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dmoham1476 avatar dmoham1476 commented on May 19, 2024 1

Hi Guenther, checking how we avoid the transpose operations for the cpu tf2onnx graph?

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guschmue avatar guschmue commented on May 19, 2024

If the model is nhwc we wrap the ops with transpose. There are only 2 optimizations: if the input is a const ant we apply the transpose to the constant and if we find back to back transpose we remove it. Pretty conservative and I'm sure we can do better.
Let me find some time to look at it.

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dmoham1476 avatar dmoham1476 commented on May 19, 2024

hi I am also seeing that Intel MKL is able to handle NHWC (similar to GPU). This is what I found and posted on the onnx-tf page - onnx/onnx-tensorflow#31 (comment)

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guschmue avatar guschmue commented on May 19, 2024

I think this only creating issues for tensorflow models ... wish they would have not done nhwc. Adding nhwc to onnx would create similar issues there.
I have some ideas how to get rid of some ... going to get to this soon.

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guschmue avatar guschmue commented on May 19, 2024

This will help:
#108

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