Remove double transpose flag in MHA fusion

[gramalingam]

The double_transpose option to control the MHA fusion is no longer used (with recent simplifications). Remove this flag. (Overlooked this in the recent PR.)

[codecov]

❌ 3 Tests Failed:

Tests completed	Failed	Passed	Skipped
14206	3	14203	2067

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

onnxscript.backend.onnx_export_test.TestOnnxBackEnd::test_export2python_produces_correct_onnx_script_model_1271_test_unsqueeze_axis_2

Stack Traces | 0.003s run time

onnxscript\backend\onnx_export_test.py:132: 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_unsqueeze_axis_2'

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:266: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
onnxscript\backend\onnx_export_test.py:134: in extract_functions
    raise AssertionError(
E   AssertionError: Unable to import 'tests.onnx_backend_test_code.test_unsqueeze_axis_2' (e=No module named 'tests.onnx_backend_test_code.test_unsqueeze_axis_2') (file: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_unsqueeze_axis_2.py', absolute path: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_unsqueeze_axis_2.py', current folder: D:\a\onnxscript\onnxscript
E   ---- CONTENT --
E   import numpy as np
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_unsqueeze_axis_2(x: FLOAT[3,4,5], axes: INT64[1]) -> (FLOAT[3,4,1,5]):
E       y = opset21.Unsqueeze(x, axes)
E       return y

onnxscript.backend.onnx_export_test.TestOnnxBackEnd::test_export2python_produces_correct_onnx_script_model_0475_test_if

Stack Traces | 0.005s run time

onnxscript\backend\onnx_export_test.py:132: 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_if'

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:266: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
onnxscript\backend\onnx_export_test.py:134: in extract_functions
    raise AssertionError(
E   AssertionError: Unable to import 'tests.onnx_backend_test_code.test_if' (e=No module named 'tests.onnx_backend_test_code.test_if') (file: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_if.py', absolute path: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_if.py', current folder: D:\a\onnxscript\onnxscript
E   ---- CONTENT --
E   import numpy as np
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, FLOAT
E   from onnxscript.onnx_opset import opset11
E   
E   @script()
E   def bck_test_if(cond: BOOL) -> (FLOAT[5]):
E       if cond:
E           then_out = opset11.Constant(value=make_tensor("value", 1, dims=[5], vals=[1.0, 2.0, 3.0, 4.0, 5.0]))
E           res = then_out
E       else:
E           else_out = opset11.Constant(value=make_tensor("value", 1, dims=[5], vals=[5.0, 4.0, 3.0, 2.0, 1.0]))
E           res = else_out
E       return res

onnxscript.backend.onnx_export_test.TestOnnxBackEnd::test_export2python_produces_correct_onnx_script_model_1309_test_softmax_large_number

Stack Traces | 0.006s run time

onnxscript\backend\onnx_export_test.py:132: 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_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:266: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\backend\onnx_export_test.py:134: 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 as np
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

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