add torch 2.8.0 and 2.9.0

Author: okdshin

.github/workflows/_build.yml

@@ -104,8 +104,8 @@ jobs:
           # e.g. we can have system CUDA version being 11.7 but if torch==1.12 then we need to download the wheel from cu116
           # This code is ugly, maybe there's a better way to do this.
           export TORCH_CUDA_VERSION=$(python -c "from os import environ as env; \
-            minv = {'2.4': 118, '2.5': 118, '2.6': 118, '2.7': 118, '2.8': 126}[env['MATRIX_TORCH_VERSION']]; \
-            maxv = {'2.4': 124, '2.5': 124, '2.6': 126, '2.7': 128, '2.8': 129}[env['MATRIX_TORCH_VERSION']]; \
+            minv = {'2.4': 118, '2.5': 118, '2.6': 118, '2.7': 118, '2.8': 126, '2.9': 126}[env['MATRIX_TORCH_VERSION']]; \
+            maxv = {'2.4': 124, '2.5': 124, '2.6': 126, '2.7': 128, '2.8': 129, '2.9': 130}[env['MATRIX_TORCH_VERSION']]; \
             print(minv if int(env['MATRIX_CUDA_VERSION']) < 120 else maxv)" \
           )
           if [[ ${{ inputs.torch-version }} == *"dev"* ]]; then

.github/workflows/publish.yaml

@@ -44,7 +44,7 @@ jobs:
         # manylinux docker image, but I haven't figured out how to install CUDA on manylinux.
         os: [ubuntu-22.04]
         python-version: ["3.9", "3.10", "3.11", "3.12", "3.13"]
-        torch-version: ["2.4.0", "2.5.1", "2.6.0", "2.7.1"]
+        torch-version: ["2.4.0", "2.5.1", "2.6.0", "2.7.1", "2.8.0", "2.9.0"]
         cuda-version: ["11.8.0", "12.9.1"]
         # We need separate wheels that either uses C++11 ABI (-D_GLIBCXX_USE_CXX11_ABI) or not.
         # Pytorch wheels currently don't use it, but nvcr images have Pytorch compiled with C++11 ABI.