Enable optimization via environment variable

[gramalingam]

Enable optimization via environment variable

[codecov]

❌ 1 Tests Failed:

Tests completed	Failed	Passed	Skipped
14676	1	14675	1973

View the top 1 failed tests by shortest run time

onnxscript.backend.onnx_export_test.TestOnnxBackEnd test_export2python_produces_correct_onnx_script_model_0612_test_maxpool_2d_precomputed_pads

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\3.10.11\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_maxpool_2d_precomputed_pads'

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_maxpool_2d_precomputed_pads' (e=No module named 'tests.onnx_backend_test_code.test_maxpool_2d_precomputed_pads') (file: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_maxpool_2d_precomputed_pads.py', absolute path: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_maxpool_2d_precomputed_pads.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 opset12
E   
E   @script()
E   def bck_test_maxpool_2d_precomputed_pads(x: FLOAT[1,1,5,5]) -> (FLOAT[1,1,5,5]):
E       y = opset12.MaxPool(x, kernel_shape=[5, 5], pads=[2, 2, 2, 2])
E       return y

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[justinchuby]

typo: "1'" -> "1"