wehub-resource-sync
110 lines
3.2 KiB
C++
110 lines
3.2 KiB
C++
// Copyright 2025-present the zvec project
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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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#include <random>
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#include <ailego/container/bitmap.h>
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#include <ailego/internal/cpu_features.h>
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#include <ailego/math/normalizer.h>
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#include <gtest/gtest.h>
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#include <zvec/ailego/container/vector.h>
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#include <zvec/ailego/utility/time_helper.h>
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using namespace zvec::ailego;
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TEST(Normalizer, FP32_General) {
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std::mt19937 gen((std::random_device())());
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std::uniform_real_distribution<float> dist(0.0, 1.0);
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for (size_t i = 0; i < 100; ++i) {
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std::vector<float> vec1;
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std::vector<float> vec2;
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for (size_t j = 0; j < 111; ++j) {
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float val = dist(gen);
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vec1.push_back(val);
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vec2.push_back(val);
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}
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Normalizer<float>::Compute(vec1.data(), vec1.size(), 1.1f);
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for (size_t j = 0; j < vec1.size(); ++j) {
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EXPECT_FLOAT_EQ(vec1[j] * 1.1f, vec2[j]);
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}
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float l1 = 0.0f, l2 = 0.0f;
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Normalizer<float>::L1(vec1.data(), vec1.size(), &l1);
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Normalizer<float>::L2(vec2.data(), vec2.size(), &l2);
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}
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}
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TEST(Normalizer, FP16_General) {
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std::mt19937 gen((std::random_device())());
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std::uniform_real_distribution<float> dist(0.0, 1.0);
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for (size_t i = 0; i < 100; ++i) {
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std::vector<Float16> vec1;
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std::vector<Float16> vec2;
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for (size_t j = 0; j < 111; ++j) {
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float val = dist(gen);
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vec1.push_back(val);
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vec2.push_back(val);
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}
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Normalizer<Float16>::Compute(vec1.data(), vec1.size(), 1.0f);
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for (size_t j = 0; j < vec1.size(); ++j) {
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EXPECT_FLOAT_EQ(vec1[j], vec2[j]);
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}
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float l1 = 0.0f, l2 = 0.0f;
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Normalizer<Float16>::L1(vec1.data(), vec1.size(), &l1);
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Normalizer<Float16>::L2(vec2.data(), vec2.size(), &l2);
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}
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}
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TEST(Normalizer, FP32_Zero) {
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std::mt19937 gen((std::random_device())());
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std::uniform_int_distribution<uint32_t> dist(1, 128);
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const uint32_t dimension = dist(gen);
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std::vector<float> vec1(dimension, 0.0f);
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std::vector<float> vec2(dimension, 0.0f);
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float norm;
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Normalizer<float>::L1(vec1.data(), vec1.size(), &norm);
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Normalizer<float>::L2(vec2.data(), vec2.size(), &norm);
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for (auto v : vec1) {
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EXPECT_FALSE(std::isnan(v));
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}
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for (auto v : vec2) {
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EXPECT_FALSE(std::isnan(v));
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}
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}
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TEST(Normalizer, FP16_Zero) {
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std::mt19937 gen((std::random_device())());
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std::uniform_int_distribution<uint32_t> dist(1, 128);
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const uint32_t dimension = dist(gen);
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std::vector<Float16> vec1(dimension, 0.0f);
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std::vector<Float16> vec2(dimension, 0.0f);
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float norm;
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Normalizer<Float16>::L2(vec1.data(), vec1.size(), &norm);
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Normalizer<Float16>::L2(vec2.data(), vec2.size(), &norm);
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for (auto v : vec1) {
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EXPECT_FALSE(std::isnan(v));
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}
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for (auto v : vec2) {
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EXPECT_FALSE(std::isnan(v));
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}
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}
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