26 #ifndef CASADI_MULTIPLICATION_CPP
27 #define CASADI_MULTIPLICATION_CPP
29 #include "multiplication.hpp"
30 #include "blas_impl.hpp"
31 #include "casadi_misc.hpp"
32 #include "function_internal.hpp"
33 #include "serializing_stream.hpp"
38 const std::string& blas) {
48 const std::string& blas) {
51 "Multiplication::Multiplication: dimension mismatch. Attempting to multiply "
52 + x.
dim() +
" with " + y.
dim()
53 +
" and add the result to " + z.
dim());
61 return "mac(" + arg.at(1) +
"," + arg.at(2) +
"," + arg.at(0) +
")";
75 std::vector<std::vector<MX> >& fsens)
const {
76 for (casadi_int d=0; d<fsens.size(); ++d) {
77 fsens[d][0] = fseed[d][0]
84 std::vector<std::vector<MX> >& asens)
const {
85 for (casadi_int d=0; d<aseed.size(); ++d) {
88 asens[d][0] += aseed[d][0];
93 const std::vector<bool>& unique)
const {
94 res[0] = mac(arg[1], arg[2], arg[0]);
98 std::vector<std::array<MX, 3> >& res)
const {
99 const std::array<MX, 3>& x = arg[1];
100 const std::array<MX, 3>& y = arg[2];
101 const std::array<MX, 3>& z = arg[0];
102 std::array<MX, 3>& f = res[0];
103 f[0] = mac(x[0], y[0], z[0]);
104 f[1] = mac(x[0], y[1], z[1]);
105 f[1] = mac(x[1], y[0], f[1]);
106 f[2] = mac(x[1]+x[2], y[1]+y[2], z[2]);
107 f[2] = mac(x[2], y[0], f[2]);
108 f[2] = mac(x[0], y[2], f[2]);
143 const std::vector<casadi_int>& arg,
144 const std::vector<casadi_int>& res,
145 const std::vector<bool>& arg_is_ref) {
146 if (arg[0]!=res[0] || arg_is_ref[0]) {
147 g << g.
copy(g.
work(arg[0], nnz, arg_is_ref[0]),
149 g.
work(res[0], nnz,
false)) <<
'\n';
154 const std::vector<casadi_int>& arg,
155 const std::vector<casadi_int>& res,
156 const std::vector<bool>& arg_is_ref,
157 std::vector<bool>& res_is_ref)
const {
167 const std::string& blas) {
181 arg[2],
dep(2).
size2(), res[0],
false);
185 const std::vector<casadi_int>& arg,
const std::vector<casadi_int>& res,
186 const std::vector<bool>& arg_is_ref, std::vector<bool>& res_is_ref)
const {
199 const std::string& blas) {
215 const std::vector<casadi_int>& arg,
const std::vector<casadi_int>& res,
216 const std::vector<bool>& arg_is_ref, std::vector<bool>& res_is_ref)
const {
220 g.
work(res[0],
nnz(),
false)) <<
'\n';
226 const std::string& blas) {
229 if (z.
nnz() == 0)
return nullptr;
230 std::vector<casadi_int> xr, xc, yr, yc, zr, zc;
236 if (xc != yr || xr != zr || yc != zc)
return nullptr;
238 static_cast<casadi_int
>(xr.size()),
239 static_cast<casadi_int
>(xc.size()),
240 static_cast<casadi_int
>(yc.size()),
245 casadi_int nrow_x_compact, casadi_int ncol_x_compact, casadi_int ncol_y_compact,
246 const std::string& blas)
248 a_(nrow_x_compact), b_(ncol_x_compact), c_(ncol_y_compact) {}
251 double** res,
double* w)
const {
261 const std::vector<casadi_int>& arg,
const std::vector<casadi_int>& res,
262 const std::vector<bool>& arg_is_ref, std::vector<bool>& res_is_ref)
const {
265 g.
work(arg[1],
dep(1).
nnz(), arg_is_ref[1]), a_, b_,
266 g.
work(arg[2],
dep(2).
nnz(), arg_is_ref[2]), c_,
272 s.
pack(
"Multiplication::kind", std::string(
"base"));
277 s.
pack(
"Multiplication::blas",
287 s.
unpack(
"Multiplication::blas", blas);
293 s.
pack(
"Multiplication::kind", std::string(
"dense"));
298 s.
pack(
"Multiplication::kind", std::string(
"dense_sparse"));
303 s.
pack(
"Multiplication::kind", std::string(
"pseudo_dense"));
308 s.
pack(
"PseudoDenseMultiplication::a", a_);
309 s.
pack(
"PseudoDenseMultiplication::b", b_);
310 s.
pack(
"PseudoDenseMultiplication::c", c_);
315 s.
unpack(
"PseudoDenseMultiplication::a", a_);
316 s.
unpack(
"PseudoDenseMultiplication::b", b_);
317 s.
unpack(
"PseudoDenseMultiplication::c", c_);
338 if (descr ==
"Multiplication::dense") {
341 casadi_assert(descr ==
"Multiplication::kind",
342 "Unexpected Multiplication descriptor: '" + descr +
"'.");
348 legacy_bool = (p ==
'a' || p ==
'b');
349 if (!legacy_bool) s.
unpack(
"Multiplication::kind", kind);
355 else s.
unpack(
"Multiplication::dense", dense);
static void mtimes(casadi_int shorthand, const double *A, casadi_int m, casadi_int k, const double *B, casadi_int n, double *C)
static const char * name_for_shorthand(casadi_int shorthand)
static casadi_int shorthand_for(const std::string &name)
static void codegen_mtimes(CodeGenerator &g, casadi_int shorthand, const std::string &A, casadi_int m, casadi_int k, const std::string &B, casadi_int n, const std::string &C)
Helper class for C code generation.
std::string work(casadi_int n, casadi_int sz, bool is_ref) const
std::string copy(const std::string &arg, std::size_t n, const std::string &res)
Create a copy operation.
std::string mtimes(const std::string &x, const Sparsity &sp_x, const std::string &y, const Sparsity &sp_y, const std::string &z, const Sparsity &sp_z, const std::string &w, bool tr)
Codegen sparse matrix-matrix multiplication.
std::string mtimes_dense_sparse(const std::string &x, casadi_int nrow_x, const std::string &y, const Sparsity &sp_y, const std::string &z)
Codegen dense-sparse matrix-matrix multiplication (z, x dense)
Dense * Dense -> Dense matrix product.
void serialize_type(SerializingStream &s) const override
Serialize specific part of node.
void eval_kernel(const double **arg, double **res, double *w) const override
Subclass hook: mathematical kernel z += x*y on the input buffers.
static MXNode * try_create(const MX &z, const MX &x, const MX &y, const std::string &blas="reference")
Returns a fresh node iff x, y, z are all dense; otherwise nullptr.
void generate(CodeGenerator &g, const std::vector< casadi_int > &arg, const std::vector< casadi_int > &res, const std::vector< bool > &arg_is_ref, std::vector< bool > &res_is_ref) const override
Generate code for the operation.
DenseMultiplication(const MX &z, const MX &x, const MX &y, const std::string &blas="reference")
Dense * Sparse -> Dense matrix product.
DenseSparseMultiplication(const MX &z, const MX &x, const MX &y, const std::string &blas="reference")
static MXNode * try_create(const MX &z, const MX &x, const MX &y, const std::string &blas="reference")
Returns a fresh node iff x, z are dense; otherwise nullptr.
void eval_kernel(const double **arg, double **res, double *w) const override
Subclass hook: mathematical kernel z += x*y on the input buffers.
void serialize_type(SerializingStream &s) const override
Serialize specific part of node.
void generate(CodeGenerator &g, const std::vector< casadi_int > &arg, const std::vector< casadi_int > &res, const std::vector< bool > &arg_is_ref, std::vector< bool > &res_is_ref) const override
Generate code for the operation.
Helper class for Serialization.
void unpack(Sparsity &e)
Reconstruct an object from the input stream.
bool debug() const
Whether the stream was written in debug-decoration mode.
bool is_dense() const
Check if the matrix expression is dense.
casadi_int nnz() const
Get the number of (structural) non-zero elements.
casadi_int size2() const
Get the second dimension (i.e. number of columns)
casadi_int size1() const
Get the first dimension (i.e. number of rows)
std::string dim(bool with_nz=false) const
Get string representation of dimensions.
static MX zeros(casadi_int nrow=1, casadi_int ncol=1)
Create a dense matrix or a matrix with specified sparsity with all entries zero.
Node class for MX objects.
virtual void serialize_type(SerializingStream &s) const
Serialize type information.
static void copy_fwd(const bvec_t *arg, bvec_t *res, casadi_int len)
Propagate sparsities forward through a copy operation.
static void copy_rev(bvec_t *arg, bvec_t *res, casadi_int len)
Propagate sparsities backwards through a copy operation.
const Sparsity & sparsity() const
Get the sparsity.
casadi_int nnz(casadi_int i=0) const
const MX & dep(casadi_int ind=0) const
dependencies - functions that have to be evaluated before this one
virtual void serialize_body(SerializingStream &s) const
Serialize an object without type information.
void set_sparsity(const Sparsity &sparsity)
Set the sparsity.
void set_dep(const MX &dep)
Set unary dependency.
static MX create(MXNode *node)
Create from node.
const Sparsity & sparsity() const
Get the sparsity pattern.
An MX atomic for matrix-matrix product,.
void eval_mx(const std::vector< MX > &arg, std::vector< MX > &res, const std::vector< bool > &unique={}) const override
Evaluate symbolically (MX)
int sp_reverse(bvec_t **arg, bvec_t **res, casadi_int *iw, bvec_t *w) const override
Propagate sparsity backwards.
void serialize_type(SerializingStream &s) const override
Serialize specific part of node.
void generate(CodeGenerator &g, const std::vector< casadi_int > &arg, const std::vector< casadi_int > &res, const std::vector< bool > &arg_is_ref, std::vector< bool > &res_is_ref) const override
Generate code for the operation.
void serialize_body(SerializingStream &s) const override
Serialize body (BLAS plugin name)
void ad_forward(const std::vector< std::vector< MX > > &fseed, std::vector< std::vector< MX > > &fsens) const override
Calculate forward mode directional derivatives.
std::string disp(const std::vector< std::string > &arg) const override
Print expression.
static MXNode * deserialize(DeserializingStream &s)
Deserialize with type disambiguation.
int sp_forward(const bvec_t **arg, bvec_t **res, casadi_int *iw, bvec_t *w) const override
Propagate sparsity forward.
virtual void eval_kernel(const double **arg, double **res, double *w) const
Subclass hook: mathematical kernel z += x*y on the input buffers.
int eval_activity(const bvec_t **arg, bvec_t **res, casadi_int *iw, bvec_t *w) const override
Propagate signal activity forward (bit set = active)
static MX create(const MX &z, const MX &x, const MX &y, const std::string &blas="reference")
Factory: dispatch to the most specific subclass for the given operands.
casadi_int blas_shorthand_
Multiplication(const MX &z, const MX &x, const MX &y, const std::string &blas="reference")
Constructor.
void ad_reverse(const std::vector< std::vector< MX > > &aseed, std::vector< std::vector< MX > > &asens) const override
Calculate reverse mode directional derivatives.
void eval_linear(const std::vector< std::array< MX, 3 > > &arg, std::vector< std::array< MX, 3 > > &res) const override
Evaluate the MX node on a const/linear/nonlinear partition.
Compactible * Compactible -> Compactible product.
static MXNode * try_create(const MX &z, const MX &x, const MX &y, const std::string &blas="reference")
void serialize_type(SerializingStream &s) const override
Serialize specific part of node.
void serialize_body(SerializingStream &s) const override
Serialize body (BLAS plugin name)
void eval_kernel(const double **arg, double **res, double *w) const override
Subclass hook: mathematical kernel z += x*y on the input buffers.
PseudoDenseMultiplication(const MX &z, const MX &x, const MX &y, casadi_int nrow_x_compact, casadi_int ncol_x_compact, casadi_int ncol_y_compact, const std::string &blas="reference")
void generate(CodeGenerator &g, const std::vector< casadi_int > &arg, const std::vector< casadi_int > &res, const std::vector< bool > &arg_is_ref, std::vector< bool > &res_is_ref) const override
Generate code for the operation.
The basic scalar symbolic class of CasADi.
Helper class for Serialization.
void pack(const Sparsity &e)
Serializes an object to the output stream.
bool is_compactible(std::vector< casadi_int > &row, std::vector< casadi_int > &col) const
Check if the nonzero pattern is the Cartesian product of a row and a column subset.
static void mul_sparsityR(bvec_t *x, const Sparsity &x_sp, bvec_t *y, const Sparsity &y_sp, bvec_t *z, const Sparsity &z_sp, bvec_t *w)
Propagate sparsity using 0-1 logic through a matrix product,.
static void mul_activityF(const bvec_t *x, const Sparsity &x_sp, const bvec_t *y, const Sparsity &y_sp, bvec_t *z, const Sparsity &z_sp, bvec_t *w)
Propagate signal activity through a matrix product, forward mode.
static void mul_sparsityF(const bvec_t *x, const Sparsity &x_sp, const bvec_t *y, const Sparsity &y_sp, bvec_t *z, const Sparsity &z_sp, bvec_t *w)
Propagate sparsity using 0-1 logic through a matrix product,.
void casadi_mtimes_dense_sparse(const T1 *x, casadi_int nrow_x, const T1 *y, const casadi_int *sp_y, T1 *z)
Dense * sparse matrix multiplication: z <- z + x*y (z, x dense col-major)
unsigned long long bvec_t
void casadi_mtimes_dense(const T1 *x, casadi_int nrow_x, casadi_int ncol_x, const T1 *y, casadi_int ncol_y, T1 *z, casadi_int tr)
Dense matrix-matrix multiplication: z <- z + x*y (column-major)
static void codegen_copy_z(CodeGenerator &g, casadi_int nnz, const std::vector< casadi_int > &arg, const std::vector< casadi_int > &res, const std::vector< bool > &arg_is_ref)
void casadi_mtimes(const T1 *x, const casadi_int *sp_x, const T1 *y, const casadi_int *sp_y, T1 *z, const casadi_int *sp_z, T1 *w, casadi_int tr)
Sparse matrix-matrix multiplication: z <- z + x*y.