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Installation updates for next release.
Summary: We've made some build updates. Reviewed By: jcjohnson Differential Revision: D23244111 fbshipit-source-id: dba6e5dc3a9d7dcb2b62094f7f7b8b5abca190d9
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INSTALL.md
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INSTALL.md
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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.
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- Linux or macOS or Windows
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- Python ≥ 3.6
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- PyTorch 1.4 or 1.5
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- torchvision that matches the PyTorch installation. You can install them together at pytorch.org to make sure of this.
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- Python 3.6, 3.7 or 3.8
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- PyTorch 1.4, 1.5.0, 1.5.1 or 1.6.0
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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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- If CUDA is to be used, use at least version 9.2.
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@ -19,7 +19,7 @@ These can be installed by running:
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```
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conda create -n pytorch3d python=3.8
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conda activate pytorch3d
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conda install -c pytorch pytorch torchvision cudatoolkit=10.2
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conda install -c pytorch pytorch=1.6.0 torchvision cudatoolkit=10.2
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conda install -c conda-forge -c fvcore fvcore
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```
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@ -42,7 +42,7 @@ conda install jupyter
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pip install scikit-image matplotlib imageio
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# Tests/Linting
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pip install black isort flake8 flake8-bugbear flake8-comprehensions
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pip install black 'isort<5' flake8 flake8-bugbear flake8-comprehensions
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```
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## Installing prebuilt binaries for PyTorch3D
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@ -60,21 +60,28 @@ Or, to install a nightly (non-official, alpha) build:
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# Anaconda Cloud
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conda install pytorch3d -c pytorch3d-nightly
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```
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### 2. Install without CUDA support from PyPI, on Linux and Mac
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### 2. Install from PyPI, on Linux and Mac
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This works with pytorch 1.6.0 only.
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```
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pip install pytorch3d
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```
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On Linux this has support for CUDA 10.1. On Mac this is CPU-only.
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## Building / installing from source.
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CUDA support will be included if CUDA is enabled or if the environment variable
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CUDA support will be included if CUDA is available in pytorch or if the environment variable
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`FORCE_CUDA` is set to `1`.
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### 1. Install from GitHub
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```
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pip install 'git+https://github.com/facebookresearch/pytorch3d.git'
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```
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To install using the code of the released version instead of from the main branch, use the following instead.
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```
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pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'
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```
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**Install from Github on macOS:**
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Some environment variables should be provided, like this.
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```
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MACOSX_DEPLOYMENT_TARGET=10.14 CC=clang CXX=clang++ pip install 'git+https://github.com/facebookresearch/pytorch3d.git'
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```
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