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