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update INSTALL.md for next release

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Summary: New Python, new PyTorches.

Reviewed By: patricklabatut

Differential Revision: D29538175

fbshipit-source-id: f7086ef84a2993c760a1b1f668a3336e898c801e
This commit is contained in:
Jeremy Reizenstein 2021-08-03 08:09:39 -07:00 committed by Facebook GitHub Bot
parent 5ecce83217
commit 4d2c0600f6
1 changed files with 9 additions and 31 deletions
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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.
- Linux or macOS or Windows
- Python 3.6, 3.7 or 3.8
- PyTorch 1.4, 1.5.0, 1.5.1, 1.6.0, 1.7.0, or 1.7.1.
- Python 3.6, 3.7, 3.8 or 3.9
- PyTorch 1.4, 1.5.0, 1.5.1, 1.6.0, 1.7.0, 1.7.1, 1.8.0, 1.8.1 or 1.9.0.
- 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)
@ -78,17 +78,18 @@ Or, to install a nightly (non-official, alpha) build:
conda install pytorch3d -c pytorch3d-nightly
```
### 2. Install from PyPI, on Mac only.
This works with pytorch 1.7.1 only. The build is CPU only.
This works with pytorch 1.9.0 only. The build is CPU only.
```
pip install pytorch3d
```
### 3. Install wheels for Linux
We have prebuilt wheels with CUDA for Linux for PyTorch 1.7.0 and 1.7.1, for each of the CUDA versions that they support.
We have prebuilt wheels with CUDA for Linux for PyTorch 1.9.0, for each of the CUDA versions that they support,
for Python 3.7, 3.8 and 3.9.
These are installed in a special way.
For example, to install for Python 3.6, PyTorch 1.7.0 and CUDA 10.1
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/py36_cu101_pyt170/download.html
pip install pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/py38_cu102_pyt190/download.html
```
In general, from inside IPython, or in Google Colab or a jupyter notebook, you can install with
@ -138,32 +139,9 @@ MACOSX_DEPLOYMENT_TARGET=10.14 CC=clang CXX=clang++ pip install -e .
**Install from local clone on Windows:**
If you are using pre-compiled pytorch 1.4 and torchvision 0.5, you should make the following changes to the pytorch source code to successfully compile with Visual Studio 2019 (MSVC 19.16.27034) and CUDA 10.1.
Depending on the version of PyTorch, changes to some PyTorch headers may be needed before compilation. These are often discussed in issues in this repository.
Change python/Lib/site-packages/torch/include/csrc/jit/script/module.h
L466, 476, 493, 506, 536
```
-static constexpr *
+static const *
```
Change python/Lib/site-packages/torch/include/csrc/jit/argument_spec.h
L190
```
-static constexpr size_t DEPTH_LIMIT = 128;
+static const size_t DEPTH_LIMIT = 128;
```
Change python/Lib/site-packages/torch/include/pybind11/cast.h
L1449
```
-explicit operator type&() { return *(this->value); }
+explicit operator type& () { return *((type*)(this->value)); }
```
After patching, you can go to "x64 Native Tools Command Prompt for VS 2019" to compile and install
After any necessary patching, you can go to "x64 Native Tools Command Prompt for VS 2019" to compile and install
```
cd pytorch3d
python3 setup.py install