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https://github.com/pytorch/pytorch.git
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04e55d69f9
Summary: This PR initiates the process of updating the torchsciprt backend interface used by ONNX exporter. - Replace jit lower graph pass by freeze module pass - Enable ScriptModule tests for ONNX operator tests (ORT backend) and model tests by default. Pull Request resolved: https://github.com/pytorch/pytorch/pull/41413 Reviewed By: VitalyFedyunin Differential Revision: D22845258 Pulled By: bzinodev fbshipit-source-id: d57fd4086f27bd0c3bf5f70af7fd0daa39a2814a
101 lines
3.1 KiB
Python
101 lines
3.1 KiB
Python
from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from __future__ import unicode_literals
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import functools
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import os
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import unittest
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import sys
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import torch
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import torch.autograd.function as function
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pytorch_test_dir = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
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sys.path.insert(-1, pytorch_test_dir)
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from torch.testing._internal.common_utils import * # noqa: F401
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torch.set_default_tensor_type('torch.FloatTensor')
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BATCH_SIZE = 2
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RNN_BATCH_SIZE = 7
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RNN_SEQUENCE_LENGTH = 11
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RNN_INPUT_SIZE = 5
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RNN_HIDDEN_SIZE = 3
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def _skipper(condition, reason):
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def decorator(f):
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@functools.wraps(f)
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def wrapper(*args, **kwargs):
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if condition():
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raise unittest.SkipTest(reason)
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return f(*args, **kwargs)
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return wrapper
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return decorator
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skipIfNoCuda = _skipper(lambda: not torch.cuda.is_available(),
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'CUDA is not available')
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skipIfTravis = _skipper(lambda: os.getenv('TRAVIS'),
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'Skip In Travis')
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# skips tests for all versions below min_opset_version.
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# if exporting the op is only supported after a specific version,
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# add this wrapper to prevent running the test for opset_versions
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# smaller than the currently tested opset_version
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def skipIfUnsupportedMinOpsetVersion(min_opset_version):
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def skip_dec(func):
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def wrapper(self):
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if self.opset_version < min_opset_version:
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raise unittest.SkipTest("Skip verify test for unsupported opset_version")
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return func(self)
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return wrapper
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return skip_dec
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# skips tests for all versions above min_opset_version.
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def skipIfUnsupportedMaxOpsetVersion(min_opset_version):
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def skip_dec(func):
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def wrapper(self):
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if self.opset_version > min_opset_version:
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raise unittest.SkipTest("Skip verify test for unsupported opset_version")
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return func(self)
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return wrapper
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return skip_dec
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# Enables tests for scripting, instead of only tracing the model.
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def enableScriptTest():
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def script_dec(func):
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def wrapper(self):
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self.is_script_test_enabled = True
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return func(self)
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return wrapper
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return script_dec
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# Disable tests for scripting.
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def disableScriptTest():
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def script_dec(func):
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def wrapper(self):
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self.is_script_test_enabled = False
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return func(self)
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return wrapper
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return script_dec
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# skips tests for opset_versions listed in unsupported_opset_versions.
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# if the caffe2 test cannot be run for a specific version, add this wrapper
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# (for example, an op was modified but the change is not supported in caffe2)
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def skipIfUnsupportedOpsetVersion(unsupported_opset_versions):
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def skip_dec(func):
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def wrapper(self):
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if self.opset_version in unsupported_opset_versions:
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raise unittest.SkipTest("Skip verify test for unsupported opset_version")
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return func(self)
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return wrapper
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return skip_dec
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def flatten(x):
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return tuple(function._iter_filter(lambda o: isinstance(o, torch.Tensor))(x))
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