chore: update thor cuda arch (from 110f to 110a) (#2096)

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## 📌 Description

Duplicate of #2091, created PR from flashinfer-ai to enable workflow.

## 🔍 Related Issues

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<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->

## Summary by CodeRabbit

* **Bug Fixes**
* Corrected CUDA compute capability targeting from 11.0f to 11.0a for
improved compatibility across build configurations.

* **Documentation**
* Updated installation and build documentation to reflect updated CUDA
architecture configurations for both older and newer CUDA versions.

<!-- end of auto-generated comment: release notes by coderabbit.ai -->

Author: yzh119

.github/workflows/nightly-release.yml

@@ -145,7 +145,7 @@ jobs:
       - name: Build wheel in container
         env:
           DOCKER_IMAGE: ${{ matrix.arch == 'aarch64' && format('pytorch/manylinuxaarch64-builder:cuda{0}', matrix.cuda) || format('pytorch/manylinux2_28-builder:cuda{0}', matrix.cuda) }}
-          FLASHINFER_CUDA_ARCH_LIST: ${{ matrix.cuda < '13.0' && '7.5 8.0 8.9 9.0a 10.0a 12.0a' || '7.5 8.0 8.9 9.0a 10.0a 10.3a 11.0f 12.0f' }}
+          FLASHINFER_CUDA_ARCH_LIST: ${{ matrix.cuda < '13.0' && '7.5 8.0 8.9 9.0a 10.0a 12.0a' || '7.5 8.0 8.9 9.0a 10.0a 10.3a 11.0a 12.0f' }}
           FLASHINFER_DEV_RELEASE_SUFFIX: ${{ needs.setup.outputs.dev_suffix }}
         run: |
           # Extract CUDA major and minor versions

.github/workflows/release.yml

@@ -182,7 +182,7 @@ jobs:
       - name: Build wheel in container
         env:
           DOCKER_IMAGE: ${{ matrix.arch == 'aarch64' && format('pytorch/manylinuxaarch64-builder:cuda{0}', matrix.cuda) || format('pytorch/manylinux2_28-builder:cuda{0}', matrix.cuda) }}
-          FLASHINFER_CUDA_ARCH_LIST: ${{ matrix.cuda < '13.0' && '7.5 8.0 8.9 9.0a 10.0a 12.0a' || '7.5 8.0 8.9 9.0a 10.0a 10.3a 11.0f 12.0f' }}
+          FLASHINFER_CUDA_ARCH_LIST: ${{ matrix.cuda < '13.0' && '7.5 8.0 8.9 9.0a 10.0a 12.0a' || '7.5 8.0 8.9 9.0a 10.0a 10.3a 11.0a 12.0f' }}
         run: |
           # Extract CUDA major and minor versions
           CUDA_MAJOR=$(echo "${{ matrix.cuda }}" | cut -d'.' -f1)

README.md

@@ -90,7 +90,7 @@ python -m pip install dist/*.whl
 
 `flashinfer-jit-cache` (customize `FLASHINFER_CUDA_ARCH_LIST` for your target GPUs):
 ```bash
-export FLASHINFER_CUDA_ARCH_LIST="7.5 8.0 8.9 10.0a 10.3a 11.0f 12.0f"
+export FLASHINFER_CUDA_ARCH_LIST="7.5 8.0 8.9 10.0a 10.3a 11.0a 12.0f"
 cd flashinfer-jit-cache
 python -m build --no-isolation --wheel
 python -m pip install dist/*.whl

docs/installation.rst

@@ -92,7 +92,7 @@ You can follow the steps below to install FlashInfer from source code:
 
    .. code-block:: bash
 
-       export FLASHINFER_CUDA_ARCH_LIST="7.5 8.0 8.9 10.0a 10.3a 11.0f 12.0f"
+       export FLASHINFER_CUDA_ARCH_LIST="7.5 8.0 8.9 10.0a 10.3a 11.0a 12.0f"
        cd flashinfer-jit-cache
        python -m build --no-isolation --wheel
        python -m pip install dist/*.whl

scripts/task_test_jit_cache_package_build_import.sh

@@ -46,7 +46,7 @@ if cuda_ver is not None:
         if (major, minor) >= (13, 0):
             arches.append("10.0a")
             arches.append("10.3a")
-            arches.append("11.0f")
+            arches.append("11.0a")
             arches.append("12.0f")
         elif (major, minor) >= (12, 9):
             arches.append("10.0a")