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I've tried to compile the model with the new torch_tensorrt torchscript compiler.
However, it does not seem to support a variable number of arguments which is heavily used for the various forward() functions in the model definition:
torch.jit.frontend.NotSupportedError: Compiled functions can't take variable number of arguments or use keyword-only arguments with defaults:
File "/home/frederik/.local/lib/python3.8/site-packages/performer_pytorch/performer_pytorch.py", line 576
def forward(self, x, **kwargs):
~~~~~~~ <--- HERE
if self.auto_check_redraw:
self.proj_updater.redraw_projections()
If I were to make a pull request which removes the **kwargs in order to provide TensorRT and torchscript support, would it be merged?
The text was updated successfully, but these errors were encountered:
Hi
Thank you for contributing this amazing repo!
I've tried to compile the model with the new torch_tensorrt torchscript compiler.
However, it does not seem to support a variable number of arguments which is heavily used for the various forward() functions in the model definition:
If I were to make a pull request which removes the **kwargs in order to provide TensorRT and torchscript support, would it be merged?
The text was updated successfully, but these errors were encountered: