forked from 626_privacy/tensorflow_privacy
84 lines
2.8 KiB
Python
84 lines
2.8 KiB
Python
# Copyright 2019 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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"""Tests for tensor_buffer in eager mode."""
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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 tensorflow as tf
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from privacy.analysis import tensor_buffer
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tf.enable_eager_execution()
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class TensorBufferTest(tf.test.TestCase):
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"""Tests for TensorBuffer in eager mode."""
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def test_basic(self):
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size, shape = 2, [2, 3]
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my_buffer = tensor_buffer.TensorBuffer(size, shape, name='my_buffer')
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value1 = [[1, 2, 3], [4, 5, 6]]
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my_buffer.append(value1)
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self.assertAllEqual(my_buffer.values.numpy(), [value1])
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value2 = [[4, 5, 6], [7, 8, 9]]
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my_buffer.append(value2)
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self.assertAllEqual(my_buffer.values.numpy(), [value1, value2])
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def test_fail_on_scalar(self):
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with self.assertRaisesRegex(ValueError, 'Shape cannot be scalar.'):
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tensor_buffer.TensorBuffer(1, ())
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def test_fail_on_inconsistent_shape(self):
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size, shape = 1, [2, 3]
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my_buffer = tensor_buffer.TensorBuffer(size, shape, name='my_buffer')
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with self.assertRaisesRegex(
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tf.errors.InvalidArgumentError,
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'Appending value of inconsistent shape.'):
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my_buffer.append(tf.ones(shape=[3, 4], dtype=tf.int32))
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def test_resize(self):
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size, shape = 2, [2, 3]
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my_buffer = tensor_buffer.TensorBuffer(size, shape, name='my_buffer')
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# Append three buffers. Third one should succeed after resizing.
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value1 = [[1, 2, 3], [4, 5, 6]]
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my_buffer.append(value1)
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self.assertAllEqual(my_buffer.values.numpy(), [value1])
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self.assertAllEqual(my_buffer.current_size.numpy(), 1)
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self.assertAllEqual(my_buffer.capacity.numpy(), 2)
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value2 = [[4, 5, 6], [7, 8, 9]]
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my_buffer.append(value2)
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self.assertAllEqual(my_buffer.values.numpy(), [value1, value2])
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self.assertAllEqual(my_buffer.current_size.numpy(), 2)
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self.assertAllEqual(my_buffer.capacity.numpy(), 2)
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value3 = [[7, 8, 9], [10, 11, 12]]
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my_buffer.append(value3)
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self.assertAllEqual(my_buffer.values.numpy(), [value1, value2, value3])
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self.assertAllEqual(my_buffer.current_size.numpy(), 3)
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# Capacity should have doubled.
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self.assertAllEqual(my_buffer.capacity.numpy(), 4)
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if __name__ == '__main__':
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tf.test.main()
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