[torchlib] Unregister stft, var, var_mean, std, std_mean

[justinchuby]

Following pytorch/pytorch#136153, we remove stft, var, var_mean, std, std_mean ops. They were never used even before because the ops were always decomposed.

[codecov]

❌ 12 Tests Failed:

Tests completed	Failed	Passed	Skipped
13926	12	13914	1623

View the top 3 failed tests by shortest run time

onnxscript.backend.onnx_export_test.TestOnnxBackEnd test_export2python_produces_correct_onnx_script_model_1001_test_scatter_without_axis

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\3.9.13\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_scatter_without_axis'

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_scatter_without_axis' (e=No module named 'tests.onnx_backend_test_code.test_scatter_without_axis') (file: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_scatter_without_axis.py', absolute path: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_scatter_without_axis.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 opset10
E   
E   @script()
E   def bck_test_scatter_without_axis(data: FLOAT[3,3], indices: INT64[2,3], updates: FLOAT[2,3]) -> (FLOAT[3,3]):
E       y = opset10.Scatter(data, indices, updates)
E       return y

tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU test_output_match_opinfo__erfc_cpu_float16

Stack Traces | 0.172s run time

.../function_libs/torch_lib/ops_test.py:252: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 1 / 20 (5.0%)
E   Greatest absolute difference: 0.00023031234741210938 at index (2,) (up to 0.0002 allowed)
E   Greatest relative difference: 0.892578125 at index (2,) (up to 0.01 allowed)

tests.function_libs.torch_lib.ops_test.TestOutputConsistencyEagerCPU test_output_match_opinfo__div_mode_floor_rounding_cpu_float16

Stack Traces | 0.18s run time

Unexpected success

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