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stan::math::rsqrt_< T > Class Template Reference

Detailed Description

template<typename T>
class stan::math::rsqrt_< T >

Definition at line 260 of file elt_function_cl.hpp.

#include <elt_function_cl.hpp>

+ Inheritance diagram for stan::math::rsqrt_< T >:

Public Types

using Scalar = double
 
using Deriv = Derived
 
using ArgsTuple = std::tuple< Args... >
 
using view_transitivity = std::tuple< std::is_same< Args, void >... >
 

Public Member Functions

 rsqrt_ (T &&a)
 
auto deep_copy () const
 
std::pair< int, int > extreme_diagonals () const
 
kernel_parts generate (const std::string &row_index_name, const std::string &col_index_name, const bool view_handled, std::conditional_t< false, T, const std::string & >... var_names_arg) const
 Generates kernel code for this expression.
 
kernel_parts generate (const std::string &row_index_name, const std::string &col_index_name, const bool view_handled, const std::string &var_name_arg) const
 Generates kernel code for this expression.
 
Derived & derived ()
 Casts the instance into its derived type.
 
const Derived & derived () const
 Casts the instance into its derived type.
 
template<size_t N>
const auto & get_arg () const
 Returns an argument to this operation.
 
matrix_cl< Scalareval () const
 Evaluates the expression.
 
template<typename T_lhs >
void evaluate_into (T_lhs &lhs) const
 Evaluates this expression into given left-hand-side expression.
 
template<typename T_lhs >
std::string get_kernel_source_for_evaluating_into (const T_lhs &lhs) const
 Generates kernel source for evaluating this expression into given left-hand-side expression.
 
template<typename T_result >
kernel_parts get_whole_kernel_parts (std::unordered_map< const void *, const char * > &generated, std::unordered_map< const void *, const char * > &generated_all, name_generator &ng, const std::string &row_index_name, const std::string &col_index_name, const T_result &result) const
 Generates kernel code for assigning this expression into result expression.
 
kernel_parts get_kernel_parts (std::unordered_map< const void *, const char * > &generated, std::unordered_map< const void *, const char * > &generated_all, name_generator &name_gen, const std::string &row_index_name, const std::string &col_index_name, bool view_handled) const
 Generates kernel code for this and nested expressions.
 
void modify_argument_indices (std::string &row_index_name, std::string &col_index_name) const
 Does nothing.
 
void set_args (std::unordered_map< const void *, const char * > &generated, std::unordered_map< const void *, const char * > &generated_all, cl::Kernel &kernel, int &arg_num) const
 Sets kernel arguments for nested expressions.
 
void add_read_event (cl::Event &e) const
 Adds read event to any matrices used by nested expressions.
 
void get_write_events (std::vector< cl::Event > &events) const
 Adds all write events on any matrices used by nested expressions to a list.
 
int rows () const
 Number of rows of a matrix that would be the result of evaluating this expression.
 
int cols () const
 Number of columns of a matrix that would be the result of evaluating this expression.
 
int size () const
 Size of a matrix that would be the result of evaluating this expression.
 
int thread_rows () const
 Number of rows threads need to be launched for.
 
int thread_cols () const
 Number of columns threads need to be launched for.
 
matrix_cl_view view () const
 View of a matrix that would be the result of evaluating this expression.
 
void get_unique_matrix_accesses (std::vector< int > &uids, std::unordered_map< const void *, int > &id_map, int &next_id) const
 Collects data that is needed beside types to uniqly identify a kernel generator expression.
 

Public Attributes

std::string var_name_
 

Static Public Attributes

static const std::vector< const char * > includes {}
 
static const bool require_specific_local_size
 
static constexpr int N = sizeof...(Args)
 
static constexpr int dynamic = -1
 

Protected Attributes

std::string fun_
 
std::tuple< Args... > arguments_
 

Private Types

using base = elt_function_cl< rsqrt_< T >, double, T >
 

The documentation for this class was generated from the following file: