| # Copyright 2016 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 tf.contrib.tensor_forest.ops.scatter_add_ndim_op.""" |
| |
| from __future__ import absolute_import |
| from __future__ import division |
| from __future__ import print_function |
| |
| from tensorflow.contrib.tensor_forest.python.ops import tensor_forest_ops |
| from tensorflow.python.framework import test_util |
| from tensorflow.python.ops import variables |
| from tensorflow.python.platform import googletest |
| |
| |
| class ScatterAddNdimTest(test_util.TensorFlowTestCase): |
| |
| def test1dim(self): |
| input_data = variables.Variable( |
| [1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12.]) |
| indices = [[1], [10]] |
| updates = [100., 200.] |
| |
| with self.cached_session(): |
| variables.global_variables_initializer().run() |
| tensor_forest_ops.scatter_add_ndim(input_data, indices, updates).run() |
| self.assertAllEqual( |
| [1., 102., 3., 4., 5., 6., 7., 8., 9., 10., 211., 12.], |
| input_data.eval()) |
| |
| def test3dim(self): |
| input_data = variables.Variable([[[1., 2., 3.], [4., 5., 6.]], |
| [[7., 8., 9.], [10., 11., 12.]]]) |
| indices = [[0, 0, 1], [1, 1, 2]] |
| updates = [100., 200.] |
| |
| with self.cached_session(): |
| variables.global_variables_initializer().run() |
| tensor_forest_ops.scatter_add_ndim(input_data, indices, updates).run() |
| self.assertAllEqual([[[1., 102., 3.], [4., 5., 6.]], |
| [[7., 8., 9.], [10., 11., 212.]]], input_data.eval()) |
| |
| def testNoUpdates(self): |
| init_val = [[[1., 2., 3.], [4., 5., 6.]], [[7., 8., 9.], [10., 11., 12.]]] |
| input_data = variables.Variable(init_val) |
| indices = [] |
| updates = [] |
| |
| with self.cached_session(): |
| variables.global_variables_initializer().run() |
| tensor_forest_ops.scatter_add_ndim(input_data, indices, updates).run() |
| self.assertAllEqual(init_val, input_data.eval()) |
| |
| def testBadInput(self): |
| init_val = [[[1., 2., 3.], [4., 5., 6.]], [[7., 8., 9.], [10., 11., 12.]]] |
| input_data = variables.Variable(init_val) |
| indices = [[0, 0, 1], [1, 1, 2]] |
| updates = [100.] |
| with self.cached_session(): |
| variables.global_variables_initializer().run() |
| with self.assertRaisesOpError( |
| 'Number of updates should be same as number of indices.'): |
| tensor_forest_ops.scatter_add_ndim(input_data, indices, updates).run() |
| self.assertAllEqual(init_val, input_data.eval()) |
| |
| def testIncompleteIndices(self): |
| input_data = variables.Variable([[[1., 2., 3.], [4., 5., 6.]], |
| [[7., 8., 9.], [10., 11., 12.]]]) |
| indices = [[0, 0], [1, 1]] |
| updates = [[100., 200., 300.], [400., 500., 600.]] |
| |
| with self.cached_session(): |
| variables.global_variables_initializer().run() |
| tensor_forest_ops.scatter_add_ndim(input_data, indices, updates).run() |
| self.assertAllEqual([[[101., 202., 303.], [4., 5., 6.]], |
| [[7., 8., 9.], [410., 511., 612.]]], |
| input_data.eval()) |
| |
| |
| if __name__ == '__main__': |
| googletest.main() |