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author | Alan Chiao <alanchiao@google.com> | 2018-09-04 20:22:55 -0700 |
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committer | TensorFlower Gardener <gardener@tensorflow.org> | 2018-09-04 20:26:56 -0700 |
commit | e9332539bea372f6dbe6ef185f9d8b1f3b6e1fe2 (patch) | |
tree | c7d5490402934bc34b6ad76a89ac14233e91a848 /tensorflow/contrib/lite/kernels/relu1_test.cc | |
parent | ecb6bc19e0cdbd2f2e98de909b4f3b8ca9fd7ab1 (diff) |
Relu1 custom op.
This is implemented as custom op instead of builtin op because Relu1 is not
supported in Tensorflow and not commonly used.
PiperOrigin-RevId: 211571619
Diffstat (limited to 'tensorflow/contrib/lite/kernels/relu1_test.cc')
-rw-r--r-- | tensorflow/contrib/lite/kernels/relu1_test.cc | 79 |
1 files changed, 79 insertions, 0 deletions
diff --git a/tensorflow/contrib/lite/kernels/relu1_test.cc b/tensorflow/contrib/lite/kernels/relu1_test.cc new file mode 100644 index 0000000000..c1e0149c20 --- /dev/null +++ b/tensorflow/contrib/lite/kernels/relu1_test.cc @@ -0,0 +1,79 @@ +/* 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 "flatbuffers/flexbuffers.h" // flatbuffers +#include "tensorflow/contrib/lite/kernels/register.h" +#include "tensorflow/contrib/lite/kernels/test_util.h" + +namespace tflite { +namespace ops { +namespace custom { + +TfLiteRegistration* Register_RELU_1(); + +namespace { + +using ::testing::ElementsAreArray; + +class BaseActivationsOpModel : public SingleOpModel { + public: + explicit BaseActivationsOpModel(const TensorData& input) { + input_ = AddInput(input); + output_ = AddOutput({input.type, {}}); + flexbuffers::Builder fbb; + fbb.Map([&]() {}); + fbb.Finish(); + SetCustomOp("RELU_1", fbb.GetBuffer(), Register_RELU_1); + BuildInterpreter({GetShape(input_)}); + } + + protected: + int input_; + int output_; +}; + +class FloatActivationsOpModel : public BaseActivationsOpModel { + public: + using BaseActivationsOpModel::BaseActivationsOpModel; + + void SetInput(std::initializer_list<float> data) { + PopulateTensor(input_, data); + } + std::vector<float> GetOutput() { return ExtractVector<float>(output_); } +}; + +TEST(FloatActivationsOpTest, Relu1) { + FloatActivationsOpModel m(/*input=*/{TensorType_FLOAT32, {1, 2, 4, 1}}); + m.SetInput({ + 0.0, -0.6, 0.2, -0.4, // + 0.3, -2.0, 1.1, -0.1, // + }); + m.Invoke(); + EXPECT_THAT(m.GetOutput(), ElementsAreArray({ + 0.0, 0.0, 0.2, 0.0, // + 0.3, 0.0, 1.0, 0.0, // + })); +} + +} // namespace +} // namespace custom +} // namespace ops +} // namespace tflite + +int main(int argc, char** argv) { + ::tflite::LogToStderr(); + ::testing::InitGoogleTest(&argc, argv); + return RUN_ALL_TESTS(); +} |