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INSTALL updates for 0.7.3
Summary: PyTorch 2.0 now supported Reviewed By: davidsonic Differential Revision: D44343298 fbshipit-source-id: c81556dc872141e692a97845da0fb50fe82f62da
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INSTALL.md

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- Linux or macOS or Windows
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- Python 3.8, 3.9 or 3.10
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- PyTorch 1.9.0, 1.9.1, 1.10.0, 1.10.1, 1.10.2, 1.11.0, 1.12.0, 1.12.1 or 1.13.0.
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- PyTorch 1.9.0, 1.9.1, 1.10.0, 1.10.1, 1.10.2, 1.11.0, 1.12.0, 1.12.1, 1.13.0 or 2.0.0.
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- torchvision that matches the PyTorch installation. You can install them together as explained at pytorch.org to make sure of this.
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- gcc & g++ ≥ 4.9
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- [fvcore](https://github.com/facebookresearch/fvcore)
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- [ioPath](https://github.com/facebookresearch/iopath)
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- If CUDA is to be used, use a version which is supported by the corresponding pytorch version and at least version 9.2.
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- If CUDA is to be used and you are building from source, the CUB library must be available. We recommend version 1.10.0.
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- If CUDA older than 11.7 is to be used and you are building from source, the CUB library must be available. We recommend version 1.10.0.
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The runtime dependencies can be installed by running:
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README.md

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Please see below for a timeline of the codebase updates in reverse chronological order. We are sharing updates on the releases as well as research projects which are built with PyTorch3D. The changelogs for the releases are available under [`Releases`](https://github.com/facebookresearch/pytorch3d/releases), and the builds can be installed using `conda` as per the instructions in [INSTALL.md](INSTALL.md).
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**[Dec 19th 2022]:** PyTorch3D [v0.7.2](https://github.com/facebookresearch/pytorch3d/releases/tag/v0.7.2) released.
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**[Oct 23rd 2022]:** PyTorch3D [v0.7.1](https://github.com/facebookresearch/pytorch3d/releases/tag/v0.7.1) released.
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**[Aug 10th 2022]:** PyTorch3D [v0.7.0](https://github.com/facebookresearch/pytorch3d/releases/tag/v0.7.0) released with Implicitron and MeshRasterizerOpenGL.

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