Use ir methods to replace onnx helper

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[codecov]

❌ 2 Tests Failed:

Tests completed	Failed	Passed	Skipped
9645	2	9643	1948

View the top 2 failed test(s) by shortest run time

onnxscript.backend.onnx_export_test.TestOnnxBackEnd::test_export2python_produces_correct_onnx_script_model_0236_test_clip_default_int8_inbounds_expanded

Stack Traces | 0.003s run time

onnxscript\backend\onnx_export_test.py:137: 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_clip_default_int8_inbounds_expanded'

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_clip_default_int8_inbounds_expanded' (e=No module named 'tests.onnx_backend_test_code.test_clip_default_int8_inbounds_expanded') (file: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_clip_default_int8_inbounds_expanded.py', absolute path: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_clip_default_int8_inbounds_expanded.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 INT8
E   from onnxscript.onnx_opset import opset13
E   
E   @script()
E   def bck_test_clip_default_int8_inbounds_expanded(x: INT8[3]) -> (INT8[3]):
E       y = opset13.Identity(x)
E       return y

onnxscript.backend.onnx_export_test.TestOnnxBackEnd::test_export2python_produces_correct_onnx_script_model_0986_test_resize_upsample_sizes_nearest_round_prefer_ceil_asymmetric

Stack Traces | 0.004s run time

onnxscript\backend\onnx_export_test.py:137: 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_resize_upsample_sizes_nearest_round_prefer_ceil_asymmetric'

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_resize_upsample_sizes_nearest_round_prefer_ceil_asymmetric' (e=No module named 'tests.onnx_backend_test_code.test_resize_upsample_sizes_nearest_round_prefer_ceil_asymmetric') (file: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_resize_upsample_sizes_nearest_round_prefer_ceil_asymmetric.py', absolute path: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_resize_upsample_sizes_nearest_round_prefer_ceil_asymmetric.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 opset19
E   
E   @script()
E   def bck_test_resize_upsample_sizes_nearest_round_prefer_ceil_asymmetric(X: FLOAT[1,1,4,4], sizes: INT64[4]) -> (FLOAT[1,1,8,8]):
E       Y = opset19.Resize(X, None, None, sizes, coordinate_transformation_mode='asymmetric', mode='nearest', nearest_mode='round_prefer_ceil')
E       return Y

View the full list of 1 ❄️ flaky tests

onnxscript.backend.onnx_export_test.TestOnnxBackEnd::test_export2python_produces_correct_onnx_script_model_0946_test_reshape_zero_and_negative_dim

Flake rate in main: 6.82% (Passed 41 times, Failed 3 times)

Stack Traces | 0.004s run time

onnxscript\backend\onnx_export_test.py:137: 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_reshape_zero_and_negative_dim'

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_reshape_zero_and_negative_dim' (e=No module named 'tests.onnx_backend_test_code.test_reshape_zero_and_negative_dim') (file: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_reshape_zero_and_negative_dim.py', absolute path: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_reshape_zero_and_negative_dim.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 opset21
E   
E   @script()
E   def bck_test_reshape_zero_and_negative_dim(data: FLOAT[2,3,4], shape: INT64[4]) -> (FLOAT[2,3,1,4]):
E       reshaped = opset21.Reshape(data, shape)
E       return reshaped

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