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[transformer benchmark] relax tolerance in sdp.py (#101965)

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Summary:
Otherwise we get
```
Traceback (most recent call last):
  File "<string>", line 49, in <module>
  File "<string>", line 47, in __run
  File "/usr/local/fbcode/platform010/lib/python3.8/runpy.py", line 194, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/usr/local/fbcode/platform010/lib/python3.8/runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "/data/users/jongsoo/fbsource/buck-out/v2/gen/fbcode/ef4169ac7f95fb74/caffe2/benchmarks/transformer/__sdp__/sdp#link-tree/caffe2/benchmarks/transformer/sdp.py", line 346, in <module>
    main(save_path)
  File "/data/users/jongsoo/fbsource/buck-out/v2/gen/fbcode/ef4169ac7f95fb74/caffe2/benchmarks/transformer/__sdp__/sdp#link-tree/caffe2/benchmarks/transformer/sdp.py", line 328, in main
    experiment = run_single_experiment(experiment_config)
  File "/data/users/jongsoo/fbsource/buck-out/v2/gen/fbcode/ef4169ac7f95fb74/caffe2/benchmarks/transformer/__sdp__/sdp#link-tree/caffe2/benchmarks/transformer/sdp.py", line 229, in run_single_experiment
    assert_close_tensors(nn_mha_output, composite_mha_output)
  File "/data/users/jongsoo/fbsource/buck-out/v2/gen/fbcode/ef4169ac7f95fb74/caffe2/benchmarks/transformer/__sdp__/sdp#link-tree/caffe2/benchmarks/transformer/sdp.py", line 196, in assert_close_tensors
    assert torch.allclose(a, b, atol=1e-3, rtol=1e-3)
AssertionError
```

Test Plan: buck run mode/dev-nosan //caffe2/benchmarks/transformer:sdp

Differential Revision: D45843836

Pull Request resolved: https://github.com/pytorch/pytorch/pull/101965
Approved by: https://github.com/drisspg
This commit is contained in:
Jongsoo Park 2023-05-23 06:54:02 +00:00 committed by PyTorch MergeBot
parent e9246b290f
commit b91eb97d34
1 changed files with 1 additions and 1 deletions
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2
benchmarks/transformer/sdp.py
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@ -193,7 +193,7 @@ def assert_close_tensors(tensor_a, tensor_b):
# First order sanity check. Not a replacement for rigorous tests. # First order sanity check. Not a replacement for rigorous tests.
if tensor_a.is_nested and tensor_b.is_nested: if tensor_a.is_nested and tensor_b.is_nested:
for a, b in zip(tensor_a.unbind(), tensor_b.unbind()): for a, b in zip(tensor_a.unbind(), tensor_b.unbind()):
assert torch.allclose(a, b, atol=1e-3, rtol=1e-3) assert torch.allclose(a, b, atol=1e-2, rtol=1e-2)
else: else:
assert torch.allclose(tensor_a, tensor_b, atol=1e-3, rtol=1e-3) assert torch.allclose(tensor_a, tensor_b, atol=1e-3, rtol=1e-3)