PyTorch
PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing, primarily developed by Facebook's AI Research lab.
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DEPENCES 依赖项不全
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。
文本中如果有数字读不出来
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.
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🚀 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
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Change tensor.data to tensor.detach() due to
pytorch/pytorch#6990 (comment)
tensor.detach() is more robust than tensor.data.
🚀 Feature
Motivation
paper "LEARNING TO REPRESENT PROGRAMS WITH GRAPHS" which encode computer programs as graphs, with rich semantic information, however, most code implementation on this dataset VarMisuse is based on TensorFlow, like [tf-gnn-samples](https://github.com/microsof
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Feature Request
System information
ONNX version (you are using): develop
What is the problem that this feature solves?
Increase test coverage for ONNX Hub; Simplify existing download code by using ONNX Hub directly.
Describe the alternatives you have considered
Write additional code to test ONNX
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Created by Facebook's AI Research lab (FAIR)
Released September 2016
Latest release about 1 month ago
- Repository
- pytorch/pytorch
- Website
- pytorch.org
- Wikipedia
- Wikipedia

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_metricfrom Datasets to theloadfunction in Evaluate. See a u