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INSTALL/README updates
Summary: Updates for version 0.6.2 Differential Revision: D35980557 fbshipit-source-id: e677a22d4f8a323376310dfb536133bee8045f1f
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INSTALL.md
10
INSTALL.md
@@ -9,7 +9,7 @@ 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 3.6, 3.7, 3.8 or 3.9
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- PyTorch 1.6.0, 1.7.0, 1.7.1, 1.8.0, 1.8.1, 1.9.0, 1.9.1 or 1.10.0.
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- PyTorch 1.7.0, 1.7.1, 1.8.0, 1.8.1, 1.9.0, 1.9.1, 1.10.0, 1.10.1, 1.10.2 or 1.11.0.
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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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@@ -84,12 +84,12 @@ pip install pytorch3d
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```
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### 3. Install wheels for Linux
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We have prebuilt wheels with CUDA for Linux for PyTorch 1.10.0, for each of the CUDA versions that they support,
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for Python 3.7, 3.8 and 3.9.
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We have prebuilt wheels with CUDA for Linux for PyTorch 1.11.0, for each of the supported CUDA versions,
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for Python 3.7, 3.8 and 3.9. This is for ease of use on Google Colab.
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These are installed in a special way.
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For example, to install for Python 3.8, PyTorch 1.10.0 and CUDA 10.2
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For example, to install for Python 3.8, PyTorch 1.11.0 and CUDA 10.2
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```
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pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/py38_cu102_pyt1100/download.html
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pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/py38_cu102_pyt1110/download.html
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```
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In general, from inside IPython, or in Google Colab or a jupyter notebook, you can install with
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