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https://github.com/saymrwulf/pytorch.git
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adb3f0ec22
Summary: Following krp's suggestion, check if the shape parameter is empty. Reviewed By: dzhulgakov Differential Revision: D4686698 fbshipit-source-id: 3f9fb1e3215dd2a4a726442531201eeb18224bc6
83 lines
2.4 KiB
Python
83 lines
2.4 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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from caffe2.python import core, workspace
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from hypothesis import given
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import caffe2.python.hypothesis_test_util as hu
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import numpy as np
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class TestFillerOperator(hu.HypothesisTestCase):
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@given(**hu.gcs)
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def test_shape_error(self, gc, dc):
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op = core.CreateOperator(
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'GaussianFill',
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[],
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'out',
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shape=32, # illegal parameter
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mean=0.0,
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std=1.0,
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)
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exception = False
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try:
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workspace.RunOperatorOnce(op)
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except Exception:
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exception = True
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self.assertTrue(exception, "Did not throw exception on illegal shape")
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op = core.CreateOperator(
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'ConstantFill',
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[],
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'out',
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shape=[], # scalar
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value=2.0,
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)
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exception = False
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self.assertTrue(workspace.RunOperatorOnce(op))
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self.assertEqual(workspace.FetchBlob('out'), [2.0])
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@given(**hu.gcs)
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def test_gaussian_fill_op(self, gc, dc):
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op = core.CreateOperator(
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'GaussianFill',
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[],
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'out',
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shape=[17, 3, 3], # sample odd dimensions
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mean=0.0,
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std=1.0,
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)
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for device_option in dc:
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op.device_option.CopyFrom(device_option)
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assert workspace.RunOperatorOnce(op), "GaussianFill op did not run "
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"successfully"
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blob_out = workspace.FetchBlob('out')
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assert np.count_nonzero(blob_out) > 0, "All generated elements are "
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"zeros. Is the random generator functioning correctly?"
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@given(**hu.gcs)
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def test_msra_fill_op(self, gc, dc):
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op = core.CreateOperator(
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'MSRAFill',
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[],
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'out',
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shape=[15, 5, 3], # sample odd dimensions
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)
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for device_option in dc:
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op.device_option.CopyFrom(device_option)
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assert workspace.RunOperatorOnce(op), "MSRAFill op did not run "
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"successfully"
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blob_out = workspace.FetchBlob('out')
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assert np.count_nonzero(blob_out) > 0, "All generated elements are "
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"zeros. Is the random generator functioning correctly?"
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if __name__ == "__main__":
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import unittest
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unittest.main()
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