Add test cases for pattern matching against optional inputs

[gramalingam]

I updated the pattern matcher to support matching against optional inputs. The change was accidentally pushed into the main branch (not a sub-branch as I thought) ... guess the branch protections were not good enough, changed it now.

Adding test-cases now to test it in this PR.

[codecov]

❌ 3 Tests Failed:

Tests completed	Failed	Passed	Skipped
13138	3	13135	2641

View the top 3 failed tests by shortest run time

onnxscript.backend.onnx_export_test.TestOnnxBackEnd test_export2python_produces_correct_onnx_script_model_1219_test_thresholdedrelu_example

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\3.9.13\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_thresholdedrelu_example'

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_thresholdedrelu_example' (e=No module named 'tests.onnx_backend_test_code.test_thresholdedrelu_example') (file: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_thresholdedrelu_example.py', absolute path: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_thresholdedrelu_example.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 opset10
E   
E   @script()
E   def bck_test_thresholdedrelu_example(x: FLOAT[5]) -> (FLOAT[5]):
E       y = opset10.ThresholdedRelu(x, alpha=2.0)
E       return y

onnxscript.backend.onnx_export_test.TestOnnxBackEnd test_export2python_produces_correct_onnx_script_model_0468_test_hardswish

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\3.9.13\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_hardswish'

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_hardswish' (e=No module named 'tests.onnx_backend_test_code.test_hardswish') (file: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_hardswish.py', absolute path: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_hardswish.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 opset14
E   
E   @script()
E   def bck_test_hardswish(x: FLOAT[3,4,5]) -> (FLOAT[3,4,5]):
E       y = opset14.HardSwish(x)
E       return y

onnxscript.backend.onnx_export_test.TestOnnxBackEnd test_export2python_produces_correct_onnx_script_model_0956_test_resize_downsample_sizes_linear_pytorch_half_pixel

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\3.9.13\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_resize_downsample_sizes_linear_pytorch_half_pixel'

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_downsample_sizes_linear_pytorch_half_pixel' (e=No module named 'tests.onnx_backend_test_code.test_resize_downsample_sizes_linear_pytorch_half_pixel') (file: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_resize_downsample_sizes_linear_pytorch_half_pixel.py', absolute path: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_resize_downsample_sizes_linear_pytorch_half_pixel.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_downsample_sizes_linear_pytorch_half_pixel(X: FLOAT[1,1,4,4], sizes: INT64[4]) -> (FLOAT[1,1,3,1]):
E       Y = opset19.Resize(X, None, None, sizes, coordinate_transformation_mode='pytorch_half_pixel', mode='linear')
E       return Y

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