The metrics are slowly leaving Datasets (they are being deprecated as we speak) to move to the Evaluate library. We are looking for contributors to help us with the move.

Normally, the migration should be as easy as replacing the import of load_metric from Datasets to the load function in Evaluate. See a u

What could be better?
依赖项的 requ…….txt 应该被更新，而且 pytorch 更要描述具体版本和安装方式

本人配环境一个下午，勉强配出来 Tag0.0.1 pytorch 1.9.0 OnlyCpu 的版本。

@babysor @oceanarium

This is a nice first issue:

Add types/docments to the Learner.get_preds function. This function is essential to any fastai user and has almost no documentation. Add types and text to the variables as we have in many places now.

What happened + What you expected to happen

The current default autoscaler error message color is painfully difficult to read on the default background.

Versions / Dependencies

Master

Reproduction script

Launch a 4 CPU head node with availa

https://github.com/open-mmlab/mmdetection/blob/7a9bc498d5cc972171ec4f7332afcd70bb50e60e/tools/analysis_tools/coco_error_analysis.py#L43
This I believe is for coco format, but I couldn't find any files for plotting precision or precision vs recall chart for pascal voc format.

🚀 Typing coverage

Let's improve typing coverage of PyTorch Lightning together!

I'm creating a new issue in order to increase visibility. There are three older issues (#7037, #5023, #4698) which became stale over time.

Plan

Currently, there are 55 files which are excluded from mypy checks so that our CI does not fail. These files vastly differ in difficulty in order to make the t

Change tensor.data to tensor.detach() due to
pytorch/pytorch#6990 (comment)
tensor.detach() is more robust than tensor.data.

🚀 The feature, motivation and pitch

Hi, I'm working on link prediction with a heterograph and trying to convert code in DGL to PyG. @rusty1s

1. HeteroData with different types of edges, I want to get a subgraph that includes all nodes with that specific edge type. I wonder if PyG has a feature like this. DGL has [dgl.edge_type_subgraph](https://docs.dgl.ai/en/0.6.x/generated/dgl.edge_t

Adding a Dataset

• Name: Stanford dog dataset
• Description: The dataset is about 120 classes for a total of 20.580 images. You can find the dataset here http://vision.stanford.edu/aditya86/ImageNetDogs/
• Paper: http://vision.stanford.edu/aditya86/ImageNetDogs/
• Data: *[link to the Github repository or current dataset location](http://vision.stanford.edu/aditya86/Ima

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