#include <stan/math/opencl/kernel_cl.hpp>
#include <string>

Namespaces
namespace	stan
	The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation from C or the boost::math::lgamma implementation.

namespace	stan::math
	Matrices and templated mathematical functions.

namespace	stan::math::opencl_kernels

Functions
__kernel void	stan::math::opencl_kernels::categorical_logit_glm (__global double logp_global, __global double exp_lin_global, __global double inv_sum_exp_lin_global, __global double neg_softmax_lin_global, __global double alpha_derivative, const __global int y_global, const __global double x_beta_global, const __global double alpha_global, const int N_instances, const int N_attributes, const int N_classes, const int is_y_vector, const int need_alpha_derivative, const int need_neg_softmax_lin_global)
	GPU implementation of Generalized Linear Model (GLM) with categorical distribution and logit (softmax) link function.

__kernel void	stan::math::opencl_kernels::categorical_logit_glm_beta_derivative (__global double beta_derivative, __global double temp, const __global int y, const __global double x, const int N_instances, const int N_attributes, const int N_classes, const int is_y_vector)
	Calculates derivative wrt beta.

Variables
const kernel_cl< out_buffer, out_buffer, out_buffer, out_buffer, out_buffer, in_buffer, in_buffer, in_buffer, int, int, int, int, int, int >	stan::math::opencl_kernels::categorical_logit_glm ("categorical_logit_glm", {categorical_logit_glm_kernel_code}, {{"REDUCTION_STEP_SIZE", 4}, {"LOCAL_SIZE_", 64}})
	See the docs for categorical_logit_glm() .

const kernel_cl< in_out_buffer, in_out_buffer, in_buffer, in_buffer, int, int, int, int >	stan::math::opencl_kernels::categorical_logit_glm_beta_derivative ("categorical_logit_glm_beta_derivative", {categorical_logit_glm_beta_derivative_kernel_code})
	See the docs for categorical_logit_glm_beta_derivative() .

Namespaces

Functions