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