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#include "THCTensorMath.h"
#include "THCGeneral.h"
#include "THCApply.cuh"
// Compute the offsets into the given tensors for a linear index. For the 't2'
// tensor, dimension 'dim' is skipped. The tensors are assumed to have the same
// size (with the exception of 't2' in dimension 'dim').
// This version uses a static number of dimensions.
template <typename IndexType, typename Real, int Dims>
struct IndexToScatterGatherOffsets {
static __device__ void compute(
IndexType linearId, const int dim,
const TensorInfo<long, IndexType>& index, IndexType* indexOffset,
const TensorInfo<Real, IndexType>& t1, IndexType* t1Offset,
const TensorInfo<Real, IndexType>& t2, IndexType* t2Offset) {
for (int d = Dims - 1; d >= 0; d--) {
IndexType curDimIndex = linearId % index.sizes[d];
*indexOffset += curDimIndex * index.strides[d];
*t1Offset += curDimIndex * t1.strides[d];
if (d != dim) {
*t2Offset += curDimIndex * t2.strides[d];
}
linearId /= index.sizes[d];
}
}
static __device__ void compute(
IndexType linearId, const int dim,
const TensorInfo<long, IndexType>& index, IndexType* indexOffset,
const TensorInfo<Real, IndexType>& t2, IndexType* t2Offset) {
for (int d = Dims - 1; d >= 0; d--) {
IndexType curDimIndex = linearId % index.sizes[d];
*indexOffset += curDimIndex * index.strides[d];
if (d != dim) {
*t2Offset += curDimIndex * t2.strides[d];
}
linearId /= index.sizes[d];
}
}
};
// Same as above but using a dynamic number of dimensions.
template <typename IndexType, typename Real>
struct IndexToScatterGatherOffsets<IndexType, Real, -1> {
static __device__ void compute(
IndexType linearId, const int dim,
const TensorInfo<long, IndexType>& index, IndexType* indexOffset,
const TensorInfo<Real, IndexType>& t1, IndexType* t1Offset,
const TensorInfo<Real, IndexType>& t2, IndexType* t2Offset) {
for (int d = index.dims - 1; d >= 0; d--) {
IndexType curDimIndex = linearId % index.sizes[d];
*indexOffset += curDimIndex * index.strides[d];
*t1Offset += curDimIndex * t1.strides[d];
if (d != dim) {
*t2Offset += curDimIndex * t2.strides[d];
}
linearId /= index.sizes[d];
}
}
static __device__ void compute(
IndexType linearId, const int dim,
const TensorInfo<long, IndexType>& index, IndexType* indexOffset,
const TensorInfo<Real, IndexType>& t2, IndexType* t2Offset) {
for (int d = index.dims - 1; d >= 0; d--) {
IndexType curDimIndex = linearId % index.sizes[d];
*indexOffset += curDimIndex * index.strides[d];
if (d != dim) {
*t2Offset += curDimIndex * t2.strides[d];
}
linearId /= index.sizes[d];
}
}
};
template <typename IndexType, typename Real, int Dims>
__global__ void THCudaTensor_gatherKernel(
TensorInfo<Real, IndexType> tensor,
TensorInfo<Real, IndexType> src,
TensorInfo<long, IndexType> index,
const int dim,
const IndexType totalElements) {
for (IndexType linearId = blockIdx.x * blockDim.x + threadIdx.x;
linearId < totalElements;
linearId += gridDim.x * blockDim.x) {
IndexType tensorOffset = 0;
IndexType srcOffset = 0;
IndexType indexOffset = 0;
IndexToScatterGatherOffsets<IndexType, Real, Dims>::compute(linearId, dim,
index, &indexOffset,
tensor, &tensorOffset,
src, &srcOffset);
IndexType indexValue = (IndexType)index.data[indexOffset] - TH_INDEX_BASE;
srcOffset += indexValue * src.strides[dim];
tensor.data[tensorOffset] = src.data[srcOffset];
}
}
template <typename IndexType, typename Real, int Dims>
__global__ void THCudaTensor_scatterKernel(
TensorInfo<Real, IndexType> tensor,
TensorInfo<Real, IndexType> src,
TensorInfo<long, IndexType> index,
const int dim,
const IndexType totalElements) {
for (IndexType linearId = blockIdx.x * blockDim.x + threadIdx.x;
linearId < totalElements;
linearId += gridDim.x * blockDim.x) {
IndexType tensorOffset = 0;
IndexType srcOffset = 0;
IndexType indexOffset = 0;
IndexToScatterGatherOffsets<IndexType, Real, Dims>::compute(linearId, dim,
index, &indexOffset,
src, &srcOffset,
tensor, &tensorOffset);
IndexType indexValue = (IndexType)index.data[indexOffset] - TH_INDEX_BASE;
tensorOffset += indexValue * tensor.strides[dim];
tensor.data[tensorOffset] = src.data[srcOffset];
}
}
template <typename IndexType, typename Real, int Dims>
__global__ void THCudaTensor_scatterFillKernel(
TensorInfo<Real, IndexType> tensor,
TensorInfo<long, IndexType> index,
Real value,
const int dim,
const IndexType totalElements) {
for (IndexType linearId = blockIdx.x * blockDim.x + threadIdx.x;
linearId < totalElements;
linearId += gridDim.x * blockDim.x) {
IndexType tensorOffset = 0;
IndexType indexOffset = 0;
IndexToScatterGatherOffsets<IndexType, Real, Dims>::compute(linearId, dim,
index, &indexOffset,
tensor, &tensorOffset);
IndexType indexValue = (IndexType)index.data[indexOffset] - TH_INDEX_BASE;
tensorOffset += indexValue * tensor.strides[dim];
tensor.data[tensorOffset] = value;
}
}
#include "generic/THCTensorScatterGather.cu"
#include "THCGenerateAllTypes.h"
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