CODEWITHSUNDEEP
pythonpytorchonnx
Bratyslav Morhunov
Bratyslav Morhunov

Reputation: 150

Crash when trying to export PyTorch model to ONNX: forward() missing 1 required positional argument

I'm trying to convert pyTorch model to onnx like this:

torch.onnx.export(
  model=modnet.module,
  args=example_input, 
  f=ONNX_PATH, # where should it be saved
  verbose=False,
  export_params=True,
  do_constant_folding=False,
  input_names=['input'],
  output_names=['output']
)

modnet is a model from this repo: https://github.com/ZHKKKe/MODNet

example_input is a Tensor of shape [1, 3, 512, 512]

During converting I received that error:

TypeError: forward() missing 1 required positional argument: 'inference'

This is my clone of Colab notebook to reproduce exception: https://colab.research.google.com/drive/1AE1VAXIXkm26krIOoBaFfhoE53hhuEdf?usp=sharing

Save me please! :)

Upvotes: 2

Views: 5299

Answers (1)

Tajinder Singh
Tajinder Singh

Reputation: 1531

Modnet forward method requires a parameter called inference which is a boolean, indeed when the model is trained they pass it in this way:

# forward the main model
pred_semantic, pred_detail, pred_matte = modnet(image, False)

So here what you have to do is modify your example_input like this:

example_input = (example_input, True)

Upvotes: 1

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