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Model load error on CV25 #264

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AtsushiYokokawa opened this issue Jul 1, 2024 Discussed in #263 · 2 comments
Open

Model load error on CV25 #264

AtsushiYokokawa opened this issue Jul 1, 2024 Discussed in #263 · 2 comments
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bug Something isn't working

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@AtsushiYokokawa
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Discussed in #263

Originally posted by AtsushiYokokawa June 26, 2024
The model converted with tensorflow-to-larod-cv25 does not work.
Here are the steps I tried.

  • Environment

    • PC
      • OS: Windows 11 Pro (WSL: Ubuntu-20.04)
      • CPU: 11th Gen Intel(R) Core(TM) i7-11390H @ 3.40GHz 2.92 GHz
      • RAM: 16.0GB
      • GPU: Intel IRIS
      • Docker: Docker Desktop V4.17.0
      • CVTool: Ambarella_Toolchain_CNNGen_Basic_2.5.6_20231117
    • Camera
      • Camera: M3086-V
      • FW: 11.10.83

  • Steps

    • Model conversion 
      docker build --tag tensorflow-to-larod-cv25 --build-arg TRAIN_EPOCHS=1 .
docker cp $(docker create tensorflow-to-larod-cv25):/env/training/models/converted_model.tflite ./converted_model.tflite
    • Compile with CVTool 
      gen_image_list.py -f pics -o dra_image_bin/img_list.txt -ns -e .jpg -c 0 -d 0,0 -r 256,256 -bf dra_image_bin -bo dra_image_bin/dra_bin_list.txt
# [gen_image_list] Folder input received: pics
# [gen_image_list] Created file: dra_image_bin/img_list.txt
# (info) using #30 thread(s) to run imgtobin
# [info][#13] Convert 12a768fce3b51894.jpg to 12a768fce3b51894.bin ... Done
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# [gen_image_list] Folder input received: /home/docker/dra_image_bin
# [gen_image_list] Created file: dra_image_bin/dra_bin_list.txt
# [gen_image_list] Converted 100 files to binary, saved in /home/docker/dra_image_bin

      tfparser.py -p converted_model.tflite -o car_human_model -of ./out_car_human_model -isrc "is:1,3,256,256|iq|i:input_1=./dra_image_bin/dra_bin_list.txt|ic:255.00446258|idf:0,0,0,0" -odst "o:Identity|odf:fp32" -odst "o:Identity_1|odf:fp32" -c act-force-fx16,coeff-force-fx16
# 2024-06-26 07:18:36.574819: I tensorflow/stream_executor/platform/default/dso_loader.cc:50] Successfully opened dynamic library libcudart.so.12
# WARNING:tensorflow:Deprecation warnings have been disabled. Set TF_ENABLE_DEPRECATION_WARNINGS=1 to re-enable them.
# /usr/local/lib/python3.8/dist-packages/pandas/core/computation/expressions.py:20: UserWarning: Pandas requires version '2.7.3' or newer of 'numexpr' (version '2.7.1' currently installed).
#   from pandas.core.computation.check import NUMEXPR_INSTALLED
# WARNING:root:Limited tf.compat.v2.summary API due to missing TensorBoard installation.
# WARNING:tensorflow:From /usr/local/amba-cv-tools-basic.2.5.6.0.1245.ubuntu-20.04/cv2/tv2/release/frameworklibs/cv2.basic.2.5.6.0.1245.ubu2004/lib/python3.8/site-packages/frameworklibs/tensorflow/tflite/tf_lite_supported_ops.py:60: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead.
# 
# WARNING:tensorflow:From /usr/local/amba-cv-tools-basic.2.5.6.0.1245.ubuntu-20.04/cv2/tv2/release/frameworklibs/cv2.basic.2.5.6.0.1245.ubu2004/lib/python3.8/site-packages/frameworklibs/tensorflow/tflite/tf_lite_supported_ops.py:60: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead.
# 
# WARNING:tensorflow:From /usr/local/amba-cv-tools-basic.2.5.6.0.1245.ubuntu-20.04/cv2/tv2/release/frameworklibs/cv2.basic.2.5.6.0.1245.ubu2004/lib/python3.8/site-packages/frameworklibs/tensorflow/tflite/tf_lite_supported_ops.py:61: The name tf.nn.avg_pool is deprecated. Please use tf.nn.avg_pool2d instead.
# 
# WARNING:tensorflow:From /usr/local/amba-cv-tools-basic.2.5.6.0.1245.ubuntu-20.04/cv2/tv2/release/frameworklibs/cv2.basic.2.5.6.0.1245.ubu2004/lib/python3.8/site-packages/frameworklibs/tensorflow/tflite/tf_lite_supported_ops.py:61: The name tf.nn.avg_pool is deprecated. Please use tf.nn.avg_pool2d instead.
# 
# WARNING:tensorflow:From /usr/local/amba-cv-tools-basic.2.5.6.0.1245.ubuntu-20.04/cv2/tv2/release/frameworklibs/cv2.basic.2.5.6.0.1245.ubu2004/lib/python3.8/site-packages/frameworklibs/tensorflow/tflite/tf_lite_supported_ops.py:104: The name tf.batch_to_space_nd is deprecated. Please use tf.batch_to_space instead.
# 
# WARNING:tensorflow:From /usr/local/amba-cv-tools-basic.2.5.6.0.1245.ubuntu-20.04/cv2/tv2/release/frameworklibs/cv2.basic.2.5.6.0.1245.ubu2004/lib/python3.8/site-packages/frameworklibs/tensorflow/tflite/tf_lite_supported_ops.py:104: The name tf.batch_to_space_nd is deprecated. Please use tf.batch_to_space instead.
# 
# WARNING:tensorflow:From /usr/local/amba-cv-tools-basic.2.5.6.0.1245.ubuntu-20.04/cv2/tv2/release/frameworklibs/cv2.basic.2.5.6.0.1245.ubu2004/lib/python3.8/site-packages/frameworklibs/tensorflow/tflite/tf_lite_supported_ops.py:105: The name tf.space_to_batch_nd is deprecated. Please use tf.space_to_batch instead.
# 
# WARNING:tensorflow:From /usr/local/amba-cv-tools-basic.2.5.6.0.1245.ubuntu-20.04/cv2/tv2/release/frameworklibs/cv2.basic.2.5.6.0.1245.ubu2004/lib/python3.8/site-packages/frameworklibs/tensorflow/tflite/tf_lite_supported_ops.py:105: The name tf.space_to_batch_nd is deprecated. Please use tf.space_to_batch instead.
# 
# INFO: 06/26/2024 07:18:41.987708 logger.py:372 [TFLite_Parser] Application logs will be written to the log directory: ./logs
# INFO: 06/26/2024 07:18:42.127938 tf_lite_v2.py:254 [TFLite_Parser] [MAIN] TFLite model provided by the user: /home/docker/converted_model.tflite
# INFO: 06/26/2024 07:18:42.129113 tf_lite_v2.py:255 [TFLite_Parser] [MAIN] List of user output nodes: ['Identity', 'Identity_1']
# INFO: 06/26/2024 07:18:42.130067 tf_lite_v2.py:256 [TFLite_Parser] [MAIN] Do not use quantization data formats: False
# INFO: 06/26/2024 07:18:42.131749 tf_lite_v2.py:257 [TFLite_Parser] [MAIN] Invoke Asymmetric adjustement: False
# INFO: 06/26/2024 07:18:42.132419 tf_lite_v2.py:258 [TFLite_Parser] [MAIN] Schema file path: /usr/local/amba-cv-tools-basic.2.5.6.0.1245.ubuntu-20.04/cv2/tv2/release/frameworklibs/cv2.basic.2.5.6.0.1245.ubu2004/bin/schema.fbs
# INFO: 06/26/2024 07:18:42.132673 tf_lite_v2.py:259 [TFLite_Parser] [MAIN] FLATC executable path: /usr/local/amba-cv-tools-basic.2.5.6.0.1245.ubuntu-20.04/cv2/tv2/release/frameworklibs/cv2.basic.2.5.6.0.1245.ubu2004/bin/flatc
# INFO: 06/26/2024 07:18:42.134538 tf_lite_v2.py:260 [TFLite_Parser] [MAIN] Checkpoint path: /home/docker//reconstructed_pb_model/converted_model_ckpt
# INFO: 06/26/2024 07:18:42.136037 tf_lite_v2.py:261 [TFLite_Parser] [MAIN] Output protobuf reconstructed: /home/docker//reconstructed_pb_model/converted_model_reconstructed.pb
# INFO: 06/26/2024 07:18:42.136290 tf_lite_v2.py:285 [TFLite_Parser] [FLATC EXE] Converting tflite model to JSON file using flatc executable
# INFO: 06/26/2024 07:18:43.497503 tf_lite_v2.py:427 [TFLite_Parser] [RECONSTRUCT PROTO] Convert JSON file to protobuf
# INFO: 06/26/2024 07:18:43.731525 tf_lite_v2.py:316 [TFLite_Parser] [SET IO NODE] Input of the model: ['input_1']
# INFO: 06/26/2024 07:18:43.731851 tf_lite_v2.py:317 [TFLite_Parser] [SET IO NODE] Output of the model: ['Identity', 'Identity_1']
# 2024-06-26 07:18:43.736630: W tensorflow/stream_executor/platform/default/dso_loader.cc:61] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/amba-cv-tools-basic.2.5.6.0.1245.ubuntu-20.04/cv22/tv2/release/Amalgam/cv22.basic.2.5.6.0.1245.ubu2004/lib:/usr/local/amba-cv-tools-basic.2.5.6.0.1245.ubuntu-20.04/cv22/tv2/release/libvdg/cv22.basic.2.5.6.0.1245.ubu2004/lib:/usr/local/amba-cv-tools-basic.2.5.6.0.1245.ubuntu-20.04/cv22/tv2/release/VpRef/cv22.basic.2.5.6.0.1245.ubu2004/lib:/usr/local/amba-cv-tools-basic.2.5.6.0.1245.ubuntu-20.04/cv22/tv2/release/Zamboni/cv22.basic.2.5.6.0.1245.ubu2004/lib:/usr/local/amba-cv-tools-basic.2.5.6.0.1245.ubuntu-20.04/cv2/tv2/release/AmbaCnn/cv2.basic.2.5.6.0.1245.ubu2004/lib:/usr/local/amba-cv-tools-basic.2.5.6.0.1245.ubuntu-20.04/cv2/tv2/release/ApfCanon/1.13/x86_64-linux/lib:/usr/local/amba-cv-tools-basic.2.5.6.0.1245.ubuntu-20.04/cv2/tv2/release/LibAmb/1.19/x86_64-linux/lib:/usr/local/amba-cv-tools-basic.2.5.6.0.1245.ubuntu-20.04/cv2/tv2/release/LibApf/1.13/x86_64-linux/lib
# 2024-06-26 07:18:43.736839: E tensorflow/stream_executor/cuda/cuda_driver.cc:282] failed call to cuInit: UNKNOWN ERROR (303)
# 2024-06-26 07:18:43.737283: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (05ba275a9be5): /proc/driver/nvidia/version does not exist
# 2024-06-26 07:18:43.762300: I tensorflow/core/platform/profile_utils/cpu_utils.cc:109] CPU Frequency: 2918410000 Hz
# 2024-06-26 07:18:43.763492: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x4671360 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
# 2024-06-26 07:18:43.763553: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
# INFO:tensorflow:Froze 54 variables.
# INFO: 06/26/2024 07:18:45.354419 graph_util_impl.py:334 [TFLite_Parser] Froze 54 variables.
# INFO:tensorflow:Converted 54 variables to const ops.
# INFO: 06/26/2024 07:18:45.377763 graph_util_impl.py:394 [TFLite_Parser] Converted 54 variables to const ops.
# 2024-06-26 07:18:45.434623: I tensorflow/tools/graph_transforms/transform_graph.cc:318] Applying strip_unused_nodes
# 2024-06-26 07:18:45.444534: I tensorflow/tools/graph_transforms/transform_graph.cc:318] Applying fold_constants
# 2024-06-26 07:18:45.485948: I tensorflow/tools/graph_transforms/transform_graph.cc:318] Applying remove_nodes
# 2024-06-26 07:18:45.489095: I tensorflow/tools/graph_transforms/remove_nodes.cc:78] Skipping replacement for Identity
# 2024-06-26 07:18:45.489224: I tensorflow/tools/graph_transforms/remove_nodes.cc:78] Skipping replacement for Identity_1
# 2024-06-26 07:18:45.493166: I tensorflow/tools/graph_transforms/remove_nodes.cc:78] Skipping replacement for Identity
# 2024-06-26 07:18:45.493280: I tensorflow/tools/graph_transforms/remove_nodes.cc:78] Skipping replacement for Identity_1
# 2024-06-26 07:18:45.500988: I tensorflow/tools/graph_transforms/transform_graph.cc:318] Applying remove_attribute
# 2024-06-26 07:18:45.502429: I tensorflow/tools/graph_transforms/transform_graph.cc:318] Applying strip_unused_nodes
# 2024-06-26 07:18:45.504371: I tensorflow/tools/graph_transforms/transform_graph.cc:318] Applying fold_constants
# 2024-06-26 07:18:45.511826: I tensorflow/tools/graph_transforms/transform_graph.cc:318] Applying sort_by_execution_order
# INFO: 06/26/2024 07:18:45.559772 tf_lite_v2.py:355 [TFLite_Parser] Reconstructed and optmized protobuf can be found here: /home/docker//reconstructed_pb_model/converted_model_reconstructed.pb
# WARN: 06/26/2024 07:18:45.560278 tf_lite_v2.py:375 [TFLite_Parser]
# TFLite model converted to a frozen protobuf but cannot be validated since loading the TFLite model using Interpreter fails. Please check the version of the TFLite model.
# Reconstructed frozen protobuf is saved in the reconstructed_pb_models/ folder. Use the /home/docker//reconstructed_pb_model/converted_model_reconstructed.pb model for porting.
# *** (info) importing amba_cnn_py @ /usr/local/amba-cv-tools-basic.2.5.6.0.1245.ubuntu-20.04/cv2/tv2/release/AmbaCnn/cv2.basic.2.5.6.0.1245.ubu2004/python/amba_cnn_py
# *** (info) setting project cv22
# opened session 6536 on libambacnn cv2.basic.2.5.6.0.1245.ubu2004 (9322cec*0), at 2024-06-26 07:18:45
# libambacnn session config: target_device = cv22, gpu_id = -1, mode = default, split = False
# [info] drc proc time  =  157.628 s @ 100 %
# [info] drc num frames = 100
# [info] drc proc time  = 157.628493 s
# [info] drc pproc time = 0.001153 s
# [info] drc total time = 290.714981 s
# [info] dr2 time = (   1.515 calc +    1.224 stat) s x 100 frames

      vas -auto -show-progress out_car_human_model/car_human_model.vas
# car_human_model: EXPAND 68 (expansion progress: 100%)
# car_human_model: DONE expansion
# car_human_model: DONE validation
# car_human_model: DONE analyzing
# car_human_model: DONE opt
# car_human_model: DONE buffering
# car_human_model: SPLIT 0 (split progress: 46%)
# car_human_model: SPLIT 1 (split progress: 55%)
# car_human_model: SPLIT 2 (split progress: 100%)
# car_human_model: DONE split
# car_human_model: DONE all

      cavalry_gen -d vas_output -f car_human_model_cavalry.bin
# Using cavalry_gen version latest
# 
# Save to file car_human_model_cavalry.bin with file size 3319784.
    • Test model on CV25 camera 
      larod-client -g ./car_human_model_cavalry2.bin  -c ambarella-cvflow -R 10 -w 5 -i ''
# 2024-06-26T17:54:07.971 Connecting to larod...
# 2024-06-26T17:54:07.981 Connected
# 2024-06-26T17:54:08.030 ERROR: When loading model synchronously (-2): Could not load model: Could not initialize net

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@AtsushiYokokawa
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AtsushiYokokawa commented Jul 1, 2024 •
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As stated in the discussion, it seems that compatibility between AXIS OS and the Ambarella Toolchain has not been ensured.

Please check it.

@pataxis
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pataxis commented Jul 16, 2024

Hi @AtsushiYokokawa , thank you for your feedback. We'll get back when we had time to investigate it.

@pataxis pataxis added the bug Something isn't working label Sep 17, 2024
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