From 148085b19452be7d87a8c3dddc1d3cce6d1a7842 Mon Sep 17 00:00:00 2001 From: rusty1s Date: Thu, 5 Oct 2023 13:30:14 +0000 Subject: [PATCH] update --- README.md | 16 ---------------- 1 file changed, 16 deletions(-) diff --git a/README.md b/README.md index e002ca3..ce55d79 100644 --- a/README.md +++ b/README.md @@ -75,22 +75,6 @@ where `${CUDA}` should be replaced by either `cpu`, `cu117`, or `cu118` dependin | **Windows** | ✅ | ✅ | ✅ | | **macOS** | ✅ | | | -#### PyTorch 1.13 - -To install the binaries for PyTorch 1.13.0, simply run - -``` -pip install torch-cluster -f https://data.pyg.org/whl/torch-1.13.0+${CUDA}.html -``` - -where `${CUDA}` should be replaced by either `cpu`, `cu116`, or `cu117` depending on your PyTorch installation. - -| | `cpu` | `cu116` | `cu117` | -|-------------|-------|---------|---------| -| **Linux** | ✅ | ✅ | ✅ | -| **Windows** | ✅ | ✅ | ✅ | -| **macOS** | ✅ | | | - **Note:** Binaries of older versions are also provided for PyTorch 1.4.0, PyTorch 1.5.0, PyTorch 1.6.0, PyTorch 1.7.0/1.7.1, PyTorch 1.8.0/1.8.1, PyTorch 1.9.0, PyTorch 1.10.0/1.10.1/1.10.2, PyTorch 1.11.0, PyTorch 1.12.0/1.12.1 and PyTorch 1.13.0/1.13.1 (following the same procedure). For older versions, you need to explicitly specify the latest supported version number or install via `pip install --no-index` in order to prevent a manual installation from source. You can look up the latest supported version number [here](https://data.pyg.org/whl).