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Fix image display on pypi project description section (#166404)

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Fixes https://github.com/pytorch/pytorch/issues/165559

Pull Request resolved: https://github.com/pytorch/pytorch/pull/166404
Approved by: https://github.com/malfet, https://github.com/Skylion007, https://github.com/Camyll
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atalman 2025-10-28 18:58:24 +00:00 committed by PyTorch MergeBot
parent e3e93c7107
commit a25818cf7e
1 changed files with 3 additions and 3 deletions
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@ -1,4 +1,4 @@
![PyTorch Logo](https://github.com/pytorch/pytorch/blob/9708fcf92db88b80b9010c68662d634434da3106/docs/source/_static/img/pytorch-logo-dark.png)
![PyTorch Logo](https://github.com/pytorch/pytorch/raw/main/docs/source/_static/img/pytorch-logo-dark.png)
--------------------------------------------------------------------------------
@ -72,7 +72,7 @@ Elaborating Further:
If you use NumPy, then you have used Tensors (a.k.a. ndarray).
![Tensor illustration](https://github.com/pytorch/pytorch/blob/9708fcf92db88b80b9010c68662d634434da3106/docs/source/_static/img/tensor_illustration.png)
![Tensor illustration](https://github.com/pytorch/pytorch/raw/main/docs/source/_static/img/tensor_illustration.png)
PyTorch provides Tensors that can live either on the CPU or the GPU and accelerates the
computation by a huge amount.
@ -99,7 +99,7 @@ from several research papers on this topic, as well as current and past work suc
While this technique is not unique to PyTorch, it's one of the fastest implementations of it to date.
You get the best of speed and flexibility for your crazy research.
![Dynamic graph](https://github.com/pytorch/pytorch/blob/9708fcf92db88b80b9010c68662d634434da3106/docs/source/_static/img/dynamic_graph.gif)
![Dynamic graph](https://github.com/pytorch/pytorch/raw/main/docs/source/_static/img/dynamic_graph.gif)
### Python First