AssertionError: Unable to import 'tests.onnx_backend_test_code.test_pow_types_int32_int32' (e=No module named 'tests.onnx_backend_test_code.test_pow_types_int32_int32') (file: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_pow_types_int32_int32.py', absolute path: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_pow_types_int32_int32.py', current folder: D:\a\onnxscript\onnxscript
---- CONTENT --
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 INT32
from onnxscript.onnx_opset import opset15

@script()
def bck_test_pow_types_int32_int32(x: INT32[3], y: INT32[3]) -> (INT32[3]):
    z = opset15.Pow(x, y)
    return z
onnxscript\backend\onnx_export_test.py:133: 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_pow_types_int32_int32'

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:267: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
onnxscript\backend\onnx_export_test.py:135: in extract_functions
    raise AssertionError(
E   AssertionError: Unable to import 'tests.onnx_backend_test_code.test_pow_types_int32_int32' (e=No module named 'tests.onnx_backend_test_code.test_pow_types_int32_int32') (file: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_pow_types_int32_int32.py', absolute path: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_pow_types_int32_int32.py', current folder: D:\a\onnxscript\onnxscript
E   ---- CONTENT --
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 INT32
E   from onnxscript.onnx_opset import opset15
E   
E   @script()
E   def bck_test_pow_types_int32_int32(x: INT32[3], y: INT32[3]) -> (INT32[3]):
E       z = opset15.Pow(x, y)
E       return z

onnx.onnx_cpp2py_export.checker.ValidationError: Required attribute 'to' is missing.

==> Context: Bad node spec for node. Name: Cast_18 OpType: Cast
tests/function_libs/torch_lib/quantization_test.py:50: in test_simple_quantized_model
    onnx.checker.check_model(program.model_proto, full_check=True)
.nox/test_torch_nightly/lib/python3.12/site-packages/onnx/checker.py:179: in check_model
    C.check_model(
E   onnx.onnx_cpp2py_export.checker.ValidationError: Required attribute 'to' is missing.
E   
E   ==> Context: Bad node spec for node. Name: Cast_18 OpType: Cast

AssertionError: Tensor-likes are not close!

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

TypeError: Unsupported attribute type '<class 'torch._C._onnx.TensorProtoDataType'>' for attribute 'to'
TypeError: Unsupported attribute type '<class 'torch._C._onnx.TensorProtoDataType'>' for attribute 'to'
tests/function_libs/torch_lib/ops_test.py:215: in run_test_output_match
    function_output = function_executor(test_name, reference_torch_outputs)(
tests/function_libs/torch_lib/ops_test_common.py:515: in _capture_graph_and_evaluate_torch_script_evaluator
    symbolic_outputs = function(*onnxscript_args, **onnxscript_kwargs)
onnxscript/values.py:583: in __call__
    return self.func(*args, **kwargs)
onnxscript/function_libs/torch_lib/ops/core.py:1653: in aten_clamp
    min_clamp = op.CastLike(min, self)
onnxscript/onnx_opset/_impl/opset15.py:257: in CastLike
    return op(*self._prepare_inputs(schema, input, target_type))
onnxscript/values.py:301: in __call__
    return evaluator.default().eval(schema, args, kwargs)
onnxscript/function_libs/torch_lib/graph_building/_graph_building_torch.py:341: in eval
    return self._graph.add_op_call(
<@beartype(onnxscript.function_libs.torch_lib.graph_building._graph_building_torch.TorchScriptGraph.add_op_call) at 0x117858fe0>:111: in add_op_call
    ???
onnxscript/function_libs/torch_lib/graph_building/_graph_building_torch.py:878: in add_op_call
    result = self._add_torchscript_op_call(
<@beartype(onnxscript.function_libs.torch_lib.graph_building._graph_building_torch.TorchScriptGraph._add_torchscript_op_call) at 0x117858ae0>:129: in _add_torchscript_op_call
    ???
onnxscript/function_libs/torch_lib/graph_building/_graph_building_torch.py:758: in _add_torchscript_op_call
    result = _create_op_call_in_torch_graph(
<@beartype(onnxscript.function_libs.torch_lib.graph_building._graph_building_torch._create_op_call_in_torch_graph) at 0x117823e20>:113: in _create_op_call_in_torch_graph
    ???
onnxscript/function_libs/torch_lib/graph_building/_graph_building_torch.py:498: in _create_op_call_in_torch_graph
    _add_attribute_to_torchscript_node(node, key, value)
onnxscript/function_libs/torch_lib/graph_building/_graph_building_torch.py:463: in _add_attribute_to_torchscript_node
    raise TypeError(f"Unsupported attribute type '{type(value)}' for attribute '{key}'")
E   TypeError: Unsupported attribute type '<class 'torch._C._onnx.TensorProtoDataType'>' for attribute 'to'
tests/function_libs/torch_lib/ops_test.py:215: in run_test_output_match
    function_output = function_executor(test_name, reference_torch_outputs)(
tests/function_libs/torch_lib/ops_test_common.py:515: in _capture_graph_and_evaluate_torch_script_evaluator
    symbolic_outputs = function(*onnxscript_args, **onnxscript_kwargs)
onnxscript/values.py:583: in __call__
    return self.func(*args, **kwargs)
onnxscript/function_libs/torch_lib/ops/core.py:1657: in aten_clamp
    max_clamp = op.CastLike(max, self)
onnxscript/onnx_opset/_impl/opset15.py:257: in CastLike
    return op(*self._prepare_inputs(schema, input, target_type))
onnxscript/values.py:301: in __call__
    return evaluator.default().eval(schema, args, kwargs)
onnxscript/function_libs/torch_lib/graph_building/_graph_building_torch.py:341: in eval
    return self._graph.add_op_call(
<@beartype(onnxscript.function_libs.torch_lib.graph_building._graph_building_torch.TorchScriptGraph.add_op_call) at 0x117858fe0>:111: in add_op_call
    ???
onnxscript/function_libs/torch_lib/graph_building/_graph_building_torch.py:878: in add_op_call
    result = self._add_torchscript_op_call(
<@beartype(onnxscript.function_libs.torch_lib.graph_building._graph_building_torch.TorchScriptGraph._add_torchscript_op_call) at 0x117858ae0>:129: in _add_torchscript_op_call
    ???
onnxscript/function_libs/torch_lib/graph_building/_graph_building_torch.py:758: in _add_torchscript_op_call
    result = _create_op_call_in_torch_graph(
<@beartype(onnxscript.function_libs.torch_lib.graph_building._graph_building_torch._create_op_call_in_torch_graph) at 0x117823e20>:113: in _create_op_call_in_torch_graph
    ???
onnxscript/function_libs/torch_lib/graph_building/_graph_building_torch.py:498: in _create_op_call_in_torch_graph
    _add_attribute_to_torchscript_node(node, key, value)
onnxscript/function_libs/torch_lib/graph_building/_graph_building_torch.py:463: in _add_attribute_to_torchscript_node
    raise TypeError(f"Unsupported attribute type '{type(value)}' for attribute '{key}'")
E   TypeError: Unsupported attribute type '<class 'torch._C._onnx.TensorProtoDataType'>' for attribute 'to'

AssertionError: Tensor-likes are not close!

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

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

AssertionError: Tensor-likes are not equal!

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

AssertionError: Tensor-likes are not equal!

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

TypeError: Unsupported attribute type '<class 'torch._C._onnx.TensorProtoDataType'>' for attribute 'to'
TypeError: Unsupported attribute type '<class 'torch._C._onnx.TensorProtoDataType'>' for attribute 'to'
tests/function_libs/torch_lib/ops_test.py:215: in run_test_output_match
    function_output = function_executor(test_name, reference_torch_outputs)(
tests/function_libs/torch_lib/ops_test_common.py:515: in _capture_graph_and_evaluate_torch_script_evaluator
    symbolic_outputs = function(*onnxscript_args, **onnxscript_kwargs)
onnxscript/values.py:583: in __call__
    return self.func(*args, **kwargs)
onnxscript/function_libs/torch_lib/ops/core.py:1653: in aten_clamp
    min_clamp = op.CastLike(min, self)
onnxscript/onnx_opset/_impl/opset15.py:257: in CastLike
    return op(*self._prepare_inputs(schema, input, target_type))
onnxscript/values.py:301: in __call__
    return evaluator.default().eval(schema, args, kwargs)
onnxscript/function_libs/torch_lib/graph_building/_graph_building_torch.py:341: in eval
    return self._graph.add_op_call(
<@beartype(onnxscript.function_libs.torch_lib.graph_building._graph_building_torch.TorchScriptGraph.add_op_call) at 0x110630fe0>:111: in add_op_call
    ???
onnxscript/function_libs/torch_lib/graph_building/_graph_building_torch.py:878: in add_op_call
    result = self._add_torchscript_op_call(
<@beartype(onnxscript.function_libs.torch_lib.graph_building._graph_building_torch.TorchScriptGraph._add_torchscript_op_call) at 0x110630ae0>:129: in _add_torchscript_op_call
    ???
onnxscript/function_libs/torch_lib/graph_building/_graph_building_torch.py:758: in _add_torchscript_op_call
    result = _create_op_call_in_torch_graph(
<@beartype(onnxscript.function_libs.torch_lib.graph_building._graph_building_torch._create_op_call_in_torch_graph) at 0x1105fbe20>:113: in _create_op_call_in_torch_graph
    ???
onnxscript/function_libs/torch_lib/graph_building/_graph_building_torch.py:498: in _create_op_call_in_torch_graph
    _add_attribute_to_torchscript_node(node, key, value)
onnxscript/function_libs/torch_lib/graph_building/_graph_building_torch.py:463: in _add_attribute_to_torchscript_node
    raise TypeError(f"Unsupported attribute type '{type(value)}' for attribute '{key}'")
E   TypeError: Unsupported attribute type '<class 'torch._C._onnx.TensorProtoDataType'>' for attribute 'to'
tests/function_libs/torch_lib/ops_test.py:215: in run_test_output_match
    function_output = function_executor(test_name, reference_torch_outputs)(
tests/function_libs/torch_lib/ops_test_common.py:515: in _capture_graph_and_evaluate_torch_script_evaluator
    symbolic_outputs = function(*onnxscript_args, **onnxscript_kwargs)
onnxscript/values.py:583: in __call__
    return self.func(*args, **kwargs)
onnxscript/function_libs/torch_lib/ops/core.py:1657: in aten_clamp
    max_clamp = op.CastLike(max, self)
onnxscript/onnx_opset/_impl/opset15.py:257: in CastLike
    return op(*self._prepare_inputs(schema, input, target_type))
onnxscript/values.py:301: in __call__
    return evaluator.default().eval(schema, args, kwargs)
onnxscript/function_libs/torch_lib/graph_building/_graph_building_torch.py:341: in eval
    return self._graph.add_op_call(
<@beartype(onnxscript.function_libs.torch_lib.graph_building._graph_building_torch.TorchScriptGraph.add_op_call) at 0x110630fe0>:111: in add_op_call
    ???
onnxscript/function_libs/torch_lib/graph_building/_graph_building_torch.py:878: in add_op_call
    result = self._add_torchscript_op_call(
<@beartype(onnxscript.function_libs.torch_lib.graph_building._graph_building_torch.TorchScriptGraph._add_torchscript_op_call) at 0x110630ae0>:129: in _add_torchscript_op_call
    ???
onnxscript/function_libs/torch_lib/graph_building/_graph_building_torch.py:758: in _add_torchscript_op_call
    result = _create_op_call_in_torch_graph(
<@beartype(onnxscript.function_libs.torch_lib.graph_building._graph_building_torch._create_op_call_in_torch_graph) at 0x1105fbe20>:113: in _create_op_call_in_torch_graph
    ???
onnxscript/function_libs/torch_lib/graph_building/_graph_building_torch.py:498: in _create_op_call_in_torch_graph
    _add_attribute_to_torchscript_node(node, key, value)
onnxscript/function_libs/torch_lib/graph_building/_graph_building_torch.py:463: in _add_attribute_to_torchscript_node
    raise TypeError(f"Unsupported attribute type '{type(value)}' for attribute '{key}'")
E   TypeError: Unsupported attribute type '<class 'torch._C._onnx.TensorProtoDataType'>' for attribute 'to'

AssertionError: Tensor-likes are not close!

Mismatched elements: 10 / 25 (40.0%)
Greatest absolute difference: 12.913021087646484 at index (1, 1) (up to 1e-05 allowed)
Greatest relative difference: 3.1326277256011963 at index (1, 0) (up to 1.3e-06 allowed)
tests/function_libs/torch_lib/ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 10 / 25 (40.0%)
E   Greatest absolute difference: 12.913021087646484 at index (1, 1) (up to 1e-05 allowed)
E   Greatest relative difference: 3.1326277256011963 at index (1, 0) (up to 1.3e-06 allowed)

AssertionError: Tensor-likes are not close!

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

TypeError: Unsupported attribute type '<class 'torch._C._onnx.TensorProtoDataType'>' for attribute 'to'
TypeError: Unsupported attribute type '<class 'torch._C._onnx.TensorProtoDataType'>' for attribute 'to'
tests/function_libs/torch_lib/ops_test.py:215: in run_test_output_match
    function_output = function_executor(test_name, reference_torch_outputs)(
tests/function_libs/torch_lib/ops_test_common.py:515: in _capture_graph_and_evaluate_torch_script_evaluator
    symbolic_outputs = function(*onnxscript_args, **onnxscript_kwargs)
onnxscript/values.py:583: in __call__
    return self.func(*args, **kwargs)
onnxscript/function_libs/torch_lib/ops/core.py:1653: in aten_clamp
    min_clamp = op.CastLike(min, self)
onnxscript/onnx_opset/_impl/opset15.py:257: in CastLike
    return op(*self._prepare_inputs(schema, input, target_type))
onnxscript/values.py:301: in __call__
    return evaluator.default().eval(schema, args, kwargs)
onnxscript/function_libs/torch_lib/graph_building/_graph_building_torch.py:341: in eval
    return self._graph.add_op_call(
<@beartype(onnxscript.function_libs.torch_lib.graph_building._graph_building_torch.TorchScriptGraph.add_op_call) at 0x110630fe0>:111: in add_op_call
    ???
onnxscript/function_libs/torch_lib/graph_building/_graph_building_torch.py:878: in add_op_call
    result = self._add_torchscript_op_call(
<@beartype(onnxscript.function_libs.torch_lib.graph_building._graph_building_torch.TorchScriptGraph._add_torchscript_op_call) at 0x110630ae0>:129: in _add_torchscript_op_call
    ???
onnxscript/function_libs/torch_lib/graph_building/_graph_building_torch.py:758: in _add_torchscript_op_call
    result = _create_op_call_in_torch_graph(
<@beartype(onnxscript.function_libs.torch_lib.graph_building._graph_building_torch._create_op_call_in_torch_graph) at 0x1105fbe20>:113: in _create_op_call_in_torch_graph
    ???
onnxscript/function_libs/torch_lib/graph_building/_graph_building_torch.py:498: in _create_op_call_in_torch_graph
    _add_attribute_to_torchscript_node(node, key, value)
onnxscript/function_libs/torch_lib/graph_building/_graph_building_torch.py:463: in _add_attribute_to_torchscript_node
    raise TypeError(f"Unsupported attribute type '{type(value)}' for attribute '{key}'")
E   TypeError: Unsupported attribute type '<class 'torch._C._onnx.TensorProtoDataType'>' for attribute 'to'
tests/function_libs/torch_lib/ops_test.py:215: in run_test_output_match
    function_output = function_executor(test_name, reference_torch_outputs)(
tests/function_libs/torch_lib/ops_test_common.py:515: in _capture_graph_and_evaluate_torch_script_evaluator
    symbolic_outputs = function(*onnxscript_args, **onnxscript_kwargs)
onnxscript/values.py:583: in __call__
    return self.func(*args, **kwargs)
onnxscript/function_libs/torch_lib/ops/core.py:1657: in aten_clamp
    max_clamp = op.CastLike(max, self)
onnxscript/onnx_opset/_impl/opset15.py:257: in CastLike
    return op(*self._prepare_inputs(schema, input, target_type))
onnxscript/values.py:301: in __call__
    return evaluator.default().eval(schema, args, kwargs)
onnxscript/function_libs/torch_lib/graph_building/_graph_building_torch.py:341: in eval
    return self._graph.add_op_call(
<@beartype(onnxscript.function_libs.torch_lib.graph_building._graph_building_torch.TorchScriptGraph.add_op_call) at 0x110630fe0>:111: in add_op_call
    ???
onnxscript/function_libs/torch_lib/graph_building/_graph_building_torch.py:878: in add_op_call
    result = self._add_torchscript_op_call(
<@beartype(onnxscript.function_libs.torch_lib.graph_building._graph_building_torch.TorchScriptGraph._add_torchscript_op_call) at 0x110630ae0>:129: in _add_torchscript_op_call
    ???
onnxscript/function_libs/torch_lib/graph_building/_graph_building_torch.py:758: in _add_torchscript_op_call
    result = _create_op_call_in_torch_graph(
<@beartype(onnxscript.function_libs.torch_lib.graph_building._graph_building_torch._create_op_call_in_torch_graph) at 0x1105fbe20>:113: in _create_op_call_in_torch_graph
    ???
onnxscript/function_libs/torch_lib/graph_building/_graph_building_torch.py:498: in _create_op_call_in_torch_graph
    _add_attribute_to_torchscript_node(node, key, value)
onnxscript/function_libs/torch_lib/graph_building/_graph_building_torch.py:463: in _add_attribute_to_torchscript_node
    raise TypeError(f"Unsupported attribute type '{type(value)}' for attribute '{key}'")
E   TypeError: Unsupported attribute type '<class 'torch._C._onnx.TensorProtoDataType'>' for attribute 'to'

AssertionError: Tensor-likes are not close!

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

AssertionError: Tensor-likes are not close!

Mismatched elements: 10 / 25 (40.0%)
Greatest absolute difference: 12.913021087646484 at index (1, 1) (up to 1e-05 allowed)
Greatest relative difference: 3.1326277256011963 at index (1, 0) (up to 1.3e-06 allowed)
tests/function_libs/torch_lib/ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 10 / 25 (40.0%)
E   Greatest absolute difference: 12.913021087646484 at index (1, 1) (up to 1e-05 allowed)
E   Greatest relative difference: 3.1326277256011963 at index (1, 0) (up to 1.3e-06 allowed)

AssertionError: Tensor-likes are not equal!

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

AssertionError: Tensor-likes are not close!

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

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

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

AssertionError: Tensor-likes are not close!

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

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

AssertionError: Tensor-likes are not equal!

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

AssertionError: Output 0 mismatch
AssertionError: Output 0 mismatch
tests/function_libs/torch_lib/ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 2 / 25 (8.0%)
E   Greatest absolute difference: 0.03125 at index (2, 3) (up to 1e-05 allowed)
E   Greatest relative difference: 0.0017795562744140625 at index (2, 3) (up to 0.001 allowed)

The above exception was the direct cause of the following exception:
tests/function_libs/torch_lib/ops_test.py:266: in run_test_output_match
    raise AssertionError(f"Output {j} mismatch") from e
E   AssertionError: Output 0 mismatch
tests/function_libs/torch_lib/ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 2 / 25 (8.0%)
E   Greatest absolute difference: 0.0625 at index (2, 2) (up to 1e-05 allowed)
E   Greatest relative difference: 0.0014429092407226562 at index (2, 3) (up to 0.001 allowed)

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

Failed: Unexpected success
Unexpected success

AssertionError: Tensor-likes are not close!

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

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

Failed: Unexpected success
Unexpected success

AssertionError: Scalars are not close!

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

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

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

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

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

AssertionError: Output 0 mismatch
tests/function_libs/torch_lib/ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Scalars are not close!
E   
E   Expected 25.765625 but got 25.796875.
E   Absolute difference: 0.03125 (up to 1e-05 allowed)
E   Relative difference: 0.001212856276531231 (up to 0.001 allowed)

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

AssertionError: Tensor-likes are not close!

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