Results 7 comments of Elena Zhelezina

Hi @tisma, The function `get_clusterable_weights` in your implementation does not return what is expected by the clustering algorithm. It should be ``` def get_clusterable_weights(self): return [('kernel', self.kernel)] ``` We have...

Hi @tisma To pass to the clustering algorithm what should be clustered in your layer, you need to take a look at attributes with weights. This is an advanced usage,...

Hi @rino20 Yes, we will take a look today/tomorrow at this issue.

Hi @aserenko Thank you for the reported bug. The fix is in this PR https://github.com/tensorflow/model-optimization/pull/951

Hi @rameshkunasi Thank you for the reporting the problem. This PR https://github.com/tensorflow/model-optimization/pull/952 adds the requested support of Conv1DTranspose. I added unit test based on your example - please take a...

Yes, when this flag is set, we need to check every weight(tensor) of the model. As result, the conversion time will be bigger, but inference time will be better. Usually,...