58 lines
1.9 KiB
C++
58 lines
1.9 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/kernels/test_util.h"
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#include <stdint.h>
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#include <vector>
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#include <gtest/gtest.h>
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#include "tensorflow/lite/testing/util.h"
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namespace tflite {
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namespace {
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using ::testing::ElementsAreArray;
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TEST(TestUtilTest, QuantizeVector) {
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std::vector<float> data = {-1.0, -0.5, 0.0, 0.5, 1.0, 1000.0};
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auto q_data = Quantize<uint8_t>(data, /*scale=*/1.0, /*zero_point=*/0);
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std::vector<uint8_t> expected = {0, 0, 0, 1, 1, 255};
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EXPECT_THAT(q_data, ElementsAreArray(expected));
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}
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TEST(TestUtilTest, QuantizeVectorScalingDown) {
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std::vector<float> data = {-1.0, -0.5, 0.0, 0.5, 1.0, 1000.0};
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auto q_data = Quantize<uint8_t>(data, /*scale=*/10.0, /*zero_point=*/0);
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std::vector<uint8_t> expected = {0, 0, 0, 0, 0, 100};
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EXPECT_THAT(q_data, ElementsAreArray(expected));
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}
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TEST(TestUtilTest, QuantizeVectorScalingUp) {
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std::vector<float> data = {-1.0, -0.5, 0.0, 0.5, 1.0, 1000.0};
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auto q_data = Quantize<uint8_t>(data, /*scale=*/0.1, /*zero_point=*/0);
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std::vector<uint8_t> expected = {0, 0, 0, 5, 10, 255};
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EXPECT_THAT(q_data, ElementsAreArray(expected));
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}
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} // namespace
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} // namespace tflite
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int main(int argc, char** argv) {
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::tflite::LogToStderr();
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::testing::InitGoogleTest(&argc, argv);
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return RUN_ALL_TESTS();
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}
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