wehub-resource-sync
59 lines
2.2 KiB
Python
59 lines
2.2 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 reshape."""
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from absl.testing import parameterized
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from tensorflow.compiler.tests import xla_test
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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.ops import array_ops
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from tensorflow.python.platform import googletest
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class ReshapeTest(xla_test.XLATestCase, parameterized.TestCase):
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@parameterized.named_parameters(('32_bit_index', dtypes.int32),
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('64_bit_index', dtypes.int64))
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def testBasic(self, index_dtype):
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for dtype in self.numeric_types:
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with self.session():
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i = array_ops.placeholder(dtype, shape=[2, 3])
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with self.test_scope():
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shape = constant_op.constant([3, 2], dtype=index_dtype)
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o = array_ops.reshape(i, shape)
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params = {
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i: [[1, 2, 3], [4, 5, 6]],
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}
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result = o.eval(feed_dict=params)
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self.assertAllEqual([[1, 2], [3, 4], [5, 6]], result)
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def testInt64(self):
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with self.session():
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with self.test_scope():
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x = array_ops.zeros([50000, 50000], dtype=dtypes.bool)
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# Provide dimension larger than int32
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y = array_ops.reshape(x, [50000**2])
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self.assertEqual([50000**2], y.get_shape().as_list())
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# Even if first dimension is within int32, ensure we correctly go to
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# int64
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y = array_ops.reshape(x, [1, 50000**2])
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self.assertEqual([1, 50000**2], y.get_shape().as_list())
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if __name__ == '__main__':
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googletest.main()
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