Deep learning

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.

First good issue

A current error is that a user forwards a batched tensor of input_ids that include a padding token, e.g. input_ids = torch.tensor([["hello", "this", "is", "a", "long", "string"], ["hello", "<pad>", "<pad>", "<pad>", "<pad>"]]

In this case, the attention_mask should be provided as well. Otherwise the output hidden_states will be incorrectly computed. This is

🐛 Describe the bug

Floating point exception in mkldnn_convolution when stride contains 0s.

Example to reproduce

import torch

self = torch.full((1, 1, 1, 24000,), 1, dtype=torch.float32, requires_grad=False)
weight = torch.full((1, 1, 1, 24000,), 1, dtype=torch.float32, requires_grad=False)
bias = torch.full((1, 1, 1, 24000,), 1, dtype=torch.float32, requires_grad

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Ray Component

Ray Clusters

Issue Severity

Medium: It contributes to significant difficulty to complete my task but I work arounds and get it resolved.

What happened + What you expected to happen

The arguments to ray.autoscaler.sdk are not validated.
I