jwfromm opened a new pull request #8456: URL: https://github.com/apache/tvm/pull/8456
While playing with [onnxruntime's quantization tools](https://www.onnxruntime.ai/docs/how-to/quantization.html) I found that `ConvInteger` nodes were heavily used and pretty easy to map to `qnn.conv2d`. This PR adds support for that op. While working with convolutions, I found some unrelated issues in how we were doing autopadding for `ConvTranspose`. Specifically, padding can't always be treated as a two step process where inputs are padded and then conv_transpose is performed since padding in conv_transpose actually removes outputs. I simplified the autopadding `ConvTranspose` and found that this new implementation passes more of the onnx node tests. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
