Skip to content

chore(deps): bump pylint from 2.17.6 to 3.2.5 in /requirements/lintrunner #7469

chore(deps): bump pylint from 2.17.6 to 3.2.5 in /requirements/lintrunner

chore(deps): bump pylint from 2.17.6 to 3.2.5 in /requirements/lintrunner #7469

GitHub Actions / Test Results failed Jul 23, 2024 in 0s

34 fail, 1 933 skipped, 13 554 pass in 3h 2m 0s

     24 files  ±     0      24 suites  ±0   3h 2m 0s ⏱️ + 5m 30s
 15 521 tests + 4 999  13 554 ✅ +4 957    1 933 💤 +    11   34 ❌ + 31 
437 123 runs   - 15 091  93 743 ✅  - 1 774  343 108 💤  - 13 586  272 ❌ +269 

Results for commit 59d4b72. ± Comparison against earlier commit b65f6c5.

Annotations

Check warning on line 0 in tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU

See this annotation in the file changed.

@github-actions github-actions / Test Results

6 out of 22 runs failed: test_output_match_opinfo__var_unbiased_cpu_float16 (tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU)

artifacts/Test Results (py311-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-windows-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-windows-latest)/pytest.xml [took 0s]
Raw output
AssertionError: Scalars are not close!

Expected 25.765625 but got 25.796875.
Absolute difference: 0.03125 (up to 1e-05 allowed)
Relative difference: 0.001212856276531231 (up to 0.001 allowed)
tests\function_libs\torch_lib\ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Scalars are not close!
E   
E   Expected 25.765625 but got 25.796875.
E   Absolute difference: 0.03125 (up to 1e-05 allowed)
E   Relative difference: 0.001212856276531231 (up to 0.001 allowed)

Check warning on line 0 in tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU

See this annotation in the file changed.

@github-actions github-actions / Test Results

6 out of 22 runs failed: test_output_match_opinfo__floor_divide_cpu_float16 (tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU)

artifacts/Test Results (py311-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-windows-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-windows-latest)/pytest.xml [took 0s]
Raw output
Failed: Unexpected success
Unexpected success

Check warning on line 0 in tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU

See this annotation in the file changed.

@github-actions github-actions / Test Results

6 out of 22 runs failed: test_output_match_opinfo__var_correction_cpu_float16 (tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU)

artifacts/Test Results (py311-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-windows-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-windows-latest)/pytest.xml [took 0s]
Raw output
AssertionError: Tensor-likes are not close!

Mismatched elements: 2 / 25 (8.0%)
Greatest absolute difference: 0.03125 at index (2, 3) (up to 1e-05 allowed)
Greatest relative difference: 0.0017795562744140625 at index (2, 3) (up to 0.001 allowed)
AssertionError: Tensor-likes are not close!

Mismatched elements: 2 / 25 (8.0%)
Greatest absolute difference: 0.0625 at index (2, 2) (up to 1e-05 allowed)
Greatest relative difference: 0.0014429092407226562 at index (2, 3) (up to 0.001 allowed)
tests\function_libs\torch_lib\ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 2 / 25 (8.0%)
E   Greatest absolute difference: 0.03125 at index (2, 3) (up to 1e-05 allowed)
E   Greatest relative difference: 0.0017795562744140625 at index (2, 3) (up to 0.001 allowed)
tests\function_libs\torch_lib\ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 2 / 25 (8.0%)
E   Greatest absolute difference: 0.0625 at index (2, 2) (up to 1e-05 allowed)
E   Greatest relative difference: 0.0014429092407226562 at index (2, 3) (up to 0.001 allowed)

Check warning on line 0 in tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU

See this annotation in the file changed.

@github-actions github-actions / Test Results

6 out of 22 runs failed: test_output_match_opinfo__erfc_cpu_float16 (tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU)

artifacts/Test Results (py311-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-windows-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-windows-latest)/pytest.xml [took 0s]
Raw output
AssertionError: Tensor-likes are not close!

Mismatched elements: 1 / 20 (5.0%)
Greatest absolute difference: 0.00023031234741210938 at index (2,) (up to 0.0002 allowed)
Greatest relative difference: 0.892578125 at index (2,) (up to 0.01 allowed)
tests\function_libs\torch_lib\ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 1 / 20 (5.0%)
E   Greatest absolute difference: 0.00023031234741210938 at index (2,) (up to 0.0002 allowed)
E   Greatest relative difference: 0.892578125 at index (2,) (up to 0.01 allowed)

Check warning on line 0 in tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU

See this annotation in the file changed.

@github-actions github-actions / Test Results

6 out of 22 runs failed: test_output_match_opinfo__ops_aten_embedding_bag_cpu_float16 (tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU)

artifacts/Test Results (py311-torch-nightly-macos-latest)/pytest.xml [took 1s]
artifacts/Test Results (py311-torch-nightly-ubuntu-latest)/pytest.xml [took 8s]
artifacts/Test Results (py311-torch-nightly-windows-latest)/pytest.xml [took 29s]
artifacts/Test Results (py312-torch-nightly-macos-latest)/pytest.xml [took 1s]
artifacts/Test Results (py312-torch-nightly-ubuntu-latest)/pytest.xml [took 10s]
artifacts/Test Results (py312-torch-nightly-windows-latest)/pytest.xml [took 24s]
Raw output
AssertionError: Output 0 mismatch
AssertionError: Output 0 mismatch
tests\function_libs\torch_lib\ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 1 / 15 (6.7%)
E   Greatest absolute difference: 0.0546875 at index (2, 0) (up to 0.01 allowed)
E   Greatest relative difference: 0.0124359130859375 at index (2, 0) (up to 0.01 allowed)

The above exception was the direct cause of the following exception:
tests\function_libs\torch_lib\ops_test.py:266: in run_test_output_match
    raise AssertionError(f"Output {j} mismatch") from e
E   AssertionError: Output 0 mismatch
tests\function_libs\torch_lib\ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 1 / 15 (6.7%)
E   Greatest absolute difference: 0.0546875 at index (2, 0) (up to 0.01 allowed)
E   Greatest relative difference: 0.0124359130859375 at index (2, 0) (up to 0.01 allowed)

The above exception was the direct cause of the following exception:
tests\function_libs\torch_lib\ops_test.py:266: in run_test_output_match
    raise AssertionError(f"Output {j} mismatch") from e
E   AssertionError: Output 0 mismatch

Check warning on line 0 in tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU

See this annotation in the file changed.

@github-actions github-actions / Test Results

6 out of 22 runs failed: test_output_match_opinfo__addmv_cpu_float16 (tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU)

artifacts/Test Results (py311-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-windows-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-windows-latest)/pytest.xml [took 0s]
Raw output
AssertionError: Tensor-likes are not close!

Mismatched elements: 1 / 5 (20.0%)
Greatest absolute difference: 0.046875 at index (2,) (up to 0.01 allowed)
Greatest relative difference: 0.002635955810546875 at index (2,) (up to 0.001 allowed)
AssertionError: Tensor-likes are not close!

Mismatched elements: 1 / 5 (20.0%)
Greatest absolute difference: 0.0234375 at index (2,) (up to 0.01 allowed)
Greatest relative difference: 0.0024318695068359375 at index (2,) (up to 0.001 allowed)
tests\function_libs\torch_lib\ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 1 / 5 (20.0%)
E   Greatest absolute difference: 0.046875 at index (2,) (up to 0.01 allowed)
E   Greatest relative difference: 0.002635955810546875 at index (2,) (up to 0.001 allowed)
tests\function_libs\torch_lib\ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 1 / 5 (20.0%)
E   Greatest absolute difference: 0.0234375 at index (2,) (up to 0.01 allowed)
E   Greatest relative difference: 0.0024318695068359375 at index (2,) (up to 0.001 allowed)

Check warning on line 0 in tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU

See this annotation in the file changed.

@github-actions github-actions / Test Results

6 out of 22 runs failed: test_output_match_opinfo__index_put_bool_cpu_int64 (tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU)

artifacts/Test Results (py311-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-windows-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-windows-latest)/pytest.xml [took 0s]
Raw output
AssertionError: Tensor-likes are not equal!

Mismatched elements: 9 / 25 (36.0%)
Greatest absolute difference: 15 at index (1, 0)
Greatest relative difference: 6.0 at index (3, 4)
tests\function_libs\torch_lib\ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 9 / 25 (36.0%)
E   Greatest absolute difference: 15 at index (1, 0)
E   Greatest relative difference: 6.0 at index (3, 4)

Check warning on line 0 in tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU

See this annotation in the file changed.

@github-actions github-actions / Test Results

6 out of 22 runs failed: test_output_match_opinfo__index_put_bool_cpu_int32 (tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU)

artifacts/Test Results (py311-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-windows-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-windows-latest)/pytest.xml [took 0s]
Raw output
AssertionError: Tensor-likes are not equal!

Mismatched elements: 9 / 25 (36.0%)
Greatest absolute difference: 15 at index (1, 0)
Greatest relative difference: 6.0 at index (3, 4)
tests\function_libs\torch_lib\ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 9 / 25 (36.0%)
E   Greatest absolute difference: 15 at index (1, 0)
E   Greatest relative difference: 6.0 at index (3, 4)

Check warning on line 0 in tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU

See this annotation in the file changed.

@github-actions github-actions / Test Results

6 out of 22 runs failed: test_output_match_opinfo__index_put_bool_cpu_float16 (tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU)

artifacts/Test Results (py311-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-windows-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-windows-latest)/pytest.xml [took 0s]
Raw output
AssertionError: Tensor-likes are not close!

Mismatched elements: 10 / 25 (40.0%)
Greatest absolute difference: 13.84375 at index (3, 0) (up to 1e-05 allowed)
Greatest relative difference: 7.5 at index (1, 4) (up to 0.001 allowed)
tests\function_libs\torch_lib\ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 10 / 25 (40.0%)
E   Greatest absolute difference: 13.84375 at index (3, 0) (up to 1e-05 allowed)
E   Greatest relative difference: 7.5 at index (1, 4) (up to 0.001 allowed)

Check warning on line 0 in tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU

See this annotation in the file changed.

@github-actions github-actions / Test Results

6 out of 22 runs failed: test_output_match_opinfo__index_put_bool_cpu_float32 (tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU)

artifacts/Test Results (py311-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-windows-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-windows-latest)/pytest.xml [took 0s]
Raw output
AssertionError: Tensor-likes are not close!

Mismatched elements: 10 / 25 (40.0%)
Greatest absolute difference: 12.9130220413208 at index (1, 1) (up to 1e-05 allowed)
Greatest relative difference: 3.1326284408569336 at index (1, 0) (up to 1.3e-06 allowed)
tests\function_libs\torch_lib\ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 10 / 25 (40.0%)
E   Greatest absolute difference: 12.9130220413208 at index (1, 1) (up to 1e-05 allowed)
E   Greatest relative difference: 3.1326284408569336 at index (1, 0) (up to 1.3e-06 allowed)

Check warning on line 0 in tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU

See this annotation in the file changed.

@github-actions github-actions / Test Results

6 out of 22 runs failed: test_output_match_opinfo__div_mode_floor_rounding_cpu_float16 (tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU)

artifacts/Test Results (py311-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-windows-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-windows-latest)/pytest.xml [took 0s]
Raw output
Failed: Unexpected success
Unexpected success

Check warning on line 0 in tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU

See this annotation in the file changed.

@github-actions github-actions / Test Results

2 out of 22 runs failed: test_output_match_opinfo__topk_cpu_float16 (tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU)

artifacts/Test Results (py311-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
Raw output
AssertionError: Output 1 mismatch
AssertionError: Output 1 mismatch
AssertionError: Output 1 mismatch
AssertionError: Output 1 mismatch
AssertionError: Output 1 mismatch
AssertionError: Output 1 mismatch
tests/function_libs/torch_lib/ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 3 / 75 (4.0%)
E   Greatest absolute difference: 8 at index (4, 2, 0)
E   Greatest relative difference: 3.0 at index (4, 1, 4)

The above exception was the direct cause of the following exception:
tests/function_libs/torch_lib/ops_test.py:266: in run_test_output_match
    raise AssertionError(f"Output {j} mismatch") from e
E   AssertionError: Output 1 mismatch
tests/function_libs/torch_lib/ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 3 / 75 (4.0%)
E   Greatest absolute difference: 8 at index (4, 2, 0)
E   Greatest relative difference: 3.0 at index (4, 1, 4)

The above exception was the direct cause of the following exception:
tests/function_libs/torch_lib/ops_test.py:266: in run_test_output_match
    raise AssertionError(f"Output {j} mismatch") from e
E   AssertionError: Output 1 mismatch
tests/function_libs/torch_lib/ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 3 / 75 (4.0%)
E   Greatest absolute difference: 8 at index (4, 2, 0)
E   Greatest relative difference: 3.0 at index (4, 1, 4)

The above exception was the direct cause of the following exception:
tests/function_libs/torch_lib/ops_test.py:266: in run_test_output_match
    raise AssertionError(f"Output {j} mismatch") from e
E   AssertionError: Output 1 mismatch
tests/function_libs/torch_lib/ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 3 / 75 (4.0%)
E   Greatest absolute difference: 8 at index (4, 2, 0)
E   Greatest relative difference: 3.0 at index (4, 1, 4)

The above exception was the direct cause of the following exception:
tests/function_libs/torch_lib/ops_test.py:266: in run_test_output_match
    raise AssertionError(f"Output {j} mismatch") from e
E   AssertionError: Output 1 mismatch
tests/function_libs/torch_lib/ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 3 / 75 (4.0%)
E   Greatest absolute difference: 8 at index (4, 2, 0)
E   Greatest relative difference: 3.0 at index (4, 1, 4)

The above exception was the direct cause of the following exception:
tests/function_libs/torch_lib/ops_test.py:266: in run_test_output_match
    raise AssertionError(f"Output {j} mismatch") from e
E   AssertionError: Output 1 mismatch
tests/function_libs/torch_lib/ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 3 / 75 (4.0%)
E   Greatest absolute difference: 8 at index (4, 2, 0)
E   Greatest relative difference: 3.0 at index (4, 1, 4)

The above exception was the direct cause of the following exception:
tests/function_libs/torch_lib/ops_test.py:266: in run_test_output_match
    raise AssertionError(f"Output {j} mismatch") from e
E   AssertionError: Output 1 mismatch

Check warning on line 0 in tests.function_libs.torch_lib.ops_test.TestOutputConsistencyFullGraphCPU

See this annotation in the file changed.

@github-actions github-actions / Test Results

6 out of 22 runs failed: test_output_match_opinfo__index_put_bool_cpu_int64 (tests.function_libs.torch_lib.ops_test.TestOutputConsistencyFullGraphCPU)

artifacts/Test Results (py311-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-windows-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-windows-latest)/pytest.xml [took 0s]
Raw output
AssertionError: Tensor-likes are not equal!

Mismatched elements: 9 / 25 (36.0%)
Greatest absolute difference: 15 at index (1, 0)
Greatest relative difference: 6.0 at index (3, 4)
tests\function_libs\torch_lib\ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 9 / 25 (36.0%)
E   Greatest absolute difference: 15 at index (1, 0)
E   Greatest relative difference: 6.0 at index (3, 4)

Check warning on line 0 in tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU

See this annotation in the file changed.

@github-actions github-actions / Test Results

6 out of 22 runs failed: test_output_match_opinfo__var_dim_cpu_float16 (tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU)

artifacts/Test Results (py311-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-windows-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-ubuntu-latest)/pytest.xml [took 1s]
artifacts/Test Results (py312-torch-nightly-windows-latest)/pytest.xml [took 1s]
Raw output
AssertionError: Tensor-likes are not close!

Mismatched elements: 1 / 25 (4.0%)
Greatest absolute difference: 0.0078125 at index (3, 3) (up to 1e-05 allowed)
Greatest relative difference: 0.0010890960693359375 at index (3, 3) (up to 0.001 allowed)
AssertionError: Tensor-likes are not close!

Mismatched elements: 1 / 25 (4.0%)
Greatest absolute difference: 0.0078125 at index (3, 0, 3) (up to 1e-05 allowed)
Greatest relative difference: 0.0010890960693359375 at index (3, 0, 3) (up to 0.001 allowed)
AssertionError: Tensor-likes are not close!

Mismatched elements: 4 / 20 (20.0%)
Greatest absolute difference: 0.0625 at index (2, 0) (up to 1e-05 allowed)
Greatest relative difference: 0.0014753341674804688 at index (0, 1) (up to 0.001 allowed)
tests\function_libs\torch_lib\ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 1 / 25 (4.0%)
E   Greatest absolute difference: 0.0078125 at index (3, 3) (up to 1e-05 allowed)
E   Greatest relative difference: 0.0010890960693359375 at index (3, 3) (up to 0.001 allowed)
tests\function_libs\torch_lib\ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 1 / 25 (4.0%)
E   Greatest absolute difference: 0.0078125 at index (3, 0, 3) (up to 1e-05 allowed)
E   Greatest relative difference: 0.0010890960693359375 at index (3, 0, 3) (up to 0.001 allowed)
tests\function_libs\torch_lib\ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 4 / 20 (20.0%)
E   Greatest absolute difference: 0.0625 at index (2, 0) (up to 1e-05 allowed)
E   Greatest relative difference: 0.0014753341674804688 at index (0, 1) (up to 0.001 allowed)

Check warning on line 0 in tests.function_libs.torch_lib.ops_test.TestOutputConsistencyFullGraphCPU

See this annotation in the file changed.

@github-actions github-actions / Test Results

6 out of 22 runs failed: test_output_match_opinfo__clamp_cpu_float32 (tests.function_libs.torch_lib.ops_test.TestOutputConsistencyFullGraphCPU)

artifacts/Test Results (py311-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-ubuntu-latest)/pytest.xml [took 1s]
artifacts/Test Results (py311-torch-nightly-windows-latest)/pytest.xml [took 1s]
artifacts/Test Results (py312-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-ubuntu-latest)/pytest.xml [took 1s]
artifacts/Test Results (py312-torch-nightly-windows-latest)/pytest.xml [took 1s]
Raw output
TypeError: Unsupported attribute type '<class 'torch._C._onnx.TensorProtoDataType'>' for attribute 'to'
TypeError: Unsupported attribute type '<class 'torch._C._onnx.TensorProtoDataType'>' for attribute 'to'
tests\function_libs\torch_lib\ops_test.py:215: in run_test_output_match
    function_output = function_executor(test_name, reference_torch_outputs)(
tests\function_libs\torch_lib\ops_test_common.py:515: in _capture_graph_and_evaluate_torch_script_evaluator
    symbolic_outputs = function(*onnxscript_args, **onnxscript_kwargs)
onnxscript\values.py:583: in __call__
    return self.func(*args, **kwargs)
onnxscript\function_libs\torch_lib\ops\core.py:1648: in aten_clamp
    min_clamp = op.CastLike(min, self)
onnxscript\onnx_opset\_impl\opset15.py:257: in CastLike
    return op(*self._prepare_inputs(schema, input, target_type))
onnxscript\values.py:301: in __call__
    return evaluator.default().eval(schema, args, kwargs)
onnxscript\function_libs\torch_lib\graph_building\_graph_building_torch.py:341: in eval
    return self._graph.add_op_call(
<@beartype(onnxscript.function_libs.torch_lib.graph_building._graph_building_torch.TorchScriptGraph.add_op_call) at 0x290f682dd00>:111: in add_op_call
    ???
onnxscript\function_libs\torch_lib\graph_building\_graph_building_torch.py:878: in add_op_call
    result = self._add_torchscript_op_call(
<@beartype(onnxscript.function_libs.torch_lib.graph_building._graph_building_torch.TorchScriptGraph._add_torchscript_op_call) at 0x290f682d800>:129: in _add_torchscript_op_call
    ???
onnxscript\function_libs\torch_lib\graph_building\_graph_building_torch.py:758: in _add_torchscript_op_call
    result = _create_op_call_in_torch_graph(
<@beartype(onnxscript.function_libs.torch_lib.graph_building._graph_building_torch._create_op_call_in_torch_graph) at 0x290f682cb80>:113: in _create_op_call_in_torch_graph
    ???
onnxscript\function_libs\torch_lib\graph_building\_graph_building_torch.py:498: in _create_op_call_in_torch_graph
    _add_attribute_to_torchscript_node(node, key, value)
onnxscript\function_libs\torch_lib\graph_building\_graph_building_torch.py:463: in _add_attribute_to_torchscript_node
    raise TypeError(f"Unsupported attribute type '{type(value)}' for attribute '{key}'")
E   TypeError: Unsupported attribute type '<class 'torch._C._onnx.TensorProtoDataType'>' for attribute 'to'
tests\function_libs\torch_lib\ops_test.py:215: in run_test_output_match
    function_output = function_executor(test_name, reference_torch_outputs)(
tests\function_libs\torch_lib\ops_test_common.py:515: in _capture_graph_and_evaluate_torch_script_evaluator
    symbolic_outputs = function(*onnxscript_args, **onnxscript_kwargs)
onnxscript\values.py:583: in __call__
    return self.func(*args, **kwargs)
onnxscript\function_libs\torch_lib\ops\core.py:1652: in aten_clamp
    max_clamp = op.CastLike(max, self)
onnxscript\onnx_opset\_impl\opset15.py:257: in CastLike
    return op(*self._prepare_inputs(schema, input, target_type))
onnxscript\values.py:301: in __call__
    return evaluator.default().eval(schema, args, kwargs)
onnxscript\function_libs\torch_lib\graph_building\_graph_building_torch.py:341: in eval
    return self._graph.add_op_call(
<@beartype(onnxscript.function_libs.torch_lib.graph_building._graph_building_torch.TorchScriptGraph.add_op_call) at 0x290f682dd00>:111: in add_op_call
    ???
onnxscript\function_libs\torch_lib\graph_building\_graph_building_torch.py:878: in add_op_call
    result = self._add_torchscript_op_call(
<@beartype(onnxscript.function_libs.torch_lib.graph_building._graph_building_torch.TorchScriptGraph._add_torchscript_op_call) at 0x290f682d800>:129: in _add_torchscript_op_call
    ???
onnxscript\function_libs\torch_lib\graph_building\_graph_building_torch.py:758: in _add_torchscript_op_call
    result = _create_op_call_in_torch_graph(
<@beartype(onnxscript.function_libs.torch_lib.graph_building._graph_building_torch._create_op_call_in_torch_graph) at 0x290f682cb80>:113: in _create_op_call_in_torch_graph
    ???
onnxscript\function_libs\torch_lib\graph_building\_graph_building_torch.py:498: in _create_op_call_in_torch_graph
    _add_attribute_to_torchscript_node(node, key, value)
onnxscript\function_libs\torch_lib\graph_building\_graph_building_torch.py:463: in _add_attribute_to_torchscript_node
    raise TypeError(f"Unsupported attribute type '{type(value)}' for attribute '{key}'")
E   TypeError: Unsupported attribute type '<class 'torch._C._onnx.TensorProtoDataType'>' for attribute 'to'

Check warning on line 0 in tests.function_libs.torch_lib.ops_test.TestOutputConsistencyFullGraphCPU

See this annotation in the file changed.

@github-actions github-actions / Test Results

6 out of 22 runs failed: test_output_match_opinfo__clamp_cpu_int64 (tests.function_libs.torch_lib.ops_test.TestOutputConsistencyFullGraphCPU)

artifacts/Test Results (py311-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-ubuntu-latest)/pytest.xml [took 1s]
artifacts/Test Results (py311-torch-nightly-windows-latest)/pytest.xml [took 1s]
artifacts/Test Results (py312-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-ubuntu-latest)/pytest.xml [took 1s]
artifacts/Test Results (py312-torch-nightly-windows-latest)/pytest.xml [took 1s]
Raw output
TypeError: Unsupported attribute type '<class 'torch._C._onnx.TensorProtoDataType'>' for attribute 'to'
TypeError: Unsupported attribute type '<class 'torch._C._onnx.TensorProtoDataType'>' for attribute 'to'
tests\function_libs\torch_lib\ops_test.py:215: in run_test_output_match
    function_output = function_executor(test_name, reference_torch_outputs)(
tests\function_libs\torch_lib\ops_test_common.py:515: in _capture_graph_and_evaluate_torch_script_evaluator
    symbolic_outputs = function(*onnxscript_args, **onnxscript_kwargs)
onnxscript\values.py:583: in __call__
    return self.func(*args, **kwargs)
onnxscript\function_libs\torch_lib\ops\core.py:1648: in aten_clamp
    min_clamp = op.CastLike(min, self)
onnxscript\onnx_opset\_impl\opset15.py:257: in CastLike
    return op(*self._prepare_inputs(schema, input, target_type))
onnxscript\values.py:301: in __call__
    return evaluator.default().eval(schema, args, kwargs)
onnxscript\function_libs\torch_lib\graph_building\_graph_building_torch.py:341: in eval
    return self._graph.add_op_call(
<@beartype(onnxscript.function_libs.torch_lib.graph_building._graph_building_torch.TorchScriptGraph.add_op_call) at 0x27a7874dd00>:111: in add_op_call
    ???
onnxscript\function_libs\torch_lib\graph_building\_graph_building_torch.py:878: in add_op_call
    result = self._add_torchscript_op_call(
<@beartype(onnxscript.function_libs.torch_lib.graph_building._graph_building_torch.TorchScriptGraph._add_torchscript_op_call) at 0x27a7874d800>:129: in _add_torchscript_op_call
    ???
onnxscript\function_libs\torch_lib\graph_building\_graph_building_torch.py:758: in _add_torchscript_op_call
    result = _create_op_call_in_torch_graph(
<@beartype(onnxscript.function_libs.torch_lib.graph_building._graph_building_torch._create_op_call_in_torch_graph) at 0x27a78711940>:113: in _create_op_call_in_torch_graph
    ???
onnxscript\function_libs\torch_lib\graph_building\_graph_building_torch.py:498: in _create_op_call_in_torch_graph
    _add_attribute_to_torchscript_node(node, key, value)
onnxscript\function_libs\torch_lib\graph_building\_graph_building_torch.py:463: in _add_attribute_to_torchscript_node
    raise TypeError(f"Unsupported attribute type '{type(value)}' for attribute '{key}'")
E   TypeError: Unsupported attribute type '<class 'torch._C._onnx.TensorProtoDataType'>' for attribute 'to'
tests\function_libs\torch_lib\ops_test.py:215: in run_test_output_match
    function_output = function_executor(test_name, reference_torch_outputs)(
tests\function_libs\torch_lib\ops_test_common.py:515: in _capture_graph_and_evaluate_torch_script_evaluator
    symbolic_outputs = function(*onnxscript_args, **onnxscript_kwargs)
onnxscript\values.py:583: in __call__
    return self.func(*args, **kwargs)
onnxscript\function_libs\torch_lib\ops\core.py:1652: in aten_clamp
    max_clamp = op.CastLike(max, self)
onnxscript\onnx_opset\_impl\opset15.py:257: in CastLike
    return op(*self._prepare_inputs(schema, input, target_type))
onnxscript\values.py:301: in __call__
    return evaluator.default().eval(schema, args, kwargs)
onnxscript\function_libs\torch_lib\graph_building\_graph_building_torch.py:341: in eval
    return self._graph.add_op_call(
<@beartype(onnxscript.function_libs.torch_lib.graph_building._graph_building_torch.TorchScriptGraph.add_op_call) at 0x27a7874dd00>:111: in add_op_call
    ???
onnxscript\function_libs\torch_lib\graph_building\_graph_building_torch.py:878: in add_op_call
    result = self._add_torchscript_op_call(
<@beartype(onnxscript.function_libs.torch_lib.graph_building._graph_building_torch.TorchScriptGraph._add_torchscript_op_call) at 0x27a7874d800>:129: in _add_torchscript_op_call
    ???
onnxscript\function_libs\torch_lib\graph_building\_graph_building_torch.py:758: in _add_torchscript_op_call
    result = _create_op_call_in_torch_graph(
<@beartype(onnxscript.function_libs.torch_lib.graph_building._graph_building_torch._create_op_call_in_torch_graph) at 0x27a78711940>:113: in _create_op_call_in_torch_graph
    ???
onnxscript\function_libs\torch_lib\graph_building\_graph_building_torch.py:498: in _create_op_call_in_torch_graph
    _add_attribute_to_torchscript_node(node, key, value)
onnxscript\function_libs\torch_lib\graph_building\_graph_building_torch.py:463: in _add_attribute_to_torchscript_node
    raise TypeError(f"Unsupported attribute type '{type(value)}' for attribute '{key}'")
E   TypeError: Unsupported attribute type '<class 'torch._C._onnx.TensorProtoDataType'>' for attribute 'to'

Check warning on line 0 in tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU

See this annotation in the file changed.

@github-actions github-actions / Test Results

6 out of 22 runs failed: test_output_match_opinfo__var_mean_dim_cpu_float16 (tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU)

artifacts/Test Results (py311-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-windows-latest)/pytest.xml [took 1s]
artifacts/Test Results (py312-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-windows-latest)/pytest.xml [took 1s]
Raw output
AssertionError: Output 0 mismatch
AssertionError: Output 0 mismatch
AssertionError: Output 0 mismatch
tests\function_libs\torch_lib\ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 1 / 25 (4.0%)
E   Greatest absolute difference: 0.0078125 at index (3, 3) (up to 1e-05 allowed)
E   Greatest relative difference: 0.0010890960693359375 at index (3, 3) (up to 0.001 allowed)

The above exception was the direct cause of the following exception:
tests\function_libs\torch_lib\ops_test.py:266: in run_test_output_match
    raise AssertionError(f"Output {j} mismatch") from e
E   AssertionError: Output 0 mismatch
tests\function_libs\torch_lib\ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 1 / 25 (4.0%)
E   Greatest absolute difference: 0.0078125 at index (3, 0, 3) (up to 1e-05 allowed)
E   Greatest relative difference: 0.0010890960693359375 at index (3, 0, 3) (up to 0.001 allowed)

The above exception was the direct cause of the following exception:
tests\function_libs\torch_lib\ops_test.py:266: in run_test_output_match
    raise AssertionError(f"Output {j} mismatch") from e
E   AssertionError: Output 0 mismatch
tests\function_libs\torch_lib\ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 4 / 20 (20.0%)
E   Greatest absolute difference: 0.0625 at index (2, 0) (up to 1e-05 allowed)
E   Greatest relative difference: 0.0014753341674804688 at index (0, 1) (up to 0.001 allowed)

The above exception was the direct cause of the following exception:
tests\function_libs\torch_lib\ops_test.py:266: in run_test_output_match
    raise AssertionError(f"Output {j} mismatch") from e
E   AssertionError: Output 0 mismatch

Check warning on line 0 in tests.function_libs.torch_lib.ops_test.TestOutputConsistencyFullGraphCPU

See this annotation in the file changed.

@github-actions github-actions / Test Results

6 out of 22 runs failed: test_output_match_opinfo__sub_cpu_float16 (tests.function_libs.torch_lib.ops_test.TestOutputConsistencyFullGraphCPU)

artifacts/Test Results (py311-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-windows-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-windows-latest)/pytest.xml [took 0s]
Raw output
AssertionError: Tensor-likes are not close!

Mismatched elements: 2 / 25 (8.0%)
Greatest absolute difference: 0.001953125 at index (3, 3) (up to 1e-05 allowed)
Greatest relative difference: 0.0028400421142578125 at index (3, 3) (up to 0.001 allowed)
tests\function_libs\torch_lib\ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 2 / 25 (8.0%)
E   Greatest absolute difference: 0.001953125 at index (3, 3) (up to 1e-05 allowed)
E   Greatest relative difference: 0.0028400421142578125 at index (3, 3) (up to 0.001 allowed)

Check warning on line 0 in tests.function_libs.torch_lib.ops_test.TestOutputConsistencyFullGraphCPU

See this annotation in the file changed.

@github-actions github-actions / Test Results

6 out of 22 runs failed: test_output_match_opinfo__addmv_cpu_float16 (tests.function_libs.torch_lib.ops_test.TestOutputConsistencyFullGraphCPU)

artifacts/Test Results (py311-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-windows-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-windows-latest)/pytest.xml [took 0s]
Raw output
AssertionError: Tensor-likes are not close!

Mismatched elements: 1 / 5 (20.0%)
Greatest absolute difference: 0.046875 at index (2,) (up to 0.01 allowed)
Greatest relative difference: 0.002635955810546875 at index (2,) (up to 0.001 allowed)
AssertionError: Tensor-likes are not close!

Mismatched elements: 1 / 5 (20.0%)
Greatest absolute difference: 0.0234375 at index (2,) (up to 0.01 allowed)
Greatest relative difference: 0.0024318695068359375 at index (2,) (up to 0.001 allowed)
tests\function_libs\torch_lib\ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 1 / 5 (20.0%)
E   Greatest absolute difference: 0.046875 at index (2,) (up to 0.01 allowed)
E   Greatest relative difference: 0.002635955810546875 at index (2,) (up to 0.001 allowed)
tests\function_libs\torch_lib\ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 1 / 5 (20.0%)
E   Greatest absolute difference: 0.0234375 at index (2,) (up to 0.01 allowed)
E   Greatest relative difference: 0.0024318695068359375 at index (2,) (up to 0.001 allowed)

Check warning on line 0 in tests.function_libs.torch_lib.ops_test.TestOutputConsistencyFullGraphCPU

See this annotation in the file changed.

@github-actions github-actions / Test Results

6 out of 22 runs failed: test_output_match_opinfo__rsub_cpu_float16 (tests.function_libs.torch_lib.ops_test.TestOutputConsistencyFullGraphCPU)

artifacts/Test Results (py311-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-windows-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-windows-latest)/pytest.xml [took 0s]
Raw output
AssertionError: Tensor-likes are not close!

Mismatched elements: 2 / 25 (8.0%)
Greatest absolute difference: 0.00390625 at index (0, 2) (up to 1e-05 allowed)
Greatest relative difference: 0.0017986297607421875 at index (0, 4) (up to 0.001 allowed)
tests\function_libs\torch_lib\ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 2 / 25 (8.0%)
E   Greatest absolute difference: 0.00390625 at index (0, 2) (up to 1e-05 allowed)
E   Greatest relative difference: 0.0017986297607421875 at index (0, 4) (up to 0.001 allowed)

Check warning on line 0 in tests.function_libs.torch_lib.ops_test.TestOutputConsistencyFullGraphCPU

See this annotation in the file changed.

@github-actions github-actions / Test Results

4 out of 22 runs failed: test_output_match_opinfo__matmul_cpu_float16 (tests.function_libs.torch_lib.ops_test.TestOutputConsistencyFullGraphCPU)

artifacts/Test Results (py311-torch-nightly-ubuntu-latest)/pytest.xml [took 1s]
artifacts/Test Results (py311-torch-nightly-windows-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-ubuntu-latest)/pytest.xml [took 1s]
artifacts/Test Results (py312-torch-nightly-windows-latest)/pytest.xml [took 0s]
Raw output
AssertionError: Tensor-likes are not close!

Mismatched elements: 1 / 25 (4.0%)
Greatest absolute difference: 0.03515625 at index (4, 4) (up to 0.02 allowed)
Greatest relative difference: 0.0084075927734375 at index (4, 4) (up to 0.002 allowed)
AssertionError: Tensor-likes are not close!

Mismatched elements: 2 / 250 (0.8%)
Greatest absolute difference: 0.029296875 at index (0, 1, 7) (up to 0.02 allowed)
Greatest relative difference: 0.019683837890625 at index (4, 0, 7) (up to 0.002 allowed)
tests\function_libs\torch_lib\ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 1 / 25 (4.0%)
E   Greatest absolute difference: 0.03515625 at index (4, 4) (up to 0.02 allowed)
E   Greatest relative difference: 0.0084075927734375 at index (4, 4) (up to 0.002 allowed)
tests\function_libs\torch_lib\ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 2 / 250 (0.8%)
E   Greatest absolute difference: 0.029296875 at index (0, 1, 7) (up to 0.02 allowed)
E   Greatest relative difference: 0.019683837890625 at index (4, 0, 7) (up to 0.002 allowed)

Check warning on line 0 in tests.function_libs.torch_lib.ops_test.TestOutputConsistencyFullGraphCPU

See this annotation in the file changed.

@github-actions github-actions / Test Results

2 out of 22 runs failed: test_output_match_opinfo__topk_cpu_float16 (tests.function_libs.torch_lib.ops_test.TestOutputConsistencyFullGraphCPU)

artifacts/Test Results (py311-torch-nightly-ubuntu-latest)/pytest.xml [took 1s]
artifacts/Test Results (py312-torch-nightly-ubuntu-latest)/pytest.xml [took 1s]
Raw output
AssertionError: Output 1 mismatch
AssertionError: Output 1 mismatch
AssertionError: Output 1 mismatch
AssertionError: Output 1 mismatch
AssertionError: Output 1 mismatch
AssertionError: Output 1 mismatch
tests/function_libs/torch_lib/ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 3 / 75 (4.0%)
E   Greatest absolute difference: 8 at index (4, 2, 0)
E   Greatest relative difference: 3.0 at index (4, 1, 4)

The above exception was the direct cause of the following exception:
tests/function_libs/torch_lib/ops_test.py:266: in run_test_output_match
    raise AssertionError(f"Output {j} mismatch") from e
E   AssertionError: Output 1 mismatch
tests/function_libs/torch_lib/ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 3 / 75 (4.0%)
E   Greatest absolute difference: 8 at index (4, 2, 0)
E   Greatest relative difference: 3.0 at index (4, 1, 4)

The above exception was the direct cause of the following exception:
tests/function_libs/torch_lib/ops_test.py:266: in run_test_output_match
    raise AssertionError(f"Output {j} mismatch") from e
E   AssertionError: Output 1 mismatch
tests/function_libs/torch_lib/ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 3 / 75 (4.0%)
E   Greatest absolute difference: 8 at index (4, 2, 0)
E   Greatest relative difference: 3.0 at index (4, 1, 4)

The above exception was the direct cause of the following exception:
tests/function_libs/torch_lib/ops_test.py:266: in run_test_output_match
    raise AssertionError(f"Output {j} mismatch") from e
E   AssertionError: Output 1 mismatch
tests/function_libs/torch_lib/ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 3 / 75 (4.0%)
E   Greatest absolute difference: 8 at index (4, 2, 0)
E   Greatest relative difference: 3.0 at index (4, 1, 4)

The above exception was the direct cause of the following exception:
tests/function_libs/torch_lib/ops_test.py:266: in run_test_output_match
    raise AssertionError(f"Output {j} mismatch") from e
E   AssertionError: Output 1 mismatch
tests/function_libs/torch_lib/ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 3 / 75 (4.0%)
E   Greatest absolute difference: 8 at index (4, 2, 0)
E   Greatest relative difference: 3.0 at index (4, 1, 4)

The above exception was the direct cause of the following exception:
tests/function_libs/torch_lib/ops_test.py:266: in run_test_output_match
    raise AssertionError(f"Output {j} mismatch") from e
E   AssertionError: Output 1 mismatch
tests/function_libs/torch_lib/ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 3 / 75 (4.0%)
E   Greatest absolute difference: 8 at index (4, 2, 0)
E   Greatest relative difference: 3.0 at index (4, 1, 4)

The above exception was the direct cause of the following exception:
tests/function_libs/torch_lib/ops_test.py:266: in run_test_output_match
    raise AssertionError(f"Output {j} mismatch") from e
E   AssertionError: Output 1 mismatch

Check warning on line 0 in tests.function_libs.torch_lib.ops_test.TestOutputConsistencyFullGraphCPU

See this annotation in the file changed.

@github-actions github-actions / Test Results

6 out of 22 runs failed: test_output_match_opinfo__clamp_cpu_float16 (tests.function_libs.torch_lib.ops_test.TestOutputConsistencyFullGraphCPU)

artifacts/Test Results (py311-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-ubuntu-latest)/pytest.xml [took 1s]
artifacts/Test Results (py311-torch-nightly-windows-latest)/pytest.xml [took 1s]
artifacts/Test Results (py312-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-ubuntu-latest)/pytest.xml [took 1s]
artifacts/Test Results (py312-torch-nightly-windows-latest)/pytest.xml [took 1s]
Raw output
TypeError: Unsupported attribute type '<class 'torch._C._onnx.TensorProtoDataType'>' for attribute 'to'
TypeError: Unsupported attribute type '<class 'torch._C._onnx.TensorProtoDataType'>' for attribute 'to'
tests\function_libs\torch_lib\ops_test.py:215: in run_test_output_match
    function_output = function_executor(test_name, reference_torch_outputs)(
tests\function_libs\torch_lib\ops_test_common.py:515: in _capture_graph_and_evaluate_torch_script_evaluator
    symbolic_outputs = function(*onnxscript_args, **onnxscript_kwargs)
onnxscript\values.py:583: in __call__
    return self.func(*args, **kwargs)
onnxscript\function_libs\torch_lib\ops\core.py:1648: in aten_clamp
    min_clamp = op.CastLike(min, self)
onnxscript\onnx_opset\_impl\opset15.py:257: in CastLike
    return op(*self._prepare_inputs(schema, input, target_type))
onnxscript\values.py:301: in __call__
    return evaluator.default().eval(schema, args, kwargs)
onnxscript\function_libs\torch_lib\graph_building\_graph_building_torch.py:341: in eval
    return self._graph.add_op_call(
<@beartype(onnxscript.function_libs.torch_lib.graph_building._graph_building_torch.TorchScriptGraph.add_op_call) at 0x27a7874dd00>:111: in add_op_call
    ???
onnxscript\function_libs\torch_lib\graph_building\_graph_building_torch.py:878: in add_op_call
    result = self._add_torchscript_op_call(
<@beartype(onnxscript.function_libs.torch_lib.graph_building._graph_building_torch.TorchScriptGraph._add_torchscript_op_call) at 0x27a7874d800>:129: in _add_torchscript_op_call
    ???
onnxscript\function_libs\torch_lib\graph_building\_graph_building_torch.py:758: in _add_torchscript_op_call
    result = _create_op_call_in_torch_graph(
<@beartype(onnxscript.function_libs.torch_lib.graph_building._graph_building_torch._create_op_call_in_torch_graph) at 0x27a78711940>:113: in _create_op_call_in_torch_graph
    ???
onnxscript\function_libs\torch_lib\graph_building\_graph_building_torch.py:498: in _create_op_call_in_torch_graph
    _add_attribute_to_torchscript_node(node, key, value)
onnxscript\function_libs\torch_lib\graph_building\_graph_building_torch.py:463: in _add_attribute_to_torchscript_node
    raise TypeError(f"Unsupported attribute type '{type(value)}' for attribute '{key}'")
E   TypeError: Unsupported attribute type '<class 'torch._C._onnx.TensorProtoDataType'>' for attribute 'to'
tests\function_libs\torch_lib\ops_test.py:215: in run_test_output_match
    function_output = function_executor(test_name, reference_torch_outputs)(
tests\function_libs\torch_lib\ops_test_common.py:515: in _capture_graph_and_evaluate_torch_script_evaluator
    symbolic_outputs = function(*onnxscript_args, **onnxscript_kwargs)
onnxscript\values.py:583: in __call__
    return self.func(*args, **kwargs)
onnxscript\function_libs\torch_lib\ops\core.py:1652: in aten_clamp
    max_clamp = op.CastLike(max, self)
onnxscript\onnx_opset\_impl\opset15.py:257: in CastLike
    return op(*self._prepare_inputs(schema, input, target_type))
onnxscript\values.py:301: in __call__
    return evaluator.default().eval(schema, args, kwargs)
onnxscript\function_libs\torch_lib\graph_building\_graph_building_torch.py:341: in eval
    return self._graph.add_op_call(
<@beartype(onnxscript.function_libs.torch_lib.graph_building._graph_building_torch.TorchScriptGraph.add_op_call) at 0x27a7874dd00>:111: in add_op_call
    ???
onnxscript\function_libs\torch_lib\graph_building\_graph_building_torch.py:878: in add_op_call
    result = self._add_torchscript_op_call(
<@beartype(onnxscript.function_libs.torch_lib.graph_building._graph_building_torch.TorchScriptGraph._add_torchscript_op_call) at 0x27a7874d800>:129: in _add_torchscript_op_call
    ???
onnxscript\function_libs\torch_lib\graph_building\_graph_building_torch.py:758: in _add_torchscript_op_call
    result = _create_op_call_in_torch_graph(
<@beartype(onnxscript.function_libs.torch_lib.graph_building._graph_building_torch._create_op_call_in_torch_graph) at 0x27a78711940>:113: in _create_op_call_in_torch_graph
    ???
onnxscript\function_libs\torch_lib\graph_building\_graph_building_torch.py:498: in _create_op_call_in_torch_graph
    _add_attribute_to_torchscript_node(node, key, value)
onnxscript\function_libs\torch_lib\graph_building\_graph_building_torch.py:463: in _add_attribute_to_torchscript_node
    raise TypeError(f"Unsupported attribute type '{type(value)}' for attribute '{key}'")
E   TypeError: Unsupported attribute type '<class 'torch._C._onnx.TensorProtoDataType'>' for attribute 'to'

Check warning on line 0 in tests.function_libs.torch_lib.ops_test.TestOutputConsistencyFullGraphCPU

See this annotation in the file changed.

@github-actions github-actions / Test Results

1 out of 22 runs failed: test_output_match_opinfo__nn_functional_linear_cpu_float32 (tests.function_libs.torch_lib.ops_test.TestOutputConsistencyFullGraphCPU)

artifacts/Test Results (py310-ubuntu-latest)/pytest.xml [took 31s]
Raw output
EOFError
tests/function_libs/torch_lib/ops_test.py:215: in run_test_output_match
    function_output = function_executor(test_name, reference_torch_outputs)(
tests/function_libs/torch_lib/ops_test_common.py:551: in _capture_graph_and_evaluate_torch_script_evaluator
    return _safe_ort_session_run(onnx_model.SerializeToString(), ort_inputs)
tests/function_libs/torch_lib/ops_test_common.py:357: in _safe_ort_session_run
    manager = multiprocessing.Manager()
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/multiprocessing/context.py:57: in Manager
    m.start()
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/multiprocessing/managers.py:566: in start
    self._address = reader.recv()
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/multiprocessing/connection.py:250: in recv
    buf = self._recv_bytes()
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/multiprocessing/connection.py:414: in _recv_bytes
    buf = self._recv(4)
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/multiprocessing/connection.py:383: in _recv
    raise EOFError
E   EOFError

Check warning on line 0 in tests.function_libs.torch_lib.ops_test.TestOutputConsistencyFullGraphCPU

See this annotation in the file changed.

@github-actions github-actions / Test Results

6 out of 22 runs failed: test_output_match_opinfo__index_put_bool_cpu_float32 (tests.function_libs.torch_lib.ops_test.TestOutputConsistencyFullGraphCPU)

artifacts/Test Results (py311-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-windows-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-windows-latest)/pytest.xml [took 0s]
Raw output
AssertionError: Tensor-likes are not close!

Mismatched elements: 10 / 25 (40.0%)
Greatest absolute difference: 12.9130220413208 at index (1, 1) (up to 1e-05 allowed)
Greatest relative difference: 3.1326284408569336 at index (1, 0) (up to 1.3e-06 allowed)
tests\function_libs\torch_lib\ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 10 / 25 (40.0%)
E   Greatest absolute difference: 12.9130220413208 at index (1, 1) (up to 1e-05 allowed)
E   Greatest relative difference: 3.1326284408569336 at index (1, 0) (up to 1.3e-06 allowed)