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This commit is contained in:
张壹 2025-02-09 21:26:19 +08:00
parent f5c0ce3b36
commit e9583c84a0
8 changed files with 13 additions and 10 deletions
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3
CMakeLists.txt
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@ -4,6 +4,9 @@ project(GCTL_AI VERSION 1.0)
# 添加配置配件编写的函数
include(CMakePackageConfigHelpers)
set(CMAKE_CXX_STANDARD 17)
set(CMAKE_CXX_STANDARD_REQUIRED ON)
# 添加编译选项
option(GCTL_AI_OPENMP "Use the OpenMP library" OFF)

2
installer
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@ -19,7 +19,7 @@ if [[ $# == 0 || ${1} == "help" ]]; then
exit 0
fi
package=gctl_potential
package=gctl_ai
address=/opt/stow
taress=/usr/local
option="-DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=${address}/${package}"

2
lib/CMakeLists.txt
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@ -1,6 +1,6 @@
# 设置编译选项
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -O3")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} --std=c++11 -O3")
set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} -O3")
# 设置库文件的输出地址
set(LIBRARY_OUTPUT_PATH ${PROJECT_BINARY_DIR}/lib)
# 设定库源文件文件夹

2
lib/dnn/activation.h
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@ -30,7 +30,7 @@
#include "gctl/core.h"
#include "gctl/io.h"
#include "gctl/algorithm.h"
#include "gctl/algorithms.h"
#include "config.h"
#ifdef GCTL_AI_OPENMP

6
lib/dnn/dnn.cpp
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@ -391,9 +391,9 @@ void gctl::dnn::init_network(double mu, double sigma, unsigned int seed)
weights_.resize(wd_size_);
ders_.resize(wd_size_);
gctl::random(weights_, mu, sigma, RdNormal, seed);
gctl::random(ders_, mu, sigma, RdNormal, seed);
weights_.random_float(mu, sigma, RdNormal, seed);
ders_.random_float(mu, sigma, RdNormal, seed);
status_ = Initialized;
return;

4
lib/dnn/hlayer.cpp
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@ -82,7 +82,7 @@ std::string gctl::dnn_hlayer::get_activation_name() const
void gctl::dnn_hlayer::cal_valid_padding_idx(array<int> &idx, int i, int j, int i_rows, int i_cols, int p_rows, int p_cols, int s_rows, int s_cols)
{
idx.resize(p_rows*p_cols);
idx.assign_all(-1);
idx.assign(-1);
int row_st = i*s_rows;
int col_st = j*s_cols;
@ -100,7 +100,7 @@ void gctl::dnn_hlayer::cal_valid_padding_idx(array<int> &idx, int i, int j, int
void gctl::dnn_hlayer::cal_same_padding_idx(array<int> &idx, int i, int j, int i_rows, int i_cols, int p_rows, int p_cols, int s_rows, int s_cols, int u_pad, int l_pad)
{
idx.resize(p_rows*p_cols);
idx.assign_all(-1);
idx.assign(-1);
int row_st = i*s_rows - u_pad;
int col_st = j*s_cols - l_pad;

2
lib/dnn/hlayer_convolution.cpp
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@ -131,7 +131,7 @@ void gctl::convolution::backward_propagation(const array<double> &all_weights, c
der_in_.assign_all(0.0);
all_ders_count_.resize(chls_*f_rows_*f_cols_);
all_ders_count_.assign_all(0);
all_ders_count_.assign(0);
der_in_count_.resize(w_is_, o_is_*chls_);
der_in_count_.assign_all(0);

2
lib/dnn/olayer.h
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@ -29,7 +29,7 @@
#define _GCTL_DNN_OLAYER_H
#include "gctl/core.h"
#include "gctl/algorithm.h"
#include "gctl/algorithms.h"
namespace gctl
{