f618ab4955
- assertEquals -> assertEqual - assertRaisesRegexp -> assertRegexpMatches - assertRegexpMatches -> assertRegex PiperOrigin-RevId: 319118081 Change-Id: Ieb457128522920ab55d6b69a7f244ab798a7d689
155 lines
6.7 KiB
Python
155 lines
6.7 KiB
Python
# 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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"""Tests for utilities working with user input."""
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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 tensorflow.python.data.util import convert
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from tensorflow.python.framework import constant_op
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from tensorflow.python.framework import dtypes
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from tensorflow.python.framework import tensor_shape
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from tensorflow.python.framework import test_util
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from tensorflow.python.platform import test
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from tensorflow.python.util import compat
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class ConvertTest(test.TestCase):
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def testInteger(self):
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resp = convert.optional_param_to_tensor("foo", 3)
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self.assertEqual(3, self.evaluate(resp))
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def testIntegerDefault(self):
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resp = convert.optional_param_to_tensor("foo", None)
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self.assertEqual(0, self.evaluate(resp))
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def testStringDefault(self):
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resp = convert.optional_param_to_tensor("bar", None, "default",
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dtypes.string)
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self.assertEqual(compat.as_bytes("default"), self.evaluate(resp))
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def testString(self):
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resp = convert.optional_param_to_tensor("bar", "value", "default",
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dtypes.string)
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self.assertEqual(compat.as_bytes("value"), self.evaluate(resp))
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def testPartialShapeToTensorKnownDimension(self):
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self.assertAllEqual([1],
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self.evaluate(
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convert.partial_shape_to_tensor(
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tensor_shape.TensorShape([1]))))
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self.assertAllEqual([1], self.evaluate(
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convert.partial_shape_to_tensor((1,))))
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self.assertAllEqual([1], self.evaluate(
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convert.partial_shape_to_tensor([1])))
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self.assertAllEqual([1],
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self.evaluate(
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convert.partial_shape_to_tensor(
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constant_op.constant([1], dtype=dtypes.int64))))
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@test_util.run_deprecated_v1
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def testPartialShapeToTensorUnknownDimension(self):
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self.assertAllEqual([-1],
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self.evaluate(
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convert.partial_shape_to_tensor(
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tensor_shape.TensorShape([None]))))
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self.assertAllEqual([-1],
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self.evaluate(convert.partial_shape_to_tensor((None,))))
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self.assertAllEqual([-1],
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self.evaluate(convert.partial_shape_to_tensor([None])))
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self.assertAllEqual([-1],
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self.evaluate(convert.partial_shape_to_tensor([-1])))
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self.assertAllEqual([-1],
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self.evaluate(
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convert.partial_shape_to_tensor(
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constant_op.constant([-1],
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dtype=dtypes.int64))))
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with self.assertRaisesRegex(
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ValueError, r"The given shape .* must be a 1-D tensor of tf.int64 "
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r"values, but the shape was \(2, 2\)."):
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convert.partial_shape_to_tensor(constant_op.constant(
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[[1, 1], [1, 1]], dtype=dtypes.int64))
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with self.assertRaisesRegex(
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TypeError, r"The given shape .* must be a 1-D tensor of tf.int64 "
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r"values, but the element type was float32."):
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convert.partial_shape_to_tensor(constant_op.constant([1., 1.]))
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def testPartialShapeToTensorMultipleDimensions(self):
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self.assertAllEqual([3, 6],
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self.evaluate(
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convert.partial_shape_to_tensor(
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tensor_shape.TensorShape([3, 6]))))
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self.assertAllEqual([3, 6],
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self.evaluate(convert.partial_shape_to_tensor((3, 6))))
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self.assertAllEqual([3, 6],
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self.evaluate(convert.partial_shape_to_tensor([3, 6])))
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self.assertAllEqual([3, 6],
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self.evaluate(
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convert.partial_shape_to_tensor(
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constant_op.constant([3, 6],
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dtype=dtypes.int64))))
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self.assertAllEqual([3, -1],
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self.evaluate(
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convert.partial_shape_to_tensor(
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tensor_shape.TensorShape([3, None]))))
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self.assertAllEqual([3, -1],
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self.evaluate(
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convert.partial_shape_to_tensor((3, None))))
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self.assertAllEqual([3, -1],
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self.evaluate(
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convert.partial_shape_to_tensor([3, None])))
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self.assertAllEqual([3, -1],
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self.evaluate(
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convert.partial_shape_to_tensor(
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constant_op.constant([3, -1],
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dtype=dtypes.int64))))
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self.assertAllEqual([-1, -1],
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self.evaluate(
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convert.partial_shape_to_tensor(
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tensor_shape.TensorShape([None, None]))))
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self.assertAllEqual([-1, -1],
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self.evaluate(
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convert.partial_shape_to_tensor((None, None))))
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self.assertAllEqual([-1, -1],
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self.evaluate(
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convert.partial_shape_to_tensor([None, None])))
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self.assertAllEqual([-1, -1],
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self.evaluate(
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convert.partial_shape_to_tensor(
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constant_op.constant([-1, -1],
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dtype=dtypes.int64))))
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def testPartialShapeToTensorScalar(self):
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self.assertAllEqual([],
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self.evaluate(
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convert.partial_shape_to_tensor(
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tensor_shape.TensorShape([]))))
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self.assertAllEqual([], self.evaluate(convert.partial_shape_to_tensor(())))
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self.assertAllEqual([], self.evaluate(convert.partial_shape_to_tensor([])))
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self.assertAllEqual([],
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self.evaluate(
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convert.partial_shape_to_tensor(
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constant_op.constant([], dtype=dtypes.int64))))
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if __name__ == "__main__":
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test.main()
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