monolish  0.17.1
MONOlithic LInear equation Solvers for Highly-parallel architecture
monolish_tensor_dense_vml.hpp
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1 // this code is generated by gen_tensor_dense_vml.sh
2 #pragma once
3 
4 #include "../common/monolish_common.hpp"
5 
6 namespace monolish {
11 namespace vml {
12 
36 void add(const tensor::tensor_Dense<double> &A,
37  const tensor::tensor_Dense<double> &B,
38  tensor::tensor_Dense<double> &C);
39 void add(const tensor::tensor_Dense<float> &A,
40  const tensor::tensor_Dense<float> &B, tensor::tensor_Dense<float> &C);
61 void sub(const tensor::tensor_Dense<double> &A,
62  const tensor::tensor_Dense<double> &B,
63  tensor::tensor_Dense<double> &C);
64 void sub(const tensor::tensor_Dense<float> &A,
65  const tensor::tensor_Dense<float> &B, tensor::tensor_Dense<float> &C);
86 void mul(const tensor::tensor_Dense<double> &A,
87  const tensor::tensor_Dense<double> &B,
88  tensor::tensor_Dense<double> &C);
89 void mul(const tensor::tensor_Dense<float> &A,
90  const tensor::tensor_Dense<float> &B, tensor::tensor_Dense<float> &C);
111 void div(const tensor::tensor_Dense<double> &A,
112  const tensor::tensor_Dense<double> &B,
113  tensor::tensor_Dense<double> &C);
114 void div(const tensor::tensor_Dense<float> &A,
115  const tensor::tensor_Dense<float> &B, tensor::tensor_Dense<float> &C);
134 void add(const tensor::tensor_Dense<double> &A, const double alpha,
135  tensor::tensor_Dense<double> &C);
136 void add(const tensor::tensor_Dense<float> &A, const float alpha,
137  tensor::tensor_Dense<float> &C);
156 void sub(const tensor::tensor_Dense<double> &A, const double alpha,
157  tensor::tensor_Dense<double> &C);
158 void sub(const tensor::tensor_Dense<float> &A, const float alpha,
159  tensor::tensor_Dense<float> &C);
180 void mul(const tensor::tensor_Dense<double> &A, const double alpha,
181  tensor::tensor_Dense<double> &C);
182 void mul(const tensor::tensor_Dense<float> &A, const float alpha,
183  tensor::tensor_Dense<float> &C);
202 void div(const tensor::tensor_Dense<double> &A, const double alpha,
203  tensor::tensor_Dense<double> &C);
204 void div(const tensor::tensor_Dense<float> &A, const float alpha,
205  tensor::tensor_Dense<float> &C);
223 void pow(const tensor::tensor_Dense<double> &A,
224  const tensor::tensor_Dense<double> &B,
225  tensor::tensor_Dense<double> &C);
226 void pow(const tensor::tensor_Dense<float> &A,
227  const tensor::tensor_Dense<float> &B, tensor::tensor_Dense<float> &C);
247 void pow(const tensor::tensor_Dense<double> &A, const double alpha,
248  tensor::tensor_Dense<double> &C);
249 void pow(const tensor::tensor_Dense<float> &A, const float alpha,
250  tensor::tensor_Dense<float> &C);
267 void sin(const tensor::tensor_Dense<double> &A,
268  tensor::tensor_Dense<double> &C);
269 void sin(const tensor::tensor_Dense<float> &A, tensor::tensor_Dense<float> &C);
286 void sqrt(const tensor::tensor_Dense<double> &A,
287  tensor::tensor_Dense<double> &C);
288 void sqrt(const tensor::tensor_Dense<float> &A, tensor::tensor_Dense<float> &C);
305 void sinh(const tensor::tensor_Dense<double> &A,
306  tensor::tensor_Dense<double> &C);
307 void sinh(const tensor::tensor_Dense<float> &A, tensor::tensor_Dense<float> &C);
324 void asin(const tensor::tensor_Dense<double> &A,
325  tensor::tensor_Dense<double> &C);
326 void asin(const tensor::tensor_Dense<float> &A, tensor::tensor_Dense<float> &C);
343 void asinh(const tensor::tensor_Dense<double> &A,
344  tensor::tensor_Dense<double> &C);
345 void asinh(const tensor::tensor_Dense<float> &A,
346  tensor::tensor_Dense<float> &C);
363 void tan(const tensor::tensor_Dense<double> &A,
364  tensor::tensor_Dense<double> &C);
365 void tan(const tensor::tensor_Dense<float> &A, tensor::tensor_Dense<float> &C);
382 void tanh(const tensor::tensor_Dense<double> &A,
383  tensor::tensor_Dense<double> &C);
384 void tanh(const tensor::tensor_Dense<float> &A, tensor::tensor_Dense<float> &C);
401 void atan(const tensor::tensor_Dense<double> &A,
402  tensor::tensor_Dense<double> &C);
403 void atan(const tensor::tensor_Dense<float> &A, tensor::tensor_Dense<float> &C);
420 void atanh(const tensor::tensor_Dense<double> &A,
421  tensor::tensor_Dense<double> &C);
422 void atanh(const tensor::tensor_Dense<float> &A,
423  tensor::tensor_Dense<float> &C);
440 void ceil(const tensor::tensor_Dense<double> &A,
441  tensor::tensor_Dense<double> &C);
442 void ceil(const tensor::tensor_Dense<float> &A, tensor::tensor_Dense<float> &C);
459 void floor(const tensor::tensor_Dense<double> &A,
460  tensor::tensor_Dense<double> &C);
461 void floor(const tensor::tensor_Dense<float> &A,
462  tensor::tensor_Dense<float> &C);
479 void sign(const tensor::tensor_Dense<double> &A,
480  tensor::tensor_Dense<double> &C);
481 void sign(const tensor::tensor_Dense<float> &A, tensor::tensor_Dense<float> &C);
498 void exp(const tensor::tensor_Dense<double> &A,
499  tensor::tensor_Dense<double> &C);
500 void exp(const tensor::tensor_Dense<float> &A, tensor::tensor_Dense<float> &C);
521 void max(const tensor::tensor_Dense<double> &A,
522  const tensor::tensor_Dense<double> &B,
523  tensor::tensor_Dense<double> &C);
524 void max(const tensor::tensor_Dense<float> &A,
525  const tensor::tensor_Dense<float> &B, tensor::tensor_Dense<float> &C);
546 void min(const tensor::tensor_Dense<double> &A,
547  const tensor::tensor_Dense<double> &B,
548  tensor::tensor_Dense<double> &C);
549 void min(const tensor::tensor_Dense<float> &A,
550  const tensor::tensor_Dense<float> &B, tensor::tensor_Dense<float> &C);
571 void max(const tensor::tensor_Dense<double> &A, const double alpha,
572  tensor::tensor_Dense<double> &C);
573 void max(const tensor::tensor_Dense<float> &A, const float alpha,
574  tensor::tensor_Dense<float> &C);
595 void min(const tensor::tensor_Dense<double> &A, const double alpha,
596  tensor::tensor_Dense<double> &C);
597 void min(const tensor::tensor_Dense<float> &A, const float alpha,
598  tensor::tensor_Dense<float> &C);
615 [[nodiscard]] double max(const tensor::tensor_Dense<double> &C);
616 [[nodiscard]] float max(const tensor::tensor_Dense<float> &C);
633 [[nodiscard]] double min(const tensor::tensor_Dense<double> &C);
634 [[nodiscard]] float min(const tensor::tensor_Dense<float> &C);
655 void alo(const tensor::tensor_Dense<double> &A, const double alpha,
656  const double beta, tensor::tensor_Dense<double> &C);
657 void alo(const tensor::tensor_Dense<float> &A, const float alpha,
658  const float beta, tensor::tensor_Dense<float> &C);
677 void reciprocal(const tensor::tensor_Dense<double> &A,
678  tensor::tensor_Dense<double> &C);
679 void reciprocal(const tensor::tensor_Dense<float> &A,
680  tensor::tensor_Dense<float> &C);
683 } // namespace vml
684 } // namespace monolish
monolish::tensor::tensor_Dense
Definition: monolish_tensor_dense.hpp:11
monolish::vml::add
void add(const matrix::CRS< double > &A, const matrix::CRS< double > &B, matrix::CRS< double > &C)
element by element addition CRS matrix A and CRS matrix B.
monolish::vml::asin
void asin(const matrix::CRS< double > &A, matrix::CRS< double > &C)
asin to CRS matrix elements (C[0:nnz] = asin(A[0:nnz]))
monolish::vml::asinh
void asinh(const matrix::CRS< double > &A, matrix::CRS< double > &C)
asinh to CRS matrix elements (C[0:nnz] = asinh(A[0:nnz]))
monolish::vml::atan
void atan(const matrix::CRS< double > &A, matrix::CRS< double > &C)
atan to CRS matrix elements (C[0:nnz] = atan(A[0:nnz]))
monolish::vml::atanh
void atanh(const matrix::CRS< double > &A, matrix::CRS< double > &C)
atanh to CRS matrix elements (C[0:nnz] = atanh(A[0:nnz]))
monolish::vml::ceil
void ceil(const matrix::CRS< double > &A, matrix::CRS< double > &C)
ceil to CRS matrix elements (C[0:nnz] = ceil(A[0:nnz]))
monolish::vml::max
void max(const matrix::CRS< double > &A, const matrix::CRS< double > &B, matrix::CRS< double > &C)
Create a new CRS matrix with greatest elements of two matrices (C[0:nnz] = max(A[0:nnz],...
monolish::vml::min
void min(const matrix::CRS< double > &A, const matrix::CRS< double > &B, matrix::CRS< double > &C)
Create a new CRS matrix with smallest elements of two matrices (C[0:nnz] = min(A[0:nnz],...
monolish::vml::div
void div(const matrix::CRS< double > &A, const matrix::CRS< double > &B, matrix::CRS< double > &C)
element by element division CRS matrix A and CRS matrix B.
monolish::vml::floor
void floor(const matrix::CRS< double > &A, matrix::CRS< double > &C)
floor to CRS matrix elements (C[0:nnz] = floor(A[0:nnz]))
monolish::vml::mul
void mul(const matrix::CRS< double > &A, const matrix::CRS< double > &B, matrix::CRS< double > &C)
element by element multiplication CRS matrix A and CRS matrix B.
monolish::vml::pow
void pow(const matrix::CRS< double > &A, const matrix::CRS< double > &B, matrix::CRS< double > &C)
power to CRS matrix elements (C[0:N] = pow(A[0:N], B[0:N]))
monolish::vml::reciprocal
void reciprocal(const matrix::CRS< double > &A, matrix::CRS< double > &C)
reciprocal to CRS matrix elements (C[0:nnz] = 1 / A[0:nnz])
monolish::vml::sign
void sign(const matrix::CRS< double > &A, matrix::CRS< double > &C)
sign to CRS matrix elements (C[0:nnz] = sign(A[0:nnz]))
monolish::vml::sin
void sin(const matrix::CRS< double > &A, matrix::CRS< double > &C)
sin to CRS matrix elements (C[0:nnz] = sin(A[0:nnz]))
monolish::vml::sinh
void sinh(const matrix::CRS< double > &A, matrix::CRS< double > &C)
sinh to CRS matrix elements (C[0:nnz] = sinh(A[0:nnz]))
monolish::vml::sqrt
void sqrt(const matrix::CRS< double > &A, matrix::CRS< double > &C)
sqrt to CRS matrix elements (C[0:nnz] = sqrt(A[0:nnz]))
monolish::vml::sub
void sub(const matrix::CRS< double > &A, const matrix::CRS< double > &B, matrix::CRS< double > &C)
element by element subtract CRS matrix A and CRS matrix B.
monolish::vml::tan
void tan(const matrix::CRS< double > &A, matrix::CRS< double > &C)
tan to CRS matrix elements (C[0:nnz] = tan(A[0:nnz]))
monolish::vml::tanh
void tanh(const matrix::CRS< double > &A, matrix::CRS< double > &C)
tanh to CRS matrix elements (C[0:nnz] = tanh(A[0:nnz]))
monolish::vml::exp
void exp(const matrix::Dense< double > &A, matrix::Dense< double > &C)
exp to Dense matrix elements (C[0:nnz] = exp(A[0:nnz]))
monolish::vml::alo
void alo(const matrix::CRS< double > &A, const double alpha, const double beta, matrix::CRS< double > &C)
Asymmetric linear operation to CRS matrix elements (C[0:nnz] = alpha max(A[0:nnz],...
monolish
monolish namespaces
Definition: monolish_matrix_blas.hpp:5
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