Mathieu Poumeyrol
Mathieu Poumeyrol
Hey, @sonovice, I had a look at Resize and... wow. It is really an ugly beast. Beyond the complexity optimizing the algorithms in arbitrary dimension and dealing correctly with floor...
Thanks, and this combination sounds OK. I will go for this as an MVP and relax some of the other constraints later on.
Hey, would you mind giving a shot at the resize branch ? I think you use case should be covered. I must say the Resize spec and its tests are...
Pushed a fix for the slice, mistake was on my side. Checked your network, but there is another error validity issue. You're supposed to provide either scales or sizes, not...
All right, let me see if I can do something on my side.
Interestingly, pytorch computes sizes instead, and pass something nonsensical as scale, instead of skipping the input. This is a bug in pytorch, but I have made a workaround. ``` [onnx/src/ops/resize.rs:101]...
So Pad was just not paranoid enough about its input, but I found and fix a couple issues in Slice ( #338 ). So now your model runs with this...
(i mean the onnx-resize branch, i did rebase it)
so you can `tensor.to_array_view::()?` to get a ndarray view on the tensor, and then put the data back into an image::RgbImage, i guess. Never done it, so I can't show...
Ha, great news :) No, I'm going to merge and close, even if the Resize support is really alpha level right now (and *very* under optimized). Can you authorize me...