device/tensor_foreach.h
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#pragma once
#include <stdexcept>
#include "cutlass/cutlass.h"
#include "cutlass/util/reference/device/kernel/tensor_foreach.h"
namespace cutlass {
namespace reference {
namespace device {
template <typename Func, int Rank, typename Params>
struct TensorForEach {
TensorForEach(Coord<Rank> size, Params params = Params(), int grid_size = 0, int block_size = 0) {
if (!grid_size || !block_size) {
// if grid_size or block_size are zero, query occupancy using the CUDA Occupancy API
cudaError_t result = cudaOccupancyMaxPotentialBlockSize(
&grid_size,
&block_size,
reinterpret_cast<void const *>(kernel::TensorForEach<Func, Rank, Params>));
if (result != cudaSuccess) {
throw std::runtime_error("Failed to query occupancy.");
}
// Limit block size. This has the effect of increasing the number of items processed by a
// single thread and reduces the impact of initialization overhead.
block_size = (block_size < 128 ? block_size : 128);
}
dim3 grid(grid_size, 1, 1);
dim3 block(block_size, 1, 1);
kernel::TensorForEach<Func, Rank, Params><<< grid, block >>>(size, params);
}
};
template <typename Func, int Rank, typename Params>
struct TensorDiagonalForEach {
TensorDiagonalForEach(Coord<Rank> size, Params params = Params(), int start = 0, int end = -1, int block_size = 128) {
if (end < 0) {
end = size.min();
}
dim3 block(block_size, 1, 1);
dim3 grid((end - start + block_size - 1) / block_size, 1, 1);
kernel::TensorDiagonalForEach<Func, Rank, Params><<< grid, block >>>(size, params, start, end);
}
};
template <typename Element, typename Func>
struct BlockForEach {
BlockForEach(
Element *ptr,
size_t capacity,
typename Func::Params params = typename Func::Params(),
int grid_size = 0,
int block_size = 0) {
if (!grid_size || !block_size) {
// if grid_size or block_size are zero, query occupancy using the CUDA Occupancy API
cudaError_t result = cudaOccupancyMaxPotentialBlockSize(
&grid_size,
&block_size,
reinterpret_cast<void const *>(kernel::BlockForEach<Element, Func>));
if (result != cudaSuccess) {
throw std::runtime_error("Failed to query occupancy.");
}
// Limit block size. This has the effect of increasing the number of items processed by a
// single thread and reduces the impact of initialization overhead.
block_size = (block_size < 128 ? block_size : 128);
}
dim3 grid(grid_size, 1, 1);
dim3 block(block_size, 1, 1);
kernel::BlockForEach<Element, Func><<< grid, block >>>(ptr, capacity, params);
}
};
} // namespace device
} // namespace reference
} // namespace cutlass
cutlass
Definition: aligned_buffer.h:35
cutlass::reference::device::TensorDiagonalForEach::TensorDiagonalForEach
TensorDiagonalForEach(Coord< Rank > size, Params params=Params(), int start=0, int end=-1, int block_size=128)
Constructor performs the operation.
Definition: device/tensor_foreach.h:75
cutlass::reference::device::TensorForEach::TensorForEach
TensorForEach(Coord< Rank > size, Params params=Params(), int grid_size=0, int block_size=0)
Constructor performs the operation.
Definition: device/tensor_foreach.h:42
cutlass::reference::device::TensorDiagonalForEach
Launches a kernel calling a functor for each element along a tensor&#39;s diagonal.
Definition: device/tensor_foreach.h:72
cutlass::reference::device::BlockForEach::BlockForEach
BlockForEach(Element *ptr, size_t capacity, typename Func::Params params=typename Func::Params(), int grid_size=0, int block_size=0)
Constructor performs the operation.
Definition: device/tensor_foreach.h:95
cutlass::reference::device::TensorForEach
Launches a kernel calling a functor for each element in a tensor&#39;s index space.
Definition: device/tensor_foreach.h:39
cutlass::Coord
Statically-sized array specifying Coords within a tensor.
Definition: coord.h:43
cutlass::reference::device::BlockForEach
Definition: device/tensor_foreach.h:92
tensor_foreach.h
cutlass.h
Basic include for CUTLASS.