Stan Math Library  2.20.0
reverse mode automatic differentiation
check_nan.hpp
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1 #ifndef STAN_MATH_OPENCL_KERNELS_CHECK_NAN_HPP
2 #define STAN_MATH_OPENCL_KERNELS_CHECK_NAN_HPP
3 #ifdef STAN_OPENCL
4 
7 
8 namespace stan {
9 namespace math {
10 namespace opencl_kernels {
11 // \cond
12 static const char *is_nan_kernel_code = STRINGIFY(
13  // \endcond
26  __kernel void is_nan(__global double *A, __global int *flag,
27  unsigned int rows, unsigned int cols) {
28  const int i = get_global_id(0);
29  const int j = get_global_id(1);
30  if (i < rows && j < cols) {
31  if (isnan(A(i, j))) {
32  flag[0] = 1;
33  }
34  }
35  }
36  // \cond
37 );
38 // \endcond
39 
44  "is_nan", {indexing_helpers, is_nan_kernel_code});
45 
46 } // namespace opencl_kernels
47 } // namespace math
48 } // namespace stan
49 #endif
50 #endif
int rows(const Eigen::Matrix< T, R, C > &m)
Return the number of rows in the specified matrix, vector, or row vector.
Definition: rows.hpp:20
#define STRINGIFY(src)
Definition: kernel_cl.hpp:22
__kernel void is_nan(__global double *A, __global int *flag, unsigned int rows, unsigned int cols)
Check if the matrix_cl has NaN values.
Definition: check_nan.hpp:26
static const char * indexing_helpers
Definition: helpers.hpp:14
int isnan(const stan::math::var &a)
Checks if the given number is NaN.
Definition: std_isnan.hpp:18
const kernel_cl< in_buffer, out_buffer, int, int > check_nan("is_nan", {indexing_helpers, is_nan_kernel_code})
See the docs for is_nan() .
int cols(const Eigen::Matrix< T, R, C > &m)
Return the number of columns in the specified matrix, vector, or row vector.
Definition: cols.hpp:20
Creates functor for kernels.
Definition: kernel_cl.hpp:201

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