Update flash_attention_fwd_benchmark.py
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Signed-off-by: Anatoly Myachev <[email protected]>
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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]>
This reverts commit de9335c.
Signed-off-by: Anatoly Myachev <[email protected]>
anmyachev
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Sep 19, 2024
| q, k, v, attn_mask=None, dropout_p=0.0, is_causal=False, scale=sm_scale).to(torch.float32) | ||
| atol = 1e-1 if N_CTX == 16384 else 1e-2 | ||
| benchmark_suit.assert_close(triton_fn(), torch_fn(), atol=atol, rtol=1e-3, err_msg='triton to torch') | ||
| torch_fn = lambda: torch.nn.functional.scaled_dot_product_attention( |
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Using ZE_FLAT_DEVICE_HIERARCHY=COMPOSITE the available memory is doubled and there is no more out of memory error for upstream pytorch (however, this affects the performance)
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CI:
Error:
torch.OutOfMemoryError: XPU out of memory. Tried to allocate 32.00 GiB. GPU 0 has a total capacity of 64.00 GiB. Of the allocated memory 32.81 GiB is allocated by PyTorch, and 0 bytes is reserved by PyTorch but unallocated. Please use `empty_cache` to release all unoccupied cached memory.It's strange that
a total capacityis 64.00 GiB. I need to understand why (the expected capacity should be more in my understanding).UPD: Maybe it's related to https://spec.oneapi.io/level-zero/latest/core/PROG.html#environment-variables ZE_FLAT_DEVICE_HIERARCHY