reduce_row.h File Reference

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Functions
template<typename T , typename U , typename Op , int N_READS = REDUCE_N_READS, int N_WRITES = REDUCE_N_WRITES>
METAL_FUNC void	per_thread_row_reduce (thread U totals[N_WRITES], const device T *inputs[N_WRITES], int blocks, int extra, uint lsize_x, uint lid_x)
	The thread group collaboratively reduces across the rows with bounds checking.
template<typename T , typename U , typename Op , int N_READS = REDUCE_N_READS, int N_WRITES = REDUCE_N_WRITES>
METAL_FUNC void	per_thread_row_reduce (thread U totals[N_WRITES], const device T *in, const constant size_t &reduction_size, int blocks, int extra, uint lsize_x, uint lid_x)
	Consecutive rows in a contiguous array.
template<typename T , typename U , typename Op , int N_READS = REDUCE_N_READS, int N_WRITES = REDUCE_N_WRITES>
METAL_FUNC void	per_thread_row_reduce (thread U totals[N_WRITES], const device T *in, const size_t row_idx, int blocks, int extra, const constant int *shape, const constant size_t *strides, const constant int &ndim, uint lsize_x, uint lid_x)
	Consecutive rows in an arbitrarily ordered array.
template<typename T , typename U , typename Op , int N_READS = REDUCE_N_READS, int N_WRITES = REDUCE_N_WRITES>
METAL_FUNC void	threadgroup_reduce (thread U totals[N_WRITES], threadgroup U *shared_vals, uint3 lid, uint simd_lane_id, uint simd_per_group, uint simd_group_id)
	Reduce within the threadgroup.
template<typename T , typename U , typename Op , int N_READS = REDUCE_N_READS>
METAL_FUNC void	thread_reduce (thread U &total, const device T *row, int blocks, int extra)
template<typename T , typename U , typename Op , int NDIMS = 0, int N_READS = REDUCE_N_READS>
void	row_reduce_small (const device T *in, device U *out, const constant size_t &row_size, const constant size_t &non_row_reductions, const constant int *shape, const constant size_t *strides, const constant int &ndim, const constant int *reduce_shape, const constant size_t *reduce_strides, const constant int &reduce_ndim, uint simd_lane_id, uint3 gid, uint3 gsize, uint3 tid, uint3 tsize)
template<typename T , typename U , typename Op , int N_READS = REDUCE_N_READS, int N_WRITES = REDUCE_N_WRITES>
void	row_reduce_simple (const device T *in, device U *out, const constant size_t &reduction_size, const constant size_t &out_size, uint3 gid, uint3 gsize, uint3 lid, uint3 lsize, uint simd_lane_id, uint simd_per_group, uint simd_group_id)
template<typename T , typename U , typename Op , int NDIMS = 0, int N_READS = REDUCE_N_READS>
void	row_reduce_looped (const device T *in, device U *out, const constant size_t &row_size, const constant size_t &non_row_reductions, const constant int *shape, const constant size_t *strides, const constant int &ndim, const constant int *reduce_shape, const constant size_t *reduce_strides, const constant int &reduce_ndim, uint3 gid, uint3 gsize, uint3 lid, uint3 lsize, uint simd_lane_id, uint simd_per_group, uint simd_group_id)

Function Documentation

per_thread_row_reduce() [1/3]

template<typename T , typename U , typename Op , int N_READS = REDUCE_N_READS, int N_WRITES = REDUCE_N_WRITES>

METAL_FUNC void per_thread_row_reduce	(	thread U	totals[N_WRITES],
		const device T *	in,
		const constant size_t &	reduction_size,
		int	blocks,
		int	extra,
		uint	lsize_x,
		uint	lid_x )

Consecutive rows in a contiguous array.

per_thread_row_reduce() [2/3]

template<typename T , typename U , typename Op , int N_READS = REDUCE_N_READS, int N_WRITES = REDUCE_N_WRITES>

METAL_FUNC void per_thread_row_reduce	(	thread U	totals[N_WRITES],
		const device T *	in,
		const size_t	row_idx,
		int	blocks,
		int	extra,
		const constant int *	shape,
		const constant size_t *	strides,
		const constant int &	ndim,
		uint	lsize_x,
		uint	lid_x )

Consecutive rows in an arbitrarily ordered array.

per_thread_row_reduce() [3/3]

template<typename T , typename U , typename Op , int N_READS = REDUCE_N_READS, int N_WRITES = REDUCE_N_WRITES>

METAL_FUNC void per_thread_row_reduce	(	thread U	totals[N_WRITES],
		const device T *	inputs[N_WRITES],
		int	blocks,
		int	extra,
		uint	lsize_x,
		uint	lid_x )

The thread group collaboratively reduces across the rows with bounds checking.

In the end each thread holds a part of the reduction.

row_reduce_looped()

template<typename T , typename U , typename Op , int NDIMS = 0, int N_READS = REDUCE_N_READS>

void row_reduce_looped	(	const device T *	in,
		device U *	out,
		const constant size_t &	row_size,
		const constant size_t &	non_row_reductions,
		const constant int *	shape,
		const constant size_t *	strides,
		const constant int &	ndim,
		const constant int *	reduce_shape,
		const constant size_t *	reduce_strides,
		const constant int &	reduce_ndim,
		uint3	gid,
		uint3	gsize,
		uint3	lid,
		uint3	lsize,
		uint	simd_lane_id,
		uint	simd_per_group,
		uint	simd_group_id )

row_reduce_simple()

template<typename T , typename U , typename Op , int N_READS = REDUCE_N_READS, int N_WRITES = REDUCE_N_WRITES>

void row_reduce_simple	(	const device T *	in,
		device U *	out,
		const constant size_t &	reduction_size,
		const constant size_t &	out_size,
		uint3	gid,
		uint3	gsize,
		uint3	lid,
		uint3	lsize,
		uint	simd_lane_id,
		uint	simd_per_group,
		uint	simd_group_id )

row_reduce_small()

template<typename T , typename U , typename Op , int NDIMS = 0, int N_READS = REDUCE_N_READS>

void row_reduce_small	(	const device T *	in,
		device U *	out,
		const constant size_t &	row_size,
		const constant size_t &	non_row_reductions,
		const constant int *	shape,
		const constant size_t *	strides,
		const constant int &	ndim,
		const constant int *	reduce_shape,
		const constant size_t *	reduce_strides,
		const constant int &	reduce_ndim,
		uint	simd_lane_id,
		uint3	gid,
		uint3	gsize,
		uint3	tid,
		uint3	tsize )

thread_reduce()

template<typename T , typename U , typename Op , int N_READS = REDUCE_N_READS>

METAL_FUNC void thread_reduce	(	thread U &	total,
		const device T *	row,
		int	blocks,
		int	extra )

threadgroup_reduce()

template<typename T , typename U , typename Op , int N_READS = REDUCE_N_READS, int N_WRITES = REDUCE_N_WRITES>

METAL_FUNC void threadgroup_reduce	(	thread U	totals[N_WRITES],
		threadgroup U *	shared_vals,
		uint3	lid,
		uint	simd_lane_id,
		uint	simd_per_group,
		uint	simd_group_id )

Reduce within the threadgroup.