setup neurons library and some script to test this lib

This commit is contained in:
2024-04-16 21:14:30 +02:00
parent 4d80d44f70
commit 2ef9a6b7c4
10 changed files with 397 additions and 4 deletions
@@ -0,0 +1,28 @@
#ifndef __CL_TENSOR_T__H__
#define __CL_TENSOR_T__H__
#include <stdio.h>
#include <stdlib.h>
#define CL_TARGET_OPENCL_VERSION 300
#ifdef __APPLE__
#include <OpenCL/opencl.h>
#else
#include <CL/cl.h>
#endif
#include "tensor_t/tensor_t.h"
#define CL_GENERATE_TENSOR_TYPE(type) \
void cl_tensorProd_##type(tensor_##type **MM, tensor_##type *M0, tensor_##type *M1); \
void cl_tensorContractnProd_##type(tensor_##type **MM, tensor_##type *M0, tensor_##type *M1, size_t contractionNumber); \
void cl2d_tensorProd_##type(tensor_##type **MM, tensor_##type *M0, tensor_##type *M1, size_t div0Wsz, size_t div1Wsz); \
void cl2d_tensorContractnProd_##type(tensor_##type **MM, tensor_##type *M0, tensor_##type *M1, size_t contractionNumber, size_t div0Wsz, size_t div1Wsz); \
CL_GENERATE_TENSOR_TYPE(TYPE_FLOAT);
CL_GENERATE_TENSOR_TYPE(TYPE_DOUBLE);
#endif /* __CL_TENSOR_T__H__ */
@@ -0,0 +1,85 @@
#ifndef __TENSOR_T__H__
#define __TENSOR_T__H__
#include <stdlib.h>
#include <time.h>
#include <pthread.h>
#include "dimension_t/dimension_t.h"
void subArray(size_t* dst, size_t* src, size_t debDst, size_t finDst, size_t debSrc);
#define GENERATE_TENSOR_TYPE(type) \
struct tensor_##type{\
dimension *dim;\
type *x;\
};\
typedef struct tensor_##type tensor_##type;\
tensor_##type * CREATE_TENSOR_##type(dimension *dim); \
tensor_##type* CREATE_TENSOR_FROM_CPY_DIM_##type(dimension *dim);\
void _RECREATE_TENSOR_IF_NOT_THE_SAME_DIM_OR_NULL_##type(tensor_##type **M, dimension *dd);\
tensor_##type* CLONE_TENSOR_##type(tensor_##type *tens);\
void free_tensor_##type(tensor_##type * tens); \
tensor_##type * sub_minus_tensor_head_##type(tensor_##type *rootens, size_t minuSubdim, size_t rankInDim); \
tensor_##type * sub_minus_tensor_tail_##type(tensor_##type *rootens, size_t minuSubdim, size_t rankInDim); \
tensor_##type * sub_tensor_head_##type(tensor_##type *rootens, size_t subdim, size_t rankInDim); \
tensor_##type * sub_tensor_tail_##type(tensor_##type *rootens, size_t subdim, size_t rankInDim); \
tensor_##type * sub_copy_minus_tensor_head_##type(tensor_##type *rootens, size_t minuSubdim, size_t rankInDim); \
tensor_##type * sub_copy_minus_tensor_tail_##type(tensor_##type *rootens, size_t minuSubdim, size_t rankInDim); \
tensor_##type * sub_copy_tensor_head_##type(tensor_##type *rootens, size_t sub_copydim, size_t rankInDim); \
tensor_##type * sub_copy_tensor_tail_##type(tensor_##type *rootens, size_t sub_copydim, size_t rankInDim); \
void print_tensor_msg_##type(tensor_##type *T, char *msg);\
void fprint_tensor_##type(char *file_name, tensor_##type *T);\
size_t sprint_tensor_##type(char **tensorContent,tensor_##type *T, bool withIndex);\
void split_tensor_##type(tensor_##type *Troot, tensor_##type **Tpart1, tensor_##type **Tpart2, size_t pivotSplit, size_t rangeInPivot);\
void split_copy_tensor_##type(tensor_##type *Troot, tensor_##type **Tpart1, tensor_##type **Tpart2, size_t pivotSplit, size_t rangeInPivot);\
void tensorProdNotOpt_##type(tensor_##type **MM, tensor_##type *M0, tensor_##type *M1); \
void tensorProd_##type(tensor_##type **MM, tensor_##type *M0, tensor_##type *M1); \
void tensorContractnProd_##type(tensor_##type **MM, tensor_##type *M0, tensor_##type *M1, size_t contractionNumber); \
void tensorProdThread_##type(tensor_##type **MM, tensor_##type *M0, tensor_##type *M1,size_t nbthread); \
void tensorProdThrea2d_##type(tensor_##type **MM, tensor_##type *M0, tensor_##type *M1,size_t nbthread); \
void tensorContractnProdThread_##type(tensor_##type **MM, tensor_##type *M0, tensor_##type *M1, size_t contractionNumber, size_t nbthread); \
void tensorContractnPro2dThread_##type(tensor_##type **MM, tensor_##type *M0, tensor_##type *M1, size_t contractionNumber, size_t nbthread); \
void tensorContractnProdNotOpt_##type(tensor_##type **MM, tensor_##type *M0, tensor_##type *M1, size_t contractionNumber); \
void init_random_x_##type(tensor_##type *M, type minR, type maxR, int randomRange);\
tensor_##type * parseInput_withDim_to_tensor_##type(char *input);\
void parseInputOutput_withDim_to_tensors_##type(tensor_##type **Tpart1, tensor_##type **Tpart2, char *input, size_t pivotSplit);\
void parse_file_InputOutput_withDim_to_tensors_##type(tensor_##type **Tpart1, tensor_##type **Tpart2, char *file_name_input, size_t pivotSplit);\
tensor_##type ** fromInput_to_array_tensor_##type(tensor_##type *tens);\
struct array_chainlist_##type{\
size_t index;\
type x;\
struct array_chainlist_##type *next;\
};\
typedef struct array_chainlist_##type array_chainlist_##type;\
void append_array_chainlist_##type(array_chainlist_##type **list_a, type x);\
tensor_##type * create_tensor_from_list_array_##type( array_chainlist_##type *l_a, dimension *part_dim);\
void free_array_chainlist_##type(array_chainlist_##type *l_a);\
tensor_##type * transpose_notOpt_tensor_##type(tensor_##type *org);\
tensor_##type * permute_notOpt_tensor_##type(tensor_##type *org, dimension *dperm);\
void update_1tensor_func_##type(tensor_##type *M0, \
type (*func)(type), size_t nbthread);\
void update_2tensor_func_##type(tensor_##type *M0, tensor_##type *M1, \
type (*func)(type), size_t nbthread);\
void update_3tensor_func_##type(tensor_##type *M0, tensor_##type *M1, tensor_##type *M2, \
type (*func)(type, type), size_t nbthread);\
void update_4tensor_func_##type(tensor_##type *M0, tensor_##type *M1, tensor_##type *M2, \
type (*func)(type, type, type(*f1)(type)),\
type(*f1)(type),\
size_t nbthread);\
void update_5tensor_func_##type(tensor_##type *M0, tensor_##type *M1, tensor_##type *M2, tensor_##type *M3 , \
type (*func) (type, type, type, type(*f1)(type), type (*f2)(type,type)), \
type(*f1)(type), \
type (*f2)(type,type), \
size_t nbthread);\
void update_6tensor_func_##type(tensor_##type *M0, tensor_##type *M1, \
type (*func)(type, type, type),\
type scalar,\
size_t nbthread);\
GENERATE_TENSOR_TYPE(TYPE_FLOAT);
GENERATE_TENSOR_TYPE(TYPE_DOUBLE);
#endif /* __TENSOR_T__H__ */