133 lines
4.3 KiB
Python
133 lines
4.3 KiB
Python
# Copyright 2020 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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"""Tests for where op."""
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# pylint: disable=g-direct-tensorflow-import
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from tensorflow.compiler.tests import xla_test
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from tensorflow.python.framework import config
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from tensorflow.python.framework import dtypes
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from tensorflow.python.ops import array_ops
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from tensorflow.python.ops import math_ops
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from tensorflow.python.platform import test
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from tensorflow.python.tpu import tpu
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# pylint: enable=g-direct-tensorflow-import
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class WhereOpTest(xla_test.XLATestCase):
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def __init__(self, method_name="runTest"):
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super(WhereOpTest, self).__init__(method_name)
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if config.list_logical_devices("TPU"):
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with self.session() as sess:
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sess.run(tpu.initialize_system())
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def testWhere(self):
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"""Test first form of where (return indices)."""
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with self.session() as sess:
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with self.test_scope():
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x = array_ops.placeholder(dtypes.bool)
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true_vals = array_ops.where(x)
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# Output of the computation is dynamic.
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feed = [[True, False, False], [False, True, True]]
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self.assertAllEqual([[0, 0], [1, 1], [1, 2]],
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sess.run(true_vals, {x: feed}))
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def testWhereGather(self):
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"""Test where followed by a gather."""
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with self.session() as sess:
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with self.test_scope():
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x = array_ops.placeholder(dtypes.bool)
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value = array_ops.constant([[0, 1], [2, 3]], dtypes.float32)
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true_vals = array_ops.where(x)
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# Gather 0, 2, 3.
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gathered = array_ops.gather_nd(value, true_vals)
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feed = [[True, False], [True, True]]
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self.assertAllEqual([0, 2, 3], sess.run(gathered, {x: feed}))
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def testWhereGatherReduce(self):
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"""Test where followed by a gather and a reduce."""
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with self.session() as sess:
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with self.test_scope():
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x = array_ops.placeholder(dtypes.bool)
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value = array_ops.constant([[0, 1], [2, 3]], dtypes.float32)
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indices = array_ops.where(x)
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# Reduce to 5
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gathered = array_ops.gather_nd(value, indices)
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reduction = math_ops.reduce_sum(gathered)
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feed = [[True, False], [True, True]]
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self.assertAllEqual(5, sess.run(reduction, {x: feed}))
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def testWhere1D(self):
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"""Test first form of where (return indices)."""
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with self.session() as sess:
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with self.test_scope():
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x = array_ops.placeholder(dtypes.bool)
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result = array_ops.where(x)
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# Output of the computation is dynamic.
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feed = [True, False, True]
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self.assertAllEqual([[0], [2]], sess.run(result, {x: feed}))
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def testWhereInt(self):
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"""Test Where with integers."""
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with self.session() as sess:
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with self.test_scope():
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x = array_ops.placeholder(dtypes.int32)
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result = array_ops.where(x)
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# Output of the computation is dynamic.
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feed = [-1, 0, 1]
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self.assertAllEqual([[0], [2]], sess.run(result, {x: feed}))
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def testWhereFloat(self):
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"""Test Where with floats."""
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with self.session() as sess:
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with self.test_scope():
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x = array_ops.placeholder(dtypes.float32)
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result = array_ops.where(x)
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# Output of the computation is dynamic.
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feed = [-1.0, -0.0, 0.0, 1.0]
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self.assertAllEqual([[0], [3]], sess.run(result, {x: feed}))
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def testWhereComplex(self):
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"""Test Where with floats."""
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with self.session() as sess:
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with self.test_scope():
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x = array_ops.placeholder(dtypes.complex64)
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result = array_ops.where(x)
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# Output of the computation is dynamic.
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feed = [
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-1.0 + 0.0j, -0.0 + 0.0j, 0.0 - 0.0j, 1.0 - 1.0j, 1.0 + 0.0j,
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0.0 + 1.0j
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]
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self.assertAllEqual([[0], [3], [4], [5]], sess.run(result, {x: feed}))
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if __name__ == "__main__":
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test.main()
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