( scratch[3] , scratch[0] , scratch[2] );
- C_SUB( scratch[4] , scratch[0] , scratch[2] );
- C_SUB( Fout[m2], *Fout, scratch[3] );
- tw1 += fstride;
- tw2 += fstride*2;
- tw3 += fstride*3;
- C_ADDTO( *Fout , scratch[3] );
-
- if(st->inverse) {
- Fout[m].r = scratch[5].r - scratch[4].i;
- Fout[m].i = scratch[5].i + scratch[4].r;
- Fout[m3].r = scratch[5].r + scratch[4].i;
- Fout[m3].i = scratch[5].i - scratch[4].r;
- }else{
- Fout[m].r = scratch[5].r + scratch[4].i;
- Fout[m].i = scratch[5].i - scratch[4].r;
- Fout[m3].r = scratch[5].r - scratch[4].i;
- Fout[m3].i = scratch[5].i + scratch[4].r;
- }
- ++Fout;
- }while(--k);
-}
-
-static void kf_bfly3(
- kiss_fft_cpx * Fout,
- const size_t fstride,
- const kiss_fft_cfg st,
- size_t m
- )
-{
- size_t k=m;
- const size_t m2 = 2*m;
- kiss_fft_cpx *tw1,*tw2;
- kiss_fft_cpx scratch[5];
- kiss_fft_cpx epi3;
- epi3 = st->twiddles[fstride*m];
-
- tw1=tw2=st->twiddles;
-
- do{
- C_FIXDIV(*Fout,3); C_FIXDIV(Fout[m],3); C_FIXDIV(Fout[m2],3);
-
- C_MUL(scratch[1],Fout[m] , *tw1);
- C_MUL(scratch[2],Fout[m2] , *tw2);
-
- C_ADD(scratch[3],scratch[1],scratch[2]);
- C_SUB(scratch[0],scratch[1],scratch[2]);
- tw1 += fstride;
- tw2 += fstride*2;
-
- Fout[m].r = Fout->r - HALF_OF(scratch[3].r);
- Fout[m].i = Fout->i - HALF_OF(scratch[3].i);
-
- C_MULBYSCALAR( scratch[0] , epi3.i );
-
- C_ADDTO(*Fout,scratch[3]);
-
- Fout[m2].r = Fout[m].r + scratch[0].i;
- Fout[m2].i = Fout[m].i - scratch[0].r;
-
- Fout[m].r -= scratch[0].i;
- Fout[m].i += scratch[0].r;
-
- ++Fout;
- }while(--k);
-}
-
-static void kf_bfly5(
- kiss_fft_cpx * Fout,
- const size_t fstride,
- const kiss_fft_cfg st,
- int m
- )
-{
- kiss_fft_cpx *Fout0,*Fout1,*Fout2,*Fout3,*Fout4;
- int u;
- kiss_fft_cpx scratch[13];
- kiss_fft_cpx * twiddles = st->twiddles;
- kiss_fft_cpx *tw;
- kiss_fft_cpx ya,yb;
- ya = twiddles[fstride*m];
- yb = twiddles[fstride*2*m];
-
- Fout0=Fout;
- Fout1=Fout0+m;
- Fout2=Fout0+2*m;
- Fout3=Fout0+3*m;
- Fout4=Fout0+4*m;
-
- tw=st->twiddles;
- for ( u=0; ur += scratch[7].r + scratch[8].r;
- Fout0->i += scratch[7].i + scratch[8].i;
-
- scratch[5].r = scratch[0].r + S_MUL(scratch[7].r,ya.r) + S_MUL(scratch[8].r,yb.r);
- scratch[5].i = scratch[0].i + S_MUL(scratch[7].i,ya.r) + S_MUL(scratch[8].i,yb.r);
-
- scratch[6].r = S_MUL(scratch[10].i,ya.i) + S_MUL(scratch[9].i,yb.i);
- scratch[6].i = -S_MUL(scratch[10].r,ya.i) - S_MUL(scratch[9].r,yb.i);
-
- C_SUB(*Fout1,scratch[5],scratch[6]);
- C_ADD(*Fout4,scratch[5],scratch[6]);
-
- scratch[11].r = scratch[0].r + S_MUL(scratch[7].r,yb.r) + S_MUL(scratch[8].r,ya.r);
- scratch[11].i = scratch[0].i + S_MUL(scratch[7].i,yb.r) + S_MUL(scratch[8].i,ya.r);
- scratch[12].r = - S_MUL(scratch[10].i,yb.i) + S_MUL(scratch[9].i,ya.i);
- scratch[12].i = S_MUL(scratch[10].r,yb.i) - S_MUL(scratch[9].r,ya.i);
-
- C_ADD(*Fout2,scratch[11],scratch[12]);
- C_SUB(*Fout3,scratch[11],scratch[12]);
-
- ++Fout0;++Fout1;++Fout2;++Fout3;++Fout4;
- }
-}
-
-/* perform the butterfly for one stage of a mixed radix FFT */
-static void kf_bfly_generic(
- kiss_fft_cpx * Fout,
- const size_t fstride,
- const kiss_fft_cfg st,
- int m,
- int p
- )
-{
- int u,k,q1,q;
- kiss_fft_cpx * twiddles = st->twiddles;
- kiss_fft_cpx t;
- int Norig = st->nfft;
-
- kiss_fft_cpx * scratch = (kiss_fft_cpx*)KISS_FFT_TMP_ALLOC(sizeof(kiss_fft_cpx)*p);
-
- for ( u=0; u=Norig) twidx-=Norig;
- C_MUL(t,scratch[q] , twiddles[twidx] );
- C_ADDTO( Fout[ k ] ,t);
- }
- k += m;
- }
- }
- KISS_FFT_TMP_FREE(scratch);
-}
-
-static
-void kf_work(
- kiss_fft_cpx * Fout,
- const kiss_fft_cpx * f,
- const size_t fstride,
- int in_stride,
- int * factors,
- const kiss_fft_cfg st
- )
-{
- kiss_fft_cpx * Fout_beg=Fout;
- const int p=*factors++; /* the radix */
- const int m=*factors++; /* stage's fft length/p */
- const kiss_fft_cpx * Fout_end = Fout + p*m;
-
-#ifdef _OPENMP
- // use openmp extensions at the
- // top-level (not recursive)
- if (fstride==1 && p<=5)
- {
- int k;
-
- // execute the p different work units in different threads
-# pragma omp parallel for
- for (k=0;k floor_sqrt)
- p = n; /* no more factors, skip to end */
- }
- n /= p;
- *facbuf++ = p;
- *facbuf++ = n;
- } while (n > 1);
-}
-
-/*
- *
- * User-callable function to allocate all necessary storage space for the fft.
- *
- * The return value is a contiguous block of memory, allocated with malloc. As such,
- * It can be freed with free(), rather than a kiss_fft-specific function.
- * */
-kiss_fft_cfg kiss_fft_alloc(int nfft,int inverse_fft,void * mem,size_t * lenmem )
-{
- kiss_fft_cfg st=NULL;
- size_t memneeded = sizeof(struct kiss_fft_state)
- + sizeof(kiss_fft_cpx)*(nfft-1); /* twiddle factors*/
-
- if ( lenmem==NULL ) {
- st = ( kiss_fft_cfg)KISS_FFT_MALLOC( memneeded );
- }else{
- if (mem != NULL && *lenmem >= memneeded)
- st = (kiss_fft_cfg)mem;
- *lenmem = memneeded;
- }
- if (st) {
- int i;
- st->nfft=nfft;
- st->inverse = inverse_fft;
-
- for (i=0;iinverse)
- phase *= -1;
- kf_cexp(st->twiddles+i, phase );
- }
-
- kf_factor(nfft,st->factors);
- }
- return st;
-}
-
-
-void kiss_fft_stride(kiss_fft_cfg st,const kiss_fft_cpx *fin,kiss_fft_cpx *fout,int in_stride)
-{
- if (fin == fout) {
- //NOTE: this is not really an in-place FFT algorithm.
- //It just performs an out-of-place FFT into a temp buffer
- kiss_fft_cpx * tmpbuf = (kiss_fft_cpx*)KISS_FFT_TMP_ALLOC( sizeof(kiss_fft_cpx)*st->nfft);
- kf_work(tmpbuf,fin,1,in_stride, st->factors,st);
- memcpy(fout,tmpbuf,sizeof(kiss_fft_cpx)*st->nfft);
- KISS_FFT_TMP_FREE(tmpbuf);
- }else{
- kf_work( fout, fin, 1,in_stride, st->factors,st );
- }
-}
-
-void kiss_fft(kiss_fft_cfg cfg,const kiss_fft_cpx *fin,kiss_fft_cpx *fout)
-{
- kiss_fft_stride(cfg,fin,fout,1);
-}
-
-
-void kiss_fft_cleanup(void)
-{
- // nothing needed any more
-}
-
-int kiss_fft_next_fast_size(int n)
-{
- while(1) {
- int m=n;
- while ( (m%2) == 0 ) m/=2;
- while ( (m%3) == 0 ) m/=3;
- while ( (m%5) == 0 ) m/=5;
- if (m<=1)
- break; /* n is completely factorable by twos, threes, and fives */
- n++;
- }
- return n;
-}
diff --git a/examples/bare-metal/micro_speech/kissfft/kiss_fft.h b/examples/bare-metal/micro_speech/kissfft/kiss_fft.h
deleted file mode 100644
index 5a7617745..000000000
--- a/examples/bare-metal/micro_speech/kissfft/kiss_fft.h
+++ /dev/null
@@ -1,131 +0,0 @@
-#ifndef KISS_FFT_H
-#define KISS_FFT_H
-
-#include
-#include
-#include
-#include
-
-#ifdef __cplusplus
-extern "C" {
-#endif
-
-/*
- ATTENTION!
- If you would like a :
- -- a utility that will handle the caching of fft objects
- -- real-only (no imaginary time component ) FFT
- -- a multi-dimensional FFT
- -- a command-line utility to perform ffts
- -- a command-line utility to perform fast-convolution filtering
-
- Then see kfc.h kiss_fftr.h kiss_fftnd.h fftutil.c kiss_fastfir.c
- in the tools/ directory.
-*/
-
-#ifdef USE_SIMD
-# include
-# define kiss_fft_scalar __m128
-#define KISS_FFT_MALLOC(nbytes) _mm_malloc(nbytes,16)
-#define KISS_FFT_FREE _mm_free
-#else
-#define KISS_FFT_MALLOC(X) (void*)(0) /* Patched. */
-#define KISS_FFT_FREE(X) /* Patched. */
-#endif
-
-
-// Patched automatically by download_dependencies.sh so default is 16 bit.
-#ifndef FIXED_POINT
-#define FIXED_POINT (16)
-#endif
-// End patch.
-
-#ifdef FIXED_POINT
-#include /* Patched. */
-#include
-# if (FIXED_POINT == 32)
-# define kiss_fft_scalar int32_t
-# else
-# define kiss_fft_scalar int16_t
-# endif
-#else
-# ifndef kiss_fft_scalar
-/* default is float */
-# define kiss_fft_scalar float
-# endif
-#endif
-
-typedef struct {
- kiss_fft_scalar r;
- kiss_fft_scalar i;
-}kiss_fft_cpx;
-
-typedef struct kiss_fft_state* kiss_fft_cfg;
-
-/*
- * kiss_fft_alloc
- *
- * Initialize a FFT (or IFFT) algorithm's cfg/state buffer.
- *
- * typical usage: kiss_fft_cfg mycfg=kiss_fft_alloc(1024,0,NULL,NULL);
- *
- * The return value from fft_alloc is a cfg buffer used internally
- * by the fft routine or NULL.
- *
- * If lenmem is NULL, then kiss_fft_alloc will allocate a cfg buffer using malloc.
- * The returned value should be free()d when done to avoid memory leaks.
- *
- * The state can be placed in a user supplied buffer 'mem':
- * If lenmem is not NULL and mem is not NULL and *lenmem is large enough,
- * then the function places the cfg in mem and the size used in *lenmem
- * and returns mem.
- *
- * If lenmem is not NULL and ( mem is NULL or *lenmem is not large enough),
- * then the function returns NULL and places the minimum cfg
- * buffer size in *lenmem.
- * */
-
-kiss_fft_cfg kiss_fft_alloc(int nfft,int inverse_fft,void * mem,size_t * lenmem);
-
-/*
- * kiss_fft(cfg,in_out_buf)
- *
- * Perform an FFT on a complex input buffer.
- * for a forward FFT,
- * fin should be f[0] , f[1] , ... ,f[nfft-1]
- * fout will be F[0] , F[1] , ... ,F[nfft-1]
- * Note that each element is complex and can be accessed like
- f[k].r and f[k].i
- * */
-void kiss_fft(kiss_fft_cfg cfg,const kiss_fft_cpx *fin,kiss_fft_cpx *fout);
-
-/*
- A more generic version of the above function. It reads its input from every Nth sample.
- * */
-void kiss_fft_stride(kiss_fft_cfg cfg,const kiss_fft_cpx *fin,kiss_fft_cpx *fout,int fin_stride);
-
-/* If kiss_fft_alloc allocated a buffer, it is one contiguous
- buffer and can be simply free()d when no longer needed*/
-#define kiss_fft_free free
-
-/*
- Cleans up some memory that gets managed internally. Not necessary to call, but it might clean up
- your compiler output to call this before you exit.
-*/
-void kiss_fft_cleanup(void);
-
-
-/*
- * Returns the smallest integer k, such that k>=n and k has only "fast" factors (2,3,5)
- */
-int kiss_fft_next_fast_size(int n);
-
-/* for real ffts, we need an even size */
-#define kiss_fftr_next_fast_size_real(n) \
- (kiss_fft_next_fast_size( ((n)+1)>>1)<<1)
-
-#ifdef __cplusplus
-}
-#endif
-
-#endif
\ No newline at end of file
diff --git a/examples/bare-metal/micro_speech/kissfft/kissfft.hh b/examples/bare-metal/micro_speech/kissfft/kissfft.hh
deleted file mode 100644
index a586cb115..000000000
--- a/examples/bare-metal/micro_speech/kissfft/kissfft.hh
+++ /dev/null
@@ -1,299 +0,0 @@
-#ifndef KISSFFT_CLASS_HH
-#include
-#include
-
-namespace kissfft_utils {
-
-template
-struct traits
-{
- typedef T_scalar scalar_type;
- typedef std::complex cpx_type;
- void fill_twiddles( std::complex * dst ,int nfft,bool inverse)
- {
- T_scalar phinc = (inverse?2:-2)* acos( (T_scalar) -1) / nfft;
- for (int i=0;i(0,i*phinc) );
- }
-
- void prepare(
- std::vector< std::complex > & dst,
- int nfft,bool inverse,
- std::vector & stageRadix,
- std::vector & stageRemainder )
- {
- _twiddles.resize(nfft);
- fill_twiddles( &_twiddles[0],nfft,inverse);
- dst = _twiddles;
-
- //factorize
- //start factoring out 4's, then 2's, then 3,5,7,9,...
- int n= nfft;
- int p=4;
- do {
- while (n % p) {
- switch (p) {
- case 4: p = 2; break;
- case 2: p = 3; break;
- default: p += 2; break;
- }
- if (p*p>n)
- p=n;// no more factors
- }
- n /= p;
- stageRadix.push_back(p);
- stageRemainder.push_back(n);
- }while(n>1);
- }
- std::vector _twiddles;
-
-
- const cpx_type twiddle(int i) { return _twiddles[i]; }
-};
-
-}
-
-template
- >
-class kissfft
-{
- public:
- typedef T_traits traits_type;
- typedef typename traits_type::scalar_type scalar_type;
- typedef typename traits_type::cpx_type cpx_type;
-
- kissfft(int nfft,bool inverse,const traits_type & traits=traits_type() )
- :_nfft(nfft),_inverse(inverse),_traits(traits)
- {
- _traits.prepare(_twiddles, _nfft,_inverse ,_stageRadix, _stageRemainder);
- }
-
- void transform(const cpx_type * src , cpx_type * dst)
- {
- kf_work(0, dst, src, 1,1);
- }
-
- private:
- void kf_work( int stage,cpx_type * Fout, const cpx_type * f, size_t fstride,size_t in_stride)
- {
- int p = _stageRadix[stage];
- int m = _stageRemainder[stage];
- cpx_type * Fout_beg = Fout;
- cpx_type * Fout_end = Fout + p*m;
-
- if (m==1) {
- do{
- *Fout = *f;
- f += fstride*in_stride;
- }while(++Fout != Fout_end );
- }else{
- do{
- // recursive call:
- // DFT of size m*p performed by doing
- // p instances of smaller DFTs of size m,
- // each one takes a decimated version of the input
- kf_work(stage+1, Fout , f, fstride*p,in_stride);
- f += fstride*in_stride;
- }while( (Fout += m) != Fout_end );
- }
-
- Fout=Fout_beg;
-
- // recombine the p smaller DFTs
- switch (p) {
- case 2: kf_bfly2(Fout,fstride,m); break;
- case 3: kf_bfly3(Fout,fstride,m); break;
- case 4: kf_bfly4(Fout,fstride,m); break;
- case 5: kf_bfly5(Fout,fstride,m); break;
- default: kf_bfly_generic(Fout,fstride,m,p); break;
- }
- }
-
- // these were #define macros in the original kiss_fft
- void C_ADD( cpx_type & c,const cpx_type & a,const cpx_type & b) { c=a+b;}
- void C_MUL( cpx_type & c,const cpx_type & a,const cpx_type & b) { c=a*b;}
- void C_SUB( cpx_type & c,const cpx_type & a,const cpx_type & b) { c=a-b;}
- void C_ADDTO( cpx_type & c,const cpx_type & a) { c+=a;}
- void C_FIXDIV( cpx_type & ,int ) {} // NO-OP for float types
- scalar_type S_MUL( const scalar_type & a,const scalar_type & b) { return a*b;}
- scalar_type HALF_OF( const scalar_type & a) { return a*.5;}
- void C_MULBYSCALAR(cpx_type & c,const scalar_type & a) {c*=a;}
-
- void kf_bfly2( cpx_type * Fout, const size_t fstride, int m)
- {
- for (int k=0;kreal() - HALF_OF(scratch[3].real() ) , Fout->imag() - HALF_OF(scratch[3].imag() ) );
-
- C_MULBYSCALAR( scratch[0] , epi3.imag() );
-
- C_ADDTO(*Fout,scratch[3]);
-
- Fout[m2] = cpx_type( Fout[m].real() + scratch[0].imag() , Fout[m].imag() - scratch[0].real() );
-
- C_ADDTO( Fout[m] , cpx_type( -scratch[0].imag(),scratch[0].real() ) );
- ++Fout;
- }while(--k);
- }
-
- void kf_bfly5( cpx_type * Fout, const size_t fstride, const size_t m)
- {
- cpx_type *Fout0,*Fout1,*Fout2,*Fout3,*Fout4;
- size_t u;
- cpx_type scratch[13];
- cpx_type * twiddles = &_twiddles[0];
- cpx_type *tw;
- cpx_type ya,yb;
- ya = twiddles[fstride*m];
- yb = twiddles[fstride*2*m];
-
- Fout0=Fout;
- Fout1=Fout0+m;
- Fout2=Fout0+2*m;
- Fout3=Fout0+3*m;
- Fout4=Fout0+4*m;
-
- tw=twiddles;
- for ( u=0; u=Norig) twidx-=Norig;
- C_MUL(t,scratchbuf[q] , twiddles[twidx] );
- C_ADDTO( Fout[ k ] ,t);
- }
- k += m;
- }
- }
- }
-
- int _nfft;
- bool _inverse;
- std::vector _twiddles;
- std::vector _stageRadix;
- std::vector _stageRemainder;
- traits_type _traits;
-};
-#endif
diff --git a/examples/bare-metal/micro_speech/kissfft/test/Makefile b/examples/bare-metal/micro_speech/kissfft/test/Makefile
deleted file mode 100644
index c204511ea..000000000
--- a/examples/bare-metal/micro_speech/kissfft/test/Makefile
+++ /dev/null
@@ -1,108 +0,0 @@
-
-WARNINGS=-W -Wall -Wstrict-prototypes -Wmissing-prototypes -Waggregate-return \
- -Wcast-align -Wcast-qual -Wnested-externs -Wshadow -Wbad-function-cast \
- -Wwrite-strings
-
-CFLAGS=-O3 -I.. -I../tools $(WARNINGS)
-CFLAGS+=-ffast-math -fomit-frame-pointer
-#CFLAGS+=-funroll-loops
-#CFLAGS+=-march=prescott
-#CFLAGS+= -mtune=native
-# TIP: try adding -openmp or -fopenmp to enable OPENMP directives and use of multiple cores
-#CFLAGS+=-fopenmp
-CFLAGS+= $(CFLAGADD)
-
-
-ifeq "$(NFFT)" ""
- NFFT=1800
-endif
-ifeq "$(NUMFFTS)" ""
- NUMFFTS=10000
-endif
-
-ifeq "$(DATATYPE)" ""
- DATATYPE=float
-endif
-
-BENCHKISS=bm_kiss_$(DATATYPE)
-BENCHFFTW=bm_fftw_$(DATATYPE)
-SELFTEST=st_$(DATATYPE)
-TESTREAL=tr_$(DATATYPE)
-TESTKFC=tkfc_$(DATATYPE)
-FASTFILTREAL=ffr_$(DATATYPE)
-SELFTESTSRC=twotonetest.c
-
-
-TYPEFLAGS=-Dkiss_fft_scalar=$(DATATYPE)
-
-ifeq "$(DATATYPE)" "int16_t"
- TYPEFLAGS=-DFIXED_POINT=16
-endif
-
-ifeq "$(DATATYPE)" "int32_t"
- TYPEFLAGS=-DFIXED_POINT=32
-endif
-
-ifeq "$(DATATYPE)" "simd"
- TYPEFLAGS=-DUSE_SIMD=1 -msse
-endif
-
-
-ifeq "$(DATATYPE)" "float"
- # fftw needs to be built with --enable-float to build this lib
- FFTWLIB=-lfftw3f
-else
- FFTWLIB=-lfftw3
-endif
-
-FFTWLIBDIR=-L/usr/local/lib/
-
-SRCFILES=../kiss_fft.c ../tools/kiss_fftnd.c ../tools/kiss_fftr.c pstats.c ../tools/kfc.c ../tools/kiss_fftndr.c
-
-all: tools $(BENCHKISS) $(SELFTEST) $(BENCHFFTW) $(TESTREAL) $(TESTKFC)
-
-tools:
- cd ../tools && make all
-
-
-$(SELFTEST): $(SELFTESTSRC) $(SRCFILES)
- $(CC) -o $@ $(CFLAGS) $(TYPEFLAGS) $+ -lm
-
-$(TESTKFC): $(SRCFILES)
- $(CC) -o $@ $(CFLAGS) -DKFC_TEST $(TYPEFLAGS) $+ -lm
-
-$(TESTREAL): test_real.c $(SRCFILES)
- $(CC) -o $@ $(CFLAGS) $(TYPEFLAGS) $+ -lm
-
-$(BENCHKISS): benchkiss.c $(SRCFILES)
- $(CC) -o $@ $(CFLAGS) $(TYPEFLAGS) $+ -lm
-
-$(BENCHFFTW): benchfftw.c pstats.c
- @echo "======attempting to build FFTW benchmark"
- @$(CC) -o $@ $(CFLAGS) -DDATATYPE$(DATATYPE) $+ $(FFTWLIB) $(FFTWLIBDIR) -lm || echo "FFTW not available for comparison"
-
-test: all
- @./$(TESTKFC)
- @echo "======1d & 2-d complex fft self test (type= $(DATATYPE) )"
- @./$(SELFTEST)
- @echo "======real FFT (type= $(DATATYPE) )"
- @./$(TESTREAL)
- @echo "======timing test (type=$(DATATYPE))"
- @./$(BENCHKISS) -x $(NUMFFTS) -n $(NFFT)
- @[ -x ./$(BENCHFFTW) ] && ./$(BENCHFFTW) -x $(NUMFFTS) -n $(NFFT) ||true
- @echo "======higher dimensions type=$(DATATYPE))"
- @./testkiss.py
-
-selftest.c:
- ./mk_test.py 10 12 14 > selftest.c
-selftest_short.c:
- ./mk_test.py -s 10 12 14 > selftest_short.c
-
-
-CXXFLAGS=-O3 -ffast-math -fomit-frame-pointer -I.. -I../tools -W -Wall
-testcpp: testcpp.cc ../kissfft.hh
- $(CXX) -o $@ $(CXXFLAGS) testcpp.cc -lm
-
-
-clean:
- rm -f *~ bm_* st_* tr_* kf_* tkfc_* ff_* ffr_* *.pyc *.pyo *.dat testcpp
diff --git a/examples/bare-metal/micro_speech/kissfft/test/benchfftw.c b/examples/bare-metal/micro_speech/kissfft/test/benchfftw.c
deleted file mode 100644
index 8824d1952..000000000
--- a/examples/bare-metal/micro_speech/kissfft/test/benchfftw.c
+++ /dev/null
@@ -1,94 +0,0 @@
-#include
-#include
-#include
-#include
-#include "pstats.h"
-
-#ifdef DATATYPEdouble
-
-#define CPXTYPE fftw_complex
-#define PLAN fftw_plan
-#define FFTMALLOC fftw_malloc
-#define MAKEPLAN fftw_plan_dft_1d
-#define DOFFT fftw_execute
-#define DESTROYPLAN fftw_destroy_plan
-#define FFTFREE fftw_free
-
-#elif defined(DATATYPEfloat)
-
-#define CPXTYPE fftwf_complex
-#define PLAN fftwf_plan
-#define FFTMALLOC fftwf_malloc
-#define MAKEPLAN fftwf_plan_dft_1d
-#define DOFFT fftwf_execute
-#define DESTROYPLAN fftwf_destroy_plan
-#define FFTFREE fftwf_free
-
-#endif
-
-#ifndef CPXTYPE
-int main(void)
-{
- fprintf(stderr,"Datatype not available in FFTW\n" );
- return 0;
-}
-#else
-int main(int argc,char ** argv)
-{
- int nfft=1024;
- int isinverse=0;
- int numffts=1000,i;
-
- CPXTYPE * in=NULL;
- CPXTYPE * out=NULL;
- PLAN p;
-
- pstats_init();
-
- while (1) {
- int c = getopt (argc, argv, "n:ix:h");
- if (c == -1)
- break;
- switch (c) {
- case 'n':
- nfft = atoi (optarg);
- break;
- case 'x':
- numffts = atoi (optarg);
- break;
- case 'i':
- isinverse = 1;
- break;
- case 'h':
- case '?':
- default:
- fprintf(stderr,"options:\n-n N: complex fft length\n-i: inverse\n-x N: number of ffts to compute\n"
- "");
- }
- }
-
- in=FFTMALLOC(sizeof(CPXTYPE) * nfft);
- out=FFTMALLOC(sizeof(CPXTYPE) * nfft);
- for (i=0;i
-#include
-#include
-#include
-#include "kiss_fft.h"
-#include "kiss_fftr.h"
-#include "kiss_fftnd.h"
-#include "kiss_fftndr.h"
-
-#include "pstats.h"
-
-static
-int getdims(int * dims, char * arg)
-{
- char *s;
- int ndims=0;
- while ( (s=strtok( arg , ",") ) ) {
- dims[ndims++] = atoi(s);
- //printf("%s=%d\n",s,dims[ndims-1]);
- arg=NULL;
- }
- return ndims;
-}
-
-int main(int argc,char ** argv)
-{
- int k;
- int nfft[32];
- int ndims = 1;
- int isinverse=0;
- int numffts=1000,i;
- kiss_fft_cpx * buf;
- kiss_fft_cpx * bufout;
- int real = 0;
-
- nfft[0] = 1024;// default
-
- while (1) {
- int c = getopt (argc, argv, "n:ix:r");
- if (c == -1)
- break;
- switch (c) {
- case 'r':
- real = 1;
- break;
- case 'n':
- ndims = getdims(nfft, optarg );
- if (nfft[0] != kiss_fft_next_fast_size(nfft[0]) ) {
- int ng = kiss_fft_next_fast_size(nfft[0]);
- fprintf(stderr,"warning: %d might be a better choice for speed than %d\n",ng,nfft[0]);
- }
- break;
- case 'x':
- numffts = atoi (optarg);
- break;
- case 'i':
- isinverse = 1;
- break;
- }
- }
- int nbytes = sizeof(kiss_fft_cpx);
- for (k=0;k
-
-#include "kiss_fft.h"
-#include "kiss_fftnd.h"
-#include "kiss_fftr.h"
-
-BEGIN_BENCH_DOC
-BENCH_DOC("name", "kissfft")
-BENCH_DOC("version", "1.0.1")
-BENCH_DOC("year", "2004")
-BENCH_DOC("author", "Mark Borgerding")
-BENCH_DOC("language", "C")
-BENCH_DOC("url", "http://sourceforge.net/projects/kissfft/")
-BENCH_DOC("copyright",
-"Copyright (c) 2003,4 Mark Borgerding\n"
-"\n"
-"All rights reserved.\n"
-"\n"
-"Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:\n"
-"\n"
-" * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.\n"
-" * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.\n"
-" * Neither the author nor the names of any contributors may be used to endorse or promote products derived from this software without specific prior written permission.\n"
-"\n"
- "THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n")
-END_BENCH_DOC
-
-int can_do(struct problem *p)
-{
- if (p->rank == 1) {
- if (p->kind == PROBLEM_REAL) {
- return (p->n[0] & 1) == 0; /* only even real is okay */
- } else {
- return 1;
- }
- } else {
- return p->kind == PROBLEM_COMPLEX;
- }
-}
-
-static kiss_fft_cfg cfg=NULL;
-static kiss_fftr_cfg cfgr=NULL;
-static kiss_fftnd_cfg cfgnd=NULL;
-
-#define FAILIF( c ) \
- if ( c ) do {\
- fprintf(stderr,\
- "kissfft: " #c " (file=%s:%d errno=%d %s)\n",\
- __FILE__,__LINE__ , errno,strerror( errno ) ) ;\
- exit(1);\
- }while(0)
-
-
-
-void setup(struct problem *p)
-{
- size_t i;
-
- /*
- fprintf(stderr,"%s %s %d-d ",
- (p->sign == 1)?"Inverse":"Forward",
- p->kind == PROBLEM_COMPLEX?"Complex":"Real",
- p->rank);
- */
- if (p->rank == 1) {
- if (p->kind == PROBLEM_COMPLEX) {
- cfg = kiss_fft_alloc (p->n[0], (p->sign == 1), 0, 0);
- FAILIF(cfg==NULL);
- }else{
- cfgr = kiss_fftr_alloc (p->n[0], (p->sign == 1), 0, 0);
- FAILIF(cfgr==NULL);
- }
- }else{
- int dims[5];
- for (i=0;irank;++i){
- dims[i] = p->n[i];
- }
- /* multi-dimensional */
- if (p->kind == PROBLEM_COMPLEX) {
- cfgnd = kiss_fftnd_alloc( dims , p->rank, (p->sign == 1), 0, 0 );
- FAILIF(cfgnd==NULL);
- }
- }
-}
-
-void doit(int iter, struct problem *p)
-{
- int i;
- void *in = p->in;
- void *out = p->out;
-
- if (p->in_place)
- out = p->in;
-
- if (p->rank == 1) {
- if (p->kind == PROBLEM_COMPLEX){
- for (i = 0; i < iter; ++i)
- kiss_fft (cfg, in, out);
- } else {
- /* PROBLEM_REAL */
- if (p->sign == -1) /* FORWARD */
- for (i = 0; i < iter; ++i)
- kiss_fftr (cfgr, in, out);
- else
- for (i = 0; i < iter; ++i)
- kiss_fftri (cfgr, in, out);
- }
- }else{
- /* multi-dimensional */
- for (i = 0; i < iter; ++i)
- kiss_fftnd(cfgnd,in,out);
- }
-}
-
-void done(struct problem *p)
-{
- free(cfg);
- cfg=NULL;
- free(cfgr);
- cfgr=NULL;
- free(cfgnd);
- cfgnd=NULL;
- UNUSED(p);
-}
diff --git a/examples/bare-metal/micro_speech/kissfft/test/fastfir.py b/examples/bare-metal/micro_speech/kissfft/test/fastfir.py
deleted file mode 100755
index 5ff432a36..000000000
--- a/examples/bare-metal/micro_speech/kissfft/test/fastfir.py
+++ /dev/null
@@ -1,102 +0,0 @@
-#!/usr/bin/env python
-
-from Numeric import *
-from FFT import *
-
-def make_random(len):
- import random
- res=[]
- for i in range(int(len)):
- r=random.uniform(-1,1)
- i=random.uniform(-1,1)
- res.append( complex(r,i) )
- return res
-
-def slowfilter(sig,h):
- translen = len(h)-1
- return convolve(sig,h)[translen:-translen]
-
-def nextpow2(x):
- return 2 ** math.ceil(math.log(x)/math.log(2))
-
-def fastfilter(sig,h,nfft=None):
- if nfft is None:
- nfft = int( nextpow2( 2*len(h) ) )
- H = fft( h , nfft )
- scraplen = len(h)-1
- keeplen = nfft-scraplen
- res=[]
- isdone = 0
- lastidx = nfft
- idx0 = 0
- while not isdone:
- idx1 = idx0 + nfft
- if idx1 >= len(sig):
- idx1 = len(sig)
- lastidx = idx1-idx0
- if lastidx <= scraplen:
- break
- isdone = 1
- Fss = fft(sig[idx0:idx1],nfft)
- fm = Fss * H
- m = inverse_fft(fm)
- res.append( m[scraplen:lastidx] )
- idx0 += keeplen
- return concatenate( res )
-
-def main():
- import sys
- from getopt import getopt
- opts,args = getopt(sys.argv[1:],'rn:l:')
- opts=dict(opts)
-
- siglen = int(opts.get('-l',1e4 ) )
- hlen =50
-
- nfft = int(opts.get('-n',128) )
- usereal = opts.has_key('-r')
-
- print 'nfft=%d'%nfft
- # make a signal
- sig = make_random( siglen )
- # make an impulse response
- h = make_random( hlen )
- #h=[1]*2+[0]*3
- if usereal:
- sig=[c.real for c in sig]
- h=[c.real for c in h]
-
- # perform MAC filtering
- yslow = slowfilter(sig,h)
- #print '',yslow,' '
- #yfast = fastfilter(sig,h,nfft)
- yfast = utilfastfilter(sig,h,nfft,usereal)
- #print yfast
- print 'len(yslow)=%d'%len(yslow)
- print 'len(yfast)=%d'%len(yfast)
- diff = yslow-yfast
- snr = 10*log10( abs( vdot(yslow,yslow) / vdot(diff,diff) ) )
- print 'snr=%s' % snr
- if snr < 10.0:
- print 'h=',h
- print 'sig=',sig[:5],'...'
- print 'yslow=',yslow[:5],'...'
- print 'yfast=',yfast[:5],'...'
-
-def utilfastfilter(sig,h,nfft,usereal):
- import compfft
- import os
- open( 'sig.dat','w').write( compfft.dopack(sig,'f',not usereal) )
- open( 'h.dat','w').write( compfft.dopack(h,'f',not usereal) )
- if usereal:
- util = './fastconvr'
- else:
- util = './fastconv'
- cmd = 'time %s -n %d -i sig.dat -h h.dat -o out.dat' % (util, nfft)
- print cmd
- ec = os.system(cmd)
- print 'exited->',ec
- return compfft.dounpack(open('out.dat').read(),'f',not usereal)
-
-if __name__ == "__main__":
- main()
diff --git a/examples/bare-metal/micro_speech/kissfft/test/fft.py b/examples/bare-metal/micro_speech/kissfft/test/fft.py
deleted file mode 100755
index 2705f71ff..000000000
--- a/examples/bare-metal/micro_speech/kissfft/test/fft.py
+++ /dev/null
@@ -1,196 +0,0 @@
-#!/usr/bin/env python
-
-import math
-import sys
-import random
-
-pi=math.pi
-e=math.e
-j=complex(0,1)
-
-def fft(f,inv):
- n=len(f)
- if n==1:
- return f
-
- for p in 2,3,5:
- if n%p==0:
- break
- else:
- raise Exception('%s not factorable ' % n)
-
- m = n/p
- Fout=[]
- for q in range(p): # 0,1
- fp = f[q::p] # every p'th time sample
- Fp = fft( fp ,inv)
- Fout.extend( Fp )
-
- for u in range(m):
- scratch = Fout[u::m] # u to end in strides of m
- for q1 in range(p):
- k = q1*m + u # indices to Fout above that became scratch
- Fout[ k ] = scratch[0] # cuz e**0==1 in loop below
- for q in range(1,p):
- if inv:
- t = e ** ( j*2*pi*k*q/n )
- else:
- t = e ** ( -j*2*pi*k*q/n )
- Fout[ k ] += scratch[q] * t
-
- return Fout
-
-def rifft(F):
- N = len(F) - 1
- Z = [0] * (N)
- for k in range(N):
- Fek = ( F[k] + F[-k-1].conjugate() )
- Fok = ( F[k] - F[-k-1].conjugate() ) * e ** (j*pi*k/N)
- Z[k] = Fek + j*Fok
-
- fp = fft(Z , 1)
-
- f = []
- for c in fp:
- f.append(c.real)
- f.append(c.imag)
- return f
-
-def real_fft( f,inv ):
- if inv:
- return rifft(f)
-
- N = len(f) / 2
-
- res = f[::2]
- ims = f[1::2]
-
- fp = [ complex(r,i) for r,i in zip(res,ims) ]
- print 'fft input ', fp
- Fp = fft( fp ,0 )
- print 'fft output ', Fp
-
- F = [ complex(0,0) ] * ( N+1 )
-
- F[0] = complex( Fp[0].real + Fp[0].imag , 0 )
-
- for k in range(1,N/2+1):
- tw = e ** ( -j*pi*(.5+float(k)/N ) )
-
- F1k = Fp[k] + Fp[N-k].conjugate()
- F2k = Fp[k] - Fp[N-k].conjugate()
- F2k *= tw
- F[k] = ( F1k + F2k ) * .5
- F[N-k] = ( F1k - F2k ).conjugate() * .5
- #F[N-k] = ( F1kp + e ** ( -j*pi*(.5+float(N-k)/N ) ) * F2kp ) * .5
- #F[N-k] = ( F1k.conjugate() - tw.conjugate() * F2k.conjugate() ) * .5
-
- F[N] = complex( Fp[0].real - Fp[0].imag , 0 )
- return F
-
-def main():
- #fft_func = fft
- fft_func = real_fft
-
- tvec = [0.309655,0.815653,0.768570,0.591841,0.404767,0.637617,0.007803,0.012665]
- Ftvec = [ complex(r,i) for r,i in zip(
- [3.548571,-0.378761,-0.061950,0.188537,-0.566981,0.188537,-0.061950,-0.378761],
- [0.000000,-1.296198,-0.848764,0.225337,0.000000,-0.225337,0.848764,1.296198] ) ]
-
- F = fft_func( tvec,0 )
-
- nerrs= 0
- for i in range(len(Ftvec)/2 + 1):
- if abs( F[i] - Ftvec[i] )> 1e-5:
- print 'F[%d]: %s != %s' % (i,F[i],Ftvec[i])
- nerrs += 1
-
- print '%d errors in forward fft' % nerrs
- if nerrs:
- return
-
- trec = fft_func( F , 1 )
-
- for i in range(len(trec) ):
- trec[i] /= len(trec)
-
- for i in range(len(tvec) ):
- if abs( trec[i] - tvec[i] )> 1e-5:
- print 't[%d]: %s != %s' % (i,tvec[i],trec[i])
- nerrs += 1
-
- print '%d errors in reverse fft' % nerrs
-
-
-def make_random(dims=[1]):
- import Numeric
- res = []
- for i in range(dims[0]):
- if len(dims)==1:
- r=random.uniform(-1,1)
- i=random.uniform(-1,1)
- res.append( complex(r,i) )
- else:
- res.append( make_random( dims[1:] ) )
- return Numeric.array(res)
-
-def flatten(x):
- import Numeric
- ntotal = Numeric.product(Numeric.shape(x))
- return Numeric.reshape(x,(ntotal,))
-
-def randmat( ndims ):
- dims=[]
- for i in range( ndims ):
- curdim = int( random.uniform(2,4) )
- dims.append( curdim )
- return make_random(dims )
-
-def test_fftnd(ndims=3):
- import FFT
- import Numeric
-
- x=randmat( ndims )
- print 'dimensions=%s' % str( Numeric.shape(x) )
- #print 'x=%s' %str(x)
- xver = FFT.fftnd(x)
- x2=myfftnd(x)
- err = xver - x2
- errf = flatten(err)
- xverf = flatten(xver)
- errpow = Numeric.vdot(errf,errf)+1e-10
- sigpow = Numeric.vdot(xverf,xverf)+1e-10
- snr = 10*math.log10(abs(sigpow/errpow) )
- if snr<80:
- print xver
- print x2
- print 'SNR=%sdB' % str( snr )
-
-def myfftnd(x):
- import Numeric
- xf = flatten(x)
- Xf = fftndwork( xf , Numeric.shape(x) )
- return Numeric.reshape(Xf,Numeric.shape(x) )
-
-def fftndwork(x,dims):
- import Numeric
- dimprod=Numeric.product( dims )
-
- for k in range( len(dims) ):
- cur_dim=dims[ k ]
- stride=dimprod/cur_dim
- next_x = [complex(0,0)]*len(x)
- for i in range(stride):
- next_x[i*cur_dim:(i+1)*cur_dim] = fft(x[i:(i+cur_dim)*stride:stride],0)
- x = next_x
- return x
-
-if __name__ == "__main__":
- try:
- nd = int(sys.argv[1])
- except:
- nd=None
- if nd:
- test_fftnd( nd )
- else:
- sys.exit(0)
diff --git a/examples/bare-metal/micro_speech/kissfft/test/mk_test.py b/examples/bare-metal/micro_speech/kissfft/test/mk_test.py
deleted file mode 100755
index 998b730f5..000000000
--- a/examples/bare-metal/micro_speech/kissfft/test/mk_test.py
+++ /dev/null
@@ -1,117 +0,0 @@
-#!/usr/bin/env python
-
-import FFT
-import sys
-import random
-import re
-j=complex(0,1)
-
-def randvec(n,iscomplex):
- if iscomplex:
- return [
- int(random.uniform(-32768,32767) ) + j*int(random.uniform(-32768,32767) )
- for i in range(n) ]
- else:
- return [ int(random.uniform(-32768,32767) ) for i in range(n) ]
-
-def c_format(v,round=0):
- if round:
- return ','.join( [ '{%d,%d}' %(int(c.real),int(c.imag) ) for c in v ] )
- else:
- s= ','.join( [ '{%.60f ,%.60f }' %(c.real,c.imag) for c in v ] )
- return re.sub(r'\.?0+ ',' ',s)
-
-def test_cpx( n,inverse ,short):
- v = randvec(n,1)
- scale = 1
- if short:
- minsnr=30
- else:
- minsnr=100
-
- if inverse:
- tvecout = FFT.inverse_fft(v)
- if short:
- scale = 1
- else:
- scale = len(v)
- else:
- tvecout = FFT.fft(v)
- if short:
- scale = 1.0/len(v)
-
- tvecout = [ c * scale for c in tvecout ]
-
-
- s="""#define NFFT %d""" % len(v) + """
- {
- double snr;
- kiss_fft_cpx test_vec_in[NFFT] = { """ + c_format(v) + """};
- kiss_fft_cpx test_vec_out[NFFT] = {""" + c_format( tvecout ) + """};
- kiss_fft_cpx testbuf[NFFT];
- void * cfg = kiss_fft_alloc(NFFT,%d,0,0);""" % inverse + """
-
- kiss_fft(cfg,test_vec_in,testbuf);
- snr = snr_compare(test_vec_out,testbuf,NFFT);
- printf("DATATYPE=" xstr(kiss_fft_scalar) ", FFT n=%d, inverse=%d, snr = %g dB\\n",NFFT,""" + str(inverse) + """,snr);
- if (snr<""" + str(minsnr) + """)
- exit_code++;
- free(cfg);
- }
-#undef NFFT
-"""
- return s
-
-def compare_func():
- s="""
-#define xstr(s) str(s)
-#define str(s) #s
-double snr_compare( kiss_fft_cpx * test_vec_out,kiss_fft_cpx * testbuf, int n)
-{
- int k;
- double sigpow,noisepow,err,snr,scale=0;
- kiss_fft_cpx err;
- sigpow = noisepow = .000000000000000000000000000001;
-
- for (k=0;k
-#include
-#include
-#include
-#include
-
-#include "pstats.h"
-
-static struct tms tms_beg;
-static struct tms tms_end;
-static int has_times = 0;
-
-
-void pstats_init(void)
-{
- has_times = times(&tms_beg) != -1;
-}
-
-static void tms_report(void)
-{
- double cputime;
- if (! has_times )
- return;
- times(&tms_end);
- cputime = ( ((float)tms_end.tms_utime + tms_end.tms_stime + tms_end.tms_cutime + tms_end.tms_cstime ) -
- ((float)tms_beg.tms_utime + tms_beg.tms_stime + tms_beg.tms_cutime + tms_beg.tms_cstime ) )
- / sysconf(_SC_CLK_TCK);
- fprintf(stderr,"\tcputime=%.3f\n" , cputime);
-}
-
-static void ps_report(void)
-{
- char buf[1024];
-#ifdef __APPLE__ /* MAC OS X */
- sprintf(buf,"ps -o command,majflt,minflt,rss,pagein,vsz -p %d 1>&2",getpid() );
-#else /* GNU/Linux */
- sprintf(buf,"ps -o comm,majflt,minflt,rss,drs,pagein,sz,trs,vsz %d 1>&2",getpid() );
-#endif
- if (system( buf )==-1) {
- perror("system call to ps failed");
- }
-}
-
-void pstats_report()
-{
- ps_report();
- tms_report();
-}
-
diff --git a/examples/bare-metal/micro_speech/kissfft/test/pstats.h b/examples/bare-metal/micro_speech/kissfft/test/pstats.h
deleted file mode 100644
index 71ff02a46..000000000
--- a/examples/bare-metal/micro_speech/kissfft/test/pstats.h
+++ /dev/null
@@ -1,7 +0,0 @@
-#ifndef PSTATS_H
-#define PSTATS_H
-
-void pstats_init(void);
-void pstats_report(void);
-
-#endif
diff --git a/examples/bare-metal/micro_speech/kissfft/test/tailscrap.m b/examples/bare-metal/micro_speech/kissfft/test/tailscrap.m
deleted file mode 100644
index abf904691..000000000
--- a/examples/bare-metal/micro_speech/kissfft/test/tailscrap.m
+++ /dev/null
@@ -1,26 +0,0 @@
-function maxabsdiff=tailscrap()
-% test code for circular convolution with the scrapped portion
-% at the tail of the buffer, rather than the front
-%
-% The idea is to rotate the zero-padded h (impulse response) buffer
-% to the left nh-1 samples, rotating the junk samples as well.
-% This could be very handy in avoiding buffer copies during fast filtering.
-nh=10;
-nfft=256;
-
-h=rand(1,nh);
-x=rand(1,nfft);
-
-hpad=[ h(nh) zeros(1,nfft-nh) h(1:nh-1) ];
-
-% baseline comparison
-y1 = filter(h,1,x);
-y1_notrans = y1(nh:nfft);
-
-% fast convolution
-y2 = ifft( fft(hpad) .* fft(x) );
-y2_notrans=y2(1:nfft-nh+1);
-
-maxabsdiff = max(abs(y2_notrans - y1_notrans))
-
-end
diff --git a/examples/bare-metal/micro_speech/kissfft/test/test_real.c b/examples/bare-metal/micro_speech/kissfft/test/test_real.c
deleted file mode 100644
index 36a0b086c..000000000
--- a/examples/bare-metal/micro_speech/kissfft/test/test_real.c
+++ /dev/null
@@ -1,172 +0,0 @@
-#include "kiss_fftr.h"
-#include "_kiss_fft_guts.h"
-#include
-#include
-#include
-
-static double cputime(void)
-{
- struct tms t;
- times(&t);
- return (double)(t.tms_utime + t.tms_stime)/ sysconf(_SC_CLK_TCK) ;
-}
-
-static
-kiss_fft_scalar rand_scalar(void)
-{
-#ifdef USE_SIMD
- return _mm_set1_ps(rand()-RAND_MAX/2);
-#else
- kiss_fft_scalar s = (kiss_fft_scalar)(rand() -RAND_MAX/2);
- return s/2;
-#endif
-}
-
-static
-double snr_compare( kiss_fft_cpx * vec1,kiss_fft_cpx * vec2, int n)
-{
- int k;
- double sigpow=1e-10,noisepow=1e-10,err,snr,scale=0;
-
-#ifdef USE_SIMD
- float *fv1 = (float*)vec1;
- float *fv2 = (float*)vec2;
- for (k=0;k<8*n;++k) {
- sigpow += *fv1 * *fv1;
- err = *fv1 - *fv2;
- noisepow += err*err;
- ++fv1;
- ++fv2;
- }
-#else
- for (k=0;k1)
- nfft = atoi(argv[1]);
- kiss_fft_cpx cin[nfft];
- kiss_fft_cpx cout[nfft];
- kiss_fft_cpx sout[nfft];
- kiss_fft_cfg kiss_fft_state;
- kiss_fftr_cfg kiss_fftr_state;
-
- kiss_fft_scalar rin[nfft+2];
- kiss_fft_scalar rout[nfft+2];
- kiss_fft_scalar zero;
- memset(&zero,0,sizeof(zero) ); // ugly way of setting short,int,float,double, or __m128 to zero
-
- srand(time(0));
-
- for (i=0;i1) {
- int k;
- for (k=1;k
-#include
-#include