#ifndef TH_TENSOR_DIM_APPLY_INC #define TH_TENSOR_DIM_APPLY_INC // This is an example of SIZE_CHECK argument passable to TH_TENSOR_DIM_APPLY3. // The TENSOR1, TENSOR2, TENSOR3, DIMENSION will be expanded the same way as // TH_TENSOR_DIM_APPLY3. // Specifically, this check ensures that TENSOR1, TENSOR2, TENSOR3 have same // size except for DIMENSION. #define TH_TENSOR_DIM_APPLY3_SIZE_EQ_EXCEPT_DIM(TENSOR1, TENSOR2, TENSOR3, DIMENSION) \ { \ int shape_check_flag = 0; \ for(TH_TENSOR_DIM_APPLY_i = 0; TH_TENSOR_DIM_APPLY_i < THTensor_nDimensionLegacyNoScalars(TENSOR1); TH_TENSOR_DIM_APPLY_i++) \ { \ if (TH_TENSOR_DIM_APPLY_i == DIMENSION) \ continue; \ if (TENSOR1->size(TH_TENSOR_DIM_APPLY_i) != TENSOR2->size(TH_TENSOR_DIM_APPLY_i)) { \ shape_check_flag = 1; \ break; \ } \ if(TENSOR1->size(TH_TENSOR_DIM_APPLY_i) != TENSOR3->size(TH_TENSOR_DIM_APPLY_i)) { \ shape_check_flag = 1; \ break; \ } \ } \ if (shape_check_flag == 1) { \ AT_ERROR("Expected ", #TENSOR1, " ", TENSOR1->sizes(), ", ", #TENSOR2, " ", TENSOR2->sizes(), " and ", #TENSOR3, " ", TENSOR3->sizes(), " to have the same size apart from dimension ", DIMENSION); \ } \ } #define TH_TENSOR_DIM_APPLY3(TYPE1, TENSOR1, TYPE2, TENSOR2, TYPE3, TENSOR3, DIMENSION, SIZE_CHECK, CODE) \ { \ TYPE1 *TENSOR1##_data = NULL; \ TH_UNUSED int64_t TENSOR1##_stride = 0, TENSOR1##_size = 0; \ TYPE2 *TENSOR2##_data = NULL; \ TH_UNUSED int64_t TENSOR2##_stride = 0, TENSOR2##_size = 0; \ TYPE3 *TENSOR3##_data = NULL; \ TH_UNUSED int64_t TENSOR3##_stride = 0, TENSOR3##_size = 0; \ int64_t *TH_TENSOR_DIM_APPLY_counter = NULL; \ int TH_TENSOR_DIM_APPLY_hasFinished = THTensor_(numel)(TENSOR1) == 0; \ int TH_TENSOR_DIM_APPLY_i; \ \ if( (DIMENSION < 0) || (DIMENSION >= THTensor_nDimensionLegacyNoScalars(TENSOR1)) ) \ THError("invalid dimension %d (expected to be 0 <= dim < %d)", DIMENSION, THTensor_nDimensionLegacyNoScalars(TENSOR1)); \ int same_dims = 1; \ if( THTensor_nDimensionLegacyNoScalars(TENSOR1) != THTensor_nDimensionLegacyNoScalars(TENSOR2) ) { \ same_dims = 0; \ } \ if( THTensor_nDimensionLegacyNoScalars(TENSOR1) != THTensor_nDimensionLegacyNoScalars(TENSOR3) ) { \ same_dims = 0; \ } \ if (same_dims == 0) { \ AT_ERROR("inconsistent tensor size, expected ", #TENSOR1, " ", TENSOR1->sizes(), ", ", #TENSOR2, " ", TENSOR2->sizes(), " and ", #TENSOR3, " ",TENSOR3->sizes() , " to have the same number of dimensions"); \ } \ SIZE_CHECK(TENSOR1, TENSOR2, TENSOR3, DIMENSION) \ \ if (TH_TENSOR_DIM_APPLY_hasFinished) { \ return; \ } \ TH_TENSOR_DIM_APPLY_counter = (int64_t*)THAlloc(sizeof(int64_t)*(THTensor_nDimensionLegacyNoScalars(TENSOR1))); \ for(TH_TENSOR_DIM_APPLY_i = 0; TH_TENSOR_DIM_APPLY_i < THTensor_nDimensionLegacyNoScalars(TENSOR1); TH_TENSOR_DIM_APPLY_i++) \ TH_TENSOR_DIM_APPLY_counter[TH_TENSOR_DIM_APPLY_i] = 0; \ \ TENSOR1##_data = THTensor_getStoragePtr(TENSOR1)->data()+(TENSOR1)->storage_offset(); \ TENSOR1##_stride = THTensor_strideLegacyNoScalars((TENSOR1), DIMENSION); \ TENSOR1##_size = THTensor_sizeLegacyNoScalars((TENSOR1), DIMENSION); \ \ TENSOR2##_data = THTensor_getStoragePtr(TENSOR2)->data()+(TENSOR2)->storage_offset(); \ TENSOR2##_stride = THTensor_strideLegacyNoScalars((TENSOR2), DIMENSION); \ TENSOR2##_size = THTensor_sizeLegacyNoScalars((TENSOR2), DIMENSION); \ \ TENSOR3##_data = THTensor_getStoragePtr(TENSOR3)->data()+(TENSOR3)->storage_offset(); \ TENSOR3##_stride = THTensor_strideLegacyNoScalars((TENSOR3), DIMENSION); \ TENSOR3##_size = THTensor_sizeLegacyNoScalars((TENSOR3), DIMENSION); \ \ while(!TH_TENSOR_DIM_APPLY_hasFinished) \ { \ CODE \ \ if(THTensor_nDimensionLegacyNoScalars(TENSOR1) == 1) \ break; \ \ for(TH_TENSOR_DIM_APPLY_i = 0; TH_TENSOR_DIM_APPLY_i < THTensor_nDimensionLegacyNoScalars(TENSOR1); TH_TENSOR_DIM_APPLY_i++) \ { \ if(TH_TENSOR_DIM_APPLY_i == DIMENSION) \ { \ if(TH_TENSOR_DIM_APPLY_i == THTensor_nDimensionLegacyNoScalars(TENSOR1)-1) \ { \ TH_TENSOR_DIM_APPLY_hasFinished = 1; \ break; \ } \ continue; \ } \ \ TH_TENSOR_DIM_APPLY_counter[TH_TENSOR_DIM_APPLY_i]++; \ TENSOR1##_data += THTensor_strideLegacyNoScalars(TENSOR1, TH_TENSOR_DIM_APPLY_i); \ TENSOR2##_data += THTensor_strideLegacyNoScalars(TENSOR2, TH_TENSOR_DIM_APPLY_i); \ TENSOR3##_data += THTensor_strideLegacyNoScalars(TENSOR3, TH_TENSOR_DIM_APPLY_i); \ \ if(TH_TENSOR_DIM_APPLY_counter[TH_TENSOR_DIM_APPLY_i] == THTensor_sizeLegacyNoScalars(TENSOR1, TH_TENSOR_DIM_APPLY_i)) \ { \ if(TH_TENSOR_DIM_APPLY_i == THTensor_nDimensionLegacyNoScalars(TENSOR1)-1) \ { \ TH_TENSOR_DIM_APPLY_hasFinished = 1; \ break; \ } \ else \ { \ TENSOR1##_data -= TH_TENSOR_DIM_APPLY_counter[TH_TENSOR_DIM_APPLY_i]*THTensor_strideLegacyNoScalars(TENSOR1, TH_TENSOR_DIM_APPLY_i); \ TENSOR2##_data -= TH_TENSOR_DIM_APPLY_counter[TH_TENSOR_DIM_APPLY_i]*THTensor_strideLegacyNoScalars(TENSOR2, TH_TENSOR_DIM_APPLY_i); \ TENSOR3##_data -= TH_TENSOR_DIM_APPLY_counter[TH_TENSOR_DIM_APPLY_i]*THTensor_strideLegacyNoScalars(TENSOR3, TH_TENSOR_DIM_APPLY_i); \ TH_TENSOR_DIM_APPLY_counter[TH_TENSOR_DIM_APPLY_i] = 0; \ } \ } \ else \ break; \ } \ } \ THFree(TH_TENSOR_DIM_APPLY_counter); \ } /** * Similar to DIM_APPLY(...) but we maintain two sets of pointers: one for the first tensor * and one for the second. The two tensors must have the same shape, other than at the * specified DIMENSION. This function makes it easy to store the output from reducing the * TENSOR at index. For example, in the sum example described below, we could instead do: * * int64_t i = 0; * TYPE1 sum; * * for (i = 0; i < TENSOR1##_size; ++i) { * sum += TENSOR1##_data[i * TENSOR1##_stride] * } * *TENSOR2##_data = (TYPE2) sum; * * In particular, we guarantee that the offset into TENSOR2 will be what you would get if * you applied all of the index values used to generate the offset into TENSOR1. */ #define TH_TENSOR_DIM_APPLY2(TYPE1, TENSOR1, TYPE2, TENSOR2, DIMENSION, CODE) \ { \ TYPE1 *TENSOR1##_data = NULL; \ TH_UNUSED int64_t TENSOR1##_stride = 0, TENSOR1##_size = 0; \ TYPE2 *TENSOR2##_data = NULL; \ TH_UNUSED int64_t TENSOR2##_stride = 0, TENSOR2##_size = 0; \ int64_t *TH_TENSOR_DIM_APPLY_counter = NULL; \ int TH_TENSOR_DIM_APPLY_hasFinished = THTensor_(numel)(TENSOR1) == 0; \ int TH_TENSOR_DIM_APPLY_i; \ \ if( (DIMENSION < 0) || (DIMENSION >= THTensor_nDimensionLegacyNoScalars(TENSOR1)) ) \ THError("invalid dimension %d (expected to be 0 <= dim < %d)", DIMENSION, THTensor_nDimensionLegacyAll(TENSOR1)); \ if( THTensor_nDimensionLegacyNoScalars(TENSOR1) != THTensor_nDimensionLegacyNoScalars(TENSOR2)) { \ AT_ERROR("inconsistent tensor size, expected ", #TENSOR1, " ", TENSOR1->sizes(), " and ", #TENSOR2, " ", TENSOR2->sizes(), " to have the same number of dimensions"); \ } \ TH_UNUSED int shape_check_flag = 0; \ for(TH_TENSOR_DIM_APPLY_i = 0; TH_TENSOR_DIM_APPLY_i < THTensor_nDimensionLegacyNoScalars(TENSOR1); TH_TENSOR_DIM_APPLY_i++) \ { \ if(TH_TENSOR_DIM_APPLY_i == DIMENSION) \ continue; \ if(THTensor_sizeLegacyNoScalars(TENSOR1, TH_TENSOR_DIM_APPLY_i) != THTensor_sizeLegacyNoScalars(TENSOR2, TH_TENSOR_DIM_APPLY_i)) { \ AT_ERROR("Expected ", #TENSOR1, " ", TENSOR1->sizes(), " and ", #TENSOR2, " ", TENSOR2->sizes(), " to have the same size in dimension ", DIMENSION); \ } \ } \ \ if (TH_TENSOR_DIM_APPLY_hasFinished) { \ return; \ } \ TH_TENSOR_DIM_APPLY_counter = (int64_t*)THAlloc(sizeof(int64_t)*(THTensor_nDimensionLegacyNoScalars(TENSOR1))); \ for(TH_TENSOR_DIM_APPLY_i = 0; TH_TENSOR_DIM_APPLY_i < THTensor_nDimensionLegacyNoScalars(TENSOR1); TH_TENSOR_DIM_APPLY_i++) \ TH_TENSOR_DIM_APPLY_counter[TH_TENSOR_DIM_APPLY_i] = 0; \ \ TENSOR1##_data = THTensor_getStoragePtr(TENSOR1)->data()+(TENSOR1)->storage_offset(); \ TENSOR1##_stride = THTensor_strideLegacyNoScalars((TENSOR1), DIMENSION); \ TENSOR1##_size = THTensor_sizeLegacyNoScalars(TENSOR1, DIMENSION); \ \ TENSOR2##_data = THTensor_getStoragePtr(TENSOR2)->data()+(TENSOR2)->storage_offset(); \ TENSOR2##_stride = THTensor_strideLegacyNoScalars((TENSOR2), DIMENSION); \ TENSOR2##_size = THTensor_sizeLegacyNoScalars(TENSOR2, DIMENSION); \ \ while(!TH_TENSOR_DIM_APPLY_hasFinished) \ { \ CODE \ \ if(THTensor_nDimensionLegacyNoScalars(TENSOR1) == 1) \ break; \ \ for(TH_TENSOR_DIM_APPLY_i = 0; TH_TENSOR_DIM_APPLY_i < THTensor_nDimensionLegacyNoScalars(TENSOR1); TH_TENSOR_DIM_APPLY_i++) \ { \ if(TH_TENSOR_DIM_APPLY_i == DIMENSION) \ { \ if(TH_TENSOR_DIM_APPLY_i == THTensor_nDimensionLegacyNoScalars(TENSOR1)-1) \ { \ TH_TENSOR_DIM_APPLY_hasFinished = 1; \ break; \ } \ continue; \ } \ \ TH_TENSOR_DIM_APPLY_counter[TH_TENSOR_DIM_APPLY_i]++; \ TENSOR1##_data += THTensor_strideLegacyNoScalars(TENSOR1, TH_TENSOR_DIM_APPLY_i); \ TENSOR2##_data += THTensor_strideLegacyNoScalars(TENSOR2, TH_TENSOR_DIM_APPLY_i); \ \ if(TH_TENSOR_DIM_APPLY_counter[TH_TENSOR_DIM_APPLY_i] == THTensor_sizeLegacyNoScalars(TENSOR1, TH_TENSOR_DIM_APPLY_i)) \ { \ if(TH_TENSOR_DIM_APPLY_i == THTensor_nDimensionLegacyNoScalars(TENSOR1)-1) \ { \ TH_TENSOR_DIM_APPLY_hasFinished = 1; \ break; \ } \ else \ { \ TENSOR1##_data -= TH_TENSOR_DIM_APPLY_counter[TH_TENSOR_DIM_APPLY_i]*THTensor_strideLegacyNoScalars(TENSOR1, TH_TENSOR_DIM_APPLY_i); \ TENSOR2##_data -= TH_TENSOR_DIM_APPLY_counter[TH_TENSOR_DIM_APPLY_i]*THTensor_strideLegacyNoScalars(TENSOR2, TH_TENSOR_DIM_APPLY_i); \ TH_TENSOR_DIM_APPLY_counter[TH_TENSOR_DIM_APPLY_i] = 0; \ } \ } \ else \ break; \ } \ } \ THFree(TH_TENSOR_DIM_APPLY_counter); \ } /** * The basic idea for DIM_APPLY: Given a TENSOR and a DIMENSION, provide access to the data stored * at all sets of dimension values other than DIMENSION, such that we can get all the values at those * fixed indices for the various values at DIMENSION. * * Suppose we have a 2x3x4 Tensor A, and we have DIMENSION=2. Then we will hit CODE (2x3) times, and the * pointer into storage will be at: * * A[0][0] * A[0][1] * A[0][2] * A[1][0] * A[1][1] * A[1][2] * * And at each point, we can access the data for each of the four elements of the Tensor via * TENSOR##_stride. So for example, if we wanted to sum the elements there, we could do: * * int64_t i = 0; * TYPE sum; * for (i = 0; i < TENSOR##_size; i++) { * sum += TENSOR##_data[i * TENSOR##_stride] * } * * Note that we don't have to have DIMENSION be the last tensor. If we have DIMENSION=1, then we will hit the * code (2x4) times, with pointer into the storage at: * * offset + * stride_0 * 0 + stride_2 * 0 * stride_0 * 1 + stride_2 * 0 * stride_0 * 0 + stride_2 * 1 * stride_0 * 1 + stride_2 * 1 * stride_0 * 0 + stride_2 * 2 * stride_0 * 1 + stride_2 * 2 * stride_0 * 0 + stride_2 * 3 * stride_0 * 1 + stride_2 * 3 * * So we can again sum over the values at DIMENSION with the other indices fixed. */ #define TH_TENSOR_DIM_APPLY(TYPE, TENSOR, DIMENSION, CODE) \ { \ TYPE *TENSOR##_data = NULL; \ int64_t TENSOR##_stride = 0, TENSOR##_size = 0; \ int64_t *TH_TENSOR_DIM_APPLY_counter = NULL; \ int TH_TENSOR_DIM_APPLY_hasFinished = 0; \ int TH_TENSOR_DIM_APPLY_i; \ \ if( (DIMENSION < 0) || (DIMENSION >= THTensor_nDimensionLegacyAll(TENSOR)) ) \ THError("invalid dimension"); \ \ TENSOR##_data = THTensor_getStoragePtr(TENSOR)->data()+(TENSOR)->storage_offset(); \ TENSOR##_stride = THTensor_strideLegacyNoScalars((TENSOR), DIMENSION); \ TENSOR##_size = THTensor_sizeLegacyNoScalars(TENSOR, DIMENSION); \ /* Counter stores the indices into the Tensor at any time */ \ TH_TENSOR_DIM_APPLY_counter = (int64_t*)THAlloc(sizeof(int64_t)*(THTensor_nDimensionLegacyAll(TENSOR))); \ for(TH_TENSOR_DIM_APPLY_i = 0; TH_TENSOR_DIM_APPLY_i < THTensor_nDimensionLegacyAll(TENSOR); TH_TENSOR_DIM_APPLY_i++) \ TH_TENSOR_DIM_APPLY_counter[TH_TENSOR_DIM_APPLY_i] = 0; \ \ while(!TH_TENSOR_DIM_APPLY_hasFinished) \ { \ CODE \ \ if(THTensor_nDimensionLegacyAll(TENSOR) == 1) \ break; \ \ for(TH_TENSOR_DIM_APPLY_i = 0; TH_TENSOR_DIM_APPLY_i < THTensor_nDimensionLegacyAll(TENSOR); TH_TENSOR_DIM_APPLY_i++) \ { \ /* Check if the index is equal to DIMENSION. We don't need to update the */ \ /* offset if this is the case, and can consider the next index. However, */ \ /* in the case that the DIMENSION is the last index in the Tensor, then */ \ /* we have parsed the entire tensor and can exit */ \ if(TH_TENSOR_DIM_APPLY_i == DIMENSION) \ { \ if(TH_TENSOR_DIM_APPLY_i == THTensor_nDimensionLegacyAll(TENSOR)-1) \ { \ TH_TENSOR_DIM_APPLY_hasFinished = 1; \ break; \ } \ continue; \ } \ \ /* Bump the counter at this index, update the pointer */ \ TH_TENSOR_DIM_APPLY_counter[TH_TENSOR_DIM_APPLY_i]++; \ TENSOR##_data += THTensor_strideLegacyNoScalars(TENSOR, TH_TENSOR_DIM_APPLY_i); \ \ if(TH_TENSOR_DIM_APPLY_counter[TH_TENSOR_DIM_APPLY_i] == THTensor_sizeLegacyNoScalars(TENSOR, TH_TENSOR_DIM_APPLY_i)) \ { \ /* Handled TENSOR_size(dim) iterations for DIM_APPLY_i. If this is the last dimension, exit */ \ if(TH_TENSOR_DIM_APPLY_i == THTensor_nDimensionLegacyAll(TENSOR)-1) \ { \ TH_TENSOR_DIM_APPLY_hasFinished = 1; \ break; \ } \ else \ { \ /* Reset the counter, and the pointer to the beginning of the storage for this combination of indices */ \ TENSOR##_data -= TH_TENSOR_DIM_APPLY_counter[TH_TENSOR_DIM_APPLY_i]*THTensor_strideLegacyNoScalars(TENSOR, TH_TENSOR_DIM_APPLY_i); \ TH_TENSOR_DIM_APPLY_counter[TH_TENSOR_DIM_APPLY_i] = 0; \ } \ } \ else \ break; \ } \ } \ THFree(TH_TENSOR_DIM_APPLY_counter); \ } #endif