1/* Copyright 2017 The TensorFlow Authors. All Rights Reserved. 2 3Licensed under the Apache License, Version 2.0 (the "License"); 4you may not use this file except in compliance with the License. 5You may obtain a copy of the License at 6 7 http://www.apache.org/licenses/LICENSE-2.0 8 9Unless required by applicable law or agreed to in writing, software 10distributed under the License is distributed on an "AS IS" BASIS, 11WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12See the License for the specific language governing permissions and 13limitations under the License. 14==============================================================================*/ 15#include <gtest/gtest.h> 16#include "tensorflow/contrib/lite/builtin_op_data.h" 17#include "tensorflow/contrib/lite/interpreter.h" 18#include "tensorflow/contrib/lite/kernels/register.h" 19#include "tensorflow/contrib/lite/kernels/test_util.h" 20#include "tensorflow/contrib/lite/model.h" 21 22namespace tflite { 23namespace { 24 25using ::testing::ElementsAreArray; 26 27class GatherOpModel : public SingleOpModel { 28 public: 29 GatherOpModel(std::initializer_list<int> input_shape, TensorType input_type, 30 std::initializer_list<int> positions_shape) { 31 input_ = AddInput(input_type); 32 positions_ = AddInput(TensorType_INT32); 33 output_ = AddOutput(input_type); 34 SetBuiltinOp(BuiltinOperator_GATHER, BuiltinOptions_GatherOptions, 35 CreateGatherOptions(builder_, 0).Union()); 36 BuildInterpreter({input_shape, positions_shape}); 37 } 38 39 void SetInputFloat(std::initializer_list<float> data) { 40 PopulateTensor<float>(input_, data); 41 } 42 43 void SetInputUint8(std::initializer_list<uint8_t> data) { 44 PopulateTensor<uint8_t>(input_, data); 45 } 46 47 void SetInput(std::initializer_list<string> data) { 48 PopulateStringTensor(input_, data); 49 } 50 51 void SetPositions(std::initializer_list<int> data) { 52 PopulateTensor<int>(positions_, data); 53 } 54 55 std::vector<float> GetOutputFloat() { return ExtractVector<float>(output_); } 56 std::vector<uint8_t> GetOutputUint8() { 57 return ExtractVector<uint8_t>(output_); 58 } 59 std::vector<string> GetOutputString() { 60 return ExtractVector<string>(output_); 61 } 62 std::vector<int> GetOutputShape() { return GetTensorShape(output_); } 63 64 protected: 65 int input_; 66 int positions_; 67 int output_; 68}; 69 70TEST(GatherOpTest, Shuffle) { 71 GatherOpModel m({2, 2}, TensorType_FLOAT32, {2}); 72 m.SetInputFloat({-2.0, 0.2, 0.7, 0.8}); 73 m.SetPositions({1, 0}); 74 m.Invoke(); 75 EXPECT_THAT(m.GetOutputFloat(), 76 ElementsAreArray(ArrayFloatNear({0.7, 0.8, -2, 0.2}))); 77} 78 79TEST(GatherOpTest, Test0DIndex) { 80 GatherOpModel m({2, 2}, TensorType_FLOAT32, {}); 81 m.SetInputFloat({-2.0, 0.2, 0.7, 0.8}); 82 m.SetPositions({1}); 83 m.Invoke(); 84 EXPECT_THAT(m.GetOutputFloat(), ElementsAreArray(ArrayFloatNear({0.7, 0.8}))); 85 EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({2})); 86} 87 88TEST(GatherOpTest, Test0DIndexWith0DResult) { 89 // 0D tensor is special case in current TFLite. Test it once to make sure 90 // existing workarounds are fine with it. 91 GatherOpModel m({3}, TensorType_FLOAT32, {}); 92 m.SetInputFloat({1.0, 2.0, 3.0}); 93 m.SetPositions({1}); 94 m.Invoke(); 95 EXPECT_THAT(m.GetOutputFloat(), ElementsAreArray(ArrayFloatNear({2.0}))); 96 EXPECT_TRUE(m.GetOutputShape().empty()); 97} 98 99TEST(FloatGatherOpTest, Duplicate) { 100 GatherOpModel m({1, 2, 2}, TensorType_FLOAT32, {2}); 101 m.SetInputFloat({-2.0, 0.2, 0.7, 0.8}); 102 m.SetPositions({0, 0}); 103 m.Invoke(); 104 EXPECT_THAT( 105 m.GetOutputFloat(), 106 ElementsAreArray(ArrayFloatNear({-2, 0.2, 0.7, 0.8, -2, 0.2, 0.7, 0.8}))); 107} 108 109TEST(FloatGatherOpTest, Slice) { 110 GatherOpModel m({4, 1}, TensorType_FLOAT32, {2}); 111 m.SetInputFloat({-2.0, 0.2, 0.7, 0.8}); 112 m.SetPositions({1, 3}); 113 m.Invoke(); 114 EXPECT_THAT(m.GetOutputFloat(), ElementsAreArray(ArrayFloatNear({0.2, 0.8}))); 115} 116 117TEST(Uint8tGatherOpTest, Shuffle) { 118 GatherOpModel m({2, 2}, TensorType_UINT8, {2}); 119 m.SetInputUint8({133, 134, 14, 15}); 120 m.SetPositions({1, 0}); 121 m.Invoke(); 122 123 EXPECT_THAT(m.GetOutputUint8(), ElementsAreArray({14, 15, 133, 134})); 124} 125 126TEST(GatherOpTest, SimpleString) { 127 GatherOpModel m({3}, TensorType_STRING, {2}); 128 m.SetInput({"A", "B", "C"}); 129 m.SetPositions({0, 2}); 130 m.Invoke(); 131 ASSERT_THAT(m.GetOutputShape(), ElementsAreArray({2})); 132 EXPECT_THAT(m.GetOutputString(), ElementsAreArray({"A", "C"})); 133} 134} // namespace 135} // namespace tflite 136 137int main(int argc, char** argv) { 138 ::tflite::LogToStderr(); 139 ::testing::InitGoogleTest(&argc, argv); 140 return RUN_ALL_TESTS(); 141} 142