// // Copyright (c) 2020 Horizon Robotics.All Rights Reserved.
// //
// // The material in this file is confidential and contains trade secrets
// // of Horizon Robotics Inc. This is proprietary information owned by
// // Horizon Robotics Inc. No part of this work may be disclosed,
// // reproduced, copied, transmitted, or used in any way for any purpose,
// // without the express written permission of Horizon Robotics Inc.
#include "gtest/gtest.h"
#include "layer/eltwise.h"
#include "test_op.h"
#include <chrono>
#include <random>
using hobot::dnn::NDArray;
using hobot::dnn::TypeFlag;
TEST(round, eltwise_round_case1) {
std::cout<<"(1,3,240,360)--4d input float32"<<std::endl;
hobot::dnn::Eltwise Ele;
hobot::dnn::VarientMap in;
in["eltwise_type"] = 18;
in["num_args"] = 1;
Ele.Init(in);
std::vector<NDArray *> bottom_blobs;
std::vector<NDArray *> top_blobs;
// float arr1[] = {1, 2, 3, 4, 5, 6};
// float result[] = {1.54308, 3.7622, 10.0677, 27.3082, 74.21, 201.7156};
int nums=3*240*360;
std::vector<float> input(3*240*360);
// std::vector<float> result(3*240*360);
float min=-10;
float max=10;
for (size_t i = 0; i < input.size(); ++i) {
input[i] = min + static_cast<float>(std::rand()) / (static_cast<float>(RAND_MAX / (max - min)));
}
hobot::dnn::TShape shape{1, 3, 240, 360};
std::unique_ptr<NDArray> array1(new NDArray(input.data(), shape, TypeFlag::kFloat32));
std::unique_ptr<NDArray> array(new NDArray(shape, TypeFlag::kFloat32));
bottom_blobs.push_back(array1.get());
top_blobs.push_back(array.get());
clock_t time1=clock();
auto ret = Ele.Forward(bottom_blobs, top_blobs);
clock_t time2=clock();
std::cout<<"cost time: "<<(double)(time2-time1)/CLOCKS_PER_SEC*1000<<"ms"<<std::endl;
#ifdef DNN_X86
std::string output_path = "./Output/eltwise_round_case1.txt";
std::ofstream output_file(output_path);
ASSERT_TRUE(output_file.is_open()) << "Failed to open file " << output_path << " for writing.";
for (size_t i = 0; i < array->Size(); ++i) {
output_file << std::to_string(array->Dptr<float>()[i]) << "\n";
}
output_file.close();
std::cout << "Data saved to " << output_path << std::endl;
#else
std::string input_path = "./Output/eltwise_round_case1.txt";
std::ifstream input_file(input_path);
ASSERT_TRUE(input_file.is_open()) << "Failed to open file " << input_path << " for reading.";
std::vector<float> saved_data;
std::string value;
while (input_file >> value) {
saved_data.push_back(std::stof(value));
}
input_file.close();
std::vector<float> current_data(array->Dptr<float>(), array->Dptr<float>() + array->Size());
for (size_t i = 0; i < current_data.size(); ++i) {
ASSERT_NEAR(saved_data[i], current_data[i], 0.0001) << "Difference at index " << i << ": saved_data = " << saved_data[i]
<< ", current_data = " << current_data[i];
}
#endif
}
TEST(round, eltwise_round_case2) {
// int main(){
std::cout<<"(1,3,240,360)--4d input float64"<<std::endl;
hobot::dnn::Eltwise Ele;
hobot::dnn::VarientMap in;
in["eltwise_type"] = 18;
in["num_args"] = 1;
Ele.Init(in);
std::vector<NDArray *> bottom_blobs;
std::vector<NDArray *> top_blobs;
// float arr1[] = {1, 2, 3, 4, 5, 6};
// float result[] = {1.54308, 3.7622, 10.0677, 27.3082, 74.21, 201.7156};
int nums=3*240*360;
std::vector<double> input(3*240*360);
std::vector<double> result(3*240*360);
float min=-10;
float max=10;
for (size_t i = 0; i < input.size(); ++i) {
input[i] = min + static_cast<float>(std::rand()) / (static_cast<float>(RAND_MAX / (max - min)));
}
hobot::dnn::TShape shape{1, 3, 240, 360};
std::unique_ptr<NDArray> array1(new NDArray(input.data(), shape, TypeFlag::kFloat64));
std::unique_ptr<NDArray> array(new NDArray(shape, TypeFlag::kFloat64));
bottom_blobs.push_back(array1.get());
top_blobs.push_back(array.get());
clock_t time1=clock();
auto ret = Ele.Forward(bottom_blobs, top_blobs);
clock_t time2=clock();
std::cout<<"cost time: "<<(double)(time2-time1)/CLOCKS_PER_SEC*1000<<"ms"<<std::endl;
#ifdef DNN_X86
std::string output_path = "./Output/eltwise_round_case2.txt";
std::ofstream output_file(output_path);
ASSERT_TRUE(output_file.is_open()) << "Failed to open file " << output_path << " for writing.";
for (size_t i = 0; i < array->Size(); ++i) {
output_file << std::to_string(array->Dptr<double>()[i]) << "\n";
}
output_file.close();
std::cout << "Data saved to " << output_path << std::endl;
#else
std::string input_path = "./Output/eltwise_round_case2.txt";
std::ifstream input_file(input_path);
ASSERT_TRUE(input_file.is_open()) << "Failed to open file " << input_path << " for reading.";
std::vector<float> saved_data;
std::string value;
while (input_file >> value) {
saved_data.push_back(std::stof(value));
}
input_file.close();
std::vector<double> current_data(array->Dptr<double>(), array->Dptr<double>() + array->Size());
for (size_t i = 0; i < current_data.size(); ++i) {
ASSERT_NEAR(saved_data[i], current_data[i], 0.0001) << "Difference at index " << i << ": saved_data = " << saved_data[i]
<< ", current_data = " << current_data[i];
}
#endif
}
TEST(tan, eltwise_tan_case1) {
std::cout<<"(1,3,240,360)--4d input float32"<<std::endl;
hobot::dnn::Eltwise Ele;
hobot::dnn::VarientMap in;
in["eltwise_type"] = 7;
in["num_args"] = 1;
Ele.Init(in);
std::vector<NDArray *> bottom_blobs;
std::vector<NDArray *> top_blobs;
// float arr1[] = {1, 2, 3, 4, 5, 6};
// float result[] = {1.54308, 3.7622, 10.0677, 27.3082, 74.21, 201.7156};
int nums=3*240*360;
std::vector<float> input(3*240*360);
std::vector<float> result(3*240*360);
float min=-1.5;
float max=1.5;
for (size_t i = 0; i < input.size(); ++i) {
input[i] = min + static_cast<float>(std::rand()) / (static_cast<float>(RAND_MAX / (max - min)));
}
hobot::dnn::TShape shape{1, 3, 240, 360};
std::unique_ptr<NDArray> array1(new NDArray(input.data(), shape, TypeFlag::kFloat32));
std::unique_ptr<NDArray> array(new NDArray(shape, TypeFlag::kFloat32));
bottom_blobs.push_back(array1.get());
top_blobs.push_back(array.get());
clock_t time1=clock();
auto ret = Ele.Forward(bottom_blobs, top_blobs);
clock_t time2=clock();
std::cout<<"cost time: "<<(double)(time2-time1)/CLOCKS_PER_SEC*1000<<"ms"<<std::endl;
#ifdef DNN_X86
std::string output_path = "./Output/eltwise_tan_case1.txt";
std::ofstream output_file(output_path);
ASSERT_TRUE(output_file.is_open()) << "Failed to open file " << output_path << " for writing.";
for (size_t i = 0; i < array->Size(); ++i) {
output_file << std::to_string(array->Dptr<float>()[i]) << "\n";
}
output_file.close();
std::cout << "Data saved to " << output_path << std::endl;
#else
std::string input_path = "./Output/eltwise_tan_case1.txt";
std::ifstream input_file(input_path);
ASSERT_TRUE(input_file.is_open()) << "Failed to open file " << input_path << " for reading.";
std::vector<float> saved_data;
std::string value;
while (input_file >> value) {
saved_data.push_back(std::stof(value));
}
input_file.close();
std::vector<float> current_data(array->Dptr<float>(), array->Dptr<float>() + array->Size());
for (size_t i = 0; i < current_data.size(); ++i) {
ASSERT_NEAR(saved_data[i], current_data[i], 0.0001) << "Difference at index " << i << ": saved_data = " << saved_data[i]
<< ", current_data = " << current_data[i];
}
#endif
}
TEST(tan, eltwise_tan_case2) {
std::cout<<"(1,3,240,360)--4d input float64"<<std::endl;
hobot::dnn::Eltwise Ele;
hobot::dnn::VarientMap in;
in["eltwise_type"] = 7;
in["num_args"] = 1;
Ele
TEST.zip （71个子文件） 
TEST test_op 
test_sigmoid.cpp 3KB test_softplus.cpp 3KB test_softmax.cpp 10KB test_thresholdedrelu.cpp 5KB test_upsample.cpp 15KB test_neg.cpp 14KB test_ceil.cpp 5KB test_sign.cpp 3KB test_hardsigmoid.cpp 3KB test_dequantize_linear.cpp 45KB test_exp.cpp 3KB test_elementwise_binary_broadcast.cpp 4KB test_eyelike.cpp 16KB test_reducel1.cpp 22KB test_relu.cpp 3KB test_reduction.cpp 44KB test_tanh_time.cpp 3KB test_batch_normalization.cpp 5KB test_concat.cpp 7KB test_normalize.cpp 3KB test_identity.cpp 3KB test_leakyrelu.cpp 5KB test_averagepool.cpp 74KB test_hz_channel_shuffle.cpp 5KB test_reducel2.cpp 10KB test_op.h 793B test_scaledtanh_time.cpp 3KB test_lp_normalization.cpp 13KB test_erf.cpp 5KB test_hardswish.cpp 3KB test_cast.cpp 13KB test_relux.cpp 3KB test_log_softmax.cpp 3KB test_nms_time.cpp 4KB main.cpp 599B test_elu.cpp 3KB test_floor.cpp 3KB test_selu.cpp 3KB test_maxpool.cpp 48KB test_prelu.cpp 11KB test_dequantize.cpp 83KB test_roipooling.cpp 3KB test_lrn.cpp 3KB test_global_lp_pool.cpp 11KB test_crelu.cpp 5KB test_log.cpp 2KB test_expand.cpp 3KB test_hz_rsqrt.cpp 7KB test_axpy.cpp 4KB test_quantize.cpp 45KB test_quantize_linear.cpp 49KB test_clip.cpp 31KB test_power.cpp.bk 3KB test_roi_pooling.cpp 6KB test_hz_softmax.cpp 9KB test_reshape.cpp 3KB test_softsign.cpp 3KB test_global_average_pool.cpp 3KB test_mvn.cpp 3KB test_reducelogsumexp.cpp 16KB test_transpose.cpp 6KB test_instance_normalization.cpp 4KB test_eltwise_time.cpp 85KB test_abs.cpp 3KB 908 test_upsample.cpp 15KB test_global_max_pool.cpp 3KB test_op.h 793B main.cpp 599B test_argmax.cpp 10KB test_argmin.cpp 10KB test_eltwise_time.cpp 85KB资源评论
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