How to transform conv1d from keras?

Your keras model defines 10 filters with kernel_size=9 in the first conv layer, while in your PyTorch model you define 192 filters with kernel_size=10. Keras’ filters is equal to out_channels.

EDIT: Also it seems to me that your Keras input hat 76 channels. You should transpose the input to get similar results to [batch, channels, length].

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