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author | A. Unique TensorFlower <gardener@tensorflow.org> | 2018-01-18 13:31:04 -0800 |
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committer | TensorFlower Gardener <gardener@tensorflow.org> | 2018-01-18 13:34:51 -0800 |
commit | 45c47cabe7150386420b182a8026699ff704b8f4 (patch) | |
tree | 675246e399521be14e0f369c3507ad3d3bd5f673 /tensorflow/contrib/lite/kernels/squeeze_test.cc | |
parent | 053470bc1a06b5f1cc65605bf21d48b3e92d6857 (diff) |
Supports Squeeze in Tf Lite.
PiperOrigin-RevId: 182429180
Diffstat (limited to 'tensorflow/contrib/lite/kernels/squeeze_test.cc')
-rw-r--r-- | tensorflow/contrib/lite/kernels/squeeze_test.cc | 113 |
1 files changed, 113 insertions, 0 deletions
diff --git a/tensorflow/contrib/lite/kernels/squeeze_test.cc b/tensorflow/contrib/lite/kernels/squeeze_test.cc new file mode 100644 index 0000000000..409227b626 --- /dev/null +++ b/tensorflow/contrib/lite/kernels/squeeze_test.cc @@ -0,0 +1,113 @@ +/* Copyright 2018 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. +==============================================================================*/ +#include <gtest/gtest.h> +#include "tensorflow/contrib/lite/interpreter.h" +#include "tensorflow/contrib/lite/kernels/register.h" +#include "tensorflow/contrib/lite/kernels/test_util.h" +#include "tensorflow/contrib/lite/model.h" + +namespace tflite { +namespace { + +using ::testing::ElementsAreArray; + +class BaseSqueezeOpModel : public SingleOpModel { + public: + BaseSqueezeOpModel(const TensorData& input, const TensorData& output, + std::initializer_list<int> axis) { + input_ = AddInput(input); + output_ = AddOutput(output); + SetBuiltinOp( + BuiltinOperator_SQUEEZE, BuiltinOptions_SqueezeOptions, + CreateSqueezeOptions(builder_, builder_.CreateVector<int>(axis)) + .Union()); + BuildInterpreter({GetShape(input_)}); + } + + int input() { return input_; } + + protected: + int input_; + int output_; +}; + +class FloatSqueezeOpModel : public BaseSqueezeOpModel { + public: + using BaseSqueezeOpModel::BaseSqueezeOpModel; + + void SetInput(std::initializer_list<float> data) { + PopulateTensor(input_, data); + } + + std::vector<float> GetOutput() { return ExtractVector<float>(output_); } + std::vector<int> GetOutputShape() { return GetTensorShape(output_); } +}; + +TEST(FloatSqueezeOpTest, SqueezeAll) { + std::initializer_list<float> data = { + 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, + 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0}; + FloatSqueezeOpModel m({TensorType_FLOAT32, {1, 24, 1}}, + {TensorType_FLOAT32, {24}}, {}); + m.SetInput(data); + m.Invoke(); + EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({24})); + EXPECT_THAT( + m.GetOutput(), + ElementsAreArray({1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, + 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, + 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0})); +} + +TEST(FloatSqueezeOpTest, SqueezeSelectedAxis) { + std::initializer_list<float> data = { + 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, + 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0}; + FloatSqueezeOpModel m({TensorType_FLOAT32, {1, 24, 1}}, + {TensorType_FLOAT32, {24}}, {2}); + m.SetInput(data); + m.Invoke(); + EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({1, 24})); + EXPECT_THAT( + m.GetOutput(), + ElementsAreArray({1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, + 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, + 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0})); +} + +TEST(FloatSqueezeOpTest, SqueezeNegativeAxis) { + std::initializer_list<float> data = { + 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, + 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0}; + FloatSqueezeOpModel m({TensorType_FLOAT32, {1, 24, 1}}, + {TensorType_FLOAT32, {24}}, {-1, 0}); + m.SetInput(data); + m.Invoke(); + EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({24})); + EXPECT_THAT( + m.GetOutput(), + ElementsAreArray({1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, + 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, + 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0})); +} + +} // namespace +} // namespace tflite + +int main(int argc, char** argv) { + ::tflite::LogToStderr(); + ::testing::InitGoogleTest(&argc, argv); + return RUN_ALL_TESTS(); +} |