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README.md and INSTALL.md updates

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Summary: misc updates

Reviewed By: davidsonic

Differential Revision: D42072730

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Jeremy Reizenstein 2022-12-15 16:15:45 -08:00 committed by Facebook GitHub Bot
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12
INSTALL.md
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@ -8,8 +8,8 @@
The core library is written in PyTorch. Several components have underlying implementation in CUDA for improved performance. A subset of these components have CPU implementations in C++/PyTorch. It is advised to use PyTorch3D with GPU support in order to use all the features. The core library is written in PyTorch. Several components have underlying implementation in CUDA for improved performance. A subset of these components have CPU implementations in C++/PyTorch. It is advised to use PyTorch3D with GPU support in order to use all the features.
- Linux or macOS or Windows - Linux or macOS or Windows
- Python 3.6, 3.7, 3.8 or 3.9 - Python 3.8, 3.9 or 3.10
- PyTorch 1.8.0, 1.8.1, 1.9.0, 1.9.1, 1.10.0, 1.10.1, 1.10.2, 1.11.0 or 1.12.0. - 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.
- 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)
@ -21,11 +21,11 @@ The runtime dependencies can be installed by running:
``` ```
conda create -n pytorch3d python=3.9 conda create -n pytorch3d python=3.9
conda activate pytorch3d conda activate pytorch3d
conda install -c pytorch pytorch=1.9.1 torchvision cudatoolkit=10.2 conda install -c pytorch pytorch=1.9.1 torchvision cudatoolkit=11.6
conda install -c fvcore -c iopath -c conda-forge fvcore iopath conda install -c fvcore -c iopath -c conda-forge fvcore iopath
``` ```
For the CUB build time dependency, if you are using conda, you can continue with For the CUB build time dependency, which you only need if you have CUDA older than 11.7, if you are using conda, you can continue with
``` ```
conda install -c bottler nvidiacub conda install -c bottler nvidiacub
``` ```
@ -78,14 +78,14 @@ Or, to install a nightly (non-official, alpha) build:
conda install pytorch3d -c pytorch3d-nightly conda install pytorch3d -c pytorch3d-nightly
``` ```
### 2. Install from PyPI, on Mac only. ### 2. Install from PyPI, on Mac only.
This works with pytorch 1.12.0 only. The build is CPU only. This works with pytorch 1.13.0 only. The build is CPU only.
``` ```
pip install pytorch3d pip install pytorch3d
``` ```
### 3. Install wheels for Linux ### 3. Install wheels for Linux
We have prebuilt wheels with CUDA for Linux for PyTorch 1.11.0, for each of the supported CUDA versions, 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. for Python 3.8 and 3.9. This is for ease of use on Google Colab.
These are installed in a special way. These are installed in a special way.
For example, to install for Python 3.8, PyTorch 1.11.0 and CUDA 11.3 For example, to install for Python 3.8, PyTorch 1.11.0 and CUDA 11.3
``` ```

3
README.md
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@ -100,6 +100,7 @@ In alphabetical order:
* Amitav Baruah * Amitav Baruah
* Steve Branson * Steve Branson
* Krzysztof Chalupka * Krzysztof Chalupka
* Jiali Duan
* Luya Gao * Luya Gao
* Georgia Gkioxari * Georgia Gkioxari
* Taylor Gordon * Taylor Gordon
@ -143,6 +144,8 @@ 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). 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).
**[Oct 23rd 2022]:** PyTorch3D [v0.7.1](https://github.com/facebookresearch/pytorch3d/releases/tag/v0.7.1) released.
**[Aug 10th 2022]:** PyTorch3D [v0.7.0](https://github.com/facebookresearch/pytorch3d/releases/tag/v0.7.0) released with Implicitron and MeshRasterizerOpenGL. **[Aug 10th 2022]:** PyTorch3D [v0.7.0](https://github.com/facebookresearch/pytorch3d/releases/tag/v0.7.0) released with Implicitron and MeshRasterizerOpenGL.
**[Apr 28th 2022]:** PyTorch3D [v0.6.2](https://github.com/facebookresearch/pytorch3d/releases/tag/v0.6.2) released **[Apr 28th 2022]:** PyTorch3D [v0.6.2](https://github.com/facebookresearch/pytorch3d/releases/tag/v0.6.2) released