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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.
# ==============================================================================
"""Tests for tf.contrib.tensor_forest.ops.finished_nodes_op."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow # pylint: disable=unused-import
from tensorflow.contrib.tensor_forest.python.ops import training_ops
from tensorflow.python.framework import test_util
from tensorflow.python.platform import googletest
class FinishedNodesTest(test_util.TensorFlowTestCase):
def setUp(self):
self.leaves = [1, 3, 4]
self.node_map = [-1, -1, -1, 0, 1, -1]
self.split_sums = [
# Accumulator 1
[[3, 0, 3], [2, 1, 1], [3, 1, 2]],
# Accumulator 2
[[6, 3, 3], [6, 2, 4], [5, 0, 5]],
# Accumulator 3
[[0, 0, 0], [0, 0, 0], [0, 0, 0]],
# Accumulator 4
[[0, 0, 0], [0, 0, 0], [0, 0, 0]],
# Accumulator 5
[[0, 0, 0], [0, 0, 0], [0, 0, 0]]
]
self.split_squares = []
self.accumulator_sums = [[6, 3, 3], [11, 4, 7], [0, 0, 0], [0, 0, 0],
[0, 0, 0]]
self.accumulator_squares = []
self.ops = training_ops.Load()
self.birth_epochs = [0, 0, 0, 1, 1, 1]
self.current_epoch = [1]
def testSimple(self):
with self.test_session():
finished, stale = self.ops.finished_nodes(
self.leaves, self.node_map, self.split_sums,
self.split_squares, self.accumulator_sums, self.accumulator_squares,
self.birth_epochs, self.current_epoch,
regression=False, num_split_after_samples=10, min_split_samples=10)
self.assertAllEqual([4], finished.eval())
self.assertAllEqual([], stale.eval())
def testNoAccumulators(self):
with self.test_session():
finished, stale = self.ops.finished_nodes(
self.leaves, [-1] * 6, self.split_sums,
self.split_squares, self.accumulator_sums, self.accumulator_squares,
self.birth_epochs, self.current_epoch,
regression=False, num_split_after_samples=10, min_split_samples=10)
self.assertAllEqual([], finished.eval())
self.assertAllEqual([], stale.eval())
def testBadInput(self):
with self.test_session():
with self.assertRaisesOpError(
'leaf_tensor should be one-dimensional'):
finished, stale = self.ops.finished_nodes(
[self.leaves], self.node_map, self.split_sums,
self.split_squares, self.accumulator_sums, self.accumulator_squares,
self.birth_epochs, self.current_epoch,
regression=False, num_split_after_samples=10, min_split_samples=10)
self.assertAllEqual([], finished.eval())
self.assertAllEqual([], stale.eval())
def testEarlyDominates(self):
with self.test_session():
finished, stale = self.ops.finished_nodes(
self.leaves, self.node_map, self.split_sums,
self.split_squares, self.accumulator_sums, self.accumulator_squares,
self.birth_epochs, self.current_epoch,
regression=False, num_split_after_samples=10, min_split_samples=5)
self.assertAllEqual([4], finished.eval())
self.assertAllEqual([], stale.eval())
if __name__ == '__main__':
googletest.main()
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