Dockerfile - Add support for arm64 build

.github/workflows/build-image.yml

@@ -28,21 +28,25 @@ jobs:
         - name: cuda12.4
           dockerfile: cuda12.4
           tags: superbench/main:cuda12.4
+          platforms: linux/amd64, linux/arm64
           runner: [self-hosted]
           build_args: "NUM_MAKE_JOBS=16"
         - name: cuda12.2
           dockerfile: cuda12.2
           tags: superbench/main:cuda12.2
+          platforms: linux/amd64
           runner: [self-hosted]
           build_args: "NUM_MAKE_JOBS=16"
         - name: cuda11.1.1
           dockerfile: cuda11.1.1
           tags: superbench/main:cuda11.1.1,superbench/superbench:latest
+          platforms: linux/amd64
           runner: ubuntu-latest
           build_args: "NUM_MAKE_JOBS=8"
         - name: rocm6.2
           dockerfile: rocm6.2.x
           tags: superbench/main:rocm6.2
+          platforms: linux/amd64
           runner: [self-hosted]
           build_args: "NUM_MAKE_JOBS=16"
     steps:
@@ -125,7 +129,7 @@ jobs:
         id: docker_build
         uses: docker/build-push-action@v2
         with:
-          platforms: linux/amd64
+          platforms: ${{ matrix.platforms }}
           context: .
           file: ${{ steps.metadata.outputs.dockerfile }}
           push: ${{ github.event_name != 'pull_request' }}

dockerfile/cuda12.4.dockerfile

@@ -19,6 +19,10 @@ FROM nvcr.io/nvidia/pytorch:24.03-py3
 LABEL maintainer="SuperBench"
 
 ENV DEBIAN_FRONTEND=noninteractive
+
+ARG TARGETPLATFORM
+ARG TARGETARCH
+
 RUN apt-get update && \
     apt-get install -y --no-install-recommends \
     autoconf \
@@ -63,8 +67,8 @@ ARG NUM_MAKE_JOBS=
 
 # Install Docker
 ENV DOCKER_VERSION=20.10.8
-RUN cd /tmp && \
-    wget -q https://download.docker.com/linux/static/stable/x86_64/docker-${DOCKER_VERSION}.tgz -O docker.tgz && \
+RUN TARGETARCH_HW=$(uname -m) && \
+    wget -q https://download.docker.com/linux/static/stable/${TARGETARCH_HW}/docker-${DOCKER_VERSION}.tgz -O docker.tgz && \
     tar --extract --file docker.tgz --strip-components 1 --directory /usr/local/bin/ && \
     rm docker.tgz
 
@@ -80,40 +84,43 @@ RUN mkdir -p /root/.ssh && \
 
 # Install OFED
 ENV OFED_VERSION=23.07-0.5.1.2
-RUN cd /tmp && \
-    wget -q https://content.mellanox.com/ofed/MLNX_OFED-${OFED_VERSION}/MLNX_OFED_LINUX-${OFED_VERSION}-ubuntu22.04-x86_64.tgz && \
-    tar xzf MLNX_OFED_LINUX-${OFED_VERSION}-ubuntu22.04-x86_64.tgz && \
-    MLNX_OFED_LINUX-${OFED_VERSION}-ubuntu22.04-x86_64/mlnxofedinstall --user-space-only --without-fw-update --without-ucx-cuda --force --all && \
+RUN TARGETARCH_HW=$(uname -m) && \
+    cd /tmp && \
+    wget -q https://content.mellanox.com/ofed/MLNX_OFED-${OFED_VERSION}/MLNX_OFED_LINUX-${OFED_VERSION}-ubuntu22.04-${TARGETARCH_HW}.tgz && \
+    tar xzf MLNX_OFED_LINUX-${OFED_VERSION}-ubuntu22.04-${TARGETARCH_HW}.tgz && \
+    MLNX_OFED_LINUX-${OFED_VERSION}-ubuntu22.04-${TARGETARCH_HW}/mlnxofedinstall --user-space-only --without-fw-update --without-ucx-cuda --force --all && \
     rm -rf /tmp/MLNX_OFED_LINUX-${OFED_VERSION}*
 
 # Install HPC-X
 ENV HPCX_VERSION=v2.18
-RUN cd /opt && \
+RUN TARGETARCH_HW=$(uname -m) && \
+    cd /opt && \
     rm -rf hpcx && \
-    wget https://content.mellanox.com/hpc/hpc-x/${HPCX_VERSION}/hpcx-${HPCX_VERSION}-gcc-mlnx_ofed-ubuntu22.04-cuda12-x86_64.tbz -O hpcx.tbz && \
+    wget https://content.mellanox.com/hpc/hpc-x/${HPCX_VERSION}/hpcx-${HPCX_VERSION}-gcc-mlnx_ofed-ubuntu22.04-cuda12-${TARGETARCH_HW}.tbz -O hpcx.tbz && \
     tar xf hpcx.tbz && \
-    mv hpcx-${HPCX_VERSION}-gcc-mlnx_ofed-ubuntu22.04-cuda12-x86_64 hpcx && \
+    mv hpcx-${HPCX_VERSION}-gcc-mlnx_ofed-ubuntu22.04-cuda12-${TARGETARCH_HW} hpcx && \
     rm hpcx.tbz
 
-# Install Intel MLC
-RUN cd /tmp && \
+# Installs specific to amd64 platform
+RUN if [ "$TARGETARCH" = "amd64" ]; then \
+    # Install Intel MLC
+    cd /tmp && \
     wget -q https://downloadmirror.intel.com/793041/mlc_v3.11.tgz -O mlc.tgz && \
     tar xzf mlc.tgz Linux/mlc && \
     cp ./Linux/mlc /usr/local/bin/ && \
-    rm -rf ./Linux mlc.tgz
-
-# Install AOCC compiler
-RUN cd /tmp && \
+    rm -rf ./Linux mlc.tgz && \
+    # Install AOCC compiler
     wget https://download.amd.com/developer/eula/aocc-compiler/aocc-compiler-4.0.0_1_amd64.deb && \
     apt install -y ./aocc-compiler-4.0.0_1_amd64.deb && \
-    rm -rf aocc-compiler-4.0.0_1_amd64.deb
-
-# Install AMD BLIS
-RUN cd /tmp && \
+    rm -rf aocc-compiler-4.0.0_1_amd64.deb && \
+    # Install AMD BLIS
     wget https://download.amd.com/developer/eula/blis/blis-4-0/aocl-blis-linux-aocc-4.0.tar.gz && \
     tar xzf aocl-blis-linux-aocc-4.0.tar.gz && \
     mv amd-blis /opt/AMD && \
-    rm -rf aocl-blis-linux-aocc-4.0.tar.gz
+    rm -rf aocl-blis-linux-aocc-4.0.tar.gz; \
+    else \
+    echo "Skipping Intel MLC, AOCC and AMD Bliss installations for non-amd64 architecture: $TARGETARCH"; \
+    fi
 
 # Install NCCL 2.23.4
 RUN cd /tmp && \

setup.py

@@ -215,8 +215,8 @@ def run(self):
             ],
             'ort': [
                 'onnx>=1.10.2',
-                'onnxruntime-gpu==1.10.0; python_version<"3.10"',
-                'onnxruntime-gpu; python_version>="3.10"',
+                'onnxruntime-gpu==1.10.0; python_version<"3.10" and platform_machine == "x86_64"',
+                'onnxruntime-gpu; python_version>="3.10" and platform_machine == "x86_64"',
             ],
             'nvidia': ['py3nvml>=0.2.6'],
             'amd': ['amdsmi'],

superbench/benchmarks/micro_benchmarks/cpu_stream_performance.py

@@ -23,7 +23,7 @@ def __init__(self, name, parameters=''):
         super().__init__(name, parameters)
 
         self._bin_name = 'streamZen3.exe'
-        self.__cpu_arch = ['other', 'zen3', 'zen4']
+        self.__cpu_arch = ['other', 'zen3', 'zen4', 'neo2']
 
     def add_parser_arguments(self):
         """Add the specified arguments."""
@@ -80,6 +80,8 @@ def _preprocess(self):
             exe = 'streamZen3.exe'
         elif self._args.cpu_arch == 'zen4':
             exe = 'streamZen4.exe'
+        elif self._args.cpu_arch == 'neo2':
+            exe = 'streamNeo2.exe'
         else:
             exe = 'streamx86.exe'
 

superbench/benchmarks/micro_benchmarks/cuda_decode_performance/CMakeLists.txt

@@ -4,114 +4,120 @@
 cmake_minimum_required(VERSION 3.18)
 project(cuda_decode_performance)
 
-find_package(CUDA QUIET)
-if(CUDA_FOUND)
-  set(CMAKE_CXX_STANDARD 17)
-  set(CMAKE_CXX_STANDARD_REQUIRED ON)
-
-  set(THIRD_PARTY_SAMPLE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/../../../../third_party/Video_Codec_SDK/Samples)
-  set(NVCODEC_PUBLIC_INTERFACE_DIR ${THIRD_PARTY_SAMPLE_DIR}/../Interface)
-  set(NVCODEC_UTILS_DIR ${THIRD_PARTY_SAMPLE_DIR}/Utils)
-  set(NV_CODEC_DIR ${THIRD_PARTY_SAMPLE_DIR}/NvCodec)
-  set(NV_DEC_DIR ${THIRD_PARTY_SAMPLE_DIR}/NvCodec/NvDecoder)
-
-  if(CMAKE_SYSTEM_NAME STREQUAL "Linux")
-    find_package(PkgConfig REQUIRED)
-    pkg_check_modules(PC_AVCODEC REQUIRED IMPORTED_TARGET libavcodec)
-    pkg_check_modules(PC_AVFORMAT REQUIRED IMPORTED_TARGET libavformat)
-    pkg_check_modules(PC_AVUTIL REQUIRED IMPORTED_TARGET libavutil)
-    pkg_check_modules(PC_SWRESAMPLE REQUIRED IMPORTED_TARGET libswresample)
-
-    set(NV_FFMPEG_HDRS ${PC_AVCODEC_INCLUDE_DIRS})
-    find_library(AVCODEC_LIBRARY NAMES avcodec
-    HINTS
-    ${PC_AVCODEC_LIBDIR}
-    ${PC_AVCODEC_LIBRARY_DIRS}
-    )
-    find_library(AVFORMAT_LIBRARY NAMES avformat
-    HINTS
-    ${PC_AVFORMAT_LIBDIR}
-    ${PC_AVFORMAT_LIBRARY_DIRS}
-    )
-    find_library(AVUTIL_LIBRARY NAMES avutil
-    HINTS
-    ${PC_AVUTIL_LIBDIR}
-    ${PC_AVUTIL_LIBRARY_DIRS}
-    )
-    find_library(SWRESAMPLE_LIBRARY NAMES swresample
-    HINTS
-    ${PC_SWRESAMPLE_LIBDIR}
-    ${PC_SWRESAMPLE_LIBRARY_DIRS}
-    )
-    set(AVCODEC_LIB ${AVCODEC_LIBRARY})
-    set(AVFORMAT_LIB ${AVFORMAT_LIBRARY})
-    set(AVUTIL_LIB ${AVUTIL_LIBRARY})
-    set(SWRESAMPLE_LIB ${SWRESAMPLE_LIBRARY})
-  endif()
-
-  set(APP_SOURCES
-  ${CMAKE_CURRENT_SOURCE_DIR}/AppDecPerf.cpp
-  )
-
-  set(NV_DEC_SOURCES
-  ${NV_DEC_DIR}/NvDecoder.cpp
-  ${CMAKE_CURRENT_SOURCE_DIR}/OptimizedNvDecoder.cpp
-  )
-
-  set(NV_DEC_HDRS
-  ${NV_DEC_DIR}/NvDecoder.h
-  ${NVCODEC_PUBLIC_INTERFACE_DIR}/cuviddec.h
-  ${NVCODEC_PUBLIC_INTERFACE_DIR}/nvcuvid.h
-  ${NVCODEC_UTILS_DIR}/NvCodecUtils.h
-  ${NVCODEC_UTILS_DIR}/FFmpegDemuxer.h
-  ${CMAKE_CURRENT_SOURCE_DIR}/ThreadPoolUtils.h
-  ${CMAKE_CURRENT_SOURCE_DIR}/OptimizedNvDecoder.h
-  )
-
-  source_group( "headers" FILES ${NV_DEC_HDRS} )
-  source_group( "sources" FILES ${APP_SOURCES} ${NV_DEC_SOURCES})
-  set(CMAKE_LIBRARY_PATH "${CUDA_TOOLKIT_ROOT_DIR}/lib64/stubs;${CUDA_TOOLKIT_ROOT_DIR}/lib/stubs;${CUDA_TOOLKIT_ROOT_DIR}/lib64;${CUDA_TOOLKIT_ROOT_DIR}/lib;${CMAKE_LIBRARY_PATH}")
-  find_package(CUDA)
-  set(CUDA_HOST_COMPILER ${CMAKE_CXX_COMPILER})
-  set(CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS};-gencode arch=compute_50,code=\"sm_50,compute_50\")
-  if ( CMAKE_COMPILER_IS_GNUCC )
-    if(NOT "${CUDA_NVCC_FLAGS}" MATCHES "-std=c\\+\\+11" )
-      list(APPEND CUDA_NVCC_FLAGS -std=c++11)
-    endif()
-  endif()
-
-  # Check if the file exists
-  if (NOT EXISTS "/usr/local/lib/libnvcuvid.so" )
-      execute_process(
-        COMMAND sudo ln -s /usr/lib/x86_64-linux-gnu/libnvcuvid.so.1 /usr/local/lib/libnvcuvid.so
-        RESULT_VARIABLE result
-      )  
-      if(result)
-        message(FATAL_ERROR "Failed to create symbolic link for nvcuvid lib: ${result}")
-      endif()
-  endif ()
-
-  find_library(CUVID_LIB nvcuvid
-  HINTS
-  "/usr/local/lib/"
-  "${CMAKE_CURRENT_SOURCE_DIR}/../../../../third_party/Video_Codec_SDK/Lib/linux/stubs/x86_64/"
-  )
-
-  cuda_add_executable(${PROJECT_NAME} ${APP_SOURCES} ${NV_DEC_SOURCES} ${NV_DEC_HDRS})
-
-  set_target_properties(${PROJECT_NAME} PROPERTIES CUDA_SEPARABLE_COMPILATION ON)
-
-  target_include_directories(${PROJECT_NAME} PUBLIC ${CUDA_INCLUDE_DIRS}
-  ${NVCODEC_PUBLIC_INTERFACE_DIR}
-  ${NVCODEC_UTILS_DIR}
-  ${NV_CODEC_DIR}
-  ${NV_APPDEC_COMMON_DIR}
-  ${NV_FFMPEG_HDRS}
-  ${THIRD_PARTY_SAMPLE_DIR}
-  )
-
-  target_link_libraries(${PROJECT_NAME} ${CUDA_CUDA_LIBRARY} ${CMAKE_DL_LIBS} ${CUVID_LIB} ${AVCODEC_LIB}
-  ${AVFORMAT_LIB} ${AVUTIL_LIB} ${SWRESAMPLE_LIB})
-
-  install(TARGETS ${PROJECT_NAME} RUNTIME DESTINATION bin LIBRARY DESTINATION lib)
+# Check architecture
+if(CMAKE_SYSTEM_PROCESSOR MATCHES "aarch64|arm64")
+   message(WARNING "Skipping Cuda decode Performance build. This build only supports x86_64 arch.")
+else()
+   find_package(CUDA QUIET)
+   if(CUDA_FOUND)
+   set(CMAKE_CXX_STANDARD 17)
+   set(CMAKE_CXX_STANDARD_REQUIRED ON)
+
+   set(THIRD_PARTY_SAMPLE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/../../../../third_party/Video_Codec_SDK/Samples)
+   set(NVCODEC_PUBLIC_INTERFACE_DIR ${THIRD_PARTY_SAMPLE_DIR}/../Interface)
+   set(NVCODEC_UTILS_DIR ${THIRD_PARTY_SAMPLE_DIR}/Utils)
+   set(NV_CODEC_DIR ${THIRD_PARTY_SAMPLE_DIR}/NvCodec)
+   set(NV_DEC_DIR ${THIRD_PARTY_SAMPLE_DIR}/NvCodec/NvDecoder)
+
+   if(CMAKE_SYSTEM_NAME STREQUAL "Linux")
+       find_package(PkgConfig REQUIRED)
+       pkg_check_modules(PC_AVCODEC REQUIRED IMPORTED_TARGET libavcodec)
+       pkg_check_modules(PC_AVFORMAT REQUIRED IMPORTED_TARGET libavformat)
+       pkg_check_modules(PC_AVUTIL REQUIRED IMPORTED_TARGET libavutil)
+       pkg_check_modules(PC_SWRESAMPLE REQUIRED IMPORTED_TARGET libswresample)
+
+       set(NV_FFMPEG_HDRS ${PC_AVCODEC_INCLUDE_DIRS})
+       find_library(AVCODEC_LIBRARY NAMES avcodec
+       HINTS
+       ${PC_AVCODEC_LIBDIR}
+       ${PC_AVCODEC_LIBRARY_DIRS}
+       )
+       find_library(AVFORMAT_LIBRARY NAMES avformat
+       HINTS
+       ${PC_AVFORMAT_LIBDIR}
+       ${PC_AVFORMAT_LIBRARY_DIRS}
+       )
+       find_library(AVUTIL_LIBRARY NAMES avutil
+       HINTS
+       ${PC_AVUTIL_LIBDIR}
+       ${PC_AVUTIL_LIBRARY_DIRS}
+       )
+       find_library(SWRESAMPLE_LIBRARY NAMES swresample
+       HINTS
+       ${PC_SWRESAMPLE_LIBDIR}
+       ${PC_SWRESAMPLE_LIBRARY_DIRS}
+       )
+       set(AVCODEC_LIB ${AVCODEC_LIBRARY})
+       set(AVFORMAT_LIB ${AVFORMAT_LIBRARY})
+       set(AVUTIL_LIB ${AVUTIL_LIBRARY})
+       set(SWRESAMPLE_LIB ${SWRESAMPLE_LIBRARY})
+   endif()
+
+   set(APP_SOURCES
+   ${CMAKE_CURRENT_SOURCE_DIR}/AppDecPerf.cpp
+   )
+
+   set(NV_DEC_SOURCES
+   ${NV_DEC_DIR}/NvDecoder.cpp
+   ${CMAKE_CURRENT_SOURCE_DIR}/OptimizedNvDecoder.cpp
+   )
+
+   set(NV_DEC_HDRS
+   ${NV_DEC_DIR}/NvDecoder.h
+   ${NVCODEC_PUBLIC_INTERFACE_DIR}/cuviddec.h
+   ${NVCODEC_PUBLIC_INTERFACE_DIR}/nvcuvid.h
+   ${NVCODEC_UTILS_DIR}/NvCodecUtils.h
+   ${NVCODEC_UTILS_DIR}/FFmpegDemuxer.h
+   ${CMAKE_CURRENT_SOURCE_DIR}/ThreadPoolUtils.h
+   ${CMAKE_CURRENT_SOURCE_DIR}/OptimizedNvDecoder.h
+   )
+
+   source_group( "headers" FILES ${NV_DEC_HDRS} )
+   source_group( "sources" FILES ${APP_SOURCES} ${NV_DEC_SOURCES})
+   set(CMAKE_LIBRARY_PATH "${CUDA_TOOLKIT_ROOT_DIR}/lib64/stubs;${CUDA_TOOLKIT_ROOT_DIR}/lib/stubs;${CUDA_TOOLKIT_ROOT_DIR}/lib64;${CUDA_TOOLKIT_ROOT_DIR}/lib;${CMAKE_LIBRARY_PATH}")
+   find_package(CUDA)
+   set(CUDA_HOST_COMPILER ${CMAKE_CXX_COMPILER})
+   set(CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS};-gencode arch=compute_50,code=\"sm_50,compute_50\")
+   if ( CMAKE_COMPILER_IS_GNUCC )
+       if(NOT "${CUDA_NVCC_FLAGS}" MATCHES "-std=c\\+\\+11" )
+       list(APPEND CUDA_NVCC_FLAGS -std=c++11)
+       endif()
+   endif()
+
+   # Check if the file exists
+   if (NOT EXISTS "/usr/local/lib/libnvcuvid.so" )
+       execute_process(
+           COMMAND sudo ln -s /usr/lib/x86_64-linux-gnu/libnvcuvid.so.1 /usr/local/lib/libnvcuvid.so
+           RESULT_VARIABLE result
+       )
+       if(result)
+           message(FATAL_ERROR "Failed to create symbolic link for nvcuvid lib: ${result}")
+       endif()
+   endif ()
+
+   find_library(CUVID_LIB nvcuvid
+   HINTS
+   "/usr/local/lib/"
+   "${CMAKE_CURRENT_SOURCE_DIR}/../../../../third_party/Video_Codec_SDK/Lib/linux/stubs/x86_64/"
+   )
+
+   cuda_add_executable(${PROJECT_NAME} ${APP_SOURCES} ${NV_DEC_SOURCES} ${NV_DEC_HDRS})
+
+   set_target_properties(${PROJECT_NAME} PROPERTIES CUDA_SEPARABLE_COMPILATION ON)
+
+   target_include_directories(${PROJECT_NAME} PUBLIC ${CUDA_INCLUDE_DIRS}
+   ${NVCODEC_PUBLIC_INTERFACE_DIR}
+   ${NVCODEC_UTILS_DIR}
+   ${NV_CODEC_DIR}
+   ${NV_APPDEC_COMMON_DIR}
+   ${NV_FFMPEG_HDRS}
+   ${THIRD_PARTY_SAMPLE_DIR}
+   )
+
+   target_link_libraries(${PROJECT_NAME} ${CUDA_CUDA_LIBRARY} ${CMAKE_DL_LIBS} ${CUVID_LIB} ${AVCODEC_LIB}
+   ${AVFORMAT_LIB} ${AVUTIL_LIB} ${SWRESAMPLE_LIB})
+
+   install(TARGETS ${PROJECT_NAME} RUNTIME DESTINATION bin LIBRARY DESTINATION lib)
+   endif()
+
 endif()