Fix upstream profiler for several kernels #2498
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Signed-off-by: Anatoly Myachev <[email protected]>
Signed-off-by: Anatoly Myachev <[email protected]>
Signed-off-by: Anatoly Myachev <[email protected]>
Signed-off-by: Anatoly Myachev <[email protected]>
anmyachev
commented
Oct 16, 2024
| # benchmark_suit.assert_close(xetla_fn(), torch_fn(), atol=1e-4, rtol=1.0, err_msg='xetla to torch') | ||
| _, min_ms, max_ms, mean_ms, cv = benchmark_suit.do_bench( | ||
| xetla_fn, n_warmup=10, n_repeat=10, quantiles=quantiles, | ||
| kernel_name='gpu::xetla::kernel::gemm_universal_t<dispatch_stream_k') |
Contributor
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There was an incorrect kernel name. The error was not visible because at the time of adding, the benchmark was not running in CI.
anmyachev
commented
Oct 16, 2024
| assert len(functions) == n_repeat, f"the profiling number not match, {len(functions)}" | ||
| # Make the time to the milliseconds. | ||
| times = torch.tensor([f.self_device_time_total * 1e-3 for f in functions], dtype=torch.float) | ||
| times = torch.tensor([sum(map(lambda elem: elem.self_device_time_total, f)) * 1e-3 for f in zip(*all_functions)], |
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The main problem was that the time of several kernels was not summed up. This affects only "gemm streamk" benchmark.
yudongsi
approved these changes
Oct 17, 2024
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