/* * Copyright (c) 2017-2021 Arm Limited. * * SPDX-License-Identifier: MIT * * Permission is hereby granted, free of charge, to any person obtaining a copy * of this software and associated documentation files (the "Software"), to * deal in the Software without restriction, including without limitation the * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or * sell copies of the Software, and to permit persons to whom the Software is * furnished to do so, subject to the following conditions: * * The above copyright notice and this permission notice shall be included in all * copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. */ #include "helpers.h" #include "tile_helpers.h" #include "gemm_helpers.h" #include "repeat.h" #if defined(M0) && defined(K0) && defined(V0) && defined(DATA_TYPE) && defined(SRC_WIDTH) && defined(SRC_HEIGHT) && defined(PARTIAL_LOAD_M0) && defined(PARTIAL_LOAD_K0) #define INC2 (VEC_DATA_TYPE(uint, 2))(0, 1) #define INC3 (VEC_DATA_TYPE(uint, 3))(0, 1, 2) #define INC4 (VEC_DATA_TYPE(uint, 4))(0, 1, 2, 3) #define INC8 (VEC_DATA_TYPE(uint, 8))(0, 1, 2, 3, 4, 5, 6, 7) #define INC16 (VEC_DATA_TYPE(uint, 16))(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15) #define CONCAT_INC(K0) INC##K0 #define INC(K0) CONCAT_INC(K0) #if(SRC_WIDTH % K0) #define BOUNDARY_CONDITION_X(x, a) \ ({ \ a = select(0, a, CONVERT(((x * (VEC_DATA_TYPE(uint, K0))K0 + INC(K0)) < (VEC_DATA_TYPE(uint, K0))SRC_WIDTH), VEC_DATA_TYPE(DATA_TYPE, K0))); \ }) #else // (SRC_WIDTH % K0) #define BOUNDARY_CONDITION_X(x, a) \ ({}) #endif // (SRC_WIDTH % K0) #define LOAD_TENSOR_BOUNDARY_AWARE_M0XK0(M0, K0, DATA_TYPE, a, input_ptr, src_stride_y, zin) \ ({ \ if(y * M0 + M0 >= SRC_HEIGHT && PARTIAL_LOAD_M0 != 0) \ { \ if(x * K0 + K0 >= SRC_WIDTH && (PARTIAL_LOAD_K0 != 0)) \ { \ LOAD_TENSOR_M0XN0(PARTIAL_LOAD_M0, PARTIAL_LOAD_K0, DATA_TYPE, a, input_ptr, src_stride_y, zin); \ } \ else \ { \ LOAD_TENSOR_M0XN0(PARTIAL_LOAD_M0, K0, DATA_TYPE, a, input_ptr, src_stride_y, zin); \ } \ } \ else \ { \ if(x * K0 + K0 >= SRC_WIDTH && (PARTIAL_LOAD_K0 != 0)) \ { \ LOAD_TENSOR_M0XN0(M0, PARTIAL_LOAD_K0, DATA_TYPE, a, input_ptr, src_stride_y, zin); \ } \ else \ { \ LOAD_TENSOR_M0XN0(M0, K0, DATA_TYPE, a, input_ptr, src_stride_y, zin); \ } \ } \ }) /** This OpenCL kernel reshapes the lhs input matrix. The kernel splits the input matrix in blocks of size M0xK0 and stores each one (not transposed) in * the output matrix unrolling the values. * * @note The data type must be passed at compile time using -DDATA_TYPE (e.g. -DDATA_TYPE=float) * @note The width of the input tensor must be passed at compile time using -DSRC_WIDTH (e.g. -DSRC_WIDTH=16) * @note The height of the input tensor must be passed at compile time using -DSRC_HEIGHT (e.g. -DSRC_HEIGHT=16) * @note The block's dimensions (M0 and K0) must be passed at compile time using -DM0 and -DK0 (e.g. -DM0=2, -DK0=2). * @note The number of M0xK0 vertical blocks to store on the same output row must be passed at compile time using -DV0 (e.g. -DV0=2) * @note The size of the partial load block in y must be passed at compile time using -DPARTIAL_LOAD_M0 (e.g. -DPARTIAL_LOAD_M0=1) * @note The size of the partial load block in x must be passed at compile time using -DPARTIAL_LOAD_K0 (e.g. -DPARTIAL_LOAD_K0=1) * @note Only the following values for M0, K0 and V0 are supported: * M0: 2,3,4,5,6,7,8 * K0: 2,3,4,8,16 * V0: greater than 0 * @note In case the input has to be reinterpreted as a 3D tensor (e.g. input of convolution layer 1x1), the following information must be passed at compile time: * -# REINTERPRET_INPUT_AS_3D: To reinterpret the input as 3D * -# HEIGHT_GEMM3D: The height of the input in case it has to be reinterpreted as a 3D tensor. * -# DEPTH_GEMM3D: The depth of the input in case it has to be reinterpreted as a 3D tensor * (HEIGHT_GEMM3D * DEPTH_GEMM3D) = columns matrix A NOT reshaped * @note If the M0xK0 blocks have to be interleaved, the option -DINTERLEAVE must passed at compile time. * * @param[in] src_ptr Pointer to the source LHS tensor. Supported data types: All * @param[in] src_stride_x Stride of the source LHS tensor in X dimension (in bytes) * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) * @param[in] src_stride_y Stride of the source LHS tensor in Y dimension (in bytes) * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) * @param[in] src_stride_z Stride of the source LHS tensor in Z dimension (in bytes) * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source LHS tensor * @param[out] dst_ptr Pointer to the destination matrix Supported data types: same as @p src_ptr * @param[in] dst_stride_x Stride of the destination matrix in X dimension (in bytes) * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) * @param[in] dst_stride_y Stride of the destination matrix in Y dimension (in bytes) * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination matrix * @param[in] cross_plane_pad (Optional) Bottom paddings in unit of elements (only if defined REINTERPRET_INPUT_AS_3D) */ __kernel void gemm_reshape_lhs_matrix_nt(TENSOR3D_DECLARATION(src), TENSOR3D_DECLARATION(dst) #if defined(REINTERPRET_INPUT_AS_3D) , uint cross_plane_pad #endif // REINTERPRET_INPUT_AS_3D ) { // Block size #define BLOCK_SIZE ((M0) * (K0)) // Output offset X #if defined(INTERLEAVE) #define OUTPUT_OFFSET_X (K0) #else // defined(INTERLEAVE) #define OUTPUT_OFFSET_X (BLOCK_SIZE) #endif // defined(INTERLEAVE) // Output step X #if defined(INTERLEAVE) #define OUTPUT_STEP_X (K0) * (V0) #else // Do not interleave #define OUTPUT_STEP_X (K0) #endif // defined(INTERLEAVE) // Compute source and destination addresses uint x = get_global_id(0); uint y = get_global_id(1); uint z = get_global_id(2); // ------------------ Compute input/output addresses --------------------------- // Compute the input address __global uchar *input_ptr = src_ptr + src_offset_first_element_in_bytes + x * (uint)K0 * sizeof(DATA_TYPE) + y * (uint)M0 * src_stride_y; // Compute the output address __global uchar *output_ptr = dst_ptr + dst_offset_first_element_in_bytes + (x * (uint)BLOCK_SIZE * (uint)V0 * sizeof(DATA_TYPE)) + ((y / (uint)V0) * (uint)dst_stride_y) + ((y % V0) * (uint)OUTPUT_OFFSET_X * sizeof(DATA_TYPE)); // Create variables: uint zin0=0, zin1=0, zin2=0...zin(M0-1)=0; REPEAT_VAR_INIT_TO_CONST(M0, uint, zin, 0); #if defined(REINTERPRET_INPUT_AS_3D) // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we // multiply src_stride_z by DEPTH_GEMM3D input_ptr += z * (uint)src_stride_z * DEPTH_GEMM3D; // The plane (zin) is calculated dividing M (y * M0) by HEIGHT_GEMM3D CALCULATE_Z_OFFSET(M0, uint, zin, y, HEIGHT_GEMM3D, DEPTH_GEMM3D, cross_plane_pad, src_stride_y); #else // defined(REINTERPRET_INPUT_AS_3D) input_ptr += z * (uint)src_stride_z; #endif // defined(REINTERPRET_INPUT_AS_3D) // Add offset for batched GEMM output_ptr += z * (uint)dst_stride_z; // ---------------------------Load input values -------------------------------- // Load values from the LHS matrix REPEAT_VAR_INIT_TO_CONST(M0, VEC_DATA_TYPE(DATA_TYPE, K0), a, 0); LOAD_TENSOR_BOUNDARY_AWARE_M0XK0(M0, K0, DATA_TYPE, a, input_ptr, src_stride_y, zin); // ---------------------------Store output values ------------------------------ REPEAT_VAR_INIT_TO_CONST(16, uint, zout, 0); STORE_BLOCK(M0, K0, DATA_TYPE, a, output_ptr, OUTPUT_STEP_X * sizeof(DATA_TYPE), zout); #undef BLOCK_SIZE #undef OUTPUT_OFFSET_X #undef OUTPUT_STEP_X } #if M0 == 2 #define TRANSPOSE_COLUMN_AND_STORE(output_ptr, output_step_x, i) \ ({ \ VEC_DATA_TYPE(DATA_TYPE, M0) \ res = (VEC_DATA_TYPE(DATA_TYPE, M0))(a0.s##i, a1.s##i); \ VSTORE(M0) \ (res, 0, (__global DATA_TYPE *)(output_ptr + 0x##i * output_step_x * sizeof(DATA_TYPE))); \ }) #elif M0 == 3 // M0 == 3 #define TRANSPOSE_COLUMN_AND_STORE(output_ptr, output_step_x, i) \ ({ \ VEC_DATA_TYPE(DATA_TYPE, M0) \ res = (VEC_DATA_TYPE(DATA_TYPE, M0))(a0.s##i, a1.s##i, a2.s##i); \ VSTORE(M0) \ (res, 0, (__global DATA_TYPE *)(output_ptr + 0x##i * output_step_x * sizeof(DATA_TYPE))); \ }) #elif M0 == 4 // M0 == 4 #define TRANSPOSE_COLUMN_AND_STORE(output_ptr, output_step_x, i) \ ({ \ VEC_DATA_TYPE(DATA_TYPE, M0) \ res = (VEC_DATA_TYPE(DATA_TYPE, M0))(a0.s##i, a1.s##i, a2.s##i, a3.s##i); \ VSTORE(M0) \ (res, 0, (__global DATA_TYPE *)(output_ptr + 0x##i * output_step_x * sizeof(DATA_TYPE))); \ }) #elif M0 == 5 // M0 == 5 #define TRANSPOSE_COLUMN_AND_STORE(output_ptr, output_step_x, i) \ ({ \ VEC_DATA_TYPE(DATA_TYPE, 4) \ res0 = (VEC_DATA_TYPE(DATA_TYPE, 4))(a0.s##i, a1.s##i, a2.s##i, a3.s##i); \ DATA_TYPE res1 = a4.s##i; \ VSTORE(4) \ (res0, 0, (__global DATA_TYPE *)(output_ptr + 0x##i * output_step_x * sizeof(DATA_TYPE))); \ *((__global DATA_TYPE *)(output_ptr + 0x##i * output_step_x * sizeof(DATA_TYPE)) + 4) = res1; \ }) #elif M0 == 6 // M0 == 6 #define TRANSPOSE_COLUMN_AND_STORE(output_ptr, output_step_x, i) \ ({ \ VEC_DATA_TYPE(DATA_TYPE, 4) \ res0 = (VEC_DATA_TYPE(DATA_TYPE, 4))(a0.s##i, a1.s##i, a2.s##i, a3.s##i); \ VEC_DATA_TYPE(DATA_TYPE, 2) \ res1 = (VEC_DATA_TYPE(DATA_TYPE, 2))(a4.s##i, a5.s##i); \ VSTORE(4) \ (res0, 0, (__global DATA_TYPE *)(output_ptr + 0x##i * output_step_x * sizeof(DATA_TYPE))); \ VSTORE(2) \ (res1, 0, (__global DATA_TYPE *)(output_ptr + 0x##i * output_step_x * sizeof(DATA_TYPE)) + 4); \ }) #elif M0 == 7 // M0 == 7 #define TRANSPOSE_COLUMN_AND_STORE(output_ptr, output_step_x, i) \ ({ \ VEC_DATA_TYPE(DATA_TYPE, 4) \ res0 = (VEC_DATA_TYPE(DATA_TYPE, 4))(a0.s##i, a1.s##i, a2.s##i, a3.s##i); \ VEC_DATA_TYPE(DATA_TYPE, 3) \ res1 = (VEC_DATA_TYPE(DATA_TYPE, 3))(a4.s##i, a5.s##i, a6.s##i); \ VSTORE(4) \ (res0, 0, (__global DATA_TYPE *)(output_ptr + 0x##i * output_step_x * sizeof(DATA_TYPE))); \ VSTORE(3) \ (res1, 0, (__global DATA_TYPE *)(output_ptr + 0x##i * output_step_x * sizeof(DATA_TYPE)) + 4); \ }) #elif M0 == 8 // M0 == 8 #define TRANSPOSE_COLUMN_AND_STORE(output_ptr, output_step_x, i) \ ({ \ VEC_DATA_TYPE(DATA_TYPE, M0) \ res = (VEC_DATA_TYPE(DATA_TYPE, M0))(a0.s##i, a1.s##i, a2.s##i, a3.s##i, a4.s##i, a5.s##i, a6.s##i, a7.s##i); \ VSTORE(M0) \ (res, 0, (__global DATA_TYPE *)(output_ptr + 0x##i * output_step_x * sizeof(DATA_TYPE))); \ }) #else // M0 not supported #error "M0 value not supported" #endif // N0 conditions /** This OpenCL kernel reshapes the lhs input matrix. The kernel splits the input matrix in blocks of size M0xK0 and stores each one (transposed) in * the output matrix unrolling the values. * * @note The data type must be passed at compile time using -DDATA_TYPE (e.g. -DDATA_TYPE=float) * @note The width of the input tensor must be passed at compile time using -DSRC_WIDTH (e.g. -DSRC_WIDTH=16) * @note The height of the input tensor must be passed at compile time using -DSRC_HEIGHT (e.g. -DSRC_HEIGHT=16) * @note The block's dimensions (M0 and K0) must be passed at compile time using -DM0 and -DK0 (e.g. -DM0=2, -DK0=2). * @note The number of M0xK0 vertical blocks to store on the same output row must be passed at compile time using -DV0 (e.g. -DV0=2) * @note The size of the partial load block in y must be passed at compile time using -DPARTIAL_LOAD_M0 (e.g. -DPARTIAL_LOAD_M0=1) * @note The size of the partial load block in x must be passed at compile time using -DPARTIAL_LOAD_K0 (e.g. -DPARTIAL_LOAD_K0=1) * @note Only the following values for M0, K0 and V0 are supported: * M0: 2,3,4,5,6,7,8 * K0: 2,3,4,8,16 * V0: greater than 0 * @note In case the input has to be reinterpreted as a 3D tensor (e.g. input of convolution layer 1x1), the following information must be passed at compile time: * -# REINTERPRET_INPUT_AS_3D: To reinterpret the input as 3D * -# HEIGHT_GEMM3D: The height of the input in case it has to be reinterpreted as a 3D tensor. * -# DEPTH_GEMM3D: The depth of the input in case it has to be reinterpreted as a 3D tensor * (HEIGHT_GEMM3D * DEPTH_GEMM3D) = columns matrix A NOT reshaped * @note If the M0xK0 blocks have to be interleaved, the option -DINTERLEAVE must passed at compile time. * * @param[in] src_ptr Pointer to the source LHS tensor. Supported data types: All * @param[in] src_stride_x Stride of the source LHS tensor in X dimension (in bytes) * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) * @param[in] src_stride_y Stride of the source LHS tensor in Y dimension (in bytes) * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) * @param[in] src_stride_z Stride of the source LHS tensor in Z dimension (in bytes) * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source LHS tensor * @param[out] dst_ptr Pointer to the destination matrix Supported data types: same as @p src_ptr * @param[in] dst_stride_x Stride of the destination matrix in X dimension (in bytes) * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) * @param[in] dst_stride_y Stride of the destination matrix in Y dimension (in bytes) * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination matrix * @param[in] cross_plane_pad (Optional) Bottom paddings in unit of elements (only if defined REINTERPRET_INPUT_AS_3D) */ __kernel void gemm_reshape_lhs_matrix_t(TENSOR3D_DECLARATION(src), TENSOR3D_DECLARATION(dst) #if defined(REINTERPRET_INPUT_AS_3D) , uint cross_plane_pad #endif // REINTERPRET_INPUT_AS_3D ) { // Block size #define BLOCK_SIZE ((M0) * (K0)) // Output offset X #if defined(INTERLEAVE) #define OUTPUT_OFFSET_X (M0) #else // defined(INTERLEAVE) #define OUTPUT_OFFSET_X (BLOCK_SIZE) #endif // defined(INTERLEAVE) // Output step X #if defined(INTERLEAVE) #define OUTPUT_STEP_X (M0) * (V0) #else // Do not interleave #define OUTPUT_STEP_X (M0) #endif // defined(INTERLEAVE) // Compute source and destination addresses uint x = get_global_id(0); uint y = get_global_id(1); uint z = get_global_id(2); // ------------------ Compute input/output addresses --------------------------- // Compute the input address __global uchar *input_ptr = src_ptr + src_offset_first_element_in_bytes + x * (uint)K0 * sizeof(DATA_TYPE) + y * (uint)M0 * src_stride_y; // Compute the output address __global uchar *output_ptr = dst_ptr + dst_offset_first_element_in_bytes + (x * (uint)BLOCK_SIZE * (uint)V0 * sizeof(DATA_TYPE)) + ((y / (uint)V0) * (uint)dst_stride_y) + ((y % V0) * (uint)OUTPUT_OFFSET_X * sizeof(DATA_TYPE)); // Create variables: uint zin0=0, zin1=0, zin2=0...zin(M0-1)=0; REPEAT_VAR_INIT_TO_CONST(M0, uint, zin, 0); #if defined(REINTERPRET_INPUT_AS_3D) // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we // multiply src_stride_z by DEPTH_GEMM3D input_ptr += z * (uint)src_stride_z * DEPTH_GEMM3D; // The plane (zin) is calculated dividing M (y * M0) by HEIGHT_GEMM3D CALCULATE_Z_OFFSET(M0, uint, zin, y, HEIGHT_GEMM3D, DEPTH_GEMM3D, cross_plane_pad, src_stride_y); #else // defined(REINTERPRET_INPUT_AS_3D) input_ptr += z * (uint)src_stride_z; #endif // defined(REINTERPRET_INPUT_AS_3D) // Add offset for batched GEMM output_ptr += z * (uint)dst_stride_z; // ---------------------------Load input values -------------------------------- REPEAT_VAR_INIT_TO_CONST(M0, VEC_DATA_TYPE(DATA_TYPE, K0), a, 0); LOAD_TENSOR_BOUNDARY_AWARE_M0XK0(M0, K0, DATA_TYPE, a, input_ptr, src_stride_y, zin); // ---------------------------Transpose and store block ----------------------- TRANSPOSE_COLUMN_AND_STORE(output_ptr, OUTPUT_STEP_X, 0); TRANSPOSE_COLUMN_AND_STORE(output_ptr, OUTPUT_STEP_X, 1); #if K0 > 2 TRANSPOSE_COLUMN_AND_STORE(output_ptr, OUTPUT_STEP_X, 2); #endif // K0 > 2 #if K0 > 3 TRANSPOSE_COLUMN_AND_STORE(output_ptr, OUTPUT_STEP_X, 3); #endif // K0 > 3 #if K0 > 4 TRANSPOSE_COLUMN_AND_STORE(output_ptr, OUTPUT_STEP_X, 4); TRANSPOSE_COLUMN_AND_STORE(output_ptr, OUTPUT_STEP_X, 5); TRANSPOSE_COLUMN_AND_STORE(output_ptr, OUTPUT_STEP_X, 6); TRANSPOSE_COLUMN_AND_STORE(output_ptr, OUTPUT_STEP_X, 7); #endif // K0 > 4 #if K0 > 8 TRANSPOSE_COLUMN_AND_STORE(output_ptr, OUTPUT_STEP_X, 8); TRANSPOSE_COLUMN_AND_STORE(output_ptr, OUTPUT_STEP_X, 9); TRANSPOSE_COLUMN_AND_STORE(output_ptr, OUTPUT_STEP_X, A); TRANSPOSE_COLUMN_AND_STORE(output_ptr, OUTPUT_STEP_X, B); TRANSPOSE_COLUMN_AND_STORE(output_ptr, OUTPUT_STEP_X, C); TRANSPOSE_COLUMN_AND_STORE(output_ptr, OUTPUT_STEP_X, D); TRANSPOSE_COLUMN_AND_STORE(output_ptr, OUTPUT_STEP_X, E); TRANSPOSE_COLUMN_AND_STORE(output_ptr, OUTPUT_STEP_X, F); #endif // K0 > 8 #undef BLOCK_SIZE #undef OUTPUT_OFFSET_X #undef OUTPUT_STEP_X } #endif // defined(M0) && defined(K0) && defined(V0) && defined(DATA_TYPE) && defined(SRC_WIDTH) && defined(SRC_HEIGHT) && defined(PARTIAL_LOAD_M0) && defined(PARTIAL_LOAD_K0) #if defined(RESHAPE_RHS_NT) /** This OpenCL kernel reshapes the rhs input matrix. The kernel splits the input matrix in blocks of size K0xN0 and stores each one (not transposed) in * the output matrix unrolling the values. * * @note The data type must be passed at compile time using -DDATA_TYPE (e.g. -DDATA_TYPE=float) * @note The block's dimensions (K0 and N0) must be passed at compile time using -DK0 and -DN0 (e.g. -DK0=2, -DN0=2). * @note The number of K0xN0 vertical blocks to store on the same output row must be passed at compile time using -DH0 (e.g. -DH0=2) * @note If the K0xN0 blocks have to be interleaved, the option -DINTERLEAVE must passed at compile time. * @note Only the following values for K0, N0 and H0 are supported: * N0: 2,3,4,8,16 * K0: 1,2,3,4,8,16 * H0: greater than 0 * * @param[in] src_ptr Pointer to the source tensor. Supported data types: All * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) * @param[in] src_w The size of the width dimension of the source tensor * @param[in] src_h The size of the height dimension of the source tensor * @param[in] src_n The size of the depth dimension of the source tensor * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: All * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) * @param[in] dst_w The size of the width dimension of the destination tensor * @param[in] dst_h The size of the height dimension of the destination tensor * @param[in] dst_n The size of the depth dimension of the destination tensor * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor * @param[in] H0 The number of blocks to place on the same row. It must be greater than 0. */ __kernel void gemm_reshape_rhs_matrix_nt(TENSOR3D_T(src, BUFFER), TENSOR3D_T(dst, BUFFER), const int H0) { // Block size #define BLOCK_SIZE ((K0) * (N0)) // Output offset X #if defined(INTERLEAVE) #define OUTPUT_OFFSET_X (N0) #else // defined(INTERLEAVE) #define OUTPUT_OFFSET_X (BLOCK_SIZE) #endif // defined(INTERLEAVE) // Output step X #if defined(INTERLEAVE) #define OUTPUT_STEP_X (N0) * (H0) #else // Do not interleave #define OUTPUT_STEP_X (N0) #endif // defined(INTERLEAVE) const int x = GET_SPATIAL_IDX(0, 1, 0); const int y = GET_SPATIAL_IDX(1, 1, 0); const int z = GET_SPATIAL_IDX(2, 1, 0); const int xi = x * N0; const int yi = y * K0; const int xo = y * BLOCK_SIZE * H0 + (x % H0) * OUTPUT_OFFSET_X; const int yo = (x / H0); src_offset_first_element_in_bytes += yi * src_stride_y + z * src_stride_z; dst_offset_first_element_in_bytes += yo * dst_stride_y + z * dst_stride_z; TILE(DATA_TYPE, K0, N0, in); // Initialize the tile to zero for(int i = 0; i < K0; ++i) { in[i].v = 0; } // Load input tile for(int i = 0; i < K0; ++i) { if(yi + i < src_h) { in[i].v = V_LOAD(DATA_TYPE, N0, BUFFER, src, xi, i, src_stride_y); } } TILE(uint, K0, 1, dst_indirect_y); for(int i = 0; i < K0; ++i) { dst_indirect_y[i].v = i; } T_STORE_INDIRECT_WIDTH_SELECT(DATA_TYPE, K0, N0, 0, BUFFER, dst, xo, (OUTPUT_STEP_X * sizeof(DATA_TYPE)), false, in, dst_indirect_y); #undef BLOCK_SIZE #undef OUTPUT_OFFSET_X #undef OUTPUT_STEP_X } #endif // defined(RESHAPE_RHS_NT) #if defined(RESHAPE_RHS_T) /** This OpenCL kernel reshapes the rhs input matrix. The kernel splits the input matrix in blocks of size K0xN0 and stores each one (transposed) in * the output matrix unrolling the values. * * @note The data type must be passed at compile time using -DDATA_TYPE (e.g. -DDATA_TYPE=float) * @note The block's dimensions (K0 and N0) must be passed at compile time using -DK0 and -DN0 (e.g. -DK0=2, -DN0=2). * @note The number of K0xN0 vertical blocks to store on the same output row must be passed at compile time using -DH0 (e.g. -DH0=2) * @note If the K0xN0 blocks have to be interleaved, the option -DINTERLEAVE must passed at compile time. * @note The option -DTRANSPOSE must passed at compile time. * @note Only the following values for K0, N0 and H0 are supported: * N0: 2,3,4,8,16 * K0: 2,3,4,8,16 * H0: greater than 0 * * @param[in] src_ptr Pointer to the source tensor. Supported data types: All * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) * @param[in] src_w The size of the width dimension of the source tensor * @param[in] src_h The size of the height dimension of the source tensor * @param[in] src_n The size of the depth dimension of the source tensor * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: All * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) * @param[in] dst_w The size of the width dimension of the destination tensor * @param[in] dst_h The size of the height dimension of the destination tensor * @param[in] dst_n The size of the depth dimension of the destination tensor * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor * @param[in] H0 The number of blocks to place on the same row. It must be greater than 0. */ __kernel void gemm_reshape_rhs_matrix_t(TENSOR3D_T(src, BUFFER), TENSOR3D_T(dst, BUFFER), const int H0) { // Block size #define BLOCK_SIZE ((K0) * (N0)) // Output offset X #if defined(INTERLEAVE) #define OUTPUT_OFFSET_X (K0) #else // defined(INTERLEAVE) #define OUTPUT_OFFSET_X (BLOCK_SIZE) #endif // defined(INTERLEAVE) // Output step X #if defined(INTERLEAVE) #define OUTPUT_STEP_X (K0) * (H0) #else // Do not interleave #define OUTPUT_STEP_X (K0) #endif // defined(INTERLEAVE) const int x = GET_SPATIAL_IDX(0, 1, 0); const int y = GET_SPATIAL_IDX(1, 1, 0); const int z = GET_SPATIAL_IDX(2, 1, 0); const int xi = x * N0; const int yi = y * K0; const int xo = y * BLOCK_SIZE * H0 + (x % H0) * OUTPUT_OFFSET_X; const int yo = (x / H0); src_offset_first_element_in_bytes += yi * src_stride_y + z * src_stride_z; dst_offset_first_element_in_bytes += yo * dst_stride_y + z * dst_stride_z; TILE(DATA_TYPE, K0, N0, in); TILE(DATA_TYPE, N0, K0, in_tr); // Initialize the tile to zero for(int i = 0; i < K0; ++i) { in[i].v = 0; } // Load input tile for(int i = 0; i < K0; ++i) { if(yi + i < src_h) { in[i].v = V_LOAD(DATA_TYPE, N0, BUFFER, src, xi, i, src_stride_y); } } // Transpose input tile for(int k0 = 0; k0 < K0; ++k0) { for(int n0 = 0; n0 < N0; ++n0) { in_tr[n0].s[k0] = in[k0].s[n0]; } } TILE(uint, N0, 1, dst_indirect_y); for(int i = 0; i < N0; ++i) { dst_indirect_y[i].v = i; } T_STORE_INDIRECT_WIDTH_SELECT(DATA_TYPE, N0, K0, 0, BUFFER, dst, xo, (OUTPUT_STEP_X * sizeof(DATA_TYPE)), false, in_tr, dst_indirect_y); #undef BLOCK_SIZE #undef OUTPUT_OFFSET_X #undef OUTPUT_STEP_X } #endif // defined(RESHAPE_RHS_T)