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add functions calculate parallel updates neurons, and debug some leak functions

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fanasina
2024-02-28 09:57:21 +01:00
parent 2fc2fe477f
commit 924ff3a7dd
11 changed files with 707 additions and 127 deletions
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tensor_t/test/is_good.c
+64 -39
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@@ -544,8 +544,8 @@ TEST(tensorProd ){
print_tensor_float(M1,"M1");
tensor_TYPE_FLOAT *M;
tensor_TYPE_FLOAT *Mn;
tensor_TYPE_FLOAT *M=NULL;
tensor_TYPE_FLOAT *Mn=NULL;
tensorProd_TYPE_FLOAT(&M,M0,M1);
tensorProdNotOpt_TYPE_FLOAT(&Mn,M0,M1);
@@ -603,8 +603,8 @@ TEST(tensorContractnProd_TYPE_FLOAT ){
print_tensor_float(M0,"M0");
print_tensor_float(M1,"M1");
tensor_TYPE_FLOAT *M;
tensor_TYPE_FLOAT *MnO;
tensor_TYPE_FLOAT *M=NULL;
tensor_TYPE_FLOAT *MnO=NULL;
tensorContractnProd_TYPE_FLOAT(&M, M0,M1,2);
tensorContractnProdNotOpt_TYPE_FLOAT(&MnO, M0,M1,2);
@@ -664,8 +664,8 @@ TEST(tensorContractnProd_TYPE_FLOAT2 ){
// print_tensor_float(M0,"M0");
// print_tensor_float(M1,"M1");
tensor_TYPE_FLOAT *M;
tensor_TYPE_FLOAT *MnO;
tensor_TYPE_FLOAT *M=NULL;
tensor_TYPE_FLOAT *MnO=NULL;
tensorContractnProd_TYPE_FLOAT(&M, M0,M1,2);
// print_tensor_float(M,"M");
@@ -717,8 +717,8 @@ TEST(tensorContractnProd_TYPE_DOUBLE_2_1 ){
print_tensor_double(M0,"M0");
print_tensor_double(M1,"M1");
tensor_TYPE_DOUBLE *M;
tensor_TYPE_DOUBLE *MnO;
tensor_TYPE_DOUBLE *M=NULL;
tensor_TYPE_DOUBLE *MnO=NULL;
tensorContractnProd_TYPE_DOUBLE(&M, M0,M1,1);
//print_tensor_double(M,"M");
@@ -774,8 +774,8 @@ TEST(tensorContractnProd_TYPE_DOUBLE_2_2 ){
print_tensor_double(M0,"M0");
print_tensor_double(M1,"M1");
tensor_TYPE_DOUBLE *M;
tensor_TYPE_DOUBLE *MnO;
tensor_TYPE_DOUBLE *M=NULL;
tensor_TYPE_DOUBLE *MnO=NULL;
tensorContractnProd_TYPE_DOUBLE(&M, M0,M1,1);
//print_tensor_double(M,"M");
@@ -836,8 +836,8 @@ TEST(tensorContractnProd_TYPE_DOUBLE2 ){
//print_tensor_double(M0,"M0");
//print_tensor_double(M1,"M1");
tensor_TYPE_DOUBLE *M;
tensor_TYPE_DOUBLE *MnO;
tensor_TYPE_DOUBLE *M=NULL;
tensor_TYPE_DOUBLE *MnO=NULL;
tensorContractnProd_TYPE_DOUBLE(&M, M0,M1,2);
//print_tensor_double(M,"M");
@@ -897,8 +897,8 @@ TEST(VStensorContractnProd_TYPE_DOUBLE2 ){
//print_tensor_double(M0,"M0");
//print_tensor_double(M1,"M1");
tensor_TYPE_DOUBLE *M;
tensor_TYPE_DOUBLE *MnO;
tensor_TYPE_DOUBLE *M=NULL;
tensor_TYPE_DOUBLE *MnO=NULL;
tensorContractnProd_TYPE_DOUBLE(&M, M0,M1,2);
//print_tensor_double(M,"M");
@@ -959,8 +959,8 @@ TEST(Pthread_tensorContractnPro2d_TYPE_DOUBLE2 ){
//print_tensor_double(M0,"M0");
//print_tensor_double(M1,"M1");
tensor_TYPE_DOUBLE *M;
tensor_TYPE_DOUBLE *MnO;
tensor_TYPE_DOUBLE *M=NULL;
tensor_TYPE_DOUBLE *MnO=NULL;
size_t nbthread = 5;
@@ -1017,8 +1017,8 @@ TEST(contract_dim1){
print_tensor_double(M0,"M0");
print_tensor_double(M1,"M1");
tensor_TYPE_DOUBLE *M;
tensor_TYPE_DOUBLE *MnO;
tensor_TYPE_DOUBLE *M=NULL;
tensor_TYPE_DOUBLE *MnO=NULL;
size_t nbthread = 5;
@@ -1085,8 +1085,8 @@ TEST(Pthread_tensorContractnProd_TYPE_DOUBLE2 ){
//print_tensor_double(M0,"M0");
//print_tensor_double(M1,"M1");
tensor_TYPE_DOUBLE *M;
tensor_TYPE_DOUBLE *MnO;
tensor_TYPE_DOUBLE *M=NULL;
tensor_TYPE_DOUBLE *MnO=NULL;
size_t nbthread = 5;
@@ -1146,8 +1146,8 @@ TEST(tensorProd_vs ){
for(size_t i=0; i<M1->dim->rank;++i) M1->x[i]=i*0.003 + 2;
tensor_TYPE_FLOAT *M;
tensor_TYPE_FLOAT *Mn;
tensor_TYPE_FLOAT *M=NULL;
tensor_TYPE_FLOAT *Mn=NULL;
tensorProd_TYPE_FLOAT(&M,M0,M1);
//tensorProdNotOpt_TYPE_FLOAT(&Mn,M0,M1);
@@ -1201,8 +1201,8 @@ TEST(tensorProd_vsThread ){
tensor_TYPE_FLOAT *M;
tensor_TYPE_FLOAT *Mn;
tensor_TYPE_FLOAT *M=NULL;
tensor_TYPE_FLOAT *Mn=NULL;
size_t nbthread = 5;
@@ -1258,8 +1258,8 @@ TEST(tensorProd_vsThread2d ){
for(size_t i=0; i<M1->dim->rank;++i) M1->x[i]=i*0.003 + 2;
tensor_TYPE_FLOAT *M;
tensor_TYPE_FLOAT *Mn;
tensor_TYPE_FLOAT *M=NULL;
tensor_TYPE_FLOAT *Mn=NULL;
size_t nbthread = 5;
@@ -1379,7 +1379,7 @@ TEST(parseInputOutput_unknownpart_to_tensor){
"((0,0,0,1,2)"\
"(0,0,0,2,4)) ";
tensor_TYPE_FLOAT *t0,*t1;
tensor_TYPE_FLOAT *t0=NULL,*t1=NULL;
parseInputOutput_withDim_to_tensors_TYPE_FLOAT(&t0,&t1 , input, 1);
print_tensor_msg_TYPE_FLOAT(t0," t0 from input" );
@@ -1401,7 +1401,7 @@ TEST(parseInputOutput_knownpart_to_tensor){
"((0,0,0,1,2)"\
"(0,0,0,2,4)) ";
tensor_TYPE_FLOAT *t0,*t1;
tensor_TYPE_FLOAT *t0=NULL,*t1=NULL;
parseInputOutput_withDim_to_tensors_TYPE_FLOAT(&t0,&t1 , input, 1);
print_tensor_msg_TYPE_FLOAT(t0," t0 from input" );
@@ -1423,7 +1423,7 @@ TEST(parseInputOutput_unknownpart2dimInput_to_tensor){
"((0,0,0),(8,8,8),1,2)"\
"(0,0,0),(8,8,8),2,4)) ";
tensor_TYPE_FLOAT *t0,*t1;
tensor_TYPE_FLOAT *t0=NULL,*t1=NULL;
parseInputOutput_withDim_to_tensors_TYPE_FLOAT(&t0,&t1 , input, 1);
print_tensor_msg_TYPE_FLOAT(t0," t0 from input" );
@@ -1445,7 +1445,7 @@ TEST(parseInputOutput_knownpart2dimInput_to_tensor){
"((0,0,0),(8,8,8),1,2)"\
"(0,0,0),(8,8,8),2,4)) ";
tensor_TYPE_FLOAT *t0,*t1;
tensor_TYPE_FLOAT *t0=NULL,*t1=NULL;
parseInputOutput_withDim_to_tensors_TYPE_FLOAT(&t0,&t1 , input, 1);
print_tensor_msg_TYPE_FLOAT(t0," t0 from input" );
@@ -1468,7 +1468,7 @@ TEST(parseInputOutput_unknownpart1dimInput_2output_to_tensor){
"((0,0,0),(8,8,8)8,1,2)"\
"(0,0,0),(8,8,8)8,2,4)) ";
tensor_TYPE_FLOAT *t0,*t1;
tensor_TYPE_FLOAT *t0=NULL,*t1=NULL;
parseInputOutput_withDim_to_tensors_TYPE_FLOAT(&t0,&t1 , input, 2);
print_tensor_msg_TYPE_FLOAT(t0," t0 from input" );
@@ -1491,7 +1491,7 @@ TEST(parseInputOutput_knownpart1dimInput_2output_to_tensor){
"((0,0,0),(8,8,8)8,1,2)"\
"(0,0,0),(8,8,8)8,2,4)) ";
tensor_TYPE_FLOAT *t0,*t1;
tensor_TYPE_FLOAT *t0=NULL,*t1=NULL;
parseInputOutput_withDim_to_tensors_TYPE_FLOAT(&t0,&t1 , input, 2);
print_tensor_msg_TYPE_FLOAT(t0," t0 from input" );
@@ -1514,7 +1514,7 @@ TEST(parseInputOutput_unknownpart1dimInput_1output_to_tensor){
"((0,0,0),(8,8,8)8,1,2)"\
"(0,0,0),(8,8,8)8,2,4)) ";
tensor_TYPE_FLOAT *t0,*t1;
tensor_TYPE_FLOAT *t0=NULL,*t1=NULL;
parseInputOutput_withDim_to_tensors_TYPE_FLOAT(&t0,&t1 , input, 1);
print_tensor_msg_TYPE_FLOAT(t0," t0 from input" );
@@ -1537,7 +1537,7 @@ TEST(parseInputOutput_knownpart1dimInput_1output_to_tensor){
"((0,0,0),(8,8,8)8,1,5)"\
"(0,0,0),(8,8,8)8,2,4)) ";
tensor_TYPE_FLOAT *t0,*t1;
tensor_TYPE_FLOAT *t0=NULL,*t1=NULL;
parseInputOutput_withDim_to_tensors_TYPE_FLOAT(&t0,&t1 , input, 1);
print_tensor_msg_TYPE_FLOAT(t0," t0 from input" );
@@ -1553,7 +1553,7 @@ TEST(parseInputOutput_file_knownpart1dimInput_1output_to_tensor){
endian=true;
char *inputfile="input.txt";
tensor_TYPE_FLOAT *t0,*t1;
tensor_TYPE_FLOAT *t0=NULL,*t1=NULL;
parse_file_InputOutput_withDim_to_tensors_TYPE_FLOAT(&t0,&t1 , inputfile, 1);
print_tensor_msg_TYPE_FLOAT(t0," t0 from inputfile" );
@@ -1571,7 +1571,7 @@ TEST(parseInputOutput_file_knownpart1dimInput_1output_to_tensor){
endian=true;
char *inputfile="unkinput.txt";
tensor_TYPE_FLOAT *t0,*t1;
tensor_TYPE_FLOAT *t0=NULL,*t1=NULL;
parse_file_InputOutput_withDim_to_tensors_TYPE_FLOAT(&t0,&t1 , inputfile, 1);
print_tensor_msg_TYPE_FLOAT(t0," t0 from inputfile" );
@@ -1589,14 +1589,14 @@ TEST(array_from_parseInputOutput_file_knownpart1dimInput_1output_to_tensor){
endian=true;
char *inputfile="unkinput.txt";
tensor_TYPE_FLOAT *t0,*t1;
tensor_TYPE_FLOAT *t0=NULL,*t1=NULL;
parse_file_InputOutput_withDim_to_tensors_TYPE_FLOAT(&t0,&t1 , inputfile, 1);
print_tensor_msg_TYPE_FLOAT(t0," t0 from inputfile" );
print_tensor_msg_TYPE_FLOAT(t1," t1 from inputfile" );
tensor_TYPE_FLOAT **arrt0 = formInput_to_array_tensor_TYPE_FLOAT(t0);
tensor_TYPE_FLOAT **arrt1 = formInput_to_array_tensor_TYPE_FLOAT(t1);
tensor_TYPE_FLOAT **arrt0 = fromInput_to_array_tensor_TYPE_FLOAT(t0);
tensor_TYPE_FLOAT **arrt1 = fromInput_to_array_tensor_TYPE_FLOAT(t1);
size_t sz0=(t0->dim)->perm[0];
@@ -1622,8 +1622,33 @@ TEST(array_from_parseInputOutput_file_knownpart1dimInput_1output_to_tensor){
free_tensor_TYPE_FLOAT(t1);
}
float func2(float x){
return x*x+1;
}
TEST(update_func_){
dimension *d0=create_dim(3);
d0->perm[0]=2;
d0->perm[1]=3;
d0->perm[2]=4;
updateRankDim(d0);
tensor_TYPE_FLOAT *M0 = CREATE_TENSOR_TYPE_FLOAT(d0);
LOG("M0->dim->rank = %ld\n",M0->dim->rank);
init_random_x_TYPE_FLOAT(M0,2.7,5.4,50001);
print_tensor_float(M0, "init M0 random");
update_1tensor_func_TYPE_FLOAT(M0, func2, 5);
print_tensor_float(M0, "x*x+1 M0 random");
}