[GitHub] [incubator-mxnet] PawelGlomski-Intel commented on issue #20659: onnx - output of network produces different results

[GitBox <gi...@apache.org>]

PawelGlomski-Intel commented on issue #20659:
URL: https://github.com/apache/incubator-mxnet/issues/20659#issuecomment-946883383


   I assume you are using CPU and v1.x as you described [here](https://github.com/apache/incubator-mxnet/issues/11203#issuecomment-946223038).
   Does this code reproduce your issue?
   ```
   import torch
   import numpy as np
   import mxnet as mx
   
   
   class TestDeconvTorch(torch.nn.Module):
   
       def __init__(self):
           super(TestDeconvTorch, self).__init__()
           self.deconv1 = torch.nn.ConvTranspose2d(1, 8, 4)
           self.deconv2 = torch.nn.ConvTranspose2d(8, 8, 4)
           self.deconv3 = torch.nn.ConvTranspose2d(8, 1, 4)
   
       def forward(self, x):
           return self.deconv3(self.deconv2(self.deconv1(x)))
   
   
   data = torch.linspace(0, 1, 64).reshape((1, 1, 8, 8))
   tester = TestDeconvTorch()
   outt = tester(data)
   
   torch_onnx_export_output = torch.onnx.export(
       tester,
       data,
       'onnx_test',
       verbose=True,
       keep_initializers_as_inputs=True,
       export_params=True,
       enable_onnx_checker=True,
       do_constant_folding=False,
       opset_version=11,
   )
   
   sym_block = mx.contrib.onnx.import_to_gluon('onnx_test', ctx=mx.cpu())
   outm = sym_block.forward(mx.nd.array(data.numpy()))
   
   assert np.all(outm.asnumpy() == outt.detach().numpy())
   ```
   For me, it runs just fine


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