Generate opset23 with opgen

[justinchuby]

Add opset23 support.

[codecov]

❌ 4 Tests Failed:

Tests completed	Failed	Passed	Skipped
15364	4	15360	2338

View the top 3 failed test(s) by shortest run time

onnxscript.backend.onnx_export_test.TestOnnxBackEnd::test_export2python_produces_correct_onnx_script_model_1303_test_softmax_large_number

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\3.11.9\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_softmax_large_number'

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: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_softmax_large_number' (e=No module named 'tests.onnx_backend_test_code.test_softmax_large_number') (file: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_softmax_large_number.py', absolute path: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_softmax_large_number.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_softmax_large_number(x: FLOAT[2,4]) -> (FLOAT[2,4]):
E       y = opset13.Softmax(x)
E       return y

onnxscript.backend.onnx_export_test.TestOnnxBackEnd::test_export2python_produces_correct_onnx_script_model_0124_test_bitwise_or_i16_4d

Stack Traces | 0.005s run time

onnxscript\backend\onnx_export_test.py:137: in extract_functions
    mod = importlib.import_module(import_name)
C:\hostedtoolcache\windows\Python\3.12.10\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_bitwise_or_i16_4d'

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_bitwise_or_i16_4d' (e=No module named 'tests.onnx_backend_test_code.test_bitwise_or_i16_4d') (file: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_bitwise_or_i16_4d.py', absolute path: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_bitwise_or_i16_4d.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 opset18
E   
E   @script()
E   def bck_test_bitwise_or_i16_4d(x: INT8[3,4,5,6], y: INT8[3,4,5,6]) -> (INT8[3,4,5,6]):
E       bitwiseor = opset18.BitwiseOr(x, y)
E       return bitwiseor

onnxscript.backend.onnx_export_test.TestOnnxBackEnd::test_export2python_produces_correct_onnx_script_model_1124_test_slice_default_axes

Stack Traces | 0.005s run time

onnxscript\backend\onnx_export_test.py:137: in extract_functions
    mod = importlib.import_module(import_name)
C:\hostedtoolcache\windows\Python\3.12.10\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_slice_default_axes'

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_slice_default_axes' (e=No module named 'tests.onnx_backend_test_code.test_slice_default_axes') (file: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_slice_default_axes.py', absolute path: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_slice_default_axes.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_slice_default_axes(x: FLOAT[20,10,5], starts: INT64[3], ends: INT64[3]) -> (FLOAT[20,10,1]):
E       y = opset13.Slice(x, starts, ends)
E       return y

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To fix the issue, the Pad method in the Opset23 class must be updated to match the signature of the Pad method in the Opset22 class. This involves ensuring that the parameters, their types, and default values are consistent with the overridden method. If the Opset22 class's Pad method has additional parameters or different parameter types, these must be incorporated into the Opset23 method.

Steps:

1. Identify the exact signature of the Pad method in the Opset22 class.
2. Update the Pad method in the Opset23 class to match the signature of the Opset22 method.
3. Ensure that the implementation of the Pad method in Opset23 still adheres to the ONNX operator specification for version 23.

---

To fix the issue, the Reshape method in the Opset23 class must be updated to match the signature of the Reshape method in the Opset22 class. This involves ensuring that the Reshape method in Opset23 accepts all the parameters that the Reshape method in Opset22 does. If the parent class's method has additional parameters, they should be added to the overriding method in Opset23. The functionality of the Reshape method in Opset23 should remain consistent with its intended behavior.

---

To fix the issue, the Unsqueeze method in the Opset23 class must be updated to match the signature of the Unsqueeze method in the Opset22 class. This involves:

1. Identifying the exact signature of the Unsqueeze method in Opset22.
2. Modifying the Unsqueeze method in Opset23 to ensure it accepts the same parameters and has the same return type as the method in Opset22.

The fix should preserve the functionality of the Unsqueeze method in Opset23 while ensuring compatibility with the parent class.

---