trunk/67b8be4142e25149abbc1dabadbb766791a3c647: [inductor] Pass correct device to print_performance (#181957)

PyTorch's latest commit (67b8be4) addresses a bug in the inductor compiler's benchmarking utility. The issue, reported in GitHub issue #181954, caused `print_performance` to always receive `'cuda'` as the device parameter within `benchmark_compiled_module`. This meant that performance metrics were consistently attributed to CUDA, even when the actual computation ran on CPU. For users running benchmarks on non-CUDA devices, this led to misleading performance outputs.

The fix is straightforward but impactful. Contributor guangyey submitted a pull request that passes the correct device variable—derived from the module being benchmarked—to the `print_performance` function. The change ensures that performance data accurately reflects the hardware used for computation. Approved by PyTorch core maintainer jansel, this merge improves the reliability of benchmark reports for developers working with mixed-device workflows or exclusively CPU environments. The change is part of ongoing maintenance for the inductor project, which optimizes PyTorch models for faster execution.