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.

🐛 Describe the bug

The function einsum_helper in torch/onnx/symbolic_opset12.py is a helper. It is not meant for public consumption. We should rename it to _einsum_helper and remove it from __all__

Versions

N/A

fitDataset() expects a Dataset that produces elements of a certain shape, with matching batch sizes etc., and throws errors (from standardizeDataIteratorOutput()) when the conditions are not met. These errors should be tested.

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

Feature Request

System information

ONNX version (you are using): 1.12

What is the problem that this feature solves?

It would be great if ONNX Hub can download test_data_set. It will be helpful for testing ONNX Model Zoo.

Describe the feature

Currently users can only download models through ONNX Hub. There is no easy API for them to download the test_data_set from.tar.gz

Bug with GPU Model

Currently, while using pruning methods like TaylorFOWeight Pruner, If I use a model on GPU for getting the metrics (as calculated for getting masks), it fails on line while creating masks. The reason why it fails i