faf6a15ff4
Remove support for composite expansion in While due to IndexedSlices handling. PiperOrigin-RevId: 333413179 Change-Id: I9a3a1fab34b74f3741307c9ebdd42aac15f13bf7
87 lines
2.8 KiB
Python
87 lines
2.8 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 functional operations."""
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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.eager import def_function
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from tensorflow.python.framework import dtypes
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from tensorflow.python.framework import function
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from tensorflow.python.framework import ops
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from tensorflow.python.framework import sparse_tensor
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from tensorflow.python.framework import tensor_spec
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from tensorflow.python.ops import functional_ops
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from tensorflow.python.platform import test
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class FunctionalOpsTest(test.TestCase):
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def testIfWithDefun(self):
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# Defun should only be used in graph mode
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with ops.Graph().as_default():
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@function.Defun(dtypes.float32)
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def Then(x):
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return x + 1
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@function.Defun(dtypes.float32)
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def Else(x):
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return x - 1
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inputs = [10.]
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result = self.evaluate(functional_ops.If(False, inputs, Then, Else))
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self.assertEqual([9.0], result)
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def testIfWithFunction(self):
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@def_function.function(
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input_signature=[tensor_spec.TensorSpec((), dtypes.float32)])
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def Then(x):
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return x + 1
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@def_function.function(
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input_signature=[tensor_spec.TensorSpec((), dtypes.float32)])
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def Else(x):
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return x - 1
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inputs = [10.]
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then_cf = Then.get_concrete_function()
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else_cf = Else.get_concrete_function()
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result = self.evaluate(functional_ops.If(False, inputs, then_cf, else_cf))
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self.assertEqual([9.0], result)
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def testIfWithFunctionComposite(self):
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signature = [tensor_spec.TensorSpec([], dtypes.float32)]
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@def_function.function(input_signature=signature)
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def Then(x):
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return sparse_tensor.SparseTensor([[0]], [x + 1], [1])
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@def_function.function(input_signature=signature)
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def Else(x):
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return sparse_tensor.SparseTensor([[0]], [x - 1], [1])
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inputs = [10.]
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then_cf = Then.get_concrete_function()
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else_cf = Else.get_concrete_function()
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result = functional_ops.If(False, inputs, then_cf, else_cf)
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self.assertIsInstance(result, sparse_tensor.SparseTensor)
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self.assertAllEqual([9.0], result.values)
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if __name__ == '__main__':
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test.main()
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