Current implementation of Go binding can not specify options.

GPUOptions struct is in internal package. And go generate doesn't work for protobuf directory. So we can't specify GPUOptions for NewSession.

🚀 Feature

Add drop_remainder: bool = True support to torch.chunk and torch.split

• similar in function to drop_last in torch.utils.data.DataLoader
• If the length of the dimension is not perfectly divisible, drop the remaining elements from the returned arrays.

Add redistribute: bool = True support to torch.chunk and torch.split

• Spread the elements evenly across the c

Useful for converting greyscale image back to rgb so that the output can be rendered on canvas with toPixels.

tf api: https://www.tensorflow.org/api_docs/python/tf/image/grayscale_to_rgb

In gensim/models/fasttext.py:

    model = FastText(
        vector_size=m.dim,
        vector_size=m.dim,
        window=m.ws,
        window=m.ws,
        epochs=m.epoch,
        epochs=m.epoch,
        negative=m.neg,
        negative=m.neg,
        # FIXME: these next 2 lines read in unsupported FB FT modes (loss=3 softmax or loss=4 onevsall,
        # or model=3 supervi

New Operator

Describe the operator

Why is this operator necessary? What does it accomplish?

This is a frequently used operator in tensorflow/keras

Can this operator be constructed using existing onnx operators?

If so, why not add it as a function?

I don't know.

Is this operator used by any model currently? Which one?

Are you willing to contribute it?