Comments (2)
@PINTO0309 Hey, thanks! Yes, sure, go ahead. In fact, that's what I was hoping people would do!
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Thank you for your warm words.
One day I will contribute to this tool.
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Related Issues (16)
- Add support for multidimensional aggregating function HOT 1
- TensorFlow 2 PyTorch? HOT 7
- Custom initializer for tf weights HOT 6
- Much slower training after convert torch code to tf code HOT 1
- LogSoftMax conversion HOT 1
- How to llama 2 conversion HOT 1
- Add support for torch.repeat_interleave HOT 2
- unnecessary python 3.9 limitation HOT 1
- Tensorflow warns that variables were used in Lambda layers but are not present in tracked objects HOT 2
- Depthwise convolution conversion fails? HOT 1
- I am getting 'Unimplemented nodes' exception HOT 5
- Imprecise conversion for custom log_softmax converter HOT 4
- [Question] Are dynamic axes supported? HOT 2
- TypeError: converter_mean() got an unexpected keyword argument 'keepdims' HOT 2
- pytorch version? HOT 1
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