56 lines
1.9 KiB
Python
56 lines
1.9 KiB
Python
# Copyright 2015 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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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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import numpy as np
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from tensorflow.python.framework import ops
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from tensorflow.python.framework import test_util
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from tensorflow.python.ops import array_ops
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from tensorflow.python.platform import test
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class SparseMaskTest(test.TestCase):
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@test_util.run_deprecated_v1
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def testBasic(self):
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values = np.random.rand(4, 4).astype(np.single)
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indices = np.array([0, 2, 3, 4], dtype=np.int32)
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mask_indices = np.array([0], dtype=np.int32)
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out_values = values[1:, :]
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out_indices = np.array([2, 3, 4], dtype=np.int32)
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with self.cached_session() as sess:
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values_tensor = ops.convert_to_tensor(values)
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indices_tensor = ops.convert_to_tensor(indices)
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mask_indices_tensor = ops.convert_to_tensor(mask_indices)
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t = ops.IndexedSlices(values_tensor, indices_tensor)
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masked_t = array_ops.sparse_mask(t, mask_indices_tensor)
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tf_out_values, tf_out_indices = sess.run(
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[masked_t.values, masked_t.indices])
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self.assertAllEqual(tf_out_values, out_values)
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self.assertAllEqual(tf_out_indices, out_indices)
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if __name__ == "__main__":
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test.main()
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