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# 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.
# ==============================================================================
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import random
# pylint: disable=unused-import
from tensorflow.contrib.tensor_forest.hybrid.python.layers import decisions_to_data
from tensorflow.contrib.tensor_forest.python import tensor_forest
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import test_util
from tensorflow.python.framework.ops import Operation
from tensorflow.python.framework.ops import Tensor
from tensorflow.python.ops import variable_scope
from tensorflow.python.platform import googletest
class DecisionsToDataTest(test_util.TensorFlowTestCase):
def setUp(self):
self.params = tensor_forest.ForestHParams(
num_classes=2,
num_features=31,
layer_size=11,
num_layers=13,
num_trees=17,
connection_probability=0.1,
hybrid_tree_depth=4,
regularization_strength=0.01,
regularization="",
learning_rate=0.01,
weight_init_mean=0.0,
weight_init_std=0.1)
self.params.regression = False
self.params.num_nodes = 2**self.params.hybrid_tree_depth - 1
self.params.num_leaves = 2**(self.params.hybrid_tree_depth - 1)
# pylint: disable=W0612
self.input_data = constant_op.constant(
[[random.uniform(-1, 1) for i in range(self.params.num_features)]
for _ in range(100)])
def testInferenceConstruction(self):
with variable_scope.variable_scope(
"DecisionsToDataTest_testInferenceContruction"):
graph_builder = decisions_to_data.DecisionsToDataLayer(self.params, 0,
None)
unused_graph = graph_builder.inference_graph(self.input_data)
if __name__ == "__main__":
googletest.main()
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