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Description
🐛 Describe the bug
he newly added Inductor UT test/inductor/test_control_flow.py:test_cond_control_flow_with_precomputed_size from #129492 decorated with requires_gpu, but hard code cuda, which fails on XPU.
Versions
PyTorch version: 2.5.0a0+gitcfd5666
Is debug build: False
CUDA used to build PyTorch: 12.3
ROCM used to build PyTorch: N/A
OS: Ubuntu 22.04.4 LTS (x86_64)
GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Clang version: Could not collect
CMake version: version 3.29.3
Libc version: glibc-2.35
Python version: 3.10.14 | packaged by conda-forge | (main, Mar 20 2024, 12:45:18) [GCC 12.3.0] (64-bit runtime)
Python platform: Linux-5.15.47+prerelease23.5.18-x86_64-with-glibc2.35
Is CUDA available: False
CUDA runtime version: No CUDA
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True