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e43ffb0148
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/12101 clean up some duplicate test code Reviewed By: ZolotukhinM Differential Revision: D10051914 fbshipit-source-id: 698ff144a85e8c70572116c5ddb415cd2396b4e3
62 lines
1.5 KiB
Python
62 lines
1.5 KiB
Python
## @package test_util
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# Module caffe2.python.test_util
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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 numpy as np
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from caffe2.python import core, workspace
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import unittest
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def rand_array(*dims):
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# np.random.rand() returns float instead of 0-dim array, that's why need to
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# do some tricks
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return np.array(np.random.rand(*dims) - 0.5).astype(np.float32)
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def randBlob(name, type, *dims, **kwargs):
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offset = kwargs['offset'] if 'offset' in kwargs else 0.0
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workspace.FeedBlob(name, np.random.rand(*dims).astype(type) + offset)
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def randBlobFloat32(name, *dims, **kwargs):
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randBlob(name, np.float32, *dims, **kwargs)
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def randBlobsFloat32(names, *dims, **kwargs):
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for name in names:
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randBlobFloat32(name, *dims, **kwargs)
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def numOps(net):
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return len(net.Proto().op)
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def str_compare(a, b, encoding="utf8"):
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if isinstance(a, bytes):
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a = a.decode(encoding)
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if isinstance(b, bytes):
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b = b.decode(encoding)
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return a == b
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class TestCase(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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workspace.GlobalInit([
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'caffe2',
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'--caffe2_log_level=0',
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])
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# clear the default engines settings to separate out its
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# affect from the ops tests
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core.SetEnginePref({}, {})
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def setUp(self):
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self.ws = workspace.C.Workspace()
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workspace.ResetWorkspace()
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def tearDown(self):
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workspace.ResetWorkspace()
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