61 lines
2.1 KiB
Python
61 lines
2.1 KiB
Python
# Copyright 2020 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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"""Tests for tensorflow.ops.math_ops.linspace."""
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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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# Using distutils.version.LooseVersion was resulting in an error, so importing
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# directly.
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from distutils.version import LooseVersion # pylint: disable=g-importing-member
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import itertools
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import numpy as np
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from tensorflow.python.framework import test_util
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from tensorflow.python.ops import math_ops
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from tensorflow.python.platform import googletest
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@test_util.run_all_in_graph_and_eager_modes
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class LinspaceTest(test_util.TensorFlowTestCase):
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def testLinspaceBroadcasts(self):
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if LooseVersion(np.version.version) < LooseVersion("1.16.0"):
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self.skipTest("numpy doesn't support axes before version 1.16.0")
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shapes = [(), (2,), (2, 2)]
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types = [np.float64, np.int64]
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for start_shape, stop_shape in itertools.product(shapes, repeat=2):
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for num in [0, 1, 2, 20]:
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ndims = max(len(start_shape), len(stop_shape))
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for axis in range(-ndims, ndims):
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for dtype in types:
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start = np.ones(start_shape, dtype)
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stop = 10 * np.ones(stop_shape, dtype)
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np_ans = np.linspace(start, stop, num, axis=axis)
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tf_ans = self.evaluate(
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math_ops.linspace_nd(start, stop, num, axis=axis))
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self.assertAllClose(np_ans, tf_ans)
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if __name__ == "__main__":
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googletest.main()
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