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[pytorch3d install.md for 0.6.1

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Summary: Update references to dependencies

Reviewed By: patricklabatut

Differential Revision: D33016832

fbshipit-source-id: aa41c7ccc6acd19654303bc18bfd734dc29d88a3
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Jeremy Reizenstein 2021-12-13 04:36:50 -08:00 committed by Facebook GitHub Bot
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INSTALL.md
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@ -9,7 +9,7 @@ The core library is written in PyTorch. Several components have underlying imple
- Linux or macOS or Windows - Linux or macOS or Windows
- Python 3.6, 3.7, 3.8 or 3.9 - Python 3.6, 3.7, 3.8 or 3.9
- PyTorch 1.6.0, 1.7.0, 1.7.1, 1.8.0, 1.8.1, 1.9.0 or 1.9.1. - 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.
- torchvision that matches the PyTorch installation. You can install them together as explained at pytorch.org to make sure of this. - torchvision that matches the PyTorch installation. You can install them together as explained at pytorch.org to make sure of this.
- gcc & g++ ≥ 4.9 - gcc & g++ ≥ 4.9
- [fvcore](https://github.com/facebookresearch/fvcore) - [fvcore](https://github.com/facebookresearch/fvcore)
@ -19,9 +19,9 @@ The core library is written in PyTorch. Several components have underlying imple
The runtime dependencies can be installed by running: The runtime dependencies can be installed by running:
``` ```
conda create -n pytorch3d python=3.8 conda create -n pytorch3d python=3.9
conda activate pytorch3d conda activate pytorch3d
conda install -c pytorch pytorch=1.7.1 torchvision cudatoolkit=10.2 conda install -c pytorch pytorch=1.9.1 torchvision cudatoolkit=10.2
conda install -c fvcore -c iopath -c conda-forge fvcore iopath conda install -c fvcore -c iopath -c conda-forge fvcore iopath
``` ```
@ -84,12 +84,12 @@ pip install pytorch3d
``` ```
### 3. Install wheels for Linux ### 3. Install wheels for Linux
We have prebuilt wheels with CUDA for Linux for PyTorch 1.9.0, for each of the CUDA versions that they support, We have prebuilt wheels with CUDA for Linux for PyTorch 1.10.0, for each of the CUDA versions that they support,
for Python 3.7, 3.8 and 3.9. for Python 3.7, 3.8 and 3.9.
These are installed in a special way. These are installed in a special way.
For example, to install for Python 3.8, PyTorch 1.9.0 and CUDA 10.2 For example, to install for Python 3.8, PyTorch 1.9.0 and CUDA 10.2
``` ```
pip install pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/py38_cu102_pyt190/download.html pip install pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/py38_cu102_pyt1100/download.html
``` ```
In general, from inside IPython, or in Google Colab or a jupyter notebook, you can install with In general, from inside IPython, or in Google Colab or a jupyter notebook, you can install with