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https://github.com/zebrajr/pytorch.git
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41adebe974
Reviewed By: akyrola Differential Revision: D5729024 fbshipit-source-id: f2850d5cf53537b22298b39a07f64dfcc2753c75
36 lines
950 B
Python
36 lines
950 B
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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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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