Test these ops with Bucketize, LRN and LRNGrad ops PiperOrigin-RevId: 316211359 Change-Id: Ief1d518e3c0baddc21d86bb03ae022056be7fb13
81 lines
3.0 KiB
Python
81 lines
3.0 KiB
Python
# Copyright 2016 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 bucketize_op."""
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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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from tensorflow.compiler.tests import xla_test
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from tensorflow.python.framework import dtypes
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from tensorflow.python.framework import errors_impl
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from tensorflow.python.framework import test_util
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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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class BucketizationOpTest(xla_test.XLATestCase):
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def testInt(self):
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with self.session() as sess:
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p = array_ops.placeholder(dtypes.int32)
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with self.test_scope():
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op = math_ops._bucketize(p, boundaries=[0, 3, 8, 11])
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expected_out = [0, 1, 1, 2, 2, 3, 3, 4, 4]
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self.assertAllEqual(expected_out,
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sess.run(op, {p: [-5, 0, 2, 3, 5, 8, 10, 11, 12]}))
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def testFloat(self):
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with self.session() as sess:
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p = array_ops.placeholder(dtypes.float32)
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with self.test_scope():
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op = math_ops._bucketize(p, boundaries=[0., 3., 8., 11.])
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expected_out = [0, 1, 1, 2, 2, 3, 3, 4, 4]
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self.assertAllEqual(
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expected_out,
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sess.run(op, {p: [-5., 0., 2., 3., 5., 8., 10., 11., 12.]}))
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def test2DInput(self):
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with self.session() as sess:
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p = array_ops.placeholder(dtypes.float32)
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with self.test_scope():
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op = math_ops._bucketize(p, boundaries=[0, 3, 8, 11])
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expected_out = [[0, 1, 1, 2, 2], [3, 3, 4, 4, 1]]
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self.assertAllEqual(
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expected_out, sess.run(op,
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{p: [[-5, 0, 2, 3, 5], [8, 10, 11, 12, 0]]}))
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@test_util.disable_mlir_bridge("Error handling")
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def testInvalidBoundariesOrder(self):
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with self.session() as sess:
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p = array_ops.placeholder(dtypes.int32)
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with self.test_scope():
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op = math_ops._bucketize(p, boundaries=[0, 8, 3, 11])
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with self.assertRaisesRegexp(errors_impl.InvalidArgumentError,
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"Expected sorted boundaries"):
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sess.run(op, {p: [-5, 0]})
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def testBoundariesNotList(self):
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with self.session():
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with self.assertRaisesRegexp(TypeError, "Expected list.*"):
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p = array_ops.placeholder(dtypes.int32)
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with self.test_scope():
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math_ops._bucketize(p, boundaries=0)
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if __name__ == "__main__":
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test.main()
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