Shashankwer commented on issue #700: URL: https://github.com/apache/singa/issues/700#issuecomment-633641690
For the models conversion do we also nee to train model on SINGA after conversion from onnx, and have a comparison matrix? For example super_resolution via subpixel convolution layer was trained on BSD 300. Model is originally present in pytorch and can be converted well into SINGA using ONNX. It gives similar result for an image across pytorch, onnxruntime and SINGA. Do we need to compare the performance of the model across these platforms with the dataset they were trained on or SINGA compatibility is what we are checking at the moment? Thanks and Regards, Shashank Nigam ---------------------------------------------------------------- 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. For queries about this service, please contact Infrastructure at: [email protected]
