q-ycong-p

Results 15 comments of q-ycong-p

There is a section in [User Guide](https://github.com/google/benchmark/blob/main/docs/user_guide.md#memory-usage) that briefly mentions the supported functionality of benchmarking memory usage. But the documentation gives no concrete instruction of how to use it. Please...

@hwangdeyu The reason why it's converted to loop in this case is because the `SelectV2` in frozen graph pattern is not handled in `lstm_tf2_rewriter` - itself can be skipped to...

Hi @hwangdeyu and tf2onnx contributors, This feature keras2onnx has implemented. I tested with the minimal example keras model shared above - [keras2onnx implementation](https://github.com/onnx/keras-onnx/pull/386) gives correct inference results on post-padded inputs....

> Thank you so much for so detailed issue, I am not very familiar with this part. I guess the keras2onnx is a good example to fix it. Need to...

Hi @hwangdeyu and tf2onnx community, is there any plan on picking up this work soon?

Hi @hwangdeyu, could you give us an update? We'll need to work around the urgent request (07/01) we got depending on your plan for this fix. Pls let us know.

@hwangdeyu Thanks for the update. Could you provide us with an ETA?

@hwangdeyu Given the request on our end, we need to work towards a fix too. Could you give us some pointer/direction so that we can contribute/collaborate?

Thanks for the pointer. Regarding the reproduction, I think the minimal example shared at top of post is sufficiently simple to verify wip fix? We can assert both inference result...

Hi @hwangdeyu, thanks for letting me know. Even inference result is correct, LSTM being converted to loop op means important optimizations cannot be taken advantaged of at inference time. I'm...