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author | 2018-03-14 15:58:15 -0700 | |
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committer | 2018-03-14 16:02:28 -0700 | |
commit | 33792456dbe0600b5c23f8cbffea0e74a69386c1 (patch) | |
tree | 6439505c56a91e9aada7e6e8c3650742c88ccd43 /tensorflow/contrib/lite/kernels/audio_spectrogram_test.cc | |
parent | 124a1835637fb71d84087430f79fe166b394f791 (diff) |
Automated g4 rollback of changelist 188525171
PiperOrigin-RevId: 189100846
Diffstat (limited to 'tensorflow/contrib/lite/kernels/audio_spectrogram_test.cc')
-rw-r--r-- | tensorflow/contrib/lite/kernels/audio_spectrogram_test.cc | 122 |
1 files changed, 122 insertions, 0 deletions
diff --git a/tensorflow/contrib/lite/kernels/audio_spectrogram_test.cc b/tensorflow/contrib/lite/kernels/audio_spectrogram_test.cc new file mode 100644 index 0000000000..8d460fdfc6 --- /dev/null +++ b/tensorflow/contrib/lite/kernels/audio_spectrogram_test.cc @@ -0,0 +1,122 @@ +/* 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 <functional> +#include <memory> +#include <vector> + +#include <gtest/gtest.h> +#include "flatbuffers/flexbuffers.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 ops { +namespace custom { + +TfLiteRegistration* Register_AUDIO_SPECTROGRAM(); + +namespace { + +using ::testing::ElementsAre; +using ::testing::ElementsAreArray; + +class BaseAudioSpectrogramOpModel : public SingleOpModel { + public: + BaseAudioSpectrogramOpModel(const TensorData& input1, + const TensorData& output, int window_size, + int stride, bool magnitude_squared) { + input1_ = AddInput(input1); + output_ = AddOutput(output); + + flexbuffers::Builder fbb; + fbb.Map([&]() { + fbb.Int("window_size", window_size); + fbb.Int("stride", stride); + fbb.Bool("magnitude_squared", magnitude_squared); + }); + fbb.Finish(); + SetCustomOp("AudioSpectrogram", fbb.GetBuffer(), + Register_AUDIO_SPECTROGRAM); + BuildInterpreter({GetShape(input1_)}); + } + + int input1() { return input1_; } + std::vector<float> GetOutput() { return ExtractVector<float>(output_); } + std::vector<int> GetOutputShape() { return GetTensorShape(output_); } + + protected: + int input1_; + int output_; +}; + +TEST(BaseAudioSpectrogramOpModel, NonSquaredTest) { + BaseAudioSpectrogramOpModel m({TensorType_FLOAT32, {8, 1}}, + {TensorType_FLOAT32, {}}, 8, 1, false); + m.PopulateTensor<float>(m.input1(), + {-1.0f, 0.0f, 1.0f, 0.0f, -1.0f, 0.0f, 1.0f, 0.0f}); + + m.Invoke(); + + std::vector<int> output_shape = m.GetOutputShape(); + EXPECT_EQ(3, output_shape.size()); + EXPECT_THAT(output_shape, ElementsAre(1, 1, 5)); + + EXPECT_THAT(m.GetOutput(), ElementsAreArray(ArrayFloatNear( + {0.0f, 1.0f, 2.0f, 1.0f, 0.0f}, 1e-3))); +} + +TEST(SpectrogramOpTest, SquaredTest) { + BaseAudioSpectrogramOpModel m({TensorType_FLOAT32, {8, 1}}, + {TensorType_FLOAT32, {}}, 8, 1, true); + m.PopulateTensor<float>(m.input1(), + {-1.0f, 0.0f, 1.0f, 0.0f, -1.0f, 0.0f, 1.0f, 0.0f}); + + m.Invoke(); + + std::vector<int> output_shape = m.GetOutputShape(); + EXPECT_EQ(3, output_shape.size()); + EXPECT_THAT(output_shape, ElementsAre(1, 1, 5)); + + EXPECT_THAT(m.GetOutput(), ElementsAreArray(ArrayFloatNear( + {0.f, 1.f, 4.f, 1.f, 0.f}, 1e-3))); +} + +TEST(SpectrogramOpTest, StrideTest) { + BaseAudioSpectrogramOpModel m({TensorType_FLOAT32, {10, 1}}, + {TensorType_FLOAT32, {}}, 8, 2, true); + m.PopulateTensor<float>(m.input1(), {-1.0f, 0.0f, 1.0f, 0.0f, -1.0f, 0.0f, + 1.0f, 0.0f, 1.0f, 0.0f}); + + m.Invoke(); + + std::vector<int> output_shape = m.GetOutputShape(); + EXPECT_THAT(output_shape, ElementsAre(1, 2, 5)); + EXPECT_THAT(m.GetOutput(), ElementsAreArray(ArrayFloatNear( + {0, 1, 4, 1, 0, 1, 2, 1, 2, 1}, 1e-3))); +} + +} // namespace +} // namespace custom +} // namespace ops +} // namespace tflite + +int main(int argc, char** argv) { + ::tflite::LogToStderr(); + ::testing::InitGoogleTest(&argc, argv); + return RUN_ALL_TESTS(); +} |