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Diffstat (limited to 'src/core/CL/cl_kernels/gemm.cl')
| -rw-r--r-- | src/core/CL/cl_kernels/gemm.cl | 4386 |
1 files changed, 0 insertions, 4386 deletions
diff --git a/src/core/CL/cl_kernels/gemm.cl b/src/core/CL/cl_kernels/gemm.cl deleted file mode 100644 index 10435d376f..0000000000 --- a/src/core/CL/cl_kernels/gemm.cl +++ /dev/null @@ -1,4386 +0,0 @@ -/* - * 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 "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(K0) && defined(N0) && defined(H0) && defined(DATA_TYPE) && defined(SRC_HEIGHT) -/** 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 height of the input tensor must be passed at compile time using -DSRC_HEIGHT (e.g. -DSRC_HEIGHT=16) - * @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 RHS tensor. Supported data types: All - * @param[in] src_stride_x Stride of the source RHS 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 RHS 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 RHS 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 RHS 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 - */ -__kernel void gemm_reshape_rhs_matrix_nt(TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst)) -{ - // 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) - - // 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)N0 * sizeof(DATA_TYPE) + y * (uint)K0 * src_stride_y + z * (uint)src_stride_z; - - // Compute the output address - __global uchar *output_ptr = dst_ptr + dst_offset_first_element_in_bytes + (y * (uint)BLOCK_SIZE * (uint)H0 * sizeof(DATA_TYPE)) + ((x % (uint)H0) * (uint)OUTPUT_OFFSET_X * sizeof(DATA_TYPE)) + (( - x / (uint)H0) - * (uint)dst_stride_y) - + z * (uint)dst_stride_z; - - // ---------------------------Load input values -------------------------------- - - REPEAT_VAR_INIT_TO_CONST(K0, VEC_DATA_TYPE(DATA_TYPE, N0), a, 0); ////uint a0=0, a1=0, a2=0...a(M0-1)=0; - - // Load values from the RHS matrix - a0 = VLOAD(N0)(0, (__global DATA_TYPE *)(input_ptr + 0 * src_stride_y)); -#if K0 > 1 - if(y * (uint)K0 + 1 < SRC_HEIGHT) - { - a1 = VLOAD(N0)(0, (__global DATA_TYPE *)(input_ptr + 1 * src_stride_y)); - } -#endif // K0 > 1 -#if K0 > 2 - if(y * (uint)K0 + 2 < SRC_HEIGHT) - { - a2 = VLOAD(N0)(0, (__global DATA_TYPE *)(input_ptr + 2 * src_stride_y)); - } -#endif // K0 > 2 -#if K0 > 3 - if(y * (uint)K0 + 3 < SRC_HEIGHT) - { - a3 = VLOAD(N0)(0, (__global DATA_TYPE *)(input_ptr + 3 * src_stride_y)); - } -#endif // K0 > 3 -#if K0 > 4 - if(y * (uint)K0 + 4 < SRC_HEIGHT) - { - a4 = VLOAD(N0)(0, (__global DATA_TYPE *)(input_ptr + 4 * src_stride_y)); - } - if(y * (uint)K0 + 5 < SRC_HEIGHT) - { - a5 = VLOAD(N0)(0, (__global DATA_TYPE *)(input_ptr + 5 * src_stride_y)); - } - if(y * (uint)K0 + 6 < SRC_HEIGHT) - { - a6 = VLOAD(N0)(0, (__global DATA_TYPE *)(input_ptr + 6 * src_stride_y)); - } - if(y * (uint)K0 + 7 < SRC_HEIGHT) - { - a7 = VLOAD(N0)(0, (__global DATA_TYPE *)(input_ptr + 7 * src_stride_y)); - } -#endif // K0 > 4 -#if K0 > 8 - if(y * (uint)K0 + 8 < SRC_HEIGHT) - { - a8 = VLOAD(N0)(0, (__global DATA_TYPE *)(input_ptr + 8 * src_stride_y)); - } - if(y * (uint)K0 + 9 < SRC_HEIGHT) - { - a9 = VLOAD(N0)(0, (__global DATA_TYPE *)(input_ptr + 9 * src_stride_y)); - } - if(y * (uint)K0 + 10 < SRC_HEIGHT) - { - aA = VLOAD(N0)(0, (__global DATA_TYPE *)(input_ptr + 10 * src_stride_y)); - } - if(y * (uint)K0 + 11 < SRC_HEIGHT) - { - aB = VLOAD(N0)(0, (__global DATA_TYPE *)(input_ptr + 11 * src_stride_y)); - } - if(y * (uint)K0 + 12 < SRC_HEIGHT) - { - aC = VLOAD(N0)(0, (__global DATA_TYPE *)(input_ptr + 12 * src_stride_y)); - } - if(y * (uint)K0 + 13 < SRC_HEIGHT) - { - aD = VLOAD(N0)(0, (__global DATA_TYPE *)(input_ptr + 13 * src_stride_y)); - } - if(y * (uint)K0 + 14 < SRC_HEIGHT) - { - aE = VLOAD(N0)(0, (__global DATA_TYPE *)(input_ptr + 14 * src_stride_y)); - } - if(y * (uint)K0 + 15 < SRC_HEIGHT) - { - aF = VLOAD(N0)(0, (__global DATA_TYPE *)(input_ptr + 15 * src_stride_y)); - } -#endif // K0 > 8 - - // ---------------------------Store output values ------------------------------ - REPEAT_VAR_INIT_TO_CONST(16, uint, zout, 0); - STORE_BLOCK(K0, N0, DATA_TYPE, a, output_ptr, OUTPUT_STEP_X * sizeof(DATA_TYPE), zout); - -#undef BLOCK_SIZE -#undef OUTPUT_OFFSET_X -#undef OUTPUT_STEP_X -} - -#if defined(TRANSPOSE) -/** 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 height of the input tensor must be passed at compile time using -DSRC_HEIGHT (e.g. -DSRC_HEIGHT=16) - * @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 RHS tensor. Supported data types: All - * @param[in] src_stride_x Stride of the source RHS 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 RHS 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 RHS 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 RHS 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 - */ -__kernel void gemm_reshape_rhs_matrix_t(TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst)) -{ - // 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) - - // 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)N0 * sizeof(DATA_TYPE) + y * (uint)K0 * src_stride_y + z * (uint)src_stride_z; - - // Compute the output address - __global uchar *output_ptr = dst_ptr + dst_offset_first_element_in_bytes + (y * (uint)BLOCK_SIZE * (uint)H0 * sizeof(DATA_TYPE)) + ((x % H0) * (uint)OUTPUT_OFFSET_X * sizeof(DATA_TYPE)) + ((x / - (uint)H0) * (uint)dst_stride_y) + z * (uint)dst_stride_z; - - // ---------------------------Load input values -------------------------------- - REPEAT_VAR_INIT_TO_CONST(K0, VEC_DATA_TYPE(DATA_TYPE, N0), a, 0); //VEC_DATA_TYPE(DATA_TYPE, N0) a0=0, a1=0, ... a(K0-1)=0; - - // Load values from the RHS matrix - a0 = VLOAD(N0)(0, (__global DATA_TYPE *)(input_ptr + 0 * src_stride_y)); - if(y * (uint)K0 + 1 < SRC_HEIGHT) - { - a1 = VLOAD(N0)(0, (__global DATA_TYPE *)(input_ptr + 1 * src_stride_y)); - } -#if K0 > 2 - if(y * (uint)K0 + 2 < SRC_HEIGHT) - { - a2 = VLOAD(N0)(0, (__global DATA_TYPE *)(input_ptr + 2 * src_stride_y)); - } -#endif // K0 > 2 -#if K0 > 3 - if(y * (uint)K0 + 3 < SRC_HEIGHT) - { - a3 = VLOAD(N0)(0, (__global DATA_TYPE *)(input_ptr + 3 * src_stride_y)); - } -#endif // K0 > 3 -#if K0 > 4 - if(y * (uint)K0 + 4 < SRC_HEIGHT) - { - a4 = VLOAD(N0)(0, (__global DATA_TYPE *)(input_ptr + 4 * src_stride_y)); - } - if(y * (uint)K0 + 5 < SRC_HEIGHT) - { - a5 = VLOAD(N0)(0, (__global DATA_TYPE *)(input_ptr + 5 * src_stride_y)); - } - if(y * (uint)K0 + 6 < SRC_HEIGHT) - { - a6 = VLOAD(N0)(0, (__global DATA_TYPE *)(input_ptr + 6 * src_stride_y)); - } - if(y * (uint)K0 + 7 < SRC_HEIGHT) - { - a7 = VLOAD(N0)(0, (__global DATA_TYPE *)(input_ptr + 7 * src_stride_y)); - } -#endif // K0 > 4 -#if K0 > 8 - if(y * (uint)K0 + 8 < SRC_HEIGHT) - { - a8 = VLOAD(N0)(0, (__global DATA_TYPE *)(input_ptr + 8 * src_stride_y)); - } - if(y * (uint)K0 + 9 < SRC_HEIGHT) - { - a9 = VLOAD(N0)(0, (__global DATA_TYPE *)(input_ptr + 9 * src_stride_y)); - } - if(y * (uint)K0 + 10 < SRC_HEIGHT) - { - aA = VLOAD(N0)(0, (__global DATA_TYPE *)(input_ptr + 10 * src_stride_y)); - } - if(y * (uint)K0 + 11 < SRC_HEIGHT) - { - aB = VLOAD(N0)(0, (__global DATA_TYPE *)(input_ptr + 11 * src_stride_y)); - } - if(y * (uint)K0 + 12 < SRC_HEIGHT) - { - aC = VLOAD(N0)(0, (__global DATA_TYPE *)(input_ptr + 12 * src_stride_y)); - } - if(y * (uint)K0 + 13 < SRC_HEIGHT) - { - aD = VLOAD(N0)(0, (__global DATA_TYPE *)(input_ptr + 13 * src_stride_y)); - } - if(y * (uint)K0 + 14 < SRC_HEIGHT) - { - aE = VLOAD(N0)(0, (__global DATA_TYPE *)(input_ptr + 14 * src_stride_y)); - } - if(y * (uint)K0 + 15 < SRC_HEIGHT) - { - aF = VLOAD(N0)(0, (__global DATA_TYPE *)(input_ptr + 15 * src_stride_y)); - } -#endif // K0 > 8 - - // ---------------------------Transpose the block ------------------------------ - REPEAT_VAR_INIT_TO_CONST(N0, VEC_DATA_TYPE(DATA_TYPE, K0), res, 0); //VEC_DATA_TYPE(DATA_TYPE, K0) res0=0, res1=0, res2=0,... res(N0-1)=0; - -#if K0 == 2 - // This part computes the following transpositions: - // 2x2 -> 2x2 - // 2x4 -> 4x2 - // 2x8 -> 8x2 - // 2x16 -> 16x2 - res0 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s0, a1.s0); - res1 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s1, a1.s1); -#if N0 > 2 - res2 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s2, a1.s2); -#endif // N0 > 2 -#if N0 > 3 - res3 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s3, a1.s3); -#endif // N0 > 3 -#if N0 > 4 - res4 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s4, a1.s4); - res5 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s5, a1.s5); - res6 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s6, a1.s6); - res7 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s7, a1.s7); -#endif // N0 > 4 -#if N0 > 8 - res8 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s8, a1.s8); - res9 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s9, a1.s9); - resA = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.sA, a1.sA); - resB = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.sB, a1.sB); - resC = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.sC, a1.sC); - resD = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.sD, a1.sD); - resE = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.sE, a1.sE); - resF = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.sF, a1.sF); -#endif // N0 > 8 - -#elif K0 == 3 // K0 == 2 - // This part computes the following transpositions: - // 3x2 -> 2x3 - // 3x4 -> 4x3 - // 3x8 -> 8x3 - // 3x16 -> 16x3 - res0 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s0, a1.s0, a2.s0); - res1 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s1, a1.s1, a2.s1); -#if N0 > 2 - res2 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s2, a1.s2, a2.s2); -#endif // N0 > 2 -#if N0 > 3 - res3 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s3, a1.s3, a2.s3); -#endif // N0 > 3 -#if N0 > 4 - res4 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s4, a1.s4, a2.s4); - res5 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s5, a1.s5, a2.s5); - res6 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s6, a1.s6, a2.s6); - res7 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s7, a1.s7, a2.s7); -#endif // N0 > 4 -#if N0 > 8 - res8 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s8, a1.s8, a2.s8); - res9 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s9, a1.s9, a2.s9); - resA = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.sA, a1.sA, a2.sA); - resB = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.sB, a1.sB, a2.sB); - resC = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.sC, a1.sC, a2.sC); - resD = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.sD, a1.sD, a2.sD); - resE = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.sE, a1.sE, a2.sE); - resF = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.sF, a1.sF, a2.sF); -#endif // N0 > 8 - -#elif K0 == 4 // K0 == 4 - // This part computes the following transpositions: - // 4x2 -> 2x4 - // 4x4 -> 4x4 - // 4x8 -> 8x4 - // 4x16 -> 16x4 - res0 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s0, a1.s0, a2.s0, a3.s0); - res1 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s1, a1.s1, a2.s1, a3.s1); -#if N0 > 2 - res2 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s2, a1.s2, a2.s2, a3.s2); -#endif // N0 > 2 -#if N0 > 3 - res3 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s3, a1.s3, a2.s3, a3.s3); -#endif // N0 > 3 -#if N0 > 4 - res4 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s4, a1.s4, a2.s4, a3.s4); - res5 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s5, a1.s5, a2.s5, a3.s5); - res6 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s6, a1.s6, a2.s6, a3.s6); - res7 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s7, a1.s7, a2.s7, a3.s7); -#endif // N0 > 4 -#if N0 > 8 - res8 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s8, a1.s8, a2.s8, a3.s8); - res9 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s9, a1.s9, a2.s9, a3.s9); - resA = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.sA, a1.sA, a2.sA, a3.sA); - resB = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.sB, a1.sB, a2.sB, a3.sB); - resC = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.sC, a1.sC, a2.sC, a3.sC); - resD = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.sD, a1.sD, a2.sD, a3.sD); - resE = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.sE, a1.sE, a2.sE, a3.sE); - resF = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.sF, a1.sF, a2.sF, a3.sF); -#endif // N0 > 8 - -#elif K0 == 8 // K0 == 8 - // This part computes the following transpositions: - // 8x2 -> 2x8 - // 8x4 -> 4x8 - // 8x8 -> 8x8 - // 8x16 -> 16x8 - res0 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s0, a1.s0, a2.s0, a3.s0, a4.s0, a5.s0, a6.s0, a7.s0); - res1 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s1, a1.s1, a2.s1, a3.s1, a4.s1, a5.s1, a6.s1, a7.s1); -#if N0 > 2 - res2 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s2, a1.s2, a2.s2, a3.s2, a4.s2, a5.s2, a6.s2, a7.s2); -#endif // N0 > 2 -#if N0 > 3 - res3 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s3, a1.s3, a2.s3, a3.s3, a4.s3, a5.s3, a6.s3, a7.s3); -#endif // N0 > 3 -#if N0 > 4 - res4 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s4, a1.s4, a2.s4, a3.s4, a4.s4, a5.s4, a6.s4, a7.s4); - res5 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s5, a1.s5, a2.s5, a3.s5, a4.s5, a5.s5, a6.s5, a7.s5); - res6 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s6, a1.s6, a2.s6, a3.s6, a4.s6, a5.s6, a6.s6, a7.s6); - res7 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s7, a1.s7, a2.s7, a3.s7, a4.s7, a5.s7, a6.s7, a7.s7); -#endif // N0 > 4 -#if N0 > 8 - res8 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s8, a1.s8, a2.s8, a3.s8, a4.s8, a5.s8, a6.s8, a7.s8); - res9 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s9, a1.s9, a2.s9, a3.s9, a4.s9, a5.s9, a6.s9, a7.s9); - resA = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.sA, a1.sA, a2.sA, a3.sA, a4.sA, a5.sA, a6.sA, a7.sA); - resB = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.sB, a1.sB, a2.sB, a3.sB, a4.sB, a5.sB, a6.sB, a7.sB); - resC = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.sC, a1.sC, a2.sC, a3.sC, a4.sC, a5.sC, a6.sC, a7.sC); - resD = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.sD, a1.sD, a2.sD, a3.sD, a4.sD, a5.sD, a6.sD, a7.sD); - resE = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.sE, a1.sE, a2.sE, a3.sE, a4.sE, a5.sE, a6.sE, a7.sE); - resF = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.sF, a1.sF, a2.sF, a3.sF, a4.sF, a5.sF, a6.sF, a7.sF); -#endif // N0 > 8 - -#elif K0 == 16 // K0 == 16 - - // This part computes the following transpositions: - // 16x2 -> 2x16 - // 16x4 -> 4x16 - // 16x8 -> 8x16 - // 16x16 -> 16x16 - res0 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s0, a1.s0, a2.s0, a3.s0, a4.s0, a5.s0, a6.s0, a7.s0, - a8.s0, a9.s0, aA.s0, aB.s0, aC.s0, aD.s0, aE.s0, aF.s0); - res1 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s1, a1.s1, a2.s1, a3.s1, a4.s1, a5.s1, a6.s1, a7.s1, - a8.s1, a9.s1, aA.s1, aB.s1, aC.s1, aD.s1, aE.s1, aF.s1); -#if N0 > 2 - res2 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s2, a1.s2, a2.s2, a3.s2, a4.s2, a5.s2, a6.s2, a7.s2, - a8.s2, a9.s2, aA.s2, aB.s2, aC.s2, aD.s2, aE.s2, aF.s2); -#endif // N0 > 2 -#if N0 > 3 - res3 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s3, a1.s3, a2.s3, a3.s3, a4.s3, a5.s3, a6.s3, a7.s3, - a8.s3, a9.s3, aA.s3, aB.s3, aC.s3, aD.s3, aE.s3, aF.s3); -#endif // N0 > 3 -#if N0 > 4 - res4 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s4, a1.s4, a2.s4, a3.s4, a4.s4, a5.s4, a6.s4, a7.s4, - a8.s4, a9.s4, aA.s4, aB.s4, aC.s4, aD.s4, aE.s4, aF.s4); - res5 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s5, a1.s5, a2.s5, a3.s5, a4.s5, a5.s5, a6.s5, a7.s5, - a8.s5, a9.s5, aA.s5, aB.s5, aC.s5, aD.s5, aE.s5, aF.s5); - res6 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s6, a1.s6, a2.s6, a3.s6, a4.s6, a5.s6, a6.s6, a7.s6, - a8.s6, a9.s6, aA.s6, aB.s6, aC.s6, aD.s6, aE.s6, aF.s6); - res7 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s7, a1.s7, a2.s7, a3.s7, a4.s7, a5.s7, a6.s7, a7.s7, - a8.s7, a9.s7, aA.s7, aB.s7, aC.s7, aD.s7, aE.s7, aF.s7); -#endif // N0 > 4 -#if N0 > 8 - res8 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s8, a1.s8, a2.s8, a3.s8, a4.s8, a5.s8, a6.s8, a7.s8, - a8.s8, a9.s8, aA.s8, aB.s8, aC.s8, aD.s8, aE.s8, aF.s8); - res9 = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.s9, a1.s9, a2.s9, a3.s9, a4.s9, a5.s9, a6.s9, a7.s9, - a8.s9, a9.s9, aA.s9, aB.s9, aC.s9, aD.s9, aE.s9, aF.s9); - resA = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.sA, a1.sA, a2.sA, a3.sA, a4.sA, a5.sA, a6.sA, a7.sA, - a8.sA, a9.sA, aA.sA, aB.sA, aC.sA, aD.sA, aE.sA, aF.sA); - resB = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.sB, a1.sB, a2.sB, a3.sB, a4.sB, a5.sB, a6.sB, a7.sB, - a8.sB, a9.sB, aA.sB, aB.sB, aC.sB, aD.sB, aE.sB, aF.sB); - resC = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.sC, a1.sC, a2.sC, a3.sC, a4.sC, a5.sC, a6.sC, a7.sC, - a8.sC, a9.sC, aA.sC, aB.sC, aC.sC, aD.sC, aE.sC, aF.sC); - resD = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.sD, a1.sD, a2.sD, a3.sD, a4.sD, a5.sD, a6.sD, a7.sD, - a8.sD, a9.sD, aA.sD, aB.sD, aC.sD, aD.sD, aE.sD, aF.sD); - resE = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.sE, a1.sE, a2.sE, a3.sE, a4.sE, a5.sE, a6.sE, a7.sE, - a8.sE, a9.sE, aA.sE, aB.sE, aC.sE, aD.sE, aE.sE, aF.sE); - resF = (VEC_DATA_TYPE(DATA_TYPE, K0))(a0.sF, a1.sF, a2.sF, a3.sF, a4.sF, a5.sF, a6.sF, a7.sF, - a8.sF, a9.sF, aA.sF, aB.sF, aC.sF, aD.sF, aE.sF, aF.sF); -#endif // N0 > 8 - -#else // N0 == 16 -#error "Not supported N0 value" -#endif // N0 > 2 - - // ---------------------------Store the output values ------------------------------ - REPEAT_VAR_INIT_TO_CONST(16, uint, zout, 0); - STORE_BLOCK(N0, K0, DATA_TYPE, res, output_ptr, OUTPUT_STEP_X * sizeof(DATA_TYPE), zout); - -#undef BLOCK_SIZE -#undef OUTPUT_OFFSET_X -#undef OUTPUT_STEP_X -} -#endif // defined(TRANSPOSE) -#endif // defined(K0) && defined(N0) && defined(H0) && defined(DATA_TYPE) && defined(SRC_HEIGHT) - -#if defined(M0) && defined(N0) && defined(K0) && defined(H0) && defined(DATA_TYPE) && defined(M) && defined(N) && defined(K) - -#define CONCAT(a, b) a##b - -#define ARM_DOT1(a, b, c) \ - ({ \ - c = fma(a, b, c); \ - }) -#define ARM_DOT2(a, b, c) \ - ({ \ - c = fma(a.s0, b.s0, c); \ - c = fma(a.s1, b.s1, c); \ - }) -#define ARM_DOT3(a, b, c) \ - ({ \ - ARM_DOT2(a, b, c); \ - c = fma((a.s2), (b.s2), c); \ - }) -#define ARM_DOT4(a, b, c) \ - ({ \ - ARM_DOT3(a, b, c); \ - c = fma((a.s3), (b.s3), c); \ - }) -#define ARM_DOT8(a, b, c) \ - ({ \ - ARM_DOT4((a.lo), (b.lo), c); \ - ARM_DOT4((a.hi), (b.hi), c); \ - }) -#define ARM_DOT16(a, b, c) \ - ({ \ - ARM_DOT8((a.lo), (b.lo), c); \ - ARM_DOT8((a.hi), (b.hi), c); \ - }) - -#if N0 == 2 -#define ARM_DOT_K0XN0(k0, a, b, c) \ - ({ \ - CONCAT(ARM_DOT, k0) \ - ((a), (b##0), (c.s0)); \ - CONCAT(ARM_DOT, k0) \ - ((a), (b##1), (c.s1)); \ - }) -#elif N0 == 3 // N0 == 3 -#define ARM_DOT_K0XN0(k0, a, b, c) \ - ({ \ - CONCAT(ARM_DOT, k0) \ - ((a), (b##0), (c.s0)); \ - CONCAT(ARM_DOT, k0) \ - ((a), (b##1), (c.s1)); \ - CONCAT(ARM_DOT, k0) \ - ((a), (b##2), (c.s2)); \ - }) -#elif N0 == 4 // N0 == 4 -#define ARM_DOT_K0XN0(k0, a, b, c) \ - ({ \ - CONCAT(ARM_DOT, k0) \ - ((a), (b##0), (c.s0)); \ - CONCAT(ARM_DOT, k0) \ - ((a), (b##1), (c.s1)); \ - CONCAT(ARM_DOT, k0) \ - ((a), (b##2), (c.s2)); \ - CONCAT(ARM_DOT, k0) \ - ((a), (b##3), (c.s3)); \ - }) -#elif N0 == 8 // N0 == 8 -#define ARM_DOT_K0XN0(k0, a, b, c) \ - ({ \ - CONCAT(ARM_DOT, k0) \ - ((a), (b##0), (c.s0)); \ - CONCAT(ARM_DOT, k0) \ - ((a), (b##1), (c.s1)); \ - CONCAT(ARM_DOT, k0) \ - ((a), (b##2), (c.s2)); \ - CONCAT(ARM_DOT, k0) \ - ((a), (b##3), (c.s3)); \ - CONCAT(ARM_DOT, k0) \ - ((a), (b##4), (c.s4)); \ - CONCAT(ARM_DOT, k0) \ - ((a), (b##5), (c.s5)); \ - CONCAT(ARM_DOT, k0) \ - ((a), (b##6), (c.s6)); \ - CONCAT(ARM_DOT, k0) \ - ((a), (b##7), (c.s7)); \ - }) -#elif N0 == 16 // N0 == 16 -#define ARM_DOT_K0XN0(k0, a, b, c) \ - ({ \ - CONCAT(ARM_DOT, k0) \ - ((a), (b##0), (c.s0)); \ - CONCAT(ARM_DOT, k0) \ - ((a), (b##1), (c.s1)); \ - CONCAT(ARM_DOT, k0) \ - ((a), (b##2), (c.s2)); \ - CONCAT(ARM_DOT, k0) \ - ((a), (b##3), (c.s3)); \ - CONCAT(ARM_DOT, k0) \ - ((a), (b##4), (c.s4)); \ - CONCAT(ARM_DOT, k0) \ - ((a), (b##5), (c.s5)); \ - CONCAT(ARM_DOT, k0) \ - ((a), (b##6), (c.s6)); \ - CONCAT(ARM_DOT, k0) \ - ((a), (b##7), (c.s7)); \ - CONCAT(ARM_DOT, k0) \ - ((a), (b##8), (c.s8)); \ - CONCAT(ARM_DOT, k0) \ - ((a), (b##9), (c.s9)); \ - CONCAT(ARM_DOT, k0) \ - ((a), (b##A), (c.sA)); \ - CONCAT(ARM_DOT, k0) \ - ((a), (b##B), (c.sB)); \ - CONCAT(ARM_DOT, k0) \ - ((a), (b##C), (c.sC)); \ - CONCAT(ARM_DOT, k0) \ - ((a), (b##D), (c.sD)); \ - CONCAT(ARM_DOT, k0) \ - ((a), (b##E), (c.sE)); \ - CONCAT(ARM_DOT, k0) \ - ((a), (b##F), (c.sF)); \ - }) -#else // N0 not supported -#error "N0 value not supported" -#endif // N0 conditions - -/** This OpenCL kernel computes the matrix multiplication between 2 matrices. - * The LHS matrix is NOT reshaped - * The RHS is reshaped with @ref CLGEMMReshapeRHSMatrixKernel and the block K0xN0 is transposed - * - * @note If the first two dimensions of NDRange have been dispatched with "dummy_work_items" support, the option -DDUMMY_WORK_ITEMS must be passed at compile time. - * @note The GEMM's dimensions (M,N and K) must be passed at compile time using -DM, -DN and and -DK (e.g. -DM=52, -DN=30 and -DK=90) - * @note The number of columns of LHS matrix must be passed at compile time using -DK (e.g. -DK=64) - * @note The block's dimensions used for reshaping the RHS matrix (N0 and K0) must be passed at compile time using -DN0 and -DK0 (e.g. -DN0=8, -DK0=4). - * @note The number of M0 rows to process must be passed at compile time using -DM0 (e.g. -DM0=2) - * @note The number of K0xN0 horizontal blocks stored on the same output row of the reshaped RHS matrix must be passed at compile time using -DH0 (e.g. -DH0=2) - * @note If the K0xN0 blocks in the reshaped RHS matrix have been interleaved, the option -DRHS_INTERLEAVE must passed at compile time. - * @note The size of the partial store block in y must be passed at compile time using -DPARTIAL_STORE_M0 (e.g. -DPARTIAL_STORE_M0=1) - * @note The size of the partial store block in x must be passed at compile time using -DPARTIAL_STORE_N0 (e.g. -DPARTIAL_STORE_N0=1) - * @note Only the following configurations of M0, N0 and K0 are currently supported: - * - M0 = 1, 2, 3, 4, 5, 6, 7, 8 - * - N0 = 2, 3, 4, 8, 16 - * - K0 = 2, 3, 4, 8, 16 - * - H0 >= 1 - * - * @note If the activation type were passed at compile time through -DACTIVATION_TYPE (e.g. -DACTIVATION_TYPE=RELU), A, B variables, required by some activation functions, should be passed at compile time as well using -DA_VAL= and -DB_VAL= respectively. - * The activation function is performed after the bias addition - * @note In case the input or output have to be reinterpreted as a 3D tensor, the following information must be passed at compile time: - * -# REINTERPRET_INPUT_AS_3D: To reinterpret the input as 3D - * -# REINTERPRET_OUTPUT_AS_3D: To reinterpret the output as 3D - * -# HEIGHT_GEMM3D: The height of the output in case it has to be reinterpreted as a 3D tensor. - * -# DEPTH_GEMM3D: The depth of the output in case it has to be reinterpreted as a 3D tensor - * (HEIGHT_GEMM3D * DEPTH_GEMM3D) = columns LHS matrix - * - * @param[in] lhs_ptr Pointer to the LHS matrix. Supported data type: F16/F32 - * @param[in] lhs_stride_x Stride of the LHS matrix in X dimension (in bytes) - * @param[in] lhs_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] lhs_stride_y Stride of the LHS matrix in Y dimension (in bytes) - * @param[in] lhs_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] lhs_offset_first_element_in_bytes The offset of the first element in the LHS matrix - * @param[in] rhs_ptr Pointer to the RHS reshaped matrix. Supported data type: same as @p lhs_ptr - * @param[in] rhs_stride_x Stride of the RHS reshaped matrix in X dimension (in bytes) - * @param[in] rhs_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] rhs_stride_y Stride of the RHS reshaped matrix in Y dimension (in bytes) - * @param[in] rhs_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] rhs_offset_first_element_in_bytes The offset of the first element in the RHS reshaped matrix - * @param[in] bias_ptr (Optional) Pointer to the bias matrix. Supported data type: same as @p lhs_ptr - * @param[in] bias_stride_x (Optional) Stride of the bias matrix in X dimension (in bytes) - * @param[in] bias_step_x (Optional) bias_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] bias_stride_y (Optional) Stride of the bias matrix in Y dimension (in bytes) - * @param[in] bias_step_y (Optional) bias_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] bias_offset_first_element_in_bytes (Optional) The offset of the first element in the bias matrix - * @param[out] dst_ptr Pointer to the destination matrix Supported data type: same as @p lhs_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_offset_first_element_in_bytes The offset of the first element in the destination matrix - * @param[in] lhs_stride_z Stride of the LHS matrix in Z dimension (in bytes) - * @param[in] rhs_stride_z Stride of the RHS reshaped matrix in Z dimension (in bytes) - * @param[in] bias_stride_z (Optional) Stride of the bias matrix in Z dimension (in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] lhs_cross_plane_pad (Optional) Bottom paddings for LHS matrix in unit of elements (only if defined REINTERPRET_INPUT_AS_3D) - * @param[in] dst_cross_plane_pad (Optional) Bottom paddings for the output matrix in unit of elements (only if defined REINTERPRET_OUTPUT_AS_3D) - */ -__kernel void gemm_mm_reshaped_only_rhs_t(IMAGE_DECLARATION(lhs), - IMAGE_DECLARATION(rhs), -#if defined(BETA) - IMAGE_DECLARATION(bias), -#endif // defined(BETA) - IMAGE_DECLARATION(dst), - uint lhs_stride_z, - uint rhs_stride_z, -#if defined(BETA) - uint bias_stride_z, -#endif //defined(BETA) - uint dst_stride_z -#if defined(REINTERPRET_INPUT_AS_3D) - , - uint lhs_cross_plane_pad -#endif // REINTERPRET_INPUT_AS_3D -#if defined(REINTERPRET_OUTPUT_AS_3D) - , - uint dst_cross_plane_pad -#endif // REINTERPRET_OUTPUT_AS_3D - ) -{ - // Block size -#define RHS_BLOCK_SIZE ((K0) * (N0)) - - // RHS offset and step X -#if defined(RHS_INTERLEAVE) -#define RHS_OFFSET_X (K0) -#define RHS_STEP_X ((K0) * (H0)) -#define RHS_STEP_LOOP (1) -#else // defined(RHS_INTERLEAVE) -#define RHS_OFFSET_X (RHS_BLOCK_SIZE) -#define RHS_STEP_X (K0) -#define RHS_STEP_LOOP (H0) -#endif // defined(RHS_INTERLEAVE) - - uint x = get_global_id(0); - uint y = get_global_id(1); - uint z = get_global_id(2); - -#if defined(DUMMY_WORK_ITEMS) - if((x * N0 >= N) || (y * M0 >= M)) - { - return; - } -#endif // defined(DUMMY_WORK_ITEMS) - - // Compute LHS matrix address - uint lhs_offset = lhs_offset_first_element_in_bytes + COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0) * (uint)lhs_stride_y; - - // Compute RHS reshaped matrix address - uint rhs_offset = rhs_offset_first_element_in_bytes + (x % H0) * (uint)RHS_OFFSET_X * sizeof(DATA_TYPE) + (x / (uint)H0) * rhs_stride_y; - -#if defined(MATRIX_B_DEPTH) - // Do not slide matrix B if the matrix B has 3 dimensions and matrix A more than 3 - rhs_offset += (z % MATRIX_B_DEPTH) * rhs_stride_z; -#else // defined(MATRIX_B_DEPTH) - rhs_offset += z * rhs_stride_z; -#endif // defined(MATRIX_B_DEPTH) - - REPEAT_VAR_INIT_TO_CONST(8, uint, zlhs, 0); //uint zlhs0=0,zlhs1=0,zlhs2=0,... zlhs7=0; - REPEAT_VAR_INIT_TO_CONST(16, uint, zero, 0); - -#if defined(REINTERPRET_INPUT_AS_3D) - // The plane (zlhs) is calculated dividing M (y * M0) by HEIGHT_GEMM3D - CALCULATE_Z_OFFSET(M0, uint, zlhs, COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0), HEIGHT_GEMM3D, DEPTH_GEMM3D, lhs_cross_plane_pad, lhs_stride_y); - - // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we - // multiply lhs_stride_z by DEPTH_GEMM3D - lhs_offset += z * lhs_stride_z * DEPTH_GEMM3D; - -#else // defined(REINTERPRET_INPUT_AS_3D) - - // Add offset for batched GEMM - lhs_offset += z * lhs_stride_z; - -#endif // defined(REINTERPRET_INPUT_AS_3D) - - // Initialize the accumulators - REPEAT_VAR_INIT_TO_CONST(M0, VEC_DATA_TYPE(DATA_TYPE, N0), c, 0); //VEC_DATA_TYPE(DATA_TYPE, N0) c0=0,c1=0,c2=0,... c(M0-1)=0; - - int i = 0; - for(; i <= (K - K0); i += K0) - { - // Supported cases (M0, K0): - // 1,2 - 1,3 - 1,4 - 1,8 - 1,16 - // 2,2 - 2,3 - 2,4 - 2,8 - 2,16 - // 3,2 - 3,3 - 3,4 - 3,8 - 3,16 - // 4,2 - 4,3 - 4,4 - 4,8 - 4,16 - // 5,2 - 5,3 - 5,4 - 5,8 - 5,16 - // 6,2 - 6,3 - 6,4 - 6,8 - 6,16 - // 7,2 - 7,3 - 7,4 - 7,8 - 7,16 - // 8,2 - 8,3 - 8,4 - 8,8 - 8,16 - // Load values from LHS matrix - LOAD_BLOCK(M0, K0, DATA_TYPE, a, lhs_ptr, lhs_offset, lhs_stride_y, zlhs); - - // Load values from RHS reshaped matrix - LOAD_BLOCK(N0, K0, DATA_TYPE, b, rhs_ptr, rhs_offset, RHS_STEP_X * sizeof(DATA_TYPE), zero); - - // Accumulate - ARM_DOT_K0XN0(K0, a0, b, c0); -#if M0 > 1 - ARM_DOT_K0XN0(K0, a1, b, c1); -#endif // M0 > 1 -#if M0 > 2 - ARM_DOT_K0XN0(K0, a2, b, c2); -#endif // M0 > 2 -#if M0 > 3 - ARM_DOT_K0XN0(K0, a3, b, c3); -#endif // M0 > 3 -#if M0 > 4 - ARM_DOT_K0XN0(K0, a4, b, c4); -#endif // M0 > 4 -#if M0 > 5 - ARM_DOT_K0XN0(K0, a5, b, c5); -#endif // M0 > 5 -#if M0 > 6 - ARM_DOT_K0XN0(K0, a6, b, c6); -#endif // M0 > 6 -#if M0 > 7 - ARM_DOT_K0XN0(K0, a7, b, c7); -#endif // M0 > 7 - - lhs_offset += K0 * sizeof(DATA_TYPE); - rhs_offset += (N0 * RHS_STEP_X * RHS_STEP_LOOP) * sizeof(DATA_TYPE); - } - - // Left-over accumulations - for(; i < K; ++i) - { - // Load values from LHS matrix - LOAD_BLOCK(M0, 1, DATA_TYPE, a, lhs_ptr, lhs_offset, lhs_stride_y, zlhs); - - // Load values from RHS reshaped matrix - LOAD_BLOCK(N0, 1, DATA_TYPE, b, rhs_ptr, rhs_offset, RHS_STEP_X * sizeof(DATA_TYPE), zero); - - // Accumulate - ARM_DOT_K0XN0(1, a0, b, c0); -#if M0 > 1 - ARM_DOT_K0XN0(1, a1, b, c1); -#endif // M0 > 1 -#if M0 > 2 - ARM_DOT_K0XN0(1, a2, b, c2); -#endif // M0 > 2 -#if M0 > 3 - ARM_DOT_K0XN0(1, a3, b, c3); -#endif // M0 > 3 -#if M0 > 4 - ARM_DOT_K0XN0(1, a4, b, c4); -#endif // M0 > 4 -#if M0 > 5 - ARM_DOT_K0XN0(1, a5, b, c5); -#endif // M0 > 5 -#if M0 > 6 - ARM_DOT_K0XN0(1, a6, b, c6); -#endif // M0 > 6 -#if M0 > 7 - ARM_DOT_K0XN0(1, a7, b, c7); -#endif // M0 > 7 - - lhs_offset += sizeof(DATA_TYPE); - rhs_offset += sizeof(DATA_TYPE); - } - - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + (x * (uint)N0 * sizeof(DATA_TYPE)) + (COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0) * dst_stride_y); - - REPEAT_VAR_INIT_TO_CONST(8, uint, zout, 0); //uint zout0=0,zout1=0,zout2=0,... zout7=0; - -#if defined(REINTERPRET_OUTPUT_AS_3D) - - // The plane (zout) is calculated dividing M (y * M0) by HEIGHT_GEMM3D - CALCULATE_Z_OFFSET(M0, uint, zout, COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0), HEIGHT_GEMM3D, DEPTH_GEMM3D, dst_cross_plane_pad, dst_stride_y); - - // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we - // multiply dst_stride_z by DEPTH_GEMM3D - dst_addr += z * dst_stride_z * DEPTH_GEMM3D; - -#else // defined(REINTERPRET_OUTPUT_AS_3D) - - // Add offset for batched GEMM - dst_addr += z * dst_stride_z; - -#endif // defined(REINTERPRET_OUTPUT_AS_3D) - - // Multiply by the weight of matrix-matrix product and store the result -#if defined(ALPHA) - SCALE_BLOCK(M0, DATA_TYPE, c, ALPHA); -#endif // defined(ALPHA) - - // Add beta*bias -#if defined(BETA) -#if defined(BROADCAST_BIAS) - __global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (get_global_id(0) * (uint)N0 * sizeof(DATA_TYPE)); - - LOAD_BLOCK(1, N0, DATA_TYPE, bias, bias_addr, 0, bias_stride_y, zero); - -#ifndef UNIT_BETA - SCALE_BLOCK(1, DATA_TYPE, bias, BETA); -#endif // UNIT_BIAS - - // c = c + bias[broadcasted] - ADD_BLOCK_BROADCAST(M0, c, bias0); - -#else // defined(BROADCAST_BIAS) - __global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (x * (uint)N0 * sizeof(DATA_TYPE)) + (COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0) * bias_stride_y) + z * bias_stride_z; - - LOAD_BLOCK(M0, N0, DATA_TYPE, bias, bias_addr, 0, bias_stride_y, zero); - -#ifndef UNIT_BETA - SCALE_BLOCK(M0, DATA_TYPE, bias, BETA); -#endif // UNIT_BIAS - - // c = c + bias - ADD_BLOCK(M0, c, bias); - -#endif // defined(BROADCAST_BIAS) -#endif // defined(BETA) - -#if defined(ACTIVATION_TYPE) - ACTIVATION_BLOCK(M0, ACTIVATION_TYPE, DATA_TYPE, VEC_SIZE, c, A_VAL, B_VAL); -#endif // defined(ACTIVATION_TYPE) - - const bool cond_y = y == 0; - const bool cond_x = ((x + 1) * N0 >= N); - - // Store output block - STORE_BLOCK_BOUNDARY_AWARE(M0, N0, DATA_TYPE, c, dst_addr, dst_stride_y, zout, PARTIAL_STORE_M0, PARTIAL_STORE_N0, cond_y, cond_x); - -#undef RHS_BLOCK_SIZE -#undef RHS_OFFSET_X -#undef RHS_STEP_X -} - -#if defined(OPENCL_IMAGE_SUPPORT) -/** This OpenCL kernel computes the matrix multiplication between 2 matrices. The RHS matrix is stored in OpenCL image - * The LHS matrix is NOT reshaped - * The RHS is reshaped with @ref CLGEMMReshapeRHSMatrixKernel and the block K0xN0 is transposed - * - * @note -DOPENCL_IMAGE_SUPPORT must be passed at compile time in order to compile this OpenCL kernel - * @note If the first two dimensions of NDRange have been dispatched with "dummy_work_items" support, the option -DDUMMY_WORK_ITEMS must be passed at compile time. - * @note The GEMM's dimensions (M,N and K) must be passed at compile time using -DM, -DN and and -DK (e.g. -DM=52, -DN=30 and -DK=90) - * @note The height of the RHS matrix, defined before creating the OpenCL image object from the OpenCL buffer, should be passed at compile time using -DRHS_HEIGHT=<value> (e.g. -DRHS_HEIGHT=32) - * Since we cannot create a 3d image from a buffer, the third dimension could be collapsed with the second dimension so RHS_HEIGHT - * could be different from the value returned by get_image_height(rhs_img). - * @note The block's dimensions used for reshaping the RHS matrix (N0 and K0) must be passed at compile time using -DN0 and -DK0 (e.g. -DN0=8, -DK0=4). - * @note The number of M0 rows to process must be passed at compile time using -DM0 (e.g. -DM0=2) - * @note The number of K0xN0 horizontal blocks stored on the same output row of the reshaped RHS matrix must be passed at compile time using -DH0 (e.g. -DH0=2) - * @note If the K0xN0 blocks in the reshaped RHS matrix have been interleaved, the option -DRHS_INTERLEAVE must passed at compile time. - * @note The size of the partial store block in y must be passed at compile time using -DPARTIAL_STORE_M0 (e.g. -DPARTIAL_STORE_M0=1) - * @note The size of the partial store block in x must be passed at compile time using -DPARTIAL_STORE_N0 (e.g. -DPARTIAL_STORE_N0=1) - * @note Only the following configurations of M0, N0 and K0 are currently supported: - * - M0 = 1, 2, 3, 4, 5, 6, 7, 8 - * - N0 = 4, 8, 16 - * - K0 = 4, 8, 16 - * - H0 >= 1 - * - * @note If the activation type were passed at compile time through -DACTIVATION_TYPE (e.g. -DACTIVATION_TYPE=RELU), A, B variables, required by some activation functions, should be passed at compile time as well using -DA_VAL= and -DB_VAL= respectively. - * The activation function is performed after the bias addition - * @note In case the input or output have to be reinterpreted as a 3D tensor, the following information must be passed at compile time: - * -# REINTERPRET_INPUT_AS_3D: To reinterpret the input as 3D - * -# REINTERPRET_OUTPUT_AS_3D: To reinterpret the output as 3D - * -# HEIGHT_GEMM3D: The height of the output in case it has to be reinterpreted as a 3D tensor. - * -# DEPTH_GEMM3D: The depth of the output in case it has to be reinterpreted as a 3D tensor - * (HEIGHT_GEMM3D * DEPTH_GEMM3D) = columns LHS matrix - * - * @param[in] lhs_ptr Pointer to the LHS matrix. Supported data type: F32 - * @param[in] lhs_stride_x Stride of the LHS matrix in X dimension (in bytes) - * @param[in] lhs_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] lhs_stride_y Stride of the LHS matrix in Y dimension (in bytes) - * @param[in] lhs_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] lhs_offset_first_element_in_bytes The offset of the first element in the LHS matrix - * @param[in] rhs_img The RHS reshaped matrix as OpenCL image object. Supported data type: same as @p lhs_ptr - * @param[in] bias_ptr (Optional) Pointer to the bias matrix. Supported data type: same as @p lhs_ptr - * @param[in] bias_stride_x (Optional) Stride of the bias matrix in X dimension (in bytes) - * @param[in] bias_step_x (Optional) bias_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] bias_stride_y (Optional) Stride of the bias matrix in Y dimension (in bytes) - * @param[in] bias_step_y (Optional) bias_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] bias_offset_first_element_in_bytes (Optional) The offset of the first element in the bias matrix - * @param[out] dst_ptr Pointer to the destination matrix Supported data type: same as @p lhs_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_offset_first_element_in_bytes The offset of the first element in the destination matrix - * @param[in] lhs_stride_z Stride of the LHS matrix in Z dimension (in bytes) - * @param[in] rhs_stride_z Stride of the RHS reshaped matrix in Z dimension (in bytes) - * @param[in] bias_stride_z (Optional) Stride of the bias matrix in Z dimension (in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] lhs_cross_plane_pad (Optional) Bottom paddings for LHS matrix in unit of elements (only if defined REINTERPRET_INPUT_AS_3D) - * @param[in] dst_cross_plane_pad (Optional) Bottom paddings for the output matrix in unit of elements (only if defined REINTERPRET_OUTPUT_AS_3D) - */ -__kernel void gemm_mm_reshaped_only_rhs_t_texture(IMAGE_DECLARATION(lhs), - __read_only image2d_t rhs_img, -#if defined(BETA) - IMAGE_DECLARATION(bias), -#endif // defined(BETA) - IMAGE_DECLARATION(dst), - uint lhs_stride_z, - uint rhs_stride_z, -#if defined(BETA) - uint bias_stride_z, -#endif //defined(BETA) - uint dst_stride_z -#if defined(REINTERPRET_INPUT_AS_3D) - , - uint lhs_cross_plane_pad -#endif // REINTERPRET_INPUT_AS_3D -#if defined(REINTERPRET_OUTPUT_AS_3D) - , - uint dst_cross_plane_pad -#endif // REINTERPRET_OUTPUT_AS_3D - ) -{ - // Pixel unit -#define PIXEL_UNIT CONVERT_VECTOR_SIZE_TO_PIXEL_UNIT(K0) - -#define LEFTOVER_K (K % K0) - - // Block size -#define RHS_BLOCK_SIZE (PIXEL_UNIT * (N0)) - - // RHS offset and step X -#if defined(RHS_INTERLEAVE) -#define RHS_OFFSET_X (PIXEL_UNIT) -#define RHS_STEP_X (PIXEL_UNIT * (H0)) -#define RHS_STEP_LOOP (1) -#else // defined(RHS_INTERLEAVE) -#define RHS_OFFSET_X (RHS_BLOCK_SIZE) -#define RHS_STEP_X PIXEL_UNIT -#define RHS_STEP_LOOP (H0) -#endif // defined(RHS_INTERLEAVE) - - uint x = get_global_id(0); - uint y = get_global_id(1); - uint z = get_global_id(2); - -#if defined(DUMMY_WORK_ITEMS) - if((x * N0 >= N) || (y * M0 >= M)) - { - return; - } -#endif // defined(DUMMY_WORK_ITEMS) - - // Compute LHS matrix address - uint lhs_offset = lhs_offset_first_element_in_bytes + COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0) * (uint)lhs_stride_y; - -#if defined(MATRIX_B_DEPTH) - // Do not slide matrix B if the matrix B has 3 dimensions and matrix A more than 3 - const uint z_rhs = (get_global_id(2) % MATRIX_B_DEPTH); -#else // defined(MATRIX_B_DEPTH) - const uint z_rhs = get_global_id(2); -#endif // defined(MATRIX_B_DEPTH) - - // Compute RHS matrix coordinates - uint x_rhs = (get_global_id(0) % H0) * (uint)RHS_OFFSET_X; - const uint y_rhs = (get_global_id(0) / (uint)H0) + z_rhs * RHS_HEIGHT; - - REPEAT_VAR_INIT_TO_CONST(M0, uint, zlhs, 0); - REPEAT_VAR_INIT_TO_CONST(16, uint, zero, 0); - -#if defined(REINTERPRET_INPUT_AS_3D) - // The plane (zlhs) is calculated dividing M (y * M0) by HEIGHT_GEMM3D - CALCULATE_Z_OFFSET(M0, uint, zlhs, COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0), HEIGHT_GEMM3D, DEPTH_GEMM3D, lhs_cross_plane_pad, lhs_stride_y); - - // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we - // multiply lhs_stride_z by DEPTH_GEMM3D - lhs_offset += z * lhs_stride_z * DEPTH_GEMM3D; - -#else // defined(REINTERPRET_INPUT_AS_3D) - - // Add offset for batched GEMM - lhs_offset += z * lhs_stride_z; - -#endif // defined(REINTERPRET_INPUT_AS_3D) - - // Initialize the accumulators - REPEAT_VAR_INIT_TO_CONST(M0, VEC_DATA_TYPE(DATA_TYPE, N0), c, 0); - - int i = 0; - for(; i <= (K - K0); i += K0) - { - // Load values from LHS matrix - LOAD_BLOCK(M0, K0, DATA_TYPE, a, lhs_ptr, lhs_offset, lhs_stride_y, zlhs); - - // Load values from RHS matrix stored in a cl_image - REPEAT_VAR_INIT_TO_CONST(N0, VEC_DATA_TYPE(DATA_TYPE, K0), b, 0); - LOAD_TEXTURE2D(N0, PIXEL_UNIT, DATA_TYPE, b, rhs_img, x_rhs, y_rhs, RHS_STEP_X, 0); - - // Accumulate - ARM_DOT_K0XN0(K0, a0, b, c0); -#if M0 > 1 - ARM_DOT_K0XN0(K0, a1, b, c1); -#endif // M0 > 1 -#if M0 > 2 - ARM_DOT_K0XN0(K0, a2, b, c2); -#endif // M0 > 2 -#if M0 > 3 - ARM_DOT_K0XN0(K0, a3, b, c3); -#endif // M0 > 3 -#if M0 > 4 - ARM_DOT_K0XN0(K0, a4, b, c4); -#endif // M0 > 4 -#if M0 > 5 - ARM_DOT_K0XN0(K0, a5, b, c5); -#endif // M0 > 5 -#if M0 > 6 - ARM_DOT_K0XN0(K0, a6, b, c6); -#endif // M0 > 6 -#if M0 > 7 - ARM_DOT_K0XN0(K0, a7, b, c7); -#endif // M0 > 7 - - lhs_offset += K0 * sizeof(DATA_TYPE); - x_rhs += N0 * RHS_STEP_X * RHS_STEP_LOOP; - } - -#if LEFTOVER_K != 0 - // Note: We cannot read out-of-bound elements from the RHS matrix because - // the RHS width is always multiple of K0. This is not be true for the LHS matrix - - union UNION_VEC_TYPE - { - DATA_TYPE s[K0]; - VEC_DATA_TYPE(DATA_TYPE, K0) - v; - }; - - union UNION_VEC_TYPE a0 = {.v = 0 }; -#if M0 > 1 - union UNION_VEC_TYPE a1 = {.v = 0 }; -#endif // M0 > 1 -#if M0 > 2 - union UNION_VEC_TYPE a2 = {.v = 0 }; -#endif // M0 > 2 -#if M0 > 3 - union UNION_VEC_TYPE a3 = {.v = 0 }; -#endif // M0 > 3 -#if M0 > 4 - union UNION_VEC_TYPE a4 = {.v = 0 }; -#endif // M0 > 4 -#if M0 > 5 - union UNION_VEC_TYPE a5 = {.v = 0 }; -#endif // M0 > 5 -#if M0 > 6 - union UNION_VEC_TYPE a6 = {.v = 0 }; -#endif // M0 > 6 -#if M0 > 7 - union UNION_VEC_TYPE a7 = {.v = 0 }; -#endif // M0 > 7 - - REPEAT_VAR_INIT_TO_CONST(N0, VEC_DATA_TYPE(DATA_TYPE, K0), b, 0); - - // Load from RHS matrix - LOAD_TEXTURE2D(N0, PIXEL_UNIT, DATA_TYPE, b, rhs_img, x_rhs, y_rhs, RHS_STEP_X, 0); - - // Load from LHS matrix - for(int k = 0; k < LEFTOVER_K; ++k) - { - a0.s[k] = *(__global DATA_TYPE *)(lhs_ptr + lhs_offset + 0 * lhs_stride_y + zlhs0); -#if M0 > 1 - a1.s[k] = *(__global DATA_TYPE *)(lhs_ptr + lhs_offset + 1 * lhs_stride_y + zlhs1); -#endif // M0 > 1 -#if M0 > 2 - a2.s[k] = *(__global DATA_TYPE *)(lhs_ptr + lhs_offset + 2 * lhs_stride_y + zlhs2); -#endif // M0 > 2 -#if M0 > 3 - a3.s[k] = *(__global DATA_TYPE *)(lhs_ptr + lhs_offset + 3 * lhs_stride_y + zlhs3); -#endif // M0 > 3 -#if M0 > 4 - a4.s[k] = *(__global DATA_TYPE *)(lhs_ptr + lhs_offset + 4 * lhs_stride_y + zlhs4); -#endif // M0 > 4 -#if M0 > 5 - a5.s[k] = *(__global DATA_TYPE *)(lhs_ptr + lhs_offset + 5 * lhs_stride_y + zlhs5); -#endif // M0 > 5 -#if M0 > 6 - a6.s[k] = *(__global DATA_TYPE *)(lhs_ptr + lhs_offset + 6 * lhs_stride_y + zlhs6); -#endif // M0 > 6 -#if M0 > 7 - a7.s[k] = *(__global DATA_TYPE *)(lhs_ptr + lhs_offset + 7 * lhs_stride_y + zlhs7); -#endif // M0 > 7 - - lhs_offset += sizeof(DATA_TYPE); - } - - // Accumulate - ARM_DOT_K0XN0(K0, a0.v, b, c0); -#if M0 > 1 - ARM_DOT_K0XN0(K0, a1.v, b, c1); -#endif // M0 > 1 -#if M0 > 2 - ARM_DOT_K0XN0(K0, a2.v, b, c2); -#endif // M0 > 2 -#if M0 > 3 - ARM_DOT_K0XN0(K0, a3.v, b, c3); -#endif // M0 > 3 -#if M0 > 4 - ARM_DOT_K0XN0(K0, a4.v, b, c4); -#endif // M0 > 4 -#if M0 > 5 - ARM_DOT_K0XN0(K0, a5.v, b, c5); -#endif // M0 > 5 -#if M0 > 6 - ARM_DOT_K0XN0(K0, a6.v, b, c6); -#endif // M0 > 6 -#if M0 > 7 - ARM_DOT_K0XN0(K0, a7.v, b, c7); -#endif // M0 > 7 - -#endif // LEFTOVER_K != 0 - - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + (x * (uint)N0 * sizeof(DATA_TYPE)) + (COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0) * dst_stride_y); - - REPEAT_VAR_INIT_TO_CONST(M0, uint, zout, 0); //uint zout0=0,zout1=0,zout2=0,... zout7=0; - -#if defined(REINTERPRET_OUTPUT_AS_3D) - - // The plane (zout) is calculated dividing M (y * M0) by HEIGHT_GEMM3D - CALCULATE_Z_OFFSET(M0, uint, zout, COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0), HEIGHT_GEMM3D, DEPTH_GEMM3D, dst_cross_plane_pad, dst_stride_y); - - // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we - // multiply dst_stride_z by DEPTH_GEMM3D - dst_addr += z * dst_stride_z * DEPTH_GEMM3D; - -#else // defined(REINTERPRET_OUTPUT_AS_3D) - - // Add offset for batched GEMM - dst_addr += z * dst_stride_z; - -#endif // defined(REINTERPRET_OUTPUT_AS_3D) - - // Multiply by the weight of matrix-matrix product and store the result -#if defined(ALPHA) - SCALE_BLOCK(M0, DATA_TYPE, c, ALPHA); -#endif // defined(ALPHA) - - // Add beta*bias -#if defined(BETA) -#if defined(BROADCAST_BIAS) - __global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (get_global_id(0) * (uint)N0 * sizeof(DATA_TYPE)); - - LOAD_BLOCK(1, N0, DATA_TYPE, bias, bias_addr, 0, bias_stride_y, zero); - -#ifndef UNIT_BETA - SCALE_BLOCK(1, DATA_TYPE, bias, BETA); -#endif // UNIT_BIAS - - // c = c + bias[broadcasted] - ADD_BLOCK_BROADCAST(M0, c, bias0); - -#else // defined(BROADCAST_BIAS) - __global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (x * (uint)N0 * sizeof(DATA_TYPE)) + (COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0) * bias_stride_y) + z * bias_stride_z; - - LOAD_BLOCK(M0, N0, DATA_TYPE, bias, bias_addr, 0, bias_stride_y, zero); - -#ifndef UNIT_BETA - SCALE_BLOCK(M0, DATA_TYPE, bias, BETA); -#endif // UNIT_BIAS - - // c = c + bias - ADD_BLOCK(M0, c, bias); - -#endif // defined(BROADCAST_BIAS) -#endif // defined(BETA) - -#if defined(ACTIVATION_TYPE) - ACTIVATION_BLOCK(M0, ACTIVATION_TYPE, DATA_TYPE, VEC_SIZE, c, A_VAL, B_VAL); -#endif // defined(ACTIVATION_TYPE) - - const bool cond_y = y == 0; - const bool cond_x = ((x + 1) * N0 >= N); - - // Store output block - STORE_BLOCK_BOUNDARY_AWARE(M0, N0, DATA_TYPE, c, dst_addr, dst_stride_y, zout, PARTIAL_STORE_M0, PARTIAL_STORE_N0, cond_y, cond_x); - -#undef RHS_BLOCK_SIZE -#undef RHS_OFFSET_X -#undef RHS_STEP_X -#undef LEFTOVER_K -#undef PIXEL_UNIT -} -#endif // defined(OPENCL_IMAGE_SUPPORT) - -#define VFMA(a, b, c) \ - ({ \ - c = fma(a, b, c); \ - }) - -#if M0 == 1 -#define VFMA_M0xN0(i, a, b, c) \ - ({ \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \ - }) -#elif M0 == 2 // M0 == 2 -#define VFMA_M0xN0(i, a, b, c) \ - ({ \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \ - }) -#elif M0 == 3 // M0 == 3 -#define VFMA_M0xN0(i, a, b, c) \ - ({ \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##2).s##i), b, (c##2)); \ - }) -#elif M0 == 4 // M0 == 4 -#define VFMA_M0xN0(i, a, b, c) \ - ({ \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##2).s##i), b, (c##2)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##3).s##i), b, (c##3)); \ - }) -#elif M0 == 5 // M0 == 5 -#define VFMA_M0xN0(i, a, b, c) \ - ({ \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##2).s##i), b, (c##2)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##3).s##i), b, (c##3)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##4).s##i), b, (c##4)); \ - }) -#elif M0 == 6 // M0 == 6 -#define VFMA_M0xN0(i, a, b, c) \ - ({ \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##2).s##i), b, (c##2)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##3).s##i), b, (c##3)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##4).s##i), b, (c##4)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##5).s##i), b, (c##5)); \ - }) -#elif M0 == 7 // M0 == 7 -#define VFMA_M0xN0(i, a, b, c) \ - ({ \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##2).s##i), b, (c##2)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##3).s##i), b, (c##3)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##4).s##i), b, (c##4)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##5).s##i), b, (c##5)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##6).s##i), b, (c##6)); \ - }) -#elif M0 == 8 // M0 == 8 -#define VFMA_M0xN0(i, a, b, c) \ - ({ \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##2).s##i), b, (c##2)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##3).s##i), b, (c##3)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##4).s##i), b, (c##4)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##5).s##i), b, (c##5)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##6).s##i), b, (c##6)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##7).s##i), b, (c##7)); \ - }) -#else // M0 not supported -#error "M0 not supported" -#endif // M0 not supported - -/** This OpenCL kernel computes the matrix multiplication between 2 matrices. - * The LHS matrix is NOT reshaped - * The RHS is reshaped with @ref CLGEMMReshapeRHSMatrixKernel and the block K0xN0 is NOT transposed - * - * @note If the first two dimensions of NDRange have been dispatched with "dummy_work_items" support, the option -DDUMMY_WORK_ITEMS must be passed at compile time. - * @note The GEMM's dimensions (M,N and K) must be passed at compile time using -DM, -DN and and -DK (e.g. -DM=52, -DN=30 and -DK=90). - * @note The block's dimensions used for reshaping the RHS matrix (N0 and K0) must be passed at compile time using -DN0 and -DK0 (e.g. -DN0=8, -DK0=4). - * @note The number of M0 rows to process must be passed at compile time using -DM0 (e.g. -DM0=2) - * @note The number of K0xN0 horizontal blocks stored on the same output row of the reshaped RHS matrix must be passed at compile time using -DH0 (e.g. -DH0=2) - * @note If the K0xN0 blocks in the reshaped RHS matrix have been interleaved, the option -DRHS_INTERLEAVE must passed at compile time. - * @note The size of the partial store block in y must be passed at compile time using -DPARTIAL_STORE_M0 (e.g. -DPARTIAL_STORE_M0=1) - * @note The size of the partial store block in x must be passed at compile time using -DPARTIAL_STORE_N0 (e.g. -DPARTIAL_STORE_N0=1) - * @note Only the following configurations of M0, N0 and K0 are currently supported: - * - M0 = 1, 2, 3, 4, 5, 6, 7, 8 - * - N0 = 2, 3, 4, 8, 16 - * - K0 = 2, 3, 4, 8, 16 - * - H0 >= 1 - * - * @note If the activation type were passed at compile time through -DACTIVATION_TYPE (e.g. -DACTIVATION_TYPE=RELU), A, B variables, required by some activation functions, should be passed at compile time as well using -DA_VAL= and -DB_VAL= respectively. - * The activation function is performed after the bias addition - * @note In case the input or output have to be reinterpreted as a 3D tensor, the following information must be passed at compile time: - * -# REINTERPRET_INPUT_AS_3D: To reinterpret the input as 3D - * -# REINTERPRET_OUTPUT_AS_3D: To reinterpret the output as 3D - * -# HEIGHT_GEMM3D: The height of the output in case it has to be reinterpreted as a 3D tensor. - * -# DEPTH_GEMM3D: The depth of the output in case it has to be reinterpreted as a 3D tensor - * (HEIGHT_GEMM3D * DEPTH_GEMM3D) = columns LHS matrix - * - * @param[in] lhs_ptr Pointer to the LHS matrix. Supported data type: F16/F32 - * @param[in] lhs_stride_x Stride of the LHS matrix in X dimension (in bytes) - * @param[in] lhs_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] lhs_stride_y Stride of the LHS matrix in Y dimension (in bytes) - * @param[in] lhs_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] lhs_offset_first_element_in_bytes The offset of the first element in the LHS matrix - * @param[in] rhs_ptr Pointer to the RHS reshaped matrix. Supported data type: same as @p lhs_ptr - * @param[in] rhs_stride_x Stride of the RHS reshaped matrix in X dimension (in bytes) - * @param[in] rhs_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] rhs_stride_y Stride of the RHS reshaped matrix in Y dimension (in bytes) - * @param[in] rhs_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] rhs_offset_first_element_in_bytes The offset of the first element in the RHS reshaped matrix - * @param[in] bias_ptr (Optional) Pointer to the bias matrix. Supported data type: same as @p lhs_ptr - * @param[in] bias_stride_x (Optional) Stride of the bias matrix in X dimension (in bytes) - * @param[in] bias_step_x (Optional) bias_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] bias_stride_y (Optional) Stride of the bias matrix in Y dimension (in bytes) - * @param[in] bias_step_y (Optional) bias_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] bias_offset_first_element_in_bytes (Optional) The offset of the first element in the bias matrix - * @param[out] dst_ptr Pointer to the destination matrix Supported data type: same as @p lhs_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_offset_first_element_in_bytes The offset of the first element in the destination matrix - * @param[in] lhs_stride_z Stride of the LHS matrix in Z dimension (in bytes) - * @param[in] rhs_stride_z Stride of the RHS reshaped matrix in Z dimension (in bytes) - * @param[in] bias_stride_z (Optional) Stride of the bias matrix in Z dimension (in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] lhs_cross_plane_pad (Optional) Bottom paddings for LHS matrix in unit of elements (only if defined REINTERPRET_INPUT_AS_3D) - * @param[in] dst_cross_plane_pad (Optional) Bottom paddings for the output matrix in unit of elements (only if defined REINTERPRET_OUTPUT_AS_3D) - */ -__kernel void gemm_mm_reshaped_only_rhs_nt(IMAGE_DECLARATION(lhs), - IMAGE_DECLARATION(rhs), -#if defined(BETA) - IMAGE_DECLARATION(bias), -#endif // defined(BETA) - IMAGE_DECLARATION(dst), - uint lhs_stride_z, - uint rhs_stride_z, -#if defined(BETA) - uint bias_stride_z, -#endif //defined(BETA) - uint dst_stride_z -#if defined(REINTERPRET_INPUT_AS_3D) - , - uint lhs_cross_plane_pad -#endif // REINTERPRET_INPUT_AS_3D -#if defined(REINTERPRET_OUTPUT_AS_3D) - , - uint dst_cross_plane_pad -#endif // REINTERPRET_OUTPUT_AS_3D - ) -{ - // Block size -#define RHS_BLOCK_SIZE ((K0) * (N0)) - - // RHS offset and step X -#if defined(RHS_INTERLEAVE) -#define RHS_OFFSET_X (N0) -#define RHS_STEP_X ((N0) * (H0)) -#define RHS_STEP_LOOP (1) -#else // defined(RHS_INTERLEAVE) -#define RHS_OFFSET_X (RHS_BLOCK_SIZE) -#define RHS_STEP_X (N0) -#define RHS_STEP_LOOP (H0) -#endif // defined(RHS_INTERLEAVE) - - uint x = get_global_id(0); - uint y = get_global_id(1); - uint z = get_global_id(2); - -#if defined(DUMMY_WORK_ITEMS) - if((x * N0 >= N) || (y * M0 >= M)) - { - return; - } -#endif // defined(DUMMY_WORK_ITEMS) - - // Compute LHS matrix address - uint lhs_offset = lhs_offset_first_element_in_bytes + COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0) * (uint)lhs_stride_y; - - // Compute RHS reshaped matrix address - uint rhs_offset = rhs_offset_first_element_in_bytes + (x % H0) * (uint)RHS_OFFSET_X * sizeof(DATA_TYPE) + (x / (uint)H0) * rhs_stride_y; - -#if defined(MATRIX_B_DEPTH) - // Do not slide matrix B if the matrix B has 3 dimensions and matrix A more than 3 - rhs_offset += (z % MATRIX_B_DEPTH) * rhs_stride_z; -#else // defined(MATRIX_B_DEPTH) - rhs_offset += z * rhs_stride_z; -#endif // defined(MATRIX_B_DEPTH) - - REPEAT_VAR_INIT_TO_CONST(8, uint, zin, 0); //uint zin0=0,zin1=0,zin2=0,... zin7=0; - REPEAT_VAR_INIT_TO_CONST(16, uint, zero, 0); //uint zero0=0,zero1=0,zero2=0,... zero7=0; - -#if defined(REINTERPRET_INPUT_AS_3D) - - // The plane (zin) is calculated dividing M (y * M0) by HEIGHT_GEMM3D - CALCULATE_Z_OFFSET(M0, uint, zin, COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0), HEIGHT_GEMM3D, DEPTH_GEMM3D, lhs_cross_plane_pad, lhs_stride_y); - - // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we - // multiply lhs_stride_z by DEPTH_GEMM3D - lhs_offset += z * lhs_stride_z * DEPTH_GEMM3D; - -#else // defined(REINTERPRET_INPUT_AS_3D) - - // Add offset for batched GEMM - lhs_offset += z * lhs_stride_z; - -#endif // defined(REINTERPRET_INPUT_AS_3D) - - // Initialize the accumulators - REPEAT_VAR_INIT_TO_CONST(M0, VEC_DATA_TYPE(DATA_TYPE, N0), c, 0); //VEC_DATA_TYPE(DATA_TYPE, N0) c0=0,c1=0,c2=0,... c(N0-1)=0; - - int i = 0; - for(; i <= (K - K0); i += K0) - { - // Supported cases (M0, K0): - // 1,2 - 1,3 - 1,4 - 1,8 - 1,16 - // 2,2 - 2,3 - 2,4 - 2,8 - 2,16 - // 3,2 - 3,3 - 3,4 - 3,8 - 3,16 - // 4,2 - 4,3 - 4,4 - 4,8 - 4,16 - // 5,2 - 5,3 - 5,4 - 5,8 - 5,16 - // 6,2 - 6,3 - 6,4 - 6,8 - 6,16 - // 7,2 - 7,3 - 7,4 - 7,8 - 7,16 - // 8,2 - 8,3 - 8,4 - 8,8 - 8,16 - // Load values from LHS matrix - LOAD_BLOCK(M0, K0, DATA_TYPE, a, lhs_ptr, lhs_offset, lhs_stride_y, zin); - - VEC_DATA_TYPE(DATA_TYPE, N0) - b0; - - b0 = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 0 * RHS_STEP_X * sizeof(DATA_TYPE))); - VFMA_M0xN0(0, a, b0, c); - b0 = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 1 * RHS_STEP_X * sizeof(DATA_TYPE))); - VFMA_M0xN0(1, a, b0, c); -#if K0 > 2 - b0 = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 2 * RHS_STEP_X * sizeof(DATA_TYPE))); - VFMA_M0xN0(2, a, b0, c); -#endif // K0 > 2 -#if K0 > 3 - b0 = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 3 * RHS_STEP_X * sizeof(DATA_TYPE))); - VFMA_M0xN0(3, a, b0, c); -#endif // K0 > 3 -#if K0 > 4 - b0 = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 4 * RHS_STEP_X * sizeof(DATA_TYPE))); - VFMA_M0xN0(4, a, b0, c); - b0 = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 5 * RHS_STEP_X * sizeof(DATA_TYPE))); - VFMA_M0xN0(5, a, b0, c); - b0 = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 6 * RHS_STEP_X * sizeof(DATA_TYPE))); - VFMA_M0xN0(6, a, b0, c); - b0 = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 7 * RHS_STEP_X * sizeof(DATA_TYPE))); - VFMA_M0xN0(7, a, b0, c); -#endif // K0 > 4 -#if K0 > 8 - b0 = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 8 * RHS_STEP_X * sizeof(DATA_TYPE))); - VFMA_M0xN0(8, a, b0, c); - b0 = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 9 * RHS_STEP_X * sizeof(DATA_TYPE))); - VFMA_M0xN0(9, a, b0, c); - b0 = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 10 * RHS_STEP_X * sizeof(DATA_TYPE))); - VFMA_M0xN0(A, a, b0, c); - b0 = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 11 * RHS_STEP_X * sizeof(DATA_TYPE))); - VFMA_M0xN0(B, a, b0, c); - b0 = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 12 * RHS_STEP_X * sizeof(DATA_TYPE))); - VFMA_M0xN0(C, a, b0, c); - b0 = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 13 * RHS_STEP_X * sizeof(DATA_TYPE))); - VFMA_M0xN0(D, a, b0, c); - b0 = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 14 * RHS_STEP_X * sizeof(DATA_TYPE))); - VFMA_M0xN0(E, a, b0, c); - b0 = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 15 * RHS_STEP_X * sizeof(DATA_TYPE))); - VFMA_M0xN0(F, a, b0, c); -#endif // K0 > 8 - - lhs_offset += K0 * sizeof(DATA_TYPE); - rhs_offset += K0 * RHS_STEP_X * RHS_STEP_LOOP * sizeof(DATA_TYPE); - } - - // Left-over accumulations - for(; i < K; ++i) - { - // Load values from LHS matrix - VEC_DATA_TYPE(DATA_TYPE, 2) - a0 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 0 * lhs_stride_y + zin0)); -#if M0 > 1 - VEC_DATA_TYPE(DATA_TYPE, 2) - a1 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 1 * lhs_stride_y + zin1)); -#endif // M0 > 1 -#if M0 > 2 - VEC_DATA_TYPE(DATA_TYPE, 2) - a2 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 2 * lhs_stride_y + zin2)); -#endif // M0 > 2 -#if M0 > 3 - VEC_DATA_TYPE(DATA_TYPE, 2) - a3 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 3 * lhs_stride_y + zin3)); -#endif // M0 > 3 -#if M0 > 4 - VEC_DATA_TYPE(DATA_TYPE, 2) - a4 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 4 * lhs_stride_y + zin4)); -#endif // M0 > 4 -#if M0 > 5 - VEC_DATA_TYPE(DATA_TYPE, 2) - a5 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 5 * lhs_stride_y + zin5)); -#endif // M0 > 5 -#if M0 > 6 - VEC_DATA_TYPE(DATA_TYPE, 2) - a6 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 6 * lhs_stride_y + zin6)); -#endif // M0 > 6 -#if M0 > 7 - VEC_DATA_TYPE(DATA_TYPE, 2) - a7 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 7 * lhs_stride_y + zin7)); -#endif // M0 > 7 - - VEC_DATA_TYPE(DATA_TYPE, N0) - b0; - - b0 = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 0 * RHS_STEP_X * sizeof(DATA_TYPE))); - VFMA_M0xN0(0, a, b0, c); - - lhs_offset += sizeof(DATA_TYPE); - rhs_offset += RHS_STEP_X * sizeof(DATA_TYPE); - } - - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + (x * (uint)N0 * sizeof(DATA_TYPE)) + (COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0) * dst_stride_y); - - REPEAT_VAR_INIT_TO_CONST(8, uint, zout, 0); //uint zout0=0,zout1=0,zout2=0,... zout7=0; - -#if defined(REINTERPRET_OUTPUT_AS_3D) - // The plane (zout) is calculated dividing M (y * M0) by HEIGHT_GEMM3D - CALCULATE_Z_OFFSET(M0, uint, zout, COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0), HEIGHT_GEMM3D, DEPTH_GEMM3D, dst_cross_plane_pad, dst_stride_y); - - // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we - // multiply dst_stride_z by DEPTH_GEMM3D - dst_addr += z * dst_stride_z * DEPTH_GEMM3D; - -#else // defined(REINTERPRET_OUTPUT_AS_3D) - - // Add offset for batched GEMM - dst_addr += z * dst_stride_z; - -#endif // defined(REINTERPRET_OUTPUT_AS_3D) - - // Multiply by the weight of matrix-matrix product and store the result -#if defined(ALPHA) - SCALE_BLOCK(M0, DATA_TYPE, c, ALPHA); -#endif // defined(ALPHA) - - // Add beta*bias -#if defined(BETA) -#if defined(BROADCAST_BIAS) - __global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (get_global_id(0) * (uint)N0 * sizeof(DATA_TYPE)); - - LOAD_BLOCK(1, N0, DATA_TYPE, bias, bias_addr, 0, bias_stride_y, zero); - -#ifndef UNIT_BETA - SCALE_BLOCK(1, DATA_TYPE, bias, BETA); -#endif // UNIT_BIAS - - // c = c + bias[broadcasted] - ADD_BLOCK_BROADCAST(M0, c, bias0); - -#else // defined(BROADCAST_BIAS) - __global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (x * (uint)N0 * sizeof(DATA_TYPE)) + (COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0) * bias_stride_y) + z * bias_stride_z; - - LOAD_BLOCK(M0, N0, DATA_TYPE, bias, bias_addr, 0, bias_stride_y, zero); - -#ifndef UNIT_BETA - SCALE_BLOCK(M0, DATA_TYPE, bias, BETA); -#endif // UNIT_BIAS - - // c = c + bias - ADD_BLOCK(M0, c, bias); - -#endif // defined(BROADCAST_BIAS) -#endif // defined(BETA) - -#if defined(ACTIVATION_TYPE) - ACTIVATION_BLOCK(M0, ACTIVATION_TYPE, DATA_TYPE, VEC_SIZE, c, A_VAL, B_VAL); -#endif // defined(ACTIVATION_TYPE) - - const bool cond_y = y == 0; - const bool cond_x = ((x + 1) * N0 >= N); - - // Store output block - STORE_BLOCK_BOUNDARY_AWARE(M0, N0, DATA_TYPE, c, dst_addr, dst_stride_y, zout, PARTIAL_STORE_M0, PARTIAL_STORE_N0, cond_y, cond_x); - -#undef RHS_BLOCK_SIZE -#undef RHS_OFFSET_X -#undef RHS_STEP_X -} - -#if defined(OPENCL_IMAGE_SUPPORT) -/** This OpenCL kernel computes the matrix multiplication between 2 matrices. - * The LHS matrix is NOT reshaped - * The RHS is reshaped with @ref CLGEMMReshapeRHSMatrixKernel and the block K0xN0 is NOT transposed - * - * @note -DOPENCL_IMAGE_SUPPORT must be passed at compile time in order to compile this OpenCL kernel - * @note If the first two dimensions of NDRange have been dispatched with "dummy_work_items" support, the option -DDUMMY_WORK_ITEMS must be passed at compile time. - * @note The GEMM's dimensions (M,N and K) must be passed at compile time using -DM, -DN and and -DK (e.g. -DM=52, -DN=30 and -DK=90). - * @note The height of the RHS matrix, defined before creating the OpenCL image object from the OpenCL buffer, should be passed at compile time using -DRHS_HEIGHT=<value> (e.g. -DRHS_HEIGHT=32) - * Since we cannot create a 3d image from a buffer, the third dimension could be collapsed with the second dimension so RHS_HEIGHT - * could be different from the value returned by get_image_height(rhs_img). - * @note The block's dimensions used for reshaping the RHS matrix (N0 and K0) must be passed at compile time using -DN0 and -DK0 (e.g. -DN0=8, -DK0=4). - * @note The number of M0 rows to process must be passed at compile time using -DM0 (e.g. -DM0=2) - * @note The number of K0xN0 horizontal blocks stored on the same output row of the reshaped RHS matrix must be passed at compile time using -DH0 (e.g. -DH0=2) - * @note If the K0xN0 blocks in the reshaped RHS matrix have been interleaved, the option -DRHS_INTERLEAVE must passed at compile time. - * @note The size of the partial store block in y must be passed at compile time using -DPARTIAL_STORE_M0 (e.g. -DPARTIAL_STORE_M0=1) - * @note The size of the partial store block in x must be passed at compile time using -DPARTIAL_STORE_N0 (e.g. -DPARTIAL_STORE_N0=1) - * @note Only the following configurations of M0, N0 and K0 are currently supported: - * - M0 = 1, 2, 3, 4, 5, 6, 7, 8 - * - N0 = 4, 8, 16 - * - K0 = 4, 8, 16 - * - H0 >= 1 - * - * @note If the activation type were passed at compile time through -DACTIVATION_TYPE (e.g. -DACTIVATION_TYPE=RELU), A, B variables, required by some activation functions, should be passed at compile time as well using -DA_VAL= and -DB_VAL= respectively. - * The activation function is performed after the bias addition - * @note In case the input or output have to be reinterpreted as a 3D tensor, the following information must be passed at compile time: - * -# REINTERPRET_INPUT_AS_3D: To reinterpret the input as 3D - * -# REINTERPRET_OUTPUT_AS_3D: To reinterpret the output as 3D - * -# HEIGHT_GEMM3D: The height of the output in case it has to be reinterpreted as a 3D tensor. - * -# DEPTH_GEMM3D: The depth of the output in case it has to be reinterpreted as a 3D tensor - * (HEIGHT_GEMM3D * DEPTH_GEMM3D) = columns LHS matrix - * - * @param[in] lhs_ptr Pointer to the LHS matrix. Supported data type: F32 - * @param[in] lhs_stride_x Stride of the LHS matrix in X dimension (in bytes) - * @param[in] lhs_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] lhs_stride_y Stride of the LHS matrix in Y dimension (in bytes) - * @param[in] lhs_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] lhs_offset_first_element_in_bytes The offset of the first element in the LHS matrix - * @param[in] rhs_img The RHS reshaped matrix as OpenCL image object. Supported data type: same as @p lhs_ptr - * @param[in] bias_ptr (Optional) Pointer to the bias matrix. Supported data type: same as @p lhs_ptr - * @param[in] bias_stride_x (Optional) Stride of the bias matrix in X dimension (in bytes) - * @param[in] bias_step_x (Optional) bias_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] bias_stride_y (Optional) Stride of the bias matrix in Y dimension (in bytes) - * @param[in] bias_step_y (Optional) bias_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] bias_offset_first_element_in_bytes (Optional) The offset of the first element in the bias matrix - * @param[out] dst_ptr Pointer to the destination matrix Supported data type: same as @p lhs_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_offset_first_element_in_bytes The offset of the first element in the destination matrix - * @param[in] lhs_stride_z Stride of the LHS matrix in Z dimension (in bytes) - * @param[in] rhs_stride_z Stride of the RHS reshaped matrix in Z dimension (in bytes) - * @param[in] bias_stride_z (Optional) Stride of the bias matrix in Z dimension (in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] lhs_cross_plane_pad (Optional) Bottom paddings for LHS matrix in unit of elements (only if defined REINTERPRET_INPUT_AS_3D) - * @param[in] dst_cross_plane_pad (Optional) Bottom paddings for the output matrix in unit of elements (only if defined REINTERPRET_OUTPUT_AS_3D) - */ -__kernel void gemm_mm_reshaped_only_rhs_nt_texture(IMAGE_DECLARATION(lhs), - __read_only image2d_t rhs_img, -#if defined(BETA) - IMAGE_DECLARATION(bias), -#endif // defined(BETA) - IMAGE_DECLARATION(dst), - uint lhs_stride_z, - uint rhs_stride_z, -#if defined(BETA) - uint bias_stride_z, -#endif //defined(BETA) - uint dst_stride_z -#if defined(REINTERPRET_INPUT_AS_3D) - , - uint lhs_cross_plane_pad -#endif // REINTERPRET_INPUT_AS_3D -#if defined(REINTERPRET_OUTPUT_AS_3D) - , - uint dst_cross_plane_pad -#endif // REINTERPRET_OUTPUT_AS_3D - ) -{ - // Pixel unit -#define PIXEL_UNIT CONVERT_VECTOR_SIZE_TO_PIXEL_UNIT(N0) - - // Block size -#define RHS_BLOCK_SIZE ((K0) * (PIXEL_UNIT)) - - // RHS offset and step X -#if defined(RHS_INTERLEAVE) -#define RHS_OFFSET_X (PIXEL_UNIT) -#define RHS_STEP_X ((PIXEL_UNIT) * (H0)) -#else // defined(RHS_INTERLEAVE) -#define RHS_OFFSET_X (RHS_BLOCK_SIZE) -#define RHS_STEP_X (PIXEL_UNIT) -#endif // defined(RHS_INTERLEAVE) - - uint x = get_global_id(0); - uint y = get_global_id(1); - uint z = get_global_id(2); - -#if defined(DUMMY_WORK_ITEMS) - if((x * N0 >= N) || (y * M0 >= M)) - { - return; - } -#endif // defined(DUMMY_WORK_ITEMS) - - // Compute LHS matrix address - uint lhs_offset = lhs_offset_first_element_in_bytes + COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0) * (uint)lhs_stride_y; - -#if defined(MATRIX_B_DEPTH) - // Do not slide matrix B if the matrix B has 3 dimensions and matrix A more than 3 - const uint z_rhs = (z % MATRIX_B_DEPTH); -#else // defined(MATRIX_B_DEPTH) - const uint z_rhs = z; -#endif // defined(MATRIX_B_DEPTH) - - // Compute RHS matrix coordinates - uint x_rhs = (x % H0) * (uint)RHS_OFFSET_X; - const uint y_rhs = (x / (uint)H0) + z_rhs * RHS_HEIGHT; - - REPEAT_VAR_INIT_TO_CONST(8, uint, zin, 0); - REPEAT_VAR_INIT_TO_CONST(16, uint, zero, 0); - -#if defined(REINTERPRET_INPUT_AS_3D) - - // The plane (zin) is calculated dividing M (y * M0) by HEIGHT_GEMM3D - CALCULATE_Z_OFFSET(M0, uint, zin, COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0), HEIGHT_GEMM3D, DEPTH_GEMM3D, lhs_cross_plane_pad, lhs_stride_y); - - // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we - // multiply lhs_stride_z by DEPTH_GEMM3D - lhs_offset += z * lhs_stride_z * DEPTH_GEMM3D; - -#else // defined(REINTERPRET_INPUT_AS_3D) - - // Add offset for batched GEMM - lhs_offset += z * lhs_stride_z; - -#endif // defined(REINTERPRET_INPUT_AS_3D) - - // Initialize the accumulators - REPEAT_VAR_INIT_TO_CONST(M0, VEC_DATA_TYPE(DATA_TYPE, N0), c, 0); - - int i = 0; - for(; i <= (K - K0); i += K0) - { - // Load values from LHS matrix - LOAD_BLOCK(M0, K0, DATA_TYPE, a, lhs_ptr, lhs_offset, lhs_stride_y, zin); - - VEC_DATA_TYPE(DATA_TYPE, N0) - b0; - - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 0 * RHS_STEP_X), (y_rhs)); - VFMA_M0xN0(0, a, b0, c); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 1 * RHS_STEP_X), (y_rhs)); - VFMA_M0xN0(1, a, b0, c); -#if K0 > 2 - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 2 * RHS_STEP_X), (y_rhs)); - VFMA_M0xN0(2, a, b0, c); -#endif // K0 > 2 -#if K0 > 3 - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 3 * RHS_STEP_X), (y_rhs)); - VFMA_M0xN0(3, a, b0, c); -#endif // K0 > 3 -#if K0 > 4 - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 4 * RHS_STEP_X), (y_rhs)); - VFMA_M0xN0(4, a, b0, c); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 5 * RHS_STEP_X), (y_rhs)); - VFMA_M0xN0(5, a, b0, c); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 6 * RHS_STEP_X), (y_rhs)); - VFMA_M0xN0(6, a, b0, c); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 7 * RHS_STEP_X), (y_rhs)); - VFMA_M0xN0(7, a, b0, c); -#endif // K0 > 4 -#if K0 > 8 - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 8 * RHS_STEP_X), (y_rhs)); - VFMA_M0xN0(8, a, b0, c); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 9 * RHS_STEP_X), (y_rhs)); - VFMA_M0xN0(9, a, b0, c); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 10 * RHS_STEP_X), (y_rhs)); - VFMA_M0xN0(A, a, b0, c); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 11 * RHS_STEP_X), (y_rhs)); - VFMA_M0xN0(B, a, b0, c); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 12 * RHS_STEP_X), (y_rhs)); - VFMA_M0xN0(C, a, b0, c); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 13 * RHS_STEP_X), (y_rhs)); - VFMA_M0xN0(D, a, b0, c); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 14 * RHS_STEP_X), (y_rhs)); - VFMA_M0xN0(E, a, b0, c); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 15 * RHS_STEP_X), (y_rhs)); - VFMA_M0xN0(F, a, b0, c); -#endif // K0 > 8 - - lhs_offset += K0 * sizeof(DATA_TYPE); - x_rhs += K0 * RHS_STEP_X * RHS_STEP_LOOP; - } - - // Left-over accumulations - for(; i < K; ++i) - { - // Load values from LHS matrix - VEC_DATA_TYPE(DATA_TYPE, 2) - a0 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 0 * lhs_stride_y + zin0)); -#if M0 > 1 - VEC_DATA_TYPE(DATA_TYPE, 2) - a1 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 1 * lhs_stride_y + zin1)); -#endif // M0 > 1 -#if M0 > 2 - VEC_DATA_TYPE(DATA_TYPE, 2) - a2 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 2 * lhs_stride_y + zin2)); -#endif // M0 > 2 -#if M0 > 3 - VEC_DATA_TYPE(DATA_TYPE, 2) - a3 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 3 * lhs_stride_y + zin3)); -#endif // M0 > 3 -#if M0 > 4 - VEC_DATA_TYPE(DATA_TYPE, 2) - a4 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 4 * lhs_stride_y + zin4)); -#endif // M0 > 4 -#if M0 > 5 - VEC_DATA_TYPE(DATA_TYPE, 2) - a5 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 5 * lhs_stride_y + zin5)); -#endif // M0 > 5 -#if M0 > 6 - VEC_DATA_TYPE(DATA_TYPE, 2) - a6 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 6 * lhs_stride_y + zin6)); -#endif // M0 > 6 -#if M0 > 7 - VEC_DATA_TYPE(DATA_TYPE, 2) - a7 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 7 * lhs_stride_y + zin7)); -#endif // M0 > 7 - - VEC_DATA_TYPE(DATA_TYPE, N0) - b0; - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 0 * RHS_STEP_X), (y_rhs)); - - VFMA_M0xN0(0, a, b0, c); - - lhs_offset += sizeof(DATA_TYPE); - x_rhs += RHS_STEP_X; - } - - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + (x * (uint)N0 * sizeof(DATA_TYPE)) + (COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0) * dst_stride_y); - - REPEAT_VAR_INIT_TO_CONST(8, uint, zout, 0); //uint zout0=0,zout1=0,zout2=0,... zout7=0; - -#if defined(REINTERPRET_OUTPUT_AS_3D) - // The plane (zout) is calculated dividing M (y * M0) by HEIGHT_GEMM3D - CALCULATE_Z_OFFSET(M0, uint, zout, COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0), HEIGHT_GEMM3D, DEPTH_GEMM3D, dst_cross_plane_pad, dst_stride_y); - - // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we - // multiply dst_stride_z by DEPTH_GEMM3D - dst_addr += z * dst_stride_z * DEPTH_GEMM3D; - -#else // defined(REINTERPRET_OUTPUT_AS_3D) - - // Add offset for batched GEMM - dst_addr += z * dst_stride_z; - -#endif // defined(REINTERPRET_OUTPUT_AS_3D) - - // Multiply by the weight of matrix-matrix product and store the result -#if defined(ALPHA) - SCALE_BLOCK(M0, DATA_TYPE, c, ALPHA); -#endif // defined(ALPHA) - - // Add beta*bias -#if defined(BETA) -#if defined(BROADCAST_BIAS) - __global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (get_global_id(0) * (uint)N0 * sizeof(DATA_TYPE)); - - LOAD_BLOCK(1, N0, DATA_TYPE, bias, bias_addr, 0, bias_stride_y, zero); - -#ifndef UNIT_BETA - SCALE_BLOCK(1, DATA_TYPE, bias, BETA); -#endif // UNIT_BIAS - - // c = c + bias[broadcasted] - ADD_BLOCK_BROADCAST(M0, c, bias0); - -#else // defined(BROADCAST_BIAS) - __global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (x * (uint)N0 * sizeof(DATA_TYPE)) + (COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0) * bias_stride_y) + z * bias_stride_z; - - LOAD_BLOCK(M0, N0, DATA_TYPE, bias, bias_addr, 0, bias_stride_y, zero); - -#ifndef UNIT_BETA - SCALE_BLOCK(M0, DATA_TYPE, bias, BETA); -#endif // UNIT_BIAS - - // c = c + bias - ADD_BLOCK(M0, c, bias); - -#endif // defined(BROADCAST_BIAS) -#endif // defined(BETA) - -#if defined(ACTIVATION_TYPE) - ACTIVATION_BLOCK(M0, ACTIVATION_TYPE, DATA_TYPE, VEC_SIZE, c, A_VAL, B_VAL); -#endif // defined(ACTIVATION_TYPE) - - const bool cond_y = y == 0; - const bool cond_x = ((x + 1) * N0 >= N); - - // Store output block - STORE_BLOCK_BOUNDARY_AWARE(M0, N0, DATA_TYPE, c, dst_addr, dst_stride_y, zout, PARTIAL_STORE_M0, PARTIAL_STORE_N0, cond_y, cond_x); - -#undef RHS_BLOCK_SIZE -#undef RHS_OFFSET_X -#undef RHS_STEP_X -} -#endif // defined(OPENCL_IMAGE_SUPPORT) -#endif // defined(M0) && defined(N0) && defined(K0) && defined(H0) && defined(DATA_TYPE) && defined(M) && defined(N) && defined(K) - -#if defined(M0) && defined(N0) && defined(K0) && defined(V0) && defined(H0) && defined(DATA_TYPE) && defined(DATA_TYPE_ACCUMULATOR) && defined(M) && defined(N) - -#if defined(MIXED_PRECISION) -#if K0 == 2 -#define ARM_DOT_K0(a, b, c) \ - ({ \ - c += a.s0 * b.s0; \ - c += a.s1 * b.s1; \ - }) -#elif K0 == 3 // K0 == 3 -#define ARM_DOT_K0(a, b, c) \ - ({ \ - c += a.s0 * b.s0; \ - c += a.s1 * b.s1; \ - c += a.s2 * b.s2; \ - }) -#elif K0 == 4 // K0 == 4 -#define ARM_DOT_K0(a, b, c) \ - ({ \ - c += a.s0 * b.s0; \ - c += a.s1 * b.s1; \ - c += a.s2 * b.s2; \ - c += a.s3 * b.s3; \ - }) -#elif K0 == 8 // K0 == 8 -#define ARM_DOT_K0(a, b, c) \ - ({ \ - c += a.s0 * b.s0; \ - c += a.s1 * b.s1; \ - c += a.s2 * b.s2; \ - c += a.s3 * b.s3; \ - c += a.s4 * b.s4; \ - c += a.s5 * b.s5; \ - c += a.s6 * b.s6; \ - c += a.s7 * b.s7; \ - }) -#elif K0 == 16 // K0 == 16 -#define ARM_DOT_K0(a, b, c) \ - ({ \ - c += a.s0 * b.s0; \ - c += a.s1 * b.s1; \ - c += a.s2 * b.s2; \ - c += a.s3 * b.s3; \ - c += a.s4 * b.s4; \ - c += a.s5 * b.s5; \ - c += a.s6 * b.s6; \ - c += a.s7 * b.s7; \ - c += a.s8 * b.s8; \ - c += a.s9 * b.s9; \ - c += a.sA * b.sA; \ - c += a.sB * b.sB; \ - c += a.sC * b.sC; \ - c += a.sD * b.sD; \ - c += a.sE * b.sE; \ - c += a.sF * b.sF; \ - }) -#else // K0 not supported -#error "K0 value not supported" -#endif // K0 conditions -#else // defined(MIXED_PRECISION) -#if K0 == 2 -#define ARM_DOT_K0(a, b, c) \ - ({ \ - c = fma(a.s0, b.s0, c); \ - c = fma(a.s1, b.s1, c); \ - }) -#elif K0 == 3 // K0 == 3 -#define ARM_DOT_K0(a, b, c) \ - ({ \ - c = fma(a.s0, b.s0, c); \ - c = fma(a.s1, b.s1, c); \ - c = fma(a.s2, b.s2, c); \ - }) -#elif K0 == 4 // K0 == 4 -#define ARM_DOT_K0(a, b, c) \ - ({ \ - c = fma(a.s0, b.s0, c); \ - c = fma(a.s1, b.s1, c); \ - c = fma(a.s2, b.s2, c); \ - c = fma(a.s3, b.s3, c); \ - }) -#elif K0 == 8 // K0 == 8 -#define ARM_DOT_K0(a, b, c) \ - ({ \ - c = fma(a.s0, b.s0, c); \ - c = fma(a.s1, b.s1, c); \ - c = fma(a.s2, b.s2, c); \ - c = fma(a.s3, b.s3, c); \ - c = fma(a.s4, b.s4, c); \ - c = fma(a.s5, b.s5, c); \ - c = fma(a.s6, b.s6, c); \ - c = fma(a.s7, b.s7, c); \ - }) -#elif K0 == 16 // K0 == 16 -#define ARM_DOT_K0(a, b, c) \ - ({ \ - c = fma(a.s0, b.s0, c); \ - c = fma(a.s1, b.s1, c); \ - c = fma(a.s2, b.s2, c); \ - c = fma(a.s3, b.s3, c); \ - c = fma(a.s4, b.s4, c); \ - c = fma(a.s5, b.s5, c); \ - c = fma(a.s6, b.s6, c); \ - c = fma(a.s7, b.s7, c); \ - c = fma(a.s8, b.s8, c); \ - c = fma(a.s9, b.s9, c); \ - c = fma(a.sA, b.sA, c); \ - c = fma(a.sB, b.sB, c); \ - c = fma(a.sC, b.sC, c); \ - c = fma(a.sD, b.sD, c); \ - c = fma(a.sE, b.sE, c); \ - c = fma(a.sF, b.sF, c); \ - }) -#else // K0 not supported -#error "K0 value not supported" -#endif // K0 conditions -#endif // defined(MIXED_PRECISION) - -#if defined(ARM_DOT_K0XN0) -#undef ARM_DOT_K0XN0 -#endif // defined(ARM_DOT_K0XN0) - -#if N0 == 2 -#define ARM_DOT_K0XN0(a, b, c) \ - ({ \ - ARM_DOT_K0((a), (b##0), (c.s0)); \ - ARM_DOT_K0((a), (b##1), (c.s1)); \ - }) -#elif N0 == 3 // N0 == 3 -#define ARM_DOT_K0XN0(a, b, c) \ - ({ \ - ARM_DOT_K0((a), (b##0), (c.s0)); \ - ARM_DOT_K0((a), (b##1), (c.s1)); \ - ARM_DOT_K0((a), (b##2), (c.s2)); \ - }) -#elif N0 == 4 // N0 == 4 -#define ARM_DOT_K0XN0(a, b, c) \ - ({ \ - ARM_DOT_K0((a), (b##0), (c.s0)); \ - ARM_DOT_K0((a), (b##1), (c.s1)); \ - ARM_DOT_K0((a), (b##2), (c.s2)); \ - ARM_DOT_K0((a), (b##3), (c.s3)); \ - }) -#elif N0 == 8 // N0 == 8 -#define ARM_DOT_K0XN0(a, b, c) \ - ({ \ - ARM_DOT_K0((a), (b##0), (c.s0)); \ - ARM_DOT_K0((a), (b##1), (c.s1)); \ - ARM_DOT_K0((a), (b##2), (c.s2)); \ - ARM_DOT_K0((a), (b##3), (c.s3)); \ - ARM_DOT_K0((a), (b##4), (c.s4)); \ - ARM_DOT_K0((a), (b##5), (c.s5)); \ - ARM_DOT_K0((a), (b##6), (c.s6)); \ - ARM_DOT_K0((a), (b##7), (c.s7)); \ - }) -#elif N0 == 16 // N0 == 16 -#define ARM_DOT_K0XN0(a, b, c) \ - ({ \ - ARM_DOT_K0((a), (b##0), (c.s0)); \ - ARM_DOT_K0((a), (b##1), (c.s1)); \ - ARM_DOT_K0((a), (b##2), (c.s2)); \ - ARM_DOT_K0((a), (b##3), (c.s3)); \ - ARM_DOT_K0((a), (b##4), (c.s4)); \ - ARM_DOT_K0((a), (b##5), (c.s5)); \ - ARM_DOT_K0((a), (b##6), (c.s6)); \ - ARM_DOT_K0((a), (b##7), (c.s7)); \ - ARM_DOT_K0((a), (b##8), (c.s8)); \ - ARM_DOT_K0((a), (b##9), (c.s9)); \ - ARM_DOT_K0((a), (b##A), (c.sA)); \ - ARM_DOT_K0((a), (b##B), (c.sB)); \ - ARM_DOT_K0((a), (b##C), (c.sC)); \ - ARM_DOT_K0((a), (b##D), (c.sD)); \ - ARM_DOT_K0((a), (b##E), (c.sE)); \ - ARM_DOT_K0((a), (b##F), (c.sF)); \ - }) -#else // N0 not supported -#error "N0 value not supported" -#endif // N0 conditions - -/** This OpenCL kernel computes the matrix multiplication between 2 matrices. - * The LHS matrix must be reshaped with @ref CLGEMMReshapeLHSMatrixKernel and the M0xK0 must be NOT transposed - * The RHS matrix must be reshaped with @ref CLGEMMReshapeRHSMatrixKernel and the K0xN0 must be transposed - * - * @note The data type must be passed at compile time using -DDATA_TYPE (e.g. -DDATA_TYPE=float) - * @note The data type used for the accumulators must be passed at compile time using -DDATA_TYPE_ACCUMULATOR (e.g. -DDATA_TYPE_ACCUMULATOR=float) - * @note The F16 computation also supports mixed precision through the option -DMIXED_PRECISION passed at compile time. If enabled, DATA_TYPE_ACCUMULATOR should be set to float - * @note If the first two dimensions of NDRange have been dispatched with "dummy_work_items" support, the option -DDUMMY_WORK_ITEMS must be passed at compile time. - * @note The GEMM's dimensions M, N and K must be passed at compile time using -DM, -DN and -DK (e.g. -DM=52, -DN=90 and -DK=24). - * @note The block's dimensions used for reshaping the LHS matrix and the RHS matrix (M0, N0 and K0) must be passed at compile time using -DM0, -DN0 and -DK0 (e.g. -DM0=4, -DN0=8, -DK0=4). - * @note The number of M0xK0 vertical blocks stored on the same output row of the reshaped LHS matrix must be passed at compile time using -DV0 (e.g. -DV0=2) - * @note The number of K0xN0 horizontal blocks stored on the same output row of the reshaped RHS matrix must be passed at compile time using -DH0 (e.g. -DH0=2) - * @note If the M0xK0 blocks in the reshaped LHS matrix have been interleaved, the option -DLHS_INTERLEAVE must passed at compile time. - * @note If the K0xN0 blocks in the reshaped RHS matrix have been interleaved, the option -DRHS_INTERLEAVE must passed at compile time. - * @note The size of the partial store block in y must be passed at compile time using -DPARTIAL_STORE_M0 (e.g. -DPARTIAL_STORE_M0=1) - * @note The size of the partial store block in x must be passed at compile time using -DPARTIAL_STORE_N0 (e.g. -DPARTIAL_STORE_N0=1) - * @note Only the following configurations of M0, N0 and K0 are currently supported: - * - M0 = 2, 3, 4, 5, 6, 7, 8 - * - N0 = 2, 3, 4, 8, 16 - * - K0 = 2, 3, 4, 8, 16 - * - V0 >= 1 - * - H0 >= 1 - * - * @note If the activation type were passed at compile time through -DACTIVATION_TYPE (e.g. -DACTIVATION_TYPE=RELU), A, B variables, required by some activation functions, should be passed at compile time as well using -DA_VAL= and -DB_VAL= respectively. - * The activation function is performed after the bias addition - * @note In case the output has to be reinterpreted as a 3D tensor (e.g. output of convolution layer), the following information must be passed at compile time: - * -# REINTERPRET_OUTPUT_AS_3D: To reinterpret the output as 3D - * -# HEIGHT_GEMM3D: The height of the output in case it has to be reinterpreted as a 3D tensor. - * -# DEPTH_GEMM3D: The depth of the output in case it has to be reinterpreted as a 3D tensor - * (HEIGHT_GEMM3D * DEPTH_GEMM3D) = columns LHS matrix NOT reshaped - * - * @param[in] lhs_ptr Pointer to the LHS reshaped matrix. Supported data type: F16/F32 - * @param[in] lhs_stride_x Stride of the LHS reshaped matrix in X dimension (in bytes) - * @param[in] lhs_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] lhs_stride_y Stride of the LHS reshaped matrix in Y dimension (in bytes) - * @param[in] lhs_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] lhs_offset_first_element_in_bytes The offset of the first element in the LHS reshaped matrix - * @param[in] rhs_ptr Pointer to the RHS reshaped matrix. Supported data type: same as @p lhs_ptr - * @param[in] rhs_stride_x Stride of the RHS reshaped matrix in X dimension (in bytes) - * @param[in] rhs_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] rhs_stride_y Stride of the RHS reshaped matrix in Y dimension (in bytes) - * @param[in] rhs_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] rhs_offset_first_element_in_bytes The offset of the first element in the RHS reshaped matrix - * @param[in] bias_ptr (Optional) Pointer to the bias matrix. Supported data type: same as @p lhs_ptr - * @param[in] bias_stride_x (Optional) Stride of the bias matrix in X dimension (in bytes) - * @param[in] bias_step_x (Optional) bias_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] bias_stride_y (Optional) Stride of the bias matrix in Y dimension (in bytes) - * @param[in] bias_step_y (Optional) bias_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] bias_offset_first_element_in_bytes (Optional) The offset of the first element in the bias matrix - * @param[out] dst_ptr Pointer to the destination matrix Supported data type: same as @p lhs_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_offset_first_element_in_bytes The offset of the first element in the destination matrix - * @param[in] k Number of columns in LHS matrix and rows in RHS matrix not reshaped. - * @param[in] lhs_stride_z Stride of the LHS reshaped matrix in Z dimension (in bytes) - * @param[in] rhs_stride_z Stride of the RHS reshaped matrix in Z dimension (in bytes) - * @param[in] bias_stride_z (Optional) Stride of the bias matrix in Z dimension (in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_cross_plane_pad (Optional) Bottom paddings in unit of elements (only if defined REINTERPRET_OUTPUT_AS_3D) - */ -__kernel void gemm_mm_reshaped_lhs_nt_rhs_t(IMAGE_DECLARATION(lhs), - IMAGE_DECLARATION(rhs), -#if defined(BETA) - IMAGE_DECLARATION(bias), -#endif // defined(BETA) - IMAGE_DECLARATION(dst), - uint k, - uint lhs_stride_z, - uint rhs_stride_z, -#if defined(BETA) - uint bias_stride_z, -#endif //defined(BETA) - uint dst_stride_z -#if defined(REINTERPRET_OUTPUT_AS_3D) - , - uint dst_cross_plane_pad -#endif // REINTERPRET_OUTPUT_AS_3D - ) -{ - // Block size -#define LHS_BLOCK_SIZE ((K0) * (M0)) - -#if defined(LHS_INTERLEAVE) -#define LHS_OFFSET_X (K0) -#define LHS_STEP_X ((K0) * (V0)) -#define LHS_STEP_LOOP (1) -#else // defined(INTERLEAVE) -#define LHS_OFFSET_X (LHS_BLOCK_SIZE) -#define LHS_STEP_X (K0) -#define LHS_STEP_LOOP (V0) -#endif // defined(INTERLEAVE) - - // Block size -#define RHS_BLOCK_SIZE ((K0) * (N0)) - - // RHS offset and step X -#if defined(RHS_INTERLEAVE) -#define RHS_OFFSET_X (K0) -#define RHS_STEP_X ((K0) * (H0)) -#define RHS_STEP_LOOP (1) -#else // defined(RHS_INTERLEAVE) -#define RHS_OFFSET_X (RHS_BLOCK_SIZE) -#define RHS_STEP_X (K0) -#define RHS_STEP_LOOP (H0) -#endif // defined(RHS_INTERLEAVE) - -#if defined(DUMMY_WORK_ITEMS) - if((get_global_id(0) * N0 >= N) || (get_global_id(1) * M0 >= M)) - { - return; - } -#endif // defined(DUMMY_WORK_ITEMS) - - // Compute LHS matrix address - __global uchar *lhs_addr = lhs_ptr + lhs_offset_first_element_in_bytes + (get_global_id(1) % V0) * (uint)LHS_OFFSET_X * sizeof(DATA_TYPE) + (get_global_id(1) / V0) * (uint)lhs_stride_y + - (get_global_id(2) * lhs_stride_z); - - // Compute RHS matrix address - __global uchar *rhs_addr = rhs_ptr + rhs_offset_first_element_in_bytes + (get_global_id(0) % H0) * (uint)RHS_OFFSET_X * sizeof(DATA_TYPE) + (get_global_id(0) / (uint)H0) * rhs_stride_y; - -#if defined(MATRIX_B_DEPTH) - // Do not slide matrix B if the matrix B has 3 dimensions and matrix A more than 3 - rhs_addr += (get_global_id(2) % MATRIX_B_DEPTH) * rhs_stride_z; -#else // defined(MATRIX_B_DEPTH) - rhs_addr += get_global_id(2) * rhs_stride_z; -#endif // defined(MATRIX_B_DEPTH) - - // Initialize the accumulators - REPEAT_VAR_INIT_TO_CONST(M0, VEC_DATA_TYPE(DATA_TYPE_ACCUMULATOR, N0), c, 0); - - REPEAT_VAR_INIT_TO_CONST(M0, uint, zlhs, 0); //uint zlhs0=0,zlhs1=0,zlhs2=0,... zlhs7=0; - REPEAT_VAR_INIT_TO_CONST(16, uint, zero, 0); - - for(int i = 0; i < k; i += K0) - { - // Supported cases (M0, K0): - // 1,2 - 1,3 - 1,4 - 1,8 - 1,16 - // 2,2 - 2,3 - 2,4 - 2,8 - 2,16 - // 3,2 - 3,3 - 3,4 - 3,8 - 3,16 - // 4,2 - 4,3 - 4,4 - 4,8 - 4,16 - // 5,2 - 5,3 - 5,4 - 5,8 - 5,16 - // 6,2 - 6,3 - 6,4 - 6,8 - 6,16 - // 7,2 - 7,3 - 7,4 - 7,8 - 7,16 - // 8,2 - 8,3 - 8,4 - 8,8 - 8,16 - // Load values from LHS matrix - LOAD_BLOCK(M0, K0, DATA_TYPE, a, lhs_addr, 0, LHS_STEP_X * sizeof(DATA_TYPE), zlhs); - - // Load values from RHS matrix - LOAD_BLOCK(N0, K0, DATA_TYPE, b, rhs_addr, 0, RHS_STEP_X * sizeof(DATA_TYPE), zero); - - // Accumulate - ARM_DOT_K0XN0(a0, b, c0); -#if M0 > 1 - ARM_DOT_K0XN0(a1, b, c1); -#endif // M0 > 1 -#if M0 > 2 - ARM_DOT_K0XN0(a2, b, c2); -#endif // M0 > 2 -#if M0 > 3 - ARM_DOT_K0XN0(a3, b, c3); -#endif // M0 > 3 -#if M0 > 4 - ARM_DOT_K0XN0(a4, b, c4); -#endif // M0 > 4 -#if M0 > 5 - ARM_DOT_K0XN0(a5, b, c5); -#endif // M0 > 5 -#if M0 > 6 - ARM_DOT_K0XN0(a6, b, c6); -#endif // M0 > 6 -#if M0 > 7 - ARM_DOT_K0XN0(a7, b, c7); -#endif // M0 > 7 - - lhs_addr += (M0 * LHS_STEP_X * LHS_STEP_LOOP) * sizeof(DATA_TYPE); - rhs_addr += (N0 * RHS_STEP_X * RHS_STEP_LOOP) * sizeof(DATA_TYPE); - } - - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + (get_global_id(0) * (uint)N0 * sizeof(DATA_TYPE)) + (get_global_id(1) * (uint)M0 * dst_stride_y); - - REPEAT_VAR_INIT_TO_CONST(M0, uint, zout, 0); - -#if defined(REINTERPRET_OUTPUT_AS_3D) - - // The plane (zin) is calculated dividing M (y * M0) by HEIGHT_GEMM3D - CALCULATE_Z_OFFSET(M0, uint, zout, get_global_id(1) * (uint)M0, HEIGHT_GEMM3D, DEPTH_GEMM3D, dst_cross_plane_pad, dst_stride_y); - // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we - // multiply dst_stride_z by DEPTH_GEMM3D - dst_addr += get_global_id(2) * dst_stride_z * DEPTH_GEMM3D; - -#else // defined(REINTERPRET_OUTPUT_AS_3D) - - // Add offset for batched GEMM - dst_addr += get_global_id(2) * dst_stride_z; - -#endif // defined(REINTERPRET_OUTPUT_AS_3D) - - // Multiply by the weight of matrix-matrix product and store the result -#if defined(ALPHA) - SCALE_BLOCK(M0, DATA_TYPE, c, ALPHA); -#endif // defined(ALPHA) - - // Add beta*bias -#if defined(BETA) -#if defined(BROADCAST_BIAS) - __global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (get_global_id(0) * (uint)N0 * sizeof(DATA_TYPE)); - - LOAD_BLOCK(1, N0, DATA_TYPE, bias, bias_addr, 0, bias_stride_y, zero); - -#ifndef UNIT_BETA - SCALE_BLOCK(1, DATA_TYPE, bias, BETA); -#endif // UNIT_BIAS - - // c = c + bias[broadcasted] -#if defined(MIXED_PRECISION) - CONVERT_BLOCK(1, N0, DATA_TYPE_ACCUMULATOR, bias, bias_hp); - ADD_BLOCK_BROADCAST(M0, c, bias_hp0); -#else // defined(MIXED_PRECISION) - ADD_BLOCK_BROADCAST(M0, c, bias0); -#endif // defined(MIXED_PRECISION) - -#else // defined(BROADCAST_BIAS) - __global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (get_global_id(0) * (uint)N0 * sizeof(DATA_TYPE)) + (get_global_id(1) * (uint)M0 * bias_stride_y) + get_global_id( - 2) * bias_stride_z; - - LOAD_BLOCK(M0, N0, DATA_TYPE, bias, bias_addr, 0, bias_stride_y, zero); - -#ifndef UNIT_BETA - SCALE_BLOCK(M0, DATA_TYPE, bias, BETA); -#endif // UNIT_BIAS - - // c = c + bias -#if defined(MIXED_PRECISION) - CONVERT_BLOCK(M0, N0, DATA_TYPE_ACCUMULATOR, bias, bias_hp); - ADD_BLOCK(M0, c, bias_hp); -#else // defined(MIXED_PRECISION) - ADD_BLOCK(M0, c, bias); -#endif // defined(MIXED_PRECISION) - -#endif // defined(BROADCAST_BIAS) -#endif // defined(BETA) - -#if defined(ACTIVATION_TYPE) -#if defined(MIXED_PRECISION) - ACTIVATION_BLOCK(M0, ACTIVATION_TYPE, DATA_TYPE_ACCUMULATOR, VEC_SIZE, c, A_VAL, B_VAL); -#else // defined(MIXED_PRECISION) - ACTIVATION_BLOCK(M0, ACTIVATION_TYPE, DATA_TYPE, VEC_SIZE, c, A_VAL, B_VAL); -#endif // defined(MIXED_PRECISION) -#endif // defined(ACTIVATION_TYPE) - - const bool cond_y = ((get_global_id(1) + 1) * M0 >= M); - const bool cond_x = ((get_global_id(0) + 1) * N0 >= N); - - // Store output block -#if defined(MIXED_PRECISION) - CONVERT_BLOCK(M0, N0, DATA_TYPE, c, c_lp); - STORE_BLOCK_BOUNDARY_AWARE(M0, N0, DATA_TYPE, c_lp, dst_addr, dst_stride_y, zout, PARTIAL_STORE_M0, PARTIAL_STORE_N0, cond_y, cond_x); -#else // defined(MIXED_PRECISION) - STORE_BLOCK_BOUNDARY_AWARE(M0, N0, DATA_TYPE, c, dst_addr, dst_stride_y, zout, PARTIAL_STORE_M0, PARTIAL_STORE_N0, cond_y, cond_x); -#endif // defined(MIXED_PRECISION) - -#undef LHS_BLOCK_SIZE -#undef LHS_OFFSET_X -#undef LHS_STEP_X -#undef RHS_BLOCK_SIZE -#undef RHS_OFFSET_X -#undef RHS_STEP_X -#undef LHS_STEP_LOOP -#undef RHS_STEP_LOOP -} - -#if defined(OPENCL_IMAGE_SUPPORT) -/** This OpenCL kernel computes the matrix multiplication between 2 matrices. The RHS matrix is stored in OpenCL image object. - * The LHS matrix must be reshaped with @ref CLGEMMReshapeLHSMatrixKernel and the M0xK0 must be NOT transposed - * The RHS matrix must be reshaped with @ref CLGEMMReshapeRHSMatrixKernel and the K0xN0 must be transposed - * - * @note -DOPENCL_IMAGE_SUPPORT must be passed at compile time in order to compile this OpenCL kernel - * @note The data type must be passed at compile time using -DDATA_TYPE (e.g. -DDATA_TYPE=float) - * @note The data type used for the accumulators must be passed at compile time using -DDATA_TYPE_ACCUMULATOR (e.g. -DDATA_TYPE_ACCUMULATOR=float) - * @note The F16 computation also supports mixed precision through the option -DMIXED_PRECISION passed at compile time. If enabled, DATA_TYPE_ACCUMULATOR should be set to float - * @note If the first two dimensions of NDRange have been dispatched with "dummy_work_items" support, the option -DDUMMY_WORK_ITEMS must be passed at compile time. - * @note The GEMM's dimensions M, N and K must be passed at compile time using -DM, -DN and -DK (e.g. -DM=52, -DN=90 and -DK=24). - * @note The height of the RHS matrix, defined before creating the OpenCL image object from the OpenCL buffer, should be passed at compile time using -DRHS_HEIGHT=<value> (e.g. -DRHS_HEIGHT=32) - * Since we cannot create a 3d image from a buffer, the third dimension could be collapsed with the second dimension so RHS_HEIGHT - * could be different from the value returned by get_image_height(rhs_img). - * @note The block's dimensions used for reshaping the LHS matrix and the RHS matrix (M0, N0 and K0) must be passed at compile time using -DM0, -DN0 and -DK0 (e.g. -DM0=4, -DN0=8, -DK0=4). - * @note The number of M0xK0 vertical blocks stored on the same output row of the reshaped LHS matrix must be passed at compile time using -DV0 (e.g. -DV0=2) - * @note The number of K0xN0 horizontal blocks stored on the same output row of the reshaped RHS matrix must be passed at compile time using -DH0 (e.g. -DH0=2) - * @note If the M0xK0 blocks in the reshaped LHS matrix have been interleaved, the option -DLHS_INTERLEAVE must passed at compile time. - * @note If the K0xN0 blocks in the reshaped RHS matrix have been interleaved, the option -DRHS_INTERLEAVE must passed at compile time. - * @note The size of the partial store block in y must be passed at compile time using -DPARTIAL_STORE_M0 (e.g. -DPARTIAL_STORE_M0=1) - * @note The size of the partial store block in x must be passed at compile time using -DPARTIAL_STORE_N0 (e.g. -DPARTIAL_STORE_N0=1) - * @note Only the following configurations of M0, N0 and K0 are currently supported: - * - M0 = 2, 3, 4, 5, 6, 7, 8 - * - N0 = 4, 8, 16 - * - K0 = 4, 8, 16 - * - V0 >= 1 - * - H0 >= 1 - * - * @note If the activation type were passed at compile time through -DACTIVATION_TYPE (e.g. -DACTIVATION_TYPE=RELU), A, B variables, required by some activation functions, should be passed at compile time as well using -DA_VAL= and -DB_VAL= respectively. - * The activation function is performed after the bias addition - * @note In case the output has to be reinterpreted as a 3D tensor (e.g. output of convolution layer), the following information must be passed at compile time: - * -# REINTERPRET_OUTPUT_AS_3D: To reinterpret the output as 3D - * -# HEIGHT_GEMM3D: The height of the output in case it has to be reinterpreted as a 3D tensor. - * -# DEPTH_GEMM3D: The depth of the output in case it has to be reinterpreted as a 3D tensor - * (HEIGHT_GEMM3D * DEPTH_GEMM3D) = columns LHS matrix NOT reshaped - * - * @param[in] lhs_ptr Pointer to the LHS reshaped matrix. Supported data type: F32 - * @param[in] lhs_stride_x Stride of the LHS reshaped matrix in X dimension (in bytes) - * @param[in] lhs_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] lhs_stride_y Stride of the LHS reshaped matrix in Y dimension (in bytes) - * @param[in] lhs_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] lhs_offset_first_element_in_bytes The offset of the first element in the LHS reshaped matrix - * @param[in] rhs_img The RHS reshaped matrix as OpenCL image object. Supported data type: same as @p lhs_ptr - * @param[in] bias_ptr (Optional) Pointer to the bias matrix. Supported data type: same as @p lhs_ptr - * @param[in] bias_stride_x (Optional) Stride of the bias matrix in X dimension (in bytes) - * @param[in] bias_step_x (Optional) bias_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] bias_stride_y (Optional) Stride of the bias matrix in Y dimension (in bytes) - * @param[in] bias_step_y (Optional) bias_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] bias_offset_first_element_in_bytes (Optional) The offset of the first element in the bias matrix - * @param[out] dst_ptr Pointer to the destination matrix Supported data type: same as @p lhs_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_offset_first_element_in_bytes The offset of the first element in the destination matrix - * @param[in] k Number of columns in LHS matrix and rows in RHS matrix not reshaped. - * @param[in] lhs_stride_z Stride of the LHS reshaped matrix in Z dimension (in bytes) - * @param[in] rhs_stride_z Stride of the RHS reshaped matrix in Z dimension (in bytes) - * @param[in] bias_stride_z (Optional) Stride of the bias matrix in Z dimension (in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_cross_plane_pad (Optional) Bottom paddings in unit of elements (only if defined REINTERPRET_OUTPUT_AS_3D) - */ -__kernel void gemm_mm_reshaped_lhs_nt_rhs_t_texture(IMAGE_DECLARATION(lhs), - __read_only image2d_t rhs_img, -#if defined(BETA) - IMAGE_DECLARATION(bias), -#endif // defined(BETA) - IMAGE_DECLARATION(dst), - uint k, - uint lhs_stride_z, - uint rhs_stride_z, -#if defined(BETA) - uint bias_stride_z, -#endif //defined(BETA) - uint dst_stride_z -#if defined(REINTERPRET_OUTPUT_AS_3D) - , - uint dst_cross_plane_pad -#endif // REINTERPRET_OUTPUT_AS_3D - ) -{ - // Pixel unit -#define PIXEL_UNIT CONVERT_VECTOR_SIZE_TO_PIXEL_UNIT(K0) - - // Block size -#define LHS_BLOCK_SIZE ((K0) * (M0)) - -#if defined(LHS_INTERLEAVE) -#define LHS_OFFSET_X (K0) -#define LHS_STEP_X ((K0) * (V0)) -#define LHS_STEP_LOOP (1) -#else // defined(INTERLEAVE) -#define LHS_OFFSET_X (LHS_BLOCK_SIZE) -#define LHS_STEP_X (K0) -#define LHS_STEP_LOOP (V0) -#endif // defined(INTERLEAVE) - - // Block size -#define RHS_BLOCK_SIZE (PIXEL_UNIT * (N0)) - - // RHS offset and step X -#if defined(RHS_INTERLEAVE) -#define RHS_OFFSET_X (PIXEL_UNIT) -#define RHS_STEP_X (PIXEL_UNIT * (H0)) -#define RHS_STEP_LOOP (1) -#else // defined(RHS_INTERLEAVE) -#define RHS_OFFSET_X (RHS_BLOCK_SIZE) -#define RHS_STEP_X PIXEL_UNIT -#define RHS_STEP_LOOP (H0) -#endif // defined(RHS_INTERLEAVE) - -#if defined(DUMMY_WORK_ITEMS) - if((get_global_id(0) * N0 >= N) || (get_global_id(1) * M0 >= M)) - { - return; - } -#endif // defined(DUMMY_WORK_ITEMS) - - // Compute LHS matrix address - __global uchar *lhs_addr = lhs_ptr + lhs_offset_first_element_in_bytes + (get_global_id(1) % V0) * (uint)LHS_OFFSET_X * sizeof(DATA_TYPE) + (get_global_id(1) / V0) * (uint)lhs_stride_y + - (get_global_id(2) * lhs_stride_z); - -#if defined(MATRIX_B_DEPTH) - // Do not slide matrix B if the matrix B has 3 dimensions and matrix A more than 3 - const uint z_rhs = (get_global_id(2) % MATRIX_B_DEPTH); -#else // defined(MATRIX_B_DEPTH) - const uint z_rhs = get_global_id(2); -#endif // defined(MATRIX_B_DEPTH) - - // Compute RHS matrix coordinates - uint x_rhs = (get_global_id(0) % H0) * (uint)RHS_OFFSET_X; - const uint y_rhs = (get_global_id(0) / (uint)H0) + z_rhs * RHS_HEIGHT; - - // Initialize the accumulators - REPEAT_VAR_INIT_TO_CONST(M0, VEC_DATA_TYPE(DATA_TYPE_ACCUMULATOR, N0), c, 0); - - REPEAT_VAR_INIT_TO_CONST(M0, uint, zlhs, 0); //uint zlhs0=0,zlhs1=0,zlhs2=0,... zlhs7=0; - REPEAT_VAR_INIT_TO_CONST(16, uint, zero, 0); - - for(int i = 0; i < K; i += K0) - { - // Load values from LHS matrix - LOAD_BLOCK(M0, K0, DATA_TYPE, a, lhs_addr, 0, LHS_STEP_X * sizeof(DATA_TYPE), zlhs); - - // Load values from RHS matrix stored in a cl_image - REPEAT_VAR_INIT_TO_CONST(N0, VEC_DATA_TYPE(DATA_TYPE, K0), b, 0); - LOAD_TEXTURE2D(N0, PIXEL_UNIT, DATA_TYPE, b, rhs_img, x_rhs, y_rhs, RHS_STEP_X, 0); - - // Accumulate - ARM_DOT_K0XN0(a0, b, c0); -#if M0 > 1 - ARM_DOT_K0XN0(a1, b, c1); -#endif // M0 > 1 -#if M0 > 2 - ARM_DOT_K0XN0(a2, b, c2); -#endif // M0 > 2 -#if M0 > 3 - ARM_DOT_K0XN0(a3, b, c3); -#endif // M0 > 3 -#if M0 > 4 - ARM_DOT_K0XN0(a4, b, c4); -#endif // M0 > 4 -#if M0 > 5 - ARM_DOT_K0XN0(a5, b, c5); -#endif // M0 > 5 -#if M0 > 6 - ARM_DOT_K0XN0(a6, b, c6); -#endif // M0 > 6 -#if M0 > 7 - ARM_DOT_K0XN0(a7, b, c7); -#endif // M0 > 7 - - lhs_addr += (M0 * LHS_STEP_X * LHS_STEP_LOOP) * sizeof(DATA_TYPE); - - x_rhs += N0 * RHS_STEP_X * RHS_STEP_LOOP; - } - - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + (get_global_id(0) * (uint)N0 * sizeof(DATA_TYPE)) + (get_global_id(1) * (uint)M0 * dst_stride_y); - - REPEAT_VAR_INIT_TO_CONST(M0, uint, zout, 0); - -#if defined(REINTERPRET_OUTPUT_AS_3D) - - // The plane (zin) is calculated dividing M (y * M0) by HEIGHT_GEMM3D - CALCULATE_Z_OFFSET(M0, uint, zout, get_global_id(1) * (uint)M0, HEIGHT_GEMM3D, DEPTH_GEMM3D, dst_cross_plane_pad, dst_stride_y); - // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we - // multiply dst_stride_z by DEPTH_GEMM3D - dst_addr += get_global_id(2) * dst_stride_z * DEPTH_GEMM3D; - -#else // defined(REINTERPRET_OUTPUT_AS_3D) - - // Add offset for batched GEMM - dst_addr += get_global_id(2) * dst_stride_z; - -#endif // defined(REINTERPRET_OUTPUT_AS_3D) - - // Multiply by the weight of matrix-matrix product and store the result -#if defined(ALPHA) - SCALE_BLOCK(M0, DATA_TYPE, c, ALPHA); -#endif // defined(ALPHA) - - // Add beta*bias -#if defined(BETA) -#if defined(BROADCAST_BIAS) - __global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (get_global_id(0) * (uint)N0 * sizeof(DATA_TYPE)); - - LOAD_BLOCK(1, N0, DATA_TYPE, bias, bias_addr, 0, bias_stride_y, zero); - -#ifndef UNIT_BETA - SCALE_BLOCK(1, DATA_TYPE, bias, BETA); -#endif // UNIT_BIAS - - // c = c + bias[broadcasted] -#if defined(MIXED_PRECISION) - CONVERT_BLOCK(1, N0, DATA_TYPE_ACCUMULATOR, bias, bias_hp); - ADD_BLOCK_BROADCAST(M0, c, bias_hp0); -#else // defined(MIXED_PRECISION) - ADD_BLOCK_BROADCAST(M0, c, bias0); -#endif // defined(MIXED_PRECISION) - -#else // defined(BROADCAST_BIAS) - __global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (get_global_id(0) * (uint)N0 * sizeof(DATA_TYPE)) + (get_global_id(1) * (uint)M0 * bias_stride_y) + get_global_id( - 2) * bias_stride_z; - - LOAD_BLOCK(M0, N0, DATA_TYPE, bias, bias_addr, 0, bias_stride_y, zero); - -#ifndef UNIT_BETA - SCALE_BLOCK(M0, DATA_TYPE, bias, BETA); -#endif // UNIT_BIAS - - // c = c + bias -#if defined(MIXED_PRECISION) - CONVERT_BLOCK(M0, N0, DATA_TYPE_ACCUMULATOR, bias, bias_hp); - ADD_BLOCK(M0, c, bias_hp); -#else // defined(MIXED_PRECISION) - ADD_BLOCK(M0, c, bias); -#endif // defined(MIXED_PRECISION) - -#endif // defined(BROADCAST_BIAS) -#endif // defined(BETA) - -#if defined(ACTIVATION_TYPE) -#if defined(MIXED_PRECISION) - ACTIVATION_BLOCK(M0, ACTIVATION_TYPE, DATA_TYPE_ACCUMULATOR, VEC_SIZE, c, A_VAL, B_VAL); -#else // defined(MIXED_PRECISION) - ACTIVATION_BLOCK(M0, ACTIVATION_TYPE, DATA_TYPE, VEC_SIZE, c, A_VAL, B_VAL); -#endif // defined(MIXED_PRECISION) -#endif // defined(ACTIVATION_TYPE) - - const bool cond_y = ((get_global_id(1) + 1) * M0 >= M); - const bool cond_x = ((get_global_id(0) + 1) * N0 >= N); - - // Store output block -#if defined(MIXED_PRECISION) - CONVERT_BLOCK(M0, N0, DATA_TYPE, c, c_lp); - STORE_BLOCK_BOUNDARY_AWARE(M0, N0, DATA_TYPE, c_lp, dst_addr, dst_stride_y, zout, PARTIAL_STORE_M0, PARTIAL_STORE_N0, cond_y, cond_x); -#else // defined(MIXED_PRECISION) - STORE_BLOCK_BOUNDARY_AWARE(M0, N0, DATA_TYPE, c, dst_addr, dst_stride_y, zout, PARTIAL_STORE_M0, PARTIAL_STORE_N0, cond_y, cond_x); -#endif // defined(MIXED_PRECISION) - -#undef LHS_BLOCK_SIZE -#undef LHS_OFFSET_X -#undef LHS_STEP_X -#undef RHS_BLOCK_SIZE -#undef RHS_OFFSET_X -#undef RHS_STEP_X -#undef PIXEL_UNIT -#undef LHS_STEP_LOOP -#undef RHS_STEP_LOOP -} -#endif // defined(OPENCL_IMAGE_SUPPORT) - -#if defined(LHS_TRANSPOSE) - -#define VTYPE(TYPE, SIZE) VEC_DATA_TYPE(TYPE, SIZE) - -#if defined(MIXED_PRECISION) - -#if(GPU_ARCH == GPU_ARCH_MIDGARD) -#define ARM_VFMA(N0, a, b, c) c += (CONVERT(a, VEC_DATA_TYPE(DATA_TYPE_ACCUMULATOR, N0))) * (CONVERT(b, VEC_DATA_TYPE(DATA_TYPE_ACCUMULATOR, N0))); -#else // GPU_ARCH == GPU_ARCH_MIDGARD -#define ARM_VFMA(N0, a, b, c) c = fma((CONVERT(a, VEC_DATA_TYPE(DATA_TYPE_ACCUMULATOR, N0))), (CONVERT(b, VEC_DATA_TYPE(DATA_TYPE_ACCUMULATOR, N0))), (c)); -#endif // GPU_ARCH == GPU_ARCH_MIDGARD - -#else // defined(MIXED_PRECISION - -#if(GPU_ARCH == GPU_ARCH_MIDGARD) -#define ARM_VFMA(N0, a, b, c) c += (a) * (b); -#else // GPU_ARCH == GPU_ARCH_MIDGARD -#define ARM_VFMA(N0, a, b, c) c = fma((a), (b), (c)); -#endif // GPU_ARCH == GPU_ARCH_MIDGARD - -#endif // defined(MIXED_PRECISION) - -#define ARM_VVM_T_NT_1xN0x1(N0, TYPE, a, b, C) \ - ({ \ - ARM_VFMA(N0, (VTYPE(TYPE, N0))(a), b, (C##0)); \ - }) -#define ARM_VVM_T_NT_2xN0x1(N0, TYPE, a, b, C) \ - ({ \ - ARM_VFMA(N0, (VTYPE(TYPE, N0))(a.s0), b, (C##0)); \ - ARM_VFMA(N0, (VTYPE(TYPE, N0))(a.s1), b, (C##1)); \ - }) -#define ARM_VVM_T_NT_3xN0x1(N0, TYPE, a, b, C) \ - ({ \ - ARM_VVM_T_NT_2xN0x1(N0, TYPE, a, b, C); \ - ARM_VFMA(N0, (VTYPE(TYPE, N0))(a.s2), b, (C##2)); \ - }) -#define ARM_VVM_T_NT_4xN0x1(N0, TYPE, a, b, C) \ - ({ \ - ARM_VVM_T_NT_3xN0x1(N0, TYPE, a, b, C); \ - ARM_VFMA(N0, (VTYPE(TYPE, N0))(a.s3), b, (C##3)); \ - }) -#define ARM_VVM_T_NT_8xN0x1(N0, TYPE, a, b, C) \ - ({ \ - ARM_VVM_T_NT_4xN0x1(N0, TYPE, a, b, C); \ - ARM_VFMA(N0, (VTYPE(TYPE, N0))(a.s4), b, (C##4)); \ - ARM_VFMA(N0, (VTYPE(TYPE, N0))(a.s5), b, (C##5)); \ - ARM_VFMA(N0, (VTYPE(TYPE, N0))(a.s6), b, (C##6)); \ - ARM_VFMA(N0, (VTYPE(TYPE, N0))(a.s7), b, (C##7)); \ - }) - -// Factory macro for the column-vector (transposed) by row-vector (not transposed) multiplication. K0 = 1 -// a is the column-vector (transposed) -// b is the row-vector (not transposed) -// C is the output matrix -// Lower case is a vector (a, b) -// Upper case is a matrix (C) -#define ARM_VVM_T_NT_M0xN0x1(M0, N0, TYPE, a, b, C) ARM_VVM_T_NT_##M0##xN0x1(N0, TYPE, a, b, C) - -#define ARM_MM_T_NT_M0xN0x1(M0, N0, TYPE, A, B, C) \ - ({ \ - ARM_VVM_T_NT_M0xN0x1(M0, N0, TYPE, (A##0), (B##0), C); \ - }) -#define ARM_MM_T_NT_M0xN0x2(M0, N0, TYPE, A, B, C) \ - ({ \ - ARM_MM_T_NT_M0xN0x1(M0, N0, TYPE, A, B, C); \ - ARM_VVM_T_NT_M0xN0x1(M0, N0, TYPE, (A##1), (B##1), C); \ - }) -#define ARM_MM_T_NT_M0xN0x3(M0, N0, TYPE, A, B, C) \ - ({ \ - ARM_MM_T_NT_M0xN0x2(M0, N0, TYPE, A, B, C); \ - ARM_VVM_T_NT_M0xN0x1(M0, N0, TYPE, (A##2), (B##2), C); \ - }) -#define ARM_MM_T_NT_M0xN0x4(M0, N0, TYPE, A, B, C) \ - ({ \ - ARM_MM_T_NT_M0xN0x3(M0, N0, TYPE, A, B, C); \ - ARM_VVM_T_NT_M0xN0x1(M0, N0, TYPE, (A##3), (B##3), C); \ - }) -#define ARM_MM_T_NT_M0xN0x8(M0, N0, TYPE, A, B, C) \ - ({ \ - ARM_MM_T_NT_M0xN0x4(M0, N0, TYPE, A, B, C); \ - ARM_VVM_T_NT_M0xN0x1(M0, N0, TYPE, (A##4), (B##4), C); \ - ARM_VVM_T_NT_M0xN0x1(M0, N0, TYPE, (A##5), (B##5), C); \ - ARM_VVM_T_NT_M0xN0x1(M0, N0, TYPE, (A##6), (B##6), C); \ - ARM_VVM_T_NT_M0xN0x1(M0, N0, TYPE, (A##7), (B##7), C); \ - }) -#define ARM_MM_T_NT_M0xN0x16(M0, N0, TYPE, A, B, C) \ - ({ \ - ARM_MM_T_NT_M0xN0x8(M0, N0, TYPE, A, B, C); \ - ARM_MM_T_NT_M0xN0x1(M0, N0, TYPE, (A##8), (B##8), C); \ - ARM_MM_T_NT_M0xN0x1(M0, N0, TYPE, (A##9), (B##9), C); \ - ARM_MM_T_NT_M0xN0x1(M0, N0, TYPE, (A##A), (B##A), C); \ - ARM_MM_T_NT_M0xN0x1(M0, N0, TYPE, (A##B), (B##B), C); \ - ARM_MM_T_NT_M0xN0x1(M0, N0, TYPE, (A##C), (B##C), C); \ - ARM_MM_T_NT_M0xN0x1(M0, N0, TYPE, (A##D), (B##D), C); \ - ARM_MM_T_NT_M0xN0x1(M0, N0, TYPE, (A##E), (B##E), C); \ - ARM_MM_T_NT_M0xN0x1(M0, N0, TYPE, (A##F), (B##F), C); \ - }) - -// Factory macro for the matrix (transposed) by matrix (not transposed) multiplication. -// The dimensions for this matrix multiplications are defined through M0, N0 and K0 -// The dimensions supported are: -// M0: 1, 2, 3, 4, 8 -// N0: 1, 2, 3, 4, 8, 16 -// K0: 1, 2, 3, 4, 8, 16 -// This macro calls the vector-by-matrix macro K0 times -// A, B and C are matrices -#define ARM_MM_T_NT(M0, N0, K0, TYPE, A, B, C) \ - CONCAT(ARM_MM_T_NT_M0xN0x, K0) \ - (M0, N0, TYPE, A, B, C) - -/** This OpenCL kernel computes the matrix multiplication between 2 matrices. - * The LHS matrix must be reshaped with @ref CLGEMMReshapeLHSMatrixKernel and the M0xK0 must be transposed - * The RHS matrix must be reshaped with @ref CLGEMMReshapeRHSMatrixKernel and the K0xN0 must be NOT transposed - * - * @note LHS_TRANSPOSE should be passed at compile time in order to compile this OpenCL kernel (e.g. -DLHS_TRANSPOSE). - * @note If the first two dimensions of NDRange have been dispatched with "dummy_work_items" support, the option -DDUMMY_WORK_ITEMS must be passed at compile time. - * @note The GEMM's dimensions M, N and K must be passed at compile time using -DM, -DN and -DK (e.g. -DM=52, -DN=90 and -DK=24). - * @note The block's dimensions used for reshaping the LHS matrix and the RHS matrix (M0, N0 and K0) must be passed at compile time using -DM0, -DN0 and -DK0 (e.g. -DM0=4, -DN0=8, -DK0=4). - * @note The number of M0xK0 vertical blocks stored on the same output row of the reshaped LHS matrix must be passed at compile time using -DV0 (e.g. -DV0=2) - * @note The number of K0xN0 horizontal blocks stored on the same output row of the reshaped RHS matrix must be passed at compile time using -DH0 (e.g. -DH0=2) - * @note If the M0xK0 blocks in the reshaped LHS matrix have been interleaved, the option -DLHS_INTERLEAVE must passed at compile time. - * @note If the K0xN0 blocks in the reshaped RHS matrix have been interleaved, the option -DRHS_INTERLEAVE must passed at compile time. - * @note The size of the partial store block in y must be passed at compile time using -DPARTIAL_STORE_M0 (e.g. -DPARTIAL_STORE_M0=1) - * @note The size of the partial store block in x must be passed at compile time using -DPARTIAL_STORE_N0 (e.g. -DPARTIAL_STORE_N0=1) - * @note Only the following configurations of M0, N0 and K0 are currently supported: - * - M0 = 2, 3, 4, 8 - * - N0 = 2, 3, 4, 8, 16 - * - K0 = 2, 3, 4, 8, 16 - * - V0 >= 1 - * - H0 >= 1 - * - * @note If the activation type were passed at compile time through -DACTIVATION_TYPE (e.g. -DACTIVATION_TYPE=RELU), A, B variables, required by some activation functions, should be passed at compile time as well using -DA_VAL= and -DB_VAL= respectively. - * The activation function is performed after the bias addition - * @note In case the output has to be reinterpreted as a 3D tensor (e.g. output of convolution layer), the following information must be passed at compile time: - * -# REINTERPRET_OUTPUT_AS_3D: To reinterpret the output as 3D - * -# HEIGHT_GEMM3D: The height of the output in case it has to be reinterpreted as a 3D tensor. - * -# DEPTH_GEMM3D: The depth of the output in case it has to be reinterpreted as a 3D tensor - * (HEIGHT_GEMM3D * DEPTH_GEMM3D) = columns LHS matrix NOT reshaped - * - * @param[in] lhs_ptr Pointer to the LHS reshaped matrix. Supported data type: F16/F32 - * @param[in] lhs_stride_x Stride of the LHS reshaped matrix in X dimension (in bytes) - * @param[in] lhs_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] lhs_stride_y Stride of the LHS reshaped matrix in Y dimension (in bytes) - * @param[in] lhs_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] lhs_offset_first_element_in_bytes The offset of the first element in the LHS reshaped matrix - * @param[in] rhs_ptr Pointer to the RHS reshaped matrix. Supported data type: same as @p lhs_ptr - * @param[in] rhs_stride_x Stride of the RHS reshaped matrix in X dimension (in bytes) - * @param[in] rhs_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] rhs_stride_y Stride of the RHS reshaped matrix in Y dimension (in bytes) - * @param[in] rhs_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] rhs_offset_first_element_in_bytes The offset of the first element in the RHS reshaped matrix - * @param[in] bias_ptr (Optional) Pointer to the bias matrix. Supported data type: same as @p lhs_ptr - * @param[in] bias_stride_x (Optional) Stride of the bias matrix in X dimension (in bytes) - * @param[in] bias_step_x (Optional) bias_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] bias_stride_y (Optional) Stride of the bias matrix in Y dimension (in bytes) - * @param[in] bias_step_y (Optional) bias_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] bias_offset_first_element_in_bytes (Optional) The offset of the first element in the bias matrix - * @param[out] dst_ptr Pointer to the destination matrix Supported data type: same as @p lhs_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_offset_first_element_in_bytes The offset of the first element in the destination matrix - * @param[in] k Number of columns in LHS matrix and rows in RHS matrix not reshaped. - * @param[in] lhs_stride_z Stride of the LHS reshaped matrix in Z dimension (in bytes) - * @param[in] rhs_stride_z Stride of the RHS reshaped matrix in Z dimension (in bytes) - * @param[in] bias_stride_z (Optional) Stride of the bias matrix in Z dimension (in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_cross_plane_pad (Optional) Bottom paddings in unit of elements (only if defined REINTERPRET_OUTPUT_AS_3D) - */ -__kernel void gemm_mm_reshaped_lhs_t_rhs_nt(IMAGE_DECLARATION(lhs), - IMAGE_DECLARATION(rhs), -#if defined(BETA) - IMAGE_DECLARATION(bias), -#endif // defined(BETA) - IMAGE_DECLARATION(dst), - uint k, - uint lhs_stride_z, - uint rhs_stride_z, -#if defined(BETA) - uint bias_stride_z, -#endif //defined(BETA) - uint dst_stride_z -#if defined(REINTERPRET_OUTPUT_AS_3D) - , - uint dst_cross_plane_pad -#endif // REINTERPRET_OUTPUT_AS_3D - ) -{ - // Block size -#define LHS_BLOCK_SIZE ((K0) * (M0)) - -#if defined(LHS_INTERLEAVE) -#define LHS_OFFSET_X (M0) -#define LHS_STEP_X ((M0) * (V0)) -#define LHS_STEP_LOOP (1) -#else // defined(INTERLEAVE) -#define LHS_OFFSET_X (LHS_BLOCK_SIZE) -#define LHS_STEP_X (M0) -#define LHS_STEP_LOOP (V0) -#endif // defined(INTERLEAVE) - - // Block size -#define RHS_BLOCK_SIZE ((K0) * (N0)) - - // RHS offset and step X -#if defined(RHS_INTERLEAVE) -#define RHS_OFFSET_X (N0) -#define RHS_STEP_X ((N0) * (H0)) -#else // defined(RHS_INTERLEAVE) -#define RHS_OFFSET_X (RHS_BLOCK_SIZE) -#define RHS_STEP_X (N0) -#endif // defined(RHS_INTERLEAVE) - - const uint x = get_global_id(0); - const uint y = get_global_id(1); - const uint z = get_global_id(2); - -#if defined(DUMMY_WORK_ITEMS) - if((x * N0 >= N) || (y * M0 >= M)) - { - return; - } -#endif // defined(DUMMY_WORK_ITEMS) - - // Compute LHS matrix address - __global uchar *lhs_addr = lhs_ptr + lhs_offset_first_element_in_bytes + (y % V0) * (uint)LHS_OFFSET_X * sizeof(DATA_TYPE) + (y / V0) * (uint)lhs_stride_y + (z * lhs_stride_z); - - // Compute RHS matrix address - __global uchar *rhs_addr = rhs_ptr + rhs_offset_first_element_in_bytes + (x % H0) * (uint)RHS_OFFSET_X * sizeof(DATA_TYPE) + (x / (uint)H0) * rhs_stride_y; - -#if defined(MATRIX_B_DEPTH) - // Do not slide matrix B if the matrix B has 3 dimensions and matrix A more than 3 - rhs_addr += (z % MATRIX_B_DEPTH) * rhs_stride_z; -#else // defined(MATRIX_B_DEPTH) - rhs_addr += z * rhs_stride_z; -#endif // defined(MATRIX_B_DEPTH) - - // Initialize the accumulators - REPEAT_VAR_INIT_TO_CONST(M0, VEC_DATA_TYPE(DATA_TYPE_ACCUMULATOR, N0), c, 0); - - REPEAT_VAR_INIT_TO_CONST(M0, uint, zero, 0); - - __global DATA_TYPE *lhs = (__global DATA_TYPE *)(lhs_addr); - __global DATA_TYPE *rhs = (__global DATA_TYPE *)(rhs_addr); - - for(int i = 0; i < k; i += K0) - { - VEC_DATA_TYPE(DATA_TYPE, M0) - a0; - VEC_DATA_TYPE(DATA_TYPE, N0) - b0; - - a0 = VLOAD(M0)(0, lhs); - b0 = VLOAD(N0)(0, rhs); - - ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); - - lhs += LHS_STEP_X; - rhs += RHS_STEP_X; - -#if K0 > 1 - a0 = VLOAD(M0)(0, lhs); - b0 = VLOAD(N0)(0, rhs); - - ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); - - lhs += LHS_STEP_X; - rhs += RHS_STEP_X; -#endif // K0 > 1 - -#if K0 > 2 - a0 = VLOAD(M0)(0, lhs); - b0 = VLOAD(N0)(0, rhs); - - ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); - - lhs += LHS_STEP_X; - rhs += RHS_STEP_X; -#endif // K0 > 2 - -#if K0 > 3 - a0 = VLOAD(M0)(0, lhs); - b0 = VLOAD(N0)(0, rhs); - - ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); - - lhs += LHS_STEP_X; - rhs += RHS_STEP_X; -#endif // K0 > 3 - -#if K0 > 4 - a0 = VLOAD(M0)(0, lhs); - b0 = VLOAD(N0)(0, rhs); - - ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); - - lhs += LHS_STEP_X; - rhs += RHS_STEP_X; - - a0 = VLOAD(M0)(0, lhs); - b0 = VLOAD(N0)(0, rhs); - - ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); - - lhs += LHS_STEP_X; - rhs += RHS_STEP_X; - - a0 = VLOAD(M0)(0, lhs); - b0 = VLOAD(N0)(0, rhs); - - ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); - - lhs += LHS_STEP_X; - rhs += RHS_STEP_X; - - a0 = VLOAD(M0)(0, lhs); - b0 = VLOAD(N0)(0, rhs); - - ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); - - lhs += LHS_STEP_X; - rhs += RHS_STEP_X; -#endif // K0 > 4 - -#if K0 > 8 - a0 = VLOAD(M0)(0, lhs); - b0 = VLOAD(N0)(0, rhs); - - ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); - - lhs += LHS_STEP_X; - rhs += RHS_STEP_X; - - a0 = VLOAD(M0)(0, lhs); - b0 = VLOAD(N0)(0, rhs); - - ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); - - lhs += LHS_STEP_X; - rhs += RHS_STEP_X; - - a0 = VLOAD(M0)(0, lhs); - b0 = VLOAD(N0)(0, rhs); - - ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); - - lhs += LHS_STEP_X; - rhs += RHS_STEP_X; - - a0 = VLOAD(M0)(0, lhs); - b0 = VLOAD(N0)(0, rhs); - - ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); - - lhs += LHS_STEP_X; - rhs += RHS_STEP_X; - - a0 = VLOAD(M0)(0, lhs); - b0 = VLOAD(N0)(0, rhs); - - ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); - - lhs += LHS_STEP_X; - rhs += RHS_STEP_X; - - a0 = VLOAD(M0)(0, lhs); - b0 = VLOAD(N0)(0, rhs); - - ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); - - lhs += LHS_STEP_X; - rhs += RHS_STEP_X; - - a0 = VLOAD(M0)(0, lhs); - b0 = VLOAD(N0)(0, rhs); - - ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); - - lhs += LHS_STEP_X; - rhs += RHS_STEP_X; - - a0 = VLOAD(M0)(0, lhs); - b0 = VLOAD(N0)(0, rhs); - - ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); - - lhs += LHS_STEP_X; - rhs += RHS_STEP_X; -#endif // K0 > 8 - -#ifndef LHS_INTERLEAVE - lhs += (M0 * K0 * (V0 - 1)); -#endif // LHS_INTERLEAVE - -#ifndef RHS_INTERLEAVE - rhs += (N0 * K0 * (H0 - 1)); -#endif // RHS_INTERLEAVE - } - - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + (x * (uint)N0 * sizeof(DATA_TYPE)) + (y * (uint)M0 * dst_stride_y); - - REPEAT_VAR_INIT_TO_CONST(M0, uint, zout, 0); - -#if defined(REINTERPRET_OUTPUT_AS_3D) - - // The plane (zin) is calculated dividing M (y * M0) by HEIGHT_GEMM3D - CALCULATE_Z_OFFSET(M0, uint, zout, y * (uint)M0, HEIGHT_GEMM3D, DEPTH_GEMM3D, dst_cross_plane_pad, dst_stride_y); - // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we - // multiply dst_stride_z by DEPTH_GEMM3D - dst_addr += z * dst_stride_z * DEPTH_GEMM3D; - -#else // defined(REINTERPRET_OUTPUT_AS_3D) - - // Add offset for batched GEMM - dst_addr += z * dst_stride_z; - -#endif // defined(REINTERPRET_OUTPUT_AS_3D) - - // Multiply by the weight of matrix-matrix product and store the result -#if defined(ALPHA) - SCALE_BLOCK(M0, DATA_TYPE, c, ALPHA); -#endif // defined(ALPHA) - - // Add beta*bias -#if defined(BETA) -#if defined(BROADCAST_BIAS) - __global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (x * (uint)N0 * sizeof(DATA_TYPE)); - - LOAD_BLOCK(1, N0, DATA_TYPE, bias, bias_addr, 0, bias_stride_y, zero); - -#ifndef UNIT_BETA - SCALE_BLOCK(1, DATA_TYPE, bias, BETA); -#endif // UNIT_BIAS - - // c = c + bias[broadcasted] -#if defined(MIXED_PRECISION) - CONVERT_BLOCK(1, N0, DATA_TYPE_ACCUMULATOR, bias, bias_hp); - ADD_BLOCK_BROADCAST(M0, c, bias_hp0); -#else // defined(MIXED_PRECISION) - ADD_BLOCK_BROADCAST(M0, c, bias0); -#endif // defined(MIXED_PRECISION) - -#else // defined(BROADCAST_BIAS) - __global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (get_global_id(0) * (uint)N0 * sizeof(DATA_TYPE)) + (get_global_id(1) * (uint)M0 * bias_stride_y) + get_global_id( - 2) * bias_stride_z; - - LOAD_BLOCK(M0, N0, DATA_TYPE, bias, bias_addr, 0, bias_stride_y, zero); - -#ifndef UNIT_BETA - SCALE_BLOCK(M0, DATA_TYPE, bias, BETA); -#endif // UNIT_BIAS - -#if defined(MIXED_PRECISION) - CONVERT_BLOCK(M0, N0, DATA_TYPE_ACCUMULATOR, bias, bias_hp); - ADD_BLOCK(M0, c, bias_hp); -#else // defined(MIXED_PRECISION) - ADD_BLOCK(M0, c, bias); -#endif // defined(MIXED_PRECISION) - -#endif // defined(BROADCAST_BIAS) -#endif // defined(BETA) - -#if defined(ACTIVATION_TYPE) -#if defined(MIXED_PRECISION) - ACTIVATION_BLOCK(M0, ACTIVATION_TYPE, DATA_TYPE_ACCUMULATOR, VEC_SIZE, c, A_VAL, B_VAL); -#else // defined(MIXED_PRECISION) - ACTIVATION_BLOCK(M0, ACTIVATION_TYPE, DATA_TYPE, VEC_SIZE, c, A_VAL, B_VAL); -#endif // defined(MIXED_PRECISION) -#endif // defined(ACTIVATION_TYPE) - - const bool cond_y = ((get_global_id(1) + 1) * M0 >= M); - const bool cond_x = ((get_global_id(0) + 1) * N0 >= N); - - // Store output block -#if defined(MIXED_PRECISION) - CONVERT_BLOCK(M0, N0, DATA_TYPE, c, c_lp); - STORE_BLOCK_BOUNDARY_AWARE(M0, N0, DATA_TYPE, c_lp, dst_addr, dst_stride_y, zout, PARTIAL_STORE_M0, PARTIAL_STORE_N0, cond_y, cond_x); -#else // defined(MIXED_PRECISION) - STORE_BLOCK_BOUNDARY_AWARE(M0, N0, DATA_TYPE, c, dst_addr, dst_stride_y, zout, PARTIAL_STORE_M0, PARTIAL_STORE_N0, cond_y, cond_x); -#endif // defined(MIXED_PRECISION) - -#undef LHS_BLOCK_SIZE -#undef LHS_OFFSET_X -#undef LHS_STEP_X -#undef RHS_BLOCK_SIZE -#undef RHS_OFFSET_X -#undef RHS_STEP_X -} - -#if defined(OPENCL_IMAGE_SUPPORT) -/** This OpenCL kernel computes the matrix multiplication between 2 matrices. The RHS matrix is stored in OpenCL image object. - * The LHS matrix must be reshaped with @ref CLGEMMReshapeLHSMatrixKernel and the M0xK0 must be transposed - * The RHS matrix must be reshaped with @ref CLGEMMReshapeRHSMatrixKernel and the K0xN0 must be NOT transposed - * - * @note -DOPENCL_IMAGE_SUPPORT must be passed at compile time in order to compile this OpenCL kernel - * @note LHS_TRANSPOSE should be passed at compile time in order to compile this OpenCL kernel (e.g. -DLHS_TRANSPOSE). - * @note If the first two dimensions of NDRange have been dispatched with "dummy_work_items" support, the option -DDUMMY_WORK_ITEMS must be passed at compile time. - * @note The GEMM's dimensions M, N and K must be passed at compile time using -DM, -DN and -DK (e.g. -DM=52, -DN=90 and -DK=24). - * @note The height of the RHS matrix, defined before creating the OpenCL image object from the OpenCL buffer, should be passed at compile time using -DRHS_HEIGHT=<value> (e.g. -DRHS_HEIGHT=32) - * Since we cannot create a 3d image from a buffer, the third dimension could be collapsed with the second dimension so RHS_HEIGHT - * could be different from the value returned by get_image_height(rhs_img). - * @note The block's dimensions used for reshaping the LHS matrix and the RHS matrix (M0, N0 and K0) must be passed at compile time using -DM0, -DN0 and -DK0 (e.g. -DM0=4, -DN0=8, -DK0=4). - * @note The number of M0xK0 vertical blocks stored on the same output row of the reshaped LHS matrix must be passed at compile time using -DV0 (e.g. -DV0=2) - * @note The number of K0xN0 horizontal blocks stored on the same output row of the reshaped RHS matrix must be passed at compile time using -DH0 (e.g. -DH0=2) - * @note If the M0xK0 blocks in the reshaped LHS matrix have been interleaved, the option -DLHS_INTERLEAVE must passed at compile time. - * @note If the K0xN0 blocks in the reshaped RHS matrix have been interleaved, the option -DRHS_INTERLEAVE must passed at compile time. - * @note The size of the partial store block in y must be passed at compile time using -DPARTIAL_STORE_M0 (e.g. -DPARTIAL_STORE_M0=1) - * @note The size of the partial store block in x must be passed at compile time using -DPARTIAL_STORE_N0 (e.g. -DPARTIAL_STORE_N0=1) - * @note Only the following configurations of M0, N0 and K0 are currently supported: - * - M0 = 2, 3, 4, 8 - * - N0 = 4, 8, 16 - * - K0 = 4, 8, 16 - * - V0 >= 1 - * - H0 >= 1 - * - * @note If the activation type were passed at compile time through -DACTIVATION_TYPE (e.g. -DACTIVATION_TYPE=RELU), A, B variables, required by some activation functions, should be passed at compile time as well using -DA_VAL= and -DB_VAL= respectively. - * The activation function is performed after the bias addition - * @note In case the output has to be reinterpreted as a 3D tensor (e.g. output of convolution layer), the following information must be passed at compile time: - * -# REINTERPRET_OUTPUT_AS_3D: To reinterpret the output as 3D - * -# HEIGHT_GEMM3D: The height of the output in case it has to be reinterpreted as a 3D tensor. - * -# DEPTH_GEMM3D: The depth of the output in case it has to be reinterpreted as a 3D tensor - * (HEIGHT_GEMM3D * DEPTH_GEMM3D) = columns LHS matrix NOT reshaped - * - * @param[in] lhs_ptr Pointer to the LHS reshaped matrix. Supported data type: F32 - * @param[in] lhs_stride_x Stride of the LHS reshaped matrix in X dimension (in bytes) - * @param[in] lhs_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] lhs_stride_y Stride of the LHS reshaped matrix in Y dimension (in bytes) - * @param[in] lhs_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] lhs_offset_first_element_in_bytes The offset of the first element in the LHS reshaped matrix - * @param[in] rhs_img The RHS reshaped matrix as cl_image 2d. Supported data type: same as @p lhs_ptr - * @param[in] bias_ptr (Optional) Pointer to the bias matrix. Supported data type: same as @p lhs_ptr - * @param[in] bias_stride_x (Optional) Stride of the bias matrix in X dimension (in bytes) - * @param[in] bias_step_x (Optional) bias_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] bias_stride_y (Optional) Stride of the bias matrix in Y dimension (in bytes) - * @param[in] bias_step_y (Optional) bias_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] bias_offset_first_element_in_bytes (Optional) The offset of the first element in the bias matrix - * @param[out] dst_ptr Pointer to the destination matrix Supported data type: same as @p lhs_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_offset_first_element_in_bytes The offset of the first element in the destination matrix - * @param[in] k Number of columns in LHS matrix and rows in RHS matrix not reshaped. - * @param[in] lhs_stride_z Stride of the LHS reshaped matrix in Z dimension (in bytes) - * @param[in] rhs_stride_z Stride of the RHS reshaped matrix in Z dimension (in bytes) - * @param[in] bias_stride_z (Optional) Stride of the bias matrix in Z dimension (in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_cross_plane_pad (Optional) Bottom paddings in unit of elements (only if defined REINTERPRET_OUTPUT_AS_3D) - */ -__kernel void gemm_mm_reshaped_lhs_t_rhs_nt_texture(IMAGE_DECLARATION(lhs), - __read_only image2d_t rhs_img, -#if defined(BETA) - IMAGE_DECLARATION(bias), -#endif // defined(BETA) - IMAGE_DECLARATION(dst), - uint k, - uint lhs_stride_z, - uint rhs_stride_z, -#if defined(BETA) - uint bias_stride_z, -#endif //defined(BETA) - uint dst_stride_z -#if defined(REINTERPRET_OUTPUT_AS_3D) - , - uint dst_cross_plane_pad -#endif // REINTERPRET_OUTPUT_AS_3D - ) -{ - // Pixel unit -#define PIXEL_UNIT CONVERT_VECTOR_SIZE_TO_PIXEL_UNIT(N0) - - // Block size -#define LHS_BLOCK_SIZE ((K0) * (M0)) - -#if defined(LHS_INTERLEAVE) -#define LHS_OFFSET_X (M0) -#define LHS_STEP_X ((M0) * (V0)) -#define LHS_STEP_LOOP (1) -#else // defined(INTERLEAVE) -#define LHS_OFFSET_X (LHS_BLOCK_SIZE) -#define LHS_STEP_X (M0) -#define LHS_STEP_LOOP (V0) -#endif // defined(INTERLEAVE) - - // Block size -#define RHS_BLOCK_SIZE ((K0) * (PIXEL_UNIT)) - - // RHS offset and step X -#if defined(RHS_INTERLEAVE) -#define RHS_OFFSET_X (PIXEL_UNIT) -#define RHS_STEP_X ((PIXEL_UNIT) * (H0)) -#else // defined(RHS_INTERLEAVE) -#define RHS_OFFSET_X (RHS_BLOCK_SIZE) -#define RHS_STEP_X (PIXEL_UNIT) -#endif // defined(RHS_INTERLEAVE) - - const uint x = get_global_id(0); - const uint y = get_global_id(1); - const uint z = get_global_id(2); - -#if defined(DUMMY_WORK_ITEMS) - if((x * N0 >= N) || (y * M0 >= M)) - { - return; - } -#endif // defined(DUMMY_WORK_ITEMS) - - // Compute LHS matrix address - __global uchar *lhs_addr = lhs_ptr + lhs_offset_first_element_in_bytes + (y % V0) * (uint)LHS_OFFSET_X * sizeof(DATA_TYPE) + (y / V0) * (uint)lhs_stride_y + (z * lhs_stride_z); - -#if defined(MATRIX_B_DEPTH) - // Do not slide matrix B if the matrix B has 3 dimensions and matrix A more than 3 - const uint z_rhs = (z % MATRIX_B_DEPTH); -#else // defined(MATRIX_B_DEPTH) - const uint z_rhs = z; -#endif // defined(MATRIX_B_DEPTH) - - // Compute RHS matrix coordinates - uint x_rhs = (x % H0) * (uint)RHS_OFFSET_X; - const uint y_rhs = (x / (uint)H0) + z_rhs * RHS_HEIGHT; - - // Initialize the accumulators - REPEAT_VAR_INIT_TO_CONST(M0, VEC_DATA_TYPE(DATA_TYPE_ACCUMULATOR, N0), c, 0); - - REPEAT_VAR_INIT_TO_CONST(M0, uint, zero, 0); - - __global DATA_TYPE *lhs = (__global DATA_TYPE *)(lhs_addr); - - for(int i = 0; i < K; i += K0) - { - VEC_DATA_TYPE(DATA_TYPE, M0) - a0; - VEC_DATA_TYPE(DATA_TYPE, N0) - b0; - - a0 = VLOAD(M0)(0, lhs); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 0 * RHS_STEP_X), (y_rhs)); - - ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); - - lhs += LHS_STEP_X; - -#if K0 > 1 - a0 = VLOAD(M0)(0, lhs); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 1 * RHS_STEP_X), (y_rhs)); - - ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); - - lhs += LHS_STEP_X; -#endif // K0 > 1 - -#if K0 > 2 - a0 = VLOAD(M0)(0, lhs); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 2 * RHS_STEP_X), (y_rhs)); - - ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); - - lhs += LHS_STEP_X; -#endif // K0 > 2 - -#if K0 > 3 - a0 = VLOAD(M0)(0, lhs); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 3 * RHS_STEP_X), (y_rhs)); - - ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); - - lhs += LHS_STEP_X; -#endif // K0 > 3 - -#if K0 > 4 - a0 = VLOAD(M0)(0, lhs); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 4 * RHS_STEP_X), (y_rhs)); - - ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); - - lhs += LHS_STEP_X; - - a0 = VLOAD(M0)(0, lhs); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 5 * RHS_STEP_X), (y_rhs)); - - ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); - - lhs += LHS_STEP_X; - - a0 = VLOAD(M0)(0, lhs); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 6 * RHS_STEP_X), (y_rhs)); - - ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); - - lhs += LHS_STEP_X; - - a0 = VLOAD(M0)(0, lhs); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 7 * RHS_STEP_X), (y_rhs)); - - ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); - - lhs += LHS_STEP_X; -#endif // K0 > 4 - -#if K0 > 8 - a0 = VLOAD(M0)(0, lhs); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 8 * RHS_STEP_X), (y_rhs)); - - ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); - - lhs += LHS_STEP_X; - - a0 = VLOAD(M0)(0, lhs); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 9 * RHS_STEP_X), (y_rhs)); - - ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); - - lhs += LHS_STEP_X; - - a0 = VLOAD(M0)(0, lhs); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 10 * RHS_STEP_X), (y_rhs)); - - ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); - - lhs += LHS_STEP_X; - - a0 = VLOAD(M0)(0, lhs); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 11 * RHS_STEP_X), (y_rhs)); - - ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); - - lhs += LHS_STEP_X; - - a0 = VLOAD(M0)(0, lhs); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 12 * RHS_STEP_X), (y_rhs)); - - ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); - - lhs += LHS_STEP_X; - - a0 = VLOAD(M0)(0, lhs); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 13 * RHS_STEP_X), (y_rhs)); - - ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); - - lhs += LHS_STEP_X; - - a0 = VLOAD(M0)(0, lhs); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 14 * RHS_STEP_X), (y_rhs)); - - ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); - - lhs += LHS_STEP_X; - - a0 = VLOAD(M0)(0, lhs); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 15 * RHS_STEP_X), (y_rhs)); - - ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); - - lhs += LHS_STEP_X; -#endif // K0 > 8 - -#ifndef LHS_INTERLEAVE - lhs += (M0 * K0 * (V0 - 1)); -#endif // LHS_INTERLEAVE - - x_rhs += K0 * RHS_STEP_X; -#ifndef RHS_INTERLEAVE - x_rhs += (PIXEL_UNIT * K0 * (H0 - 1)); -#endif // RHS_INTERLEAVE - } - - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + (x * (uint)N0 * sizeof(DATA_TYPE)) + (y * (uint)M0 * dst_stride_y); - - REPEAT_VAR_INIT_TO_CONST(M0, uint, zout, 0); - -#if defined(REINTERPRET_OUTPUT_AS_3D) - - // The plane (zin) is calculated dividing M (y * M0) by HEIGHT_GEMM3D - CALCULATE_Z_OFFSET(M0, uint, zout, y * (uint)M0, HEIGHT_GEMM3D, DEPTH_GEMM3D, dst_cross_plane_pad, dst_stride_y); - // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we - // multiply dst_stride_z by DEPTH_GEMM3D - dst_addr += z * dst_stride_z * DEPTH_GEMM3D; - -#else // defined(REINTERPRET_OUTPUT_AS_3D) - - // Add offset for batched GEMM - dst_addr += z * dst_stride_z; - -#endif // defined(REINTERPRET_OUTPUT_AS_3D) - - // Multiply by the weight of matrix-matrix product and store the result -#if defined(ALPHA) - SCALE_BLOCK(M0, DATA_TYPE, c, ALPHA); -#endif // defined(ALPHA) - - // Add beta*bias -#if defined(BETA) -#if defined(BROADCAST_BIAS) - __global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (x * (uint)N0 * sizeof(DATA_TYPE)); - - LOAD_BLOCK(1, N0, DATA_TYPE, bias, bias_addr, 0, bias_stride_y, zero); - -#ifndef UNIT_BETA - SCALE_BLOCK(1, DATA_TYPE, bias, BETA); -#endif // UNIT_BIAS - - // c = c + bias[broadcasted] -#if defined(MIXED_PRECISION) - CONVERT_BLOCK(1, N0, DATA_TYPE_ACCUMULATOR, bias, bias_hp); - ADD_BLOCK_BROADCAST(M0, c, bias_hp0); -#else // defined(MIXED_PRECISION) - ADD_BLOCK_BROADCAST(M0, c, bias0); -#endif // defined(MIXED_PRECISION) - -#else // defined(BROADCAST_BIAS) - __global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (x * (uint)N0 * sizeof(DATA_TYPE)) + (y * (uint)M0 * bias_stride_y) + z * bias_stride_z; - - LOAD_BLOCK(M0, N0, DATA_TYPE, bias, bias_addr, 0, bias_stride_y, zero); - -#ifndef UNIT_BETA - SCALE_BLOCK(M0, DATA_TYPE, bias, BETA); -#endif // UNIT_BIAS - -#if defined(MIXED_PRECISION) - CONVERT_BLOCK(M0, N0, DATA_TYPE_ACCUMULATOR, bias, bias_hp); - ADD_BLOCK(M0, c, bias_hp); -#else // defined(MIXED_PRECISION) - ADD_BLOCK(M0, c, bias); -#endif // defined(MIXED_PRECISION) - -#endif // defined(BROADCAST_BIAS) -#endif // defined(BETA) - -#if defined(ACTIVATION_TYPE) -#if defined(MIXED_PRECISION) - ACTIVATION_BLOCK(M0, ACTIVATION_TYPE, DATA_TYPE_ACCUMULATOR, VEC_SIZE, c, A_VAL, B_VAL); -#else // defined(MIXED_PRECISION) - ACTIVATION_BLOCK(M0, ACTIVATION_TYPE, DATA_TYPE, VEC_SIZE, c, A_VAL, B_VAL); -#endif // defined(MIXED_PRECISION) -#endif // defined(ACTIVATION_TYPE) - - const bool cond_y = ((get_global_id(1) + 1) * M0 >= M); - const bool cond_x = ((get_global_id(0) + 1) * N0 >= N); - - // Store output block -#if defined(MIXED_PRECISION) - CONVERT_BLOCK(M0, N0, DATA_TYPE, c, c_lp); - STORE_BLOCK_BOUNDARY_AWARE(M0, N0, DATA_TYPE, c_lp, dst_addr, dst_stride_y, zout, PARTIAL_STORE_M0, PARTIAL_STORE_N0, cond_y, cond_x); -#else // defined(MIXED_PRECISION) - STORE_BLOCK_BOUNDARY_AWARE(M0, N0, DATA_TYPE, c, dst_addr, dst_stride_y, zout, PARTIAL_STORE_M0, PARTIAL_STORE_N0, cond_y, cond_x); -#endif // defined(MIXED_PRECISION) - -#undef LHS_BLOCK_SIZE -#undef LHS_OFFSET_X -#undef LHS_STEP_X -#undef RHS_BLOCK_SIZE -#undef RHS_OFFSET_X -#undef RHS_STEP_X -#undef PIXEL_UNIT -#undef LHS_STEP_LOOP -#undef RHS_STEP_LOOP -} -#endif // defined(OPENCL_IMAGE_SUPPORT) - -#endif // defined(LHS_TRANSPOSE) - -#endif // defined(M0) && defined(N0) && defined(K0) && defined(V0) && defined(H0) && defined(K) && defined(DATA_TYPE) - -#if defined(M0) && defined(N0) && defined(K0) && defined(K) && defined(DATA_TYPE) - -#define VFMA(a, b, c) \ - ({ \ - c = fma(a, b, c); \ - }) - -#if M0 == 1 -#define RHS_VFMA_M0xN0(i, a, b, c) \ - ({ \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \ - }) -#elif M0 == 2 // M0 == 2 -#define RHS_VFMA_M0xN0(i, a, b, c) \ - ({ \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \ - }) -#elif M0 == 3 // M0 == 3 -#define RHS_VFMA_M0xN0(i, a, b, c) \ - ({ \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##2).s##i), b, (c##2)); \ - }) -#elif M0 == 4 // M0 == 4 -#define RHS_VFMA_M0xN0(i, a, b, c) \ - ({ \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##2).s##i), b, (c##2)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##3).s##i), b, (c##3)); \ - }) -#elif M0 == 5 // M0 == 5 -#define RHS_VFMA_M0xN0(i, a, b, c) \ - ({ \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##2).s##i), b, (c##2)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##3).s##i), b, (c##3)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##4).s##i), b, (c##4)); \ - }) -#elif M0 == 6 // M0 == 6 -#define RHS_VFMA_M0xN0(i, a, b, c) \ - ({ \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##2).s##i), b, (c##2)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##3).s##i), b, (c##3)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##4).s##i), b, (c##4)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##5).s##i), b, (c##5)); \ - }) -#elif M0 == 7 // M0 == 7 -#define RHS_VFMA_M0xN0(i, a, b, c) \ - ({ \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##2).s##i), b, (c##2)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##3).s##i), b, (c##3)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##4).s##i), b, (c##4)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##5).s##i), b, (c##5)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##6).s##i), b, (c##6)); \ - }) -#elif M0 == 8 // M0 == 8 -#define RHS_VFMA_M0xN0(i, a, b, c) \ - ({ \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##2).s##i), b, (c##2)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##3).s##i), b, (c##3)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##4).s##i), b, (c##4)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##5).s##i), b, (c##5)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##6).s##i), b, (c##6)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##7).s##i), b, (c##7)); \ - }) -#else // M0 not supported -#error "M0 not supported" -#endif // M0 not supported - -/** This OpenCL kernel computes the matrix multiplication between 2 matrices. - * The LHS matrix is NOT reshaped - * The RHS matrix is NOT reshaped - * - * @note If the first two dimensions of NDRange have been dispatched with "dummy_work_items" support, the option -DDUMMY_WORK_ITEMS must be passed at compile time. - * @note The GEMM's dimensions (M,N and K) must be passed at compile time using -DM, -DN and and -DK (e.g. -DM=52, -DN=30 and -DK=90) - * @note The number of columns of LHS matrix must be passed at compile time using -DK (e.g. -DK=64) - * @note The number of M0 rows to process must be passed at compile time using -DM0 (e.g. -DM0=2) - * @note The number of K0 partial accumulations must be passed at compile time using -DK0 (e.g., -DK0=2) - * @note The number of N0 columns to process must be passed at compile time using -DN0 (e.g. -DN0=2) - * @note The size of the partial store block in y must be passed at compile time using -DPARTIAL_STORE_M0 (e.g. -DPARTIAL_STORE_M0=1) - * @note The size of the partial store block in x must be passed at compile time using -DPARTIAL_STORE_N0 (e.g. -DPARTIAL_STORE_N0=1) - * @note Only the following configurations of M0, N0 and K0 are currently supported: - * - M0 = 1, 2, 3, 4, 5, 6, 7, 8 - * - N0 = 2, 3, 4, 8, 16 - * - K0 = 2, 3, 4, 8, 16 - * - * @note If the activation type were passed at compile time through -DACTIVATION_TYPE (e.g. -DACTIVATION_TYPE=RELU), A, B variables, required by some activation functions, should be passed at compile time as well using -DA_VAL= and -DB_VAL= respectively. - * The activation function is performed after the bias addition - * @note In case the input or output have to be reinterpreted as a 3D tensor, the following information must be passed at compile time: - * -# REINTERPRET_INPUT_AS_3D: To reinterpret the input as 3D - * -# REINTERPRET_OUTPUT_AS_3D: To reinterpret the output as 3D - * -# HEIGHT_GEMM3D: The height of the output in case it has to be reinterpreted as a 3D tensor. - * -# DEPTH_GEMM3D: The depth of the output in case it has to be reinterpreted as a 3D tensor - * (HEIGHT_GEMM3D * DEPTH_GEMM3D) = columns LHS matrix - * - * @param[in] lhs_ptr Pointer to the LHS matrix. Supported data type: F16/F32 - * @param[in] lhs_stride_x Stride of the LHS matrix in X dimension (in bytes) - * @param[in] lhs_step_x lhs_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] lhs_stride_y Stride of the LHS matrix in Y dimension (in bytes) - * @param[in] lhs_step_y lhs_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] lhs_offset_first_element_in_bytes The offset of the first element in the LHS matrix - * @param[in] rhs_ptr Pointer to the RHS matrix. Supported data type: same as @p lhs_ptr - * @param[in] rhs_stride_x Stride of the RHS matrix in X dimension (in bytes) - * @param[in] rhs_step_x rhs_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] rhs_stride_y Stride of the RHS matrix in Y dimension (in bytes) - * @param[in] rhs_step_y rhs_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] rhs_offset_first_element_in_bytes The offset of the first element in the RHS matrix - * @param[in] bias_ptr (Optional) Pointer to the bias matrix. Supported data type: same as @p lhs_ptr - * @param[in] bias_stride_x (Optional) Stride of the bias matrix in X dimension (in bytes) - * @param[in] bias_step_x (Optional) bias_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] bias_stride_y (Optional) Stride of the bias matrix in Y dimension (in bytes) - * @param[in] bias_step_y (Optional) bias_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] bias_offset_first_element_in_bytes (Optional) The offset of the first element in the bias matrix - * @param[out] dst_ptr Pointer to the destination matrix Supported data type: same as @p lhs_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_offset_first_element_in_bytes The offset of the first element in the destination matrix - * @param[in] lhs_stride_z Stride of the LHS matrix in Z dimension (in bytes) - * @param[in] rhs_stride_z Stride of the RHS matrix in Z dimension (in bytes) - * @param[in] bias_stride_z (Optional) Stride of the bias matrix in Z dimension (in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] lhs_cross_plane_pad (Optional) Bottom paddings for LHS matrix in unit of elements (only if defined REINTERPRET_INPUT_AS_3D) - * @param[in] dst_cross_plane_pad (Optional) Bottom paddings for the output matrix in unit of elements (only if defined REINTERPRET_OUTPUT_AS_3D) - */ -__kernel void gemm_mm_native(IMAGE_DECLARATION(lhs), - IMAGE_DECLARATION(rhs), -#if defined(BETA) - IMAGE_DECLARATION(bias), -#endif // defined(BETA) - IMAGE_DECLARATION(dst), - uint lhs_stride_z, - uint rhs_stride_z, -#if defined(BETA) - uint bias_stride_z, -#endif //defined(BETA) - uint dst_stride_z -#if defined(REINTERPRET_INPUT_AS_3D) - , - uint lhs_cross_plane_pad -#endif // REINTERPRET_INPUT_AS_3D -#if defined(REINTERPRET_OUTPUT_AS_3D) - , - uint dst_cross_plane_pad -#endif // REINTERPRET_OUTPUT_AS_3D - ) -{ - // Block size -#define RHS_BLOCK_SIZE ((K0) * (N0)) - - // RHS offset and step X -#define RHS_OFFSET_X (RHS_BLOCK_SIZE) - - uint x = get_global_id(0); - uint y = get_global_id(1); - uint z = get_global_id(2); - -#if defined(DUMMY_WORK_ITEMS) - if((x * N0 >= N) || (y * M0 >= M)) - { - return; - } -#endif // defined(DUMMY_WORK_ITEMS) - - // Compute LHS matrix address - uint lhs_offset = lhs_offset_first_element_in_bytes + COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0) * (uint)lhs_stride_y; - - // Compute RHS matrix address - uint rhs_offset = rhs_offset_first_element_in_bytes + x * N0 * sizeof(DATA_TYPE); - -#if defined(MATRIX_B_DEPTH) - // Do not slide matrix B if the matrix B has 3 dimensions and matrix A more than 3 - rhs_offset += (z % MATRIX_B_DEPTH) * rhs_stride_z; -#else // defined(MATRIX_B_DEPTH) - rhs_offset += z * rhs_stride_z; -#endif // defined(MATRIX_B_DEPTH) - - REPEAT_VAR_INIT_TO_CONST(M0, uint, zlhs, 0); - REPEAT_VAR_INIT_TO_CONST(16, uint, zero, 0); - -#if defined(REINTERPRET_INPUT_AS_3D) - // The plane (zlhs) is calculated dividing M (y * M0) by HEIGHT_GEMM3D - CALCULATE_Z_OFFSET(M0, uint, zlhs, COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0), HEIGHT_GEMM3D, DEPTH_GEMM3D, lhs_cross_plane_pad, lhs_stride_y); - - // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we - // multiply lhs_stride_z by DEPTH_GEMM3D - lhs_offset += z * lhs_stride_z * DEPTH_GEMM3D; - -#else // defined(REINTERPRET_INPUT_AS_3D) - - // Add offset for batched GEMM - lhs_offset += z * lhs_stride_z; - -#endif // defined(REINTERPRET_INPUT_AS_3D) - - // Initialize the accumulators - REPEAT_VAR_INIT_TO_CONST(M0, VEC_DATA_TYPE(DATA_TYPE, N0), c, 0); //VEC_DATA_TYPE(DATA_TYPE, N0) c0=0,c1=0,c2=0,... c(M0-1)=0; - - int i = 0; - for(; i <= (K - K0); i += K0) - { - // Supported cases (M0, K0): - // 1,2 - 1,3 - 1,4 - 1,8 - 1,16 - // 2,2 - 2,3 - 2,4 - 2,8 - 2,16 - // 3,2 - 3,3 - 3,4 - 3,8 - 3,16 - // 4,2 - 4,3 - 4,4 - 4,8 - 4,16 - // 5,2 - 5,3 - 5,4 - 5,8 - 5,16 - // 6,2 - 6,3 - 6,4 - 6,8 - 6,16 - // 7,2 - 7,3 - 7,4 - 7,8 - 7,16 - // 8,2 - 8,3 - 8,4 - 8,8 - 8,16 - // Load values from LHS matrix - LOAD_BLOCK(M0, K0, DATA_TYPE, a, lhs_ptr, lhs_offset, lhs_stride_y, zlhs); - - // Load values from RHS matrix - LOAD_BLOCK(K0, N0, DATA_TYPE, b, rhs_ptr, rhs_offset, rhs_stride_y, zero); - - RHS_VFMA_M0xN0(0, a, b0, c); - RHS_VFMA_M0xN0(1, a, b1, c); -#if K0 > 2 - RHS_VFMA_M0xN0(2, a, b2, c); -#endif // K0 > 2 -#if K0 > 3 - RHS_VFMA_M0xN0(3, a, b3, c); -#endif // K0 > 3 -#if K0 > 4 - RHS_VFMA_M0xN0(4, a, b4, c); - RHS_VFMA_M0xN0(5, a, b5, c); - RHS_VFMA_M0xN0(6, a, b6, c); - RHS_VFMA_M0xN0(7, a, b7, c); -#endif // K0 > 4 -#if K0 > 8 - RHS_VFMA_M0xN0(8, a, b8, c); - RHS_VFMA_M0xN0(9, a, b9, c); - RHS_VFMA_M0xN0(A, a, bA, c); - RHS_VFMA_M0xN0(B, a, bB, c); - RHS_VFMA_M0xN0(C, a, bC, c); - RHS_VFMA_M0xN0(D, a, bD, c); - RHS_VFMA_M0xN0(E, a, bE, c); - RHS_VFMA_M0xN0(F, a, bF, c); -#endif // K0 > 8 - - lhs_offset += K0 * sizeof(DATA_TYPE); - rhs_offset += K0 * rhs_stride_y; - } - - // Left-over accumulations - for(; i < K; ++i) - { - // Load values from LHS matrix - VEC_DATA_TYPE(DATA_TYPE, 2) - a0 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 0 * lhs_stride_y + zlhs0)); -#if M0 > 1 - VEC_DATA_TYPE(DATA_TYPE, 2) - a1 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 1 * lhs_stride_y + zlhs1)); -#endif // M0 > 1 -#if M0 > 2 - VEC_DATA_TYPE(DATA_TYPE, 2) - a2 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 2 * lhs_stride_y + zlhs2)); -#endif // M0 > 2 -#if M0 > 3 - VEC_DATA_TYPE(DATA_TYPE, 2) - a3 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 3 * lhs_stride_y + zlhs3)); -#endif // M0 > 3 -#if M0 > 4 - VEC_DATA_TYPE(DATA_TYPE, 2) - a4 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 4 * lhs_stride_y + zlhs4)); -#endif // M0 > 4 -#if M0 > 5 - VEC_DATA_TYPE(DATA_TYPE, 2) - a5 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 5 * lhs_stride_y + zlhs5)); -#endif // M0 > 5 -#if M0 > 6 - VEC_DATA_TYPE(DATA_TYPE, 2) - a6 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 6 * lhs_stride_y + zlhs6)); -#endif // M0 > 6 -#if M0 > 7 - VEC_DATA_TYPE(DATA_TYPE, 2) - a7 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 7 * lhs_stride_y + zlhs7)); -#endif // M0 > 7 - - VEC_DATA_TYPE(DATA_TYPE, N0) - b = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 0 * rhs_stride_y)); - RHS_VFMA_M0xN0(0, a, b, c); - - lhs_offset += sizeof(DATA_TYPE); - rhs_offset += rhs_stride_y; - } - - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + (x * (uint)N0 * sizeof(DATA_TYPE)) + (COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0) * dst_stride_y); - - REPEAT_VAR_INIT_TO_CONST(M0, uint, zout, 0); - -#if defined(REINTERPRET_OUTPUT_AS_3D) - // The plane (zout) is calculated dividing M (y * M0) by HEIGHT_GEMM3D - CALCULATE_Z_OFFSET(M0, uint, zout, COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0), HEIGHT_GEMM3D, DEPTH_GEMM3D, dst_cross_plane_pad, dst_stride_y); - - // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we - // multiply dst_stride_z by DEPTH_GEMM3D - dst_addr += z * dst_stride_z * DEPTH_GEMM3D; - -#else // defined(REINTERPRET_OUTPUT_AS_3D) - - // Add offset for batched GEMM - dst_addr += z * dst_stride_z; - -#endif // defined(REINTERPRET_OUTPUT_AS_3D) - - // Multiply by the weight of matrix-matrix product and store the result -#if defined(ALPHA) - SCALE_BLOCK(M0, DATA_TYPE, c, ALPHA); -#endif // defined(ALPHA) - - // Add beta*bias -#if defined(BETA) -#if defined(BROADCAST_BIAS) - __global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (get_global_id(0) * (uint)N0 * sizeof(DATA_TYPE)); - - LOAD_BLOCK(1, N0, DATA_TYPE, bias, bias_addr, 0, bias_stride_y, zero); - -#ifndef UNIT_BETA - SCALE_BLOCK(1, DATA_TYPE, bias, BETA); -#endif // UNIT_BIAS - - // c = c + bias[broadcasted] - ADD_BLOCK_BROADCAST(M0, c, bias0); - -#else // defined(BROADCAST_BIAS) - __global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (x * (uint)N0 * sizeof(DATA_TYPE)) + (COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0) * bias_stride_y) + z * bias_stride_z; - - LOAD_BLOCK(M0, N0, DATA_TYPE, bias, bias_addr, 0, bias_stride_y, zero); - -#ifndef UNIT_BETA - SCALE_BLOCK(M0, DATA_TYPE, bias, BETA); -#endif // UNIT_BIAS - - // c = c + bias - ADD_BLOCK(M0, c, bias); - -#endif // defined(BROADCAST_BIAS) -#endif // defined(BETA) - -#if defined(ACTIVATION_TYPE) - ACTIVATION_BLOCK(M0, ACTIVATION_TYPE, DATA_TYPE, VEC_SIZE, c, A_VAL, B_VAL); -#endif // defined(ACTIVATION_TYPE) - - const bool cond_y = y == 0; - const bool cond_x = ((x + 1) * N0 >= N); - - // Store output block - STORE_BLOCK_BOUNDARY_AWARE(M0, N0, DATA_TYPE, c, dst_addr, dst_stride_y, zout, PARTIAL_STORE_M0, PARTIAL_STORE_N0, cond_y, cond_x); - -#undef RHS_BLOCK_SIZE -#undef RHS_OFFSET_X -#undef RHS_STEP_X -} -#endif // defined(M0) && defined(N0) && defined(K0) && defined(K) && defined(DATA_TYPE) - -#if defined(BETA) -/** This OpenCL kernel performs the in-place matrix addition between 2 matrices taking into account that the second matrix might be weighted by a scalar value beta: - * - * @note The beta's value need to be passed at compile time using -DBETA - * - * @param[in] src_ptr Pointer to the source matrix. Supported data types: F32 - * @param[in] src_stride_x Stride of the source matrix 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 matrix 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 destination tensor in Z dimension (in bytes) - * @param[in] src_step_z dst_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 matrix - * @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_gx_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_gx_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 - */ -__kernel void gemm_ma_f32(TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst)) -{ - // Compute source and destination addresses - Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); - Tensor3D dst = CONVERT_TO_TENSOR3D_STRUCT(dst); - - // Load values from A x B - float4 alpha_ab = vload4(0, (__global float *)dst.ptr); - - // Load values from Matrix C - float4 c = vload4(0, (__global float *)src.ptr); - - // Computes alpha * axb + beta * c - float4 out = alpha_ab + (float4)BETA * c; - - // Store final result in axb matrix - vstore4(out, 0, (__global float *)dst.ptr); -} - -#if defined(ARM_COMPUTE_OPENCL_FP16_ENABLED) -/** This OpenCL kernel performs the in-place matrix addition between 2 matrices taking into account that the second matrix might be weighted by a scalar value beta: - * - * @note The beta's value need to be passed at compile time using -DBETA - * - * @param[in] src_ptr Pointer to the source matrix. Supported data types: F16 - * @param[in] src_stride_x Stride of the source matrix 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 matrix 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 destination tensor in Z dimension (in bytes) - * @param[in] src_step_z dst_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 matrix - * @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_gx_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_gx_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 - */ -__kernel void gemm_ma_f16(TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst)) -{ - // Compute source and destination addresses - Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); - Tensor3D dst = CONVERT_TO_TENSOR3D_STRUCT(dst); - - // Load values from A x B - half8 alpha_ab = vload8(0, (__global half *)dst.ptr); - - // Load values from Matrix C - half8 c = vload8(0, (__global half *)src.ptr); - - // Computes alpha * axb + beta * c - half8 out = alpha_ab + (half8)BETA * c; - - // Store final result in axb matrix - vstore8(out, 0, (__global half *)dst.ptr); -} -#endif // defined(ARM_COMPUTE_OPENCL_FP16_ENABLED) -#endif // defined(BETA)
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