Pytorch Onnx Based Convertion | LSTM Error

[pankajrawat]

Enviroment Details
=====================
openvino_fpga_2020.4.287  -- Intel cloud environment
onnx==1.7.0
onnxconverter-common==1.7.0
onnxruntime==1.3.0
torch==1.3.1

Details

Its a custom LSTM model developed using pytorch, model is running fine on both pytorch and onnx runtime, however when the model is converted from ONNX to openvinoIR we are geeting runtime error.

Torch model - running and giving results
Onnx model - running and giving results
Openvino   -  Model optimizer error while converting onnx to IR

CPU
[ INFO ] Loading network files:
        models/torch/timeseries_enode.xml
        models/torch/timeseries_enode.bin
Traceback (most recent call last):
  File "openvino_model.py", line 96, in <module>
    openvino_model(model_xml)
  File "openvino_model.py", line 50, in openvino_model
    net = ie.read_network(model=model_xml, weights=model_bin)
  File "ie_api.pyx", line 261, in openvino.inference_engine.ie_api.IECore.read_network
  File "ie_api.pyx", line 293, in openvino.inference_engine.ie_api.IECore.read_network
RuntimeError: Check 'shape_size(get_input_shape(0)) == shape_size(output_shape)' failed at /home/jenkins/agent/workspace/private-ci/ie/build-linux-ubuntu18/b/repos/openvino/ngraph/src/ngraph/op/reshape.cpp:290:
While validating node 'v1::Reshape Reshape_774(Constant_767[0]:f32{1,512,128}, Constant_773[0]:i64{2}) -> (dynamic?)':
Requested output shape Shape{1, 128} is incompatible with input shape Shape{1, 512, 128}

[Munesh_Intel]

Hi Pankaj,

I am closing this thread, as it is a duplicate of another thread.

All correspondence regarding this thread will now be posted at the following thread, "OpenVino | Pytorch Error LSTM".

https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/OpenVino-Pytorch-Error-LSTM/m-p/1201545

Regards,

Munesh