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add product tensor with pthread (normal prod and contract prod)

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fanasina
2024-02-04 00:54:04 +01:00
parent 5fc1681e19
commit 6ae0f7cd75
4 changed files with 371 additions and 5 deletions
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tensor_t/test/is_good.c
+166 -3
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@@ -442,23 +442,186 @@ TEST(VStensorContractnProd_TYPE_DOUBLE2 ){
//print_tensor_double(M1,"M1");
tensor_TYPE_DOUBLE *M;
//tensor_TYPE_DOUBLE *MnO;
tensor_TYPE_DOUBLE *MnO;
tensorContractnProd_TYPE_DOUBLE(&M, M0,M1,2);
//print_tensor_double(M,"M");
//cl_tensorContractnProd_TYPE_DOUBLE(&MnO, M0,M1,2);
//tensorContractnProdNotOpt_TYPE_DOUBLE(&MnO, M0,M1,2);
tensorContractnProd_TYPE_DOUBLE(&MnO, M0,M1,2);
//print_tensor_double(MnO,"MnO");
// for(size_t i=0;i<M->dim->rank;++i)
// EXPECT_EQ_TYPE_DOUBLE(M->x[i],MnO->x[i]);
//EXPECT_ARRAY_EQ_TYPE_DOUBLE(M->x,M->dim->rank,MnO->x,MnO->dim->rank);
EXPECT_ARRAY_EQ_TYPE_DOUBLE(M->x,M->dim->rank,MnO->x,MnO->dim->rank);
}
TEST(Pthread_tensorContractnProd_TYPE_DOUBLE2 ){
dimension *d0=create_dim(3);
dimension *d1=create_dim(3);
d0->perm[0]=125;
d0->perm[1]=52; //3;
d0->perm[2]=63;
d1->perm[0]=52;
d1->perm[1]=63;//3;
d1->perm[2]=154;
updateRankDim(d0);
updateRankDim(d1);
tensor_TYPE_DOUBLE *M0 = CREATE_TENSOR_TYPE_DOUBLE(d0);
tensor_TYPE_DOUBLE *M1 = CREATE_TENSOR_TYPE_DOUBLE(d1);
LOG("M0->dim->rank = %ld\n",M0->dim->rank);
LOG("M1->dim->rank = %ld\n",M1->dim->rank);
for(size_t i=0; i<M0->dim->rank;++i) M0->x[i]=i*0.1 +1;
for(size_t i=0; i<M1->dim->rank;++i) M1->x[i]=i*0.003 + 2;
//print_tensor_double(M0,"M0");
//print_tensor_double(M1,"M1");
tensor_TYPE_DOUBLE *M;
tensor_TYPE_DOUBLE *MnO;
size_t nbthread = 5;
tensorContractnProd_TYPE_DOUBLE(&M, M0,M1,2);
//print_tensor_double(M,"M");
//cl_tensorContractnProd_TYPE_DOUBLE(&MnO, M0,M1,2);
tensorContractnProdThread_TYPE_DOUBLE(&MnO, M0,M1,2,nbthread);
//print_tensor_double(MnO,"MnO");
// for(size_t i=0;i<M->dim->rank;++i)
// EXPECT_EQ_TYPE_DOUBLE(M->x[i],MnO->x[i]);
EXPECT_ARRAY_EQ_TYPE_DOUBLE(M->x,M->dim->rank,MnO->x,MnO->dim->rank);
}
TEST(tensorProd_vs ){
dimension *d0=create_dim(3);
dimension *d1=create_dim(2);
d0->perm[0]=12;
d0->perm[1]=13;
d0->perm[2]=12;
d1->perm[0]=21;
d1->perm[1]=23;
updateRankDim(d0);
updateRankDim(d1);
tensor_TYPE_FLOAT *M0 = CREATE_TENSOR_TYPE_FLOAT(d0);
tensor_TYPE_FLOAT *M1 = CREATE_TENSOR_TYPE_FLOAT(d1);
LOG("M0->dim->rank = %ld\n",M0->dim->rank);
LOG("M1->dim->rank = %ld\n",M1->dim->rank);
for(size_t i=0; i<M0->dim->rank;++i) M0->x[i]=i*0.1 +1;
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;
tensorProd_TYPE_FLOAT(&M,M0,M1);
tensorProdNotOpt_TYPE_FLOAT(&Mn,M0,M1);
LOG("M->dim->rank = %ld\n",M->dim->rank);
EXPECT_ARRAY_EQ_TYPE_FLOAT(M->x,M->dim->rank,Mn->x,Mn->dim->rank);
}
TEST(tensorProd_vsThread ){
dimension *d0=create_dim(3);
dimension *d1=create_dim(2);
d0->perm[0]=12;
d0->perm[1]=13;
d0->perm[2]=12;
d1->perm[0]=21;
d1->perm[1]=23;
updateRankDim(d0);
updateRankDim(d1);
tensor_TYPE_FLOAT *M0 = CREATE_TENSOR_TYPE_FLOAT(d0);
tensor_TYPE_FLOAT *M1 = CREATE_TENSOR_TYPE_FLOAT(d1);
LOG("M0->dim->rank = %ld\n",M0->dim->rank);
LOG("M1->dim->rank = %ld\n",M1->dim->rank);
for(size_t i=0; i<M0->dim->rank;++i) M0->x[i]=i*0.1 +1;
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;
size_t nbthread = 5;
tensorProdThread_TYPE_FLOAT(&M,M0,M1,nbthread);
tensorProdNotOpt_TYPE_FLOAT(&Mn,M0,M1);
LOG("M->dim->rank = %ld\n",M->dim->rank);
EXPECT_ARRAY_EQ_TYPE_FLOAT(M->x,M->dim->rank,Mn->x,Mn->dim->rank);
}
TEST(tensorProd_vsThread2d ){
dimension *d0=create_dim(3);
dimension *d1=create_dim(2);
d0->perm[0]=12;
d0->perm[1]=13;
d0->perm[2]=12;
d1->perm[0]=21;
d1->perm[1]=23;
updateRankDim(d0);
updateRankDim(d1);
tensor_TYPE_FLOAT *M0 = CREATE_TENSOR_TYPE_FLOAT(d0);
tensor_TYPE_FLOAT *M1 = CREATE_TENSOR_TYPE_FLOAT(d1);
LOG("M0->dim->rank = %ld\n",M0->dim->rank);
LOG("M1->dim->rank = %ld\n",M1->dim->rank);
for(size_t i=0; i<M0->dim->rank;++i) M0->x[i]=i*0.1 +1;
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;
size_t nbthread = 5;
tensorProdThread2d_TYPE_FLOAT(&M,M0,M1,nbthread);
tensorProdNotOpt_TYPE_FLOAT(&Mn,M0,M1);
LOG("M->dim->rank = %ld\n",M->dim->rank);
EXPECT_ARRAY_EQ_TYPE_FLOAT(M->x,M->dim->rank,Mn->x,Mn->dim->rank);
}
int main(int argc, char **argv){