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[torchlib] Implement missing operators (set1) #6560

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[torchlib] Implement missing operators (set1)

[torchlib] Implement missing operators (set1) #6560

GitHub Actions / Test Results failed Jun 28, 2024 in 0s

44 fail, 2 547 skipped, 10 256 pass in 1h 38m 16s

     30 files  ±      0      30 suites  ±0   1h 38m 16s ⏱️ - 1h 28m 36s
 12 847 tests +  3 809  10 256 ✅ + 3 200    2 547 💤 +    643  44 ❌  - 33 
230 488 runs   - 211 418  66 156 ✅  - 31 513  164 270 💤  - 179 885  62 ❌  - 19 

Results for commit f06f3ea. ± Comparison against earlier commit 8d78fa9.

Annotations

Check warning on line 0 in onnxscript.tools.transformers_models.llama_test.TestExportLlama

See this annotation in the file changed.

@github-actions github-actions / Test Results

4 out of 20 runs failed: test_llama_dort_static (onnxscript.tools.transformers_models.llama_test.TestExportLlama) 

artifacts/Test Results (py311-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py311-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-macos-latest)/pytest.xml [took 1s]
artifacts/Test Results (py312-torch-nightly-ubuntu-latest)/pytest.xml [took 2s]
Raw output 
torch._dynamo.exc.Unsupported: Logger not supported for non-export cases

from user code:
   File "/Users/runner/work/onnxscript/onnxscript/onnxscript/tools/transformers_models/llama.py", line 58, in forward
    model_output = self.model(input_ids, attention_mask=attention_mask)
  File "/Users/runner/work/onnxscript/onnxscript/.nox/test_torch_nightly/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1567, in _call_impl
    return forward_call(*args, **kwargs)
  File "/Users/runner/work/onnxscript/onnxscript/.nox/test_torch_nightly/lib/python3.12/site-packages/transformers/models/llama/modeling_llama.py", line 937, in forward
    logger.warning_once(

Set TORCH_LOGS="+dynamo" and TORCHDYNAMO_VERBOSE=1 for more information


You can suppress this exception and fall back to eager by setting:
    import torch._dynamo
    torch._dynamo.config.suppress_errors = True
onnxscript/tools/transformers_models/llama_test.py:80: in test_llama_dort_static
    results = compiled_model(*input_tensors)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/nn/modules/module.py:1558: in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/nn/modules/module.py:1567: in _call_impl
    return forward_call(*args, **kwargs)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/eval_frame.py:432: in _fn
    return fn(*args, **kwargs)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/nn/modules/module.py:1558: in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/nn/modules/module.py:1567: in _call_impl
    return forward_call(*args, **kwargs)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/convert_frame.py:1115: in __call__
    return self._torchdynamo_orig_callable(
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/convert_frame.py:471: in __call__
    return _compile(
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_utils_internal.py:83: in wrapper_function
    return StrobelightCompileTimeProfiler.profile_compile_time(
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_strobelight/compile_time_profiler.py:129: in profile_compile_time
    return func(*args, **kwargs)
/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/contextlib.py:81: in inner
    return func(*args, **kwds)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/convert_frame.py:816: in _compile
    guarded_code = compile_inner(code, one_graph, hooks, transform)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/utils.py:232: in time_wrapper
    r = func(*args, **kwargs)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/convert_frame.py:635: in compile_inner
    out_code = transform_code_object(code, transform)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/bytecode_transformation.py:1184: in transform_code_object
    transformations(instructions, code_options)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/convert_frame.py:177: in _fn
    return fn(*args, **kwargs)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/convert_frame.py:581: in transform
    tracer.run()
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:2450: in run
    super().run()
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:892: in run
    while self.step():
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:804: in step
    self.dispatch_table[inst.opcode](self, inst)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:498: in wrapper
    return inner_fn(self, inst)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:2058: in CALL
    self.call_function(fn, args, kwargs)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:742: in call_function
    self.push(fn.call_function(self, args, kwargs))
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/variables/nn_module.py:437: in call_function
    return tx.inline_user_function_return(
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:748: in inline_user_function_return
    return InliningInstructionTranslator.inline_call(self, fn, args, kwargs)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:2665: in inline_call
    return cls.inline_call_(parent, func, args, kwargs)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:2781: in inline_call_
    tracer.run()
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:892: in run
    while self.step():
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:804: in step
    self.dispatch_table[inst.opcode](self, inst)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:498: in wrapper
    return inner_fn(self, inst)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:1499: in CALL_FUNCTION_EX
    self.call_function(fn, argsvars.items, kwargsvars)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:742: in call_function
    self.push(fn.call_function(self, args, kwargs))
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/variables/functions.py:342: in call_function
    return super().call_function(tx, args, kwargs)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/variables/functions.py:294: in call_function
    return super().call_function(tx, args, kwargs)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/variables/functions.py:91: in call_function
    return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:748: in inline_user_function_return
    return InliningInstructionTranslator.inline_call(self, fn, args, kwargs)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:2665: in inline_call
    return cls.inline_call_(parent, func, args, kwargs)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:2781: in inline_call_
    tracer.run()
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:892: in run
    while self.step():
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:804: in step
    self.dispatch_table[inst.opcode](self, inst)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:498: in wrapper
    return inner_fn(self, inst)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:2058: in CALL
    self.call_function(fn, args, kwargs)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:742: in call_function
    self.push(fn.call_function(self, args, kwargs))
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/variables/misc.py:680: in call_function
    return self.obj.call_method(tx, self.name, args, kwargs)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/variables/misc.py:1093: in call_method
    unimplemented("Logger not supported for non-export cases")
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/exc.py:220: in unimplemented
    raise Unsupported(msg)
E   torch._dynamo.exc.Unsupported: Logger not supported for non-export cases
E   
E   from user code:
E      File "/Users/runner/work/onnxscript/onnxscript/onnxscript/tools/transformers_models/llama.py", line 58, in forward
E       model_output = self.model(input_ids, attention_mask=attention_mask)
E     File "/Users/runner/work/onnxscript/onnxscript/.nox/test_torch_nightly/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1567, in _call_impl
E       return forward_call(*args, **kwargs)
E     File "/Users/runner/work/onnxscript/onnxscript/.nox/test_torch_nightly/lib/python3.12/site-packages/transformers/models/llama/modeling_llama.py", line 937, in forward
E       logger.warning_once(
E   
E   Set TORCH_LOGS="+dynamo" and TORCHDYNAMO_VERBOSE=1 for more information
E   
E   
E   You can suppress this exception and fall back to eager by setting:
E       import torch._dynamo
E       torch._dynamo.config.suppress_errors = True

Check warning on line 0 in onnxscript.tools.transformers_models.phi_test.TestExportPhi

See this annotation in the file changed.

@github-actions github-actions / Test Results

14 out of 20 runs failed: test_phi_dort_static (onnxscript.tools.transformers_models.phi_test.TestExportPhi) 

artifacts/Test Results (py310-macos-latest)/pytest.xml [took 1s]
artifacts/Test Results (py310-ubuntu-latest)/pytest.xml [took 2s]
artifacts/Test Results (py311-macos-latest)/pytest.xml [took 1s]
artifacts/Test Results (py311-onnx-weekly-macos-latest)/pytest.xml [took 1s]
artifacts/Test Results (py311-onnx-weekly-ubuntu-latest)/pytest.xml [took 1s]
artifacts/Test Results (py311-torch-nightly-macos-latest)/pytest.xml [took 2s]
artifacts/Test Results (py311-torch-nightly-ubuntu-latest)/pytest.xml [took 1s]
artifacts/Test Results (py311-ubuntu-latest)/pytest.xml [took 1s]
artifacts/Test Results (py312-torch-nightly-macos-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-ubuntu-latest)/pytest.xml [took 0s]
artifacts/Test Results (py38-macos-latest)/pytest.xml [took 1s]
artifacts/Test Results (py38-ubuntu-latest)/pytest.xml [took 1s]
artifacts/Test Results (py39-macos-latest)/pytest.xml [took 1s]
artifacts/Test Results (py39-ubuntu-latest)/pytest.xml [took 1s]
Raw output 
torch._dynamo.exc.Unsupported: Logger not supported for non-export cases

from user code:
   File "/Users/runner/work/onnxscript/onnxscript/onnxscript/tools/transformers_models/phi.py", line 115, in forward
    model_output = self.model(input_ids, attention_mask=attention_mask)
  File "/Users/runner/work/onnxscript/onnxscript/.nox/test_torch_nightly/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1567, in _call_impl
    return forward_call(*args, **kwargs)
  File "/Users/runner/work/onnxscript/onnxscript/.nox/test_torch_nightly/lib/python3.12/site-packages/transformers/models/phi/modeling_phi.py", line 1020, in forward
    logger.warning_once(

Set TORCH_LOGS="+dynamo" and TORCHDYNAMO_VERBOSE=1 for more information


You can suppress this exception and fall back to eager by setting:
    import torch._dynamo
    torch._dynamo.config.suppress_errors = True
onnxscript/tools/transformers_models/phi_test.py:74: in test_phi_dort_static
    results = compiled_model(*input_tensors)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/nn/modules/module.py:1558: in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/nn/modules/module.py:1567: in _call_impl
    return forward_call(*args, **kwargs)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/eval_frame.py:432: in _fn
    return fn(*args, **kwargs)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/nn/modules/module.py:1558: in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/nn/modules/module.py:1567: in _call_impl
    return forward_call(*args, **kwargs)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/convert_frame.py:1115: in __call__
    return self._torchdynamo_orig_callable(
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/convert_frame.py:471: in __call__
    return _compile(
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_utils_internal.py:83: in wrapper_function
    return StrobelightCompileTimeProfiler.profile_compile_time(
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_strobelight/compile_time_profiler.py:129: in profile_compile_time
    return func(*args, **kwargs)
/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/contextlib.py:81: in inner
    return func(*args, **kwds)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/convert_frame.py:816: in _compile
    guarded_code = compile_inner(code, one_graph, hooks, transform)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/utils.py:232: in time_wrapper
    r = func(*args, **kwargs)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/convert_frame.py:635: in compile_inner
    out_code = transform_code_object(code, transform)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/bytecode_transformation.py:1184: in transform_code_object
    transformations(instructions, code_options)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/convert_frame.py:177: in _fn
    return fn(*args, **kwargs)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/convert_frame.py:581: in transform
    tracer.run()
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:2450: in run
    super().run()
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:892: in run
    while self.step():
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:804: in step
    self.dispatch_table[inst.opcode](self, inst)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:498: in wrapper
    return inner_fn(self, inst)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:2058: in CALL
    self.call_function(fn, args, kwargs)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:742: in call_function
    self.push(fn.call_function(self, args, kwargs))
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/variables/nn_module.py:437: in call_function
    return tx.inline_user_function_return(
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:748: in inline_user_function_return
    return InliningInstructionTranslator.inline_call(self, fn, args, kwargs)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:2665: in inline_call
    return cls.inline_call_(parent, func, args, kwargs)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:2781: in inline_call_
    tracer.run()
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:892: in run
    while self.step():
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:804: in step
    self.dispatch_table[inst.opcode](self, inst)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:498: in wrapper
    return inner_fn(self, inst)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:1499: in CALL_FUNCTION_EX
    self.call_function(fn, argsvars.items, kwargsvars)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:742: in call_function
    self.push(fn.call_function(self, args, kwargs))
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/variables/functions.py:342: in call_function
    return super().call_function(tx, args, kwargs)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/variables/functions.py:294: in call_function
    return super().call_function(tx, args, kwargs)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/variables/functions.py:91: in call_function
    return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:748: in inline_user_function_return
    return InliningInstructionTranslator.inline_call(self, fn, args, kwargs)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:2665: in inline_call
    return cls.inline_call_(parent, func, args, kwargs)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:2781: in inline_call_
    tracer.run()
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:892: in run
    while self.step():
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:804: in step
    self.dispatch_table[inst.opcode](self, inst)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:498: in wrapper
    return inner_fn(self, inst)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:2058: in CALL
    self.call_function(fn, args, kwargs)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py:742: in call_function
    self.push(fn.call_function(self, args, kwargs))
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/variables/misc.py:680: in call_function
    return self.obj.call_method(tx, self.name, args, kwargs)
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/variables/misc.py:1093: in call_method
    unimplemented("Logger not supported for non-export cases")
.nox/test_torch_nightly/lib/python3.12/site-packages/torch/_dynamo/exc.py:220: in unimplemented
    raise Unsupported(msg)
E   torch._dynamo.exc.Unsupported: Logger not supported for non-export cases
E   
E   from user code:
E      File "/Users/runner/work/onnxscript/onnxscript/onnxscript/tools/transformers_models/phi.py", line 115, in forward
E       model_output = self.model(input_ids, attention_mask=attention_mask)
E     File "/Users/runner/work/onnxscript/onnxscript/.nox/test_torch_nightly/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1567, in _call_impl
E       return forward_call(*args, **kwargs)
E     File "/Users/runner/work/onnxscript/onnxscript/.nox/test_torch_nightly/lib/python3.12/site-packages/transformers/models/phi/modeling_phi.py", line 1020, in forward
E       logger.warning_once(
E   
E   Set TORCH_LOGS="+dynamo" and TORCHDYNAMO_VERBOSE=1 for more information
E   
E   
E   You can suppress this exception and fall back to eager by setting:
E       import torch._dynamo
E       torch._dynamo.config.suppress_errors = True

Check warning on line 0 in onnxscript.backend.onnx_export_test.TestOnnxBackEnd

See this annotation in the file changed.

@github-actions github-actions / Test Results

2 out of 6 runs failed: test_export2python_produces_correct_onnx_script_model_0663_test_mod_mixed_sign_float16 (onnxscript.backend.onnx_export_test.TestOnnxBackEnd) 

artifacts/Test Results (py311-torch-nightly-windows-latest)/pytest.xml [took 0s]
artifacts/Test Results (py312-torch-nightly-windows-latest)/pytest.xml [took 0s]
Raw output 
AssertionError: Unable to import 'tests.onnx_backend_test_code.test_mod_mixed_sign_float16' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_mod_mixed_sign_float16.py'))
----
import numpy
from onnx import TensorProto
from onnx.helper import make_tensor
from onnxscript import script, external_tensor
from onnxscript.values import Opset
from onnxscript.onnx_types import FLOAT16
from onnxscript.onnx_opset import opset13

@script()
def bck_test_mod_mixed_sign_float16(x: FLOAT16[6], y: FLOAT16[6]) -> (FLOAT16[6]):
    z = opset13.Mod(x, y, fmod=1)
    return z
onnxscript\backend\onnx_export_test.py:115: in extract_functions
    mod = importlib.import_module(import_name)
C:\hostedtoolcache\windows\Python\3.11.9\x64\Lib\importlib\__init__.py:126: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
E   ModuleNotFoundError: No module named 'tests.onnx_backend_test_code.test_mod_mixed_sign_float16'

The above exception was the direct cause of the following exception:
.nox\test_torch_nightly\Lib\site-packages\parameterized\parameterized.py:620: in standalone_func
    return func(*(a + p.args), **p.kwargs, **kw)
onnxscript\backend\onnx_export_test.py:246: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
onnxscript\backend\onnx_export_test.py:117: in extract_functions
    raise AssertionError(
E   AssertionError: Unable to import 'tests.onnx_backend_test_code.test_mod_mixed_sign_float16' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_mod_mixed_sign_float16.py'))
E   ----
E   import numpy
E   from onnx import TensorProto
E   from onnx.helper import make_tensor
E   from onnxscript import script, external_tensor
E   from onnxscript.values import Opset
E   from onnxscript.onnx_types import FLOAT16
E   from onnxscript.onnx_opset import opset13
E   
E   @script()
E   def bck_test_mod_mixed_sign_float16(x: FLOAT16[6], y: FLOAT16[6]) -> (FLOAT16[6]):
E       z = opset13.Mod(x, y, fmod=1)
E       return z

Check warning on line 0 in onnxscript.backend.onnx_export_test.TestOnnxBackEnd

See this annotation in the file changed.

@github-actions github-actions / Test Results

1 out of 6 runs failed: test_export2python_produces_correct_onnx_script_model_0881_test_reduce_min_default_axes_keepdims_example (onnxscript.backend.onnx_export_test.TestOnnxBackEnd) 

artifacts/Test Results (py311-ort-nightly-windows-latest)/pytest.xml [took 0s]
Raw output 
AssertionError: Unable to import 'tests.onnx_backend_test_code.test_reduce_min_default_axes_keepdims_example' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_reduce_min_default_axes_keepdims_example.py'))
----
import numpy
from onnx import TensorProto
from onnx.helper import make_tensor
from onnxscript import script, external_tensor
from onnxscript.values import Opset
from onnxscript.onnx_types import FLOAT
from onnxscript.onnx_opset import opset18

@script()
def bck_test_reduce_min_default_axes_keepdims_example(data: FLOAT[3,2,2]) -> (FLOAT[1,1,1]):
    reduced = opset18.ReduceMin(data, keepdims=1)
    return reduced
onnxscript\backend\onnx_export_test.py:115: in extract_functions
    mod = importlib.import_module(import_name)
C:\hostedtoolcache\windows\Python\3.11.9\x64\Lib\importlib\__init__.py:126: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
E   ModuleNotFoundError: No module named 'tests.onnx_backend_test_code.test_reduce_min_default_axes_keepdims_example'

The above exception was the direct cause of the following exception:
.nox\test_ort_nightly\Lib\site-packages\parameterized\parameterized.py:620: in standalone_func
    return func(*(a + p.args), **p.kwargs, **kw)
onnxscript\backend\onnx_export_test.py:246: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
onnxscript\backend\onnx_export_test.py:117: in extract_functions
    raise AssertionError(
E   AssertionError: Unable to import 'tests.onnx_backend_test_code.test_reduce_min_default_axes_keepdims_example' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_reduce_min_default_axes_keepdims_example.py'))
E   ----
E   import numpy
E   from onnx import TensorProto
E   from onnx.helper import make_tensor
E   from onnxscript import script, external_tensor
E   from onnxscript.values import Opset
E   from onnxscript.onnx_types import FLOAT
E   from onnxscript.onnx_opset import opset18
E   
E   @script()
E   def bck_test_reduce_min_default_axes_keepdims_example(data: FLOAT[3,2,2]) -> (FLOAT[1,1,1]):
E       reduced = opset18.ReduceMin(data, keepdims=1)
E       return reduced

Check warning on line 0 in onnxscript.backend.onnx_export_test.TestOnnxBackEnd

See this annotation in the file changed.

@github-actions github-actions / Test Results

1 out of 6 runs failed: test_export2python_produces_correct_onnx_script_model_0219_test_celu_expanded (onnxscript.backend.onnx_export_test.TestOnnxBackEnd) 

artifacts/Test Results (py311-torch-nightly-windows-latest)/pytest.xml [took 0s]
Raw output 
AssertionError: Unable to import 'tests.onnx_backend_test_code.test_celu_expanded' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_celu_expanded.py'))
----
import numpy
from onnx import TensorProto
from onnx.helper import make_tensor
from onnxscript import script, external_tensor
from onnxscript.values import Opset
from onnxscript.onnx_types import FLOAT
from onnxscript.onnx_opset import opset12

@script()
def bck_test_celu_expanded(X: FLOAT[3,3,3,1]) -> (FLOAT[3,3,3,1]):
    Celu_test_celu_expanded_function_alpha = opset12.Constant(value=make_tensor("value", 1, dims=[1], vals=[2.0]))
    Celu_test_celu_expanded_function_X_alpha = opset12.Div(X, Celu_test_celu_expanded_function_alpha)
    Celu_test_celu_expanded_function_Elu_Result = opset12.Elu(Celu_test_celu_expanded_function_X_alpha, alpha=1.0)
    Y = opset12.Mul(Celu_test_celu_expanded_function_alpha, Celu_test_celu_expanded_function_Elu_Result)
    return Y
onnxscript\backend\onnx_export_test.py:115: in extract_functions
    mod = importlib.import_module(import_name)
C:\hostedtoolcache\windows\Python\3.11.9\x64\Lib\importlib\__init__.py:126: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
E   ModuleNotFoundError: No module named 'tests.onnx_backend_test_code.test_celu_expanded'

The above exception was the direct cause of the following exception:
.nox\test_torch_nightly\Lib\site-packages\parameterized\parameterized.py:620: in standalone_func
    return func(*(a + p.args), **p.kwargs, **kw)
onnxscript\backend\onnx_export_test.py:246: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
onnxscript\backend\onnx_export_test.py:117: in extract_functions
    raise AssertionError(
E   AssertionError: Unable to import 'tests.onnx_backend_test_code.test_celu_expanded' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_celu_expanded.py'))
E   ----
E   import numpy
E   from onnx import TensorProto
E   from onnx.helper import make_tensor
E   from onnxscript import script, external_tensor
E   from onnxscript.values import Opset
E   from onnxscript.onnx_types import FLOAT
E   from onnxscript.onnx_opset import opset12
E   
E   @script()
E   def bck_test_celu_expanded(X: FLOAT[3,3,3,1]) -> (FLOAT[3,3,3,1]):
E       Celu_test_celu_expanded_function_alpha = opset12.Constant(value=make_tensor("value", 1, dims=[1], vals=[2.0]))
E       Celu_test_celu_expanded_function_X_alpha = opset12.Div(X, Celu_test_celu_expanded_function_alpha)
E       Celu_test_celu_expanded_function_Elu_Result = opset12.Elu(Celu_test_celu_expanded_function_X_alpha, alpha=1.0)
E       Y = opset12.Mul(Celu_test_celu_expanded_function_alpha, Celu_test_celu_expanded_function_Elu_Result)
E       return Y

Check warning on line 0 in onnxscript.backend.onnx_export_test.TestOnnxBackEnd

See this annotation in the file changed.

@github-actions github-actions / Test Results

1 out of 6 runs failed: test_export2python_produces_correct_onnx_script_model_0947_test_resize_downsample_scales_cubic_A_n0p5_exclude_outside (onnxscript.backend.onnx_export_test.TestOnnxBackEnd) 

artifacts/Test Results (py311-torch-nightly-windows-latest)/pytest.xml [took 0s]
Raw output 
AssertionError: Unable to import 'tests.onnx_backend_test_code.test_resize_downsample_scales_cubic_A_n0p5_exclude_outside' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_resize_downsample_scales_cubic_A_n0p5_exclude_outside.py'))
----
import numpy
from onnx import TensorProto
from onnx.helper import make_tensor
from onnxscript import script, external_tensor
from onnxscript.values import Opset
from onnxscript.onnx_types import FLOAT
from onnxscript.onnx_opset import opset19

@script()
def bck_test_resize_downsample_scales_cubic_A_n0p5_exclude_outside(X: FLOAT[1,1,4,4], scales: FLOAT[4]) -> (FLOAT[1,1,3,3]):
    Y = opset19.Resize(X, None, scales, cubic_coeff_a=-0.5, exclude_outside=1, mode='cubic')
    return Y
onnxscript\backend\onnx_export_test.py:115: in extract_functions
    mod = importlib.import_module(import_name)
C:\hostedtoolcache\windows\Python\3.11.9\x64\Lib\importlib\__init__.py:126: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
E   ModuleNotFoundError: No module named 'tests.onnx_backend_test_code.test_resize_downsample_scales_cubic_A_n0p5_exclude_outside'

The above exception was the direct cause of the following exception:
.nox\test_torch_nightly\Lib\site-packages\parameterized\parameterized.py:620: in standalone_func
    return func(*(a + p.args), **p.kwargs, **kw)
onnxscript\backend\onnx_export_test.py:246: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
onnxscript\backend\onnx_export_test.py:117: in extract_functions
    raise AssertionError(
E   AssertionError: Unable to import 'tests.onnx_backend_test_code.test_resize_downsample_scales_cubic_A_n0p5_exclude_outside' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_resize_downsample_scales_cubic_A_n0p5_exclude_outside.py'))
E   ----
E   import numpy
E   from onnx import TensorProto
E   from onnx.helper import make_tensor
E   from onnxscript import script, external_tensor
E   from onnxscript.values import Opset
E   from onnxscript.onnx_types import FLOAT
E   from onnxscript.onnx_opset import opset19
E   
E   @script()
E   def bck_test_resize_downsample_scales_cubic_A_n0p5_exclude_outside(X: FLOAT[1,1,4,4], scales: FLOAT[4]) -> (FLOAT[1,1,3,3]):
E       Y = opset19.Resize(X, None, scales, cubic_coeff_a=-0.5, exclude_outside=1, mode='cubic')
E       return Y

Check warning on line 0 in onnxscript.backend.onnx_export_test.TestOnnxBackEnd

See this annotation in the file changed.

@github-actions github-actions / Test Results

1 out of 6 runs failed: test_export2python_produces_correct_onnx_script_model_0865_test_reduce_max_default_axes_keepdim_example (onnxscript.backend.onnx_export_test.TestOnnxBackEnd) 

artifacts/Test Results (py311-ort-nightly-windows-latest)/pytest.xml [took 0s]
Raw output 
AssertionError: Unable to import 'tests.onnx_backend_test_code.test_reduce_max_default_axes_keepdim_example' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_reduce_max_default_axes_keepdim_example.py'))
----
import numpy
from onnx import TensorProto
from onnx.helper import make_tensor
from onnxscript import script, external_tensor
from onnxscript.values import Opset
from onnxscript.onnx_types import FLOAT
from onnxscript.onnx_opset import opset18

@script()
def bck_test_reduce_max_default_axes_keepdim_example(data: FLOAT[3,2,2]) -> (FLOAT[1,1,1]):
    reduced = opset18.ReduceMax(data, keepdims=1)
    return reduced
onnxscript\backend\onnx_export_test.py:115: in extract_functions
    mod = importlib.import_module(import_name)
C:\hostedtoolcache\windows\Python\3.11.9\x64\Lib\importlib\__init__.py:126: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
E   ModuleNotFoundError: No module named 'tests.onnx_backend_test_code.test_reduce_max_default_axes_keepdim_example'

The above exception was the direct cause of the following exception:
.nox\test_ort_nightly\Lib\site-packages\parameterized\parameterized.py:620: in standalone_func
    return func(*(a + p.args), **p.kwargs, **kw)
onnxscript\backend\onnx_export_test.py:246: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
onnxscript\backend\onnx_export_test.py:117: in extract_functions
    raise AssertionError(
E   AssertionError: Unable to import 'tests.onnx_backend_test_code.test_reduce_max_default_axes_keepdim_example' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_reduce_max_default_axes_keepdim_example.py'))
E   ----
E   import numpy
E   from onnx import TensorProto
E   from onnx.helper import make_tensor
E   from onnxscript import script, external_tensor
E   from onnxscript.values import Opset
E   from onnxscript.onnx_types import FLOAT
E   from onnxscript.onnx_opset import opset18
E   
E   @script()
E   def bck_test_reduce_max_default_axes_keepdim_example(data: FLOAT[3,2,2]) -> (FLOAT[1,1,1]):
E       reduced = opset18.ReduceMax(data, keepdims=1)
E       return reduced

Check warning on line 0 in onnxscript.backend.onnx_export_test.TestOnnxBackEnd

See this annotation in the file changed.

@github-actions github-actions / Test Results

1 out of 6 runs failed: test_export2python_produces_correct_onnx_script_model_0042_test_argmax_keepdims_random (onnxscript.backend.onnx_export_test.TestOnnxBackEnd) 

artifacts/Test Results (py311-torch-nightly-windows-latest)/pytest.xml [took 0s]
Raw output 
AssertionError: Unable to import 'tests.onnx_backend_test_code.test_argmax_keepdims_random' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_argmax_keepdims_random.py'))
----
import numpy
from onnx import TensorProto
from onnx.helper import make_tensor
from onnxscript import script, external_tensor
from onnxscript.values import Opset
from onnxscript.onnx_types import FLOAT, INT64
from onnxscript.onnx_opset import opset13

@script()
def bck_test_argmax_keepdims_random(data: FLOAT[2,3,4]) -> (INT64[2,1,4]):
    result = opset13.ArgMax(data, axis=1, keepdims=1)
    return result
onnxscript\backend\onnx_export_test.py:115: in extract_functions
    mod = importlib.import_module(import_name)
C:\hostedtoolcache\windows\Python\3.11.9\x64\Lib\importlib\__init__.py:126: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
E   ModuleNotFoundError: No module named 'tests.onnx_backend_test_code.test_argmax_keepdims_random'

The above exception was the direct cause of the following exception:
.nox\test_torch_nightly\Lib\site-packages\parameterized\parameterized.py:620: in standalone_func
    return func(*(a + p.args), **p.kwargs, **kw)
onnxscript\backend\onnx_export_test.py:246: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
onnxscript\backend\onnx_export_test.py:117: in extract_functions
    raise AssertionError(
E   AssertionError: Unable to import 'tests.onnx_backend_test_code.test_argmax_keepdims_random' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_argmax_keepdims_random.py'))
E   ----
E   import numpy
E   from onnx import TensorProto
E   from onnx.helper import make_tensor
E   from onnxscript import script, external_tensor
E   from onnxscript.values import Opset
E   from onnxscript.onnx_types import FLOAT, INT64
E   from onnxscript.onnx_opset import opset13
E   
E   @script()
E   def bck_test_argmax_keepdims_random(data: FLOAT[2,3,4]) -> (INT64[2,1,4]):
E       result = opset13.ArgMax(data, axis=1, keepdims=1)
E       return result

Check warning on line 0 in onnxscript.backend.onnx_export_test.TestOnnxBackEnd

See this annotation in the file changed.

@github-actions github-actions / Test Results

1 out of 6 runs failed: test_export2python_produces_correct_onnx_script_model_0614_test_maxpool_2d_precomputed_strides (onnxscript.backend.onnx_export_test.TestOnnxBackEnd) 

artifacts/Test Results (py311-ort-nightly-windows-latest)/pytest.xml [took 0s]
Raw output 
AssertionError: Unable to import 'tests.onnx_backend_test_code.test_maxpool_2d_precomputed_strides' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_maxpool_2d_precomputed_strides.py'))
----
import numpy
from onnx import TensorProto
from onnx.helper import make_tensor
from onnxscript import script, external_tensor
from onnxscript.values import Opset
from onnxscript.onnx_types import FLOAT
from onnxscript.onnx_opset import opset12

@script()
def bck_test_maxpool_2d_precomputed_strides(x: FLOAT[1,1,5,5]) -> (FLOAT[1,1,2,2]):
    y = opset12.MaxPool(x, kernel_shape=[2, 2], strides=[2, 2])
    return y
onnxscript\backend\onnx_export_test.py:115: in extract_functions
    mod = importlib.import_module(import_name)
C:\hostedtoolcache\windows\Python\3.11.9\x64\Lib\importlib\__init__.py:126: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
E   ModuleNotFoundError: No module named 'tests.onnx_backend_test_code.test_maxpool_2d_precomputed_strides'

The above exception was the direct cause of the following exception:
.nox\test_ort_nightly\Lib\site-packages\parameterized\parameterized.py:620: in standalone_func
    return func(*(a + p.args), **p.kwargs, **kw)
onnxscript\backend\onnx_export_test.py:246: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
onnxscript\backend\onnx_export_test.py:117: in extract_functions
    raise AssertionError(
E   AssertionError: Unable to import 'tests.onnx_backend_test_code.test_maxpool_2d_precomputed_strides' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_maxpool_2d_precomputed_strides.py'))
E   ----
E   import numpy
E   from onnx import TensorProto
E   from onnx.helper import make_tensor
E   from onnxscript import script, external_tensor
E   from onnxscript.values import Opset
E   from onnxscript.onnx_types import FLOAT
E   from onnxscript.onnx_opset import opset12
E   
E   @script()
E   def bck_test_maxpool_2d_precomputed_strides(x: FLOAT[1,1,5,5]) -> (FLOAT[1,1,2,2]):
E       y = opset12.MaxPool(x, kernel_shape=[2, 2], strides=[2, 2])
E       return y

Check warning on line 0 in onnxscript.backend.onnx_export_test.TestOnnxBackEnd

See this annotation in the file changed.

@github-actions github-actions / Test Results

1 out of 6 runs failed: test_export2python_produces_correct_onnx_script_model_0823_test_reduce_l2_do_not_keepdims_random (onnxscript.backend.onnx_export_test.TestOnnxBackEnd) 

artifacts/Test Results (py311-torch-nightly-windows-latest)/pytest.xml [took 0s]
Raw output 
AssertionError: Unable to import 'tests.onnx_backend_test_code.test_reduce_l2_do_not_keepdims_random' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_reduce_l2_do_not_keepdims_random.py'))
----
import numpy
from onnx import TensorProto
from onnx.helper import make_tensor
from onnxscript import script, external_tensor
from onnxscript.values import Opset
from onnxscript.onnx_types import FLOAT, INT64
from onnxscript.onnx_opset import opset18

@script()
def bck_test_reduce_l2_do_not_keepdims_random(data: FLOAT[3,2,2], axes: INT64[1]) -> (FLOAT[3,2]):
    reduced = opset18.ReduceL2(data, axes, keepdims=0)
    return reduced
onnxscript\backend\onnx_export_test.py:115: in extract_functions
    mod = importlib.import_module(import_name)
C:\hostedtoolcache\windows\Python\3.11.9\x64\Lib\importlib\__init__.py:126: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
E   ModuleNotFoundError: No module named 'tests.onnx_backend_test_code.test_reduce_l2_do_not_keepdims_random'

The above exception was the direct cause of the following exception:
.nox\test_torch_nightly\Lib\site-packages\parameterized\parameterized.py:620: in standalone_func
    return func(*(a + p.args), **p.kwargs, **kw)
onnxscript\backend\onnx_export_test.py:246: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
onnxscript\backend\onnx_export_test.py:117: in extract_functions
    raise AssertionError(
E   AssertionError: Unable to import 'tests.onnx_backend_test_code.test_reduce_l2_do_not_keepdims_random' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_reduce_l2_do_not_keepdims_random.py'))
E   ----
E   import numpy
E   from onnx import TensorProto
E   from onnx.helper import make_tensor
E   from onnxscript import script, external_tensor
E   from onnxscript.values import Opset
E   from onnxscript.onnx_types import FLOAT, INT64
E   from onnxscript.onnx_opset import opset18
E   
E   @script()
E   def bck_test_reduce_l2_do_not_keepdims_random(data: FLOAT[3,2,2], axes: INT64[1]) -> (FLOAT[3,2]):
E       reduced = opset18.ReduceL2(data, axes, keepdims=0)
E       return reduced

Check warning on line 0 in onnxscript.backend.onnx_export_test.TestOnnxBackEnd

See this annotation in the file changed.

@github-actions github-actions / Test Results

1 out of 6 runs failed: test_export2python_produces_correct_onnx_script_model_0995_test_scatter_elements_without_axis (onnxscript.backend.onnx_export_test.TestOnnxBackEnd) 

artifacts/Test Results (py311-ort-nightly-windows-latest)/pytest.xml [took 0s]
Raw output 
AssertionError: Unable to import 'tests.onnx_backend_test_code.test_scatter_elements_without_axis' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_scatter_elements_without_axis.py'))
----
import numpy
from onnx import TensorProto
from onnx.helper import make_tensor
from onnxscript import script, external_tensor
from onnxscript.values import Opset
from onnxscript.onnx_types import FLOAT, INT64
from onnxscript.onnx_opset import opset18

@script()
def bck_test_scatter_elements_without_axis(data: FLOAT[3,3], indices: INT64[2,3], updates: FLOAT[2,3]) -> (FLOAT[3,3]):
    y = opset18.ScatterElements(data, indices, updates)
    return y
onnxscript\backend\onnx_export_test.py:115: in extract_functions
    mod = importlib.import_module(import_name)
C:\hostedtoolcache\windows\Python\3.11.9\x64\Lib\importlib\__init__.py:126: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
E   ModuleNotFoundError: No module named 'tests.onnx_backend_test_code.test_scatter_elements_without_axis'

The above exception was the direct cause of the following exception:
.nox\test_ort_nightly\Lib\site-packages\parameterized\parameterized.py:620: in standalone_func
    return func(*(a + p.args), **p.kwargs, **kw)
onnxscript\backend\onnx_export_test.py:246: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
onnxscript\backend\onnx_export_test.py:117: in extract_functions
    raise AssertionError(
E   AssertionError: Unable to import 'tests.onnx_backend_test_code.test_scatter_elements_without_axis' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_scatter_elements_without_axis.py'))
E   ----
E   import numpy
E   from onnx import TensorProto
E   from onnx.helper import make_tensor
E   from onnxscript import script, external_tensor
E   from onnxscript.values import Opset
E   from onnxscript.onnx_types import FLOAT, INT64
E   from onnxscript.onnx_opset import opset18
E   
E   @script()
E   def bck_test_scatter_elements_without_axis(data: FLOAT[3,3], indices: INT64[2,3], updates: FLOAT[2,3]) -> (FLOAT[3,3]):
E       y = opset18.ScatterElements(data, indices, updates)
E       return y

Check warning on line 0 in onnxscript.backend.onnx_export_test.TestOnnxBackEnd

See this annotation in the file changed.

@github-actions github-actions / Test Results

1 out of 6 runs failed: test_export2python_produces_correct_onnx_script_model_0733_test_not_3d (onnxscript.backend.onnx_export_test.TestOnnxBackEnd) 

artifacts/Test Results (py311-torch-nightly-windows-latest)/pytest.xml [took 0s]
Raw output 
AssertionError: Unable to import 'tests.onnx_backend_test_code.test_not_3d' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_not_3d.py'))
----
import numpy
from onnx import TensorProto
from onnx.helper import make_tensor
from onnxscript import script, external_tensor
from onnxscript.values import Opset
from onnxscript.onnx_types import BOOL
from onnxscript.onnx_opset import opset1

@script()
def bck_test_not_3d(x: BOOL[3,4,5]) -> (BOOL[3,4,5]):
    r_not = opset1.Not(x)
    return r_not
onnxscript\backend\onnx_export_test.py:115: in extract_functions
    mod = importlib.import_module(import_name)
C:\hostedtoolcache\windows\Python\3.11.9\x64\Lib\importlib\__init__.py:126: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
E   ModuleNotFoundError: No module named 'tests.onnx_backend_test_code.test_not_3d'

The above exception was the direct cause of the following exception:
.nox\test_torch_nightly\Lib\site-packages\parameterized\parameterized.py:620: in standalone_func
    return func(*(a + p.args), **p.kwargs, **kw)
onnxscript\backend\onnx_export_test.py:246: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
onnxscript\backend\onnx_export_test.py:117: in extract_functions
    raise AssertionError(
E   AssertionError: Unable to import 'tests.onnx_backend_test_code.test_not_3d' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_not_3d.py'))
E   ----
E   import numpy
E   from onnx import TensorProto
E   from onnx.helper import make_tensor
E   from onnxscript import script, external_tensor
E   from onnxscript.values import Opset
E   from onnxscript.onnx_types import BOOL
E   from onnxscript.onnx_opset import opset1
E   
E   @script()
E   def bck_test_not_3d(x: BOOL[3,4,5]) -> (BOOL[3,4,5]):
E       r_not = opset1.Not(x)
E       return r_not

Check warning on line 0 in onnxscript.backend.onnx_export_test.TestOnnxBackEnd

See this annotation in the file changed.

@github-actions github-actions / Test Results

1 out of 6 runs failed: test_export2python_produces_correct_onnx_script_model_0575_test_logsoftmax_example_1 (onnxscript.backend.onnx_export_test.TestOnnxBackEnd) 

artifacts/Test Results (py311-onnx-weekly-windows-latest)/pytest.xml [took 0s]
Raw output 
AssertionError: Unable to import 'tests.onnx_backend_test_code.test_logsoftmax_example_1' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_logsoftmax_example_1.py'))
----
import numpy
from onnx import TensorProto
from onnx.helper import make_tensor
from onnxscript import script, external_tensor
from onnxscript.values import Opset
from onnxscript.onnx_types import FLOAT
from onnxscript.onnx_opset import opset13

@script()
def bck_test_logsoftmax_example_1(x: FLOAT[1,3]) -> (FLOAT[1,3]):
    y = opset13.LogSoftmax(x)
    return y
onnxscript\backend\onnx_export_test.py:115: in extract_functions
    mod = importlib.import_module(import_name)
C:\hostedtoolcache\windows\Python\3.11.9\x64\Lib\importlib\__init__.py:126: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
E   ModuleNotFoundError: No module named 'tests.onnx_backend_test_code.test_logsoftmax_example_1'

The above exception was the direct cause of the following exception:
.nox\test_onnx_weekly\Lib\site-packages\parameterized\parameterized.py:620: in standalone_func
    return func(*(a + p.args), **p.kwargs, **kw)
onnxscript\backend\onnx_export_test.py:246: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
onnxscript\backend\onnx_export_test.py:117: in extract_functions
    raise AssertionError(
E   AssertionError: Unable to import 'tests.onnx_backend_test_code.test_logsoftmax_example_1' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_logsoftmax_example_1.py'))
E   ----
E   import numpy
E   from onnx import TensorProto
E   from onnx.helper import make_tensor
E   from onnxscript import script, external_tensor
E   from onnxscript.values import Opset
E   from onnxscript.onnx_types import FLOAT
E   from onnxscript.onnx_opset import opset13
E   
E   @script()
E   def bck_test_logsoftmax_example_1(x: FLOAT[1,3]) -> (FLOAT[1,3]):
E       y = opset13.LogSoftmax(x)
E       return y

Check warning on line 0 in onnxscript.backend.onnx_export_test.TestOnnxBackEnd

See this annotation in the file changed.

@github-actions github-actions / Test Results

1 out of 6 runs failed: test_export2python_produces_correct_onnx_script_model_0382_test_gathernd_example_float32 (onnxscript.backend.onnx_export_test.TestOnnxBackEnd) 

artifacts/Test Results (py311-torch-nightly-windows-latest)/pytest.xml [took 0s]
Raw output 
AssertionError: Unable to import 'tests.onnx_backend_test_code.test_gathernd_example_float32' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_gathernd_example_float32.py'))
----
import numpy
from onnx import TensorProto
from onnx.helper import make_tensor
from onnxscript import script, external_tensor
from onnxscript.values import Opset
from onnxscript.onnx_types import FLOAT, INT64
from onnxscript.onnx_opset import opset13

@script()
def bck_test_gathernd_example_float32(data: FLOAT[2,2,2], indices: INT64[2,1,2]) -> (FLOAT[2,1,2]):
    output = opset13.GatherND(data, indices)
    return output
onnxscript\backend\onnx_export_test.py:115: in extract_functions
    mod = importlib.import_module(import_name)
C:\hostedtoolcache\windows\Python\3.11.9\x64\Lib\importlib\__init__.py:126: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
E   ModuleNotFoundError: No module named 'tests.onnx_backend_test_code.test_gathernd_example_float32'

The above exception was the direct cause of the following exception:
.nox\test_torch_nightly\Lib\site-packages\parameterized\parameterized.py:620: in standalone_func
    return func(*(a + p.args), **p.kwargs, **kw)
onnxscript\backend\onnx_export_test.py:246: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
onnxscript\backend\onnx_export_test.py:117: in extract_functions
    raise AssertionError(
E   AssertionError: Unable to import 'tests.onnx_backend_test_code.test_gathernd_example_float32' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_gathernd_example_float32.py'))
E   ----
E   import numpy
E   from onnx import TensorProto
E   from onnx.helper import make_tensor
E   from onnxscript import script, external_tensor
E   from onnxscript.values import Opset
E   from onnxscript.onnx_types import FLOAT, INT64
E   from onnxscript.onnx_opset import opset13
E   
E   @script()
E   def bck_test_gathernd_example_float32(data: FLOAT[2,2,2], indices: INT64[2,1,2]) -> (FLOAT[2,1,2]):
E       output = opset13.GatherND(data, indices)
E       return output

Check warning on line 0 in onnxscript.backend.onnx_export_test.TestOnnxBackEnd

See this annotation in the file changed.

@github-actions github-actions / Test Results

1 out of 6 runs failed: test_export2python_produces_correct_onnx_script_model_0416_test_greater_bcast (onnxscript.backend.onnx_export_test.TestOnnxBackEnd) 

artifacts/Test Results (py311-torch-nightly-windows-latest)/pytest.xml [took 0s]
Raw output 
AssertionError: Unable to import 'tests.onnx_backend_test_code.test_greater_bcast' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_greater_bcast.py'))
----
import numpy
from onnx import TensorProto
from onnx.helper import make_tensor
from onnxscript import script, external_tensor
from onnxscript.values import Opset
from onnxscript.onnx_types import BOOL, FLOAT
from onnxscript.onnx_opset import opset13

@script()
def bck_test_greater_bcast(x: FLOAT[3,4,5], y: FLOAT[5]) -> (BOOL[3,4,5]):
    greater = opset13.Greater(x, y)
    return greater
onnxscript\backend\onnx_export_test.py:115: in extract_functions
    mod = importlib.import_module(import_name)
C:\hostedtoolcache\windows\Python\3.11.9\x64\Lib\importlib\__init__.py:126: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
E   ModuleNotFoundError: No module named 'tests.onnx_backend_test_code.test_greater_bcast'

The above exception was the direct cause of the following exception:
.nox\test_torch_nightly\Lib\site-packages\parameterized\parameterized.py:620: in standalone_func
    return func(*(a + p.args), **p.kwargs, **kw)
onnxscript\backend\onnx_export_test.py:246: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
onnxscript\backend\onnx_export_test.py:117: in extract_functions
    raise AssertionError(
E   AssertionError: Unable to import 'tests.onnx_backend_test_code.test_greater_bcast' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_greater_bcast.py'))
E   ----
E   import numpy
E   from onnx import TensorProto
E   from onnx.helper import make_tensor
E   from onnxscript import script, external_tensor
E   from onnxscript.values import Opset
E   from onnxscript.onnx_types import BOOL, FLOAT
E   from onnxscript.onnx_opset import opset13
E   
E   @script()
E   def bck_test_greater_bcast(x: FLOAT[3,4,5], y: FLOAT[5]) -> (BOOL[3,4,5]):
E       greater = opset13.Greater(x, y)
E       return greater

Check warning on line 0 in onnxscript.backend.onnx_export_test.TestOnnxBackEnd

See this annotation in the file changed.

@github-actions github-actions / Test Results

1 out of 6 runs failed: test_export2python_produces_correct_onnx_script_model_0948_test_resize_downsample_scales_linear (onnxscript.backend.onnx_export_test.TestOnnxBackEnd) 

artifacts/Test Results (py311-ort-nightly-windows-latest)/pytest.xml [took 0s]
Raw output 
AssertionError: Unable to import 'tests.onnx_backend_test_code.test_resize_downsample_scales_linear' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_resize_downsample_scales_linear.py'))
----
import numpy
from onnx import TensorProto
from onnx.helper import make_tensor
from onnxscript import script, external_tensor
from onnxscript.values import Opset
from onnxscript.onnx_types import FLOAT
from onnxscript.onnx_opset import opset19

@script()
def bck_test_resize_downsample_scales_linear(X: FLOAT[1,1,2,4], scales: FLOAT[4]) -> (FLOAT[1,1,1,2]):
    Y = opset19.Resize(X, None, scales, mode='linear')
    return Y
onnxscript\backend\onnx_export_test.py:115: in extract_functions
    mod = importlib.import_module(import_name)
C:\hostedtoolcache\windows\Python\3.11.9\x64\Lib\importlib\__init__.py:126: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
E   ModuleNotFoundError: No module named 'tests.onnx_backend_test_code.test_resize_downsample_scales_linear'

The above exception was the direct cause of the following exception:
.nox\test_ort_nightly\Lib\site-packages\parameterized\parameterized.py:620: in standalone_func
    return func(*(a + p.args), **p.kwargs, **kw)
onnxscript\backend\onnx_export_test.py:246: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
onnxscript\backend\onnx_export_test.py:117: in extract_functions
    raise AssertionError(
E   AssertionError: Unable to import 'tests.onnx_backend_test_code.test_resize_downsample_scales_linear' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_resize_downsample_scales_linear.py'))
E   ----
E   import numpy
E   from onnx import TensorProto
E   from onnx.helper import make_tensor
E   from onnxscript import script, external_tensor
E   from onnxscript.values import Opset
E   from onnxscript.onnx_types import FLOAT
E   from onnxscript.onnx_opset import opset19
E   
E   @script()
E   def bck_test_resize_downsample_scales_linear(X: FLOAT[1,1,2,4], scales: FLOAT[4]) -> (FLOAT[1,1,1,2]):
E       Y = opset19.Resize(X, None, scales, mode='linear')
E       return Y

Check warning on line 0 in onnxscript.backend.onnx_export_test.TestOnnxBackEnd

See this annotation in the file changed.

@github-actions github-actions / Test Results

1 out of 6 runs failed: test_export2python_produces_correct_onnx_script_model_0877_test_reduce_mean_keepdims_random (onnxscript.backend.onnx_export_test.TestOnnxBackEnd) 

artifacts/Test Results (py311-onnx-weekly-windows-latest)/pytest.xml [took 0s]
Raw output 
AssertionError: Unable to import 'tests.onnx_backend_test_code.test_reduce_mean_keepdims_random' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_reduce_mean_keepdims_random.py'))
----
import numpy
from onnx import TensorProto
from onnx.helper import make_tensor
from onnxscript import script, external_tensor
from onnxscript.values import Opset
from onnxscript.onnx_types import FLOAT, INT64
from onnxscript.onnx_opset import opset18

@script()
def bck_test_reduce_mean_keepdims_random(data: FLOAT[3,2,2], axes: INT64[1]) -> (FLOAT[3,1,2]):
    reduced = opset18.ReduceMean(data, axes, keepdims=1)
    return reduced
onnxscript\backend\onnx_export_test.py:115: in extract_functions
    mod = importlib.import_module(import_name)
C:\hostedtoolcache\windows\Python\3.11.9\x64\Lib\importlib\__init__.py:126: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
E   ModuleNotFoundError: No module named 'tests.onnx_backend_test_code.test_reduce_mean_keepdims_random'

The above exception was the direct cause of the following exception:
.nox\test_onnx_weekly\Lib\site-packages\parameterized\parameterized.py:620: in standalone_func
    return func(*(a + p.args), **p.kwargs, **kw)
onnxscript\backend\onnx_export_test.py:246: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
onnxscript\backend\onnx_export_test.py:117: in extract_functions
    raise AssertionError(
E   AssertionError: Unable to import 'tests.onnx_backend_test_code.test_reduce_mean_keepdims_random' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_reduce_mean_keepdims_random.py'))
E   ----
E   import numpy
E   from onnx import TensorProto
E   from onnx.helper import make_tensor
E   from onnxscript import script, external_tensor
E   from onnxscript.values import Opset
E   from onnxscript.onnx_types import FLOAT, INT64
E   from onnxscript.onnx_opset import opset18
E   
E   @script()
E   def bck_test_reduce_mean_keepdims_random(data: FLOAT[3,2,2], axes: INT64[1]) -> (FLOAT[3,1,2]):
E       reduced = opset18.ReduceMean(data, axes, keepdims=1)
E       return reduced

Check warning on line 0 in onnxscript.backend.onnx_export_test.TestOnnxBackEnd

See this annotation in the file changed.

@github-actions github-actions / Test Results

1 out of 6 runs failed: test_export2python_produces_correct_onnx_script_model_0102_test_batchnorm_example_training_mode (onnxscript.backend.onnx_export_test.TestOnnxBackEnd) 

artifacts/Test Results (py311-ort-nightly-windows-latest)/pytest.xml [took 0s]
Raw output 
AssertionError: Unable to import 'tests.onnx_backend_test_code.test_batchnorm_example_training_mode' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_batchnorm_example_training_mode.py'))
----
import numpy
from onnx import TensorProto
from onnx.helper import make_tensor
from onnxscript import script, external_tensor
from onnxscript.values import Opset
from onnxscript.onnx_types import FLOAT
from onnxscript.onnx_opset import opset15

@script()
def bck_test_batchnorm_example_training_mode(x: FLOAT[2,3,4,5], s: FLOAT[3], bias: FLOAT[3], mean: FLOAT[3], var: FLOAT[3]) -> (FLOAT[2,3,4,5], FLOAT[3], FLOAT[3]):
    y, output_mean, output_var = opset15.BatchNormalization(x, s, bias, mean, var, training_mode=1)
    return y, output_mean, output_var
onnxscript\backend\onnx_export_test.py:115: in extract_functions
    mod = importlib.import_module(import_name)
C:\hostedtoolcache\windows\Python\3.11.9\x64\Lib\importlib\__init__.py:126: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
E   ModuleNotFoundError: No module named 'tests.onnx_backend_test_code.test_batchnorm_example_training_mode'

The above exception was the direct cause of the following exception:
.nox\test_ort_nightly\Lib\site-packages\parameterized\parameterized.py:620: in standalone_func
    return func(*(a + p.args), **p.kwargs, **kw)
onnxscript\backend\onnx_export_test.py:246: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
onnxscript\backend\onnx_export_test.py:117: in extract_functions
    raise AssertionError(
E   AssertionError: Unable to import 'tests.onnx_backend_test_code.test_batchnorm_example_training_mode' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_batchnorm_example_training_mode.py'))
E   ----
E   import numpy
E   from onnx import TensorProto
E   from onnx.helper import make_tensor
E   from onnxscript import script, external_tensor
E   from onnxscript.values import Opset
E   from onnxscript.onnx_types import FLOAT
E   from onnxscript.onnx_opset import opset15
E   
E   @script()
E   def bck_test_batchnorm_example_training_mode(x: FLOAT[2,3,4,5], s: FLOAT[3], bias: FLOAT[3], mean: FLOAT[3], var: FLOAT[3]) -> (FLOAT[2,3,4,5], FLOAT[3], FLOAT[3]):
E       y, output_mean, output_var = opset15.BatchNormalization(x, s, bias, mean, var, training_mode=1)
E       return y, output_mean, output_var

Check warning on line 0 in onnxscript.backend.onnx_export_test.TestOnnxBackEnd

See this annotation in the file changed.

@github-actions github-actions / Test Results

1 out of 6 runs failed: test_export2python_produces_correct_onnx_script_model_0304_test_cumsum_1d_reverse_exclusive (onnxscript.backend.onnx_export_test.TestOnnxBackEnd) 

artifacts/Test Results (py312-torch-nightly-windows-latest)/pytest.xml [took 0s]
Raw output 
AssertionError: Unable to import 'tests.onnx_backend_test_code.test_cumsum_1d_reverse_exclusive' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_cumsum_1d_reverse_exclusive.py'))
----
import numpy
from onnx import TensorProto
from onnx.helper import make_tensor
from onnxscript import script, external_tensor
from onnxscript.values import Opset
from onnxscript.onnx_types import DOUBLE, INT32
from onnxscript.onnx_opset import opset14

@script()
def bck_test_cumsum_1d_reverse_exclusive(x: DOUBLE[5], axis: INT32) -> (DOUBLE[5]):
    y = opset14.CumSum(x, axis, exclusive=1, reverse=1)
    return y
onnxscript\backend\onnx_export_test.py:115: in extract_functions
    mod = importlib.import_module(import_name)
C:\hostedtoolcache\windows\Python\3.12.4\x64\Lib\importlib\__init__.py:90: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
E   ModuleNotFoundError: No module named 'tests.onnx_backend_test_code.test_cumsum_1d_reverse_exclusive'

The above exception was the direct cause of the following exception:
.nox\test_torch_nightly\Lib\site-packages\parameterized\parameterized.py:620: in standalone_func
    return func(*(a + p.args), **p.kwargs, **kw)
onnxscript\backend\onnx_export_test.py:246: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
onnxscript\backend\onnx_export_test.py:117: in extract_functions
    raise AssertionError(
E   AssertionError: Unable to import 'tests.onnx_backend_test_code.test_cumsum_1d_reverse_exclusive' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_cumsum_1d_reverse_exclusive.py'))
E   ----
E   import numpy
E   from onnx import TensorProto
E   from onnx.helper import make_tensor
E   from onnxscript import script, external_tensor
E   from onnxscript.values import Opset
E   from onnxscript.onnx_types import DOUBLE, INT32
E   from onnxscript.onnx_opset import opset14
E   
E   @script()
E   def bck_test_cumsum_1d_reverse_exclusive(x: DOUBLE[5], axis: INT32) -> (DOUBLE[5]):
E       y = opset14.CumSum(x, axis, exclusive=1, reverse=1)
E       return y

Check warning on line 0 in onnxscript.backend.onnx_export_test.TestOnnxBackEnd

See this annotation in the file changed.

@github-actions github-actions / Test Results

1 out of 6 runs failed: test_export2python_produces_correct_onnx_script_model_1072_test_selu_default (onnxscript.backend.onnx_export_test.TestOnnxBackEnd) 

artifacts/Test Results (py311-ort-nightly-windows-latest)/pytest.xml [took 0s]
Raw output 
AssertionError: Unable to import 'tests.onnx_backend_test_code.test_selu_default' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_selu_default.py'))
----
import numpy
from onnx import TensorProto
from onnx.helper import make_tensor
from onnxscript import script, external_tensor
from onnxscript.values import Opset
from onnxscript.onnx_types import FLOAT
from onnxscript.onnx_opset import opset6

@script()
def bck_test_selu_default(x: FLOAT[3,4,5]) -> (FLOAT[3,4,5]):
    y = opset6.Selu(x)
    return y
onnxscript\backend\onnx_export_test.py:115: in extract_functions
    mod = importlib.import_module(import_name)
C:\hostedtoolcache\windows\Python\3.11.9\x64\Lib\importlib\__init__.py:126: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
E   ModuleNotFoundError: No module named 'tests.onnx_backend_test_code.test_selu_default'

The above exception was the direct cause of the following exception:
.nox\test_ort_nightly\Lib\site-packages\parameterized\parameterized.py:620: in standalone_func
    return func(*(a + p.args), **p.kwargs, **kw)
onnxscript\backend\onnx_export_test.py:246: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
onnxscript\backend\onnx_export_test.py:117: in extract_functions
    raise AssertionError(
E   AssertionError: Unable to import 'tests.onnx_backend_test_code.test_selu_default' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_selu_default.py'))
E   ----
E   import numpy
E   from onnx import TensorProto
E   from onnx.helper import make_tensor
E   from onnxscript import script, external_tensor
E   from onnxscript.values import Opset
E   from onnxscript.onnx_types import FLOAT
E   from onnxscript.onnx_opset import opset6
E   
E   @script()
E   def bck_test_selu_default(x: FLOAT[3,4,5]) -> (FLOAT[3,4,5]):
E       y = opset6.Selu(x)
E       return y

Check warning on line 0 in onnxscript.backend.onnx_export_test.TestOnnxBackEnd

See this annotation in the file changed.

@github-actions github-actions / Test Results

1 out of 6 runs failed: test_export2python_produces_correct_onnx_script_model_0453_test_hannwindow_symmetric (onnxscript.backend.onnx_export_test.TestOnnxBackEnd) 

artifacts/Test Results (py310-windows-latest)/pytest.xml [took 0s]
Raw output 
AssertionError: Unable to import 'tests.onnx_backend_test_code.test_hannwindow_symmetric' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_hannwindow_symmetric.py'))
----
import numpy
from onnx import TensorProto
from onnx.helper import make_tensor
from onnxscript import script, external_tensor
from onnxscript.values import Opset
from onnxscript.onnx_types import FLOAT, INT32
from onnxscript.onnx_opset import opset17

@script()
def bck_test_hannwindow_symmetric(x: INT32) -> (FLOAT[10]):
    y = opset17.HannWindow(x, periodic=0)
    return y
onnxscript\backend\onnx_export_test.py:115: in extract_functions
    mod = importlib.import_module(import_name)
C:\hostedtoolcache\windows\Python\3.10.11\x64\lib\importlib\__init__.py:126: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
E   ModuleNotFoundError: No module named 'tests.onnx_backend_test_code.test_hannwindow_symmetric'

The above exception was the direct cause of the following exception:
.nox\test\lib\site-packages\parameterized\parameterized.py:620: in standalone_func
    return func(*(a + p.args), **p.kwargs, **kw)
onnxscript\backend\onnx_export_test.py:246: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
onnxscript\backend\onnx_export_test.py:117: in extract_functions
    raise AssertionError(
E   AssertionError: Unable to import 'tests.onnx_backend_test_code.test_hannwindow_symmetric' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_hannwindow_symmetric.py'))
E   ----
E   import numpy
E   from onnx import TensorProto
E   from onnx.helper import make_tensor
E   from onnxscript import script, external_tensor
E   from onnxscript.values import Opset
E   from onnxscript.onnx_types import FLOAT, INT32
E   from onnxscript.onnx_opset import opset17
E   
E   @script()
E   def bck_test_hannwindow_symmetric(x: INT32) -> (FLOAT[10]):
E       y = opset17.HannWindow(x, periodic=0)
E       return y

Check warning on line 0 in onnxscript.backend.onnx_export_test.TestOnnxBackEnd

See this annotation in the file changed.

@github-actions github-actions / Test Results

1 out of 6 runs failed: test_export2python_produces_correct_onnx_script_model_0489_test_isinf_negative (onnxscript.backend.onnx_export_test.TestOnnxBackEnd) 

artifacts/Test Results (py312-torch-nightly-windows-latest)/pytest.xml [took 0s]
Raw output 
AssertionError: Unable to import 'tests.onnx_backend_test_code.test_isinf_negative' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_isinf_negative.py'))
----
import numpy
from onnx import TensorProto
from onnx.helper import make_tensor
from onnxscript import script, external_tensor
from onnxscript.values import Opset
from onnxscript.onnx_types import BOOL, FLOAT
from onnxscript.onnx_opset import opset20

@script()
def bck_test_isinf_negative(x: FLOAT[6]) -> (BOOL[6]):
    y = opset20.IsInf(x, detect_positive=0)
    return y
onnxscript\backend\onnx_export_test.py:115: in extract_functions
    mod = importlib.import_module(import_name)
C:\hostedtoolcache\windows\Python\3.12.4\x64\Lib\importlib\__init__.py:90: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
E   ModuleNotFoundError: No module named 'tests.onnx_backend_test_code.test_isinf_negative'

The above exception was the direct cause of the following exception:
.nox\test_torch_nightly\Lib\site-packages\parameterized\parameterized.py:620: in standalone_func
    return func(*(a + p.args), **p.kwargs, **kw)
onnxscript\backend\onnx_export_test.py:246: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
onnxscript\backend\onnx_export_test.py:117: in extract_functions
    raise AssertionError(
E   AssertionError: Unable to import 'tests.onnx_backend_test_code.test_isinf_negative' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_isinf_negative.py'))
E   ----
E   import numpy
E   from onnx import TensorProto
E   from onnx.helper import make_tensor
E   from onnxscript import script, external_tensor
E   from onnxscript.values import Opset
E   from onnxscript.onnx_types import BOOL, FLOAT
E   from onnxscript.onnx_opset import opset20
E   
E   @script()
E   def bck_test_isinf_negative(x: FLOAT[6]) -> (BOOL[6]):
E       y = opset20.IsInf(x, detect_positive=0)
E       return y

Check warning on line 0 in onnxscript.backend.onnx_export_test.TestOnnxBackEnd

See this annotation in the file changed.

@github-actions github-actions / Test Results

1 out of 6 runs failed: test_export2python_produces_correct_onnx_script_model_1217_test_thresholdedrelu_default (onnxscript.backend.onnx_export_test.TestOnnxBackEnd) 

artifacts/Test Results (py311-ort-nightly-windows-latest)/pytest.xml [took 0s]
Raw output 
AssertionError: Unable to import 'tests.onnx_backend_test_code.test_thresholdedrelu_default' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_thresholdedrelu_default.py'))
----
import numpy
from onnx import TensorProto
from onnx.helper import make_tensor
from onnxscript import script, external_tensor
from onnxscript.values import Opset
from onnxscript.onnx_types import FLOAT
from onnxscript.onnx_opset import opset10

@script()
def bck_test_thresholdedrelu_default(x: FLOAT[3,4,5]) -> (FLOAT[3,4,5]):
    y = opset10.ThresholdedRelu(x)
    return y
onnxscript\backend\onnx_export_test.py:115: in extract_functions
    mod = importlib.import_module(import_name)
C:\hostedtoolcache\windows\Python\3.11.9\x64\Lib\importlib\__init__.py:126: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
E   ModuleNotFoundError: No module named 'tests.onnx_backend_test_code.test_thresholdedrelu_default'

The above exception was the direct cause of the following exception:
.nox\test_ort_nightly\Lib\site-packages\parameterized\parameterized.py:620: in standalone_func
    return func(*(a + p.args), **p.kwargs, **kw)
onnxscript\backend\onnx_export_test.py:246: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
onnxscript\backend\onnx_export_test.py:117: in extract_functions
    raise AssertionError(
E   AssertionError: Unable to import 'tests.onnx_backend_test_code.test_thresholdedrelu_default' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_thresholdedrelu_default.py'))
E   ----
E   import numpy
E   from onnx import TensorProto
E   from onnx.helper import make_tensor
E   from onnxscript import script, external_tensor
E   from onnxscript.values import Opset
E   from onnxscript.onnx_types import FLOAT
E   from onnxscript.onnx_opset import opset10
E   
E   @script()
E   def bck_test_thresholdedrelu_default(x: FLOAT[3,4,5]) -> (FLOAT[3,4,5]):
E       y = opset10.ThresholdedRelu(x)
E       return y

Check warning on line 0 in onnxscript.backend.onnx_export_test.TestOnnxBackEnd

See this annotation in the file changed.

@github-actions github-actions / Test Results

1 out of 6 runs failed: test_export2python_produces_correct_onnx_script_model_0603_test_matmul_2d (onnxscript.backend.onnx_export_test.TestOnnxBackEnd) 

artifacts/Test Results (py311-windows-latest)/pytest.xml [took 0s]
Raw output 
AssertionError: Unable to import 'tests.onnx_backend_test_code.test_matmul_2d' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_matmul_2d.py'))
----
import numpy
from onnx import TensorProto
from onnx.helper import make_tensor
from onnxscript import script, external_tensor
from onnxscript.values import Opset
from onnxscript.onnx_types import FLOAT
from onnxscript.onnx_opset import opset13

@script()
def bck_test_matmul_2d(a: FLOAT[3,4], b: FLOAT[4,3]) -> (FLOAT[3,3]):
    c = opset13.MatMul(a, b)
    return c
onnxscript\backend\onnx_export_test.py:115: in extract_functions
    mod = importlib.import_module(import_name)
C:\hostedtoolcache\windows\Python\3.11.9\x64\Lib\importlib\__init__.py:126: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
E   ModuleNotFoundError: No module named 'tests.onnx_backend_test_code.test_matmul_2d'

The above exception was the direct cause of the following exception:
.nox\test\Lib\site-packages\parameterized\parameterized.py:620: in standalone_func
    return func(*(a + p.args), **p.kwargs, **kw)
onnxscript\backend\onnx_export_test.py:246: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
onnxscript\backend\onnx_export_test.py:117: in extract_functions
    raise AssertionError(
E   AssertionError: Unable to import 'tests.onnx_backend_test_code.test_matmul_2d' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_matmul_2d.py'))
E   ----
E   import numpy
E   from onnx import TensorProto
E   from onnx.helper import make_tensor
E   from onnxscript import script, external_tensor
E   from onnxscript.values import Opset
E   from onnxscript.onnx_types import FLOAT
E   from onnxscript.onnx_opset import opset13
E   
E   @script()
E   def bck_test_matmul_2d(a: FLOAT[3,4], b: FLOAT[4,3]) -> (FLOAT[3,3]):
E       c = opset13.MatMul(a, b)
E       return c

Check warning on line 0 in onnxscript.backend.onnx_export_test.TestOnnxBackEnd

See this annotation in the file changed.

@github-actions github-actions / Test Results

1 out of 6 runs failed: test_export2python_produces_correct_onnx_script_model_0055_test_argmin_default_axis_random_select_last_index (onnxscript.backend.onnx_export_test.TestOnnxBackEnd) 

artifacts/Test Results (py312-torch-nightly-windows-latest)/pytest.xml [took 0s]
Raw output 
AssertionError: Unable to import 'tests.onnx_backend_test_code.test_argmin_default_axis_random_select_last_index' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_argmin_default_axis_random_select_last_index.py'))
----
import numpy
from onnx import TensorProto
from onnx.helper import make_tensor
from onnxscript import script, external_tensor
from onnxscript.values import Opset
from onnxscript.onnx_types import FLOAT, INT64
from onnxscript.onnx_opset import opset13

@script()
def bck_test_argmin_default_axis_random_select_last_index(data: FLOAT[2,3,4]) -> (INT64[1,3,4]):
    result = opset13.ArgMin(data, keepdims=1, select_last_index=1)
    return result
onnxscript\backend\onnx_export_test.py:115: in extract_functions
    mod = importlib.import_module(import_name)
C:\hostedtoolcache\windows\Python\3.12.4\x64\Lib\importlib\__init__.py:90: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
E   ModuleNotFoundError: No module named 'tests.onnx_backend_test_code.test_argmin_default_axis_random_select_last_index'

The above exception was the direct cause of the following exception:
.nox\test_torch_nightly\Lib\site-packages\parameterized\parameterized.py:620: in standalone_func
    return func(*(a + p.args), **p.kwargs, **kw)
onnxscript\backend\onnx_export_test.py:246: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
onnxscript\backend\onnx_export_test.py:117: in extract_functions
    raise AssertionError(
E   AssertionError: Unable to import 'tests.onnx_backend_test_code.test_argmin_default_axis_random_select_last_index' (file: WindowsPath('D:/a/onnxscript/onnxscript/tests/onnx_backend_test_code/test_argmin_default_axis_random_select_last_index.py'))
E   ----
E   import numpy
E   from onnx import TensorProto
E   from onnx.helper import make_tensor
E   from onnxscript import script, external_tensor
E   from onnxscript.values import Opset
E   from onnxscript.onnx_types import FLOAT, INT64
E   from onnxscript.onnx_opset import opset13
E   
E   @script()
E   def bck_test_argmin_default_axis_random_select_last_index(data: FLOAT[2,3,4]) -> (INT64[1,3,4]):
E       result = opset13.ArgMin(data, keepdims=1, select_last_index=1)
E       return result
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