device/kernel/tensor_foreach.h
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#pragma once
#include "cutlass/cutlass.h"
#include "cutlass/coord.h"
namespace cutlass {
namespace reference {
namespace device {
namespace kernel {
namespace detail {
template <typename Func, int Rank, int RankRemaining>
struct TensorForEachHelper {
__inline__ __device__
TensorForEachHelper(Func &func, Coord<Rank> const &size, Coord<Rank> &coord, int64_t index) {
int64_t product = 1;
CUTLASS_PRAGMA_UNROLL
for (int i = Rank - RankRemaining; i < Rank; ++i) {
product *= size[i];
}
coord[Rank - 1 - RankRemaining] = index / product;
int64_t remaining = index % product;
TensorForEachHelper<Func, Rank, RankRemaining-1>(func, size, coord, remaining);
}
};
template <typename Func, int Rank>
struct TensorForEachHelper<Func, Rank, 0> {
__inline__ __device__
TensorForEachHelper(Func &func, Coord<Rank> const &size, Coord<Rank> &coord, int64_t index) {
coord[Rank - 1] = index;
if (coord < size) {
func(coord);
}
}
};
} // namespace detail
template <typename Func, int Rank, typename Params>
__global__ void TensorForEach(Coord<Rank> size, Params params = Params()) {
Func func(params);
int64_t index = threadIdx.x + blockIdx.x * blockDim.x;
int64_t max_index = 1;
CUTLASS_PRAGMA_UNROLL
for (int i = 0; i < Rank; ++i) {
max_index *= size[i];
}
CUTLASS_PRAGMA_NO_UNROLL
while (index < max_index) {
Coord<Rank> coord;
detail::TensorForEachHelper<Func, Rank, Rank - 1>(func, size, coord, index);
index += blockDim.x * gridDim.x;
}
}
template <typename Func, int Rank, typename Params>
__global__ void TensorDiagonalForEach(Coord<Rank> size, Params params, int start, int end) {
Func func(params);
int64_t index = threadIdx.x + blockIdx.x * blockDim.x + start;
if (index < end) {
Coord<Rank> coord;
CUTLASS_PRAGMA_UNROLL
for (int i = 0; i < Rank; ++i) {
coord[i] = index;
}
func(coord);
}
}
template <typename Element, typename Func>
__global__ void BlockForEach(
Element *ptr,
size_t capacity,
typename Func::Params params) {
Func func(params);
size_t index = threadIdx.x + blockIdx.x * blockDim.x;
for (; index < capacity; index += blockDim.x * gridDim.x) {
ptr[index] = func();
}
}
} // namespace kernel
} // namespace device
} // namespace reference
} // namespace cutlass
cutlass
Definition: aligned_buffer.h:35
coord.h
A Coord is a coordinate of arbitrary rank into a tensor or matrix.
cutlass::reference::device::kernel::detail::TensorForEachHelper< Func, Rank, 0 >::TensorForEachHelper
__inline__ __device__ TensorForEachHelper(Func &func, Coord< Rank > const &size, Coord< Rank > &coord, int64_t index)
Constructor for fastest chaning rank.
Definition: device/kernel/tensor_foreach.h:69
CUTLASS_PRAGMA_UNROLL
#define CUTLASS_PRAGMA_UNROLL
Definition: cutlass.h:110
cutlass::reference::device::kernel::BlockForEach
__global__ void BlockForEach(Element *ptr, size_t capacity, typename Func::Params params)
Definition: device/kernel/tensor_foreach.h:131
CUTLASS_PRAGMA_NO_UNROLL
#define CUTLASS_PRAGMA_NO_UNROLL
Definition: cutlass.h:111
cutlass::Coord
Statically-sized array specifying Coords within a tensor.
Definition: coord.h:43
cutlass::reference::device::kernel::detail::TensorForEachHelper::TensorForEachHelper
__inline__ __device__ TensorForEachHelper(Func &func, Coord< Rank > const &size, Coord< Rank > &coord, int64_t index)
Constructor for general rank.
Definition: device/kernel/tensor_foreach.h:47
cutlass::reference::device::kernel::TensorDiagonalForEach
__global__ void TensorDiagonalForEach(Coord< Rank > size, Params params, int start, int end)
Kernel calls a functor for each element along a tensor&#39;s diagonal.
Definition: device/kernel/tensor_foreach.h:110
cutlass::reference::device::kernel::TensorForEach
__global__ void TensorForEach(Coord< Rank > size, Params params=Params())
Kernel calls a functor for each element in a tensor&#39;s index space.
Definition: device/kernel/tensor_foreach.h:85
cutlass::reference::device::kernel::detail::TensorForEachHelper
Helper to perform for-each operation.
Definition: device/kernel/tensor_foreach.h:43
cutlass.h
Basic include for CUTLASS.