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add sub {head,tail} tensors, update tensor prod with endian option

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fanasina
2024-02-02 21:19:11 +01:00
parent e195aee3b8
commit 2313cd13d9
4 changed files with 182 additions and 3 deletions
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tensor_t/test/is_good.c
+98
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@@ -31,6 +31,10 @@ TEST(rank){
}
void print_tensor_float(tensor_TYPE_FLOAT *M, char *msg){
if(M==NULL) {
LOG("empty tensor | %s ===============\n",msg);
return;
}
LOG("================= %s ===============\n",msg);
for(size_t i=0; i<M->dim->rank;++i)
LOG("[%ld]: %f ",i,M->x[i]);
@@ -47,6 +51,100 @@ void print_tensor_double(tensor_TYPE_DOUBLE *M, char *msg){
LOG("%s","\n");
}
TEST(tensorSubhead_ ){
dimension *d0=create_dim(3);
d0->perm[0]=4;
d0->perm[1]=3;
d0->perm[2]=5;
updateRankDim(d0);
tensor_TYPE_FLOAT *M0 = CREATE_TENSOR_TYPE_FLOAT(d0);
LOG("M0->dim->rank = %ld\n",M0->dim->rank);
for(size_t i=0; i<M0->dim->rank;++i) M0->x[i]=i*0.1 +1;
endian=false;
size_t rnkId = 1;
tensor_TYPE_FLOAT *s2h = sub_tensor_head_TYPE_FLOAT(M0,1,rnkId);
print_tensor_float(M0, "M0 for sub");
print_tensor_float(s2h, "sub s2h of M0");
printDebug_dimension(M0->dim," M0 dimension ");
printDebug_dimension(s2h->dim," s2h dimension ");
//EXPECT_ARRAY_EQ_TYPE_FLOAT(M0->x,s2h->dim->rank,s2h->x,s2h->dim->rank);
for(size_t i1=0; i1<d0->perm[1];++i1){
for(size_t i0=0; i0<d0->perm[0];++i0){
printf("EXPECT_EQ_TYPE_FLOAT c0[%ld](%ld,%ld,%ld) : s[%ld](%ld,%ld) \n",LineFromCoord((size_t[]){i0,i1,rnkId},M0->dim),rnkId,i0,i1,LineFromCoord((size_t[]){i0,i1},s2h->dim),i0,i1);
EXPECT_EQ_TYPE_FLOAT(M0->x[LineFromCoord((size_t[]){i0,i1,rnkId},M0->dim)],s2h->x[LineFromCoord((size_t[]){i0,i1},s2h->dim)]);
}
}
}
TEST(tensorSubtail ){
dimension *d0=create_dim(3);
d0->perm[0]=4;
d0->perm[1]=3;
d0->perm[2]=5;
updateRankDim(d0);
tensor_TYPE_FLOAT *M0 = CREATE_TENSOR_TYPE_FLOAT(d0);
LOG("M0->dim->rank = %ld\n",M0->dim->rank);
for(size_t i=0; i<M0->dim->rank;++i) M0->x[i]=i*0.1 +1;
tensor_TYPE_FLOAT *s1t = sub_tensor_tail_TYPE_FLOAT(M0,1,5);
print_tensor_float(M0, "M0 for sub");
print_tensor_float(s1t, "sub s2t of M0 from 5");
}
TEST(tensorSubtail ){
dimension *d0=create_dim(3);
d0->perm[0]=4;
d0->perm[1]=3;
d0->perm[2]=5;
updateRankDim(d0);
tensor_TYPE_FLOAT *M0 = CREATE_TENSOR_TYPE_FLOAT(d0);
LOG("M0->dim->rank = %ld\n",M0->dim->rank);
for(size_t i=0; i<M0->dim->rank;++i) M0->x[i]=i*0.1 +1;
//endian=false;
size_t rnkId=3;
tensor_TYPE_FLOAT *s2t = sub_tensor_tail_TYPE_FLOAT(M0,1,rnkId);
print_tensor_float(M0, "M0 for sub");
print_tensor_float(s2t, "sub s2t of M0 from 3");
for(size_t i1=0; i1<d0->perm[1];++i1){
for(size_t i2=0; i2<d0->perm[2];++i2){
printf("EXPECT_EQ_TYPE_FLOAT c0[%ld](%ld,%ld,%ld) : s[%ld](%ld,%ld) \n",LineFromCoord((size_t[]){rnkId,i1,i2},M0->dim),rnkId,i1,i2,LineFromCoord((size_t[]){i1,i2},s2t->dim),i1,i2);
EXPECT_EQ_TYPE_FLOAT(M0->x[LineFromCoord((size_t[]){rnkId,i1,i2},M0->dim)],s2t->x[LineFromCoord((size_t[]){i1,i2},s2t->dim)]);
}
}
}
TEST(tensorProd ){
dimension *d0=create_dim(3);