im getting this error in jupyter- Exception encountered when calling Lambda.call() in this line- attention_context = Lambda(lambda x: tf.einsum('ijk,ijl->ikl', x[0], x[1]))([attention_scores, se3]) about tensorflow HOT 5 CLOSED

It looks like the issue is related to the use of the Lambda layer in your code. The error message suggests that there's a mix of tensors and non-tensors in a nested Lambda call, specifically related to the mask argument.

The error might be occurring because the Lambda layer is expecting a tensor for its mask argument, but it's receiving a list with None and a tensor instead. To resolve this, you can try modifying the Lambda layer to explicitly handle the mask argument. Here's an updated version of the Lambda layer that should resolve the issue:

attention_context = Lambda(lambda x: tf.einsum('ijk,ijl->ikl', x[0], x[1]), mask=lambda inputs, mask: mask[1])([attention_scores, se3])

In this modification, the mask argument is explicitly handled to pass the mask from the se3 input to the Lambda layer.

Please try this modification and see if it resolves the issue. If the error persists, there may be other issues in your code that need to be addressed.

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@ShahidRRRRRR Please print the shapes of attention_scores and se3 before passing them to the Lambda layer to verify compatibility. If you still face the issue then, could you please ensure to use the latest TF version and share the code in a notebook or colab gist?

Thank you!

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This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you.

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This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further.

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