100 lines
4.1 KiB
Python
100 lines
4.1 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 `tf.data.Dataset.shard()`."""
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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 absl.testing import parameterized
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from tensorflow.python.data.kernel_tests import test_base
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from tensorflow.python.data.ops import dataset_ops
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from tensorflow.python.framework import combinations
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from tensorflow.python.framework import errors
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from tensorflow.python.platform import test
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class ShardTest(test_base.DatasetTestBase, parameterized.TestCase):
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@combinations.generate(test_base.default_test_combinations())
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def testSimpleCase(self):
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dataset = dataset_ops.Dataset.range(10).shard(5, 2)
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self.assertDatasetProduces(dataset, expected_output=[2, 7])
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@combinations.generate(test_base.default_test_combinations())
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def testNestedData(self):
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dataset_a = dataset_ops.Dataset.range(10)
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dataset_b = dataset_ops.Dataset.range(10, 0, -1)
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dataset = dataset_ops.Dataset.zip((dataset_a, dataset_b)).shard(5, 2)
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self.assertDatasetProduces(dataset, expected_output=[(2, 8), (7, 3)])
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@combinations.generate(test_base.default_test_combinations())
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def testOffsetZero(self):
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dataset = dataset_ops.Dataset.range(10).shard(5, 0)
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self.assertDatasetProduces(dataset, expected_output=[0, 5])
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@combinations.generate(test_base.default_test_combinations())
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def testOffsetGreaterNumShards(self):
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with self.assertRaises(errors.InvalidArgumentError):
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dataset = dataset_ops.Dataset.range(10).shard(5, 7)
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self.evaluate(self.getNext(dataset)())
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@combinations.generate(test_base.default_test_combinations())
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def testNegativeOffset(self):
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with self.assertRaises(errors.InvalidArgumentError):
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dataset = dataset_ops.Dataset.range(10).shard(5, -3)
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self.evaluate(self.getNext(dataset)())
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@combinations.generate(test_base.default_test_combinations())
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def testNegativeNumShards(self):
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with self.assertRaises(errors.InvalidArgumentError):
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dataset = dataset_ops.Dataset.range(10).shard(-3, 1)
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self.evaluate(self.getNext(dataset)())
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@combinations.generate(test_base.default_test_combinations())
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def testZeroNumShards(self):
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with self.assertRaises(errors.InvalidArgumentError):
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dataset = dataset_ops.Dataset.range(10).shard(0, 1)
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self.evaluate(self.getNext(dataset)())
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@combinations.generate(test_base.default_test_combinations())
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def testIteratorEndsBeforeFirstElem(self):
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dataset = dataset_ops.Dataset.range(1).shard(5, 2)
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self.assertDatasetProduces(dataset, expected_output=[])
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@combinations.generate(test_base.default_test_combinations())
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def testLargerWorkerPool(self):
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dataset = dataset_ops.Dataset.range(10).shard(7, 5)
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self.assertDatasetProduces(dataset, expected_output=[5])
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@combinations.generate(test_base.default_test_combinations())
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def testIndexEqualsNumShards(self):
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dataset = dataset_ops.Dataset.range(10).shard(5, 4)
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self.assertDatasetProduces(dataset, expected_output=[4, 9])
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@combinations.generate(test_base.default_test_combinations())
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def testIndexEqualsNumShards2(self):
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dataset = dataset_ops.Dataset.range(10).shard(4, 3)
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self.assertDatasetProduces(dataset, expected_output=[3, 7])
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@combinations.generate(test_base.default_test_combinations())
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def testNumShardsLargerThanDataset(self):
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dataset = dataset_ops.Dataset.range(10).shard(20, 5)
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self.assertDatasetProduces(dataset, expected_output=[5])
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if __name__ == "__main__":
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test.main()
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