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INSTALL/README updates

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Summary: Updates for version 0.6.2

Differential Revision: D35980557

fbshipit-source-id: e677a22d4f8a323376310dfb536133bee8045f1f
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Jeremy Reizenstein 2022-04-28 04:48:24 -07:00 committed by Facebook GitHub Bot
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10
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
- 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, 1.9.1 or 1.10.0.
- 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.
- 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
- [fvcore](https://github.com/facebookresearch/fvcore)
@ -84,12 +84,12 @@ pip install pytorch3d
```
### 3. Install wheels for Linux
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.
We have prebuilt wheels with CUDA for Linux for PyTorch 1.11.0, for each of the supported CUDA versions,
for Python 3.7, 3.8 and 3.9. This is for ease of use on Google Colab.
These are installed in a special way.
For example, to install for Python 3.8, PyTorch 1.10.0 and CUDA 10.2
For example, to install for Python 3.8, PyTorch 1.11.0 and CUDA 10.2
```
pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/py38_cu102_pyt1100/download.html
pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/py38_cu102_pyt1110/download.html
```
In general, from inside IPython, or in Google Colab or a jupyter notebook, you can install with

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README.md
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@ -136,6 +136,8 @@ If you are using the pulsar backend for sphere-rendering (the `PulsarPointRender
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).
**[Dec 16th 2021]:** PyTorch3D [v0.6.1](https://github.com/facebookresearch/pytorch3d/releases/tag/v0.6.1) released
**[Oct 6th 2021]:** PyTorch3D [v0.6.0](https://github.com/facebookresearch/pytorch3d/releases/tag/v0.6.0) released
**[Aug 5th 2021]:** PyTorch3D [v0.5.0](https://github.com/facebookresearch/pytorch3d/releases/tag/v0.5.0) released