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chore(deps): bump ruff from 0.0.291 to 0.0.292 in /requirements/lintrunner #4698

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chore(deps): bump ruff from 0.0.291 to 0.0.292 in /requirements/lintrunner

chore(deps): bump ruff from 0.0.291 to 0.0.292 in /requirements/lintrunner #4698

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GitHub Actions / Test Results failed Oct 2, 2023 in 0s

17 fail, 2 723 skipped, 8 222 pass in 1h 12m 30s

         18 files  ±    0         18 suites  ±0   1h 12m 30s ⏱️ - 3m 49s
  10 962 tests +146    8 222 ✔️ +29      2 723 💤 +117       17 ❌ ±0 
154 821 runs  +198  34 880 ✔️  - 18  118 492 💤 +216  1 449 ❌ ±0 

Results for commit a5b2607. ± Comparison against earlier commit cb24807.

Annotations

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

See this annotation in the file changed.

@github-actions github-actions / Test Results

All 3 runs failed: test_output_match_opinfo__baddbmm_cpu_float16 (onnxscript.tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU) 

artifacts/Test Results (py310-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py310-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py310-torch-nightly-windows-latest)/pytest.xml [took 0s]
Raw output 
AssertionError: Tensor-likes are not close!

Mismatched elements: 2 / 250 (0.8%)
Greatest absolute difference: 0.001953125 at index (0, 3, 0) (up to 1e-05 allowed)
Greatest relative difference: 0.006011962890625 at index (3, 4, 2) (up to 0.001 allowed)
AssertionError: Tensor-likes are not close!

Mismatched elements: 2 / 250 (0.8%)
Greatest absolute difference: 0.001953125 at index (1, 0, 5) (up to 1e-05 allowed)
Greatest relative difference: 0.0017490386962890625 at index (3, 0, 0) (up to 0.001 allowed)
AssertionError: Tensor-likes are not close!

Mismatched elements: 3 / 250 (1.2%)
Greatest absolute difference: 0.03125 at index (1, 2, 1) (up to 1e-05 allowed)
Greatest relative difference: 0.0034923553466796875 at index (0, 0, 5) (up to 0.001 allowed)
AssertionError: Tensor-likes are not close!

Mismatched elements: 3 / 250 (1.2%)
Greatest absolute difference: 0.001953125 at index (0, 1, 9) (up to 1e-05 allowed)
Greatest relative difference: 0.01074981689453125 at index (2, 0, 5) (up to 0.001 allowed)
AssertionError: Tensor-likes are not close!

Mismatched elements: 1 / 250 (0.4%)
Greatest absolute difference: 0.015625 at index (3, 1, 8) (up to 1e-05 allowed)
Greatest relative difference: 0.001049041748046875 at index (3, 1, 8) (up to 0.001 allowed)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: 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: 0.001953125 at index (0, 3, 0) (up to 1e-05 allowed)
E   Greatest relative difference: 0.006011962890625 at index (3, 4, 2) (up to 0.001 allowed)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: 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: 0.001953125 at index (1, 0, 5) (up to 1e-05 allowed)
E   Greatest relative difference: 0.0017490386962890625 at index (3, 0, 0) (up to 0.001 allowed)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 3 / 250 (1.2%)
E   Greatest absolute difference: 0.03125 at index (1, 2, 1) (up to 1e-05 allowed)
E   Greatest relative difference: 0.0034923553466796875 at index (0, 0, 5) (up to 0.001 allowed)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 3 / 250 (1.2%)
E   Greatest absolute difference: 0.001953125 at index (0, 1, 9) (up to 1e-05 allowed)
E   Greatest relative difference: 0.01074981689453125 at index (2, 0, 5) (up to 0.001 allowed)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 1 / 250 (0.4%)
E   Greatest absolute difference: 0.015625 at index (3, 1, 8) (up to 1e-05 allowed)
E   Greatest relative difference: 0.001049041748046875 at index (3, 1, 8) (up to 0.001 allowed)

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

See this annotation in the file changed.

@github-actions github-actions / Test Results

All 3 runs failed: test_output_match_opinfo__addbmm_cpu_float16 (onnxscript.tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU) 

artifacts/Test Results (py310-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py310-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py310-torch-nightly-windows-latest)/pytest.xml [took 0s]
Raw output 
AssertionError: Tensor-likes are not close!

Mismatched elements: 15 / 50 (30.0%)
Greatest absolute difference: 0.125 at index (1, 8) (up to 1e-05 allowed)
Greatest relative difference: 0.013641357421875 at index (4, 1) (up to 0.001 allowed)
AssertionError: Tensor-likes are not close!

Mismatched elements: 9 / 50 (18.0%)
Greatest absolute difference: 0.125 at index (1, 4) (up to 1e-05 allowed)
Greatest relative difference: 0.038482666015625 at index (1, 2) (up to 0.001 allowed)
AssertionError: Tensor-likes are not close!

Mismatched elements: 10 / 50 (20.0%)
Greatest absolute difference: 0.03125 at index (1, 5) (up to 1e-05 allowed)
Greatest relative difference: 0.0104827880859375 at index (0, 8) (up to 0.001 allowed)
AssertionError: Tensor-likes are not close!

Mismatched elements: 10 / 50 (20.0%)
Greatest absolute difference: 0.0234375 at index (4, 2) (up to 1e-05 allowed)
Greatest relative difference: 0.02459716796875 at index (1, 2) (up to 0.001 allowed)
AssertionError: Tensor-likes are not close!

Mismatched elements: 13 / 50 (26.0%)
Greatest absolute difference: 0.125 at index (2, 6) (up to 1e-05 allowed)
Greatest relative difference: 0.0292816162109375 at index (4, 7) (up to 0.001 allowed)
AssertionError: Tensor-likes are not close!

Mismatched elements: 12 / 50 (24.0%)
Greatest absolute difference: 0.01171875 at index (1, 1) (up to 1e-05 allowed)
Greatest relative difference: 0.041351318359375 at index (0, 7) (up to 0.001 allowed)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 15 / 50 (30.0%)
E   Greatest absolute difference: 0.125 at index (1, 8) (up to 1e-05 allowed)
E   Greatest relative difference: 0.013641357421875 at index (4, 1) (up to 0.001 allowed)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 9 / 50 (18.0%)
E   Greatest absolute difference: 0.125 at index (1, 4) (up to 1e-05 allowed)
E   Greatest relative difference: 0.038482666015625 at index (1, 2) (up to 0.001 allowed)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 10 / 50 (20.0%)
E   Greatest absolute difference: 0.03125 at index (1, 5) (up to 1e-05 allowed)
E   Greatest relative difference: 0.0104827880859375 at index (0, 8) (up to 0.001 allowed)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 10 / 50 (20.0%)
E   Greatest absolute difference: 0.0234375 at index (4, 2) (up to 1e-05 allowed)
E   Greatest relative difference: 0.02459716796875 at index (1, 2) (up to 0.001 allowed)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 13 / 50 (26.0%)
E   Greatest absolute difference: 0.125 at index (2, 6) (up to 1e-05 allowed)
E   Greatest relative difference: 0.0292816162109375 at index (4, 7) (up to 0.001 allowed)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 12 / 50 (24.0%)
E   Greatest absolute difference: 0.01171875 at index (1, 1) (up to 1e-05 allowed)
E   Greatest relative difference: 0.041351318359375 at index (0, 7) (up to 0.001 allowed)

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

See this annotation in the file changed.

@github-actions github-actions / Test Results

All 3 runs failed: test_output_match_opinfo__linspace_tensor_overload_cpu_int64 (onnxscript.tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU) 

artifacts/Test Results (py310-torch-nightly-macos-latest)/pytest.xml [took 2s]
artifacts/Test Results (py310-torch-nightly-ubuntu-latest)/pytest.xml [took 1s]
artifacts/Test Results (py310-torch-nightly-windows-latest)/pytest.xml [took 4s]
Raw output 
AssertionError: Tensor-likes are not equal!

Mismatched elements: 1 / 50 (2.0%)
Greatest absolute difference: 1 at index (49,)
Greatest relative difference: 0.3333333432674408 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 1 / 50 (2.0%)
Greatest absolute difference: 1 at index (49,)
Greatest relative difference: 0.3333333432674408 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 1 / 50 (2.0%)
Greatest absolute difference: 1 at index (49,)
Greatest relative difference: 0.3333333432674408 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 2 at index (25,)
Greatest relative difference: inf at index (25,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 2 at index (25,)
Greatest relative difference: inf at index (25,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 2 at index (25,)
Greatest relative difference: inf at index (25,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 3 at index (49,)
Greatest relative difference: inf at index (17,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 3 at index (49,)
Greatest relative difference: inf at index (17,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 3 at index (49,)
Greatest relative difference: inf at index (17,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 6 at index (49,)
Greatest relative difference: inf at index (9,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 6 at index (49,)
Greatest relative difference: inf at index (9,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 6 at index (49,)
Greatest relative difference: inf at index (9,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 34 / 50 (68.0%)
Greatest absolute difference: 3 at index (49,)
Greatest relative difference: inf at index (1,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 34 / 50 (68.0%)
Greatest absolute difference: 3 at index (49,)
Greatest relative difference: inf at index (1,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 34 / 50 (68.0%)
Greatest absolute difference: 3 at index (49,)
Greatest relative difference: inf at index (1,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 33 / 50 (66.0%)
Greatest absolute difference: 3 at index (49,)
Greatest relative difference: 1.0 at index (17,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 33 / 50 (66.0%)
Greatest absolute difference: 3 at index (49,)
Greatest relative difference: 1.0 at index (17,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 33 / 50 (66.0%)
Greatest absolute difference: 3 at index (49,)
Greatest relative difference: 1.0 at index (17,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 1 / 50 (2.0%)
Greatest absolute difference: 1 at index (49,)
Greatest relative difference: 1.0 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 1 / 50 (2.0%)
Greatest absolute difference: 1 at index (49,)
Greatest relative difference: 1.0 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 1 / 50 (2.0%)
Greatest absolute difference: 1 at index (49,)
Greatest relative difference: 1.0 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 37 / 50 (74.0%)
Greatest absolute difference: 4 at index (49,)
Greatest relative difference: 1.0 at index (13,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 37 / 50 (74.0%)
Greatest absolute difference: 4 at index (49,)
Greatest relative difference: 1.0 at index (13,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 37 / 50 (74.0%)
Greatest absolute difference: 4 at index (49,)
Greatest relative difference: 1.0 at index (13,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 1 / 50 (2.0%)
Greatest absolute difference: 1 at index (49,)
Greatest relative difference: 0.019999999552965164 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 1 / 50 (2.0%)
Greatest absolute difference: 1 at index (49,)
Greatest relative difference: 0.019999999552965164 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 1 / 50 (2.0%)
Greatest absolute difference: 1 at index (49,)
Greatest relative difference: 0.019999999552965164 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 7 at index (49,)
Greatest relative difference: inf at index (22,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 7 at index (49,)
Greatest relative difference: inf at index (22,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 7 at index (49,)
Greatest relative difference: inf at index (22,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 4 at index (37,)
Greatest relative difference: inf at index (37,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 4 at index (37,)
Greatest relative difference: inf at index (37,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 4 at index (37,)
Greatest relative difference: inf at index (37,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 3 at index (33,)
Greatest relative difference: 3.0 at index (33,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 3 at index (33,)
Greatest relative difference: 3.0 at index (33,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 3 at index (33,)
Greatest relative difference: 3.0 at index (33,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 48 / 50 (96.0%)
Greatest absolute difference: 46 at index (49,)
Greatest relative difference: 0.9200000166893005 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 48 / 50 (96.0%)
Greatest absolute difference: 46 at index (49,)
Greatest relative difference: 0.9200000166893005 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 48 / 50 (96.0%)
Greatest absolute difference: 46 at index (49,)
Greatest relative difference: 0.9200000166893005 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 4 at index (37,)
Greatest relative difference: inf at index (46,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 4 at index (37,)
Greatest relative difference: inf at index (46,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 4 at index (37,)
Greatest relative difference: inf at index (46,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 1 at index (1,)
Greatest relative difference: inf at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 1 at index (1,)
Greatest relative difference: inf at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 1 at index (1,)
Greatest relative difference: inf at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 46 at index (48,)
Greatest relative difference: 11.5 at index (48,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 46 at index (48,)
Greatest relative difference: 11.5 at index (48,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 46 at index (48,)
Greatest relative difference: 11.5 at index (48,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 43 / 50 (86.0%)
Greatest absolute difference: 7 at index (49,)
Greatest relative difference: 1.0 at index (7,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 1 / 50 (2.0%)
E   Greatest absolute difference: 1 at index (49,)
E   Greatest relative difference: 0.3333333432674408 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 1 / 50 (2.0%)
E   Greatest absolute difference: 1 at index (49,)
E   Greatest relative difference: 0.3333333432674408 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 1 / 50 (2.0%)
E   Greatest absolute difference: 1 at index (49,)
E   Greatest relative difference: 0.3333333432674408 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 2 at index (25,)
E   Greatest relative difference: inf at index (25,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 2 at index (25,)
E   Greatest relative difference: inf at index (25,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 2 at index (25,)
E   Greatest relative difference: inf at index (25,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 3 at index (49,)
E   Greatest relative difference: inf at index (17,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 3 at index (49,)
E   Greatest relative difference: inf at index (17,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 3 at index (49,)
E   Greatest relative difference: inf at index (17,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 6 at index (49,)
E   Greatest relative difference: inf at index (9,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 6 at index (49,)
E   Greatest relative difference: inf at index (9,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 6 at index (49,)
E   Greatest relative difference: inf at index (9,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 34 / 50 (68.0%)
E   Greatest absolute difference: 3 at index (49,)
E   Greatest relative difference: inf at index (1,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 34 / 50 (68.0%)
E   Greatest absolute difference: 3 at index (49,)
E   Greatest relative difference: inf at index (1,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 34 / 50 (68.0%)
E   Greatest absolute difference: 3 at index (49,)
E   Greatest relative difference: inf at index (1,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 33 / 50 (66.0%)
E   Greatest absolute difference: 3 at index (49,)
E   Greatest relative difference: 1.0 at index (17,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 33 / 50 (66.0%)
E   Greatest absolute difference: 3 at index (49,)
E   Greatest relative difference: 1.0 at index (17,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 33 / 50 (66.0%)
E   Greatest absolute difference: 3 at index (49,)
E   Greatest relative difference: 1.0 at index (17,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 1 / 50 (2.0%)
E   Greatest absolute difference: 1 at index (49,)
E   Greatest relative difference: 1.0 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 1 / 50 (2.0%)
E   Greatest absolute difference: 1 at index (49,)
E   Greatest relative difference: 1.0 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 1 / 50 (2.0%)
E   Greatest absolute difference: 1 at index (49,)
E   Greatest relative difference: 1.0 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 37 / 50 (74.0%)
E   Greatest absolute difference: 4 at index (49,)
E   Greatest relative difference: 1.0 at index (13,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 37 / 50 (74.0%)
E   Greatest absolute difference: 4 at index (49,)
E   Greatest relative difference: 1.0 at index (13,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 37 / 50 (74.0%)
E   Greatest absolute difference: 4 at index (49,)
E   Greatest relative difference: 1.0 at index (13,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 1 / 50 (2.0%)
E   Greatest absolute difference: 1 at index (49,)
E   Greatest relative difference: 0.019999999552965164 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 1 / 50 (2.0%)
E   Greatest absolute difference: 1 at index (49,)
E   Greatest relative difference: 0.019999999552965164 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 1 / 50 (2.0%)
E   Greatest absolute difference: 1 at index (49,)
E   Greatest relative difference: 0.019999999552965164 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 7 at index (49,)
E   Greatest relative difference: inf at index (22,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 7 at index (49,)
E   Greatest relative difference: inf at index (22,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 7 at index (49,)
E   Greatest relative difference: inf at index (22,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 4 at index (37,)
E   Greatest relative difference: inf at index (37,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 4 at index (37,)
E   Greatest relative difference: inf at index (37,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 4 at index (37,)
E   Greatest relative difference: inf at index (37,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 3 at index (33,)
E   Greatest relative difference: 3.0 at index (33,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 3 at index (33,)
E   Greatest relative difference: 3.0 at index (33,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 3 at index (33,)
E   Greatest relative difference: 3.0 at index (33,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 48 / 50 (96.0%)
E   Greatest absolute difference: 46 at index (49,)
E   Greatest relative difference: 0.9200000166893005 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 48 / 50 (96.0%)
E   Greatest absolute difference: 46 at index (49,)
E   Greatest relative difference: 0.9200000166893005 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 48 / 50 (96.0%)
E   Greatest absolute difference: 46 at index (49,)
E   Greatest relative difference: 0.9200000166893005 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 4 at index (37,)
E   Greatest relative difference: inf at index (46,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 4 at index (37,)
E   Greatest relative difference: inf at index (46,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 4 at index (37,)
E   Greatest relative difference: inf at index (46,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 1 at index (1,)
E   Greatest relative difference: inf at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 1 at index (1,)
E   Greatest relative difference: inf at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 1 at index (1,)
E   Greatest relative difference: inf at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 46 at index (48,)
E   Greatest relative difference: 11.5 at index (48,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 46 at index (48,)
E   Greatest relative difference: 11.5 at index (48,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 46 at index (48,)
E   Greatest relative difference: 11.5 at index (48,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 43 / 50 (86.0%)
E   Greatest absolute difference: 7 at index (49,)
E   Greatest relative difference: 1.0 at index (7,)

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

See this annotation in the file changed.

@github-actions github-actions / Test Results

All 3 runs failed: test_output_match_opinfo__addmv_cpu_float16 (onnxscript.tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU) 

artifacts/Test Results (py310-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py310-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py310-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: 0.01171875 at index (1,) (up to 1e-05 allowed)
Greatest relative difference: 0.0018596649169921875 at index (1,) (up to 0.001 allowed)
AssertionError: Tensor-likes are not close!

Mismatched elements: 1 / 5 (20.0%)
Greatest absolute difference: 0.0078125 at index (2,) (up to 1e-05 allowed)
Greatest relative difference: 0.0015964508056640625 at index (2,) (up to 0.001 allowed)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: 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: 0.01171875 at index (1,) (up to 1e-05 allowed)
E   Greatest relative difference: 0.0018596649169921875 at index (1,) (up to 0.001 allowed)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: 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: 0.0078125 at index (2,) (up to 1e-05 allowed)
E   Greatest relative difference: 0.0015964508056640625 at index (2,) (up to 0.001 allowed)

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

See this annotation in the file changed.

@github-actions github-actions / Test Results

All 3 runs failed: test_output_match_opinfo__native_batch_norm_cpu_float16 (onnxscript.tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU) 

artifacts/Test Results (py310-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py310-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py310-torch-nightly-windows-latest)/pytest.xml [took 0s]
Raw output 
AssertionError: Output 0 mismatch
AssertionError: Output 1 mismatch
AssertionError: Output 0 mismatch
AssertionError: Output 0 mismatch
AssertionError: Output 1 mismatch
AssertionError: Output 1 mismatch
AssertionError: Output 1 mismatch
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 10 / 125 (8.0%)
E   Greatest absolute difference: 0.002197265625 at index (2, 1, 2) (up to 1e-05 allowed)
E   Greatest relative difference: 0.01470947265625 at index (1, 0, 0) (up to 0.001 allowed)

The above exception was the direct cause of the following exception:
onnxscript\tests\function_libs\torch_lib\ops_test.py:281: in run_test_output_match
    raise AssertionError(f"Output {j} mismatch") from e
E   AssertionError: Output 0 mismatch
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.

The above exception was the direct cause of the following exception:
onnxscript\tests\function_libs\torch_lib\ops_test.py:281: in run_test_output_match
    raise AssertionError(f"Output {j} mismatch") from e
E   AssertionError: Output 1 mismatch
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 1 / 3 (33.3%)
E   Greatest absolute difference: 0.000732421875 at index (1, 0) (up to 1e-05 allowed)
E   Greatest relative difference: 0.0014848709106445312 at index (1, 0) (up to 0.001 allowed)

The above exception was the direct cause of the following exception:
onnxscript\tests\function_libs\torch_lib\ops_test.py:281: in run_test_output_match
    raise AssertionError(f"Output {j} mismatch") from e
E   AssertionError: Output 0 mismatch
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 2 / 72 (2.8%)
E   Greatest absolute difference: 0.000732421875 at index (0, 0, 0, 2) (up to 1e-05 allowed)
E   Greatest relative difference: 0.0090484619140625 at index (1, 0, 0, 0) (up to 0.001 allowed)

The above exception was the direct cause of the following exception:
onnxscript\tests\function_libs\torch_lib\ops_test.py:281: in run_test_output_match
    raise AssertionError(f"Output {j} mismatch") from e
E   AssertionError: Output 0 mismatch
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.

The above exception was the direct cause of the following exception:
onnxscript\tests\function_libs\torch_lib\ops_test.py:281: in run_test_output_match
    raise AssertionError(f"Output {j} mismatch") from e
E   AssertionError: Output 1 mismatch
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.

The above exception was the direct cause of the following exception:
onnxscript\tests\function_libs\torch_lib\ops_test.py:281: in run_test_output_match
    raise AssertionError(f"Output {j} mismatch") from e
E   AssertionError: Output 1 mismatch
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.

The above exception was the direct cause of the following exception:
onnxscript\tests\function_libs\torch_lib\ops_test.py:281: in run_test_output_match
    raise AssertionError(f"Output {j} mismatch") from e
E   AssertionError: Output 1 mismatch

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

See this annotation in the file changed.

@github-actions github-actions / Test Results

All 3 runs failed: test_output_match_opinfo__addmm_decomposed_cpu_float16 (onnxscript.tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU) 

artifacts/Test Results (py310-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py310-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py310-torch-nightly-windows-latest)/pytest.xml [took 0s]
Raw output 
AssertionError: Tensor-likes are not close!

Mismatched elements: 1 / 6 (16.7%)
Greatest absolute difference: 0.00146484375 at index (0, 1) (up to 1e-05 allowed)
Greatest relative difference: 0.0030841827392578125 at index (0, 1) (up to 0.001 allowed)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 1 / 6 (16.7%)
E   Greatest absolute difference: 0.00146484375 at index (0, 1) (up to 1e-05 allowed)
E   Greatest relative difference: 0.0030841827392578125 at index (0, 1) (up to 0.001 allowed)

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

See this annotation in the file changed.

@github-actions github-actions / Test Results

All 3 runs failed: test_output_match_opinfo__matmul_cpu_float16 (onnxscript.tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU) 

artifacts/Test Results (py310-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py310-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py310-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: 0.01171875 at index (0,) (up to 1e-05 allowed)
Greatest relative difference: 0.002384185791015625 at index (0,) (up to 0.001 allowed)
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: 0.004360198974609375 at index (2, 3) (up to 0.001 allowed)
AssertionError: Tensor-likes are not close!

Mismatched elements: 38 / 250 (15.2%)
Greatest absolute difference: 0.0625 at index (0, 3, 9) (up to 1e-05 allowed)
Greatest relative difference: 0.0582275390625 at index (3, 4, 6) (up to 0.001 allowed)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: 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: 0.01171875 at index (0,) (up to 1e-05 allowed)
E   Greatest relative difference: 0.002384185791015625 at index (0,) (up to 0.001 allowed)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: 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: 0.004360198974609375 at index (2, 3) (up to 0.001 allowed)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 38 / 250 (15.2%)
E   Greatest absolute difference: 0.0625 at index (0, 3, 9) (up to 1e-05 allowed)
E   Greatest relative difference: 0.0582275390625 at index (3, 4, 6) (up to 0.001 allowed)

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

See this annotation in the file changed.

@github-actions github-actions / Test Results

All 3 runs failed: test_output_match_opinfo__linspace_tensor_overload_cpu_float16 (onnxscript.tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU) 

artifacts/Test Results (py310-torch-nightly-macos-latest)/pytest.xml [took 3s]
artifacts/Test Results (py310-torch-nightly-ubuntu-latest)/pytest.xml [took 3s]
artifacts/Test Results (py310-torch-nightly-windows-latest)/pytest.xml [took 5s]
Raw output 
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float16.

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

See this annotation in the file changed.

@github-actions github-actions / Test Results

All 3 runs failed: test_output_match_opinfo__addbmm_cpu_float16 (onnxscript.tests.function_libs.torch_lib.ops_test.TestOutputConsistencyFullGraphCPU) 

artifacts/Test Results (py310-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py310-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py310-torch-nightly-windows-latest)/pytest.xml [took 0s]
Raw output 
AssertionError: Tensor-likes are not close!

Mismatched elements: 9 / 50 (18.0%)
Greatest absolute difference: 0.09375 at index (2, 3) (up to 1e-05 allowed)
Greatest relative difference: 0.0338134765625 at index (4, 1) (up to 0.001 allowed)
AssertionError: Tensor-likes are not close!

Mismatched elements: 5 / 50 (10.0%)
Greatest absolute difference: 0.0625 at index (2, 7) (up to 1e-05 allowed)
Greatest relative difference: 0.01500701904296875 at index (1, 2) (up to 0.001 allowed)
AssertionError: Tensor-likes are not close!

Mismatched elements: 6 / 50 (12.0%)
Greatest absolute difference: 0.0078125 at index (3, 7) (up to 1e-05 allowed)
Greatest relative difference: 0.00559234619140625 at index (0, 8) (up to 0.001 allowed)
AssertionError: Tensor-likes are not close!

Mismatched elements: 5 / 50 (10.0%)
Greatest absolute difference: 0.015625 at index (4, 2) (up to 1e-05 allowed)
Greatest relative difference: 0.01526641845703125 at index (1, 2) (up to 0.001 allowed)
AssertionError: Tensor-likes are not close!

Mismatched elements: 12 / 50 (24.0%)
Greatest absolute difference: 0.0625 at index (3, 2) (up to 1e-05 allowed)
Greatest relative difference: 0.08935546875 at index (4, 7) (up to 0.001 allowed)
AssertionError: Tensor-likes are not close!

Mismatched elements: 7 / 50 (14.0%)
Greatest absolute difference: 0.013671875 at index (4, 5) (up to 1e-05 allowed)
Greatest relative difference: 0.00673675537109375 at index (2, 6) (up to 0.001 allowed)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 9 / 50 (18.0%)
E   Greatest absolute difference: 0.09375 at index (2, 3) (up to 1e-05 allowed)
E   Greatest relative difference: 0.0338134765625 at index (4, 1) (up to 0.001 allowed)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 5 / 50 (10.0%)
E   Greatest absolute difference: 0.0625 at index (2, 7) (up to 1e-05 allowed)
E   Greatest relative difference: 0.01500701904296875 at index (1, 2) (up to 0.001 allowed)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 6 / 50 (12.0%)
E   Greatest absolute difference: 0.0078125 at index (3, 7) (up to 1e-05 allowed)
E   Greatest relative difference: 0.00559234619140625 at index (0, 8) (up to 0.001 allowed)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 5 / 50 (10.0%)
E   Greatest absolute difference: 0.015625 at index (4, 2) (up to 1e-05 allowed)
E   Greatest relative difference: 0.01526641845703125 at index (1, 2) (up to 0.001 allowed)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 12 / 50 (24.0%)
E   Greatest absolute difference: 0.0625 at index (3, 2) (up to 1e-05 allowed)
E   Greatest relative difference: 0.08935546875 at index (4, 7) (up to 0.001 allowed)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 7 / 50 (14.0%)
E   Greatest absolute difference: 0.013671875 at index (4, 5) (up to 1e-05 allowed)
E   Greatest relative difference: 0.00673675537109375 at index (2, 6) (up to 0.001 allowed)

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

See this annotation in the file changed.

@github-actions github-actions / Test Results

All 3 runs failed: test_output_match_opinfo__linspace_tensor_overload_cpu_int64 (onnxscript.tests.function_libs.torch_lib.ops_test.TestOutputConsistencyFullGraphCPU) 

artifacts/Test Results (py310-torch-nightly-macos-latest)/pytest.xml [took 1s]
artifacts/Test Results (py310-torch-nightly-ubuntu-latest)/pytest.xml [took 7s]
artifacts/Test Results (py310-torch-nightly-windows-latest)/pytest.xml [took 1s]
Raw output 
AssertionError: Tensor-likes are not equal!

Mismatched elements: 1 / 50 (2.0%)
Greatest absolute difference: 1 at index (49,)
Greatest relative difference: 0.3333333432674408 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 1 / 50 (2.0%)
Greatest absolute difference: 1 at index (49,)
Greatest relative difference: 0.3333333432674408 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 1 / 50 (2.0%)
Greatest absolute difference: 1 at index (49,)
Greatest relative difference: 0.3333333432674408 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 2 at index (25,)
Greatest relative difference: inf at index (25,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 2 at index (25,)
Greatest relative difference: inf at index (25,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 2 at index (25,)
Greatest relative difference: inf at index (25,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 3 at index (49,)
Greatest relative difference: inf at index (17,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 3 at index (49,)
Greatest relative difference: inf at index (17,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 3 at index (49,)
Greatest relative difference: inf at index (17,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 6 at index (49,)
Greatest relative difference: inf at index (9,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 6 at index (49,)
Greatest relative difference: inf at index (9,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 6 at index (49,)
Greatest relative difference: inf at index (9,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 34 / 50 (68.0%)
Greatest absolute difference: 3 at index (49,)
Greatest relative difference: inf at index (1,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 34 / 50 (68.0%)
Greatest absolute difference: 3 at index (49,)
Greatest relative difference: inf at index (1,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 34 / 50 (68.0%)
Greatest absolute difference: 3 at index (49,)
Greatest relative difference: inf at index (1,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 33 / 50 (66.0%)
Greatest absolute difference: 3 at index (49,)
Greatest relative difference: 1.0 at index (17,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 33 / 50 (66.0%)
Greatest absolute difference: 3 at index (49,)
Greatest relative difference: 1.0 at index (17,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 33 / 50 (66.0%)
Greatest absolute difference: 3 at index (49,)
Greatest relative difference: 1.0 at index (17,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 1 / 50 (2.0%)
Greatest absolute difference: 1 at index (49,)
Greatest relative difference: 1.0 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 1 / 50 (2.0%)
Greatest absolute difference: 1 at index (49,)
Greatest relative difference: 1.0 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 1 / 50 (2.0%)
Greatest absolute difference: 1 at index (49,)
Greatest relative difference: 1.0 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 37 / 50 (74.0%)
Greatest absolute difference: 4 at index (49,)
Greatest relative difference: 1.0 at index (13,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 37 / 50 (74.0%)
Greatest absolute difference: 4 at index (49,)
Greatest relative difference: 1.0 at index (13,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 37 / 50 (74.0%)
Greatest absolute difference: 4 at index (49,)
Greatest relative difference: 1.0 at index (13,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 1 / 50 (2.0%)
Greatest absolute difference: 1 at index (49,)
Greatest relative difference: 0.019999999552965164 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 1 / 50 (2.0%)
Greatest absolute difference: 1 at index (49,)
Greatest relative difference: 0.019999999552965164 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 1 / 50 (2.0%)
Greatest absolute difference: 1 at index (49,)
Greatest relative difference: 0.019999999552965164 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 7 at index (49,)
Greatest relative difference: inf at index (22,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 7 at index (49,)
Greatest relative difference: inf at index (22,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 7 at index (49,)
Greatest relative difference: inf at index (22,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 4 at index (37,)
Greatest relative difference: inf at index (37,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 4 at index (37,)
Greatest relative difference: inf at index (37,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 4 at index (37,)
Greatest relative difference: inf at index (37,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 3 at index (33,)
Greatest relative difference: 3.0 at index (33,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 3 at index (33,)
Greatest relative difference: 3.0 at index (33,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 3 at index (33,)
Greatest relative difference: 3.0 at index (33,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 48 / 50 (96.0%)
Greatest absolute difference: 46 at index (49,)
Greatest relative difference: 0.9200000166893005 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 48 / 50 (96.0%)
Greatest absolute difference: 46 at index (49,)
Greatest relative difference: 0.9200000166893005 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 48 / 50 (96.0%)
Greatest absolute difference: 46 at index (49,)
Greatest relative difference: 0.9200000166893005 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 4 at index (37,)
Greatest relative difference: inf at index (46,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 4 at index (37,)
Greatest relative difference: inf at index (46,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 4 at index (37,)
Greatest relative difference: inf at index (46,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 1 at index (1,)
Greatest relative difference: inf at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 1 at index (1,)
Greatest relative difference: inf at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 1 at index (1,)
Greatest relative difference: inf at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 46 at index (48,)
Greatest relative difference: 11.5 at index (48,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 46 at index (48,)
Greatest relative difference: 11.5 at index (48,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 46 at index (48,)
Greatest relative difference: 11.5 at index (48,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 43 / 50 (86.0%)
Greatest absolute difference: 7 at index (49,)
Greatest relative difference: 1.0 at index (7,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 1 / 50 (2.0%)
E   Greatest absolute difference: 1 at index (49,)
E   Greatest relative difference: 0.3333333432674408 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 1 / 50 (2.0%)
E   Greatest absolute difference: 1 at index (49,)
E   Greatest relative difference: 0.3333333432674408 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 1 / 50 (2.0%)
E   Greatest absolute difference: 1 at index (49,)
E   Greatest relative difference: 0.3333333432674408 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 2 at index (25,)
E   Greatest relative difference: inf at index (25,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 2 at index (25,)
E   Greatest relative difference: inf at index (25,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 2 at index (25,)
E   Greatest relative difference: inf at index (25,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 3 at index (49,)
E   Greatest relative difference: inf at index (17,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 3 at index (49,)
E   Greatest relative difference: inf at index (17,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 3 at index (49,)
E   Greatest relative difference: inf at index (17,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 6 at index (49,)
E   Greatest relative difference: inf at index (9,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 6 at index (49,)
E   Greatest relative difference: inf at index (9,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 6 at index (49,)
E   Greatest relative difference: inf at index (9,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 34 / 50 (68.0%)
E   Greatest absolute difference: 3 at index (49,)
E   Greatest relative difference: inf at index (1,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 34 / 50 (68.0%)
E   Greatest absolute difference: 3 at index (49,)
E   Greatest relative difference: inf at index (1,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 34 / 50 (68.0%)
E   Greatest absolute difference: 3 at index (49,)
E   Greatest relative difference: inf at index (1,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 33 / 50 (66.0%)
E   Greatest absolute difference: 3 at index (49,)
E   Greatest relative difference: 1.0 at index (17,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 33 / 50 (66.0%)
E   Greatest absolute difference: 3 at index (49,)
E   Greatest relative difference: 1.0 at index (17,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 33 / 50 (66.0%)
E   Greatest absolute difference: 3 at index (49,)
E   Greatest relative difference: 1.0 at index (17,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 1 / 50 (2.0%)
E   Greatest absolute difference: 1 at index (49,)
E   Greatest relative difference: 1.0 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 1 / 50 (2.0%)
E   Greatest absolute difference: 1 at index (49,)
E   Greatest relative difference: 1.0 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 1 / 50 (2.0%)
E   Greatest absolute difference: 1 at index (49,)
E   Greatest relative difference: 1.0 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 37 / 50 (74.0%)
E   Greatest absolute difference: 4 at index (49,)
E   Greatest relative difference: 1.0 at index (13,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 37 / 50 (74.0%)
E   Greatest absolute difference: 4 at index (49,)
E   Greatest relative difference: 1.0 at index (13,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 37 / 50 (74.0%)
E   Greatest absolute difference: 4 at index (49,)
E   Greatest relative difference: 1.0 at index (13,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 1 / 50 (2.0%)
E   Greatest absolute difference: 1 at index (49,)
E   Greatest relative difference: 0.019999999552965164 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 1 / 50 (2.0%)
E   Greatest absolute difference: 1 at index (49,)
E   Greatest relative difference: 0.019999999552965164 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 1 / 50 (2.0%)
E   Greatest absolute difference: 1 at index (49,)
E   Greatest relative difference: 0.019999999552965164 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 7 at index (49,)
E   Greatest relative difference: inf at index (22,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 7 at index (49,)
E   Greatest relative difference: inf at index (22,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 7 at index (49,)
E   Greatest relative difference: inf at index (22,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 4 at index (37,)
E   Greatest relative difference: inf at index (37,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 4 at index (37,)
E   Greatest relative difference: inf at index (37,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 4 at index (37,)
E   Greatest relative difference: inf at index (37,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 3 at index (33,)
E   Greatest relative difference: 3.0 at index (33,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 3 at index (33,)
E   Greatest relative difference: 3.0 at index (33,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 3 at index (33,)
E   Greatest relative difference: 3.0 at index (33,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 48 / 50 (96.0%)
E   Greatest absolute difference: 46 at index (49,)
E   Greatest relative difference: 0.9200000166893005 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 48 / 50 (96.0%)
E   Greatest absolute difference: 46 at index (49,)
E   Greatest relative difference: 0.9200000166893005 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 48 / 50 (96.0%)
E   Greatest absolute difference: 46 at index (49,)
E   Greatest relative difference: 0.9200000166893005 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 4 at index (37,)
E   Greatest relative difference: inf at index (46,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 4 at index (37,)
E   Greatest relative difference: inf at index (46,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 4 at index (37,)
E   Greatest relative difference: inf at index (46,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 1 at index (1,)
E   Greatest relative difference: inf at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 1 at index (1,)
E   Greatest relative difference: inf at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 1 at index (1,)
E   Greatest relative difference: inf at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 46 at index (48,)
E   Greatest relative difference: 11.5 at index (48,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 46 at index (48,)
E   Greatest relative difference: 11.5 at index (48,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 46 at index (48,)
E   Greatest relative difference: 11.5 at index (48,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 43 / 50 (86.0%)
E   Greatest absolute difference: 7 at index (49,)
E   Greatest relative difference: 1.0 at index (7,)

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

See this annotation in the file changed.

@github-actions github-actions / Test Results

All 3 runs failed: test_output_match_opinfo__linspace_tensor_overload_cpu_int32 (onnxscript.tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU) 

artifacts/Test Results (py310-torch-nightly-macos-latest)/pytest.xml [took 2s]
artifacts/Test Results (py310-torch-nightly-ubuntu-latest)/pytest.xml [took 2s]
artifacts/Test Results (py310-torch-nightly-windows-latest)/pytest.xml [took 6s]
Raw output 
AssertionError: Tensor-likes are not equal!

Mismatched elements: 1 / 50 (2.0%)
Greatest absolute difference: 1 at index (49,)
Greatest relative difference: 0.3333333432674408 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 1 / 50 (2.0%)
Greatest absolute difference: 1 at index (49,)
Greatest relative difference: 0.3333333432674408 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 1 / 50 (2.0%)
Greatest absolute difference: 1 at index (49,)
Greatest relative difference: 0.3333333432674408 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 2 at index (25,)
Greatest relative difference: inf at index (25,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 2 at index (25,)
Greatest relative difference: inf at index (25,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 2 at index (25,)
Greatest relative difference: inf at index (25,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 3 at index (49,)
Greatest relative difference: inf at index (17,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 3 at index (49,)
Greatest relative difference: inf at index (17,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 3 at index (49,)
Greatest relative difference: inf at index (17,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 6 at index (49,)
Greatest relative difference: inf at index (9,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 6 at index (49,)
Greatest relative difference: inf at index (9,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 6 at index (49,)
Greatest relative difference: inf at index (9,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 34 / 50 (68.0%)
Greatest absolute difference: 3 at index (49,)
Greatest relative difference: inf at index (1,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 34 / 50 (68.0%)
Greatest absolute difference: 3 at index (49,)
Greatest relative difference: inf at index (1,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 34 / 50 (68.0%)
Greatest absolute difference: 3 at index (49,)
Greatest relative difference: inf at index (1,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 33 / 50 (66.0%)
Greatest absolute difference: 3 at index (49,)
Greatest relative difference: 1.0 at index (17,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 33 / 50 (66.0%)
Greatest absolute difference: 3 at index (49,)
Greatest relative difference: 1.0 at index (17,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 33 / 50 (66.0%)
Greatest absolute difference: 3 at index (49,)
Greatest relative difference: 1.0 at index (17,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 1 / 50 (2.0%)
Greatest absolute difference: 1 at index (49,)
Greatest relative difference: 1.0 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 1 / 50 (2.0%)
Greatest absolute difference: 1 at index (49,)
Greatest relative difference: 1.0 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 1 / 50 (2.0%)
Greatest absolute difference: 1 at index (49,)
Greatest relative difference: 1.0 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 37 / 50 (74.0%)
Greatest absolute difference: 4 at index (49,)
Greatest relative difference: 1.0 at index (13,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 37 / 50 (74.0%)
Greatest absolute difference: 4 at index (49,)
Greatest relative difference: 1.0 at index (13,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 37 / 50 (74.0%)
Greatest absolute difference: 4 at index (49,)
Greatest relative difference: 1.0 at index (13,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 1 / 50 (2.0%)
Greatest absolute difference: 1 at index (49,)
Greatest relative difference: 0.019999999552965164 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 1 / 50 (2.0%)
Greatest absolute difference: 1 at index (49,)
Greatest relative difference: 0.019999999552965164 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 1 / 50 (2.0%)
Greatest absolute difference: 1 at index (49,)
Greatest relative difference: 0.019999999552965164 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 7 at index (49,)
Greatest relative difference: inf at index (22,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 7 at index (49,)
Greatest relative difference: inf at index (22,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 7 at index (49,)
Greatest relative difference: inf at index (22,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 4 at index (37,)
Greatest relative difference: inf at index (37,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 4 at index (37,)
Greatest relative difference: inf at index (37,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 4 at index (37,)
Greatest relative difference: inf at index (37,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 3 at index (33,)
Greatest relative difference: 3.0 at index (33,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 3 at index (33,)
Greatest relative difference: 3.0 at index (33,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 3 at index (33,)
Greatest relative difference: 3.0 at index (33,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 48 / 50 (96.0%)
Greatest absolute difference: 46 at index (49,)
Greatest relative difference: 0.9200000166893005 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 48 / 50 (96.0%)
Greatest absolute difference: 46 at index (49,)
Greatest relative difference: 0.9200000166893005 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 48 / 50 (96.0%)
Greatest absolute difference: 46 at index (49,)
Greatest relative difference: 0.9200000166893005 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 4 at index (37,)
Greatest relative difference: inf at index (46,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 4 at index (37,)
Greatest relative difference: inf at index (46,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 4 at index (37,)
Greatest relative difference: inf at index (46,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 1 at index (1,)
Greatest relative difference: inf at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 1 at index (1,)
Greatest relative difference: inf at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 1 at index (1,)
Greatest relative difference: inf at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 46 at index (48,)
Greatest relative difference: 11.5 at index (48,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 46 at index (48,)
Greatest relative difference: 11.5 at index (48,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 46 at index (48,)
Greatest relative difference: 11.5 at index (48,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 43 / 50 (86.0%)
Greatest absolute difference: 7 at index (49,)
Greatest relative difference: 1.0 at index (7,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 1 / 50 (2.0%)
E   Greatest absolute difference: 1 at index (49,)
E   Greatest relative difference: 0.3333333432674408 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 1 / 50 (2.0%)
E   Greatest absolute difference: 1 at index (49,)
E   Greatest relative difference: 0.3333333432674408 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 1 / 50 (2.0%)
E   Greatest absolute difference: 1 at index (49,)
E   Greatest relative difference: 0.3333333432674408 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 2 at index (25,)
E   Greatest relative difference: inf at index (25,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 2 at index (25,)
E   Greatest relative difference: inf at index (25,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 2 at index (25,)
E   Greatest relative difference: inf at index (25,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 3 at index (49,)
E   Greatest relative difference: inf at index (17,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 3 at index (49,)
E   Greatest relative difference: inf at index (17,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 3 at index (49,)
E   Greatest relative difference: inf at index (17,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 6 at index (49,)
E   Greatest relative difference: inf at index (9,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 6 at index (49,)
E   Greatest relative difference: inf at index (9,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 6 at index (49,)
E   Greatest relative difference: inf at index (9,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 34 / 50 (68.0%)
E   Greatest absolute difference: 3 at index (49,)
E   Greatest relative difference: inf at index (1,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 34 / 50 (68.0%)
E   Greatest absolute difference: 3 at index (49,)
E   Greatest relative difference: inf at index (1,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 34 / 50 (68.0%)
E   Greatest absolute difference: 3 at index (49,)
E   Greatest relative difference: inf at index (1,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 33 / 50 (66.0%)
E   Greatest absolute difference: 3 at index (49,)
E   Greatest relative difference: 1.0 at index (17,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 33 / 50 (66.0%)
E   Greatest absolute difference: 3 at index (49,)
E   Greatest relative difference: 1.0 at index (17,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 33 / 50 (66.0%)
E   Greatest absolute difference: 3 at index (49,)
E   Greatest relative difference: 1.0 at index (17,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 1 / 50 (2.0%)
E   Greatest absolute difference: 1 at index (49,)
E   Greatest relative difference: 1.0 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 1 / 50 (2.0%)
E   Greatest absolute difference: 1 at index (49,)
E   Greatest relative difference: 1.0 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 1 / 50 (2.0%)
E   Greatest absolute difference: 1 at index (49,)
E   Greatest relative difference: 1.0 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 37 / 50 (74.0%)
E   Greatest absolute difference: 4 at index (49,)
E   Greatest relative difference: 1.0 at index (13,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 37 / 50 (74.0%)
E   Greatest absolute difference: 4 at index (49,)
E   Greatest relative difference: 1.0 at index (13,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 37 / 50 (74.0%)
E   Greatest absolute difference: 4 at index (49,)
E   Greatest relative difference: 1.0 at index (13,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 1 / 50 (2.0%)
E   Greatest absolute difference: 1 at index (49,)
E   Greatest relative difference: 0.019999999552965164 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 1 / 50 (2.0%)
E   Greatest absolute difference: 1 at index (49,)
E   Greatest relative difference: 0.019999999552965164 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 1 / 50 (2.0%)
E   Greatest absolute difference: 1 at index (49,)
E   Greatest relative difference: 0.019999999552965164 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 7 at index (49,)
E   Greatest relative difference: inf at index (22,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 7 at index (49,)
E   Greatest relative difference: inf at index (22,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 7 at index (49,)
E   Greatest relative difference: inf at index (22,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 4 at index (37,)
E   Greatest relative difference: inf at index (37,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 4 at index (37,)
E   Greatest relative difference: inf at index (37,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 4 at index (37,)
E   Greatest relative difference: inf at index (37,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 3 at index (33,)
E   Greatest relative difference: 3.0 at index (33,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 3 at index (33,)
E   Greatest relative difference: 3.0 at index (33,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 3 at index (33,)
E   Greatest relative difference: 3.0 at index (33,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 48 / 50 (96.0%)
E   Greatest absolute difference: 46 at index (49,)
E   Greatest relative difference: 0.9200000166893005 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 48 / 50 (96.0%)
E   Greatest absolute difference: 46 at index (49,)
E   Greatest relative difference: 0.9200000166893005 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 48 / 50 (96.0%)
E   Greatest absolute difference: 46 at index (49,)
E   Greatest relative difference: 0.9200000166893005 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 4 at index (37,)
E   Greatest relative difference: inf at index (46,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 4 at index (37,)
E   Greatest relative difference: inf at index (46,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 4 at index (37,)
E   Greatest relative difference: inf at index (46,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 1 at index (1,)
E   Greatest relative difference: inf at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 1 at index (1,)
E   Greatest relative difference: inf at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 1 at index (1,)
E   Greatest relative difference: inf at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 46 at index (48,)
E   Greatest relative difference: 11.5 at index (48,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 46 at index (48,)
E   Greatest relative difference: 11.5 at index (48,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 46 at index (48,)
E   Greatest relative difference: 11.5 at index (48,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 43 / 50 (86.0%)
E   Greatest absolute difference: 7 at index (49,)
E   Greatest relative difference: 1.0 at index (7,)

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

See this annotation in the file changed.

@github-actions github-actions / Test Results

All 3 runs failed: test_output_match_opinfo__matmul_cpu_float16 (onnxscript.tests.function_libs.torch_lib.ops_test.TestOutputConsistencyFullGraphCPU) 

artifacts/Test Results (py310-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py310-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py310-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: 0.01171875 at index (0,) (up to 1e-05 allowed)
Greatest relative difference: 0.002384185791015625 at index (0,) (up to 0.001 allowed)
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: 0.004360198974609375 at index (2, 3) (up to 0.001 allowed)
AssertionError: Tensor-likes are not close!

Mismatched elements: 38 / 250 (15.2%)
Greatest absolute difference: 0.0625 at index (0, 3, 9) (up to 1e-05 allowed)
Greatest relative difference: 0.0582275390625 at index (3, 4, 6) (up to 0.001 allowed)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: 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: 0.01171875 at index (0,) (up to 1e-05 allowed)
E   Greatest relative difference: 0.002384185791015625 at index (0,) (up to 0.001 allowed)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: 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: 0.004360198974609375 at index (2, 3) (up to 0.001 allowed)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 38 / 250 (15.2%)
E   Greatest absolute difference: 0.0625 at index (0, 3, 9) (up to 1e-05 allowed)
E   Greatest relative difference: 0.0582275390625 at index (3, 4, 6) (up to 0.001 allowed)

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

See this annotation in the file changed.

@github-actions github-actions / Test Results

All 3 runs failed: test_output_match_opinfo__nn_functional_linear_bias_cpu_float16 (onnxscript.tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU) 

artifacts/Test Results (py310-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py310-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py310-torch-nightly-windows-latest)/pytest.xml [took 0s]
Raw output 
AssertionError: Tensor-likes are not close!

Mismatched elements: 2 / 32 (6.2%)
Greatest absolute difference: 0.000579833984375 at index (0, 0) (up to 1e-05 allowed)
Greatest relative difference: 0.00948333740234375 at index (0, 0) (up to 0.001 allowed)
AssertionError: Tensor-likes are not close!

Mismatched elements: 2 / 24 (8.3%)
Greatest absolute difference: 0.00048828125 at index (0, 2, 1) (up to 1e-05 allowed)
Greatest relative difference: 0.002288818359375 at index (0, 0, 1) (up to 0.001 allowed)
AssertionError: Tensor-likes are not close!

Mismatched elements: 4 / 64 (6.2%)
Greatest absolute difference: 0.00048828125 at index (2, 2) (up to 1e-05 allowed)
Greatest relative difference: 0.2337646484375 at index (3, 7) (up to 0.001 allowed)
AssertionError: Tensor-likes are not close!

Mismatched elements: 4 / 48 (8.3%)
Greatest absolute difference: 0.0009765625 at index (0, 1, 2) (up to 1e-05 allowed)
Greatest relative difference: 0.00658416748046875 at index (0, 2, 2) (up to 0.001 allowed)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 2 / 32 (6.2%)
E   Greatest absolute difference: 0.000579833984375 at index (0, 0) (up to 1e-05 allowed)
E   Greatest relative difference: 0.00948333740234375 at index (0, 0) (up to 0.001 allowed)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 2 / 24 (8.3%)
E   Greatest absolute difference: 0.00048828125 at index (0, 2, 1) (up to 1e-05 allowed)
E   Greatest relative difference: 0.002288818359375 at index (0, 0, 1) (up to 0.001 allowed)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 4 / 64 (6.2%)
E   Greatest absolute difference: 0.00048828125 at index (2, 2) (up to 1e-05 allowed)
E   Greatest relative difference: 0.2337646484375 at index (3, 7) (up to 0.001 allowed)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 4 / 48 (8.3%)
E   Greatest absolute difference: 0.0009765625 at index (0, 1, 2) (up to 1e-05 allowed)
E   Greatest relative difference: 0.00658416748046875 at index (0, 2, 2) (up to 0.001 allowed)

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

See this annotation in the file changed.

@github-actions github-actions / Test Results

All 3 runs failed: test_output_match_opinfo__addmv_cpu_float16 (onnxscript.tests.function_libs.torch_lib.ops_test.TestOutputConsistencyFullGraphCPU) 

artifacts/Test Results (py310-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py310-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py310-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: 0.01171875 at index (1,) (up to 1e-05 allowed)
Greatest relative difference: 0.0018596649169921875 at index (1,) (up to 0.001 allowed)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: 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: 0.01171875 at index (1,) (up to 1e-05 allowed)
E   Greatest relative difference: 0.0018596649169921875 at index (1,) (up to 0.001 allowed)

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

See this annotation in the file changed.

@github-actions github-actions / Test Results

All 3 runs failed: test_output_match_opinfo__linspace_tensor_overload_cpu_float16 (onnxscript.tests.function_libs.torch_lib.ops_test.TestOutputConsistencyFullGraphCPU) 

artifacts/Test Results (py310-torch-nightly-macos-latest)/pytest.xml [took 7s]
artifacts/Test Results (py310-torch-nightly-ubuntu-latest)/pytest.xml [took 5s]
artifacts/Test Results (py310-torch-nightly-windows-latest)/pytest.xml [took 6s]
Raw output 
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (float input_0, int64 input_1) => (float16[0] _val_16) {
   _val_2 = Constant <value: tensor = float {0}> ()
   _val_3 = Cast <to: int = 1> (_val_2)
   _val_4 = Constant <value: tensor = float {1}> ()
   _val_5 = Cast <to: int = 1> (_val_4)
   _val_6 = Cast <to: int = 1> (input_0)
   _val_7 = Cast <to: int = 1> (input_1)
   _val_8 = Constant <value: tensor = int64 {0}> ()
   _val_9 = Cast <to: int = 1> (_val_8)
   _val_10 = Range (_val_3, _val_9, _val_5)
   _val_11 = CastLike (_val_6, _val_7)
   _val_12 = Sub (_val_7, _val_11)
   _val_13 = Sub (_val_9, _val_5)
   _val_14 = Div (_val_12, _val_13)
   _val_15 = Mul (_val_10, _val_14)
   _val_16 = Add (_val_15, _val_11)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (float input_0) => (float16[0] _val_16) {
   _val_1 = Constant <value: tensor = float {0}> ()
   _val_2 = Cast <to: int = 1> (_val_1)
   _val_3 = Constant <value: tensor = float {1}> ()
   _val_4 = Cast <to: int = 1> (_val_3)
   _val_5 = Cast <to: int = 1> (input_0)
   _val_6 = Constant <value: tensor = int64 {-3}> ()
   _val_7 = Cast <to: int = 1> (_val_6)
   _val_8 = Constant <value: tensor = int64 {0}> ()
   _val_9 = Cast <to: int = 1> (_val_8)
   _val_10 = Range (_val_2, _val_9, _val_4)
   _val_11 = CastLike (_val_5, _val_7)
   _val_12 = Sub (_val_7, _val_11)
   _val_13 = Sub (_val_9, _val_4)
   _val_14 = Div (_val_12, _val_13)
   _val_15 = Mul (_val_10, _val_14)
   _val_16 = Add (_val_15, _val_11)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (int64 input_1) => (float16[0] _val_16) {
   _val_1 = Constant <value: tensor = float {0}> ()
   _val_2 = Cast <to: int = 1> (_val_1)
   _val_3 = Constant <value: tensor = float {1}> ()
   _val_4 = Cast <to: int = 1> (_val_3)
   _val_5 = Constant <value: tensor = float {-2}> ()
   _val_6 = Cast <to: int = 1> (_val_5)
   _val_7 = Cast <to: int = 1> (input_1)
   _val_8 = Constant <value: tensor = int64 {0}> ()
   _val_9 = Cast <to: int = 1> (_val_8)
   _val_10 = Range (_val_2, _val_9, _val_4)
   _val_11 = CastLike (_val_6, _val_7)
   _val_12 = Sub (_val_7, _val_11)
   _val_13 = Sub (_val_9, _val_4)
   _val_14 = Div (_val_12, _val_13)
   _val_15 = Mul (_val_10, _val_14)
   _val_16 = Add (_val_15, _val_11)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (float input_0, int64 input_1) => (float16[50] _val_16) {
   _val_2 = Constant <value: tensor = float {0}> ()
   _val_3 = Cast <to: int = 1> (_val_2)
   _val_4 = Constant <value: tensor = float {1}> ()
   _val_5 = Cast <to: int = 1> (_val_4)
   _val_6 = Cast <to: int = 1> (input_0)
   _val_7 = Cast <to: int = 1> (input_1)
   _val_8 = Constant <value: tensor = int64 {50}> ()
   _val_9 = Cast <to: int = 1> (_val_8)
   _val_10 = Range (_val_3, _val_9, _val_5)
   _val_11 = CastLike (_val_6, _val_7)
   _val_12 = Sub (_val_7, _val_11)
   _val_13 = Sub (_val_9, _val_5)
   _val_14 = Div (_val_12, _val_13)
   _val_15 = Mul (_val_10, _val_14)
   _val_16 = Add (_val_15, _val_11)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (float input_0) => (float16[50] _val_16) {
   _val_1 = Constant <value: tensor = float {0}> ()
   _val_2 = Cast <to: int = 1> (_val_1)
   _val_3 = Constant <value: tensor = float {1}> ()
   _val_4 = Cast <to: int = 1> (_val_3)
   _val_5 = Cast <to: int = 1> (input_0)
   _val_6 = Constant <value: tensor = int64 {-3}> ()
   _val_7 = Cast <to: int = 1> (_val_6)
   _val_8 = Constant <value: tensor = int64 {50}> ()
   _val_9 = Cast <to: int = 1> (_val_8)
   _val_10 = Range (_val_2, _val_9, _val_4)
   _val_11 = CastLike (_val_5, _val_7)
   _val_12 = Sub (_val_7, _val_11)
   _val_13 = Sub (_val_9, _val_4)
   _val_14 = Div (_val_12, _val_13)
   _val_15 = Mul (_val_10, _val_14)
   _val_16 = Add (_val_15, _val_11)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (int64 input_1) => (float16[50] _val_16) {
   _val_1 = Constant <value: tensor = float {0}> ()
   _val_2 = Cast <to: int = 1> (_val_1)
   _val_3 = Constant <value: tensor = float {1}> ()
   _val_4 = Cast <to: int = 1> (_val_3)
   _val_5 = Constant <value: tensor = float {-2}> ()
   _val_6 = Cast <to: int = 1> (_val_5)
   _val_7 = Cast <to: int = 1> (input_1)
   _val_8 = Constant <value: tensor = int64 {50}> ()
   _val_9 = Cast <to: int = 1> (_val_8)
   _val_10 = Range (_val_2, _val_9, _val_4)
   _val_11 = CastLike (_val_6, _val_7)
   _val_12 = Sub (_val_7, _val_11)
   _val_13 = Sub (_val_9, _val_4)
   _val_14 = Div (_val_12, _val_13)
   _val_15 = Mul (_val_10, _val_14)
   _val_16 = Add (_val_15, _val_11)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (float input_0, int64 input_1) => (float16[0] _val_16) {
   _val_2 = Constant <value: tensor = float {0}> ()
   _val_3 = Cast <to: int = 1> (_val_2)
   _val_4 = Constant <value: tensor = float {1}> ()
   _val_5 = Cast <to: int = 1> (_val_4)
   _val_6 = Cast <to: int = 1> (input_0)
   _val_7 = Cast <to: int = 1> (input_1)
   _val_8 = Constant <value: tensor = int64 {0}> ()
   _val_9 = Cast <to: int = 1> (_val_8)
   _val_10 = Range (_val_3, _val_9, _val_5)
   _val_11 = CastLike (_val_6, _val_7)
   _val_12 = Sub (_val_7, _val_11)
   _val_13 = Sub (_val_9, _val_5)
   _val_14 = Div (_val_12, _val_13)
   _val_15 = Mul (_val_10, _val_14)
   _val_16 = Add (_val_15, _val_11)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (float input_0) => (float16[0] _val_16) {
   _val_1 = Constant <value: tensor = float {0}> ()
   _val_2 = Cast <to: int = 1> (_val_1)
   _val_3 = Constant <value: tensor = float {1}> ()
   _val_4 = Cast <to: int = 1> (_val_3)
   _val_5 = Cast <to: int = 1> (input_0)
   _val_6 = Constant <value: tensor = int64 {0}> ()
   _val_7 = Cast <to: int = 1> (_val_6)
   _val_8 = Constant <value: tensor = int64 {0}> ()
   _val_9 = Cast <to: int = 1> (_val_8)
   _val_10 = Range (_val_2, _val_9, _val_4)
   _val_11 = CastLike (_val_5, _val_7)
   _val_12 = Sub (_val_7, _val_11)
   _val_13 = Sub (_val_9, _val_4)
   _val_14 = Div (_val_12, _val_13)
   _val_15 = Mul (_val_10, _val_14)
   _val_16 = Add (_val_15, _val_11)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (int64 input_1) => (float16[0] _val_16) {
   _val_1 = Constant <value: tensor = float {0}> ()
   _val_2 = Cast <to: int = 1> (_val_1)
   _val_3 = Constant <value: tensor = float {1}> ()
   _val_4 = Cast <to: int = 1> (_val_3)
   _val_5 = Constant <value: tensor = float {-2}> ()
   _val_6 = Cast <to: int = 1> (_val_5)
   _val_7 = Cast <to: int = 1> (input_1)
   _val_8 = Constant <value: tensor = int64 {0}> ()
   _val_9 = Cast <to: int = 1> (_val_8)
   _val_10 = Range (_val_2, _val_9, _val_4)
   _val_11 = CastLike (_val_6, _val_7)
   _val_12 = Sub (_val_7, _val_11)
   _val_13 = Sub (_val_9, _val_4)
   _val_14 = Div (_val_12, _val_13)
   _val_15 = Mul (_val_10, _val_14)
   _val_16 = Add (_val_15, _val_11)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (float input_0, int64 input_1) => (float16[50] _val_16) {
   _val_2 = Constant <value: tensor = float {0}> ()
   _val_3 = Cast <to: int = 1> (_val_2)
   _val_4 = Constant <value: tensor = float {1}> ()
   _val_5 = Cast <to: int = 1> (_val_4)
   _val_6 = Cast <to: int = 1> (input_0)
   _val_7 = Cast <to: int = 1> (input_1)
   _val_8 = Constant <value: tensor = int64 {50}> ()
   _val_9 = Cast <to: int = 1> (_val_8)
   _val_10 = Range (_val_3, _val_9, _val_5)
   _val_11 = CastLike (_val_6, _val_7)
   _val_12 = Sub (_val_7, _val_11)
   _val_13 = Sub (_val_9, _val_5)
   _val_14 = Div (_val_12, _val_13)
   _val_15 = Mul (_val_10, _val_14)
   _val_16 = Add (_val_15, _val_11)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (float input_0) => (float16[50] _val_16) {
   _val_1 = Constant <value: tensor = float {0}> ()
   _val_2 = Cast <to: int = 1> (_val_1)
   _val_3 = Constant <value: tensor = float {1}> ()
   _val_4 = Cast <to: int = 1> (_val_3)
   _val_5 = Cast <to: int = 1> (input_0)
   _val_6 = Constant <value: tensor = int64 {0}> ()
   _val_7 = Cast <to: int = 1> (_val_6)
   _val_8 = Constant <value: tensor = int64 {50}> ()
   _val_9 = Cast <to: int = 1> (_val_8)
   _val_10 = Range (_val_2, _val_9, _val_4)
   _val_11 = CastLike (_val_5, _val_7)
   _val_12 = Sub (_val_7, _val_11)
   _val_13 = Sub (_val_9, _val_4)
   _val_14 = Div (_val_12, _val_13)
   _val_15 = Mul (_val_10, _val_14)
   _val_16 = Add (_val_15, _val_11)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (int64 input_1) => (float16[50] _val_16) {
   _val_1 = Constant <value: tensor = float {0}> ()
   _val_2 = Cast <to: int = 1> (_val_1)
   _val_3 = Constant <value: tensor = float {1}> ()
   _val_4 = Cast <to: int = 1> (_val_3)
   _val_5 = Constant <value: tensor = float {-2}> ()
   _val_6 = Cast <to: int = 1> (_val_5)
   _val_7 = Cast <to: int = 1> (input_1)
   _val_8 = Constant <value: tensor = int64 {50}> ()
   _val_9 = Cast <to: int = 1> (_val_8)
   _val_10 = Range (_val_2, _val_9, _val_4)
   _val_11 = CastLike (_val_6, _val_7)
   _val_12 = Sub (_val_7, _val_11)
   _val_13 = Sub (_val_9, _val_4)
   _val_14 = Div (_val_12, _val_13)
   _val_15 = Mul (_val_10, _val_14)
   _val_16 = Add (_val_15, _val_11)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (float input_0, int64 input_1) => (float16[0] _val_16) {
   _val_2 = Constant <value: tensor = float {0}> ()
   _val_3 = Cast <to: int = 1> (_val_2)
   _val_4 = Constant <value: tensor = float {1}> ()
   _val_5 = Cast <to: int = 1> (_val_4)
   _val_6 = Cast <to: int = 1> (input_0)
   _val_7 = Cast <to: int = 1> (input_1)
   _val_8 = Constant <value: tensor = int64 {0}> ()
   _val_9 = Cast <to: int = 1> (_val_8)
   _val_10 = Range (_val_3, _val_9, _val_5)
   _val_11 = CastLike (_val_6, _val_7)
   _val_12 = Sub (_val_7, _val_11)
   _val_13 = Sub (_val_9, _val_5)
   _val_14 = Div (_val_12, _val_13)
   _val_15 = Mul (_val_10, _val_14)
   _val_16 = Add (_val_15, _val_11)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (float input_0) => (float16[0] _val_16) {
   _val_1 = Constant <value: tensor = float {0}> ()
   _val_2 = Cast <to: int = 1> (_val_1)
   _val_3 = Constant <value: tensor = float {1}> ()
   _val_4 = Cast <to: int = 1> (_val_3)
   _val_5 = Cast <to: int = 1> (input_0)
   _val_6 = Constant <value: tensor = int64 {1}> ()
   _val_7 = Cast <to: int = 1> (_val_6)
   _val_8 = Constant <value: tensor = int64 {0}> ()
   _val_9 = Cast <to: int = 1> (_val_8)
   _val_10 = Range (_val_2, _val_9, _val_4)
   _val_11 = CastLike (_val_5, _val_7)
   _val_12 = Sub (_val_7, _val_11)
   _val_13 = Sub (_val_9, _val_4)
   _val_14 = Div (_val_12, _val_13)
   _val_15 = Mul (_val_10, _val_14)
   _val_16 = Add (_val_15, _val_11)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (int64 input_1) => (float16[0] _val_16) {
   _val_1 = Constant <value: tensor = float {0}> ()
   _val_2 = Cast <to: int = 1> (_val_1)
   _val_3 = Constant <value: tensor = float {1}> ()
   _val_4 = Cast <to: int = 1> (_val_3)
   _val_5 = Constant <value: tensor = float {-2}> ()
   _val_6 = Cast <to: int = 1> (_val_5)
   _val_7 = Cast <to: int = 1> (input_1)
   _val_8 = Constant <value: tensor = int64 {0}> ()
   _val_9 = Cast <to: int = 1> (_val_8)
   _val_10 = Range (_val_2, _val_9, _val_4)
   _val_11 = CastLike (_val_6, _val_7)
   _val_12 = Sub (_val_7, _val_11)
   _val_13 = Sub (_val_9, _val_4)
   _val_14 = Div (_val_12, _val_13)
   _val_15 = Mul (_val_10, _val_14)
   _val_16 = Add (_val_15, _val_11)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (float input_0, int64 input_1) => (float16[50] _val_16) {
   _val_2 = Constant <value: tensor = float {0}> ()
   _val_3 = Cast <to: int = 1> (_val_2)
   _val_4 = Constant <value: tensor = float {1}> ()
   _val_5 = Cast <to: int = 1> (_val_4)
   _val_6 = Cast <to: int = 1> (input_0)
   _val_7 = Cast <to: int = 1> (input_1)
   _val_8 = Constant <value: tensor = int64 {50}> ()
   _val_9 = Cast <to: int = 1> (_val_8)
   _val_10 = Range (_val_3, _val_9, _val_5)
   _val_11 = CastLike (_val_6, _val_7)
   _val_12 = Sub (_val_7, _val_11)
   _val_13 = Sub (_val_9, _val_5)
   _val_14 = Div (_val_12, _val_13)
   _val_15 = Mul (_val_10, _val_14)
   _val_16 = Add (_val_15, _val_11)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (float input_0) => (float16[50] _val_16) {
   _val_1 = Constant <value: tensor = float {0}> ()
   _val_2 = Cast <to: int = 1> (_val_1)
   _val_3 = Constant <value: tensor = float {1}> ()
   _val_4 = Cast <to: int = 1> (_val_3)
   _val_5 = Cast <to: int = 1> (input_0)
   _val_6 = Constant <value: tensor = int64 {1}> ()
   _val_7 = Cast <to: int = 1> (_val_6)
   _val_8 = Constant <value: tensor = int64 {50}> ()
   _val_9 = Cast <to: int = 1> (_val_8)
   _val_10 = Range (_val_2, _val_9, _val_4)
   _val_11 = CastLike (_val_5, _val_7)
   _val_12 = Sub (_val_7, _val_11)
   _val_13 = Sub (_val_9, _val_4)
   _val_14 = Div (_val_12, _val_13)
   _val_15 = Mul (_val_10, _val_14)
   _val_16 = Add (_val_15, _val_11)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (int64 input_1) => (float16[50] _val_16) {
   _val_1 = Constant <value: tensor = float {0}> ()
   _val_2 = Cast <to: int = 1> (_val_1)
   _val_3 = Constant <value: tensor = float {1}> ()
   _val_4 = Cast <to: int = 1> (_val_3)
   _val_5 = Constant <value: tensor = float {-2}> ()
   _val_6 = Cast <to: int = 1> (_val_5)
   _val_7 = Cast <to: int = 1> (input_1)
   _val_8 = Constant <value: tensor = int64 {50}> ()
   _val_9 = Cast <to: int = 1> (_val_8)
   _val_10 = Range (_val_2, _val_9, _val_4)
   _val_11 = CastLike (_val_6, _val_7)
   _val_12 = Sub (_val_7, _val_11)
   _val_13 = Sub (_val_9, _val_4)
   _val_14 = Div (_val_12, _val_13)
   _val_15 = Mul (_val_10, _val_14)
   _val_16 = Add (_val_15, _val_11)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (float input_0, int64 input_1) => (float16[0] _val_16) {
   _val_2 = Constant <value: tensor = float {0}> ()
   _val_3 = Cast <to: int = 1> (_val_2)
   _val_4 = Constant <value: tensor = float {1}> ()
   _val_5 = Cast <to: int = 1> (_val_4)
   _val_6 = Cast <to: int = 1> (input_0)
   _val_7 = Cast <to: int = 1> (input_1)
   _val_8 = Constant <value: tensor = int64 {0}> ()
   _val_9 = Cast <to: int = 1> (_val_8)
   _val_10 = Range (_val_3, _val_9, _val_5)
   _val_11 = CastLike (_val_6, _val_7)
   _val_12 = Sub (_val_7, _val_11)
   _val_13 = Sub (_val_9, _val_5)
   _val_14 = Div (_val_12, _val_13)
   _val_15 = Mul (_val_10, _val_14)
   _val_16 = Add (_val_15, _val_11)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (float input_0) => (float16[0] _val_16) {
   _val_1 = Constant <value: tensor = float {0}> ()
   _val_2 = Cast <to: int = 1> (_val_1)
   _val_3 = Constant <value: tensor = float {1}> ()
   _val_4 = Cast <to: int = 1> (_val_3)
   _val_5 = Cast <to: int = 1> (input_0)
   _val_6 = Constant <value: tensor = int64 {4}> ()
   _val_7 = Cast <to: int = 1> (_val_6)
   _val_8 = Constant <value: tensor = int64 {0}> ()
   _val_9 = Cast <to: int = 1> (_val_8)
   _val_10 = Range (_val_2, _val_9, _val_4)
   _val_11 = CastLike (_val_5, _val_7)
   _val_12 = Sub (_val_7, _val_11)
   _val_13 = Sub (_val_9, _val_4)
   _val_14 = Div (_val_12, _val_13)
   _val_15 = Mul (_val_10, _val_14)
   _val_16 = Add (_val_15, _val_11)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (int64 input_1) => (float16[0] _val_16) {
   _val_1 = Constant <value: tensor = float {0}> ()
   _val_2 = Cast <to: int = 1> (_val_1)
   _val_3 = Constant <value: tensor = float {1}> ()
   _val_4 = Cast <to: int = 1> (_val_3)
   _val_5 = Constant <value: tensor = float {-2}> ()
   _val_6 = Cast <to: int = 1> (_val_5)
   _val_7 = Cast <to: int = 1> (input_1)
   _val_8 = Constant <value: tensor = int64 {0}> ()
   _val_9 = Cast <to: int = 1> (_val_8)
   _val_10 = Range (_val_2, _val_9, _val_4)
   _val_11 = CastLike (_val_6, _val_7)
   _val_12 = Sub (_val_7, _val_11)
   _val_13 = Sub (_val_9, _val_4)
   _val_14 = Div (_val_12, _val_13)
   _val_15 = Mul (_val_10, _val_14)
   _val_16 = Add (_val_15, _val_11)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (float input_0, int64 input_1) => (float16[50] _val_16) {
   _val_2 = Constant <value: tensor = float {0}> ()
   _val_3 = Cast <to: int = 1> (_val_2)
   _val_4 = Constant <value: tensor = float {1}> ()
   _val_5 = Cast <to: int = 1> (_val_4)
   _val_6 = Cast <to: int = 1> (input_0)
   _val_7 = Cast <to: int = 1> (input_1)
   _val_8 = Constant <value: tensor = int64 {50}> ()
   _val_9 = Cast <to: int = 1> (_val_8)
   _val_10 = Range (_val_3, _val_9, _val_5)
   _val_11 = CastLike (_val_6, _val_7)
   _val_12 = Sub (_val_7, _val_11)
   _val_13 = Sub (_val_9, _val_5)
   _val_14 = Div (_val_12, _val_13)
   _val_15 = Mul (_val_10, _val_14)
   _val_16 = Add (_val_15, _val_11)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (float input_0) => (float16[50] _val_16) {
   _val_1 = Constant <value: tensor = float {0}> ()
   _val_2 = Cast <to: int = 1> (_val_1)
   _val_3 = Constant <value: tensor = float {1}> ()
   _val_4 = Cast <to: int = 1> (_val_3)
   _val_5 = Cast <to: int = 1> (input_0)
   _val_6 = Constant <value: tensor = int64 {4}> ()
   _val_7 = Cast <to: int = 1> (_val_6)
   _val_8 = Constant <value: tensor = int64 {50}> ()
   _val_9 = Cast <to: int = 1> (_val_8)
   _val_10 = Range (_val_2, _val_9, _val_4)
   _val_11 = CastLike (_val_5, _val_7)
   _val_12 = Sub (_val_7, _val_11)
   _val_13 = Sub (_val_9, _val_4)
   _val_14 = Div (_val_12, _val_13)
   _val_15 = Mul (_val_10, _val_14)
   _val_16 = Add (_val_15, _val_11)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (int64 input_1) => (float16[50] _val_16) {
   _val_1 = Constant <value: tensor = float {0}> ()
   _val_2 = Cast <to: int = 1> (_val_1)
   _val_3 = Constant <value: tensor = float {1}> ()
   _val_4 = Cast <to: int = 1> (_val_3)
   _val_5 = Constant <value: tensor = float {-2}> ()
   _val_6 = Cast <to: int = 1> (_val_5)
   _val_7 = Cast <to: int = 1> (input_1)
   _val_8 = Constant <value: tensor = int64 {50}> ()
   _val_9 = Cast <to: int = 1> (_val_8)
   _val_10 = Range (_val_2, _val_9, _val_4)
   _val_11 = CastLike (_val_6, _val_7)
   _val_12 = Sub (_val_7, _val_11)
   _val_13 = Sub (_val_9, _val_4)
   _val_14 = Div (_val_12, _val_13)
   _val_15 = Mul (_val_10, _val_14)
   _val_16 = Add (_val_15, _val_11)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (float input_0, int64 input_1) => (float16[0] _val_16) {
   _val_2 = Constant <value: tensor = float {0}> ()
   _val_3 = Cast <to: int = 1> (_val_2)
   _val_4 = Constant <value: tensor = float {1}> ()
   _val_5 = Cast <to: int = 1> (_val_4)
   _val_6 = Cast <to: int = 1> (input_0)
   _val_7 = Cast <to: int = 1> (input_1)
   _val_8 = Constant <value: tensor = int64 {0}> ()
   _val_9 = Cast <to: int = 1> (_val_8)
   _val_10 = Range (_val_3, _val_9, _val_5)
   _val_11 = CastLike (_val_6, _val_7)
   _val_12 = Sub (_val_7, _val_11)
   _val_13 = Sub (_val_9, _val_5)
   _val_14 = Div (_val_12, _val_13)
   _val_15 = Mul (_val_10, _val_14)
   _val_16 = Add (_val_15, _val_11)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (float input_0) => (float16[0] _val_16) {
   _val_1 = Constant <value: tensor = float {0}> ()
   _val_2 = Cast <to: int = 1> (_val_1)
   _val_3 = Constant <value: tensor = float {1}> ()
   _val_4 = Cast <to: int = 1> (_val_3)
   _val_5 = Cast <to: int = 1> (input_0)
   _val_6 = Constant <value: tensor = int64 {50}> ()
   _val_7 = Cast <to: int = 1> (_val_6)
   _val_8 = Constant <value: tensor = int64 {0}> ()
   _val_9 = Cast <to: int = 1> (_val_8)
   _val_10 = Range (_val_2, _val_9, _val_4)
   _val_11 = CastLike (_val_5, _val_7)
   _val_12 = Sub (_val_7, _val_11)
   _val_13 = Sub (_val_9, _val_4)
   _val_14 = Div (_val_12, _val_13)
   _val_15 = Mul (_val_10, _val_14)
   _val_16 = Add (_val_15, _val_11)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (int64 input_1) => (float16[0] _val_16) {
   _val_1 = Constant <value: tensor = float {0}> ()
   _val_2 = Cast <to: int = 1> (_val_1)
   _val_3 = Constant <value: tensor = float {1}> ()
   _val_4 = Cast <to: int = 1> (_val_3)
   _val_5 = Constant <value: tensor = float {-2}> ()
   _val_6 = Cast <to: int = 1> (_val_5)
   _val_7 = Cast <to: int = 1> (input_1)
   _val_8 = Constant <value: tensor = int64 {0}> ()
   _val_9 = Cast <to: int = 1> (_val_8)
   _val_10 = Range (_val_2, _val_9, _val_4)
   _val_11 = CastLike (_val_6, _val_7)
   _val_12 = Sub (_val_7, _val_11)
   _val_13 = Sub (_val_9, _val_4)
   _val_14 = Div (_val_12, _val_13)
   _val_15 = Mul (_val_10, _val_14)
   _val_16 = Add (_val_15, _val_11)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (float input_0, int64 input_1) => (float16[50] _val_16) {
   _val_2 = Constant <value: tensor = float {0}> ()
   _val_3 = Cast <to: int = 1> (_val_2)
   _val_4 = Constant <value: tensor = float {1}> ()
   _val_5 = Cast <to: int = 1> (_val_4)
   _val_6 = Cast <to: int = 1> (input_0)
   _val_7 = Cast <to: int = 1> (input_1)
   _val_8 = Constant <value: tensor = int64 {50}> ()
   _val_9 = Cast <to: int = 1> (_val_8)
   _val_10 = Range (_val_3, _val_9, _val_5)
   _val_11 = CastLike (_val_6, _val_7)
   _val_12 = Sub (_val_7, _val_11)
   _val_13 = Sub (_val_9, _val_5)
   _val_14 = Div (_val_12, _val_13)
   _val_15 = Mul (_val_10, _val_14)
   _val_16 = Add (_val_15, _val_11)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (float input_0) => (float16[50] _val_16) {
   _val_1 = Constant <value: tensor = float {0}> ()
   _val_2 = Cast <to: int = 1> (_val_1)
   _val_3 = Constant <value: tensor = float {1}> ()
   _val_4 = Cast <to: int = 1> (_val_3)
   _val_5 = Cast <to: int = 1> (input_0)
   _val_6 = Constant <value: tensor = int64 {50}> ()
   _val_7 = Cast <to: int = 1> (_val_6)
   _val_8 = Constant <value: tensor = int64 {50}> ()
   _val_9 = Cast <to: int = 1> (_val_8)
   _val_10 = Range (_val_2, _val_9, _val_4)
   _val_11 = CastLike (_val_5, _val_7)
   _val_12 = Sub (_val_7, _val_11)
   _val_13 = Sub (_val_9, _val_4)
   _val_14 = Div (_val_12, _val_13)
   _val_15 = Mul (_val_10, _val_14)
   _val_16 = Add (_val_15, _val_11)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (int64 input_1) => (float16[50] _val_16) {
   _val_1 = Constant <value: tensor = float {0}> ()
   _val_2 = Cast <to: int = 1> (_val_1)
   _val_3 = Constant <value: tensor = float {1}> ()
   _val_4 = Cast <to: int = 1> (_val_3)
   _val_5 = Constant <value: tensor = float {-2}> ()
   _val_6 = Cast <to: int = 1> (_val_5)
   _val_7 = Cast <to: int = 1> (input_1)
   _val_8 = Constant <value: tensor = int64 {50}> ()
   _val_9 = Cast <to: int = 1> (_val_8)
   _val_10 = Range (_val_2, _val_9, _val_4)
   _val_11 = CastLike (_val_6, _val_7)
   _val_12 = Sub (_val_7, _val_11)
   _val_13 = Sub (_val_9, _val_4)
   _val_14 = Div (_val_12, _val_13)
   _val_15 = Mul (_val_10, _val_14)
   _val_16 = Add (_val_15, _val_11)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (int64 input_0, int64 input_1) => (float16[0] _val_16) {
   _val_2 = Constant <value: tensor = float {0}> ()
   _val_3 = Cast <to: int = 1> (_val_2)
   _val_4 = Constant <value: tensor = float {1}> ()
   _val_5 = Cast <to: int = 1> (_val_4)
   _val_6 = Cast <to: int = 1> (input_0)
   _val_7 = Cast <to: int = 1> (input_1)
   _val_8 = Constant <value: tensor = int64 {0}> ()
   _val_9 = Cast <to: int = 1> (_val_8)
   _val_10 = Range (_val_3, _val_9, _val_5)
   _val_11 = CastLike (_val_6, _val_7)
   _val_12 = Sub (_val_7, _val_11)
   _val_13 = Sub (_val_9, _val_5)
   _val_14 = Div (_val_12, _val_13)
   _val_15 = Mul (_val_10, _val_14)
   _val_16 = Add (_val_15, _val_11)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (int64 input_0) => (float16[0] _val_16) {
   _val_1 = Constant <value: tensor = float {0}> ()
   _val_2 = Cast <to: int = 1> (_val_1)
   _val_3 = Constant <value: tensor = float {1}> ()
   _val_4 = Cast <to: int = 1> (_val_3)
   _val_5 = Cast <to: int = 1> (input_0)
   _val_6 = Constant <value: tensor = int64 {-3}> ()
   _val_7 = Cast <to: int = 1> (_val_6)
   _val_8 = Constant <value: tensor = int64 {0}> ()
   _val_9 = Cast <to: int = 1> (_val_8)
   _val_10 = Range (_val_2, _val_9, _val_4)
   _val_11 = CastLike (_val_5, _val_7)
   _val_12 = Sub (_val_7, _val_11)
   _val_13 = Sub (_val_9, _val_4)
   _val_14 = Div (_val_12, _val_13)
   _val_15 = Mul (_val_10, _val_14)
   _val_16 = Add (_val_15, _val_11)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (int64 input_1) => (float16[0] _val_16) {
   _val_1 = Constant <value: tensor = float {0}> ()
   _val_2 = Cast <to: int = 1> (_val_1)
   _val_3 = Constant <value: tensor = float {1}> ()
   _val_4 = Cast <to: int = 1> (_val_3)
   _val_5 = Constant <value: tensor = int64 {0}> ()
   _val_6 = Cast <to: int = 1> (_val_5)
   _val_7 = Cast <to: int = 1> (input_1)
   _val_8 = Constant <value: tensor = int64 {0}> ()
   _val_9 = Cast <to: int = 1> (_val_8)
   _val_10 = Range (_val_2, _val_9, _val_4)
   _val_11 = CastLike (_val_6, _val_7)
   _val_12 = Sub (_val_7, _val_11)
   _val_13 = Sub (_val_9, _val_4)
   _val_14 = Div (_val_12, _val_13)
   _val_15 = Mul (_val_10, _val_14)
   _val_16 = Add (_val_15, _val_11)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (int64 input_0, int64 input_1) => (float16[50] _val_16) {
   _val_2 = Constant <value: tensor = float {0}> ()
   _val_3 = Cast <to: int = 1> (_val_2)
   _val_4 = Constant <value: tensor = float {1}> ()
   _val_5 = Cast <to: int = 1> (_val_4)
   _val_6 = Cast <to: int = 1> (input_0)
   _val_7 = Cast <to: int = 1> (input_1)
   _val_8 = Constant <value: tensor = int64 {50}> ()
   _val_9 = Cast <to: int = 1> (_val_8)
   _val_10 = Range (_val_3, _val_9, _val_5)
   _val_11 = CastLike (_val_6, _val_7)
   _val_12 = Sub (_val_7, _val_11)
   _val_13 = Sub (_val_9, _val_5)
   _val_14 = Div (_val_12, _val_13)
   _val_15 = Mul (_val_10, _val_14)
   _val_16 = Add (_val_15, _val_11)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (int64 input_0) => (float16[50] _val_16) {
   _val_1 = Constant <value: tensor = float {0}> ()
   _val_2 = Cast <to: int = 1> (_val_1)
   _val_3 = Constant <value: tensor = float {1}> ()
   _val_4 = Cast <to: int = 1> (_val_3)
   _val_5 = Cast <to: int = 1> (input_0)
   _val_6 = Constant <value: tensor = int64 {-3}> ()
   _val_7 = Cast <to: int = 1> (_val_6)
   _val_8 = Constant <value: tensor = int64 {50}> ()
   _val_9 = Cast <to: int = 1> (_val_8)
   _val_10 = Range (_val_2, _val_9, _val_4)
   _val_11 = CastLike (_val_5, _val_7)
   _val_12 = Sub (_val_7, _val_11)
   _val_13 = Sub (_val_9, _val_4)
   _val_14 = Div (_val_12, _val_13)
   _val_15 = Mul (_val_10, _val_14)
   _val_16 = Add (_val_15, _val_11)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (int64 input_1) => (float16[50] _val_16) {
   _val_1 = Constant <value: tensor = float {0}> ()
   _val_2 = Cast <to: int = 1> (_val_1)
   _val_3 = Constant <value: tensor = float {1}> ()
   _val_4 = Cast <to: int = 1> (_val_3)
   _val_5 = Constant <value: tensor = int64 {0}> ()
   _val_6 = Cast <to: int = 1> (_val_5)
   _val_7 = Cast <to: int = 1> (input_1)
   _val_8 = Constant <value: tensor = int64 {50}> ()
   _val_9 = Cast <to: int = 1> (_val_8)
   _val_10 = Range (_val_2, _val_9, _val_4)
   _val_11 = CastLike (_val_6, _val_7)
   _val_12 = Sub (_val_7, _val_11)
   _val_13 = Sub (_val_9, _val_4)
   _val_14 = Div (_val_12, _val_13)
   _val_15 = Mul (_val_10, _val_14)
   _val_16 = Add (_val_15, _val_11)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (int64 input_0, int64 input_1) => (float16[0] _val_16) {
   _val_2 = Constant <value: tensor = float {0}> ()
   _val_3 = Cast <to: int = 1> (_val_2)
   _val_4 = Constant <value: tensor = float {1}> ()
   _val_5 = Cast <to: int = 1> (_val_4)
   _val_6 = Cast <to: int = 1> (input_0)
   _val_7 = Cast <to: int = 1> (input_1)
   _val_8 = Constant <value: tensor = int64 {0}> ()
   _val_9 = Cast <to: int = 1> (_val_8)
   _val_10 = Range (_val_3, _val_9, _val_5)
   _val_11 = CastLike (_val_6, _val_7)
   _val_12 = Sub (_val_7, _val_11)
   _val_13 = Sub (_val_9, _val_5)
   _val_14 = Div (_val_12, _val_13)
   _…l_14 = Div (_val_12, _val_13)
E      _val_15 = Mul (_val_10, _val_14)
E      _val_16 = Add (_val_15, _val_11)
E   }
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:521: in _capture_graph_and_evaluate_torch_script_evaluator
    onnx.checker.check_model(onnx_model, full_check=True)
.nox\test_torch_nightly\lib\site-packages\onnx\checker.py:148: in check_model
    C.check_model(protobuf_string, full_check, skip_opset_compatibility_check)
E   onnx.onnx_cpp2py_export.shape_inference.InferenceError: [ShapeInferenceError] (op_type:Add, node name: Add_15): [TypeInferenceError] Inferred elem type differs from existing elem type: (1) vs (10)

The above exception was the direct cause of the following exception:
onnxscript\tests\function_libs\torch_lib\ops_test.py:230: in run_test_output_match
    function_output = function_executor(test_name, reference_torch_outputs)(
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:523: in _capture_graph_and_evaluate_torch_script_evaluator
    raise AssertionError(
E   AssertionError: ONNX model is invalid. Model:
E   <
E      ir_version: 8,
E      opset_import: ["" : 18],
E      producer_name: "pytorch",
E      producer_version: "2.2.0"
E   >
E   main_graph (int64 input_1) => (float16[0] _val_16) {
E      _val_1 = Constant <value: tensor = float {0}> ()
E      _val_2 = Cast <to: int = 1> (_val_1)
E      _val_3 = Constant <value: tensor = float {1}> ()
E      _val_4 = Cast <to: int = 1> (_val_3)
E      _val_5 = Constant <value: tensor = int64 {50}> ()
E      _val_6 = Cast <to: int = 1> (_val_5)
E      _val_7 = Cast <to: int = 1> (input_1)
E      _val_8 = Constant <value: tensor = int64 {0}> ()
E      _val_9 = Cast <to: int = 1> (_val_8)
E      _val_10 = Range (_val_2, _val_9, _val_4)
E      _val_11 = CastLike (_val_6, _val_7)
E      _val_12 = Sub (_val_7, _val_11)
E      _val_13 = Sub (_val_9, _val_4)
E      _val_14 = Div (_val_12, _val_13)
E      _val_15 = Mul (_val_10, _val_14)
E      _val_16 = Add (_val_15, _val_11)
E   }
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:521: in _capture_graph_and_evaluate_torch_script_evaluator
    onnx.checker.check_model(onnx_model, full_check=True)
.nox\test_torch_nightly\lib\site-packages\onnx\checker.py:148: in check_model
    C.check_model(protobuf_string, full_check, skip_opset_compatibility_check)
E   onnx.onnx_cpp2py_export.shape_inference.InferenceError: [ShapeInferenceError] (op_type:Add, node name: Add_14): [TypeInferenceError] Inferred elem type differs from existing elem type: (1) vs (10)

The above exception was the direct cause of the following exception:
onnxscript\tests\function_libs\torch_lib\ops_test.py:230: in run_test_output_match
    function_output = function_executor(test_name, reference_torch_outputs)(
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:523: in _capture_graph_and_evaluate_torch_script_evaluator
    raise AssertionError(
E   AssertionError: ONNX model is invalid. Model:
E   <
E      ir_version: 8,
E      opset_import: ["" : 18],
E      producer_name: "pytorch",
E      producer_version: "2.2.0"
E   >
E   main_graph (int64 input_0, int64 input_1) => (float16[50] _val_16) {
E      _val_2 = Constant <value: tensor = float {0}> ()
E      _val_3 = Cast <to: int = 1> (_val_2)
E      _val_4 = Constant <value: tensor = float {1}> ()
E      _val_5 = Cast <to: int = 1> (_val_4)
E      _val_6 = Cast <to: int = 1> (input_0)
E      _val_7 = Cast <to: int = 1> (input_1)
E      _val_8 = Constant <value: tensor = int64 {50}> ()
E      _val_9 = Cast <to: int = 1> (_val_8)
E      _val_10 = Range (_val_3, _val_9, _val_5)
E      _val_11 = CastLike (_val_6, _val_7)
E      _val_12 = Sub (_val_7, _val_11)
E      _val_13 = Sub (_val_9, _val_5)
E      _val_14 = Div (_val_12, _val_13)
E      _val_15 = Mul (_val_10, _val_14)
E      _val_16 = Add (_val_15, _val_11)
E   }
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:521: in _capture_graph_and_evaluate_torch_script_evaluator
    onnx.checker.check_model(onnx_model, full_check=True)
.nox\test_torch_nightly\lib\site-packages\onnx\checker.py:148: in check_model
    C.check_model(protobuf_string, full_check, skip_opset_compatibility_check)
E   onnx.onnx_cpp2py_export.shape_inference.InferenceError: [ShapeInferenceError] (op_type:Add, node name: Add_15): [TypeInferenceError] Inferred elem type differs from existing elem type: (1) vs (10)

The above exception was the direct cause of the following exception:
onnxscript\tests\function_libs\torch_lib\ops_test.py:230: in run_test_output_match
    function_output = function_executor(test_name, reference_torch_outputs)(
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:523: in _capture_graph_and_evaluate_torch_script_evaluator
    raise AssertionError(
E   AssertionError: ONNX model is invalid. Model:
E   <
E      ir_version: 8,
E      opset_import: ["" : 18],
E      producer_name: "pytorch",
E      producer_version: "2.2.0"
E   >
E   main_graph (int64 input_0) => (float16[50] _val_16) {
E      _val_1 = Constant <value: tensor = float {0}> ()
E      _val_2 = Cast <to: int = 1> (_val_1)
E      _val_3 = Constant <value: tensor = float {1}> ()
E      _val_4 = Cast <to: int = 1> (_val_3)
E      _val_5 = Cast <to: int = 1> (input_0)
E      _val_6 = Constant <value: tensor = int64 {1}> ()
E      _val_7 = Cast <to: int = 1> (_val_6)
E      _val_8 = Constant <value: tensor = int64 {50}> ()
E      _val_9 = Cast <to: int = 1> (_val_8)
E      _val_10 = Range (_val_2, _val_9, _val_4)
E      _val_11 = CastLike (_val_5, _val_7)
E      _val_12 = Sub (_val_7, _val_11)
E      _val_13 = Sub (_val_9, _val_4)
E      _val_14 = Div (_val_12, _val_13)
E      _val_15 = Mul (_val_10, _val_14)
E      _val_16 = Add (_val_15, _val_11)
E   }
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:521: in _capture_graph_and_evaluate_torch_script_evaluator
    onnx.checker.check_model(onnx_model, full_check=True)
.nox\test_torch_nightly\lib\site-packages\onnx\checker.py:148: in check_model
    C.check_model(protobuf_string, full_check, skip_opset_compatibility_check)
E   onnx.onnx_cpp2py_export.shape_inference.InferenceError: [ShapeInferenceError] (op_type:Add, node name: Add_15): [TypeInferenceError] Inferred elem type differs from existing elem type: (1) vs (10)

The above exception was the direct cause of the following exception:
onnxscript\tests\function_libs\torch_lib\ops_test.py:230: in run_test_output_match
    function_output = function_executor(test_name, reference_torch_outputs)(
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:523: in _capture_graph_and_evaluate_torch_script_evaluator
    raise AssertionError(
E   AssertionError: ONNX model is invalid. Model:
E   <
E      ir_version: 8,
E      opset_import: ["" : 18],
E      producer_name: "pytorch",
E      producer_version: "2.2.0"
E   >
E   main_graph (int64 input_1) => (float16[50] _val_16) {
E      _val_1 = Constant <value: tensor = float {0}> ()
E      _val_2 = Cast <to: int = 1> (_val_1)
E      _val_3 = Constant <value: tensor = float {1}> ()
E      _val_4 = Cast <to: int = 1> (_val_3)
E      _val_5 = Constant <value: tensor = int64 {50}> ()
E      _val_6 = Cast <to: int = 1> (_val_5)
E      _val_7 = Cast <to: int = 1> (input_1)
E      _val_8 = Constant <value: tensor = int64 {50}> ()
E      _val_9 = Cast <to: int = 1> (_val_8)
E      _val_10 = Range (_val_2, _val_9, _val_4)
E      _val_11 = CastLike (_val_6, _val_7)
E      _val_12 = Sub (_val_7, _val_11)
E      _val_13 = Sub (_val_9, _val_4)
E      _val_14 = Div (_val_12, _val_13)
E      _val_15 = Mul (_val_10, _val_14)
E      _val_16 = Add (_val_15, _val_11)
E   }
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:521: in _capture_graph_and_evaluate_torch_script_evaluator
    onnx.checker.check_model(onnx_model, full_check=True)
.nox\test_torch_nightly\lib\site-packages\onnx\checker.py:148: in check_model
    C.check_model(protobuf_string, full_check, skip_opset_compatibility_check)
E   onnx.onnx_cpp2py_export.shape_inference.InferenceError: [ShapeInferenceError] (op_type:Add, node name: Add_14): [TypeInferenceError] Inferred elem type differs from existing elem type: (1) vs (10)

The above exception was the direct cause of the following exception:
onnxscript\tests\function_libs\torch_lib\ops_test.py:230: in run_test_output_match
    function_output = function_executor(test_name, reference_torch_outputs)(
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:523: in _capture_graph_and_evaluate_torch_script_evaluator
    raise AssertionError(
E   AssertionError: ONNX model is invalid. Model:
E   <
E      ir_version: 8,
E      opset_import: ["" : 18],
E      producer_name: "pytorch",
E      producer_version: "2.2.0"
E   >
E   main_graph (int64 input_0, int64 input_1) => (float16[0] _val_16) {
E      _val_2 = Constant <value: tensor = float {0}> ()
E      _val_3 = Cast <to: int = 1> (_val_2)
E      _val_4 = Constant <value: tensor = float {1}> ()
E      _val_5 = Cast <to: int = 1> (_val_4)
E      _val_6 = Cast <to: int = 1> (input_0)
E      _val_7 = Cast <to: int = 1> (input_1)
E      _val_8 = Constant <value: tensor = int64 {0}> ()
E      _val_9 = Cast <to: int = 1> (_val_8)
E      _val_10 = Range (_val_3, _val_9, _val_5)
E      _val_11 = CastLike (_val_6, _val_7)
E      _val_12 = Sub (_val_7, _val_11)
E      _val_13 = Sub (_val_9, _val_5)
E      _val_14 = Div (_val_12, _val_13)
E      _val_15 = Mul (_val_10, _val_14)
E      _val_16 = Add (_val_15, _val_11)
E   }
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:521: in _capture_graph_and_evaluate_torch_script_evaluator
    onnx.checker.check_model(onnx_model, full_check=True)
.nox\test_torch_nightly\lib\site-packages\onnx\checker.py:148: in check_model
    C.check_model(protobuf_string, full_check, skip_opset_compatibility_check)
E   onnx.onnx_cpp2py_export.shape_inference.InferenceError: [ShapeInferenceError] (op_type:Add, node name: Add_15): [TypeInferenceError] Inferred elem type differs from existing elem type: (1) vs (10)

The above exception was the direct cause of the following exception:
onnxscript\tests\function_libs\torch_lib\ops_test.py:230: in run_test_output_match
    function_output = function_executor(test_name, reference_torch_outputs)(
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:523: in _capture_graph_and_evaluate_torch_script_evaluator
    raise AssertionError(
E   AssertionError: ONNX model is invalid. Model:
E   <
E      ir_version: 8,
E      opset_import: ["" : 18],
E      producer_name: "pytorch",
E      producer_version: "2.2.0"
E   >
E   main_graph (int64 input_0) => (float16[0] _val_16) {
E      _val_1 = Constant <value: tensor = float {0}> ()
E      _val_2 = Cast <to: int = 1> (_val_1)
E      _val_3 = Constant <value: tensor = float {1}> ()
E      _val_4 = Cast <to: int = 1> (_val_3)
E      _val_5 = Cast <to: int = 1> (input_0)
E      _val_6 = Constant <value: tensor = int64 {4}> ()
E      _val_7 = Cast <to: int = 1> (_val_6)
E      _val_8 = Constant <value: tensor = int64 {0}> ()
E      _val_9 = Cast <to: int = 1> (_val_8)
E      _val_10 = Range (_val_2, _val_9, _val_4)
E      _val_11 = CastLike (_val_5, _val_7)
E      _val_12 = Sub (_val_7, _val_11)
E      _val_13 = Sub (_val_9, _val_4)
E      _val_14 = Div (_val_12, _val_13)
E      _val_15 = Mul (_val_10, _val_14)
E      _val_16 = Add (_val_15, _val_11)
E   }
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:521: in _capture_graph_and_evaluate_torch_script_evaluator
    onnx.checker.check_model(onnx_model, full_check=True)
.nox\test_torch_nightly\lib\site-packages\onnx\checker.py:148: in check_model
    C.check_model(protobuf_string, full_check, skip_opset_compatibility_check)
E   onnx.onnx_cpp2py_export.shape_inference.InferenceError: [ShapeInferenceError] (op_type:Add, node name: Add_15): [TypeInferenceError] Inferred elem type differs from existing elem type: (1) vs (10)

The above exception was the direct cause of the following exception:
onnxscript\tests\function_libs\torch_lib\ops_test.py:230: in run_test_output_match
    function_output = function_executor(test_name, reference_torch_outputs)(
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:523: in _capture_graph_and_evaluate_torch_script_evaluator
    raise AssertionError(
E   AssertionError: ONNX model is invalid. Model:
E   <
E      ir_version: 8,
E      opset_import: ["" : 18],
E      producer_name: "pytorch",
E      producer_version: "2.2.0"
E   >
E   main_graph (int64 input_1) => (float16[0] _val_16) {
E      _val_1 = Constant <value: tensor = float {0}> ()
E      _val_2 = Cast <to: int = 1> (_val_1)
E      _val_3 = Constant <value: tensor = float {1}> ()
E      _val_4 = Cast <to: int = 1> (_val_3)
E      _val_5 = Constant <value: tensor = int64 {50}> ()
E      _val_6 = Cast <to: int = 1> (_val_5)
E      _val_7 = Cast <to: int = 1> (input_1)
E      _val_8 = Constant <value: tensor = int64 {0}> ()
E      _val_9 = Cast <to: int = 1> (_val_8)
E      _val_10 = Range (_val_2, _val_9, _val_4)
E      _val_11 = CastLike (_val_6, _val_7)
E      _val_12 = Sub (_val_7, _val_11)
E      _val_13 = Sub (_val_9, _val_4)
E      _val_14 = Div (_val_12, _val_13)
E      _val_15 = Mul (_val_10, _val_14)
E      _val_16 = Add (_val_15, _val_11)
E   }
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:521: in _capture_graph_and_evaluate_torch_script_evaluator
    onnx.checker.check_model(onnx_model, full_check=True)
.nox\test_torch_nightly\lib\site-packages\onnx\checker.py:148: in check_model
    C.check_model(protobuf_string, full_check, skip_opset_compatibility_check)
E   onnx.onnx_cpp2py_export.shape_inference.InferenceError: [ShapeInferenceError] (op_type:Add, node name: Add_14): [TypeInferenceError] Inferred elem type differs from existing elem type: (1) vs (10)

The above exception was the direct cause of the following exception:
onnxscript\tests\function_libs\torch_lib\ops_test.py:230: in run_test_output_match
    function_output = function_executor(test_name, reference_torch_outputs)(
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:523: in _capture_graph_and_evaluate_torch_script_evaluator
    raise AssertionError(
E   AssertionError: ONNX model is invalid. Model:
E   <
E      ir_version: 8,
E      opset_import: ["" : 18],
E      producer_name: "pytorch",
E      producer_version: "2.2.0"
E   >
E   main_graph (int64 input_0, int64 input_1) => (float16[50] _val_16) {
E      _val_2 = Constant <value: tensor = float {0}> ()
E      _val_3 = Cast <to: int = 1> (_val_2)
E      _val_4 = Constant <value: tensor = float {1}> ()
E      _val_5 = Cast <to: int = 1> (_val_4)
E      _val_6 = Cast <to: int = 1> (input_0)
E      _val_7 = Cast <to: int = 1> (input_1)
E      _val_8 = Constant <value: tensor = int64 {50}> ()
E      _val_9 = Cast <to: int = 1> (_val_8)
E      _val_10 = Range (_val_3, _val_9, _val_5)
E      _val_11 = CastLike (_val_6, _val_7)
E      _val_12 = Sub (_val_7, _val_11)
E      _val_13 = Sub (_val_9, _val_5)
E      _val_14 = Div (_val_12, _val_13)
E      _val_15 = Mul (_val_10, _val_14)
E      _val_16 = Add (_val_15, _val_11)
E   }
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:521: in _capture_graph_and_evaluate_torch_script_evaluator
    onnx.checker.check_model(onnx_model, full_check=True)
.nox\test_torch_nightly\lib\site-packages\onnx\checker.py:148: in check_model
    C.check_model(protobuf_string, full_check, skip_opset_compatibility_check)
E   onnx.onnx_cpp2py_export.shape_inference.InferenceError: [ShapeInferenceError] (op_type:Add, node name: Add_15): [TypeInferenceError] Inferred elem type differs from existing elem type: (1) vs (10)

The above exception was the direct cause of the following exception:
onnxscript\tests\function_libs\torch_lib\ops_test.py:230: in run_test_output_match
    function_output = function_executor(test_name, reference_torch_outputs)(
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:523: in _capture_graph_and_evaluate_torch_script_evaluator
    raise AssertionError(
E   AssertionError: ONNX model is invalid. Model:
E   <
E      ir_version: 8,
E      opset_import: ["" : 18],
E      producer_name: "pytorch",
E      producer_version: "2.2.0"
E   >
E   main_graph (int64 input_0) => (float16[50] _val_16) {
E      _val_1 = Constant <value: tensor = float {0}> ()
E      _val_2 = Cast <to: int = 1> (_val_1)
E      _val_3 = Constant <value: tensor = float {1}> ()
E      _val_4 = Cast <to: int = 1> (_val_3)
E      _val_5 = Cast <to: int = 1> (input_0)
E      _val_6 = Constant <value: tensor = int64 {4}> ()
E      _val_7 = Cast <to: int = 1> (_val_6)
E      _val_8 = Constant <value: tensor = int64 {50}> ()
E      _val_9 = Cast <to: int = 1> (_val_8)
E      _val_10 = Range (_val_2, _val_9, _val_4)
E      _val_11 = CastLike (_val_5, _val_7)
E      _val_12 = Sub (_val_7, _val_11)
E      _val_13 = Sub (_val_9, _val_4)
E      _val_14 = Div (_val_12, _val_13)
E      _val_15 = Mul (_val_10, _val_14)
E      _val_16 = Add (_val_15, _val_11)
E   }
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:521: in _capture_graph_and_evaluate_torch_script_evaluator
    onnx.checker.check_model(onnx_model, full_check=True)
.nox\test_torch_nightly\lib\site-packages\onnx\checker.py:148: in check_model
    C.check_model(protobuf_string, full_check, skip_opset_compatibility_check)
E   onnx.onnx_cpp2py_export.shape_inference.InferenceError: [ShapeInferenceError] (op_type:Add, node name: Add_15): [TypeInferenceError] Inferred elem type differs from existing elem type: (1) vs (10)

The above exception was the direct cause of the following exception:
onnxscript\tests\function_libs\torch_lib\ops_test.py:230: in run_test_output_match
    function_output = function_executor(test_name, reference_torch_outputs)(
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:523: in _capture_graph_and_evaluate_torch_script_evaluator
    raise AssertionError(
E   AssertionError: ONNX model is invalid. Model:
E   <
E      ir_version: 8,
E      opset_import: ["" : 18],
E      producer_name: "pytorch",
E      producer_version: "2.2.0"
E   >
E   main_graph (int64 input_1) => (float16[50] _val_16) {
E      _val_1 = Constant <value: tensor = float {0}> ()
E      _val_2 = Cast <to: int = 1> (_val_1)
E      _val_3 = Constant <value: tensor = float {1}> ()
E      _val_4 = Cast <to: int = 1> (_val_3)
E      _val_5 = Constant <value: tensor = int64 {50}> ()
E      _val_6 = Cast <to: int = 1> (_val_5)
E      _val_7 = Cast <to: int = 1> (input_1)
E      _val_8 = Constant <value: tensor = int64 {50}> ()
E      _val_9 = Cast <to: int = 1> (_val_8)
E      _val_10 = Range (_val_2, _val_9, _val_4)
E      _val_11 = CastLike (_val_6, _val_7)
E      _val_12 = Sub (_val_7, _val_11)
E      _val_13 = Sub (_val_9, _val_4)
E      _val_14 = Div (_val_12, _val_13)
E      _val_15 = Mul (_val_10, _val_14)
E      _val_16 = Add (_val_15, _val_11)
E   }
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:521: in _capture_graph_and_evaluate_torch_script_evaluator
    onnx.checker.check_model(onnx_model, full_check=True)
.nox\test_torch_nightly\lib\site-packages\onnx\checker.py:148: in check_model
    C.check_model(protobuf_string, full_check, skip_opset_compatibility_check)
E   onnx.onnx_cpp2py_export.shape_inference.InferenceError: [ShapeInferenceError] (op_type:Add, node name: Add_14): [TypeInferenceError] Inferred elem type differs from existing elem type: (1) vs (10)

The above exception was the direct cause of the following exception:
onnxscript\tests\function_libs\torch_lib\ops_test.py:230: in run_test_output_match
    function_output = function_executor(test_name, reference_torch_outputs)(
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:523: in _capture_graph_and_evaluate_torch_script_evaluator
    raise AssertionError(
E   AssertionError: ONNX model is invalid. Model:
E   <
E      ir_version: 8,
E      opset_import: ["" : 18],
E      producer_name: "pytorch",
E      producer_version: "2.2.0"
E   >
E   main_graph (int64 input_0, int64 input_1) => (float16[0] _val_16) {
E      _val_2 = Constant <value: tensor = float {0}> ()
E      _val_3 = Cast <to: int = 1> (_val_2)
E      _val_4 = Constant <value: tensor = float {1}> ()
E      _val_5 = Cast <to: int = 1> (_val_4)
E      _val_6 = Cast <to: int = 1> (input_0)
E      _val_7 = Cast <to: int = 1> (input_1)
E      _val_8 = Constant <value: tensor = int64 {0}> ()
E      _val_9 = Cast <to: int = 1> (_val_8)
E      _val_10 = Range (_val_3, _val_9, _val_5)
E      _val_11 = CastLike (_val_6, _val_7)
E      _val_12 = Sub (_val_7, _val_11)
E      _val_13 = Sub (_val_9, _val_5)
E      _val_14 = Div (_val_12, _val_13)
E      _val_15 = Mul (_val_10, _val_14)
E      _val_16 = Add (_val_15, _val_11)
E   }
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:521: in _capture_graph_and_evaluate_torch_script_evaluator
    onnx.checker.check_model(onnx_model, full_check=True)
.nox\test_torch_nightly\lib\site-packages\onnx\checker.py:148: in check_model
    C.check_model(protobuf_string, full_check, skip_opset_compatibility_check)
E   onnx.onnx_cpp2py_export.shape_inference.InferenceError: [ShapeInferenceError] (op_type:Add, node name: Add_15): [TypeInferenceError] Inferred elem type differs from existing elem type: (1) vs (10)

The above exception was the direct cause of the following exception:
onnxscript\tests\function_libs\torch_lib\ops_test.py:230: in run_test_output_match
    function_output = function_executor(test_name, reference_torch_outputs)(
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:523: in _capture_graph_and_evaluate_torch_script_evaluator
    raise AssertionError(
E   AssertionError: ONNX model is invalid. Model:
E   <
E      ir_version: 8,
E      opset_import: ["" : 18],
E      producer_name: "pytorch",
E      producer_version: "2.2.0"
E   >
E   main_graph (int64 input_0) => (float16[0] _val_16) {
E      _val_1 = Constant <value: tensor = float {0}> ()
E      _val_2 = Cast <to: int = 1> (_val_1)
E      _val_3 = Constant <value: tensor = float {1}> ()
E      _val_4 = Cast <to: int = 1> (_val_3)
E      _val_5 = Cast <to: int = 1> (input_0)
E      _val_6 = Constant <value: tensor = int64 {50}> ()
E      _val_7 = Cast <to: int = 1> (_val_6)
E      _val_8 = Constant <value: tensor = int64 {0}> ()
E      _val_9 = Cast <to: int = 1> (_val_8)
E      _val_10 = Range (_val_2, _val_9, _val_4)
E      _val_11 = CastLike (_val_5, _val_7)
E      _val_12 = Sub (_val_7, _val_11)
E      _val_13 = Sub (_val_9, _val_4)
E      _val_14 = Div (_val_12, _val_13)
E      _val_15 = Mul (_val_10, _val_14)
E      _val_16 = Add (_val_15, _val_11)
E   }
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:521: in _capture_graph_and_evaluate_torch_script_evaluator
    onnx.checker.check_model(onnx_model, full_check=True)
.nox\test_torch_nightly\lib\site-packages\onnx\checker.py:148: in check_model
    C.check_model(protobuf_string, full_check, skip_opset_compatibility_check)
E   onnx.onnx_cpp2py_export.shape_inference.InferenceError: [ShapeInferenceError] (op_type:Add, node name: Add_15): [TypeInferenceError] Inferred elem type differs from existing elem type: (1) vs (10)

The above exception was the direct cause of the following exception:
onnxscript\tests\function_libs\torch_lib\ops_test.py:230: in run_test_output_match
    function_output = function_executor(test_name, reference_torch_outputs)(
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:523: in _capture_graph_and_evaluate_torch_script_evaluator
    raise AssertionError(
E   AssertionError: ONNX model is invalid. Model:
E   <
E      ir_version: 8,
E      opset_import: ["" : 18],
E      producer_name: "pytorch",
E      producer_version: "2.2.0"
E   >
E   main_graph (int64 input_1) => (float16[0] _val_16) {
E      _val_1 = Constant <value: tensor = float {0}> ()
E      _val_2 = Cast <to: int = 1> (_val_1)
E      _val_3 = Constant <value: tensor = float {1}> ()
E      _val_4 = Cast <to: int = 1> (_val_3)
E      _val_5 = Constant <value: tensor = int64 {50}> ()
E      _val_6 = Cast <to: int = 1> (_val_5)
E      _val_7 = Cast <to: int = 1> (input_1)
E      _val_8 = Constant <value: tensor = int64 {0}> ()
E      _val_9 = Cast <to: int = 1> (_val_8)
E      _val_10 = Range (_val_2, _val_9, _val_4)
E      _val_11 = CastLike (_val_6, _val_7)
E      _val_12 = Sub (_val_7, _val_11)
E      _val_13 = Sub (_val_9, _val_4)
E      _val_14 = Div (_val_12, _val_13)
E      _val_15 = Mul (_val_10, _val_14)
E      _val_16 = Add (_val_15, _val_11)
E   }
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:521: in _capture_graph_and_evaluate_torch_script_evaluator
    onnx.checker.check_model(onnx_model, full_check=True)
.nox\test_torch_nightly\lib\site-packages\onnx\checker.py:148: in check_model
    C.check_model(protobuf_string, full_check, skip_opset_compatibility_check)
E   onnx.onnx_cpp2py_export.shape_inference.InferenceError: [ShapeInferenceError] (op_type:Add, node name: Add_14): [TypeInferenceError] Inferred elem type differs from existing elem type: (1) vs (10)

The above exception was the direct cause of the following exception:
onnxscript\tests\function_libs\torch_lib\ops_test.py:230: in run_test_output_match
    function_output = function_executor(test_name, reference_torch_outputs)(
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:523: in _capture_graph_and_evaluate_torch_script_evaluator
    raise AssertionError(
E   AssertionError: ONNX model is invalid. Model:
E   <
E      ir_version: 8,
E      opset_import: ["" : 18],
E      producer_name: "pytorch",
E      producer_version: "2.2.0"
E   >
E   main_graph (int64 input_0, int64 input_1) => (float16[50] _val_16) {
E      _val_2 = Constant <value: tensor = float {0}> ()
E      _val_3 = Cast <to: int = 1> (_val_2)
E      _val_4 = Constant <value: tensor = float {1}> ()
E      _val_5 = Cast <to: int = 1> (_val_4)
E      _val_6 = Cast <to: int = 1> (input_0)
E      _val_7 = Cast <to: int = 1> (input_1)
E      _val_8 = Constant <value: tensor = int64 {50}> ()
E      _val_9 = Cast <to: int = 1> (_val_8)
E      _val_10 = Range (_val_3, _val_9, _val_5)
E      _val_11 = CastLike (_val_6, _val_7)
E      _val_12 = Sub (_val_7, _val_11)
E      _val_13 = Sub (_val_9, _val_5)
E      _val_14 = Div (_val_12, _val_13)
E      _val_15 = Mul (_val_10, _val_14)
E      _val_16 = Add (_val_15, _val_11)
E   }
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:521: in _capture_graph_and_evaluate_torch_script_evaluator
    onnx.checker.check_model(onnx_model, full_check=True)
.nox\test_torch_nightly\lib\site-packages\onnx\checker.py:148: in check_model
    C.check_model(protobuf_string, full_check, skip_opset_compatibility_check)
E   onnx.onnx_cpp2py_export.shape_inference.InferenceError: [ShapeInferenceError] (op_type:Add, node name: Add_15): [TypeInferenceError] Inferred elem type differs from existing elem type: (1) vs (10)

The above exception was the direct cause of the following exception:
onnxscript\tests\function_libs\torch_lib\ops_test.py:230: in run_test_output_match
    function_output = function_executor(test_name, reference_torch_outputs)(
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:523: in _capture_graph_and_evaluate_torch_script_evaluator
    raise AssertionError(
E   AssertionError: ONNX model is invalid. Model:
E   <
E      ir_version: 8,
E      opset_import: ["" : 18],
E      producer_name: "pytorch",
E      producer_version: "2.2.0"
E   >
E   main_graph (int64 input_0) => (float16[50] _val_16) {
E      _val_1 = Constant <value: tensor = float {0}> ()
E      _val_2 = Cast <to: int = 1> (_val_1)
E      _val_3 = Constant <value: tensor = float {1}> ()
E      _val_4 = Cast <to: int = 1> (_val_3)
E      _val_5 = Cast <to: int = 1> (input_0)
E      _val_6 = Constant <value: tensor = int64 {50}> ()
E      _val_7 = Cast <to: int = 1> (_val_6)
E      _val_8 = Constant <value: tensor = int64 {50}> ()
E      _val_9 = Cast <to: int = 1> (_val_8)
E      _val_10 = Range (_val_2, _val_9, _val_4)
E      _val_11 = CastLike (_val_5, _val_7)
E      _val_12 = Sub (_val_7, _val_11)
E      _val_13 = Sub (_val_9, _val_4)
E      _val_14 = Div (_val_12, _val_13)
E      _val_15 = Mul (_val_10, _val_14)
E      _val_16 = Add (_val_15, _val_11)
E   }
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:521: in _capture_graph_and_evaluate_torch_script_evaluator
    onnx.checker.check_model(onnx_model, full_check=True)
.nox\test_torch_nightly\lib\site-packages\onnx\checker.py:148: in check_model
    C.check_model(protobuf_string, full_check, skip_opset_compatibility_check)
E   onnx.onnx_cpp2py_export.shape_inference.InferenceError: [ShapeInferenceError] (op_type:Add, node name: Add_15): [TypeInferenceError] Inferred elem type differs from existing elem type: (1) vs (10)

The above exception was the direct cause of the following exception:
onnxscript\tests\function_libs\torch_lib\ops_test.py:230: in run_test_output_match
    function_output = function_executor(test_name, reference_torch_outputs)(
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:523: in _capture_graph_and_evaluate_torch_script_evaluator
    raise AssertionError(
E   AssertionError: ONNX model is invalid. Model:
E   <
E      ir_version: 8,
E      opset_import: ["" : 18],
E      producer_name: "pytorch",
E      producer_version: "2.2.0"
E   >
E   main_graph (int64 input_1) => (float16[50] _val_16) {
E      _val_1 = Constant <value: tensor = float {0}> ()
E      _val_2 = Cast <to: int = 1> (_val_1)
E      _val_3 = Constant <value: tensor = float {1}> ()
E      _val_4 = Cast <to: int = 1> (_val_3)
E      _val_5 = Constant <value: tensor = int64 {50}> ()
E      _val_6 = Cast <to: int = 1> (_val_5)
E      _val_7 = Cast <to: int = 1> (input_1)
E      _val_8 = Constant <value: tensor = int64 {50}> ()
E      _val_9 = Cast <to: int = 1> (_val_8)
E      _val_10 = Range (_val_2, _val_9, _val_4)
E      _val_11 = CastLike (_val_6, _val_7)
E      _val_12 = Sub (_val_7, _val_11)
E      _val_13 = Sub (_val_9, _val_4)
E      _val_14 = Div (_val_12, _val_13)
E      _val_15 = Mul (_val_10, _val_14)
E      _val_16 = Add (_val_15, _val_11)
E   }
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:521: in _capture_graph_and_evaluate_torch_script_evaluator
    onnx.checker.check_model(onnx_model, full_check=True)
.nox\test_torch_nightly\lib\site-packages\onnx\checker.py:148: in check_model
    C.check_model(protobuf_string, full_check, skip_opset_compatibility_check)
E   onnx.onnx_cpp2py_export.shape_inference.InferenceError: [ShapeInferenceError] (op_type:Add, node name: Add_14): [TypeInferenceError] Inferred elem type differs from existing elem type: (1) vs (10)

The above exception was the direct cause of the following exception:
onnxscript\tests\function_libs\torch_lib\ops_test.py:230: in run_test_output_match
    function_output = function_executor(test_name, reference_torch_outputs)(
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:523: in _capture_graph_and_evaluate_torch_script_evaluator
    raise AssertionError(
E   AssertionError: ONNX model is invalid. Model:
E   <
E      ir_version: 8,
E      opset_import: ["" : 18],
E      producer_name: "pytorch",
E      producer_version: "2.2.0"
E   >
E   main_graph (int64 input_0, int64 input_1) => (float16[50] _val_16) {
E      _val_2 = Constant <value: tensor = float {0}> ()
E      _val_3 = Cast <to: int = 1> (_val_2)
E      _val_4 = Constant <value: tensor = float {1}> ()
E      _val_5 = Cast <to: int = 1> (_val_4)
E      _val_6 = Cast <to: int = 1> (input_0)
E      _val_7 = Cast <to: int = 1> (input_1)
E      _val_8 = Constant <value: tensor = int64 {50}> ()
E      _val_9 = Cast <to: int = 1> (_val_8)
E      _val_10 = Range (_val_3, _val_9, _val_5)
E      _val_11 = CastLike (_val_6, _val_7)
E      _val_12 = Sub (_val_7, _val_11)
E      _val_13 = Sub (_val_9, _val_5)
E      _val_14 = Div (_val_12, _val_13)
E      _val_15 = Mul (_val_10, _val_14)
E      _val_16 = Add (_val_15, _val_11)
E   }

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

See this annotation in the file changed.

@github-actions github-actions / Test Results

All 3 runs failed: test_output_match_opinfo__linspace_tensor_overload_cpu_int32 (onnxscript.tests.function_libs.torch_lib.ops_test.TestOutputConsistencyFullGraphCPU) 

artifacts/Test Results (py310-torch-nightly-macos-latest)/pytest.xml [took 5s]
artifacts/Test Results (py310-torch-nightly-ubuntu-latest)/pytest.xml [took 6s]
artifacts/Test Results (py310-torch-nightly-windows-latest)/pytest.xml [took 1s]
Raw output 
AssertionError: Tensor-likes are not equal!

Mismatched elements: 1 / 50 (2.0%)
Greatest absolute difference: 1 at index (49,)
Greatest relative difference: 0.3333333432674408 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 1 / 50 (2.0%)
Greatest absolute difference: 1 at index (49,)
Greatest relative difference: 0.3333333432674408 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 1 / 50 (2.0%)
Greatest absolute difference: 1 at index (49,)
Greatest relative difference: 0.3333333432674408 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 2 at index (25,)
Greatest relative difference: inf at index (25,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 2 at index (25,)
Greatest relative difference: inf at index (25,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 2 at index (25,)
Greatest relative difference: inf at index (25,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 3 at index (49,)
Greatest relative difference: inf at index (17,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 3 at index (49,)
Greatest relative difference: inf at index (17,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 3 at index (49,)
Greatest relative difference: inf at index (17,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 6 at index (49,)
Greatest relative difference: inf at index (9,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 6 at index (49,)
Greatest relative difference: inf at index (9,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 6 at index (49,)
Greatest relative difference: inf at index (9,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 34 / 50 (68.0%)
Greatest absolute difference: 3 at index (49,)
Greatest relative difference: inf at index (1,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 34 / 50 (68.0%)
Greatest absolute difference: 3 at index (49,)
Greatest relative difference: inf at index (1,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 34 / 50 (68.0%)
Greatest absolute difference: 3 at index (49,)
Greatest relative difference: inf at index (1,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 33 / 50 (66.0%)
Greatest absolute difference: 3 at index (49,)
Greatest relative difference: 1.0 at index (17,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 33 / 50 (66.0%)
Greatest absolute difference: 3 at index (49,)
Greatest relative difference: 1.0 at index (17,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 33 / 50 (66.0%)
Greatest absolute difference: 3 at index (49,)
Greatest relative difference: 1.0 at index (17,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 1 / 50 (2.0%)
Greatest absolute difference: 1 at index (49,)
Greatest relative difference: 1.0 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 1 / 50 (2.0%)
Greatest absolute difference: 1 at index (49,)
Greatest relative difference: 1.0 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 1 / 50 (2.0%)
Greatest absolute difference: 1 at index (49,)
Greatest relative difference: 1.0 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 37 / 50 (74.0%)
Greatest absolute difference: 4 at index (49,)
Greatest relative difference: 1.0 at index (13,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 37 / 50 (74.0%)
Greatest absolute difference: 4 at index (49,)
Greatest relative difference: 1.0 at index (13,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 37 / 50 (74.0%)
Greatest absolute difference: 4 at index (49,)
Greatest relative difference: 1.0 at index (13,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 1 / 50 (2.0%)
Greatest absolute difference: 1 at index (49,)
Greatest relative difference: 0.019999999552965164 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 1 / 50 (2.0%)
Greatest absolute difference: 1 at index (49,)
Greatest relative difference: 0.019999999552965164 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 1 / 50 (2.0%)
Greatest absolute difference: 1 at index (49,)
Greatest relative difference: 0.019999999552965164 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 7 at index (49,)
Greatest relative difference: inf at index (22,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 7 at index (49,)
Greatest relative difference: inf at index (22,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 7 at index (49,)
Greatest relative difference: inf at index (22,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 4 at index (37,)
Greatest relative difference: inf at index (37,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 4 at index (37,)
Greatest relative difference: inf at index (37,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 4 at index (37,)
Greatest relative difference: inf at index (37,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 3 at index (33,)
Greatest relative difference: 3.0 at index (33,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 3 at index (33,)
Greatest relative difference: 3.0 at index (33,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 3 at index (33,)
Greatest relative difference: 3.0 at index (33,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 48 / 50 (96.0%)
Greatest absolute difference: 46 at index (49,)
Greatest relative difference: 0.9200000166893005 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 48 / 50 (96.0%)
Greatest absolute difference: 46 at index (49,)
Greatest relative difference: 0.9200000166893005 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 48 / 50 (96.0%)
Greatest absolute difference: 46 at index (49,)
Greatest relative difference: 0.9200000166893005 at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 4 at index (37,)
Greatest relative difference: inf at index (46,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 4 at index (37,)
Greatest relative difference: inf at index (46,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 4 at index (37,)
Greatest relative difference: inf at index (46,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 1 at index (1,)
Greatest relative difference: inf at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 1 at index (1,)
Greatest relative difference: inf at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 1 at index (1,)
Greatest relative difference: inf at index (49,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 46 at index (48,)
Greatest relative difference: 11.5 at index (48,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 46 at index (48,)
Greatest relative difference: 11.5 at index (48,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 49 / 50 (98.0%)
Greatest absolute difference: 46 at index (48,)
Greatest relative difference: 11.5 at index (48,)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 43 / 50 (86.0%)
Greatest absolute difference: 7 at index (49,)
Greatest relative difference: 1.0 at index (7,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 1 / 50 (2.0%)
E   Greatest absolute difference: 1 at index (49,)
E   Greatest relative difference: 0.3333333432674408 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 1 / 50 (2.0%)
E   Greatest absolute difference: 1 at index (49,)
E   Greatest relative difference: 0.3333333432674408 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 1 / 50 (2.0%)
E   Greatest absolute difference: 1 at index (49,)
E   Greatest relative difference: 0.3333333432674408 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 2 at index (25,)
E   Greatest relative difference: inf at index (25,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 2 at index (25,)
E   Greatest relative difference: inf at index (25,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 2 at index (25,)
E   Greatest relative difference: inf at index (25,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 3 at index (49,)
E   Greatest relative difference: inf at index (17,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 3 at index (49,)
E   Greatest relative difference: inf at index (17,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 3 at index (49,)
E   Greatest relative difference: inf at index (17,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 6 at index (49,)
E   Greatest relative difference: inf at index (9,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 6 at index (49,)
E   Greatest relative difference: inf at index (9,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 6 at index (49,)
E   Greatest relative difference: inf at index (9,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 34 / 50 (68.0%)
E   Greatest absolute difference: 3 at index (49,)
E   Greatest relative difference: inf at index (1,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 34 / 50 (68.0%)
E   Greatest absolute difference: 3 at index (49,)
E   Greatest relative difference: inf at index (1,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 34 / 50 (68.0%)
E   Greatest absolute difference: 3 at index (49,)
E   Greatest relative difference: inf at index (1,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 33 / 50 (66.0%)
E   Greatest absolute difference: 3 at index (49,)
E   Greatest relative difference: 1.0 at index (17,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 33 / 50 (66.0%)
E   Greatest absolute difference: 3 at index (49,)
E   Greatest relative difference: 1.0 at index (17,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 33 / 50 (66.0%)
E   Greatest absolute difference: 3 at index (49,)
E   Greatest relative difference: 1.0 at index (17,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 1 / 50 (2.0%)
E   Greatest absolute difference: 1 at index (49,)
E   Greatest relative difference: 1.0 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 1 / 50 (2.0%)
E   Greatest absolute difference: 1 at index (49,)
E   Greatest relative difference: 1.0 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 1 / 50 (2.0%)
E   Greatest absolute difference: 1 at index (49,)
E   Greatest relative difference: 1.0 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 37 / 50 (74.0%)
E   Greatest absolute difference: 4 at index (49,)
E   Greatest relative difference: 1.0 at index (13,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 37 / 50 (74.0%)
E   Greatest absolute difference: 4 at index (49,)
E   Greatest relative difference: 1.0 at index (13,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 37 / 50 (74.0%)
E   Greatest absolute difference: 4 at index (49,)
E   Greatest relative difference: 1.0 at index (13,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 1 / 50 (2.0%)
E   Greatest absolute difference: 1 at index (49,)
E   Greatest relative difference: 0.019999999552965164 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 1 / 50 (2.0%)
E   Greatest absolute difference: 1 at index (49,)
E   Greatest relative difference: 0.019999999552965164 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 1 / 50 (2.0%)
E   Greatest absolute difference: 1 at index (49,)
E   Greatest relative difference: 0.019999999552965164 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 7 at index (49,)
E   Greatest relative difference: inf at index (22,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 7 at index (49,)
E   Greatest relative difference: inf at index (22,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 7 at index (49,)
E   Greatest relative difference: inf at index (22,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 4 at index (37,)
E   Greatest relative difference: inf at index (37,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 4 at index (37,)
E   Greatest relative difference: inf at index (37,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 4 at index (37,)
E   Greatest relative difference: inf at index (37,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 3 at index (33,)
E   Greatest relative difference: 3.0 at index (33,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 3 at index (33,)
E   Greatest relative difference: 3.0 at index (33,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 3 at index (33,)
E   Greatest relative difference: 3.0 at index (33,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 48 / 50 (96.0%)
E   Greatest absolute difference: 46 at index (49,)
E   Greatest relative difference: 0.9200000166893005 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 48 / 50 (96.0%)
E   Greatest absolute difference: 46 at index (49,)
E   Greatest relative difference: 0.9200000166893005 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 48 / 50 (96.0%)
E   Greatest absolute difference: 46 at index (49,)
E   Greatest relative difference: 0.9200000166893005 at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 4 at index (37,)
E   Greatest relative difference: inf at index (46,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 4 at index (37,)
E   Greatest relative difference: inf at index (46,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 4 at index (37,)
E   Greatest relative difference: inf at index (46,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 1 at index (1,)
E   Greatest relative difference: inf at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 1 at index (1,)
E   Greatest relative difference: inf at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 1 at index (1,)
E   Greatest relative difference: inf at index (49,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 46 at index (48,)
E   Greatest relative difference: 11.5 at index (48,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 46 at index (48,)
E   Greatest relative difference: 11.5 at index (48,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 49 / 50 (98.0%)
E   Greatest absolute difference: 46 at index (48,)
E   Greatest relative difference: 11.5 at index (48,)
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not equal!
E   
E   Mismatched elements: 43 / 50 (86.0%)
E   Greatest absolute difference: 7 at index (49,)
E   Greatest relative difference: 1.0 at index (7,)

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

See this annotation in the file changed.

@github-actions github-actions / Test Results

All 3 runs failed: test_output_match_opinfo__native_batch_norm_cpu_float16 (onnxscript.tests.function_libs.torch_lib.ops_test.TestOutputConsistencyFullGraphCPU) 

artifacts/Test Results (py310-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py310-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py310-torch-nightly-windows-latest)/pytest.xml [took 0s]
Raw output 
AssertionError: Output 0 mismatch
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["pkg.onnxscript.torch_lib" : 1, "" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (float16[3,2,4] input_0, float16[2] input_1, float16[2] input_2, float16[2] input_3, float16[2] input_4) => (float16[3,2,4] _val_6, float16[0] _val_7, float16[0] _val_8) {
   _val_5 = Constant <value_ints: ints = [0, 2]> ()
   _val_6, _val_7, _val_8 = pkg.onnxscript.torch_lib._aten_native_batch_norm_inference_onnx <eps: float = 1e-05, momentum: float = -1.2, training: int = 0> (input_0, input_1, input_2, input_3, input_4)
}
<
  domain: "pkg.onnxscript.torch_lib",
  opset_import: ["" : 18]
>
_aten_native_batch_norm_inference_onnx <training,momentum,eps>(input, weight, bias, running_mean, running_var) => (norm, empty_mean, empty_var)
{
   norm = BatchNormalization <epsilon: float = @eps, momentum: float = @momentum, training_mode: int = @training> (input, weight, bias, running_mean, running_var)
   tmp = Shape <end: int = 0, start: int = 0> (input)
   empty_mean = Cast <to: int = 1> (tmp)
   tmp_0 = Shape <end: int = 0, start: int = 0> (input)
   empty_var = Cast <to: int = 1> (tmp_0)
}
AssertionError: Output 0 mismatch
AssertionError: Output 0 mismatch
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["pkg.onnxscript.torch_lib" : 1, "" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (float16[3,2,3,4] input_0, float16[2] input_1, float16[2] input_2, float16[2] input_3, float16[2] input_4) => (float16[3,2,3,4] _val_6, float16[0] _val_7, float16[0] _val_8) {
   _val_5 = Constant <value_ints: ints = [0, 2, 3]> ()
   _val_6, _val_7, _val_8 = pkg.onnxscript.torch_lib._aten_native_batch_norm_inference_onnx <eps: float = 0.5, momentum: float = -1, training: int = 0> (input_0, input_1, input_2, input_3, input_4)
}
<
  domain: "pkg.onnxscript.torch_lib",
  opset_import: ["" : 18]
>
_aten_native_batch_norm_inference_onnx <training,momentum,eps>(input, weight, bias, running_mean, running_var) => (norm, empty_mean, empty_var)
{
   norm = BatchNormalization <epsilon: float = @eps, momentum: float = @momentum, training_mode: int = @training> (input, weight, bias, running_mean, running_var)
   tmp = Shape <end: int = 0, start: int = 0> (input)
   empty_mean = Cast <to: int = 1> (tmp)
   tmp_0 = Shape <end: int = 0, start: int = 0> (input)
   empty_var = Cast <to: int = 1> (tmp_0)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["pkg.onnxscript.torch_lib" : 1, "" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (float16[2,1] input_0, float16[1] input_1, float16[1] input_2, float16[1] input_3, float16[1] input_4) => (float16[2,1] _val_6, float16[0] _val_7, float16[0] _val_8) {
   _val_5 = Constant <value_ints: ints = [0]> ()
   _val_6, _val_7, _val_8 = pkg.onnxscript.torch_lib._aten_native_batch_norm_inference_onnx <eps: float = 1e-05, momentum: float = 0.5, training: int = 0> (input_0, input_1, input_2, input_3, input_4)
}
<
  domain: "pkg.onnxscript.torch_lib",
  opset_import: ["" : 18]
>
_aten_native_batch_norm_inference_onnx <training,momentum,eps>(input, weight, bias, running_mean, running_var) => (norm, empty_mean, empty_var)
{
   norm = BatchNormalization <epsilon: float = @eps, momentum: float = @momentum, training_mode: int = @training> (input, weight, bias, running_mean, running_var)
   tmp = Shape <end: int = 0, start: int = 0> (input)
   empty_mean = Cast <to: int = 1> (tmp)
   tmp_0 = Shape <end: int = 0, start: int = 0> (input)
   empty_var = Cast <to: int = 1> (tmp_0)
}
AssertionError: ONNX model is invalid. Model:
<
   ir_version: 8,
   opset_import: ["pkg.onnxscript.torch_lib" : 1, "" : 18],
   producer_name: "pytorch",
   producer_version: "2.2.0"
>
main_graph (float16[2,1] input_0, float16[1] input_1, float16[1] input_2, float16[1] input_3, float16[1] input_4) => (float16[2,1] _val_6, float16[0] _val_7, float16[0] _val_8) {
   _val_5 = Constant <value_ints: ints = [0]> ()
   _val_6, _val_7, _val_8 = pkg.onnxscript.torch_lib._aten_native_batch_norm_inference_onnx <eps: float = 1e-05, momentum: float = 0.5, training: int = 0> (input_0, input_1, input_2, input_3, input_4)
}
<
  domain: "pkg.onnxscript.torch_lib",
  opset_import: ["" : 18]
>
_aten_native_batch_norm_inference_onnx <training,momentum,eps>(input, weight, bias, running_mean, running_var) => (norm, empty_mean, empty_var)
{
   norm = BatchNormalization <epsilon: float = @eps, momentum: float = @momentum, training_mode: int = @training> (input, weight, bias, running_mean, running_var)
   tmp = Shape <end: int = 0, start: int = 0> (input)
   empty_mean = Cast <to: int = 1> (tmp)
   tmp_0 = Shape <end: int = 0, start: int = 0> (input)
   empty_var = Cast <to: int = 1> (tmp_0)
}
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 10 / 125 (8.0%)
E   Greatest absolute difference: 0.002197265625 at index (2, 1, 2) (up to 1e-05 allowed)
E   Greatest relative difference: 0.01470947265625 at index (1, 0, 0) (up to 0.001 allowed)

The above exception was the direct cause of the following exception:
onnxscript\tests\function_libs\torch_lib\ops_test.py:281: in run_test_output_match
    raise AssertionError(f"Output {j} mismatch") from e
E   AssertionError: Output 0 mismatch
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:521: in _capture_graph_and_evaluate_torch_script_evaluator
    onnx.checker.check_model(onnx_model, full_check=True)
.nox\test_torch_nightly\lib\site-packages\onnx\checker.py:148: in check_model
    C.check_model(protobuf_string, full_check, skip_opset_compatibility_check)
E   onnx.onnx_cpp2py_export.shape_inference.InferenceError: [ShapeInferenceError] (op_type:_aten_native_batch_norm_inference_onnx, node name: _aten_native_batch_norm_inference_onnx_1): [TypeInferenceError] Inferred elem type differs from existing elem type: (1) vs (10)

The above exception was the direct cause of the following exception:
onnxscript\tests\function_libs\torch_lib\ops_test.py:230: in run_test_output_match
    function_output = function_executor(test_name, reference_torch_outputs)(
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:523: in _capture_graph_and_evaluate_torch_script_evaluator
    raise AssertionError(
E   AssertionError: ONNX model is invalid. Model:
E   <
E      ir_version: 8,
E      opset_import: ["pkg.onnxscript.torch_lib" : 1, "" : 18],
E      producer_name: "pytorch",
E      producer_version: "2.2.0"
E   >
E   main_graph (float16[3,2,4] input_0, float16[2] input_1, float16[2] input_2, float16[2] input_3, float16[2] input_4) => (float16[3,2,4] _val_6, float16[0] _val_7, float16[0] _val_8) {
E      _val_5 = Constant <value_ints: ints = [0, 2]> ()
E      _val_6, _val_7, _val_8 = pkg.onnxscript.torch_lib._aten_native_batch_norm_inference_onnx <eps: float = 1e-05, momentum: float = -1.2, training: int = 0> (input_0, input_1, input_2, input_3, input_4)
E   }
E   <
E     domain: "pkg.onnxscript.torch_lib",
E     opset_import: ["" : 18]
E   >
E   _aten_native_batch_norm_inference_onnx <training,momentum,eps>(input, weight, bias, running_mean, running_var) => (norm, empty_mean, empty_var)
E   {
E      norm = BatchNormalization <epsilon: float = @eps, momentum: float = @momentum, training_mode: int = @training> (input, weight, bias, running_mean, running_var)
E      tmp = Shape <end: int = 0, start: int = 0> (input)
E      empty_mean = Cast <to: int = 1> (tmp)
E      tmp_0 = Shape <end: int = 0, start: int = 0> (input)
E      empty_var = Cast <to: int = 1> (tmp_0)
E   }
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 1 / 3 (33.3%)
E   Greatest absolute difference: 0.000732421875 at index (1, 0) (up to 1e-05 allowed)
E   Greatest relative difference: 0.0014848709106445312 at index (1, 0) (up to 0.001 allowed)

The above exception was the direct cause of the following exception:
onnxscript\tests\function_libs\torch_lib\ops_test.py:281: in run_test_output_match
    raise AssertionError(f"Output {j} mismatch") from e
E   AssertionError: Output 0 mismatch
onnxscript\tests\function_libs\torch_lib\ops_test.py:267: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 2 / 72 (2.8%)
E   Greatest absolute difference: 0.000732421875 at index (0, 0, 0, 2) (up to 1e-05 allowed)
E   Greatest relative difference: 0.0090484619140625 at index (1, 0, 0, 0) (up to 0.001 allowed)

The above exception was the direct cause of the following exception:
onnxscript\tests\function_libs\torch_lib\ops_test.py:281: in run_test_output_match
    raise AssertionError(f"Output {j} mismatch") from e
E   AssertionError: Output 0 mismatch
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:521: in _capture_graph_and_evaluate_torch_script_evaluator
    onnx.checker.check_model(onnx_model, full_check=True)
.nox\test_torch_nightly\lib\site-packages\onnx\checker.py:148: in check_model
    C.check_model(protobuf_string, full_check, skip_opset_compatibility_check)
E   onnx.onnx_cpp2py_export.shape_inference.InferenceError: [ShapeInferenceError] (op_type:_aten_native_batch_norm_inference_onnx, node name: _aten_native_batch_norm_inference_onnx_1): [TypeInferenceError] Inferred elem type differs from existing elem type: (1) vs (10)

The above exception was the direct cause of the following exception:
onnxscript\tests\function_libs\torch_lib\ops_test.py:230: in run_test_output_match
    function_output = function_executor(test_name, reference_torch_outputs)(
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:523: in _capture_graph_and_evaluate_torch_script_evaluator
    raise AssertionError(
E   AssertionError: ONNX model is invalid. Model:
E   <
E      ir_version: 8,
E      opset_import: ["pkg.onnxscript.torch_lib" : 1, "" : 18],
E      producer_name: "pytorch",
E      producer_version: "2.2.0"
E   >
E   main_graph (float16[3,2,3,4] input_0, float16[2] input_1, float16[2] input_2, float16[2] input_3, float16[2] input_4) => (float16[3,2,3,4] _val_6, float16[0] _val_7, float16[0] _val_8) {
E      _val_5 = Constant <value_ints: ints = [0, 2, 3]> ()
E      _val_6, _val_7, _val_8 = pkg.onnxscript.torch_lib._aten_native_batch_norm_inference_onnx <eps: float = 0.5, momentum: float = -1, training: int = 0> (input_0, input_1, input_2, input_3, input_4)
E   }
E   <
E     domain: "pkg.onnxscript.torch_lib",
E     opset_import: ["" : 18]
E   >
E   _aten_native_batch_norm_inference_onnx <training,momentum,eps>(input, weight, bias, running_mean, running_var) => (norm, empty_mean, empty_var)
E   {
E      norm = BatchNormalization <epsilon: float = @eps, momentum: float = @momentum, training_mode: int = @training> (input, weight, bias, running_mean, running_var)
E      tmp = Shape <end: int = 0, start: int = 0> (input)
E      empty_mean = Cast <to: int = 1> (tmp)
E      tmp_0 = Shape <end: int = 0, start: int = 0> (input)
E      empty_var = Cast <to: int = 1> (tmp_0)
E   }
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:521: in _capture_graph_and_evaluate_torch_script_evaluator
    onnx.checker.check_model(onnx_model, full_check=True)
.nox\test_torch_nightly\lib\site-packages\onnx\checker.py:148: in check_model
    C.check_model(protobuf_string, full_check, skip_opset_compatibility_check)
E   onnx.onnx_cpp2py_export.shape_inference.InferenceError: [ShapeInferenceError] (op_type:_aten_native_batch_norm_inference_onnx, node name: _aten_native_batch_norm_inference_onnx_1): [TypeInferenceError] Inferred elem type differs from existing elem type: (1) vs (10)

The above exception was the direct cause of the following exception:
onnxscript\tests\function_libs\torch_lib\ops_test.py:230: in run_test_output_match
    function_output = function_executor(test_name, reference_torch_outputs)(
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:523: in _capture_graph_and_evaluate_torch_script_evaluator
    raise AssertionError(
E   AssertionError: ONNX model is invalid. Model:
E   <
E      ir_version: 8,
E      opset_import: ["pkg.onnxscript.torch_lib" : 1, "" : 18],
E      producer_name: "pytorch",
E      producer_version: "2.2.0"
E   >
E   main_graph (float16[2,1] input_0, float16[1] input_1, float16[1] input_2, float16[1] input_3, float16[1] input_4) => (float16[2,1] _val_6, float16[0] _val_7, float16[0] _val_8) {
E      _val_5 = Constant <value_ints: ints = [0]> ()
E      _val_6, _val_7, _val_8 = pkg.onnxscript.torch_lib._aten_native_batch_norm_inference_onnx <eps: float = 1e-05, momentum: float = 0.5, training: int = 0> (input_0, input_1, input_2, input_3, input_4)
E   }
E   <
E     domain: "pkg.onnxscript.torch_lib",
E     opset_import: ["" : 18]
E   >
E   _aten_native_batch_norm_inference_onnx <training,momentum,eps>(input, weight, bias, running_mean, running_var) => (norm, empty_mean, empty_var)
E   {
E      norm = BatchNormalization <epsilon: float = @eps, momentum: float = @momentum, training_mode: int = @training> (input, weight, bias, running_mean, running_var)
E      tmp = Shape <end: int = 0, start: int = 0> (input)
E      empty_mean = Cast <to: int = 1> (tmp)
E      tmp_0 = Shape <end: int = 0, start: int = 0> (input)
E      empty_var = Cast <to: int = 1> (tmp_0)
E   }
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:521: in _capture_graph_and_evaluate_torch_script_evaluator
    onnx.checker.check_model(onnx_model, full_check=True)
.nox\test_torch_nightly\lib\site-packages\onnx\checker.py:148: in check_model
    C.check_model(protobuf_string, full_check, skip_opset_compatibility_check)
E   onnx.onnx_cpp2py_export.shape_inference.InferenceError: [ShapeInferenceError] (op_type:_aten_native_batch_norm_inference_onnx, node name: _aten_native_batch_norm_inference_onnx_1): [TypeInferenceError] Inferred elem type differs from existing elem type: (1) vs (10)

The above exception was the direct cause of the following exception:
onnxscript\tests\function_libs\torch_lib\ops_test.py:230: in run_test_output_match
    function_output = function_executor(test_name, reference_torch_outputs)(
onnxscript\tests\function_libs\torch_lib\ops_test_common.py:523: in _capture_graph_and_evaluate_torch_script_evaluator
    raise AssertionError(
E   AssertionError: ONNX model is invalid. Model:
E   <
E      ir_version: 8,
E      opset_import: ["pkg.onnxscript.torch_lib" : 1, "" : 18],
E      producer_name: "pytorch",
E      producer_version: "2.2.0"
E   >
E   main_graph (float16[2,1] input_0, float16[1] input_1, float16[1] input_2, float16[1] input_3, float16[1] input_4) => (float16[2,1] _val_6, float16[0] _val_7, float16[0] _val_8) {
E      _val_5 = Constant <value_ints: ints = [0]> ()
E      _val_6, _val_7, _val_8 = pkg.onnxscript.torch_lib._aten_native_batch_norm_inference_onnx <eps: float = 1e-05, momentum: float = 0.5, training: int = 0> (input_0, input_1, input_2, input_3, input_4)
E   }
E   <
E     domain: "pkg.onnxscript.torch_lib",
E     opset_import: ["" : 18]
E   >
E   _aten_native_batch_norm_inference_onnx <training,momentum,eps>(input, weight, bias, running_mean, running_var) => (norm, empty_mean, empty_var)
E   {
E      norm = BatchNormalization <epsilon: float = @eps, momentum: float = @momentum, training_mode: int = @training> (input, weight, bias, running_mean, running_var)
E      tmp = Shape <end: int = 0, start: int = 0> (input)
E      empty_mean = Cast <to: int = 1> (tmp)
E      tmp_0 = Shape <end: int = 0, start: int = 0> (input)
E      empty_var = Cast <to: int = 1> (tmp_0)
E   }
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