1# Copyright 2017 The TensorFlow Authors. All Rights Reserved. 2# 3# Licensed under the Apache License, Version 2.0 (the "License"); 4# you may not use this file except in compliance with the License. 5# You may obtain a copy of the License at 6# 7# http://www.apache.org/licenses/LICENSE-2.0 8# 9# Unless required by applicable law or agreed to in writing, software 10# distributed under the License is distributed on an "AS IS" BASIS, 11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12# See the License for the specific language governing permissions and 13# limitations under the License. 14# ============================================================================== 15"""Unit tests for InputToOps class.""" 16 17from __future__ import absolute_import 18from __future__ import division 19from __future__ import print_function 20 21from tensorflow.contrib.quantize.python import input_to_ops 22from tensorflow.python.framework import ops 23from tensorflow.python.framework import test_util 24from tensorflow.python.ops import array_ops 25from tensorflow.python.ops import nn_ops 26from tensorflow.python.platform import googletest 27 28 29class InputToOpsTest(test_util.TensorFlowTestCase): 30 31 def testNoConsumerOperations(self): 32 graph = ops.Graph() 33 with graph.as_default(): 34 input_tensor = array_ops.zeros((1, 2, 3, 4)) 35 36 input_to_ops_map = input_to_ops.InputToOps(graph) 37 consumer_operations = input_to_ops_map.ConsumerOperations(input_tensor.op) 38 39 self.assertEqual(0, len(consumer_operations)) 40 41 def testOneConsumerOperation(self): 42 graph = ops.Graph() 43 with graph.as_default(): 44 input_tensor = array_ops.zeros((1, 2, 3, 4)) 45 output_tensor = nn_ops.relu6(input_tensor) 46 47 input_to_ops_map = input_to_ops.InputToOps(graph) 48 consumer_operations = input_to_ops_map.ConsumerOperations(input_tensor.op) 49 50 self.assertEqual(consumer_operations, {output_tensor.op}) 51 52 def testSeveralConsumerOperations(self): 53 graph = ops.Graph() 54 with graph.as_default(): 55 input_tensor = array_ops.zeros((1, 2, 3, 4)) 56 output_tensor_1 = nn_ops.relu6(input_tensor) 57 output_tensor_2 = input_tensor + output_tensor_1 58 output_tensor_3 = input_tensor * output_tensor_2 59 60 input_to_ops_map = input_to_ops.InputToOps(graph) 61 consumer_operations = input_to_ops_map.ConsumerOperations(input_tensor.op) 62 63 self.assertEqual(consumer_operations, 64 {output_tensor_1.op, output_tensor_2.op, 65 output_tensor_3.op}) 66 67if __name__ == '__main__': 68 googletest.main() 69