STT-tensorflow/tensorflow/compiler/tests/where_op_test.py
Smit Hinsu 3061483034 Move WhereOp kernel to the common directory tf2xla/kernels
This will allow it to be used with the new bridge using the fallback path.

Also Added test for the kernel.

PiperOrigin-RevId: 342324585
Change-Id: I343b05809241484ea4fe5081110c7dc773f547ad
2020-11-13 13:21:45 -08:00

91 lines
3.0 KiB
Python

# Copyright 2020 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 where op."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
# pylint: disable=g-direct-tensorflow-import
from tensorflow.compiler.tests import xla_test
from tensorflow.python.framework import dtypes
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.platform import test
# pylint: enable=g-direct-tensorflow-import
class WhereOpTest(xla_test.XLATestCase):
def testWhere(self):
"""Test first form of where (return indices)."""
with self.session() as sess:
with self.test_scope():
x = array_ops.placeholder(dtypes.bool)
true_vals = array_ops.where(x)
# Output of the computation is dynamic.
feed = [[True, False, False], [False, True, True]]
self.assertAllEqual([[0, 0], [1, 1], [1, 2]],
sess.run(true_vals, {x: feed}))
def testWhereGather(self):
"""Test where followed by a gather."""
with self.session() as sess:
with self.test_scope():
x = array_ops.placeholder(dtypes.bool)
value = array_ops.constant([[0, 1], [2, 3]], dtypes.float32)
true_vals = array_ops.where(x)
# Gather 0, 2, 3.
gathered = array_ops.gather_nd(value, true_vals)
feed = [[True, False], [True, True]]
self.assertAllEqual([0, 2, 3], sess.run(gathered, {x: feed}))
def testWhereGatherReduce(self):
"""Test where followed by a gather and a reduce."""
with self.session() as sess:
with self.test_scope():
x = array_ops.placeholder(dtypes.bool)
value = array_ops.constant([[0, 1], [2, 3]], dtypes.float32)
indices = array_ops.where(x)
# Reduce to 5
gathered = array_ops.gather_nd(value, indices)
reduction = math_ops.reduce_sum(gathered)
feed = [[True, False], [True, True]]
self.assertAllEqual(5, sess.run(reduction, {x: feed}))
def testWhere1D(self):
"""Test first form of where (return indices)."""
with self.session() as sess:
with self.test_scope():
x = array_ops.placeholder(dtypes.bool)
result = array_ops.where(x)
# Output of the computation is dynamic.
feed = [True, False, True]
self.assertAllEqual([[0], [2]], sess.run(result, {x: feed}))
if __name__ == "__main__":
test.main()