73 lines
2.5 KiB
C++
73 lines
2.5 KiB
C++
/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#include "tensorflow/lite/tools/optimize/model_utils.h"
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#include <memory>
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#include <gmock/gmock.h>
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#include <gtest/gtest.h>
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#include "tensorflow/core/lib/io/path.h"
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#include "tensorflow/core/platform/init_main.h"
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#include "tensorflow/core/util/command_line_flags.h"
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#include "tensorflow/lite/model.h"
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#include "tensorflow/lite/schema/schema_generated.h"
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#include "tensorflow/lite/tools/optimize/test_util.h"
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namespace tflite {
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namespace optimize {
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namespace utils {
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namespace {
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TEST(ModelUtilsTest, QuantizationParametersExist) {
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TensorT tensor;
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tensor.quantization = absl::make_unique<QuantizationParametersT>();
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tensor.quantization->scale.push_back(0.5);
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tensor.quantization->scale.push_back(1.5);
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EXPECT_FALSE(QuantizationParametersExist(&tensor));
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tensor.quantization->zero_point.push_back(1);
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tensor.quantization->zero_point.push_back(-1);
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EXPECT_TRUE(QuantizationParametersExist(&tensor));
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}
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TEST(ModelUtilsTest, HasBuffer) {
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tflite::ModelT model;
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auto subgraph = absl::make_unique<tflite::SubGraphT>();
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auto tensor = absl::make_unique<tflite::TensorT>();
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tensor->buffer = 0;
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subgraph->tensors.push_back(std::move(tensor));
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model.subgraphs.push_back(std::move(subgraph));
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auto buffer = absl::make_unique<tflite::BufferT>();
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model.buffers.push_back(std::move(buffer));
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EXPECT_FALSE(HasBuffer(&model, model.subgraphs[0].get(), 0));
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model.buffers[0]->data = {0, 1, 2, 3};
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EXPECT_TRUE(HasBuffer(&model, model.subgraphs[0].get(), 0));
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}
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TEST(ModelUtilsTest, HasMinMax) {
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TensorT tensor;
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tensor.quantization = absl::make_unique<QuantizationParametersT>();
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tensor.quantization->min.push_back(0.5);
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EXPECT_FALSE(HasMinMax(&tensor));
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tensor.quantization->max.push_back(1.5);
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EXPECT_TRUE(HasMinMax(&tensor));
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}
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} // namespace
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} // namespace utils
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} // namespace optimize
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} // namespace tflite
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int main(int argc, char** argv) { return RUN_ALL_TESTS(); }
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