mirror of
https://github.com/zebrajr/pytorch.git
synced 2025-12-07 12:21:27 +01:00
141d81d095
* Move ONNX integration tests from onnx-fb-universe to PyTorch repo
* Switch to use torchvision
* Delete single rnn operator tests, they have been covered in e2e tests in test_caffe2.py
* Mirror the fix in onnx-fb-universe to bypass cuda check
667326d84b
44 lines
1.1 KiB
Python
44 lines
1.1 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 common import *
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torch.set_default_tensor_type('torch.FloatTensor')
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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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skipIfCI = _skipper(lambda: os.getenv('CI'),
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'Skip In CI')
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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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