Fixes #ISSUE_NUMBER
Failing due to memory leak, ex
https://github.com/pytorch/pytorch/actions/runs/18401518298/job/52434584458
```
2025-10-10T11:07:42.9485277Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_65_cuda_bfloat16 _
2025-10-10T11:07:42.9485389Z Traceback (most recent call last):
2025-10-10T11:07:42.9485869Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3278, in wrapper
2025-10-10T11:07:42.9485966Z method(*args, **kwargs)
2025-10-10T11:07:42.9486365Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3278, in wrapper
2025-10-10T11:07:42.9486454Z method(*args, **kwargs)
2025-10-10T11:07:42.9486849Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3277, in wrapper
2025-10-10T11:07:42.9486933Z with policy():
2025-10-10T11:07:42.9487380Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2654, in __exit__
2025-10-10T11:07:42.9487473Z raise RuntimeError(msg)
2025-10-10T11:07:42.9488533Z RuntimeError: CUDA driver API confirmed a leak in __main__.TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_65_cuda_bfloat16! Caching allocator allocated memory was 19456 and is now reported as 29184 on device 0. CUDA driver allocated memory was 356712448 and is now 358809600.
2025-10-10T11:07:42.9488543Z
2025-10-10T11:07:42.9488722Z To execute this test, run the following from the base repo dir:
2025-10-10T11:07:42.9489520Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_65_cuda_bfloat16
2025-10-10T11:07:42.9489525Z
2025-10-10T11:07:42.9489748Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
```
Got added in #161680
Pull Request resolved: https://github.com/pytorch/pytorch/pull/165147
Approved by: https://github.com/bbeckca
Summary:
What: Enables CUDA support for concat linear int8_mm woq optimization pattern by:
- Updating pattern validation to accept CUDA devices
- Adding test coverage for CUDA
Why: Extend WOQ to more device types
Test Plan:
```
buck2 run 'fbcode//mode/opt' //caffe2/test/inductor:cuda_select_algorithm
```
Rollback Plan:
Differential Revision: D80884518
Pull Request resolved: https://github.com/pytorch/pytorch/pull/161848
Approved by: https://github.com/jerryzh168
Summary:
What: Enables CUDA support for int8_mm woq optimization pattern by:
- Fixing dtype conversion in weight_int8pack_mm_kernel to match CPU
- Updating pattern validation to accept CUDA devices
- Adding test coverage for CUDA
Why: Extend WOQ to more device types
Test Plan:
```
buck2 run 'fbcode//mode/opt' //caffe2/test/inductor:cuda_select_algorithm
```
Rollback Plan:
Reviewed By: jerryzh168
Differential Revision: D80882442
Pull Request resolved: https://github.com/pytorch/pytorch/pull/161680
Approved by: https://github.com/jerryzh168
