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#ifndef THC_GENERIC_FILE
#define THC_GENERIC_FILE "generic/THCTensorScatterGather.cu"
#else
#define RUN(TYPE, DIMS, REAL) \
THCudaTensor_gatherKernel<TYPE, REAL, DIMS> \
<<<grid, block, 0, THCState_getCurrentStream(state)>>>( \
tensorInfo, srcInfo, indexInfo, dim, (TYPE)totalElements);
void THCTensor_(gather)(THCState* state, THCTensor *tensor,
THCTensor *src, int dim, THCudaLongTensor *index) {
THAssert(THCTensor_(checkGPU)(state, 2, tensor, src));
THAssert(THCudaLongTensor_checkGPU(state, 1, index));
THArgCheck(THCTensor_(nDimension)(state, src) == THCTensor_(nDimension)(state, tensor), 2,
"Input tensor must have same dimensions as output tensor");
THArgCheck(dim >= 0 && dim < THCTensor_(nDimension)(state, tensor), 3,
"Index dimension is out of bounds");
THArgCheck(THCudaLongTensor_nDimension(state, index) == THCTensor_(nDimension)(state, src), 4,
"Index tensor must have same dimensions as input tensor");
THLongStorage *indexSize = THCudaLongTensor_newSizeOf(state, index);
THArgCheck(THCTensor_(isSize)(state, tensor, indexSize), 4,
"Index tensor must have the same size as output tensor.");
THLongStorage_free(indexSize);
for (int d = 0; d < THCTensor_(nDimension)(state, tensor); d++) {
if (d != dim) {
THArgCheck(THCTensor_(size)(state, tensor, d) == THCTensor_(size)(state, src, d), 2,
"Input tensor must have same size as output tensor apart from the specified dimension");
}
}
THArgCheck(THCTensor_(nDimension)(state, tensor) <= MAX_CUTORCH_DIMS,
1, CUTORCH_DIM_WARNING);
const long totalElements = THCudaLongTensor_nElement(state, index);
const dim3 block = getApplyBlock();
dim3 grid;
THArgCheck(getApplyGrid(state, totalElements, grid), 1, CUTORCH_DIM_WARNING);
THCTensor* oldTensor = NULL;
if (TensorUtils<THCTensor>::overlappingIndices(state, tensor)) {
oldTensor = tensor;
tensor = THCTensor_(newContiguous)(state, tensor);
}
if (TensorUtils<THCTensor>::canUse32BitIndexMath(state, tensor) &&
TensorUtils<THCTensor>::canUse32BitIndexMath(state, src) &&
TensorUtils<THCudaLongTensor>::canUse32BitIndexMath(state, index)) {
TensorInfo<real, unsigned int> tensorInfo =
getTensorInfo<THCTensor, unsigned int>(state, tensor);
TensorInfo<real, unsigned int> srcInfo =
getTensorInfo<THCTensor, unsigned int>(state, src);
TensorInfo<long, unsigned int> indexInfo =
getTensorInfo<THCudaLongTensor, unsigned int>(state, index);
// Specialize for a small number of dimensions.
switch (indexInfo.dims) {
case 1:
RUN(unsigned int, 1, real);
THCudaCheck(cudaGetLastError());
break;
case 2:
RUN(unsigned int, 2, real);
THCudaCheck(cudaGetLastError());
break;
case 3:
RUN(unsigned int, 3, real);
THCudaCheck(cudaGetLastError());
break;
default:
RUN(unsigned int, -1, real);
THCudaCheck(cudaGetLastError());
break;
}
} else {
TensorInfo<real, unsigned long> tensorInfo =
getTensorInfo<THCTensor, unsigned long>(state, tensor);
TensorInfo<real, unsigned long> srcInfo =
getTensorInfo<THCTensor, unsigned long>(state, src);
TensorInfo<long, unsigned long> indexInfo =
getTensorInfo<THCudaLongTensor, unsigned long>(state, index);
RUN(unsigned long, -1, real);
THCudaCheck(cudaGetLastError());
}
if (oldTensor) {
TensorUtils<THCTensor>::copyIgnoringOverlaps(state, oldTensor, tensor);
THCTensor_(free)(state, tensor);
tensor = oldTensor;
}
THCudaCheck(cudaGetLastError());
}
#undef RUN
#define RUN(TYPE, DIMS, REAL) \
THCudaTensor_scatterKernel<TYPE, REAL, DIMS> \
<<<grid, block, 0, THCState_getCurrentStream(state)>>>( \
tensorInfo, srcInfo, indexInfo, dim, (TYPE)totalElements);
void THCTensor_(scatter)(THCState* state, THCTensor *tensor, int dim, THCudaLongTensor *index, THCTensor *src) {
THAssert(THCTensor_(checkGPU)(state, 2, tensor, src));
THAssert(THCudaLongTensor_checkGPU(state, 1, index));
THArgCheck(dim >= 0 && dim < THCTensor_(nDimension)(state, tensor), 2,
"Index dimension is out of bounds");
THArgCheck(THCudaLongTensor_nDimension(state, index) == THCTensor_(nDimension)(state, src), 3,
"Index tensor must have same dimensions as input tensor");
THArgCheck(THCTensor_(nDimension)(state, src) == THCTensor_(nDimension)(state, tensor), 4,
"Input tensor must have same dimensions as output tensor");
THLongStorage *indexDims = THCudaLongTensor_newSizeOf(state, index);
THArgCheck(THCTensor_(isSize)(state, src, indexDims), 3,
"Index tensor must have the same size as input tensor.");
THLongStorage_free(indexDims);
for (int d = 0; d < THCTensor_(nDimension)(state, tensor); d++) {
if (d != dim) {
THArgCheck(THCTensor_(size)(state, tensor, d) == THCTensor_(size)(state, src, d), 4,
"Input tensor must have same size as output tensor apart from the specified dimension");
}
}
THArgCheck(THCTensor_(nDimension)(state, tensor) <= MAX_CUTORCH_DIMS,
1, CUTORCH_DIM_WARNING);
const long totalElements = THCudaLongTensor_nElement(state, index);
const dim3 block = getApplyBlock();
dim3 grid;
THArgCheck(getApplyGrid(state, totalElements, grid), 1, CUTORCH_DIM_WARNING);
THCTensor* oldTensor = NULL;
if (TensorUtils<THCTensor>::overlappingIndices(state, tensor)) {
oldTensor = tensor;
tensor = THCTensor_(newContiguous)(state, tensor);
}
if (TensorUtils<THCTensor>::canUse32BitIndexMath(state, tensor) &&
TensorUtils<THCTensor>::canUse32BitIndexMath(state, src) &&
TensorUtils<THCudaLongTensor>::canUse32BitIndexMath(state, index)) {
TensorInfo<real, unsigned int> tensorInfo =
getTensorInfo<THCTensor, unsigned int>(state, tensor);
TensorInfo<real, unsigned int> srcInfo =
getTensorInfo<THCTensor, unsigned int>(state, src);
TensorInfo<long, unsigned int> indexInfo =
getTensorInfo<THCudaLongTensor, unsigned int>(state, index);
// Specialize for a small number of dimensions.
switch (indexInfo.dims) {
case 1:
RUN(unsigned int, 1, real);
break;
case 2:
RUN(unsigned int, 2, real);
break;
case 3:
RUN(unsigned int, 3, real);
break;
default:
RUN(unsigned int, -1, real);
break;
}
} else {
TensorInfo<real, unsigned long> tensorInfo =
getTensorInfo<THCTensor, unsigned long>(state, tensor);
TensorInfo<real, unsigned long> srcInfo =
getTensorInfo<THCTensor, unsigned long>(state, src);
TensorInfo<long, unsigned long> indexInfo =
getTensorInfo<THCudaLongTensor, unsigned long>(state, index);
RUN(unsigned long, -1, real)
}
if (oldTensor) {
TensorUtils<THCTensor>::copyIgnoringOverlaps(state, oldTensor, tensor);
THCTensor_(free)(state, tensor);
tensor = oldTensor;
}
THCudaCheck(cudaGetLastError());
}
#undef RUN
#define RUN(TYPE, DIMS, REAL) \
THCudaTensor_scatterFillKernel<TYPE, REAL, DIMS> \
<<<grid, block, 0, THCState_getCurrentStream(state)>>>( \
tensorInfo, indexInfo, value, dim, (TYPE)totalElements);
void
THCTensor_(scatterFill)(THCState* state, THCTensor *tensor,
int dim, THCudaLongTensor *index, real value) {
THAssert(THCTensor_(checkGPU)(state, 1, tensor));
THAssert(THCudaLongTensor_checkGPU(state, 1, index));
THArgCheck(dim >= 0 && dim < THCTensor_(nDimension)(state, tensor), 2,
"Index dimension is out of bounds");
THArgCheck(THCudaLongTensor_nDimension(state, index) ==
THCTensor_(nDimension)(state, tensor), 3,
"Index tensor must have same dimensions as output tensor");
for (int d = 0; d < THCTensor_(nDimension)(state, tensor); d++) {
if (d != dim) {
THArgCheck(THCTensor_(size)(state, tensor, d) ==
THCudaLongTensor_size(state, index, d), 4,
"Index tensor must have same size as output tensor apart from the specified dimension");
}
}
THArgCheck(THCTensor_(nDimension)(state, tensor) <= MAX_CUTORCH_DIMS,
1, CUTORCH_DIM_WARNING);
const long totalElements = THCudaLongTensor_nElement(state, index);
const dim3 block = getApplyBlock();
dim3 grid;
THArgCheck(getApplyGrid(state, totalElements, grid), 1, CUTORCH_DIM_WARNING);
THCTensor* oldTensor = NULL;
if (TensorUtils<THCTensor>::overlappingIndices(state, tensor)) {
oldTensor = tensor;
tensor = THCTensor_(newContiguous)(state, tensor);
}
if (TensorUtils<THCTensor>::canUse32BitIndexMath(state, tensor) &&
TensorUtils<THCudaLongTensor>::canUse32BitIndexMath(state, index)) {
TensorInfo<real, unsigned int> tensorInfo =
getTensorInfo<THCTensor, unsigned int>(state, tensor);
TensorInfo<long, unsigned int> indexInfo =
getTensorInfo<THCudaLongTensor, unsigned int>(state, index);
// Specialize for a small number of dimensions.
switch (indexInfo.dims) {
case 1:
RUN(unsigned int, 1, real);
break;
case 2:
RUN(unsigned int, 2, real);
break;
case 3:
RUN(unsigned int, 3, real);
break;
default:
RUN(unsigned int, -1, real);
break;
}
} else {
TensorInfo<real, unsigned long> tensorInfo =
getTensorInfo<THCTensor, unsigned long>(state, tensor);
TensorInfo<long, unsigned long> indexInfo =
getTensorInfo<THCudaLongTensor, unsigned long>(state, index);
RUN(unsigned long, -1, real);
}
if (oldTensor) {
TensorUtils<THCTensor>::copyIgnoringOverlaps(state, oldTensor, tensor);
THCTensor_(free)(state, tensor);
tensor = oldTensor;
}
THCudaCheck(cudaGetLastError());
}
#undef RUN
#endif
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