# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Test cases for operators with no arguments."""
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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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import numpy as np
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from tensorflow.compiler.tests import xla_test
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from tensorflow.python.framework import constant_op
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from tensorflow.python.ops import control_flow_ops
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from tensorflow.python.platform import googletest
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class NullaryOpsTest(xla_test.XLATestCase):
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def _testNullary(self, op, expected):
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with self.cached_session() as session:
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with self.test_scope():
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output = op()
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result = session.run(output)
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self.assertAllClose(result, expected, rtol=1e-3)
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def testNoOp(self):
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with self.cached_session():
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with self.test_scope():
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output = control_flow_ops.no_op()
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# This should not crash.
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output.run()
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def testConstants(self):
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for dtype in self.numeric_types:
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constants = [
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dtype(42),
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np.array([], dtype=dtype),
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np.array([1, 2], dtype=dtype),
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np.array([7, 7, 7, 7, 7], dtype=dtype),
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np.array([[1, 2, 3], [4, 5, 6]], dtype=dtype),
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np.array([[[1, 2], [3, 4], [5, 6]], [[10, 20], [30, 40], [50, 60]]],
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dtype=dtype),
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np.array([[[]], [[]]], dtype=dtype),
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np.array([[[[1]]]], dtype=dtype),
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]
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for c in constants:
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self._testNullary(lambda c=c: constant_op.constant(c), expected=c)
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def testComplexConstants(self):
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for dtype in self.complex_types:
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constants = [
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dtype(42 + 3j),
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np.array([], dtype=dtype),
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np.ones([50], dtype=dtype) * (3 + 4j),
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np.array([1j, 2 + 1j], dtype=dtype),
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np.array([[1, 2j, 7j], [4, 5, 6]], dtype=dtype),
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np.array([[[1, 2], [3, 4 + 6j], [5, 6]],
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[[10 + 7j, 20], [30, 40], [50, 60]]],
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dtype=dtype),
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np.array([[[]], [[]]], dtype=dtype),
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np.array([[[[1 + 3j]]]], dtype=dtype),
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]
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for c in constants:
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self._testNullary(lambda c=c: constant_op.constant(c), expected=c)
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if __name__ == "__main__":
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googletest.main()
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