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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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@@ -9,13 +9,13 @@ The core library is written in PyTorch. Several components have underlying imple
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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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```
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