François Chollet

The issue is at the level of the `dice_loss`. Can you try producing a reproduction script that only involves the loss function? Maybe just try to backprop through the loss...

Awesome, thanks for the interest! I'd recommend starting out with a Colab notebook running on a K80 (the default Colab GPU runtime). Perhaps one of you can take the MLP...

> Just use open source repo or integrate them into a repo? We probably want to start a new 3rd party repo to host the benchmarks, in the long term....

> Hello @fchollet I am a little confused on the requirements. So are we required to compare performance of models in TensorFLow vs PyTorch or how exactly should we proceed?...

@[fsx950223](https://github.com/fsx950223) generally speaking we should implement models from scratch rather than using pretrained models and fine-tuning them (e.g. no TF-Hub, just Keras layers). Also it's not very important to use...

> Could I use tf model official apis? For Bert specifically this seems ok. You can generally used any reusable building blocks from an official Keras/TF lib (like KerasCV, KerasNLP,...

It seems there is a device placement issue with torch on GPU, could you take a look? https://btx.cloud.google.com/invocations/0b42aedc-c253-401a-b110-1f441959ccc8/targets/keras%2Fgithub%2Fubuntu%2Fgpu%2Ftorch%2Fcontinuous/log

I have taken a quick look and things are looking good so far, but in order to run the full suite of unit tests we need to have a compatible...

Thanks for the PR! Do you have a Colab notebook that demos the new features?

Great work! Here are some things we should do. 1. For every display output, there should be a shell mode (plain text with text color tags) and a notebook mode...