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Diffstat (limited to 'src/core/CL/cl_kernels/common/gemm_utils.cl')
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1 files changed, 458 insertions, 0 deletions
diff --git a/src/core/CL/cl_kernels/common/gemm_utils.cl b/src/core/CL/cl_kernels/common/gemm_utils.cl new file mode 100644 index 0000000000..be57d94ce6 --- /dev/null +++ b/src/core/CL/cl_kernels/common/gemm_utils.cl @@ -0,0 +1,458 @@ +/* + * 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 "gemm_helpers.h" +#include "helpers.h" +#include "repeat.h" +#include "tile_helpers.h" + +#if defined(RESHAPE_LHS_NT) +/** 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 size of the partial load block in y must be passed at compile time using -DPARTIAL_M0 (e.g. -DPARTIAL_M0=1) + * @note The size of the partial load block in x must be passed at compile time using -DPARTIAL_K0 (e.g. -DPARTIAL_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 If the M0xK0 blocks have to be interleaved, the option -DINTERLEAVE must passed at compile time. + * + * @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] M The size of height dimension of the source tensor, affected by reinterpret_input_as_3d + * @param[in] V0 The number of blocks to place on the same row. It must be greater than 0. + */ +__kernel void gemm_reshape_lhs_matrix_nt(TENSOR3D_T(src, BUFFER), + TENSOR3D_T(dst, BUFFER), + const int M, + const int V0) +{ + // 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) + + const int x = GET_SPATIAL_IDX(0, 1, 0); // K + const int y = GET_SPATIAL_IDX(1, 1, 0); // M + const int z = GET_SPATIAL_IDX(2, 1, 0); // Batch size + + const int xi = x * K0; + const int yi = y * M0; + + const int xo = x * BLOCK_SIZE * V0 + (y % V0) * OUTPUT_OFFSET_X; + const int yo = (y / V0); + + // src_stride_z is expressed as M * src_stride_y, to handle case where reinterpret_input_as_3d=true + src_offset_first_element_in_bytes += yi * src_stride_y + z * M * src_stride_y; + dst_offset_first_element_in_bytes += yo * dst_stride_y + z * dst_stride_z; + + TILE(DATA_TYPE, M0, K0, in); + + // Initialize the input tile to zero + LOOP_UNROLLING(int, _i, 0, 1, M0, + { + in[_i].v = 0; + }); + + bool x_cond = (xi + K0 >= src_w) && (PARTIAL_K0 != 0); + bool y_cond = (yi + M0 >= M) && (PARTIAL_M0 != 0); + // Load input tile + TILE(uint, M0, 1, in_indirect_y); + LOOP_UNROLLING(int, _i, 0, 1, M0, + { + in_indirect_y[_i].v = _i; + + }); +#if PARTIAL_M0 != 0 + if(y_cond) + { + T_LOAD_INDIRECT_WIDTH_SELECT(DATA_TYPE, PARTIAL_M0, K0, PARTIAL_K0, BUFFER, src, xi, src_stride_y, x_cond, in, in_indirect_y); + } + else +#endif // PARTIAL_M0 != 0 + { + T_LOAD_INDIRECT_WIDTH_SELECT(DATA_TYPE, M0, K0, PARTIAL_K0, BUFFER, src, xi, src_stride_y, x_cond, in, in_indirect_y); + } + + // Store output tile + TILE(uint, M0, 1, dst_indirect_y); + LOOP_UNROLLING(int, _i, 0, 1, M0, + { + dst_indirect_y[_i].v = _i; + }); + + T_STORE_INDIRECT_WIDTH_SELECT(DATA_TYPE, M0, K0, 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_LHS_NT) + +#if defined(RESHAPE_LHS_T) +/** 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 size of the partial load block in y must be passed at compile time using -DPARTIAL_M0 (e.g. -DPARTIAL_M0=1) + * @note The size of the partial load block in x must be passed at compile time using -DPARTIAL_K0 (e.g. -DPARTIAL_K0=1) + * @note Only the following values for M0, K0 and V0 are supported: + * M0: 2,3,4,8,16 + * K0: 2,3,4,8,16 + * V0: greater than 0 + * @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 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] M The size of height dimension of the source tensor, affected by reinterpret_input_as_3d + * @param[in] V0 The number of blocks to place on the same row. It must be greater than 0 + */ +__kernel void gemm_reshape_lhs_matrix_t(TENSOR3D_T(src, BUFFER), + TENSOR3D_T(dst, BUFFER), + const int M, + const int V0) +{ + // 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) + + const int x = GET_SPATIAL_IDX(0, 1, 0); // K + const int y = GET_SPATIAL_IDX(1, 1, 0); // M + const int z = GET_SPATIAL_IDX(2, 1, 0); // Batch size + + const int xi = x * K0; + const int yi = y * M0; + + const int xo = x * BLOCK_SIZE * V0 + ((y % V0) * OUTPUT_OFFSET_X); + const int yo = (y / V0); + + // src_stride_z is expressed as M * src_stride_y, to handle case where reinterpret_input_as_3d=true + src_offset_first_element_in_bytes += yi * src_stride_y + z * M * src_stride_y; + dst_offset_first_element_in_bytes += yo * dst_stride_y + z * dst_stride_z; + + TILE(DATA_TYPE, M0, K0, in); + TILE(DATA_TYPE, K0, M0, in_tr); + + // Initialize the tile to zero + LOOP_UNROLLING(int, _i, 0, 1, M0, + { + in[_i].v = 0; + }); + + // Load input tile + bool x_cond = (xi + K0 >= src_w) && (PARTIAL_K0 != 0); + bool y_cond = (yi + M0 >= M) && (PARTIAL_M0 != 0); + + TILE(uint, M0, 1, in_indirect_y); + LOOP_UNROLLING(int, _i, 0, 1, M0, + { + in_indirect_y[_i].v = _i; + + }); +#if PARTIAL_M0 != 0 + if(y_cond) + { + T_LOAD_INDIRECT_WIDTH_SELECT(DATA_TYPE, PARTIAL_M0, K0, PARTIAL_K0, BUFFER, src, xi, src_stride_y, x_cond, in, in_indirect_y); + } + else +#endif // PARTIAL_M0 != 0 + { + T_LOAD_INDIRECT_WIDTH_SELECT(DATA_TYPE, M0, K0, PARTIAL_K0, BUFFER, src, xi, src_stride_y, x_cond, in, in_indirect_y); + } + // Transpose input tile + LOOP_UNROLLING(int, m0, 0, 1, M0, + { + LOOP_UNROLLING(int, k0, 0, 1, K0, + { + in_tr[k0].s[m0] = in[m0].s[k0]; + }) + }); + + TILE(uint, K0, 1, dst_indirect_y); + LOOP_UNROLLING(int, _i, 0, 1, K0, + { + dst_indirect_y[_i].v = _i; + }); + + // Store output tile + T_STORE_INDIRECT_WIDTH_SELECT(DATA_TYPE, K0, M0, 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_LHS_T) + +#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 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 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)
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