163 lines
6.3 KiB
Python
163 lines
6.3 KiB
Python
# Copyright 2018 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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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.python.client import session
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from tensorflow.python.framework import constant_op
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from tensorflow.python.framework import dtypes
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from tensorflow.python.framework import ops
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from tensorflow.python.framework import smart_cond
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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 control_flow_ops
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from tensorflow.python.ops import math_ops
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from tensorflow.python.platform import googletest
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def raise_exception():
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raise RuntimeError("did not expect to be called")
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class SmartCondTest(test_util.TensorFlowTestCase):
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@test_util.run_deprecated_v1
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def testTrue(self):
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with ops.Graph().as_default():
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with session.Session():
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x = constant_op.constant(2)
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y = constant_op.constant(5)
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z = smart_cond.smart_cond(True, lambda: math_ops.multiply(x, 16),
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lambda: math_ops.multiply(y, 5))
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self.assertEqual(z.eval(), 32)
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@test_util.run_deprecated_v1
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def testFalse(self):
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with ops.Graph().as_default():
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with session.Session():
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x = constant_op.constant(4)
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y = constant_op.constant(3)
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z = smart_cond.smart_cond(False, lambda: math_ops.multiply(x, 16),
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lambda: math_ops.multiply(y, 3))
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self.assertEqual(z.eval(), 9)
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def testUnknown(self):
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with ops.Graph().as_default():
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with session.Session():
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x = array_ops.placeholder(dtype=dtypes.int32)
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y = smart_cond.smart_cond(x > 0, lambda: constant_op.constant(1),
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lambda: constant_op.constant(2))
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self.assertEqual(y.eval(feed_dict={x: 1}), 1)
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self.assertEqual(y.eval(feed_dict={x: -1}), 2)
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def testEval(self):
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with ops.Graph().as_default():
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with session.Session():
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x = constant_op.constant(1)
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y = constant_op.constant(2)
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# x * y > 0 can be evaluated at graph construction time, so the false
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# branch shouldn't be evaluated at all.
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z = smart_cond.smart_cond(x * y > 0, lambda: constant_op.constant(1),
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raise_exception)
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self.assertEqual(z.eval(feed_dict={x: 1}), 1)
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def testPlaceholderWithDefault(self):
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with ops.Graph().as_default():
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with session.Session():
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x = array_ops.placeholder_with_default(1, shape=())
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y = smart_cond.smart_cond(x > 0, lambda: constant_op.constant(1),
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lambda: constant_op.constant(2))
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self.assertEqual(y.eval(), 1)
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self.assertEqual(y.eval(feed_dict={x: -1}), 2)
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def testMissingArg1(self):
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with ops.Graph().as_default():
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with session.Session():
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x = constant_op.constant(1)
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with self.assertRaises(TypeError):
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smart_cond.smart_cond(True, false_fn=lambda: x)
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def testMissingArg2(self):
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with ops.Graph().as_default():
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with session.Session():
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x = constant_op.constant(1)
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with self.assertRaises(TypeError):
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smart_cond.smart_cond(True, lambda: x)
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class SmartCaseTest(test_util.TensorFlowTestCase):
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@test_util.run_deprecated_v1
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def testTrue(self):
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x = array_ops.placeholder(dtype=dtypes.int32, shape=[])
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conditions = [(True, lambda: constant_op.constant(1)),
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(x == 0, raise_exception)]
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y = smart_cond.smart_case(conditions, default=raise_exception,
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exclusive=False)
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z = smart_cond.smart_case(conditions, default=raise_exception,
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exclusive=True)
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with session.Session() as sess:
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# No feed_dict necessary
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self.assertEqual(self.evaluate(y), 1)
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self.assertEqual(self.evaluate(z), 1)
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@test_util.run_deprecated_v1
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def testFalse(self):
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conditions = [(False, raise_exception)]
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y = smart_cond.smart_case(conditions,
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default=lambda: constant_op.constant(1),
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exclusive=False)
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z = smart_cond.smart_case(conditions,
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default=lambda: constant_op.constant(1),
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exclusive=True)
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with session.Session() as sess:
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self.assertEqual(self.evaluate(y), 1)
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self.assertEqual(self.evaluate(z), 1)
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@test_util.run_deprecated_v1
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def testMix(self):
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x = array_ops.placeholder(dtype=dtypes.int32, shape=[])
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y = constant_op.constant(10)
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conditions = [(x > 1, lambda: constant_op.constant(1)),
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(y < 1, raise_exception),
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(False, raise_exception),
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(True, lambda: constant_op.constant(3))]
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z = smart_cond.smart_case(conditions, default=raise_exception)
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with session.Session() as sess:
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self.assertEqual(sess.run(z, feed_dict={x: 2}), 1)
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self.assertEqual(sess.run(z, feed_dict={x: 0}), 3)
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class SmartConstantValueTest(test_util.TensorFlowTestCase):
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# TODO(skyewm): this is essentially a regression test for
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# TF_TryEvaluateConstant, and is not really a valid smart_constant_value test
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# (smart_constant_value is only supposed to return bools). Move the
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# TF_TryEvaluateConstant call to tensor_util.constant_value and make this a
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# constant_value test instead.
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def testCond(self):
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with ops.Graph().as_default():
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pred = array_ops.placeholder_with_default(True, shape=())
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x = control_flow_ops.cond(pred,
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lambda: constant_op.constant(1),
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lambda: constant_op.constant(2))
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self.assertIsNone(smart_cond.smart_constant_value(x))
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if __name__ == "__main__":
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googletest.main()
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