DISABLED test_mem_efficient_attention_attn_mask_vs_math_ref_grads_batch_size_1_seq_len_q_128_seq_len_k_128_head_dim_64_is_causal_False_dropout_p_0_0_float16_scale0_cuda_float16 (__main__.TestSDPACudaOnlyCUDA)

[pytorch-bot]

Platforms: linux

This test was disabled because it is failing in CI. See recent examples and the most recent trunk workflow logs.

Over the past 3 hours, it has been determined flaky in 3 workflow(s) with 9 failures and 3 successes.

Debugging instructions (after clicking on the recent samples link):
DO NOT ASSUME THINGS ARE OKAY IF THE CI IS GREEN. We now shield flaky tests from developers so CI will thus be green but it will be harder to parse the logs.
To find relevant log snippets:

1. Click on the workflow logs linked above
2. Click on the Test step of the job so that it is expanded. Otherwise, the grepping will not work.
3. Grep for test_mem_efficient_attention_attn_mask_vs_math_ref_grads_batch_size_1_seq_len_q_128_seq_len_k_128_head_dim_64_is_causal_False_dropout_p_0_0_float16_scale0_cuda_float16
4. There should be several instances run (as flaky tests are rerun in CI) from which you can study the logs.

Sample error message

Traceback (most recent call last):
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1228, in not_close_error_metas
    pair.compare()
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py", line 710, in compare
    self._compare_values(actual, expected)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py", line 837, in _compare_values
    compare_fn(
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1016, in _compare_regular_values_close
    matches = torch.isclose(
RuntimeError: atol must be greater than or equal to zero, but got nan

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/var/lib/jenkins/workspace/test/test_transformers.py", line 2920, in test_mem_efficient_attention_attn_mask_vs_math_ref_grads
    self.assertEqual(query.grad, query_ref.grad.to(query.grad.dtype),
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3682, in assertEqual
    error_metas = not_close_error_metas(
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1234, in not_close_error_metas
    raise RuntimeError(
RuntimeError: Comparing

TensorOrArrayPair(
    id=(),
    actual=tensor([[[[-2.8191e-03,  2.8133e-03, -5.1594e-04,  ...,  2.4891e-03,
           -1.5342e-04, -1.6422e-03],
          [-3.3073e-03,  2.2106e-03,  3.5706e-03,  ...,  3.9825e-03,
           -1.1301e-03,  1.8845e-03],
          [-3.2520e-03,  2.2850e-03, -3.0727e-03,  ...,  2.9602e-03,
            2.6360e-03,  3.8548e-03],
          ...,
          [ 1.5287e-03,  9.2888e-04, -5.4061e-05,  ...,  3.2635e-03,
            3.8605e-03,  2.4529e-03],
          [-3.5596e-04,  4.8103e-03,  1.9484e-03,  ..., -3.1590e-04,
           -7.8678e-04,  1.6534e-04],
          [-5.0430e-03,  6.3276e-04, -1.2579e-03,  ...,  7.5989e-03,
           -3.0880e-03,  1.4563e-03]],

         [[-3.2973e-04, -4.9448e-04, -3.5596e-04,  ..., -1.1864e-03,
            2.4109e-03, -5.9485e-05],
          [-4.9067e-04, -2.4676e-04, -3.4676e-03,  ..., -1.1520e-03,
            6.6185e-03, -5.3558e-03],
          [-4.2191e-03, -1.1116e-04, -7.6981e-03,  ...,  1.9112e-03,
            3.1662e-03, -6.7863e-03],
          ...,
          [-4.2419e-03, -4.5471e-03, -4.7150e-03,  ..., -6.2990e-04,
            1.8978e-04, -3.8128e-03],
          [-1.9159e-03,  8.5211e-04, -5.8985e-04,  ..., -9.7322e-04,
            8.4991e-03, -6.7673e-03],
          [ 8.4972e-04, -1.0514e-04, -2.6054e-03,  ..., -1.3056e-03,
            2.3594e-03, -2.0638e-03]],

         [[-1.6947e-03, -4.2267e-03,  6.0768e-03,  ...,  9.5673e-03,
            1.0338e-03, -4.2458e-03],
          [-5.6648e-03, -3.6106e-03,  4.2105e-04,  ...,  7.1831e-03,
            4.7760e-03, -2.2964e-03],
          [-5.7449e-03, -4.8180e-03,  2.1362e-03,  ...,  7.4081e-03,
           -5.4646e-04,  4.0555e-04],
          ...,
          [-2.4719e-03, -1.2865e-03,  3.7575e-04,  ...,  2.9430e-03,
           -1.0948e-03, -1.1673e-03],
          [-5.0163e-03, -3.1872e-03, -2.2697e-03,  ...,  4.5013e-03,
            8.9788e-04, -4.3526e-03],
          [-4.3907e-03, -4.1847e-03, -2.5153e-04,  ...,  9.4681e-03,
            2.0218e-03,  3.2749e-03]],

         [[-1.7519e-03, -2.8191e-03, -7.6027e-03,  ..., -5.9433e-03,
           -7.0763e-03, -2.7695e-03],
          [ 1.2627e-03, -6.6948e-03, -5.7755e-03,  ..., -7.7782e-03,
           -3.7918e-03,  7.0858e-04],
          [-3.7231e-03, -7.1049e-04, -2.0561e-03,  ..., -5.6534e-03,
           -1.1730e-03, -3.3531e-03],
          ...,
          [ 6.0749e-04, -3.3379e-03, -4.3983e-03,  ..., -5.3291e-03,
           -9.1782e-03, -8.1491e-04],
          [-2.2089e-04, -3.2196e-03, -3.7766e-03,  ..., -2.9640e-03,
           -2.3842e-03, -6.3896e-04],
          [ 3.1147e-03, -2.0313e-03, -4.3068e-03,  ..., -3.7594e-03,
           -2.2354e-03, -2.5711e-03]]]], device='cuda:0', dtype=torch.float16),
    expected=tensor([[[[-9.9373e-04,  1.2302e-03, -2.8300e-04,  ...,  1.2178e-03,
           -9.4748e-04, -8.0633e-04],
          [-5.4693e-04,  1.4067e-03,  1.6012e-03,  ...,  1.9236e-03,
            1.7464e-04,  1.1625e-03],
          [-1.5888e-03, -4.4656e-04, -9.7036e-04,  ..., -1.7822e-04,
           -1.3323e-03,  1.8692e-04],
          ...,
          [-4.0436e-04, -1.5104e-04, -2.2173e-04,  ...,  9.1076e-04,
           -1.9512e-03,  1.7128e-03],
          [-1.0192e-04,  1.2560e-03, -1.0562e-04,  ..., -3.2234e-04,
           -2.0714e-03,  1.5879e-04],
          [ 3.9506e-04,  3.1586e-03,  2.9068e-03,  ...,  2.7828e-03,
           -1.2236e-03,  1.6356e-03]],

         [[-1.5478e-03, -2.5749e-03, -5.2719e-03,  ..., -3.1090e-03,
           -1.4353e-03, -8.6498e-04],
          [-6.3467e-04, -2.9907e-03, -2.2068e-03,  ..., -1.8063e-03,
           -5.5265e-04, -1.8196e-03],
          [-5.7459e-04, -1.5230e-03, -3.0556e-03,  ..., -4.5705e-04,
            8.1301e-04, -7.4196e-04],
          ...,
          [-2.1780e-04, -3.0994e-03, -3.1872e-03,  ..., -1.7128e-03,
            5.3763e-05, -2.1896e-03],
          [ 1.1759e-03, -1.6737e-04, -2.2209e-04,  ...,  2.4557e-05,
            1.4296e-03,  4.8757e-04],
          [-1.2674e-03, -3.6278e-03, -4.9248e-03,  ..., -3.2387e-03,
           -2.1133e-03, -1.7452e-03]],

         [[-3.7823e-03, -5.8289e-03, -5.8899e-03,  ..., -4.2953e-03,
           -4.4174e-03, -4.7150e-03],
          [-2.8801e-03, -3.8948e-03, -5.4474e-03,  ..., -4.5013e-03,
           -2.6360e-03, -4.8103e-03],
          [-2.1191e-03, -3.4370e-03, -5.1575e-03,  ..., -5.0659e-03,
           -3.1281e-03, -3.1242e-03],
          ...,
          [-4.4060e-03, -3.5210e-03, -5.2643e-03,  ..., -5.1842e-03,
           -3.6507e-03, -4.7073e-03],
          [-4.2458e-03, -4.4212e-03, -6.8665e-03,  ..., -5.7335e-03,
           -3.0708e-03, -5.8784e-03],
          [-6.8283e-03, -8.0872e-03, -9.6436e-03,  ..., -7.8659e-03,
           -7.2975e-03, -6.5460e-03]],

         [[-1.7662e-03, -1.4038e-03, -2.1648e-03,  ..., -2.7523e-03,
           -2.9621e-03, -1.6623e-03],
          [-1.0090e-03, -1.1930e-03, -3.3951e-03,  ..., -9.3317e-04,
           -1.7042e-03,  4.4751e-04],
          [-2.3003e-03, -3.0937e-03, -1.5764e-03,  ..., -1.9236e-03,
           -3.1376e-03, -1.3924e-03],
          ...,
          [-8.5771e-05, -1.2360e-03, -2.3975e-03,  ..., -7.2861e-04,
           -1.5278e-03,  1.0198e-04],
          [-2.7027e-03, -2.6665e-03, -4.5929e-03,  ..., -3.8376e-03,
           -4.2152e-03, -3.2387e-03],
          [ 3.8528e-04, -7.8058e-04, -1.0777e-03,  ..., -8.5878e-04,
            6.3229e-04, -6.5899e-04]]]], device='cuda:0', dtype=torch.float16),
    rtol=208177104.0,
    atol=nan,
    equal_nan=True,
    check_device=False,
    check_dtype=True,
    check_layout=False,
    check_stride=False,
)

resulted in the unexpected exception above. If you are a user and see this message during normal operation please file an issue at https://github.com/pytorch/pytorch/issues. If you are a developer and working on the comparison functions, please except the previous error and raise an expressive `ErrorMeta` instead.

To execute this test, run the following from the base repo dir:
    python test/test_transformers.py -k TestSDPACudaOnlyCUDA.test_mem_efficient_attention_attn_mask_vs_math_ref_grads_batch_size_1_seq_len_q_128_seq_len_k_128_head_dim_64_is_causal_False_dropout_p_0_0_float16_scale0_cuda_float16

This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0

Test file path: test_transformers.py

cc @albanD @mruberry @jbschlosser @walterddr @mikaylagawarecki @clee2000

[pytorch-bot]

Hello there! From the DISABLED prefix in this issue title, it looks like you are attempting to disable a test in PyTorch CI. The information I have parsed is below:

• Test name: test_mem_efficient_attention_attn_mask_vs_math_ref_grads_batch_size_1_seq_len_q_128_seq_len_k_128_head_dim_64_is_causal_False_dropout_p_0_0_float16_scale0_cuda_float16 (__main__.TestSDPACudaOnlyCUDA)
• Platforms for which to skip the test: linux
• Disabled by pytorch-bot[bot]

Within ~15 minutes, test_mem_efficient_attention_attn_mask_vs_math_ref_grads_batch_size_1_seq_len_q_128_seq_len_k_128_head_dim_64_is_causal_False_dropout_p_0_0_float16_scale0_cuda_float16 (__main__.TestSDPACudaOnlyCUDA) will be disabled in PyTorch CI for these platforms: linux. Please verify that your test name looks correct, e.g., test_cuda_assert_async (__main__.TestCuda).

To modify the platforms list, please include a line in the issue body, like below. The default action will disable the test for all platforms if no platforms list is specified.

Platforms: case-insensitive, list, of, platforms

We currently support the following platforms: asan, dynamo, inductor, linux, mac, macos, rocm, slow, win, windows.

[pytorch-bot]

Another case of trunk flakiness has been found here. Reopening issue. The list of platforms [linux] appears to contain all the recently affected platforms [linux].

[pytorch-bot]

Another case of trunk flakiness has been found here. The list of platforms [linux] appears to contain all the recently affected platforms [linux]. Either the change didn't propogate fast enough or disable bot might be broken.