Jiri Simsa 2a2c812ab2 [tf.data] Migrating remaining core API tests to use TF combinations and performing various minor test cleanup.
PiperOrigin-RevId: 283378763
Change-Id: Ice08340d289406eb691fb261c20329ada7c23c8a
2019-12-02 11:24:07 -08:00

47 lines
1.8 KiB
Python

# 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.
# ==============================================================================
"""Tests for `tf.data.Dataset.take()`."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from absl.testing import parameterized
import numpy as np
from tensorflow.python.data.kernel_tests import test_base
from tensorflow.python.data.ops import dataset_ops
from tensorflow.python.framework import combinations
from tensorflow.python.platform import test
class TakeTest(test_base.DatasetTestBase, parameterized.TestCase):
@combinations.generate(
combinations.times(test_base.default_test_combinations(),
combinations.combine(count=[-1, 0, 4, 10, 25])))
def testBasic(self, count):
components = (np.arange(10),)
dataset = dataset_ops.Dataset.from_tensor_slices(components).take(count)
self.assertEqual(
[c.shape[1:] for c in components],
[shape for shape in dataset_ops.get_legacy_output_shapes(dataset)])
num_output = min(count, 10) if count != -1 else 10
self.assertDatasetProduces(
dataset, [tuple(components[0][i:i + 1]) for i in range(num_output)])
if __name__ == "__main__":
test.main()