I'm getting the following error when i try to convert my trained tensorflow model to IR
Model Optimizer arguments: Common parameters: - Path to the Input Model: None - Path for generated IR: /home/ec2-user/Notebooks/. - IR output name: saved_model - Log level: ERROR - Batch: Not specified, inherited from the model - Input layers: Not specified, inherited from the model - Output layers: Not specified, inherited from the model - Input shapes: [1,512,512,3] - Mean values: Not specified - Scale values: Not specified - Scale factor: Not specified - Precision of IR: FP32 - Enable fusing: True - Enable grouped convolutions fusing: True - Move mean values to preprocess section: None - Reverse input channels: False TensorFlow specific parameters: - Input model in text protobuf format: False - Path to model dump for TensorBoard: None - List of shared libraries with TensorFlow custom layers implementation: None - Update the configuration file with input/output node names: None - Use configuration file used to generate the model with Object Detection API: None - Use the config file: None Model Optimizer version: 2021.1.0-1237-bece22ac675-releases/2021/1 2021-01-06 09:55:53.886652: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /opt/intel/openvino_2021/data_processing/dl_streamer/lib:/opt/intel/openvino_2021/data_processing/gstreamer/lib:/opt/intel/openvino_2021/opencv/lib:/opt/intel/openvino_2021/deployment_tools/ngraph/lib:/opt/intel/openvino_2021/deployment_tools/inference_engine/external/hddl_unite/lib:/opt/intel/openvino_2021/deployment_tools/inference_engine/external/hddl/lib:/opt/intel/openvino_2021/deployment_tools/inference_engine/external/gna/lib:/opt/intel/openvino_2021/deployment_tools/inference_engine/external/mkltiny_lnx/lib:/opt/intel/openvino_2021/deployment_tools/inference_engine/external/tbb/lib:/opt/intel/openvino_2021/deployment_tools/inference_engine/lib/intel64 2021-01-06 09:55:53.886685: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine. 2021-01-06 09:55:57.571164: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] 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: /opt/intel/openvino_2021/data_processing/dl_streamer/lib:/opt/intel/openvino_2021/data_processing/gstreamer/lib:/opt/intel/openvino_2021/opencv/lib:/opt/intel/openvino_2021/deployment_tools/ngraph/lib:/opt/intel/openvino_2021/deployment_tools/inference_engine/external/hddl_unite/lib:/opt/intel/openvino_2021/deployment_tools/inference_engine/external/hddl/lib:/opt/intel/openvino_2021/deployment_tools/inference_engine/external/gna/lib:/opt/intel/openvino_2021/deployment_tools/inference_engine/external/mkltiny_lnx/lib:/opt/intel/openvino_2021/deployment_tools/inference_engine/external/tbb/lib:/opt/intel/openvino_2021/deployment_tools/inference_engine/lib/intel64 2021-01-06 09:55:57.571198: W tensorflow/stream_executor/cuda/cuda_driver.cc:312] failed call to cuInit: UNKNOWN ERROR (303) 2021-01-06 09:55:57.571216: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (ip-172-31-65-233.ec2.internal): /proc/driver/nvidia/version does not exist 2021-01-06 09:55:57.571389: 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: AVX2 AVX512F FMA To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. 2021-01-06 09:55:57.607790: I tensorflow/core/platform/profile_utils/cpu_utils.cc:104] CPU Frequency: 2999980000 Hz 2021-01-06 09:55:57.608150: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x3d4d800 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2021-01-06 09:55:57.608169: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2021-01-06 09:56:15.612182: I tensorflow/core/grappler/devices.cc:69] Number of eligible GPUs (core count >= 8, compute capability >= 0.0): 0 2021-01-06 09:56:15.613446: I tensorflow/core/grappler/clusters/single_machine.cc:356] Starting new session 2021-01-06 09:56:16.010348: I tensorflow/core/grappler/optimizers/meta_optimizer.cc:816] Optimization results for grappler item: graph_to_optimize 2021-01-06 09:56:16.010388: I tensorflow/core/grappler/optimizers/meta_optimizer.cc:818] function_optimizer: Graph size after: 5850 nodes (5149), 13416 edges (12708), time = 182.03ms. 2021-01-06 09:56:16.010397: I tensorflow/core/grappler/optimizers/meta_optimizer.cc:818] function_optimizer: Graph size after: 5850 nodes (0), 13416 edges (0), time = 88.009ms. 2021-01-06 09:56:16.010404: I tensorflow/core/grappler/optimizers/meta_optimizer.cc:816] Optimization results for grappler item: __inference_Preprocessor_ResizeToRange_cond_false_12695_58123 2021-01-06 09:56:16.010409: I tensorflow/core/grappler/optimizers/meta_optimizer.cc:818] function_optimizer: function_optimizer did nothing. time = 0.002ms. 2021-01-06 09:56:16.010416: I tensorflow/core/grappler/optimizers/meta_optimizer.cc:818] function_optimizer: function_optimizer did nothing. time = 0ms. 2021-01-06 09:56:16.010422: I tensorflow/core/grappler/optimizers/meta_optimizer.cc:816] Optimization results for grappler item: __inference_Preprocessor_ResizeToRange_cond_true_12694_56958 2021-01-06 09:56:16.010428: I tensorflow/core/grappler/optimizers/meta_optimizer.cc:818] function_optimizer: function_optimizer did nothing. time = 0.002ms. 2021-01-06 09:56:16.010433: I tensorflow/core/grappler/optimizers/meta_optimizer.cc:818] function_optimizer: function_optimizer did nothing. time = 0.001ms. [ ERROR ] Cannot infer shapes or values for node "StatefulPartitionedCall/Preprocessor/ResizeToRange/cond". [ ERROR ] Function __inference_Preprocessor_ResizeToRange_cond_true_12694_56958 is not defined. [ ERROR ]
[ ERROR ] It can happen due to bug in custom shape infer function <function tf_native_tf_node_infer at 0x7f1fbc2c8050>. [ ERROR ] Or because the node inputs have incorrect values/shapes. [ ERROR ] Or because input shapes are incorrect (embedded to the model or passed via --input_shape). [ ERROR ] Run Model Optimizer with --log_level=DEBUG for more information. [ ERROR ] Exception occurred during running replacer "REPLACEMENT_ID" (<class 'extensions.middle.PartialInfer.PartialInfer'>): Stopped shape/value propagation at "StatefulPartitionedCall/Preprocessor/ResizeToRange/cond" node. For more information please refer to Model Optimizer FAQ, question #38. (https://docs.openvinotoolkit.org/latest/openvino_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html?question=38#question-38)
Debug log file: [Debug_Log][1]
Model Folder: [Model][2] [1]: https://drive.google.com/file/d/1VFlAW7C0RhmL-T1HrKwBMrvQzJNvCql7/view?usp=sharing [2]: https://drive.google.com/drive/folders/1kkbp9fAXXsiDeq583Z0tV95zIfbI9_-N?usp=sharing
