Description
System information (version)
- OpenVINO=> 2022.1 (self build. commit hash: e89db1c)
- Operating System / Platform => Ubuntu20.04 (openvinotoolkit/docker_ci)
- Compiler => gcc (Ubuntu 9.3.0-17ubuntu1~20.04) 9.3.0
- Problem classification => Model Conversion
Detailed description
"Const data got different desc and content byte sizes (24 and 96 respectively)" error when converting ConvolutionBackpropData using compile_tools. compile_tools was compiled using source code cloned from the master branch of openvino as of January 6, 2022. (commit hash: e89db1c)
The IR and ONNX models that I am trying to convert using the compile_tool can be found at the following URL.
onnx_and_openvinoir.zip
This model is a lightweight model that is very suitable for edge devices to perform depth estimation with stereo cameras.
The input geometry of the OpenVINO IR model is static float32[1,6,120,160] and in NCHW format.
The error message is as follows. I have not been able to trace the inner workings of the compile_tool logic, but it seems that the shape prediction fails when converting the ConvolutionBackpropData.
/opt/intel/openvino/tools/compile_tool/compile_tool \
-m openvino/FP32/model_float32_opt.xml \
-ip U8 \
-d MYRIAD \
-VPU_NUMBER_OF_SHAVES 4 \
-VPU_NUMBER_OF_CMX_SLICES 4 \
-o openvino/myriad/model_float32_opt.blob
/opt/intel/repo/openvino/inference-engine/src/vpu/graph_transformer/src/model/model.cpp:198 duplicateData error: while duplicating level0/shared/prop0/WarpImageWithHypotheses/get_warp1d_coordinates_from_tile_hypotheses/get_warp_disparity@weights Const data got different desc and content byte sizes (24 and 96 respectively)
Steps to reproduce
- docker build (
masterbranch of openvino)
git clone https://github.com/openvinotoolkit/docker_ci.git && cd docker_ci
cd dockerfiles/ubuntu20/build_custom
docker build -t pinto0309/openvino:2022.1.20220106 .- docker pull
docker pull pinto0309/openvino:2022.1.20220106- Run the reproduction script
docker run --rm -it -v `pwd`:/workdir pinto0309/openvino:2022.1.20220106
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/opt/intel/openvino/runtime/lib/intel64
sudo ldconfig
/opt/intel/openvino/tools/compile_tool/compile_tool \
-m openvino/FP32/model_float32_opt.xml \
-ip U8 \
-d MYRIAD \
-VPU_NUMBER_OF_SHAVES 4 \
-VPU_NUMBER_OF_CMX_SLICES 4 \
-o openvino/myriad/model_float32_opt.blob
OpenVINO Runtime version ......... 2022.1.0
Build ........... custom_master_e89db1c6de8eb551949330114d476a2a4be499ed
[ INFO ] model name: model_float32_opt
[ INFO ] inputs
[ INFO ] input name: input
[ INFO ] input type: u8
[ INFO ] input shape: {1, 6, 120, 160}
[ INFO ] outputs
[ INFO ] output name: reference_output_disparity
[ INFO ] output type: f32
[ INFO ] output shape: {1, 120, 160, 1}
[ INFO ] outputs
[ INFO ] output name: secondary_output_disparity
[ INFO ] output type: f32
[ INFO ] output shape: {1, 120, 160, 1}
/opt/intel/repo/openvino/inference-engine/src/vpu/common/include/vpu/utils/error.hpp:39 [ GENERAL_ERROR ]
/opt/intel/repo/openvino/inference-engine/src/vpu/graph_transformer/src/frontend/frontend.cpp:448 Failed to compile layer "level0/shared/prop0/WarpImageWithHypotheses/get_warp1d_coordinates_from_tile_hypotheses/get_warp_disparity":
/opt/intel/repo/openvino/inference-engine/src/vpu/common/include/vpu/utils/error.hpp:39 [ GENERAL_ERROR ]
/opt/intel/repo/openvino/inference-engine/src/vpu/graph_transformer/src/model/model.cpp:198 duplicateData error: while duplicating level0/shared/prop0/WarpImageWithHypotheses/get_warp1d_coordinates_from_tile_hypotheses/get_warp_disparity@weights Const data got different desc and content byte sizes (24 and 96 respectively)Issue submission checklist
- I report the issue, it's not a question
- I checked the problem with documentation, FAQ, open issues, Stack Overflow, etc and have not found solution
- There is reproducer code and related data files: images, videos, models, etc.