298ec44da3
This test runs an automated diff comparison of TF vs TFLite for a given source model. It can also be used to run comparisons on-device with delegates. Also fix the tf_driver/tflite_diff tool to allow execution on mobile devices. PiperOrigin-RevId: 284293992 Change-Id: Ia64927b4d76a195924e5dc2f16b7f4aa53481c0e
57 lines
1.7 KiB
C++
57 lines
1.7 KiB
C++
/* Copyright 2017 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/testing/generate_testspec.h"
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#include <random>
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#include <gmock/gmock.h>
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#include <gtest/gtest.h>
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namespace tflite {
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namespace testing {
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namespace {
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TEST(GenerateRandomTensor, FloatValue) {
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std::mt19937 random_engine;
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auto random_func = [&]() {
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return std::uniform_real_distribution<float>(-0.5, 0.5)(random_engine);
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};
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std::set<float> values;
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float sum_x_square = 0.0f;
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float sum_x = 0.0f;
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for (int i = 0; i < 100; i++) {
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const auto& data = GenerateRandomTensor<float>({1, 3, 4}, random_func);
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for (float value : data) {
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values.insert(value);
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sum_x_square += value * value;
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sum_x += value;
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}
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}
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// Eech round, generated tensor has different values.
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EXPECT_GT(values.size(), 200);
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int num = 1 * 3 * 4 * 100;
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float stddev = sum_x_square / num - (sum_x / num) * (sum_x / num);
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// Stddev is greater than 1/2 stddev of uniform distribution: (B-A)^2 / 12
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float minstddev = 1.0f / 12 / 2;
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EXPECT_GT(stddev, minstddev);
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}
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} // namespace
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} // namespace testing
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} // namespace tflite
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