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mirror of https://github.com/TREX-CoE/qmckl.git synced 2024-07-18 08:53:47 +02:00

Added vector/matrix/tensor types in blas

This commit is contained in:
Anthony Scemama 2022-01-20 12:09:08 +01:00
parent c4635e9296
commit 18f9f96bcc
2 changed files with 534 additions and 1 deletions

View File

@ -7,18 +7,543 @@
(org-babel-lob-ingest "../tools/lib.org")
#+end_src
#+begin_src c :tangle (eval h_private_type)
#ifndef QMCKL_BLAS_HPT
#define QMCKL_BLAS_HPT
#+end_src
#+begin_src c :tangle (eval h_private_func)
#ifndef QMCKL_BLAS_HPF
#define QMCKL_BLAS_HPF
#include "qmckl_blas_private_type.h"
#+end_src
#+begin_src c :tangle (eval c)
#ifdef HAVE_CONFIG_H
#include "config.h"
#endif
#ifdef HAVE_STDINT_H
#include <stdint.h>
#elif HAVE_INTTYPES_H
#include <inttypes.h>
#endif
#include <stdlib.h>
#include <string.h>
#include <stdbool.h>
#include <assert.h>
#include <math.h>
#include "qmckl.h"
#include "qmckl_context_private_type.h"
#include "qmckl_memory_private_type.h"
#include "qmckl_memory_private_func.h"
#include "qmckl_blas_private_type.h"
#include "qmckl_blas_private_func.h"
#+end_src
#+begin_src c :comments link :tangle (eval c_test) :noweb yes
#include "qmckl.h"
#include "assert.h"
#ifdef HAVE_CONFIG_H
#include "config.h"
#endif
#include "qmckl_blas_private_type.h"
#include "qmckl_blas_private_func.h"
int main() {
qmckl_context context;
context = qmckl_context_create();
#+end_src
* Data types
** Vector
| Variable | Type | Description |
|----------+-----------+-------------------------|
| ~size~ | ~int64_t~ | Dimension of the vector |
| ~data~ | ~double*~ | Elements |
#+begin_src c :comments org :tangle (eval h_private_type)
typedef struct qmckl_vector {
int64_t size;
double* data;
} qmckl_vector;
#+end_src
#+begin_src c :comments org :tangle (eval h_private_func)
qmckl_vector
qmckl_vector_alloc( qmckl_context context,
const int64_t size);
#+end_src
Allocates a new vector. If the allocation failed the size is zero.
#+begin_src c :comments org :tangle (eval c)
qmckl_vector
qmckl_vector_alloc( qmckl_context context,
const int64_t size)
{
/* Should always be true by contruction */
assert (size > (int64_t) 0);
qmckl_vector result;
result.size = size;
qmckl_memory_info_struct mem_info = qmckl_memory_info_struct_zero;
mem_info.size = size * sizeof(double);
result.data = (double*) qmckl_malloc (context, mem_info);
if (result.data == NULL) {
result.size = (int64_t) 0;
}
return result;
}
#+end_src
#+begin_src c :comments org :tangle (eval h_private_func)
qmckl_exit_code
qmckl_vector_free( qmckl_context context,
qmckl_vector vector);
#+end_src
#+begin_src c :comments org :tangle (eval c)
qmckl_exit_code
qmckl_vector_free( qmckl_context context,
qmckl_vector vector)
{
/* Always true */
assert (vector.data != NULL);
qmckl_exit_code rc;
rc = qmckl_free(context, vector.data);
if (rc != QMCKL_SUCCESS) {
return rc;
}
vector.size = (int64_t) 0;
vector.data = NULL;
return QMCKL_SUCCESS;
}
#+end_src
** Matrix
| Variable | Type | Description |
|----------+--------------+-----------------------------|
| ~size~ | ~int64_t[2]~ | Dimension of each component |
| ~data~ | ~double*~ | Elements |
The dimensions use Fortran ordering: two elements differing by one
in the first dimension are consecutive in memory.
#+begin_src c :comments org :tangle (eval h_private_type)
typedef struct qmckl_matrix {
int64_t size[2];
double* data;
} qmckl_matrix;
#+end_src
#+begin_src c :comments org :tangle (eval h_private_func)
qmckl_matrix
qmckl_matrix_alloc( qmckl_context context,
const int64_t size1,
const int64_t size2);
#+end_src
Allocates a new matrix. If the allocation failed the sizes are zero.
#+begin_src c :comments org :tangle (eval c)
qmckl_matrix
qmckl_matrix_alloc( qmckl_context context,
const int64_t size1,
const int64_t size2)
{
/* Should always be true by contruction */
assert (size1 * size2 > (int64_t) 0);
qmckl_matrix result;
result.size[0] = size1;
result.size[1] = size2;
qmckl_memory_info_struct mem_info = qmckl_memory_info_struct_zero;
mem_info.size = size1 * size2 * sizeof(double);
result.data = (double*) qmckl_malloc (context, mem_info);
if (result.data == NULL) {
result.size[0] = (int64_t) 0;
result.size[1] = (int64_t) 0;
}
return result;
}
#+end_src
#+begin_src c :comments org :tangle (eval h_private_func)
qmckl_exit_code
qmckl_matrix_free( qmckl_context context,
qmckl_matrix matrix);
#+end_src
#+begin_src c :comments org :tangle (eval c)
qmckl_exit_code
qmckl_matrix_free( qmckl_context context,
qmckl_matrix matrix)
{
/* Always true */
assert (matrix.data != NULL);
qmckl_exit_code rc;
rc = qmckl_free(context, matrix.data);
if (rc != QMCKL_SUCCESS) {
return rc;
}
matrix.data = NULL;
matrix.size[0] = (int64_t) 0;
matrix.size[1] = (int64_t) 0;
return QMCKL_SUCCESS;
}
#+end_src
** Tensor
| Variable | Type | Description |
|----------+-----------------------------------+-----------------------------|
| ~order~ | ~int64_t~ | Order of the tensor |
| ~size~ | ~int64_t[QMCKL_TENSOR_ORDER_MAX]~ | Dimension of each component |
| ~data~ | ~double*~ | Elements |
The dimensions use Fortran ordering: two elements differing by one
in the first dimension are consecutive in memory.
#+begin_src c :comments org :tangle (eval h_private_type)
#define QMCKL_TENSOR_ORDER_MAX 16
typedef struct qmckl_tensor {
int64_t order;
int64_t size[QMCKL_TENSOR_ORDER_MAX];
double* data;
} qmckl_tensor;
#+end_src
#+begin_src c :comments org :tangle (eval h_private_func)
qmckl_tensor
qmckl_tensor_alloc( qmckl_context context,
const int64_t order,
const int64_t* size);
#+end_src
Allocates memory for a tensor. If the allocation failed, the size
is zero.
#+begin_src c :comments org :tangle (eval c)
qmckl_tensor
qmckl_tensor_alloc( qmckl_context context,
const int64_t order,
const int64_t* size)
{
/* Should always be true by contruction */
assert (order > 0);
assert (order <= QMCKL_TENSOR_ORDER_MAX);
assert (size != NULL);
qmckl_tensor result;
result.order = order;
int64_t prod_size = (int64_t) 1;
for (int64_t i=0 ; i<order ; ++i) {
assert (size[i] > (int64_t) 0);
result.size[i] = size[i];
prod_size *= size[i];
}
qmckl_memory_info_struct mem_info = qmckl_memory_info_struct_zero;
mem_info.size = prod_size * sizeof(double);
result.data = (double*) qmckl_malloc (context, mem_info);
if (result.data == NULL) {
memset(&result, 0, sizeof(qmckl_tensor));
}
return result;
}
#+end_src
#+begin_src c :comments org :tangle (eval h_private_func)
qmckl_exit_code
qmckl_tensor_free( qmckl_context context,
qmckl_tensor tensor);
#+end_src
#+begin_src c :comments org :tangle (eval c)
qmckl_exit_code
qmckl_tensor_free( qmckl_context context,
qmckl_tensor tensor)
{
/* Always true */
assert (tensor.data != NULL);
qmckl_exit_code rc;
rc = qmckl_free(context, tensor.data);
if (rc != QMCKL_SUCCESS) {
return rc;
}
memset(&tensor, 0, sizeof(qmckl_tensor));
return QMCKL_SUCCESS;
}
#+end_src
** Reshaping
Reshaping occurs in-place and the pointer to the data is copied.
*** Vector -> Matrix
#+begin_src c :comments org :tangle (eval h_private_func)
qmckl_matrix
qmckl_matrix_of_vector(const qmckl_vector vector,
const int64_t size1,
const int64_t size2);
#+end_src
Reshapes a vector into a matrix.
#+begin_src c :comments org :tangle (eval c)
qmckl_matrix
qmckl_matrix_of_vector(const qmckl_vector vector,
const int64_t size1,
const int64_t size2)
{
/* Always true */
assert (size1 * size2 == vector.size);
qmckl_matrix result;
result.size[0] = size1;
result.size[1] = size2;
result.data = vector.data;
return result;
}
#+end_src
*** Vector -> Tensor
#+begin_src c :comments org :tangle (eval h_private_func)
qmckl_tensor
qmckl_tensor_of_vector(const qmckl_vector vector,
const int64_t order,
const int64_t* size);
#+end_src
Reshapes a vector into a tensor.
#+begin_src c :comments org :tangle (eval c)
qmckl_tensor
qmckl_tensor_of_vector(const qmckl_vector vector,
const int64_t order,
const int64_t* size)
{
qmckl_tensor result;
int64_t prod_size = 1;
for (int64_t i=0 ; i<order ; ++i) {
result.size[i] = size[i];
prod_size *= size[i];
}
assert (prod_size == vector.size);
result.data = vector.data;
return result;
}
#+end_src
*** Matrix -> Vector
#+begin_src c :comments org :tangle (eval h_private_func)
qmckl_vector
qmckl_vector_of_matrix(const qmckl_matrix matrix,
const int64_t size);
#+end_src
Reshapes a matrix into a vector.
#+begin_src c :comments org :tangle (eval c)
qmckl_vector
qmckl_vector_of_matrix(const qmckl_matrix matrix,
const int64_t size)
{
/* Always true */
assert (matrix.size[0] * matrix.size[1] == size);
qmckl_vector result;
result.size = size;
result.data = matrix.data;
return result;
}
#+end_src
*** Matrix -> Tensor
#+begin_src c :comments org :tangle (eval h_private_func)
qmckl_tensor
qmckl_tensor_of_matrix(const qmckl_matrix matrix,
const int64_t order,
const int64_t* size);
#+end_src
Reshapes a matrix into a tensor.
#+begin_src c :comments org :tangle (eval c)
qmckl_tensor
qmckl_tensor_of_matrix(const qmckl_matrix matrix,
const int64_t order,
const int64_t* size)
{
qmckl_tensor result;
int64_t prod_size = 1;
for (int64_t i=0 ; i<order ; ++i) {
result.size[i] = size[i];
prod_size *= size[i];
}
assert (prod_size == matrix.size[0] * matrix.size[1]);
result.data = matrix.data;
return result;
}
#+end_src
*** Tensor -> Vector
#+begin_src c :comments org :tangle (eval h_private_func)
qmckl_vector
qmckl_vector_of_tensor(const qmckl_tensor tensor,
const int64_t size);
#+end_src
Reshapes a tensor into a vector.
#+begin_src c :comments org :tangle (eval c)
qmckl_vector
qmckl_vector_of_tensor(const qmckl_tensor tensor,
const int64_t size)
{
/* Always true */
int64_t prod_size = (int64_t) 1;
for (int64_t i=0 ; i<tensor.order ; i++) {
prod_size *= tensor.size[i];
}
assert (prod_size == size);
qmckl_vector result;
result.size = size;
result.data = tensor.data;
return result;
}
#+end_src
*** Tensor -> Matrix
#+begin_src c :comments org :tangle (eval h_private_func)
qmckl_matrix
qmckl_matrix_of_tensor(const qmckl_tensor tensor,
const int64_t size1,
const int64_t size2);
#+end_src
Reshapes a tensor into a vector.
#+begin_src c :comments org :tangle (eval c)
qmckl_matrix
qmckl_matrix_of_tensor(const qmckl_tensor tensor,
const int64_t size1,
const int64_t size2)
{
/* Always true */
int64_t prod_size = (int64_t) 1;
for (int64_t i=0 ; i<tensor.order ; i++) {
prod_size *= tensor.size[i];
}
assert (prod_size == size1 * size2);
qmckl_matrix result;
result.size[0] = size1;
result.size[1] = size2;
result.data = tensor.data;
return result;
}
#+end_src
** Access macros
#+begin_src c :comments org :tangle (eval h_private_func)
#define qmckl_vec(v, i) v.data[i]
#define qmckl_mat(m, i, j) m.data[(i) + (j)*m.size[0]]
#define qmckl_ten3(t, i, j, k) t.data[(i) + m.size[0]*((j) + size[1]*(k))]
#define qmckl_ten4(t, i, j, k, l) t.data[(i) + m.size[0]*((j) + size[1]*((k) + size[2]*(l)))]
#define qmckl_ten5(t, i, j, k, l, m) t.data[(i) + m.size[0]*((j) + size[1]*((k) + size[2]*((l) + size[3]*(m))))]
#+end_src
** Tests
#+begin_src c :comments link :tangle (eval c_test)
{
int64_t m = 3;
int64_t n = 4;
int64_t p = m*n;
qmckl_vector vec = qmckl_vector_alloc(context, p);
for (int64_t i=0 ; i<p ; ++i)
qmckl_vec(vec, i) = (double) i;
for (int64_t i=0 ; i<p ; ++i)
assert( vec.data[i] == (double) i );
qmckl_matrix mat = qmckl_matrix_of_vector(vec, m, n);
assert (mat.size[0] == m);
assert (mat.size[1] == n);
assert (mat.data == vec.data);
for (int64_t j=0 ; j<n ; ++j)
for (int64_t i=0 ; i<m ; ++i)
assert ( qmckl_mat(mat, i, j) == qmckl_vec(vec, i+j*m)) ;
qmckl_vector vec2 = qmckl_vector_of_matrix(mat, p);
assert (vec2.size == p);
assert (vec2.data == vec.data);
for (int64_t i=0 ; i<p ; ++i)
assert ( qmckl_vec(vec2, i) == qmckl_vec(vec, i) ) ;
qmckl_vector_free(context, vec);
}
#+end_src
* Matrix operations
** ~qmckl_dgemm~
@ -1170,6 +1695,15 @@ assert(QMCKL_SUCCESS == test_qmckl_adjugate(context));
* End of files :noexport:
#+begin_src c :tangle (eval h_private_type)
#endif
#+end_src
#+begin_src c :tangle (eval h_private_func)
#endif
#+end_src
#+begin_src c :comments link :tangle (eval c_test)
assert (qmckl_context_destroy(context) == QMCKL_SUCCESS);
return 0;

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@ -497,7 +497,6 @@ interface
end interface
#+end_src
** Test
#+begin_src c :tangle (eval c_test)