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# 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 slicing."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.compiler.tests import xla_test
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import tensor_shape
from tensorflow.python.ops import array_ops
from tensorflow.python.platform import googletest
class SliceTest(xla_test.XLATestCase):
def test1D(self):
for dtype in self.numeric_types:
with self.cached_session():
i = array_ops.placeholder(dtype, shape=[10])
with self.test_scope():
o = array_ops.slice(i, [2], [4])
params = {
i: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
}
result = o.eval(feed_dict=params)
self.assertAllEqual([2, 3, 4, 5], result)
def testZeroSlice(self):
for dtype in self.numeric_types:
with self.cached_session():
i = array_ops.placeholder(dtype, shape=[2])
with self.test_scope():
o = array_ops.slice(i, [0], [0])
params = {
i: [0, 1],
}
result = o.eval(feed_dict=params)
self.assertAllEqual([], result)
def test3D(self):
for dtype in self.numeric_types:
with self.cached_session():
i = array_ops.placeholder(dtype, shape=[3, 3, 10])
with self.test_scope():
o = array_ops.slice(i, [1, 2, 2], [1, 1, 4])
params = {
i: [[[0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
[9, 8, 7, 6, 5, 4, 3, 2, 1, 0],
[5, 3, 1, 7, 9, 2, 4, 6, 8, 0]],
[[5, 5, 5, 5, 5, 5, 5, 5, 5, 5],
[1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
[8, 7, 6, 5, 4, 3, 2, 1, 8, 7]],
[[7, 5, 7, 5, 7, 5, 7, 5, 7, 5],
[1, 2, 1, 2, 1, 2, 1, 2, 1, 2],
[9, 8, 7, 9, 8, 7, 9, 8, 7, 9]]]
}
result = o.eval(feed_dict=params)
self.assertAllEqual([[[6, 5, 4, 3]]], result)
def test3DWithDynamicBegin(self):
"""Tests a slice where the start offset is not known at compile time."""
for dtype in self.numeric_types:
with self.cached_session():
i = array_ops.placeholder(dtype, shape=[3, 3, 10])
begin = array_ops.placeholder(dtypes.int32, shape=[3])
with self.test_scope():
o = array_ops.slice(i, begin, [1, 1, 4])
params = {
i: [[[0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
[9, 8, 7, 6, 5, 4, 3, 2, 1, 0],
[5, 3, 1, 7, 9, 2, 4, 6, 8, 0]],
[[5, 5, 5, 5, 5, 5, 5, 5, 5, 5],
[1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
[8, 7, 6, 5, 4, 3, 2, 1, 8, 7]],
[[7, 5, 7, 5, 7, 5, 7, 5, 7, 5],
[1, 2, 1, 2, 1, 2, 1, 2, 1, 2],
[9, 8, 7, 9, 8, 7, 9, 8, 7, 9]]],
begin: [1, 2, 2]
}
result = o.eval(feed_dict=params)
self.assertAllEqual([[[6, 5, 4, 3]]], result)
def test3DWithDynamicBeginAndNegativeSize(self):
"""Tests a slice where `begin` is fed dynamically and `size` contains -1."""
for dtype in self.numeric_types:
with self.cached_session():
i = array_ops.placeholder(dtype, shape=[3, 3, 10])
begin = array_ops.placeholder(dtypes.int32, shape=[3])
with self.test_scope():
o = array_ops.slice(i, begin, [1, -1, 4])
params = {
i: [[[0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
[9, 8, 7, 6, 5, 4, 3, 2, 1, 0],
[5, 3, 1, 7, 9, 2, 4, 6, 8, 0]],
[[5, 5, 5, 5, 5, 5, 5, 5, 5, 5],
[1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
[8, 7, 6, 5, 4, 3, 2, 1, 8, 7]],
[[7, 5, 7, 5, 7, 5, 7, 5, 7, 5],
[1, 2, 1, 2, 1, 2, 1, 2, 1, 2],
[9, 8, 7, 9, 8, 7, 9, 8, 7, 9]]],
begin: [1, 1, 2]
}
result = o.eval(feed_dict=params)
self.assertAllEqual([[[1, 1, 1, 1], [6, 5, 4, 3]]], result)
class StridedSliceTest(xla_test.XLATestCase):
def test1D(self):
for dtype in self.numeric_types:
with self.cached_session():
i = array_ops.placeholder(dtype, shape=[10])
with self.test_scope():
o = array_ops.strided_slice(i, [2], [6], [2])
params = {
i: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
}
result = o.eval(feed_dict=params)
self.assertAllEqual([2, 4], result)
def test1DNegativeStride(self):
for dtype in self.numeric_types:
with self.cached_session():
i = array_ops.placeholder(dtype, shape=[10])
with self.test_scope():
o = array_ops.strided_slice(i, [6], [2], [-2])
params = {
i: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
}
result = o.eval(feed_dict=params)
self.assertAllEqual([6, 4], result)
def test2DDegenerate(self):
for dtype in self.numeric_types:
with self.cached_session():
i = array_ops.placeholder(dtype, shape=[2, 3])
with self.test_scope():
o = array_ops.strided_slice(i, [-1, 0], [0, 3])
params = {
i: [[0, 1, 2],
[3, 4, 5]]
}
result = o.eval(feed_dict=params)
self.assertEqual(tensor_shape.TensorShape((0, 3)), result.shape)
def test2DDegenerateNegativeStride(self):
for dtype in self.numeric_types:
with self.cached_session():
i = array_ops.placeholder(dtype, shape=[2, 3])
with self.test_scope():
o = array_ops.strided_slice(i, [0, 0], [-1, 3], [-1, 1])
params = {
i: [[0, 1, 2],
[3, 4, 5]]
}
result = o.eval(feed_dict=params)
self.assertEqual(tensor_shape.TensorShape((0, 3)), result.shape)
def test3D(self):
for dtype in self.numeric_types:
with self.cached_session():
i = array_ops.placeholder(dtype, shape=[3, 3, 10])
with self.test_scope():
o = array_ops.strided_slice(i, [0, 2, 2], [2, 3, 6], [1, 1, 2])
params = {
i: [[[0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
[9, 8, 7, 6, 5, 4, 3, 2, 1, 0],
[5, 3, 1, 7, 9, 2, 4, 6, 8, 0]],
[[5, 5, 5, 5, 5, 5, 5, 5, 5, 5],
[1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
[8, 7, 6, 5, 4, 3, 2, 1, 8, 7]],
[[7, 5, 7, 5, 7, 5, 7, 5, 7, 5],
[1, 2, 1, 2, 1, 2, 1, 2, 1, 2],
[9, 8, 7, 9, 8, 7, 9, 8, 7, 9]]]
}
result = o.eval(feed_dict=params)
self.assertAllEqual([[[1, 9]], [[6, 4]]], result)
def test3DNegativeStride(self):
for dtype in self.numeric_types:
with self.cached_session():
i = array_ops.placeholder(dtype, shape=[3, 4, 10])
with self.test_scope():
o = array_ops.strided_slice(i, [2, 2, 6], [0, 0, 2], [-1, -1, -2])
params = {
i: [[[0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
[9, 8, 7, 6, 5, 4, 3, 2, 1, 0],
[5, 3, 1, 7, 9, 2, 4, 6, 8, 0],
[4, 5, 2, 4, 3, 7, 6, 8, 9, 4]],
[[5, 5, 5, 5, 5, 5, 5, 5, 5, 5],
[4, 3, 4, 5, 7, 6, 5, 3, 4, 5],
[8, 7, 6, 5, 4, 3, 2, 1, 8, 7],
[7, 1, 7, 1, 8, 1, 8, 1, 3, 1]],
[[7, 5, 7, 5, 7, 5, 7, 5, 7, 5],
[1, 2, 1, 2, 1, 2, 1, 2, 1, 2],
[9, 8, 7, 9, 8, 7, 9, 8, 7, 9],
[9, 9, 5, 5, 6, 6, 3, 3, 6, 6]]]
}
result = o.eval(feed_dict=params)
self.assertAllEqual([[[9, 8],
[1, 1]],
[[2, 4],
[5, 7]]], result)
if __name__ == "__main__":
googletest.main()
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