[error] Eager execution of tf.constant with unsupported shape

Dlmu-LCC commented 2 years ago

Issue Type

Others

OS

Windows

OS architecture

x86_64

Programming Language

Python

Framework

OpenVINO, TensorFlow, TensorFlowLite

Download URL for ONNX / OpenVINO IR

light_head_pose_onnx.zip light_head_pose_openvino.zip

Convert Script

python E:/Desk/openvino2tensorflow-1.29.5/openvino2tensorflow/openvino2tensorflow.py --model_path D:/light_head_pose.xml --model_output_path D:/tflite --output_no_quant_float32_tflitelight_head_pose

Description

After I got this error log, I try to follow the 6-7 in the README.But this is the first time I use openvino2tensorflow,I don't have much experience in solving this problem.And I try to find the same model from model zoo.Unfortunatly,the model zoo doesn't have this model.This is the source code link for this model:https://github.com/Shaw-git/Lightweight-Head-Pose-Estimation

Relevant Log Output

Log

```shell (openvino) E:\lite-tool\openvino_2021.4.582\bin>python E:/Desk/openvino2tensorflow-1.29.5/openvino2tensorflow/openvino2tensorflow.py --model_path D:/tflite/light_head_pose.xml --model_output_path D:/tflite --output_no_quant_float32_tflite 2022-04-26 16:44:53.827936: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cudart64_110.dll [07mTensorFlow/Keras model building process starts[0m ====================================== Layer structure ===================================================================== layer_type: Input layer_id: 0 tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 224, 224, 3), dtype=tf.float32, name='input'), name='input', description="created by layer 'input'") ==================================================================================== layer_type: Const layer_id: 1 tf_layers_dict_shape: (16, 3, 3, 3) tf_layers_dict_value: [[[[-1.28747150e-01 -1.79778248e-01 -1.87690750e-01] [-1.81370229e-01 -2.24691197e-01 -7.11100549e-02] [ 5.43487165e-03 -1.55331627e-01 -2.79038828e-02]] [[ 1.70179948e-01 2.06866816e-01 2.18064368e-01] [ 2.43742153e-01 1.72565579e-01 1.83622167e-01] [ 1.70595631e-01 2.17485026e-01 1.60763070e-01]] [[ 7.52735138e-02 -5.85605502e-02 -2.00096215e-03] [-3.50489505e-02 3.34885269e-02 3.20423365e-04] [-3.40099446e-02 -6.10364452e-02 -1.52224973e-01]]] [[[-1.36320636e-01 -1.67207584e-01 -1.07728586e-01] [-1.22013189e-01 -1.51277915e-01 -4.40817475e-02] [-2.10978851e-01 -1.48651049e-01 -3.88675369e-02]] [[ 1.14311501e-01 9.20454115e-02 6.24174289e-02] [ 7.75540993e-02 4.42218892e-02 1.44786328e-01] [ 6.85275793e-02 7.61931762e-02 1.51274413e-01]] [[ 2.46647820e-02 -5.40999621e-02 -6.30642697e-02] [ 2.25816742e-02 4.65028957e-02 -1.23553211e-02] [-5.12099676e-02 -7.71066919e-02 -5.11256559e-03]]] [[[ 1.81233346e-01 1.98712274e-01 4.69815172e-02] [ 1.37449965e-01 1.22061670e-01 7.35906661e-02] [ 1.64439648e-01 7.76147246e-02 7.49363750e-02]] [[-1.33596390e-01 -6.66654706e-02 -1.00376137e-01] [-6.14763647e-02 -9.67425555e-02 -8.39873180e-02] [-1.66738138e-01 -9.71747711e-02 -1.49526313e-01]] [[-2.98264399e-02 1.63798425e-02 -1.46990055e-02] [ 1.21713892e-01 -2.51148790e-02 1.22141615e-02] [ 1.52740017e-01 1.48366112e-02 1.50693178e-01]]] [[[ 4.30048965e-02 2.36362629e-02 -2.61549689e-02] [-4.86083701e-02 -1.36116430e-01 -2.41583839e-01] [ 2.29078941e-02 2.60728388e-03 -4.87001538e-02]] [[ 7.54323527e-02 1.63607690e-02 -5.40516526e-02] [-5.47976121e-02 -1.35384515e-01 -1.98946312e-01] [ 6.23108707e-02 2.23674793e-02 1.89474504e-03]] [[ 2.60076709e-02 8.87992699e-03 5.72559191e-03] [-5.46668954e-02 -6.74684495e-02 -1.60331324e-01] [-7.63600576e-04 -3.76588991e-03 2.45746225e-02]]] [[[ 4.03045379e-02 4.43353839e-02 4.44512852e-02] [ 3.01445611e-02 4.12219651e-02 3.87447551e-02] [ 2.52422001e-02 3.54552381e-02 3.81103978e-02]] [[-1.14546893e-02 1.88537333e-02 1.94186438e-02] [-2.67775152e-02 2.42400821e-03 8.85657687e-03] [-3.45621817e-02 -1.38242282e-02 2.92249676e-02]] [[ 1.11913858e-02 2.81512048e-02 2.67681535e-02] [-2.97377934e-03 3.09829619e-02 3.37624066e-02] [-1.92176143e-03 2.71749846e-03 3.78932133e-02]]] [[[ 3.71080115e-02 1.71357706e-01 1.21181503e-01] [-1.88742146e-01 3.54197733e-02 9.14414227e-02] [-2.39831418e-01 -2.47864202e-01 -7.37123948e-04]] [[ 3.51550765e-02 2.02050969e-01 1.95344746e-01] [-2.73537248e-01 -1.39134051e-02 1.89775065e-01] [-2.57146448e-01 -1.81950122e-01 1.06003046e-01]] [[-4.27778624e-02 1.82434365e-01 1.56811059e-01] [-1.52297780e-01 2.04871409e-02 1.33456841e-01] [-1.09270617e-01 -2.72415876e-01 5.74372783e-02]]] [[[ 4.33606990e-02 1.05885692e-01 3.83133218e-02] [ 3.67755033e-02 1.09290026e-01 9.25927088e-02] [ 5.07854391e-03 7.29644895e-02 8.41502547e-02]] [[-5.71533069e-02 9.49448068e-03 1.61378123e-02] [-4.26099114e-02 -1.31590366e-02 6.01572392e-04] [-5.03813177e-02 -3.48532684e-02 4.82697738e-03]] [[-2.99337786e-02 2.13847235e-02 5.03260829e-02] [-3.44969295e-02 -1.79638565e-02 6.57583307e-03] [-4.91834059e-02 -6.22534426e-04 2.47594733e-02]]] [[[-7.67406449e-02 -9.81493294e-02 -3.59135643e-02] [-1.30107716e-01 -5.34366928e-02 9.42651704e-02] [-4.53546084e-02 -2.43719295e-02 4.66528460e-02]] [[-1.48435235e-01 -5.48934191e-02 6.12657703e-03] [-1.62395030e-01 -3.33649889e-02 9.66478437e-02] [-4.19244319e-02 -5.47898235e-03 1.02174774e-01]] [[-1.07965730e-01 -3.29639902e-03 2.80103199e-02] [-1.04351513e-01 -1.47217382e-02 1.29063427e-01] [-1.01593666e-01 2.84857349e-04 7.72118121e-02]]] [[[-2.88470596e-01 -2.50198513e-01 -3.08140018e-03] [-1.17348239e-01 -2.32543126e-02 9.76700038e-02] [-2.25045756e-02 1.33933619e-01 1.32455036e-01]] [[-3.73067617e-01 -3.27504516e-01 -1.05475903e-01] [-1.50587067e-01 -1.61686614e-01 -8.88413712e-02] [-9.21801664e-03 1.13199867e-01 -1.36139384e-02]] [[-3.24048288e-02 -2.00075004e-02 1.06272645e-01] [-1.03328023e-02 8.75283927e-02 1.82657018e-01] [ 1.54394969e-01 1.59294546e-01 1.09638453e-01]]] [[[ 5.52593529e-01 2.43644997e-01 2.17595443e-01] [ 2.53885925e-01 6.39485046e-02 -3.26147020e-01] [-2.37111494e-01 -3.16664785e-01 -4.29414093e-01]] [[ 3.39498818e-01 4.34197426e-01 2.61163324e-01] [ 2.96125591e-01 6.30766749e-02 -1.48551971e-01] [-2.04828635e-01 -2.68663287e-01 -4.68664706e-01]] [[ 5.20952791e-02 1.26757517e-01 5.13066724e-02] [-1.54216304e-01 1.27303347e-01 5.10577112e-03] [-1.38535742e-02 -2.35472292e-01 -1.14686549e-01]]] [[[-7.84049332e-02 -1.86174475e-02 9.53090116e-02] [-1.22842804e-01 1.02609396e-02 1.38994798e-01] [-1.11310884e-01 1.25922695e-01 1.80290490e-01]] [[-2.50101537e-01 -1.97451964e-01 8.43051374e-02] [-1.63394257e-01 -2.45421641e-02 1.22322232e-01] [-1.10611863e-01 4.00208170e-03 1.78452820e-01]] [[-2.30570249e-02 2.43468732e-02 1.93510681e-01] [-2.06400350e-01 1.15230940e-02 1.03151456e-01] [-4.69967425e-02 7.59930611e-02 1.51867568e-01]]] [[[-1.27221523e-02 -2.49238382e-03 8.36617500e-03] [-2.77287569e-02 -1.16607756e-04 4.07919614e-03] [-3.01736947e-02 -2.04785429e-02 -6.26348192e-03]] [[-2.72265635e-02 -2.79248245e-02 -1.03645949e-02] [-2.41047163e-02 -2.36889794e-02 8.06364405e-04] [-2.32501943e-02 -2.00510267e-02 1.51562865e-03]] [[-1.39369285e-02 -3.17132473e-02 -2.68528759e-02] [-4.25120536e-03 -1.49036171e-02 -5.95835445e-04] [-8.87892675e-03 -1.64482612e-02 -9.38815624e-03]]] [[[-4.38917428e-02 -1.16293728e-01 -6.84261695e-02] [-5.74721433e-02 -1.22569449e-01 -1.52162313e-01] [ 4.98240534e-03 -9.59625691e-02 -1.12204500e-01]] [[-5.38447127e-02 -3.84530537e-02 -4.63660248e-03] [ 1.17157241e-02 -2.55785119e-02 -5.73641574e-03] [ 5.00605404e-02 -1.47240134e-02 1.13022039e-02]] [[-1.91540942e-02 -6.54362887e-02 -3.04396916e-02] [ 6.21595141e-03 3.01347412e-02 4.39182222e-02] [ 5.25878482e-02 4.91308905e-02 6.98990375e-02]]] [[[-1.46309496e-03 9.12385527e-03 3.08206994e-02] [-3.80585110e-03 -3.81508656e-03 5.03432751e-02] [ 4.08498049e-02 8.80996808e-02 1.22935139e-01]] [[ 4.81613800e-02 2.29146238e-02 -2.82667782e-02] [ 5.70256598e-02 2.83022281e-02 5.52848391e-02] [ 1.76027212e-02 1.01964451e-01 1.37629166e-01]] [[ 2.45439596e-02 2.76081171e-02 -1.07265357e-02] [-4.66378368e-02 -3.42933573e-02 8.83975066e-03] [-2.82661021e-02 1.89348906e-02 3.23766395e-02]]] [[[ 8.99920389e-02 8.63246694e-02 6.21820502e-02] [ 3.41172814e-02 7.88429007e-02 1.03779905e-01] [-1.54874742e-03 1.16031416e-01 1.50894240e-01]] [[ 2.75607873e-03 6.26871875e-03 -6.02213778e-02] [ 1.06142079e-02 3.46064009e-02 1.08221779e-02] [-3.92941907e-02 2.33856682e-02 3.66214588e-02]] [[ 5.52414171e-02 2.33600419e-02 -5.42076584e-03] [-2.04358455e-02 -1.54962298e-02 -4.60756309e-02] [-3.78624722e-02 1.89115852e-03 -2.70520337e-03]]] [[[ 5.87712526e-02 2.51914654e-02 1.08421080e-01] [ 2.93965265e-02 -1.00023329e-01 -9.71960500e-02] [ 4.13462631e-02 -2.34382153e-01 -3.49721938e-01]] [[-2.76685078e-02 -1.84212215e-02 -1.77112464e-02] [-3.39081511e-02 -9.86262411e-02 -6.23201057e-02] [ 5.05372621e-02 -7.04121441e-02 -2.22428873e-01]] [[-3.32143828e-02 -3.94973978e-02 -1.12504710e-03] [-5.96313330e-04 -2.14654822e-02 -5.74261532e-04] [ 5.40604107e-02 2.79192929e-03 5.05764484e-02]]]] ==================================================================================== 2022-04-26 16:44:56.482527: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library nvcuda.dll 2022-04-26 16:44:57.530572: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1733] Found device 0 with properties: pciBusID: 0000:01:00.0 name: NVIDIA GeForce GTX 1660 Ti computeCapability: 7.5 coreClock: 1.59GHz coreCount: 24 deviceMemorySize: 6.00GiB deviceMemoryBandwidth: 268.26GiB/s 2022-04-26 16:44:57.540948: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cudart64_110.dll 2022-04-26 16:44:57.567025: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cublas64_11.dll 2022-04-26 16:44:57.594045: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cublasLt64_11.dll 2022-04-26 16:44:57.617432: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cufft64_10.dll 2022-04-26 16:44:57.630348: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library curand64_10.dll 2022-04-26 16:44:57.638314: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cusolver64_11.dll'; dlerror: cusolver64_11.dll not found 2022-04-26 16:44:57.646792: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cusparse64_11.dll 2022-04-26 16:44:57.653398: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cudnn64_8.dll 2022-04-26 16:44:57.658858: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1766] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform. Skipping registering GPU devices... 2022-04-26 16:44:57.671566: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX AVX2 To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. 2022-04-26 16:44:57.689698: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1258] Device interconnect StreamExecutor with strength 1 edge matrix: 2022-04-26 16:44:57.693991: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1264] layer_type: Convolution layer_id: 2 input_layer0: layer_id=0: KerasTensor(type_spec=TensorSpec(shape=(1, 224, 224, 3), dtype=tf.float32, name='input'), name='input', description="created by layer 'input'") input_layer1_value: layer_id=1: [[[[-1.28747150e-01 -1.79778248e-01 -1.87690750e-01] [-1.81370229e-01 -2.24691197e-01 -7.11100549e-02] [ 5.43487165e-03 -1.55331627e-01 -2.79038828e-02]] [[ 1.70179948e-01 2.06866816e-01 2.18064368e-01] [ 2.43742153e-01 1.72565579e-01 1.83622167e-01] [ 1.70595631e-01 2.17485026e-01 1.60763070e-01]] [[ 7.52735138e-02 -5.85605502e-02 -2.00096215e-03] [-3.50489505e-02 3.34885269e-02 3.20423365e-04] [-3.40099446e-02 -6.10364452e-02 -1.52224973e-01]]] [[[-1.36320636e-01 -1.67207584e-01 -1.07728586e-01] [-1.22013189e-01 -1.51277915e-01 -4.40817475e-02] [-2.10978851e-01 -1.48651049e-01 -3.88675369e-02]] [[ 1.14311501e-01 9.20454115e-02 6.24174289e-02] [ 7.75540993e-02 4.42218892e-02 1.44786328e-01] [ 6.85275793e-02 7.61931762e-02 1.51274413e-01]] [[ 2.46647820e-02 -5.40999621e-02 -6.30642697e-02] [ 2.25816742e-02 4.65028957e-02 -1.23553211e-02] [-5.12099676e-02 -7.71066919e-02 -5.11256559e-03]]] [[[ 1.81233346e-01 1.98712274e-01 4.69815172e-02] [ 1.37449965e-01 1.22061670e-01 7.35906661e-02] [ 1.64439648e-01 7.76147246e-02 7.49363750e-02]] [[-1.33596390e-01 -6.66654706e-02 -1.00376137e-01] [-6.14763647e-02 -9.67425555e-02 -8.39873180e-02] [-1.66738138e-01 -9.71747711e-02 -1.49526313e-01]] [[-2.98264399e-02 1.63798425e-02 -1.46990055e-02] [ 1.21713892e-01 -2.51148790e-02 1.22141615e-02] [ 1.52740017e-01 1.48366112e-02 1.50693178e-01]]] [[[ 4.30048965e-02 2.36362629e-02 -2.61549689e-02] [-4.86083701e-02 -1.36116430e-01 -2.41583839e-01] [ 2.29078941e-02 2.60728388e-03 -4.87001538e-02]] [[ 7.54323527e-02 1.63607690e-02 -5.40516526e-02] [-5.47976121e-02 -1.35384515e-01 -1.98946312e-01] [ 6.23108707e-02 2.23674793e-02 1.89474504e-03]] [[ 2.60076709e-02 8.87992699e-03 5.72559191e-03] [-5.46668954e-02 -6.74684495e-02 -1.60331324e-01] [-7.63600576e-04 -3.76588991e-03 2.45746225e-02]]] [[[ 4.03045379e-02 4.43353839e-02 4.44512852e-02] [ 3.01445611e-02 4.12219651e-02 3.87447551e-02] [ 2.52422001e-02 3.54552381e-02 3.81103978e-02]] [[-1.14546893e-02 1.88537333e-02 1.94186438e-02] [-2.67775152e-02 2.42400821e-03 8.85657687e-03] [-3.45621817e-02 -1.38242282e-02 2.92249676e-02]] [[ 1.11913858e-02 2.81512048e-02 2.67681535e-02] [-2.97377934e-03 3.09829619e-02 3.37624066e-02] [-1.92176143e-03 2.71749846e-03 3.78932133e-02]]] [[[ 3.71080115e-02 1.71357706e-01 1.21181503e-01] [-1.88742146e-01 3.54197733e-02 9.14414227e-02] [-2.39831418e-01 -2.47864202e-01 -7.37123948e-04]] [[ 3.51550765e-02 2.02050969e-01 1.95344746e-01] [-2.73537248e-01 -1.39134051e-02 1.89775065e-01] [-2.57146448e-01 -1.81950122e-01 1.06003046e-01]] [[-4.27778624e-02 1.82434365e-01 1.56811059e-01] [-1.52297780e-01 2.04871409e-02 1.33456841e-01] [-1.09270617e-01 -2.72415876e-01 5.74372783e-02]]] [[[ 4.33606990e-02 1.05885692e-01 3.83133218e-02] [ 3.67755033e-02 1.09290026e-01 9.25927088e-02] [ 5.07854391e-03 7.29644895e-02 8.41502547e-02]] [[-5.71533069e-02 9.49448068e-03 1.61378123e-02] [-4.26099114e-02 -1.31590366e-02 6.01572392e-04] [-5.03813177e-02 -3.48532684e-02 4.82697738e-03]] [[-2.99337786e-02 2.13847235e-02 5.03260829e-02] [-3.44969295e-02 -1.79638565e-02 6.57583307e-03] [-4.91834059e-02 -6.22534426e-04 2.47594733e-02]]] [[[-7.67406449e-02 -9.81493294e-02 -3.59135643e-02] [-1.30107716e-01 -5.34366928e-02 9.42651704e-02] [-4.53546084e-02 -2.43719295e-02 4.66528460e-02]] [[-1.48435235e-01 -5.48934191e-02 6.12657703e-03] [-1.62395030e-01 -3.33649889e-02 9.66478437e-02] [-4.19244319e-02 -5.47898235e-03 1.02174774e-01]] [[-1.07965730e-01 -3.29639902e-03 2.80103199e-02] [-1.04351513e-01 -1.47217382e-02 1.29063427e-01] [-1.01593666e-01 2.84857349e-04 7.72118121e-02]]] [[[-2.88470596e-01 -2.50198513e-01 -3.08140018e-03] [-1.17348239e-01 -2.32543126e-02 9.76700038e-02] [-2.25045756e-02 1.33933619e-01 1.32455036e-01]] [[-3.73067617e-01 -3.27504516e-01 -1.05475903e-01] [-1.50587067e-01 -1.61686614e-01 -8.88413712e-02] [-9.21801664e-03 1.13199867e-01 -1.36139384e-02]] [[-3.24048288e-02 -2.00075004e-02 1.06272645e-01] [-1.03328023e-02 8.75283927e-02 1.82657018e-01] [ 1.54394969e-01 1.59294546e-01 1.09638453e-01]]] [[[ 5.52593529e-01 2.43644997e-01 2.17595443e-01] [ 2.53885925e-01 6.39485046e-02 -3.26147020e-01] [-2.37111494e-01 -3.16664785e-01 -4.29414093e-01]] [[ 3.39498818e-01 4.34197426e-01 2.61163324e-01] [ 2.96125591e-01 6.30766749e-02 -1.48551971e-01] [-2.04828635e-01 -2.68663287e-01 -4.68664706e-01]] [[ 5.20952791e-02 1.26757517e-01 5.13066724e-02] [-1.54216304e-01 1.27303347e-01 5.10577112e-03] [-1.38535742e-02 -2.35472292e-01 -1.14686549e-01]]] [[[-7.84049332e-02 -1.86174475e-02 9.53090116e-02] [-1.22842804e-01 1.02609396e-02 1.38994798e-01] [-1.11310884e-01 1.25922695e-01 1.80290490e-01]] [[-2.50101537e-01 -1.97451964e-01 8.43051374e-02] [-1.63394257e-01 -2.45421641e-02 1.22322232e-01] [-1.10611863e-01 4.00208170e-03 1.78452820e-01]] [[-2.30570249e-02 2.43468732e-02 1.93510681e-01] [-2.06400350e-01 1.15230940e-02 1.03151456e-01] [-4.69967425e-02 7.59930611e-02 1.51867568e-01]]] [[[-1.27221523e-02 -2.49238382e-03 8.36617500e-03] [-2.77287569e-02 -1.16607756e-04 4.07919614e-03] [-3.01736947e-02 -2.04785429e-02 -6.26348192e-03]] [[-2.72265635e-02 -2.79248245e-02 -1.03645949e-02] [-2.41047163e-02 -2.36889794e-02 8.06364405e-04] [-2.32501943e-02 -2.00510267e-02 1.51562865e-03]] [[-1.39369285e-02 -3.17132473e-02 -2.68528759e-02] [-4.25120536e-03 -1.49036171e-02 -5.95835445e-04] [-8.87892675e-03 -1.64482612e-02 -9.38815624e-03]]] [[[-4.38917428e-02 -1.16293728e-01 -6.84261695e-02] [-5.74721433e-02 -1.22569449e-01 -1.52162313e-01] [ 4.98240534e-03 -9.59625691e-02 -1.12204500e-01]] [[-5.38447127e-02 -3.84530537e-02 -4.63660248e-03] [ 1.17157241e-02 -2.55785119e-02 -5.73641574e-03] [ 5.00605404e-02 -1.47240134e-02 1.13022039e-02]] [[-1.91540942e-02 -6.54362887e-02 -3.04396916e-02] [ 6.21595141e-03 3.01347412e-02 4.39182222e-02] [ 5.25878482e-02 4.91308905e-02 6.98990375e-02]]] [[[-1.46309496e-03 9.12385527e-03 3.08206994e-02] [-3.80585110e-03 -3.81508656e-03 5.03432751e-02] [ 4.08498049e-02 8.80996808e-02 1.22935139e-01]] [[ 4.81613800e-02 2.29146238e-02 -2.82667782e-02] [ 5.70256598e-02 2.83022281e-02 5.52848391e-02] [ 1.76027212e-02 1.01964451e-01 1.37629166e-01]] [[ 2.45439596e-02 2.76081171e-02 -1.07265357e-02] [-4.66378368e-02 -3.42933573e-02 8.83975066e-03] [-2.82661021e-02 1.89348906e-02 3.23766395e-02]]] [[[ 8.99920389e-02 8.63246694e-02 6.21820502e-02] [ 3.41172814e-02 7.88429007e-02 1.03779905e-01] [-1.54874742e-03 1.16031416e-01 1.50894240e-01]] [[ 2.75607873e-03 6.26871875e-03 -6.02213778e-02] [ 1.06142079e-02 3.46064009e-02 1.08221779e-02] [-3.92941907e-02 2.33856682e-02 3.66214588e-02]] [[ 5.52414171e-02 2.33600419e-02 -5.42076584e-03] [-2.04358455e-02 -1.54962298e-02 -4.60756309e-02] [-3.78624722e-02 1.89115852e-03 -2.70520337e-03]]] [[[ 5.87712526e-02 2.51914654e-02 1.08421080e-01] [ 2.93965265e-02 -1.00023329e-01 -9.71960500e-02] [ 4.13462631e-02 -2.34382153e-01 -3.49721938e-01]] [[-2.76685078e-02 -1.84212215e-02 -1.77112464e-02] [-3.39081511e-02 -9.86262411e-02 -6.23201057e-02] [ 5.05372621e-02 -7.04121441e-02 -2.22428873e-01]] [[-3.32143828e-02 -3.94973978e-02 -1.12504710e-03] [-5.96313330e-04 -2.14654822e-02 -5.74261532e-04] [ 5.40604107e-02 2.79192929e-03 5.05764484e-02]]]] tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 112, 112, 16), dtype=tf.float32, name=None), name='conv2d/Conv2D:0', description="created by layer 'conv2d'") ==================================================================================== layer_type: Const layer_id: 3 tf_layers_dict_shape: (1, 16, 1, 1) tf_layers_dict_value: [[[[ 1.9170843 ]] [[-0.05211098]] [[ 0.07338348]] [[-0.9777949 ]] [[-0.40412796]] [[ 0.9435003 ]] [[ 0.8182072 ]] [[-0.34414697]] [[-0.5237893 ]] [[ 1.1847252 ]] [[ 0.87586915]] [[-0.25714302]] [[-0.07764916]] [[ 0.46551746]] [[ 0.10781193]] [[-0.53103 ]]]] ==================================================================================== layer_type: Add layer_id: 4 input_layer0: layer_id=2: KerasTensor(type_spec=TensorSpec(shape=(1, 112, 112, 16), dtype=tf.float32, name=None), name='conv2d/Conv2D:0', description="created by layer 'conv2d'") input_layer1_value: layer_id=3: [[[[ 1.9170843 ]] [[-0.05211098]] [[ 0.07338348]] [[-0.9777949 ]] [[-0.40412796]] [[ 0.9435003 ]] [[ 0.8182072 ]] [[-0.34414697]] [[-0.5237893 ]] [[ 1.1847252 ]] [[ 0.87586915]] [[-0.25714302]] [[-0.07764916]] [[ 0.46551746]] [[ 0.10781193]] [[-0.53103 ]]]] tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 112, 112, 16), dtype=tf.float32, name=None), name='tf.math.add/Add:0', description="created by layer 'tf.math.add'") ==================================================================================== layer_type: ReLU layer_id: 5 input_layer0: layer_id=4: KerasTensor(type_spec=TensorSpec(shape=(1, 112, 112, 16), dtype=tf.float32, name=None), name='tf.math.add/Add:0', description="created by layer 'tf.math.add'") tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 112, 112, 16), dtype=tf.float32, name=None), name='tf.nn.relu/Relu:0', description="created by layer 'tf.nn.relu'") ==================================================================================== layer_type: Const layer_id: 6 tf_layers_dict_shape: (4, 8, 4, 1, 1) tf_layers_dict_value: [[[[[ 1.19110167e-01]] [[-2.43403003e-01]] [[-4.26532716e-01]] [[ 2.03961682e+00]]] [[[ 5.42371511e-01]] [[ 4.68978912e-01]] [[-4.40133721e-01]] [[-2.22806469e-01]]] [[[ 5.21311402e-01]] [[ 2.28366286e-01]] [[-2.92699665e-01]] [[ 1.92768425e-01]]] [[[-6.84161559e-02]] [[ 4.30645674e-01]] [[ 1.83314577e-01]] [[ 9.21006024e-01]]] [[[ 3.37727994e-01]] [[ 5.74683100e-02]] [[-2.15459839e-01]] [[-1.19245514e-01]]] [[[ 3.45545113e-01]] [[ 1.21678248e-01]] [[-1.84650972e-01]] [[-4.33625162e-01]]] [[[-4.57264602e-01]] [[-3.59803379e-01]] [[ 3.64851892e-01]] [[-2.89101135e-02]]] [[[ 9.28452790e-01]] [[ 4.07761633e-01]] [[ 5.05645573e-01]] [[ 6.45021871e-02]]]] [[[[ 1.17235743e-01]] [[ 2.13175058e-01]] [[ 5.49685629e-03]] [[ 1.06306088e+00]]] [[[-1.06032775e-03]] [[ 4.93611395e-02]] [[-6.07928276e-01]] [[-4.13630098e-01]]] [[[-2.51309365e-01]] [[-5.84223151e-01]] [[-4.40379560e-01]] [[-3.01257014e-01]]] [[[ 1.24627972e+00]] [[ 2.67296424e-03]] [[ 1.80004150e-01]] [[ 7.50545505e-03]]] [[[ 1.94647267e-01]] [[ 7.50742674e-01]] [[ 2.79620618e-01]] [[-7.56067187e-02]]] [[[ 3.73886853e-01]] [[ 8.56714427e-01]] [[ 1.96713984e-01]] [[-2.75670975e-01]]] [[[ 8.79809976e-01]] [[-1.65559039e-01]] [[ 1.01156366e+00]] [[ 2.56412290e-02]]] [[[ 1.06358491e-01]] [[-4.65295613e-01]] [[-4.70343888e-01]] [[-3.05109262e-01]]]] [[[[-1.71371438e-02]] [[ 3.15459311e-01]] [[-1.26310587e-01]] [[ 3.26123945e-02]]] [[[-5.90606220e-02]] [[ 1.14491887e-01]] [[-2.58961886e-01]] [[ 9.08499770e-03]]] [[[-1.53079256e-01]] [[ 2.36206308e-01]] [[-3.03286731e-01]] [[ 4.97471616e-02]]] [[[ 4.57709104e-01]] [[-2.89963961e-01]] [[ 1.08067304e-01]] [[ 1.35146752e-02]]] [[[ 2.53892094e-01]] [[-7.19368234e-02]] [[-1.04241580e-01]] [[ 4.05883580e-01]]] [[[ 1.37213781e-01]] [[ 8.17646563e-01]] [[-2.89246827e-01]] [[-2.18602628e-01]]] [[[ 2.70227283e-01]] [[-2.43380159e-01]] [[-5.13692796e-01]] [[ 1.97794408e-01]]] [[[ 4.29308504e-01]] [[-4.88698035e-01]] [[ 2.38950208e-01]] [[ 3.37055027e-02]]]] [[[[-5.77578783e-01]] [[ 2.53471017e-01]] [[ 3.97870764e-02]] [[-4.88725722e-01]]] [[[ 2.58779556e-01]] [[-8.62210691e-01]] [[ 1.06393434e-01]] [[ 4.17656302e-02]]] [[[ 2.25161701e-01]] [[-1.77348137e-01]] [[-3.62259448e-01]] [[ 2.43799031e-01]]] [[[-2.90569276e-01]] [[ 6.02877438e-02]] [[-3.52760762e-01]] [[ 1.37581313e+00]]] [[[ 2.85816751e-02]] [[-1.56066203e-02]] [[-3.45287383e-01]] [[-1.10231981e-01]]] [[[ 6.58382475e-01]] [[ 2.38911182e-01]] [[-2.57272571e-01]] [[ 4.67796117e-01]]] [[[ 6.18092418e-01]] [[-8.75321478e-02]] [[-4.00993377e-01]] [[ 1.76268876e-01]]] [[[-1.18035093e-01]] [[ 2.20247358e-01]] [[ 2.33148530e-01]] [[-2.40232244e-01]]]]] ==================================================================================== ERROR: Eager execution of tf.constant with unsupported shape (value has 32 elements, shape is (1, 1, 4, 4) with 16 elements). ERROR: model_path : D:/tflite/light_head_pose.xml ERROR: weights_path: D:/tflite/light_head_pose.bin ERROR: layer_id : 7 ERROR: input_layer0 layer_id=5: KerasTensor(type_spec=TensorSpec(shape=(1, 112, 112, 16), dtype=tf.float32, name=None), name='tf.nn.relu/Relu:0', description="created by layer 'tf.nn.relu'") ERROR: input_layer1 layer_id=6: Const(ndarray).shape (4, 8, 4, 1, 1) array([[[[[ 1.19110167e-01]], [[-2.43403003e-01]], [[-4.26532716e-01]], [[ 2.03961682e+00]]], [[[ 5.42371511e-01]], [[ 4.68978912e-01]], [[-4.40133721e-01]], [[-2.22806469e-01]]], [[[ 5.21311402e-01]], [[ 2.28366286e-01]], [[-2.92699665e-01]], [[ 1.92768425e-01]]], [[[-6.84161559e-02]], [[ 4.30645674e-01]], [[ 1.83314577e-01]], [[ 9.21006024e-01]]], [[[ 3.37727994e-01]], [[ 5.74683100e-02]], [[-2.15459839e-01]], [[-1.19245514e-01]]], [[[ 3.45545113e-01]], [[ 1.21678248e-01]], [[-1.84650972e-01]], [[-4.33625162e-01]]], [[[-4.57264602e-01]], [[-3.59803379e-01]], [[ 3.64851892e-01]], [[-2.89101135e-02]]], [[[ 9.28452790e-01]], [[ 4.07761633e-01]], [[ 5.05645573e-01]], [[ 6.45021871e-02]]]], [[[[ 1.17235743e-01]], [[ 2.13175058e-01]], [[ 5.49685629e-03]], [[ 1.06306088e+00]]], [[[-1.06032775e-03]], [[ 4.93611395e-02]], [[-6.07928276e-01]], [[-4.13630098e-01]]], [[[-2.51309365e-01]], [[-5.84223151e-01]], [[-4.40379560e-01]], [[-3.01257014e-01]]], [[[ 1.24627972e+00]], [[ 2.67296424e-03]], [[ 1.80004150e-01]], [[ 7.50545505e-03]]], [[[ 1.94647267e-01]], [[ 7.50742674e-01]], [[ 2.79620618e-01]], [[-7.56067187e-02]]], [[[ 3.73886853e-01]], [[ 8.56714427e-01]], [[ 1.96713984e-01]], [[-2.75670975e-01]]], [[[ 8.79809976e-01]], [[-1.65559039e-01]], [[ 1.01156366e+00]], [[ 2.56412290e-02]]], [[[ 1.06358491e-01]], [[-4.65295613e-01]], [[-4.70343888e-01]], [[-3.05109262e-01]]]], [[[[-1.71371438e-02]], [[ 3.15459311e-01]], [[-1.26310587e-01]], [[ 3.26123945e-02]]], [[[-5.90606220e-02]], [[ 1.14491887e-01]], [[-2.58961886e-01]], [[ 9.08499770e-03]]], [[[-1.53079256e-01]], [[ 2.36206308e-01]], [[-3.03286731e-01]], [[ 4.97471616e-02]]], [[[ 4.57709104e-01]], [[-2.89963961e-01]], [[ 1.08067304e-01]], [[ 1.35146752e-02]]], [[[ 2.53892094e-01]], [[-7.19368234e-02]], [[-1.04241580e-01]], [[ 4.05883580e-01]]], [[[ 1.37213781e-01]], [[ 8.17646563e-01]], [[-2.89246827e-01]], [[-2.18602628e-01]]], [[[ 2.70227283e-01]], [[-2.43380159e-01]], [[-5.13692796e-01]], [[ 1.97794408e-01]]], [[[ 4.29308504e-01]], [[-4.88698035e-01]], [[ 2.38950208e-01]], [[ 3.37055027e-02]]]], [[[[-5.77578783e-01]], [[ 2.53471017e-01]], [[ 3.97870764e-02]], [[-4.88725722e-01]]], [[[ 2.58779556e-01]], [[-8.62210691e-01]], [[ 1.06393434e-01]], [[ 4.17656302e-02]]], [[[ 2.25161701e-01]], [[-1.77348137e-01]], [[-3.62259448e-01]], [[ 2.43799031e-01]]], [[[-2.90569276e-01]], [[ 6.02877438e-02]], [[-3.52760762e-01]], [[ 1.37581313e+00]]], [[[ 2.85816751e-02]], [[-1.56066203e-02]], [[-3.45287383e-01]], [[-1.10231981e-01]]], [[[ 6.58382475e-01]], [[ 2.38911182e-01]], [[-2.57272571e-01]], [[ 4.67796117e-01]]], [[[ 6.18092418e-01]], [[-8.75321478e-02]], [[-4.00993377e-01]], [[ 1.76268876e-01]]], [[[-1.18035093e-01]], [[ 2.20247358e-01]], [[ 2.33148530e-01]], [[-2.40232244e-01]]]]], dtype=float32) ERROR: The trace log is below. Traceback (most recent call last): File "E:/Desk/openvino2tensorflow-1.29.5/openvino2tensorflow/openvino2tensorflow.py", line 1985, in convert x_outputs = [conv(x_split) for x_split, conv in zip(x_splits, convs)] File "E:/Desk/openvino2tensorflow-1.29.5/openvino2tensorflow/openvino2tensorflow.py", line 1985, in x_outputs = [conv(x_split) for x_split, conv in zip(x_splits, convs)] File "E:\miniconda3\envs\openvino\lib\site-packages\tensorflow\python\keras\engine\base_layer.py", line 970, in __call__ input_list) File "E:\miniconda3\envs\openvino\lib\site-packages\tensorflow\python\keras\engine\base_layer.py", line 1108, in _functional_construction_call inputs, input_masks, args, kwargs) File "E:\miniconda3\envs\openvino\lib\site-packages\tensorflow\python\keras\engine\base_layer.py", line 840, in _keras_tensor_symbolic_call return self._infer_output_signature(inputs, args, kwargs, input_masks) File "E:\miniconda3\envs\openvino\lib\site-packages\tensorflow\python\keras\engine\base_layer.py", line 878, in _infer_output_signature self._maybe_build(inputs) File "E:\miniconda3\envs\openvino\lib\site-packages\tensorflow\python\keras\engine\base_layer.py", line 2625, in _maybe_build self.build(input_shapes) # pylint:disable=not-callable File "E:\miniconda3\envs\openvino\lib\site-packages\tensorflow\python\keras\layers\convolutional.py", line 204, in build dtype=self.dtype) File "E:\miniconda3\envs\openvino\lib\site-packages\tensorflow\python\keras\engine\base_layer.py", line 655, in add_weight caching_device=caching_device) File "E:\miniconda3\envs\openvino\lib\site-packages\tensorflow\python\training\tracking\base.py", line 815, in _add_variable_with_custom_getter **kwargs_for_getter) File "E:\miniconda3\envs\openvino\lib\site-packages\tensorflow\python\keras\engine\base_layer_utils.py", line 139, in make_variable shape=variable_shape if variable_shape else None) File "E:\miniconda3\envs\openvino\lib\site-packages\tensorflow\python\ops\variables.py", line 260, in __call__ return cls._variable_v1_call(*args, **kwargs) File "E:\miniconda3\envs\openvino\lib\site-packages\tensorflow\python\ops\variables.py", line 221, in _variable_v1_call shape=shape) File "E:\miniconda3\envs\openvino\lib\site-packages\tensorflow\python\ops\variables.py", line 199, in previous_getter = lambda **kwargs: default_variable_creator(None, **kwargs) File "E:\miniconda3\envs\openvino\lib\site-packages\tensorflow\python\ops\variable_scope.py", line 2626, in default_variable_creator shape=shape) File "E:\miniconda3\envs\openvino\lib\site-packages\tensorflow\python\ops\variables.py", line 264, in __call__ return super(VariableMetaclass, cls).__call__(*args, **kwargs) File "E:\miniconda3\envs\openvino\lib\site-packages\tensorflow\python\ops\resource_variable_ops.py", line 1595, in __init__ distribute_strategy=distribute_strategy) File "E:\miniconda3\envs\openvino\lib\site-packages\tensorflow\python\ops\resource_variable_ops.py", line 1722, in _init_from_args initial_value = initial_value() File "E:\miniconda3\envs\openvino\lib\site-packages\tensorflow\python\keras\initializers\initializers_v2.py", line 233, in __call__ self.value, dtype=_get_dtype(dtype), shape=shape) File "E:\miniconda3\envs\openvino\lib\site-packages\tensorflow\python\framework\constant_op.py", line 265, in constant allow_broadcast=True) File "E:\miniconda3\envs\openvino\lib\site-packages\tensorflow\python\framework\constant_op.py", line 276, in _constant_impl return _constant_eager_impl(ctx, value, dtype, shape, verify_shape) File "E:\miniconda3\envs\openvino\lib\site-packages\tensorflow\python\framework\constant_op.py", line 325, in _constant_eager_impl (num_t, shape, shape.num_elements())) TypeError: Eager execution of tf.constant with unsupported shape (value has 32 elements, shape is (1, 1, 4, 4) with 16 elements). ERROR: Please refer to 6-7 in the README first. https://github.com/PINTO0309/openvino2tensorflow ```

Source code for simple inference testing code

No response

PINTO0309 commented 2 years ago

Fixed: commit 72987ea548b30269380f73fa72d75bae3258316d Release: v1.30.1 https://github.com/PINTO0309/openvino2tensorflow/releases/tag/v1.30.1

replace.json

{
"format_version": 2,
"layers": [
    {
        "layer_id": "185",
        "type": "Squeeze",
        "replace_mode": "insert_after",
        "values": [
            0
        ]
    }
]
}

convert

openvino2tensorflow \
--model_path light_head_pose.xml \
--output_saved_model \
--output_pb \
--non_verbose \
--output_no_quant_float32_tflite \
--weight_replacement_config replace.json

converted models converted_models.zip

PINTO0309 commented 2 years ago

https://github.com/PINTO0309/PINTO_model_zoo/tree/main/293_Lightweight-Head-Pose-Estimation

PINTO0309 / openvino2tensorflow