TypeError: object of type 'NoneType' has no len()
onnxscript/rewriter/onnxruntime/instance_to_group_normalization_test.py:239: in test_instance_norm_with_non_broadcasted_bias_full_should_remain
    count = instance_to_group_normalization.rules.apply_to_model(model)
onnxscript/rewriter/pattern.py:1378: in apply_to_model
    count = self._apply_to_graph_or_function(model, model.graph, verbose=verbose)
onnxscript/rewriter/pattern.py:1356: in _apply_to_graph_or_function
    delta = rule.try_rewrite(model, graph_or_function, node, verbose=verbose)
onnxscript/rewriter/pattern.py:1230: in try_rewrite
    if not self._condition_function(context, **match.bindings):
onnxscript/rewriter/onnxruntime/instance_to_group_normalization.py:64: in _simulated_instance_norm
    weight_full_rank = len(weight_full.shape)
E   TypeError: object of type 'NoneType' has no len()

TypeError: object of type 'NoneType' has no len()
onnxscript/rewriter/onnxruntime/instance_to_group_normalization_test.py:315: in test_instance_norm_with_weight_full_having_multiple_not_one_dim_should_remain
    count = instance_to_group_normalization.rules.apply_to_model(model)
onnxscript/rewriter/pattern.py:1378: in apply_to_model
    count = self._apply_to_graph_or_function(model, model.graph, verbose=verbose)
onnxscript/rewriter/pattern.py:1356: in _apply_to_graph_or_function
    delta = rule.try_rewrite(model, graph_or_function, node, verbose=verbose)
onnxscript/rewriter/pattern.py:1230: in try_rewrite
    if not self._condition_function(context, **match.bindings):
onnxscript/rewriter/onnxruntime/instance_to_group_normalization.py:64: in _simulated_instance_norm
    weight_full_rank = len(weight_full.shape)
E   TypeError: object of type 'NoneType' has no len()

TypeError: object of type 'NoneType' has no len()
onnxscript/rewriter/onnxruntime/instance_to_group_normalization_test.py:354: in test_instance_norm_with_bias_full_having_multiple_not_one_dim_should_remain
    count = instance_to_group_normalization.rules.apply_to_model(model)
onnxscript/rewriter/pattern.py:1378: in apply_to_model
    count = self._apply_to_graph_or_function(model, model.graph, verbose=verbose)
onnxscript/rewriter/pattern.py:1356: in _apply_to_graph_or_function
    delta = rule.try_rewrite(model, graph_or_function, node, verbose=verbose)
onnxscript/rewriter/pattern.py:1230: in try_rewrite
    if not self._condition_function(context, **match.bindings):
onnxscript/rewriter/onnxruntime/instance_to_group_normalization.py:64: in _simulated_instance_norm
    weight_full_rank = len(weight_full.shape)
E   TypeError: object of type 'NoneType' has no len()

TypeError: object of type 'NoneType' has no len()
onnxscript/rewriter/onnxruntime/instance_to_group_normalization_test.py:432: in test_instance_norm_with_non_equal_of_image_shape_and_original_input_shape_should_remain
    count = instance_to_group_normalization.rules.apply_to_model(model)
onnxscript/rewriter/pattern.py:1378: in apply_to_model
    count = self._apply_to_graph_or_function(model, model.graph, verbose=verbose)
onnxscript/rewriter/pattern.py:1356: in _apply_to_graph_or_function
    delta = rule.try_rewrite(model, graph_or_function, node, verbose=verbose)
onnxscript/rewriter/pattern.py:1230: in try_rewrite
    if not self._condition_function(context, **match.bindings):
onnxscript/rewriter/onnxruntime/instance_to_group_normalization.py:64: in _simulated_instance_norm
    weight_full_rank = len(weight_full.shape)
E   TypeError: object of type 'NoneType' has no len()

TypeError: object of type 'NoneType' has no len()
onnxscript/rewriter/onnxruntime/instance_to_group_normalization_test.py:202: in test_instance_norm_with_non_broadcasted_weight_full_should_remain
    count = instance_to_group_normalization.rules.apply_to_model(model)
onnxscript/rewriter/pattern.py:1378: in apply_to_model
    count = self._apply_to_graph_or_function(model, model.graph, verbose=verbose)
onnxscript/rewriter/pattern.py:1356: in _apply_to_graph_or_function
    delta = rule.try_rewrite(model, graph_or_function, node, verbose=verbose)
onnxscript/rewriter/pattern.py:1230: in try_rewrite
    if not self._condition_function(context, **match.bindings):
onnxscript/rewriter/onnxruntime/instance_to_group_normalization.py:64: in _simulated_instance_norm
    weight_full_rank = len(weight_full.shape)
E   TypeError: object of type 'NoneType' has no len()

TypeError: object of type 'NoneType' has no len()
onnxscript/rewriter/onnxruntime/instance_to_group_normalization_test.py:89: in test_simulated_instance_norm_is_replaced_by_group_norm
    count = instance_to_group_normalization.rules.apply_to_model(model)
onnxscript/rewriter/pattern.py:1378: in apply_to_model
    count = self._apply_to_graph_or_function(model, model.graph, verbose=verbose)
onnxscript/rewriter/pattern.py:1356: in _apply_to_graph_or_function
    delta = rule.try_rewrite(model, graph_or_function, node, verbose=verbose)
onnxscript/rewriter/pattern.py:1230: in try_rewrite
    if not self._condition_function(context, **match.bindings):
onnxscript/rewriter/onnxruntime/instance_to_group_normalization.py:64: in _simulated_instance_norm
    weight_full_rank = len(weight_full.shape)
E   TypeError: object of type 'NoneType' has no len()

TypeError: object of type 'NoneType' has no len()
onnxscript/rewriter/onnxruntime/instance_to_group_normalization_test.py:393: in test_instance_norm_with_not_0_g_negative_1_shape_of_adjusted_input_shape_should_remain
    count = instance_to_group_normalization.rules.apply_to_model(model)
onnxscript/rewriter/pattern.py:1378: in apply_to_model
    count = self._apply_to_graph_or_function(model, model.graph, verbose=verbose)
onnxscript/rewriter/pattern.py:1356: in _apply_to_graph_or_function
    delta = rule.try_rewrite(model, graph_or_function, node, verbose=verbose)
onnxscript/rewriter/pattern.py:1230: in try_rewrite
    if not self._condition_function(context, **match.bindings):
onnxscript/rewriter/onnxruntime/instance_to_group_normalization.py:64: in _simulated_instance_norm
    weight_full_rank = len(weight_full.shape)
E   TypeError: object of type 'NoneType' has no len()

TypeError: object of type 'NoneType' has no len()
onnxscript/rewriter/onnxruntime/instance_to_group_normalization_test.py:276: in test_instance_norm_with_rank_not_4_should_remain
    count = instance_to_group_normalization.rules.apply_to_model(model)
onnxscript/rewriter/pattern.py:1378: in apply_to_model
    count = self._apply_to_graph_or_function(model, model.graph, verbose=verbose)
onnxscript/rewriter/pattern.py:1356: in _apply_to_graph_or_function
    delta = rule.try_rewrite(model, graph_or_function, node, verbose=verbose)
onnxscript/rewriter/pattern.py:1230: in try_rewrite
    if not self._condition_function(context, **match.bindings):
onnxscript/rewriter/onnxruntime/instance_to_group_normalization.py:64: in _simulated_instance_norm
    weight_full_rank = len(weight_full.shape)
E   TypeError: object of type 'NoneType' has no len()

TypeError: object of type 'NoneType' has no len()
onnxscript/rewriter/onnxruntime/group_normalization_merge_silu_test.py:123: in test_simulated_instance_norm_is_replaced_by_group_norm_silu
    count = instance_to_group_normalization.rules.apply_to_model(model)
onnxscript/rewriter/pattern.py:1378: in apply_to_model
    count = self._apply_to_graph_or_function(model, model.graph, verbose=verbose)
onnxscript/rewriter/pattern.py:1356: in _apply_to_graph_or_function
    delta = rule.try_rewrite(model, graph_or_function, node, verbose=verbose)
onnxscript/rewriter/pattern.py:1230: in try_rewrite
    if not self._condition_function(context, **match.bindings):
onnxscript/rewriter/onnxruntime/instance_to_group_normalization.py:64: in _simulated_instance_norm
    weight_full_rank = len(weight_full.shape)
E   TypeError: object of type 'NoneType' has no len()

AssertionError: Unable to import 'tests.onnx_backend_test_code.test_nllloss_NCd1d2d3d4d5_none_no_weight' (e=No module named 'tests.onnx_backend_test_code.test_nllloss_NCd1d2d3d4d5_none_no_weight') (file: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_nllloss_NCd1d2d3d4d5_none_no_weight.py', absolute path: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_nllloss_NCd1d2d3d4d5_none_no_weight.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 FLOAT, INT64
from onnxscript.onnx_opset import opset13

@script()
def bck_test_nllloss_NCd1d2d3d4d5_none_no_weight(input: FLOAT[3,5,6,6,5,3,4], target: INT64[3,6,6,5,3,4]) -> (FLOAT[3,6,6,5,3,4]):
    loss = opset13.NegativeLogLikelihoodLoss(input, target, reduction='none')
    return loss
onnxscript\backend\onnx_export_test.py:137: in extract_functions
    mod = importlib.import_module(import_name)
C:\hostedtoolcache\windows\Python\3.9.13\x64\lib\importlib\__init__.py:127: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
E   ModuleNotFoundError: No module named 'tests.onnx_backend_test_code.test_nllloss_NCd1d2d3d4d5_none_no_weight'

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:271: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
onnxscript\backend\onnx_export_test.py:139: in extract_functions
    raise AssertionError(
E   AssertionError: Unable to import 'tests.onnx_backend_test_code.test_nllloss_NCd1d2d3d4d5_none_no_weight' (e=No module named 'tests.onnx_backend_test_code.test_nllloss_NCd1d2d3d4d5_none_no_weight') (file: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_nllloss_NCd1d2d3d4d5_none_no_weight.py', absolute path: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_nllloss_NCd1d2d3d4d5_none_no_weight.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 FLOAT, INT64
E   from onnxscript.onnx_opset import opset13
E   
E   @script()
E   def bck_test_nllloss_NCd1d2d3d4d5_none_no_weight(input: FLOAT[3,5,6,6,5,3,4], target: INT64[3,6,6,5,3,4]) -> (FLOAT[3,6,6,5,3,4]):
E       loss = opset13.NegativeLogLikelihoodLoss(input, target, reduction='none')
E       return loss

AssertionError: Unable to import 'tests.onnx_backend_test_code.test_logsoftmax_axis_1' (e=No module named 'tests.onnx_backend_test_code.test_logsoftmax_axis_1') (file: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_logsoftmax_axis_1.py', absolute path: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_logsoftmax_axis_1.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 FLOAT
from onnxscript.onnx_opset import opset13

@script()
def bck_test_logsoftmax_axis_1(x: FLOAT[3,4,5]) -> (FLOAT[3,4,5]):
    y = opset13.LogSoftmax(x, axis=1)
    return y
onnxscript\backend\onnx_export_test.py:137: in extract_functions
    mod = importlib.import_module(import_name)
C:\hostedtoolcache\windows\Python\3.9.13\x64\lib\importlib\__init__.py:127: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
E   ModuleNotFoundError: No module named 'tests.onnx_backend_test_code.test_logsoftmax_axis_1'

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:271: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
onnxscript\backend\onnx_export_test.py:139: in extract_functions
    raise AssertionError(
E   AssertionError: Unable to import 'tests.onnx_backend_test_code.test_logsoftmax_axis_1' (e=No module named 'tests.onnx_backend_test_code.test_logsoftmax_axis_1') (file: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_logsoftmax_axis_1.py', absolute path: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_logsoftmax_axis_1.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 FLOAT
E   from onnxscript.onnx_opset import opset13
E   
E   @script()
E   def bck_test_logsoftmax_axis_1(x: FLOAT[3,4,5]) -> (FLOAT[3,4,5]):
E       y = opset13.LogSoftmax(x, axis=1)
E       return y

AssertionError: Unable to import 'tests.onnx_backend_test_code.test_regex_full_match_basic' (e=No module named 'tests.onnx_backend_test_code.test_regex_full_match_basic') (file: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_regex_full_match_basic.py', absolute path: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_regex_full_match_basic.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 BOOL, STRING
from onnxscript.onnx_opset import opset20

@script()
def bck_test_regex_full_match_basic(X: STRING[3]) -> (BOOL[3]):
    Y = opset20.RegexFullMatch(X, pattern='www\\.[\\w.-]+\\.\\bcom\\b')
    return Y
onnxscript\backend\onnx_export_test.py:137: in extract_functions
    mod = importlib.import_module(import_name)
C:\hostedtoolcache\windows\Python\3.9.13\x64\lib\importlib\__init__.py:127: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
E   ModuleNotFoundError: No module named 'tests.onnx_backend_test_code.test_regex_full_match_basic'

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:271: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
onnxscript\backend\onnx_export_test.py:139: in extract_functions
    raise AssertionError(
E   AssertionError: Unable to import 'tests.onnx_backend_test_code.test_regex_full_match_basic' (e=No module named 'tests.onnx_backend_test_code.test_regex_full_match_basic') (file: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_regex_full_match_basic.py', absolute path: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_regex_full_match_basic.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 BOOL, STRING
E   from onnxscript.onnx_opset import opset20
E   
E   @script()
E   def bck_test_regex_full_match_basic(X: STRING[3]) -> (BOOL[3]):
E       Y = opset20.RegexFullMatch(X, pattern='www\\.[\\w.-]+\\.\\bcom\\b')
E       return Y

AssertionError: Unable to import 'tests.onnx_backend_test_code.test_max_uint32' (e=No module named 'tests.onnx_backend_test_code.test_max_uint32') (file: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_max_uint32.py', absolute path: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_max_uint32.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 UINT32
from onnxscript.onnx_opset import opset13

@script()
def bck_test_max_uint32(data_0: UINT32[3], data_1: UINT32[3]) -> (UINT32[3]):
    result = opset13.Max(data_0, data_1)
    return result
onnxscript\backend\onnx_export_test.py:137: in extract_functions
    mod = importlib.import_module(import_name)
C:\hostedtoolcache\windows\Python\3.9.13\x64\lib\importlib\__init__.py:127: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
E   ModuleNotFoundError: No module named 'tests.onnx_backend_test_code.test_max_uint32'

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:271: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
onnxscript\backend\onnx_export_test.py:139: in extract_functions
    raise AssertionError(
E   AssertionError: Unable to import 'tests.onnx_backend_test_code.test_max_uint32' (e=No module named 'tests.onnx_backend_test_code.test_max_uint32') (file: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_max_uint32.py', absolute path: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_max_uint32.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 UINT32
E   from onnxscript.onnx_opset import opset13
E   
E   @script()
E   def bck_test_max_uint32(data_0: UINT32[3], data_1: UINT32[3]) -> (UINT32[3]):
E       result = opset13.Max(data_0, data_1)
E       return result