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Diffstat (limited to 'src/core/CL/cl_kernels/gemm.cl')
| -rw-r--r-- | src/core/CL/cl_kernels/gemm.cl | 6360 |
1 files changed, 0 insertions, 6360 deletions
diff --git a/src/core/CL/cl_kernels/gemm.cl b/src/core/CL/cl_kernels/gemm.cl deleted file mode 100644 index 8a956010e7..0000000000 --- a/src/core/CL/cl_kernels/gemm.cl +++ /dev/null @@ -1,6360 +0,0 @@ -/* - * Copyright (c) 2017-2020 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) -#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) - -/** 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 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 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: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32 - * @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 - LOAD_BLOCK(M0, K0, DATA_TYPE, a, input_ptr, 0, src_stride_y, zin); - BOUNDARY_CONDITION_X(x, a0); -#if M0 > 1 - BOUNDARY_CONDITION_X(x, a1); -#endif // M0 > 1 -#if M0 > 2 - BOUNDARY_CONDITION_X(x, a2); -#endif // M0 > 2 -#if M0 > 3 - BOUNDARY_CONDITION_X(x, a3); -#endif // M0 > 3 -#if M0 > 4 - BOUNDARY_CONDITION_X(x, a4); -#endif // M0 > 4 -#if M0 > 5 - BOUNDARY_CONDITION_X(x, a5); -#endif // M0 > 5 -#if M0 > 6 - BOUNDARY_CONDITION_X(x, a6); -#endif // M0 > 6 -#if M0 > 7 - BOUNDARY_CONDITION_X(x, a7); -#endif // M0 > 7 - // ---------------------------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 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 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: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32 - * @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 -------------------------------- - - // Load values from the LHS matrix - LOAD_BLOCK(M0, K0, DATA_TYPE, a, input_ptr, 0, src_stride_y, zin); - BOUNDARY_CONDITION_X(x, a0); -#if M0 > 1 - BOUNDARY_CONDITION_X(x, a1); -#endif // M0 > 1 -#if M0 > 2 - BOUNDARY_CONDITION_X(x, a2); -#endif // M0 > 2 -#if M0 > 3 - BOUNDARY_CONDITION_X(x, a3); -#endif // M0 > 3 -#if M0 > 4 - BOUNDARY_CONDITION_X(x, a4); -#endif // M0 > 4 -#if M0 > 5 - BOUNDARY_CONDITION_X(x, a5); -#endif // M0 > 5 -#if M0 > 6 - BOUNDARY_CONDITION_X(x, a6); -#endif // M0 > 6 -#if M0 > 7 - BOUNDARY_CONDITION_X(x, a7); -#endif // M0 > 7 - // ---------------------------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) - -#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: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32 - * @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: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32 - * @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 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 + y * 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, y, 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)) + (y * (uint)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, y, 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 + (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 - ADD_BLOCK(M0, c, bias); - -#endif // defined(BROADCAST_BIAS) -#endif // defined(BETA) - -#if defined(ACTIVATION_TYPE) - ACTIVATION_BLOCK(M0, ACTIVATION_TYPE, DATA_TYPE, c, A_VAL, B_VAL); -#endif // defined(ACTIVATION_TYPE) - - // Store output block - STORE_BLOCK(M0, N0, DATA_TYPE, c, dst_addr, dst_stride_y, zout); - -#undef RHS_BLOCK_SIZE -#undef RHS_OFFSET_X -#undef RHS_STEP_X -} - -#define VFMA(a, b, c) \ - ({ \ - c = fma(a, b, c); \ - }) - -#if M0 == 1 -#define LD_RHS_VFMA_M0xN0(i, a, c) \ - ({ \ - VEC_DATA_TYPE(DATA_TYPE, N0) \ - b = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 0x##i * RHS_STEP_X * sizeof(DATA_TYPE))); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \ - }) -#elif M0 == 2 // M0 == 2 -#define LD_RHS_VFMA_M0xN0(i, a, c) \ - ({ \ - VEC_DATA_TYPE(DATA_TYPE, N0) \ - b = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 0x##i * RHS_STEP_X * sizeof(DATA_TYPE))); \ - 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 LD_RHS_VFMA_M0xN0(i, a, c) \ - ({ \ - VEC_DATA_TYPE(DATA_TYPE, N0) \ - b = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 0x##i * RHS_STEP_X * sizeof(DATA_TYPE))); \ - 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 LD_RHS_VFMA_M0xN0(i, a, c) \ - ({ \ - VEC_DATA_TYPE(DATA_TYPE, N0) \ - b = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 0x##i * RHS_STEP_X * sizeof(DATA_TYPE))); \ - 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 LD_RHS_VFMA_M0xN0(i, a, c) \ - ({ \ - VEC_DATA_TYPE(DATA_TYPE, N0) \ - b = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 0x##i * RHS_STEP_X * sizeof(DATA_TYPE))); \ - 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 LD_RHS_VFMA_M0xN0(i, a, c) \ - ({ \ - VEC_DATA_TYPE(DATA_TYPE, N0) \ - b = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 0x##i * RHS_STEP_X * sizeof(DATA_TYPE))); \ - 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 LD_RHS_VFMA_M0xN0(i, a, c) \ - ({ \ - VEC_DATA_TYPE(DATA_TYPE, N0) \ - b = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 0x##i * RHS_STEP_X * sizeof(DATA_TYPE))); \ - 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 LD_RHS_VFMA_M0xN0(i, a, c) \ - ({ \ - VEC_DATA_TYPE(DATA_TYPE, N0) \ - b = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 0x##i * RHS_STEP_X * sizeof(DATA_TYPE))); \ - 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 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 + y * 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, y, 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); - - LD_RHS_VFMA_M0xN0(0, a, c); - LD_RHS_VFMA_M0xN0(1, a, c); -#if K0 > 2 - LD_RHS_VFMA_M0xN0(2, a, c); -#endif // K0 > 2 -#if K0 > 3 - LD_RHS_VFMA_M0xN0(3, a, c); -#endif // K0 > 3 -#if K0 > 4 - LD_RHS_VFMA_M0xN0(4, a, c); - LD_RHS_VFMA_M0xN0(5, a, c); - LD_RHS_VFMA_M0xN0(6, a, c); - LD_RHS_VFMA_M0xN0(7, a, c); -#endif // K0 > 4 -#if K0 > 8 - LD_RHS_VFMA_M0xN0(8, a, c); - LD_RHS_VFMA_M0xN0(9, a, c); - LD_RHS_VFMA_M0xN0(A, a, c); - LD_RHS_VFMA_M0xN0(B, a, c); - LD_RHS_VFMA_M0xN0(C, a, c); - LD_RHS_VFMA_M0xN0(D, a, c); - LD_RHS_VFMA_M0xN0(E, a, c); - LD_RHS_VFMA_M0xN0(F, a, 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 - - LD_RHS_VFMA_M0xN0(0, a, 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)) + (y * (uint)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, y, 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 + (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 - ADD_BLOCK(M0, c, bias); - -#endif // defined(BROADCAST_BIAS) -#endif // defined(BETA) - -#if defined(ACTIVATION_TYPE) - ACTIVATION_BLOCK(M0, ACTIVATION_TYPE, DATA_TYPE, c, A_VAL, B_VAL); -#endif // defined(ACTIVATION_TYPE) - - // Store output block - STORE_BLOCK(M0, N0, DATA_TYPE, c, dst_addr, dst_stride_y, zout); - -#undef RHS_BLOCK_SIZE -#undef RHS_OFFSET_X -#undef RHS_STEP_X -} -#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 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 and N must be passed at compile time using -DM and -DN (e.g. -DM=52 and -DN=90). - * @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 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), 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, c, A_VAL, B_VAL); -#else // defined(MIXED_PRECISION) - ACTIVATION_BLOCK(M0, ACTIVATION_TYPE, DATA_TYPE, c, A_VAL, B_VAL); -#endif // defined(MIXED_PRECISION) -#endif // defined(ACTIVATION_TYPE) - - // Store output block -#if defined(MIXED_PRECISION) - CONVERT_STORE_BLOCK(M0, N0, DATA_TYPE, c, dst_addr, dst_stride_y, zout); -#else // defined(MIXED_PRECISION) - STORE_BLOCK(M0, N0, DATA_TYPE, c, dst_addr, dst_stride_y, zout); -#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(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 and N must be passed at compile time using -DM and -DN (e.g. -DM=52 and -DN=90). - * @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 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 = VLOAD(M0)(0, lhs); - VEC_DATA_TYPE(DATA_TYPE, N0) - 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, 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, c, A_VAL, B_VAL); -#else // defined(MIXED_PRECISION) - ACTIVATION_BLOCK(M0, ACTIVATION_TYPE, DATA_TYPE, c, A_VAL, B_VAL); -#endif // defined(MIXED_PRECISION) -#endif // defined(ACTIVATION_TYPE) - - // Store output block -#if defined(MIXED_PRECISION) - CONVERT_STORE_BLOCK(M0, N0, DATA_TYPE, c, dst_addr, dst_stride_y, zout); -#else // defined(MIXED_PRECISION) - STORE_BLOCK(M0, N0, DATA_TYPE, c, dst_addr, dst_stride_y, zout); -#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 -} - -#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 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 + y * 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, y, 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)) + (y * (uint)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, y, 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 + (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 - ADD_BLOCK(M0, c, bias); - -#endif // defined(BROADCAST_BIAS) -#endif // defined(BETA) - -#if defined(ACTIVATION_TYPE) - ACTIVATION_BLOCK(M0, ACTIVATION_TYPE, DATA_TYPE, c, A_VAL, B_VAL); -#endif // defined(ACTIVATION_TYPE) - - // Store output block - STORE_BLOCK(M0, N0, DATA_TYPE, c, dst_addr, dst_stride_y, zout); - -#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(COLS_B) && defined(MULT_TRANSPOSE1XW_WIDTH) && defined(MULT_INTERLEAVE4X4_HEIGHT) -/** This OpenCL kernel is optimised for Midgard. It computes the matrix multiplication between matrix A reshaped (src0) and matrix B reshaped (src1) - * - * @note The number of columns of matrix B and the optional alpha's value need to be passed at compile time using -DCOLS_B and -DALPHA - * @note The multiplication factor for the transposition width (mult_transpose1xW_width) must be passed at compile time using -DMULT_TRANSPOSE1XW_WIDTH (e.g. -DMULT_TRANSPOSE1XW_WIDTH=2) - * @note The multiplication factor for the height of the 4x4 interleaved block must be passed at compile time using -DMULT_INTERLEAVE4X4_HEIGHT (e.g. -DMULT_INTERLEAVE4X4_HEIGHT=2) - * @note In case the matrix B has 3 dimensions and the matrix A more than 3, in order to avoid out-of-bounds reads, the number of channels of matrix B must be passed at compile time using MATRIX_B_DEPTH (e.g. -DMATRIX_B_DEPTH=16) - * This case can happen when GEMM is used to perform the element-wise multiplication through a batched matrix multiplication (2D Winograd) and we have multiple inputs (e.g. a = [K, M, 16, Batches], b = [N, K, 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 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 matrix A NOT reshaped - * - * @param[in] src0_ptr Pointer to the source matrix. Supported data types: F32 - * @param[in] src0_stride_x Stride of the source matrix in X dimension (in bytes) - * @param[in] src0_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src0_stride_y Stride of the source matrix in Y dimension (in bytes) - * @param[in] src0_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src0_offset_first_element_in_bytes The offset of the first element in the source matrix - * @param[in] src1_ptr Pointer to the source matrix. Supported data types: same as @p src0_ptr - * @param[in] src1_stride_x Stride of the source matrix in X dimension (in bytes) - * @param[in] src1_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src1_stride_y Stride of the source matrix in Y dimension (in bytes) - * @param[in] src1_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src1_offset_first_element_in_bytes The offset of the first element in the source matrix - * @param[in] src2_ptr (Optional) Pointer to the bias matrix. Supported data type: same as @p lhs_ptr - * @param[in] src2_stride_x (Optional) Stride of the bias matrix in X dimension (in bytes) - * @param[in] src2_step_x (Optional) src2_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src2_stride_y (Optional) Stride of the bias matrix in Y dimension (in bytes) - * @param[in] src2_step_y (Optional) src2_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src2_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 types: same as @p src0_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] src0_stride_z Stride of the source matrix in Z dimension (in bytes) - * @param[in] src1_stride_z Stride of the source matrix in Z dimension (in bytes) - * @param[in] src2_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] cross_plane_pad (Optional) Bottom paddings in unit of elements (only if defined REINTERPRET_OUTPUT_AS_3D) - */ -__kernel void gemm_mm_interleaved_transposed_f32(IMAGE_DECLARATION(src0), - IMAGE_DECLARATION(src1), -#if defined(BETA) - IMAGE_DECLARATION(src2), -#endif // defined(BETA) - IMAGE_DECLARATION(dst), - uint src0_stride_z, - uint src1_stride_z, -#if defined(BETA) - uint src2_stride_z, -#endif //defined(BETA) - uint dst_stride_z -#if defined(REINTERPRET_OUTPUT_AS_3D) - , - uint cross_plane_pad -#endif // REINTERPRET_OUTPUT_AS_3D - ) -{ - int x = get_global_id(0) / MULT_TRANSPOSE1XW_WIDTH; - int y = get_global_id(1) / MULT_INTERLEAVE4X4_HEIGHT; - int z = get_global_id(2); - - // Offset - const int offset_row_a = (get_global_id(1) % MULT_INTERLEAVE4X4_HEIGHT) * 4; - const int offset_row_b = (get_global_id(0) % MULT_TRANSPOSE1XW_WIDTH) * 4; - - // src_addr_a = address of matrix A - // src_addr_b = address of matrix B - int src0_addr_in_bytes = z * src0_stride_z + y * src0_stride_y + src0_offset_first_element_in_bytes; - int src1_addr_in_bytes = x * src1_stride_y + src1_offset_first_element_in_bytes; - -#if defined(MATRIX_B_DEPTH) - // Do not slide matrix B if the matrix B has 3 dimensions and matrix A more than 3 - src1_addr_in_bytes += (z % MATRIX_B_DEPTH) * src1_stride_z; -#else // defined(MATRIX_B_DEPTH) - src1_addr_in_bytes += z * src1_stride_z; -#endif // defined(MATRIX_B_DEPTH) - - __global float *src_addr_a = (__global float *)(src0_ptr + src0_addr_in_bytes); - __global float *src_addr_b = (__global float *)(src1_ptr + src1_addr_in_bytes); - - // Compute end row address for matrix B - __global float *src_end_addr_b = src_addr_b + COLS_B; - - src_addr_a += offset_row_a; - src_addr_b += offset_row_b; - - // Reset accumulators - float4 c0 = 0.0f; - float4 c1 = 0.0f; - float4 c2 = 0.0f; - float4 c3 = 0.0f; - - for(; src_addr_b <= (src_end_addr_b - (int)(8 * MULT_TRANSPOSE1XW_WIDTH)); src_addr_a += 8 * MULT_INTERLEAVE4X4_HEIGHT, src_addr_b += 8 * MULT_TRANSPOSE1XW_WIDTH) - { - // Load values from matrix A (interleaved) and matrix B (transposed) - float4 a0 = vload4(0, src_addr_a); - float4 b0 = vload4(0, src_addr_b); - - c0 += (float4)a0.s0 * b0; - c1 += (float4)a0.s1 * b0; - c2 += (float4)a0.s2 * b0; - c3 += (float4)a0.s3 * b0; - - // Load values from matrix A (interleaved) and matrix B (transposed) - a0 = vload4(0, src_addr_a + 4 * MULT_INTERLEAVE4X4_HEIGHT); - b0 = vload4(0, src_addr_b + 4 * MULT_TRANSPOSE1XW_WIDTH); - - c0 += (float4)a0.s0 * b0; - c1 += (float4)a0.s1 * b0; - c2 += (float4)a0.s2 * b0; - c3 += (float4)a0.s3 * b0; - } - - for(; src_addr_b < src_end_addr_b; src_addr_a += 4 * MULT_INTERLEAVE4X4_HEIGHT, src_addr_b += 4 * MULT_TRANSPOSE1XW_WIDTH) - { - // Load values from matrix A (interleaved) and matrix B (transposed) - float4 a0 = vload4(0, src_addr_a); - float4 b0 = vload4(0, src_addr_b); - - c0 += (float4)a0.s0 * b0; - c1 += (float4)a0.s1 * b0; - c2 += (float4)a0.s2 * b0; - c3 += (float4)a0.s3 * b0; - } - - // Compute destination address - Image dst = CONVERT_TO_IMAGE_STRUCT(dst); - - // Compute dst address - __global uchar *dst_addr = offset(&dst, 0, 0); - - uint4 zout = 0; - -#if defined(REINTERPRET_OUTPUT_AS_3D) - // Since we store a 2D output tile in a 3D tensor, we need to check when the plane changes across the z dimension - // in order to take into account the presence of possible cross plane paddings - // - // | | - // | plane0 | - // | | - // |__________________| - // |******************| - // | cross_plane_pad | - // |******************| - // | | - // | plane1 | - // | | - // |__________________| - - // The plane (zout) is calculated dividing M (get_global_id(1) * 4) by HEIGHT_GEMM3D - zout = ((uint4)(0, 1, 2, 3) + (uint4)(get_global_id(1) * 4)) / (uint4)HEIGHT_GEMM3D; - zout = min(DEPTH_GEMM3D - 1, zout); - - // Add offset due to the cross plane paddings - zout *= (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(4, float, c, ALPHA); -#endif // defined(ALPHA) - - // Add beta*bias -#if defined(BETA) - REPEAT_VAR_INIT_TO_CONST(4, uint, zero, 0); - -#if defined(BROADCAST_BIAS) - __global uchar *src2_addr = src2_ptr + src2_offset_first_element_in_bytes + (get_global_id(0) * (uint)4 * sizeof(float)); - - LOAD_BLOCK(1, 4, float, bias, src2_addr, 0, src2_stride_y, zero); - -#ifndef UNIT_BETA - SCALE_BLOCK(1, float, bias, BETA); -#endif // UNIT_BIAS - - // c = c + bias[broadcasted] - ADD_BLOCK_BROADCAST(4, c, bias0); - -#else // defined(BROADCAST_BIAS) - __global uchar *src2_addr = src2_ptr + src2_offset_first_element_in_bytes + (get_global_id(0) * (uint)4 * sizeof(float)) + (get_global_id(1) * (uint)4 * src2_stride_y) + get_global_id( - 2) * src2_stride_z; - - LOAD_BLOCK(4, 4, float, bias, src2_addr, 0, src2_stride_y, zero); - -#ifndef UNIT_BETA - SCALE_BLOCK(4, float, bias, BETA); -#endif // UNIT_BIAS - - // c = c + bias - ADD_BLOCK(4, c, bias); - -#endif // defined(BROADCAST_BIAS) -#endif // defined(BETA) - -#if defined(ACTIVATION_TYPE) - ACTIVATION_BLOCK(4, ACTIVATION_TYPE, float, c, A_VAL, B_VAL); -#endif // defined(ACTIVATION_TYPE) - - // Store 4x4 block - vstore4(c0, 0, (__global float *)(dst_addr + 0 * dst_stride_y + zout.s0)); - vstore4(c1, 0, (__global float *)(dst_addr + 1 * dst_stride_y + zout.s1)); - vstore4(c2, 0, (__global float *)(dst_addr + 2 * dst_stride_y + zout.s2)); - vstore4(c3, 0, (__global float *)(dst_addr + 3 * dst_stride_y + zout.s3)); -} - -/** This OpenCL kernel is optimized for Bifrost and tt computes the matrix multiplication between matrix A reshaped (src0) and matrix B reshaped (src1) - * - * @note The number of columns of matrix B and the optional alpha's value need to be passed at compile time using -DCOLS_B and -DALPHA - * @note The multiplication factor for the transposition width (mult_transpose1xW_width) must be passed at compile time using -DMULT_TRANSPOSE1XW_WIDTH (e.g. -DMULT_TRANSPOSE1XW_WIDTH=2) - * @note The multiplication factor for the height of the 4x4 interleaved block must be passed at compile time using -DMULT_INTERLEAVE4X4_HEIGHT (e.g. -DMULT_INTERLEAVE4X4_HEIGHT=2) - * @note The multiplication factor for the height of the 4x4 interleaved block must be passed at compile time using -DMULT_INTERLEAVE4X4_HEIGHT (e.g. -DMULT_INTERLEAVE4X4_HEIGHT=2) - * @note In case the matrix B has 3 dimensions and the matrix A more than 3, in order to avoid out-of-bounds reads, the number of channels of matrix B must be passed at compile time using MATRIX_B_DEPTH (e.g. -DMATRIX_B_DEPTH=16) - * This case can happen when GEMM is used to perform the element-wise multiplication through a batched matrix multiplication (2D Winograd) and we have multiple inputs (e.g. a = [K, M, 16, Batches], b = [N, K, 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 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 matrix A NOT reshaped - * - * @param[in] src0_ptr Pointer to the source matrix. Supported data types: F32 - * @param[in] src0_stride_x Stride of the source matrix in X dimension (in bytes) - * @param[in] src0_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src0_stride_y Stride of the source matrix in Y dimension (in bytes) - * @param[in] src0_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src0_offset_first_element_in_bytes The offset of the first element in the source matrix - * @param[in] src1_ptr Pointer to the source matrix. Supported data types: same as @p src0_ptr - * @param[in] src1_stride_x Stride of the source matrix in X dimension (in bytes) - * @param[in] src1_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src1_stride_y Stride of the source matrix in Y dimension (in bytes) - * @param[in] src1_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src1_offset_first_element_in_bytes The offset of the first element in the source matrix - * @param[in] src2_ptr (Optional) Pointer to the bias matrix. Supported data type: same as @p lhs_ptr - * @param[in] src2_stride_x (Optional) Stride of the bias matrix in X dimension (in bytes) - * @param[in] src2_step_x (Optional) src2_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src2_stride_y (Optional) Stride of the bias matrix in Y dimension (in bytes) - * @param[in] src2_step_y (Optional) src2_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src2_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 types: same as @p src0_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] src0_stride_z Stride of the source matrix in Z dimension (in bytes) - * @param[in] src1_stride_z Stride of the source matrix in Z dimension (in bytes) - * @param[in] src2_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] cross_plane_pad (Optional) Bottom paddings in unit of elements (only if defined REINTERPRET_OUTPUT_AS_3D) - */ -__kernel void gemm_mm_interleaved_transposed_f32_bifrost(IMAGE_DECLARATION(src0), - IMAGE_DECLARATION(src1), -#if defined(BETA) - IMAGE_DECLARATION(src2), -#endif // defined(BETA) - IMAGE_DECLARATION(dst), - uint src0_stride_z, - uint src1_stride_z, -#if defined(BETA) - uint src2_stride_z, -#endif //defined(BETA) - uint dst_stride_z -#if defined(REINTERPRET_OUTPUT_AS_3D) - , - uint cross_plane_pad -#endif // REINTERPRET_OUTPUT_AS_3D - ) -{ - int x = get_global_id(0) / MULT_TRANSPOSE1XW_WIDTH; - int y = get_global_id(1) / MULT_INTERLEAVE4X4_HEIGHT; - int z = get_global_id(2); - - // Offset - const int offset_row_a = (get_global_id(1) % MULT_INTERLEAVE4X4_HEIGHT) * 4; - const int offset_row_b = (get_global_id(0) % MULT_TRANSPOSE1XW_WIDTH) * 4; - - // src_addr_a = address of matrix A - // src_addr_b = address of matrix B - int src0_addr_in_bytes = z * src0_stride_z + y * src0_stride_y + src0_offset_first_element_in_bytes; - int src1_addr_in_bytes = x * src1_stride_y + src1_offset_first_element_in_bytes; - -#if defined(MATRIX_B_DEPTH) - // Do not slide matrix B if the matrix B has 3 dimensions and matrix A more than 3 - src1_addr_in_bytes += (z % MATRIX_B_DEPTH) * src1_stride_z; -#else // defined(MATRIX_B_DEPTH) - src1_addr_in_bytes += z * src1_stride_z; -#endif // defined(MATRIX_B_DEPTH) - - __global float *src_addr_a = (__global float *)(src0_ptr + src0_addr_in_bytes); - __global float *src_addr_b = (__global float *)(src1_ptr + src1_addr_in_bytes); - - src_addr_a += offset_row_a; - src_addr_b += offset_row_b; - - // Reset accumulators - float4 c0 = 0.0f; - float4 c1 = 0.0f; - float4 c2 = 0.0f; - float4 c3 = 0.0f; - -#define COLS_MTX_B (COLS_B / (4 * MULT_TRANSPOSE1XW_WIDTH)) - - int i = 0; - for(; i <= (int)(COLS_MTX_B - 4); i += 4) - { - // Load values from matrix A (interleaved) and matrix B (transposed) - float4 a0 = vload4(0, src_addr_a); - float4 b0 = vload4(0, src_addr_b); - - src_addr_a += 4 * MULT_INTERLEAVE4X4_HEIGHT; - src_addr_b += 4 * MULT_TRANSPOSE1XW_WIDTH; - - c0.s0 = fma(a0.s0, b0.s0, c0.s0); - c0.s1 = fma(a0.s0, b0.s1, c0.s1); - c0.s2 = fma(a0.s0, b0.s2, c0.s2); - c0.s3 = fma(a0.s0, b0.s3, c0.s3); - - c1.s0 = fma(a0.s1, b0.s0, c1.s0); - c1.s1 = fma(a0.s1, b0.s1, c1.s1); - c1.s2 = fma(a0.s1, b0.s2, c1.s2); - c1.s3 = fma(a0.s1, b0.s3, c1.s3); - - c2.s0 = fma(a0.s2, b0.s0, c2.s0); - c2.s1 = fma(a0.s2, b0.s1, c2.s1); - c2.s2 = fma(a0.s2, b0.s2, c2.s2); - c2.s3 = fma(a0.s2, b0.s3, c2.s3); - - c3.s0 = fma(a0.s3, b0.s0, c3.s0); - c3.s1 = fma(a0.s3, b0.s1, c3.s1); - c3.s2 = fma(a0.s3, b0.s2, c3.s2); - c3.s3 = fma(a0.s3, b0.s3, c3.s3); - - // Load values from matrix A (interleaved) and matrix B (transposed) - a0 = vload4(0, src_addr_a); - b0 = vload4(0, src_addr_b); - - src_addr_a += 4 * MULT_INTERLEAVE4X4_HEIGHT; - src_addr_b += 4 * MULT_TRANSPOSE1XW_WIDTH; - - c0.s0 = fma(a0.s0, b0.s0, c0.s0); - c0.s1 = fma(a0.s0, b0.s1, c0.s1); - c0.s2 = fma(a0.s0, b0.s2, c0.s2); - c0.s3 = fma(a0.s0, b0.s3, c0.s3); - - c1.s0 = fma(a0.s1, b0.s0, c1.s0); - c1.s1 = fma(a0.s1, b0.s1, c1.s1); - c1.s2 = fma(a0.s1, b0.s2, c1.s2); - c1.s3 = fma(a0.s1, b0.s3, c1.s3); - - c2.s0 = fma(a0.s2, b0.s0, c2.s0); - c2.s1 = fma(a0.s2, b0.s1, c2.s1); - c2.s2 = fma(a0.s2, b0.s2, c2.s2); - c2.s3 = fma(a0.s2, b0.s3, c2.s3); - - c3.s0 = fma(a0.s3, b0.s0, c3.s0); - c3.s1 = fma(a0.s3, b0.s1, c3.s1); - c3.s2 = fma(a0.s3, b0.s2, c3.s2); - c3.s3 = fma(a0.s3, b0.s3, c3.s3); - - // Load values from matrix A (interleaved) and matrix B (transposed) - a0 = vload4(0, src_addr_a); - b0 = vload4(0, src_addr_b); - - src_addr_a += 4 * MULT_INTERLEAVE4X4_HEIGHT; - src_addr_b += 4 * MULT_TRANSPOSE1XW_WIDTH; - - c0.s0 = fma(a0.s0, b0.s0, c0.s0); - c0.s1 = fma(a0.s0, b0.s1, c0.s1); - c0.s2 = fma(a0.s0, b0.s2, c0.s2); - c0.s3 = fma(a0.s0, b0.s3, c0.s3); - - c1.s0 = fma(a0.s1, b0.s0, c1.s0); - c1.s1 = fma(a0.s1, b0.s1, c1.s1); - c1.s2 = fma(a0.s1, b0.s2, c1.s2); - c1.s3 = fma(a0.s1, b0.s3, c1.s3); - - c2.s0 = fma(a0.s2, b0.s0, c2.s0); - c2.s1 = fma(a0.s2, b0.s1, c2.s1); - c2.s2 = fma(a0.s2, b0.s2, c2.s2); - c2.s3 = fma(a0.s2, b0.s3, c2.s3); - - c3.s0 = fma(a0.s3, b0.s0, c3.s0); - c3.s1 = fma(a0.s3, b0.s1, c3.s1); - c3.s2 = fma(a0.s3, b0.s2, c3.s2); - c3.s3 = fma(a0.s3, b0.s3, c3.s3); - - // Load values from matrix A (interleaved) and matrix B (transposed) - a0 = vload4(0, src_addr_a); - b0 = vload4(0, src_addr_b); - - src_addr_a += 4 * MULT_INTERLEAVE4X4_HEIGHT; - src_addr_b += 4 * MULT_TRANSPOSE1XW_WIDTH; - - c0.s0 = fma(a0.s0, b0.s0, c0.s0); - c0.s1 = fma(a0.s0, b0.s1, c0.s1); - c0.s2 = fma(a0.s0, b0.s2, c0.s2); - c0.s3 = fma(a0.s0, b0.s3, c0.s3); - - c1.s0 = fma(a0.s1, b0.s0, c1.s0); - c1.s1 = fma(a0.s1, b0.s1, c1.s1); - c1.s2 = fma(a0.s1, b0.s2, c1.s2); - c1.s3 = fma(a0.s1, b0.s3, c1.s3); - - c2.s0 = fma(a0.s2, b0.s0, c2.s0); - c2.s1 = fma(a0.s2, b0.s1, c2.s1); - c2.s2 = fma(a0.s2, b0.s2, c2.s2); - c2.s3 = fma(a0.s2, b0.s3, c2.s3); - - c3.s0 = fma(a0.s3, b0.s0, c3.s0); - c3.s1 = fma(a0.s3, b0.s1, c3.s1); - c3.s2 = fma(a0.s3, b0.s2, c3.s2); - c3.s3 = fma(a0.s3, b0.s3, c3.s3); - } - - for(; i < (int)(COLS_MTX_B); ++i) - { - // Load values from matrix A (interleaved) and matrix B (transposed) - float4 a0 = vload4(0, src_addr_a); - float4 b0 = vload4(0, src_addr_b); - - src_addr_a += 4 * MULT_INTERLEAVE4X4_HEIGHT; - src_addr_b += 4 * MULT_TRANSPOSE1XW_WIDTH; - - c0.s0 = fma(a0.s0, b0.s0, c0.s0); - c0.s1 = fma(a0.s0, b0.s1, c0.s1); - c0.s2 = fma(a0.s0, b0.s2, c0.s2); - c0.s3 = fma(a0.s0, b0.s3, c0.s3); - - c1.s0 = fma(a0.s1, b0.s0, c1.s0); - c1.s1 = fma(a0.s1, b0.s1, c1.s1); - c1.s2 = fma(a0.s1, b0.s2, c1.s2); - c1.s3 = fma(a0.s1, b0.s3, c1.s3); - - c2.s0 = fma(a0.s2, b0.s0, c2.s0); - c2.s1 = fma(a0.s2, b0.s1, c2.s1); - c2.s2 = fma(a0.s2, b0.s2, c2.s2); - c2.s3 = fma(a0.s2, b0.s3, c2.s3); - - c3.s0 = fma(a0.s3, b0.s0, c3.s0); - c3.s1 = fma(a0.s3, b0.s1, c3.s1); - c3.s2 = fma(a0.s3, b0.s2, c3.s2); - c3.s3 = fma(a0.s3, b0.s3, c3.s3); - } - - // Compute destination address - Image dst = CONVERT_TO_IMAGE_STRUCT(dst); - - // Compute dst address - __global uchar *dst_addr = offset(&dst, 0, 0); - - uint4 zout = 0; - -#if defined(REINTERPRET_OUTPUT_AS_3D) - // Since we store a 2D output tile in a 3D tensor, we need to check when the plane changes across the z dimension - // in order to take into account the presence of possible cross plane paddings - // - // | | - // | plane0 | - // | | - // |__________________| - // |******************| - // | cross_plane_pad | - // |******************| - // | | - // | plane1 | - // | | - // |__________________| - - // The plane (zout) is calculated dividing M (get_global_id(1) * 4) by HEIGHT_GEMM3D - zout = ((uint4)(0, 1, 2, 3) + (uint4)(get_global_id(1) * 4)) / (uint4)HEIGHT_GEMM3D; - zout = min(DEPTH_GEMM3D - 1, zout); - - // Add offset due to the cross plane paddings - zout *= (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(4, float, c, ALPHA); -#endif // defined(ALPHA) - - // Add beta*bias -#if defined(BETA) - REPEAT_VAR_INIT_TO_CONST(4, uint, zero, 0); - -#if defined(BROADCAST_BIAS) - __global uchar *src2_addr = src2_ptr + src2_offset_first_element_in_bytes + (get_global_id(0) * (uint)4 * sizeof(float)); - - LOAD_BLOCK(1, 4, float, bias, src2_addr, 0, src2_stride_y, zero); - -#ifndef UNIT_BETA - SCALE_BLOCK(1, float, bias, BETA); -#endif // UNIT_BIAS - - // c = c + bias[broadcasted] - ADD_BLOCK_BROADCAST(4, c, bias0); - -#else // defined(BROADCAST_BIAS) - __global uchar *src2_addr = src2_ptr + src2_offset_first_element_in_bytes + (get_global_id(0) * (uint)4 * sizeof(float)) + (get_global_id(1) * (uint)4 * src2_stride_y) + get_global_id( - 2) * src2_stride_z; - - LOAD_BLOCK(4, 4, float, bias, src2_addr, 0, src2_stride_y, zero); - -#ifndef UNIT_BETA - SCALE_BLOCK(4, float, bias, BETA); -#endif // UNIT_BIAS - - // c = c + bias - ADD_BLOCK(4, c, bias); - -#endif // defined(BROADCAST_BIAS) -#endif // defined(BETA) - -#if defined(ACTIVATION_TYPE) - ACTIVATION_BLOCK(4, ACTIVATION_TYPE, float, c, A_VAL, B_VAL); -#endif // defined(ACTIVATION_TYPE) - - // Store 4x4 block - vstore4(c0, 0, (__global float *)(dst_addr + 0 * dst_stride_y + zout.s0)); - vstore4(c1, 0, (__global float *)(dst_addr + 1 * dst_stride_y + zout.s1)); - vstore4(c2, 0, (__global float *)(dst_addr + 2 * dst_stride_y + zout.s2)); - vstore4(c3, 0, (__global float *)(dst_addr + 3 * dst_stride_y + zout.s3)); -} - -// Undefine local defines -#undef COLS_MTX_B - -#if defined(ARM_COMPUTE_OPENCL_FP16_ENABLED) -/** This OpenCL kernel computes the matrix multiplication between matrix A reshaped (src0) and matrix B reshaped (src1) - * - * @note The number of columns of matrix B and the optional alpha's value need to be passed at compile time using -DCOLS_B and -DALPHA - * @note The multiplication factor for the transposition width (mult_transpose1xW_width) must be passed at compile time using -DMULT_TRANSPOSE1XW_WIDTH (e.g. -DMULT_TRANSPOSE1XW_WIDTH=2) - * @note The multiplication factor for the height of the 4x4 interleaved block must be passed at compile time using -DMULT_INTERLEAVE4X4_HEIGHT (e.g. -DMULT_INTERLEAVE4X4_HEIGHT=2) - * @note In case the matrix B has 3 dimensions and the matrix A more than 3, in order to avoid out-of-bounds reads, the number of channels of matrix B must be passed at compile time using MATRIX_B_DEPTH (e.g. -DMATRIX_B_DEPTH=16) - * This case can happen when GEMM is used to perform the element-wise multiplication through a batched matrix multiplication (2D Winograd) and we have multiple inputs (e.g. a = [K, M, 16, Batches], b = [N, K, 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 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 matrix A NOT reshaped - * - * @param[in] src0_ptr Pointer to the source matrix. Supported data types: F16 - * @param[in] src0_stride_x Stride of the source matrix in X dimension (in bytes) - * @param[in] src0_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src0_stride_y Stride of the source matrix in Y dimension (in bytes) - * @param[in] src0_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src0_offset_first_element_in_bytes The offset of the first element in the source matrix - * @param[in] src1_ptr Pointer to the source matrix. Supported data types: same as @p src0_ptr - * @param[in] src1_stride_x Stride of the source matrix in X dimension (in bytes) - * @param[in] src1_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src1_stride_y Stride of the source matrix in Y dimension (in bytes) - * @param[in] src1_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src1_offset_first_element_in_bytes The offset of the first element in the source matrix - * @param[in] src2_ptr (Optional) Pointer to the bias matrix. Supported data type: same as @p lhs_ptr - * @param[in] src2_stride_x (Optional) Stride of the bias matrix in X dimension (in bytes) - * @param[in] src2_step_x (Optional) src2_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src2_stride_y (Optional) Stride of the bias matrix in Y dimension (in bytes) - * @param[in] src2_step_y (Optional) src2_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src2_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 types: same as @p src0_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] src0_stride_z Stride of the source matrix in Z dimension (in bytes) - * @param[in] src1_stride_z Stride of the source matrix in Z dimension (in bytes) - * @param[in] src2_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] cross_plane_pad (Optional) Bottom paddings in unit of elements (only if defined REINTERPRET_OUTPUT_AS_3D) - */ -__kernel void gemm_mm_interleaved_transposed_f16(IMAGE_DECLARATION(src0), - IMAGE_DECLARATION(src1), -#if defined(BETA) - IMAGE_DECLARATION(src2), -#endif // defined(BETA) - IMAGE_DECLARATION(dst), - uint src0_stride_z, - uint src1_stride_z, -#if defined(BETA) - uint src2_stride_z, -#endif //defined(BETA) - uint dst_stride_z -#if defined(REINTERPRET_OUTPUT_AS_3D) - , - uint cross_plane_pad -#endif // REINTERPRET_OUTPUT_AS_3D - ) -{ - int x = get_global_id(0) / MULT_TRANSPOSE1XW_WIDTH; - int y = get_global_id(1) / MULT_INTERLEAVE4X4_HEIGHT; - int z = get_global_id(2); - - // Offset - const int offset_row_a = (get_global_id(1) % MULT_INTERLEAVE4X4_HEIGHT) * 4; - const int offset_row_b = (get_global_id(0) % MULT_TRANSPOSE1XW_WIDTH) * 8; - - // src_addr_a = address of matrix A - // src_addr_b = address of matrix B - int src0_addr_in_bytes = z * src0_stride_z + y * src0_stride_y + src0_offset_first_element_in_bytes; - int src1_addr_in_bytes = x * src1_stride_y + src1_offset_first_element_in_bytes; - -#if defined(MATRIX_B_DEPTH) - // Do not slide matrix B if the matrix B has 3 dimensions and matrix A more than 3 - src1_addr_in_bytes += (z % MATRIX_B_DEPTH) * src1_stride_z; -#else // defined(MATRIX_B_DEPTH) - src1_addr_in_bytes += z * src1_stride_z; -#endif // defined(MATRIX_B_DEPTH) - - __global half *src_addr_a = (__global half *)(src0_ptr + src0_addr_in_bytes); - __global half *src_addr_b = (__global half *)(src1_ptr + src1_addr_in_bytes); - - // Compute end row address for matrix B - __global half *src_end_addr_b = src_addr_b + COLS_B; - - src_addr_a += offset_row_a; - src_addr_b += offset_row_b; - - // Reset accumulators - half8 c0 = 0.0f; - half8 c1 = 0.0f; - half8 c2 = 0.0f; - half8 c3 = 0.0f; - - for(; src_addr_b <= (src_end_addr_b - (int)(16 * MULT_TRANSPOSE1XW_WIDTH)); src_addr_a += 8 * MULT_INTERLEAVE4X4_HEIGHT, src_addr_b += 16 * MULT_TRANSPOSE1XW_WIDTH) - { - // Load values from matrix A (interleaved) and matrix B (transposed) - half4 a0 = vload4(0, src_addr_a); - half8 b0 = vload8(0, src_addr_b); - - c0 += (half8)a0.s0 * b0; - c1 += (half8)a0.s1 * b0; - c2 += (half8)a0.s2 * b0; - c3 += (half8)a0.s3 * b0; - - // Load values from matrix A (interleaved) and matrix B (transposed) - a0 = vload4(0, src_addr_a + 4 * MULT_INTERLEAVE4X4_HEIGHT); - b0 = vload8(0, src_addr_b + 8 * MULT_TRANSPOSE1XW_WIDTH); - - c0 += (half8)a0.s0 * b0; - c1 += (half8)a0.s1 * b0; - c2 += (half8)a0.s2 * b0; - c3 += (half8)a0.s3 * b0; - } - - for(; src_addr_b < src_end_addr_b; src_addr_a += 4 * MULT_INTERLEAVE4X4_HEIGHT, src_addr_b += 8 * MULT_TRANSPOSE1XW_WIDTH) - { - // Load values from matrix A (interleaved) and matrix B (transposed) - half4 a0 = vload4(0, src_addr_a); - half8 b0 = vload8(0, src_addr_b); - - c0 += (half8)a0.s0 * b0; - c1 += (half8)a0.s1 * b0; - c2 += (half8)a0.s2 * b0; - c3 += (half8)a0.s3 * b0; - } - - // Compute destination address - Image dst = CONVERT_TO_IMAGE_STRUCT(dst); - - // Compute dst address - __global uchar *dst_addr = offset(&dst, 0, 0); - - uint4 zout = 0; - -#if defined(REINTERPRET_OUTPUT_AS_3D) - // Since we store a 2D output tile in a 3D tensor, we need to check when the plane changes across the z dimension - // in order to take into account the presence of possible cross plane paddings - // - // | | - // | plane0 | - // | | - // |__________________| - // |******************| - // | cross_plane_pad | - // |******************| - // | | - // | plane1 | - // | | - // |__________________| - - // The plane (zout) is calculated dividing M (get_global_id(1) * 4) by HEIGHT_GEMM3D - zout = ((uint4)(0, 1, 2, 3) + (uint4)(get_global_id(1) * 4)) / (uint4)HEIGHT_GEMM3D; - zout = min(DEPTH_GEMM3D - 1, zout); - - // Add offset due to the cross plane paddings - zout *= (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(4, half, c, ALPHA); -#endif // defined(ALPHA) - - // Add beta*bias -#if defined(BETA) - REPEAT_VAR_INIT_TO_CONST(4, uint, zero, 0); - -#if defined(BROADCAST_BIAS) - __global uchar *src2_addr = src2_ptr + src2_offset_first_element_in_bytes + (get_global_id(0) * (uint)8 * sizeof(half)); - - LOAD_BLOCK(1, 8, half, bias, src2_addr, 0, src2_stride_y, zero); - -#ifndef UNIT_BETA - SCALE_BLOCK(1, half, bias, BETA); -#endif // UNIT_BIAS - - // c = c + bias[broadcasted] - ADD_BLOCK_BROADCAST(4, c, bias0); - -#else // defined(BROADCAST_BIAS) - - __global uchar *src2_addr = src2_ptr + src2_offset_first_element_in_bytes + (get_global_id(0) * (uint)8 * sizeof(half)) + (get_global_id(1) * (uint)4 * src2_stride_y) + get_global_id( - 2) * src2_stride_z; - - LOAD_BLOCK(4, 8, half, bias, src2_addr, 0, src2_stride_y, zero); - -#ifndef UNIT_BETA - SCALE_BLOCK(4, half, bias, BETA); -#endif // UNIT_BIAS - - // c = c + bias - ADD_BLOCK(4, c, bias); - -#endif // defined(BROADCAST_BIAS) -#endif // defined(BETA) - -#if defined(ACTIVATION_TYPE) - ACTIVATION_BLOCK(4, ACTIVATION_TYPE, half, c, A_VAL, B_VAL); -#endif // defined(ACTIVATION_TYPE) - - // Store 4x8 block - vstore8(c0, 0, (__global half *)(dst_addr + 0 * dst_stride_y + zout.s0)); - vstore8(c1, 0, (__global half *)(dst_addr + 1 * dst_stride_y + zout.s1)); - vstore8(c2, 0, (__global half *)(dst_addr + 2 * dst_stride_y + zout.s2)); - vstore8(c3, 0, (__global half *)(dst_addr + 3 * dst_stride_y + zout.s3)); -} - -/** This OpenCL kernel computes the matrix multiplication between matrix A reshaped (src0) and matrix B reshaped (src1) while accumulating the result in a 32 floating point variable. - * - * @note The number of columns of matrix B and the optional alpha's value need to be passed at compile time using -DCOLS_B and -DALPHA - * @note The multiplication factor for the transposition width (mult_transpose1xW_width) must be passed at compile time using -DMULT_TRANSPOSE1XW_WIDTH (e.g. -DMULT_TRANSPOSE1XW_WIDTH=2) - * @note The multiplication factor for the height of the 4x4 interleaved block must be passed at compile time using -DMULT_INTERLEAVE4X4_HEIGHT (e.g. -DMULT_INTERLEAVE4X4_HEIGHT=2) - * @note In case the matrix B has 3 dimensions and the matrix A more than 3, in order to avoid out-of-bounds reads, the number of channels of matrix B must be passed at compile time using MATRIX_B_DEPTH (e.g. -DMATRIX_B_DEPTH=16) - * This case can happen when GEMM is used to perform the element-wise multiplication through a batched matrix multiplication (2D Winograd) and we have multiple inputs (e.g. a = [K, M, 16, Batches], b = [N, K, 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 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 matrix A NOT reshaped - * - * @param[in] src0_ptr Pointer to the source matrix. Supported data types: F16 - * @param[in] src0_stride_x Stride of the source matrix in X dimension (in bytes) - * @param[in] src0_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src0_stride_y Stride of the source matrix in Y dimension (in bytes) - * @param[in] src0_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src0_offset_first_element_in_bytes The offset of the first element in the source matrix - * @param[in] src1_ptr Pointer to the source matrix. Supported data types: same as @p src0_ptr - * @param[in] src1_stride_x Stride of the source matrix in X dimension (in bytes) - * @param[in] src1_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src1_stride_y Stride of the source matrix in Y dimension (in bytes) - * @param[in] src1_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src1_offset_first_element_in_bytes The offset of the first element in the source matrix - * @param[in] src2_ptr (Optional) Pointer to the bias matrix. Supported data type: same as @p lhs_ptr - * @param[in] src2_stride_x (Optional) Stride of the bias matrix in X dimension (in bytes) - * @param[in] src2_step_x (Optional) src2_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src2_stride_y (Optional) Stride of the bias matrix in Y dimension (in bytes) - * @param[in] src2_step_y (Optional) src2_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src2_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 types: same as @p src0_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] src0_stride_z Stride of the source matrix in Z dimension (in bytes) - * @param[in] src1_stride_z Stride of the source matrix in Z dimension (in bytes) - * @param[in] src2_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] cross_plane_pad (Optional) Bottom paddings in unit of elements (only if defined REINTERPRET_OUTPUT_AS_3D) - */ -__kernel void gemm_mm_interleaved_transposed_f16_acc32(IMAGE_DECLARATION(src0), - IMAGE_DECLARATION(src1), -#if defined(BETA) - IMAGE_DECLARATION(src2), -#endif // defined(BETA) - IMAGE_DECLARATION(dst), - uint src0_stride_z, - uint src1_stride_z, -#if defined(BETA) - uint src2_stride_z, -#endif //defined(BETA) - uint dst_stride_z -#if defined(REINTERPRET_OUTPUT_AS_3D) - , - uint cross_plane_pad -#endif // REINTERPRET_OUTPUT_AS_3D - ) -{ - int x = get_global_id(0) / MULT_TRANSPOSE1XW_WIDTH; - int y = get_global_id(1) / MULT_INTERLEAVE4X4_HEIGHT; - int z = get_global_id(2); - - // Offset - const int offset_row_a = (get_global_id(1) % MULT_INTERLEAVE4X4_HEIGHT) * 4; - const int offset_row_b = (get_global_id(0) % MULT_TRANSPOSE1XW_WIDTH) * 8; - - // src_addr_a = address of matrix A - // src_addr_b = address of matrix B - int src0_addr_in_bytes = z * src0_stride_z + y * src0_stride_y + src0_offset_first_element_in_bytes; - int src1_addr_in_bytes = x * src1_stride_y + src1_offset_first_element_in_bytes; - -#if defined(MATRIX_B_DEPTH) - // Do not slide matrix B if the matrix B has 3 dimensions and matrix A more than 3 - src1_addr_in_bytes += (z % MATRIX_B_DEPTH) * src1_stride_z; -#else // defined(MATRIX_B_DEPTH) - src1_addr_in_bytes += z * src1_stride_z; -#endif // defined(MATRIX_B_DEPTH) - - __global half *src_addr_a = (__global half *)(src0_ptr + src0_addr_in_bytes); - __global half *src_addr_b = (__global half *)(src1_ptr + src1_addr_in_bytes); - - // Compute end row address for matrix B - __global half *src_end_addr_b = src_addr_b + COLS_B; - - src_addr_a += offset_row_a; - src_addr_b += offset_row_b; - - // Reset accumulators - float8 c0 = 0.0f; - float8 c1 = 0.0f; - float8 c2 = 0.0f; - float8 c3 = 0.0f; - - for(; src_addr_b <= (src_end_addr_b - (int)(16 * MULT_TRANSPOSE1XW_WIDTH)); src_addr_a += 8 * MULT_INTERLEAVE4X4_HEIGHT, src_addr_b += 16 * MULT_TRANSPOSE1XW_WIDTH) - { - // Load values from matrix A (interleaved) and matrix B (transposed) - float4 a0 = convert_float4(vload4(0, src_addr_a)); - float8 b0 = convert_float8(vload8(0, src_addr_b)); - - c0 += (float8)a0.s0 * b0; - c1 += (float8)a0.s1 * b0; - c2 += (float8)a0.s2 * b0; - c3 += (float8)a0.s3 * b0; - - // Load values from matrix A (interleaved) and matrix B (transposed) - a0 = convert_float4(vload4(0, src_addr_a + 4 * MULT_INTERLEAVE4X4_HEIGHT)); - b0 = convert_float8(vload8(0, src_addr_b + 8 * MULT_TRANSPOSE1XW_WIDTH)); - - c0 += (float8)a0.s0 * b0; - c1 += (float8)a0.s1 * b0; - c2 += (float8)a0.s2 * b0; - c3 += (float8)a0.s3 * b0; - } - - for(; src_addr_b < src_end_addr_b; src_addr_a += 4 * MULT_INTERLEAVE4X4_HEIGHT, src_addr_b += 8 * MULT_TRANSPOSE1XW_WIDTH) - { - // Load values from matrix A (interleaved) and matrix B (transposed) - float4 a0 = convert_float4(vload4(0, src_addr_a)); - float8 b0 = convert_float8(vload8(0, src_addr_b)); - - c0 += (float8)a0.s0 * b0; - c1 += (float8)a0.s1 * b0; - c2 += (float8)a0.s2 * b0; - c3 += (float8)a0.s3 * b0; - } - - // Compute destination address - Image dst = CONVERT_TO_IMAGE_STRUCT(dst); - - // Compute dst address - __global uchar *dst_addr = offset(&dst, 0, 0); - - uint4 zout = 0; - -#if defined(REINTERPRET_OUTPUT_AS_3D) - // Since we store a 2D output tile in a 3D tensor, we need to check when the plane changes across the z dimension - // in order to take into account the presence of possible cross plane paddings - // - // | | - // | plane0 | - // | | - // |__________________| - // |******************| - // | cross_plane_pad | - // |******************| - // | | - // | plane1 | - // | | - // |__________________| - - // The plane (zout) is calculated dividing M (get_global_id(1) * 4) by HEIGHT_GEMM3D - zout = ((uint4)(0, 1, 2, 3) + (uint4)(get_global_id(1) * 4)) / (uint4)HEIGHT_GEMM3D; - zout = min(DEPTH_GEMM3D - 1, zout); - - // Add offset due to the cross plane paddings - zout *= (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(4, float, c, ALPHA); -#endif // defined(ALPHA) - -#if defined(BETA) - REPEAT_VAR_INIT_TO_CONST(4, uint, zero, 0); - -#if defined(BROADCAST_BIAS) - __global uchar *src2_addr = src2_ptr + src2_offset_first_element_in_bytes + (get_global_id(0) * (uint)8 * sizeof(half)); - - LOAD_BLOCK(1, 8, half, bias, src2_addr, 0, src2_stride_y, zero); - - float8 bias_f0 = convert_float8(bias0); - -#ifndef UNIT_BETA - SCALE_BLOCK(1, float, bias_f, BETA); -#endif // UNIT_BIAS - - // c = c + bias[broadcasted] - ADD_BLOCK_BROADCAST(4, c, bias_f0); - -#else // defined(BROADCAST_BIAS) - __global uchar *src2_addr = src2_ptr + src2_offset_first_element_in_bytes + (get_global_id(0) * (uint)8 * sizeof(half)) + (get_global_id(1) * (uint)4 * src2_stride_y) + get_global_id( - 2) * src2_stride_z; - - LOAD_BLOCK(4, 8, half, bias, src2_addr, 0, src2_stride_y, zero); - - float8 bias_f0 = convert_float8(bias0); - float8 bias_f1 = convert_float8(bias1); - float8 bias_f2 = convert_float8(bias2); - float8 bias_f3 = convert_float8(bias3); - -#ifndef UNIT_BETA - SCALE_BLOCK(4, float, bias_f, BETA); -#endif // UNIT_BIAS - - // c = c + bias - ADD_BLOCK(4, c, bias_f); - -#endif // defined(BROADCAST_BIAS) -#endif // defined(BETA) - - half8 c_h0 = convert_half8(c0); - half8 c_h1 = convert_half8(c1); - half8 c_h2 = convert_half8(c2); - half8 c_h3 = convert_half8(c3); - -#if defined(ACTIVATION_TYPE) - ACTIVATION_BLOCK(4, ACTIVATION_TYPE, half, c_h, A_VAL, B_VAL); -#endif // defined(ACTIVATION_TYPE) - - // Store 4x8 block - vstore8(c_h0, 0, (__global half *)(dst_addr + 0 * dst_stride_y + zout.s0)); - vstore8(c_h1, 0, (__global half *)(dst_addr + 1 * dst_stride_y + zout.s1)); - vstore8(c_h2, 0, (__global half *)(dst_addr + 2 * dst_stride_y + zout.s2)); - vstore8(c_h3, 0, (__global half *)(dst_addr + 3 * dst_stride_y + zout.s3)); -} - -/** This OpenCL kernel optimized for Bifrost architectures computes the matrix multiplication between matrix A reshaped (src0) and matrix B reshaped (src1) - * - * @note The number of columns of matrix B and the optional alpha's value need to be passed at compile time using -DCOLS_B and -DALPHA - * @note The multiplication factor for the transposition width (mult_transpose1xW_width) must be passed at compile time using -DMULT_TRANSPOSE1XW_WIDTH (e.g. -DMULT_TRANSPOSE1XW_WIDTH=2) - * @note The multiplication factor for the height of the 4x4 interleaved block must be passed at compile time using -DMULT_INTERLEAVE4X4_HEIGHT (e.g. -DMULT_INTERLEAVE4X4_HEIGHT=2) - * @note In case the matrix B has 3 dimensions and the matrix A more than 3, in order to avoid out-of-bounds reads, the number of channels of matrix B must be passed at compile time using MATRIX_B_DEPTH (e.g. -DMATRIX_B_DEPTH=16) - * This case can happen when GEMM is used to perform the element-wise multiplication through a batched matrix multiplication (2D Winograd) and we have multiple inputs (e.g. a = [K, M, 16, Batches], b = [N, K, 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 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 matrix A NOT reshaped - * - * @param[in] src0_ptr Pointer to the source matrix. Supported data types: F16 - * @param[in] src0_stride_x Stride of the source matrix in X dimension (in bytes) - * @param[in] src0_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src0_stride_y Stride of the source matrix in Y dimension (in bytes) - * @param[in] src0_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src0_offset_first_element_in_bytes The offset of the first element in the source matrix - * @param[in] src1_ptr Pointer to the source matrix. Supported data types: same as @p src0_ptr - * @param[in] src1_stride_x Stride of the source matrix in X dimension (in bytes) - * @param[in] src1_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src1_stride_y Stride of the source matrix in Y dimension (in bytes) - * @param[in] src1_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src1_offset_first_element_in_bytes The offset of the first element in the source matrix - * @param[in] src2_ptr (Optional) Pointer to the bias matrix. Supported data type: same as @p lhs_ptr - * @param[in] src2_stride_x (Optional) Stride of the bias matrix in X dimension (in bytes) - * @param[in] src2_step_x (Optional) src2_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src2_stride_y (Optional) Stride of the bias matrix in Y dimension (in bytes) - * @param[in] src2_step_y (Optional) src2_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src2_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 types: same as @p src0_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] src0_stride_z Stride of the source matrix in Z dimension (in bytes) - * @param[in] src1_stride_z Stride of the source matrix in Z dimension (in bytes) - * @param[in] src2_stride_z (Optional) Stride of the bias matrix in Z dimension (in bytes) - * @param[in] cross_plane_pad (Optional) Bottom paddings in unit of elements (only if defined REINTERPRET_OUTPUT_AS_3D) - */ -__kernel void gemm_mm_interleaved_transposed_f16_bifrost(IMAGE_DECLARATION(src0), - IMAGE_DECLARATION(src1), -#if defined(BETA) - IMAGE_DECLARATION(src2), -#endif // defined(BETA) - IMAGE_DECLARATION(dst), - uint src0_stride_z, - uint src1_stride_z, -#if defined(BETA) - uint src2_stride_z, -#endif //defined(BETA) - uint dst_stride_z -#if defined(REINTERPRET_OUTPUT_AS_3D) - , - uint cross_plane_pad -#endif // REINTERPRET_OUTPUT_AS_3D - ) -{ - int x = get_global_id(0) / MULT_TRANSPOSE1XW_WIDTH; - int y = get_global_id(1) / MULT_INTERLEAVE4X4_HEIGHT; - int z = get_global_id(2); - - // Offset - const int offset_row_a = (get_global_id(1) % MULT_INTERLEAVE4X4_HEIGHT) * 4; - const int offset_row_b = (get_global_id(0) % MULT_TRANSPOSE1XW_WIDTH) * 8; - - // src_addr_a = address of matrix A - // src_addr_b = address of matrix B - int src0_addr_in_bytes = z * src0_stride_z + y * src0_stride_y + src0_offset_first_element_in_bytes; - int src1_addr_in_bytes = x * src1_stride_y + src1_offset_first_element_in_bytes; - -#if defined(MATRIX_B_DEPTH) - // Do not slide matrix B if the matrix B has 3 dimensions and matrix A more than 3 - src1_addr_in_bytes += (z % MATRIX_B_DEPTH) * src1_stride_z; -#else // defined(MATRIX_B_DEPTH) - src1_addr_in_bytes += z * src1_stride_z; -#endif // defined(MATRIX_B_DEPTH) - - __global half *src_addr_a = (__global half *)(src0_ptr + src0_addr_in_bytes); - __global half *src_addr_b = (__global half *)(src1_ptr + src1_addr_in_bytes); - - // Compute end row address for matrix B - __global half *src_end_addr_b = src_addr_b + COLS_B; - - src_addr_a += offset_row_a; - src_addr_b += offset_row_b; - - // Reset accumulators - half8 c0 = 0.0f; - half8 c1 = 0.0f; - half8 c2 = 0.0f; - half8 c3 = 0.0f; - -#define COLS_MTX_B (COLS_B / (8 * MULT_TRANSPOSE1XW_WIDTH)) - - int i = 0; - for(; i <= (int)(COLS_MTX_B - 4); i += 4) - { -#if MULT_INTERLEAVE4X4_HEIGHT == 1 - // Load values from matrix A (interleaved) and matrix B (transposed) - half8 a0 = vload8(0, src_addr_a); - half8 b0 = vload8(0, src_addr_b); - - src_addr_a += 8 * MULT_INTERLEAVE4X4_HEIGHT; - src_addr_b += 8 * MULT_TRANSPOSE1XW_WIDTH; - - c0 = fma((half8)a0.s0, b0, c0); - c1 = fma((half8)a0.s1, b0, c1); - c2 = fma((half8)a0.s2, b0, c2); - c3 = fma((half8)a0.s3, b0, c3); - - // Load values from matrix B (transposed) - b0 = vload8(0, src_addr_b); - - src_addr_b += 8 * MULT_TRANSPOSE1XW_WIDTH; - - c0 = fma((half8)a0.s4, b0, c0); - c1 = fma((half8)a0.s5, b0, c1); - c2 = fma((half8)a0.s6, b0, c2); - c3 = fma((half8)a0.s7, b0, c3); - - // Load values from matrix A (interleaved) and matrix B (transposed) - a0 = vload8(0, src_addr_a); - b0 = vload8(0, src_addr_b); - - src_addr_a += 8 * MULT_INTERLEAVE4X4_HEIGHT; - src_addr_b += 8 * MULT_TRANSPOSE1XW_WIDTH; - - c0 = fma((half8)a0.s0, b0, c0); - c1 = fma((half8)a0.s1, b0, c1); - c2 = fma((half8)a0.s2, b0, c2); - c3 = fma((half8)a0.s3, b0, c3); - - // Load values from matrix B (transposed) - b0 = vload8(0, src_addr_b); - - src_addr_b += 8 * MULT_TRANSPOSE1XW_WIDTH; - - c0 = fma((half8)a0.s4, b0, c0); - c1 = fma((half8)a0.s5, b0, c1); - c2 = fma((half8)a0.s6, b0, c2); - c3 = fma((half8)a0.s7, b0, c3); -#else // MULT_INTERLEAVE4X4_HEIGHT == 1 - // Load values from matrix A (interleaved) and matrix B (transposed) - half4 a0 = vload4(0, src_addr_a); - half8 b0 = vload8(0, src_addr_b); - - src_addr_a += 4 * MULT_INTERLEAVE4X4_HEIGHT; - src_addr_b += 8 * MULT_TRANSPOSE1XW_WIDTH; - - c0 = fma((half8)a0.s0, b0, c0); - c1 = fma((half8)a0.s1, b0, c1); - c2 = fma((half8)a0.s2, b0, c2); - c3 = fma((half8)a0.s3, b0, c3); - - // Load values from matrix A (interleaved) and matrix B (transposed) - a0 = vload4(0, src_addr_a); - b0 = vload8(0, src_addr_b); - - src_addr_a += 4 * MULT_INTERLEAVE4X4_HEIGHT; - src_addr_b += 8 * MULT_TRANSPOSE1XW_WIDTH; - - c0 = fma((half8)a0.s0, b0, c0); - c1 = fma((half8)a0.s1, b0, c1); - c2 = fma((half8)a0.s2, b0, c2); - c3 = fma((half8)a0.s3, b0, c3); - - // Load values from matrix A (interleaved) and matrix B (transposed) - a0 = vload4(0, src_addr_a); - b0 = vload8(0, src_addr_b); - - src_addr_a += 4 * MULT_INTERLEAVE4X4_HEIGHT; - src_addr_b += 8 * MULT_TRANSPOSE1XW_WIDTH; - - c0 = fma((half8)a0.s0, b0, c0); - c1 = fma((half8)a0.s1, b0, c1); - c2 = fma((half8)a0.s2, b0, c2); - c3 = fma((half8)a0.s3, b0, c3); - - // Load values from matrix A (interleaved) and matrix B (transposed) - a0 = vload4(0, src_addr_a); - b0 = vload8(0, src_addr_b); - - src_addr_a += 4 * MULT_INTERLEAVE4X4_HEIGHT; - src_addr_b += 8 * MULT_TRANSPOSE1XW_WIDTH; - - c0 = fma((half8)a0.s0, b0, c0); - c1 = fma((half8)a0.s1, b0, c1); - c2 = fma((half8)a0.s2, b0, c2); - c3 = fma((half8)a0.s3, b0, c3); -#endif // MULT_INTERLEAVE4X4_HEIGHT == 1 - } - - for(; i < (int)(COLS_MTX_B); ++i) - { - // Load values from matrix A (interleaved) and matrix B (transposed) - half4 a0 = vload4(0, src_addr_a); - half8 b0 = vload8(0, src_addr_b); - - src_addr_a += 4 * MULT_INTERLEAVE4X4_HEIGHT; - src_addr_b += 8 * MULT_TRANSPOSE1XW_WIDTH; - - c0 = fma((half8)a0.s0, b0, c0); - c1 = fma((half8)a0.s1, b0, c1); - c2 = fma((half8)a0.s2, b0, c2); - c3 = fma((half8)a0.s3, b0, c3); - } - - // Compute destination address - Image dst = CONVERT_TO_IMAGE_STRUCT(dst); - - // Compute dst address - __global uchar *dst_addr = offset(&dst, 0, 0); - - uint4 zout = 0; - -#if defined(REINTERPRET_OUTPUT_AS_3D) - // Since we store a 2D output tile in a 3D tensor, we need to check when the plane changes across the z dimension - // in order to take into account the presence of possible cross plane paddings - // - // | | - // | plane0 | - // | | - // |__________________| - // |******************| - // | cross_plane_pad | - // |******************| - // | | - // | plane1 | - // | | - // |__________________| - - // The plane (zout) is calculated dividing M (get_global_id(1) * 4) by HEIGHT_GEMM3D - zout = ((uint4)(0, 1, 2, 3) + (uint4)(get_global_id(1) * 4)) / (uint4)HEIGHT_GEMM3D; - zout = min(DEPTH_GEMM3D - 1, zout); - - // Add offset due to the cross plane paddings - zout *= (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(4, half, c, ALPHA); -#endif // defined(ALPHA) - - // Add beta*bias -#if defined(BETA) - REPEAT_VAR_INIT_TO_CONST(4, uint, zero, 0); - -#if defined(BROADCAST_BIAS) - __global uchar *src2_addr = src2_ptr + src2_offset_first_element_in_bytes + (get_global_id(0) * (uint)8 * sizeof(half)); - - LOAD_BLOCK(1, 8, half, bias, src2_addr, 0, src2_stride_y, zero); - -#ifndef UNIT_BETA - SCALE_BLOCK(1, half, bias, BETA); -#endif // UNIT_BIAS - - // c = c + bias[broadcasted] - ADD_BLOCK_BROADCAST(4, c, bias0); - -#else // defined(BROADCAST_BIAS) - __global uchar *src2_addr = src2_ptr + src2_offset_first_element_in_bytes + (get_global_id(0) * (uint)8 * sizeof(half)) + (get_global_id(1) * (uint)4 * src2_stride_y) + get_global_id( - 2) * src2_stride_z; - - LOAD_BLOCK(4, 8, half, bias, src2_addr, 0, src2_stride_y, zero); - -#ifndef UNIT_BETA - SCALE_BLOCK(4, half, bias, BETA); -#endif // UNIT_BIAS - - // c = c + bias - ADD_BLOCK(4, c, bias); - -#endif // defined(BROADCAST_BIAS) -#endif // defined(BETA) - -#if defined(ACTIVATION_TYPE) - ACTIVATION_BLOCK(4, ACTIVATION_TYPE, half, c, A_VAL, B_VAL); -#endif // defined(ACTIVATION_TYPE) - - // Store 4x8 block - vstore8(c0, 0, (__global half *)(dst_addr + 0 * dst_stride_y + zout.s0)); - vstore8(c1, 0, (__global half *)(dst_addr + 1 * dst_stride_y + zout.s1)); - vstore8(c2, 0, (__global half *)(dst_addr + 2 * dst_stride_y + zout.s2)); - vstore8(c3, 0, (__global half *)(dst_addr + 3 * dst_stride_y + zout.s3)); -} - -// Undefine local defines -#undef COLS_MTX_B - -#endif // defined(ARM_COMPUTE_OPENCL_FP16_ENABLED) - -#endif // defined(COLS_B) && defined(MULT_TRANSPOSE1XW_WIDTH) && defined(MULT_INTERLEAVE4X4_HEIGHT) - -#if defined(COLS_A) && defined(NUM_ELEMS_PROCESSED_PER_THREAD_X) && (NUM_ELEMS_PROCESSED_PER_THREAD_Y) -#if defined(DATA_TYPE) -#define VECTOR_TYPE VEC_DATA_TYPE(DATA_TYPE, NUM_ELEMS_PROCESSED_PER_THREAD_X) -/** This OpenCL kernel computes the matrix by matrix multiplication between the matrix A (src0) and matrix B (src1) in case both matrices have not been reshaped. - * - * @note This OpenCL kernel works with floating point data types (F16/F32) - * @note The floating point data type must be passed at compile time using -DDATA_TYPE (e.g. -DDATA_TYPE=float) - * @note The number of elements processed along the x and y directions must be passed at compile time using -DNUM_ELEMS_PROCESSED_PER_THREAD_X and -DNUM_ELEMS_PROCESSED_PER_THREAD_Y - * @note The number of matrix A columns and the optional alpha's value need to be passed at compile time using -DCOLS_A and -DALPHA - * @note In case the matrix B has 3 dimensions and the matrix A more than 3, in order to avoid out-of-bounds reads, the number of channels of matrix B must be passed at compile time using MATRIX_B_DEPTH (e.g. -DMATRIX_B_DEPTH=16) - * This case can happen when GEMM is used to perform the element-wise multiplication through a batched matrix multiplication (2D Winograd) and we have multiple inputs (e.g. a = [K, M, 16, Batches], b = [N, K, 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 matrix A NOT reshaped - * - * @param[in] src0_ptr Pointer to the source matrix. Supported data types: F16/F32 - * @param[in] src0_stride_x Stride of the source matrix in X dimension (in bytes) - * @param[in] src0_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src0_stride_y Stride of the source matrix in Y dimension (in bytes) - * @param[in] src0_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src0_offset_first_element_in_bytes The offset of the first element in the source matrix - * @param[in] src1_ptr Pointer to the source matrix. Supported data types: same as @p src0_ptr - * @param[in] src1_stride_x Stride of the source matrix in X dimension (in bytes) - * @param[in] src1_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src1_stride_y Stride of the source matrix in Y dimension (in bytes) - * @param[in] src1_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src1_offset_first_element_in_bytes The offset of the first element in the source matrix - * @param[in] src2_ptr (Optional) Pointer to the bias matrix. Supported data type: same as @p lhs_ptr - * @param[in] src2_stride_x (Optional) Stride of the bias matrix in X dimension (in bytes) - * @param[in] src2_step_x (Optional) src2_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src2_stride_y (Optional) Stride of the bias matrix in Y dimension (in bytes) - * @param[in] src2_step_y (Optional) src2_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src2_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 types: same as @p src0_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_offset_first_element_in_bytes The offset of the first element in the destination matrix - * @param[in] src0_stride_z Stride of the source matrix in Z dimension (in bytes) - * @param[in] src1_stride_z Stride of the source matrix in Z dimension (in bytes) - * @param[in] src2_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] src_cross_plane_pad (Optional) Bottom paddings in unit of elements for the input tensor (only if defined REINTERPRET_INPUT_AS_3D) - * @param[in] dst_cross_plane_pad (Optional) Bottom paddings in unit of elements for the output tensor (only if defined REINTERPRET_OUTPUT_AS_3D) - */ -__kernel void gemm_mm_floating_point(IMAGE_DECLARATION(src0), - IMAGE_DECLARATION(src1), -#if defined(BETA) - IMAGE_DECLARATION(src2), -#endif // defined(BETA) - IMAGE_DECLARATION(dst), - uint src0_stride_z, - uint src1_stride_z, -#if defined(BETA) - uint src2_stride_z, -#endif //defined(BETA) - uint dst_stride_z -#if defined(REINTERPRET_INPUT_AS_3D) - , - uint src_cross_plane_pad -#endif // REINTERPRET_INPUT_AS_3D -#if defined(REINTERPRET_OUTPUT_AS_3D) - , - uint dst_cross_plane_pad -#endif // REINTERPRET_OUTPUT_AS_3D - ) -{ - int idx = get_global_id(0) * NUM_ELEMS_PROCESSED_PER_THREAD_X; - - // Compute starting address for matrix A and Matrix B - int2 src_addr = ((int2)(src0_offset_first_element_in_bytes, src1_offset_first_element_in_bytes)); - - // Update address for the matrix A - src_addr.s0 += get_global_id(1) * src0_stride_y * NUM_ELEMS_PROCESSED_PER_THREAD_Y; - - // Update address for the matrix B - src_addr.s1 += idx * sizeof(DATA_TYPE); - -#if defined(REINTERPRET_INPUT_AS_3D) - // Since we load a 2D input tile from a 3D tensor, we need to check when the plane changes across the z dimension - // in order to take into account the presence of possible cross plane paddings - // - // | | - // | plane0 | - // | | - // |__________________| - // |******************| - // | cross_plane_pad | - // |******************| - // | | - // | plane1 | - // | | - // |__________________| - - // The plane (zin) is calculated dividing M (get_global_id(1) * NUM_ELEMS_PROCESSED_PER_THREAD_Y) by HEIGHT_GEMM3D - uint4 zin = ((uint4)(0, 1, 2, 3) + (uint4)(get_global_id(1) * NUM_ELEMS_PROCESSED_PER_THREAD_Y)) / (uint4)HEIGHT_GEMM3D; - zin = min(DEPTH_GEMM3D - 1, zin); - - // Add offset due to the cross plane paddings - zin *= (src_cross_plane_pad * src0_stride_y); - - // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we - // multiply src0_stride_z by DEPTH_GEMM3D - src_addr.s0 += get_global_id(2) * src0_stride_z * DEPTH_GEMM3D; - -#else // defined(REINTERPRET_INPUT_AS_3D) - - // Add offset for batched GEMM - src_addr.s0 += get_global_id(2) * src0_stride_z; - -#endif // defined(REINTERPRET_INPUT_AS_3D) - -#if defined(MATRIX_B_DEPTH) - // Do not slide matrix B if the matrix B has 3 dimensions and matrix A more than 3 - src_addr.s1 += (get_global_id(2) % MATRIX_B_DEPTH) * src1_stride_z; -#else // defined(MATRIX_B_DEPTH) - src_addr.s1 += get_global_id(2) * src1_stride_z; -#endif // defined(MATRIX_B_DEPTH) - - int end_row_vec_a = src_addr.s0 + (COLS_A * sizeof(DATA_TYPE)); - - VECTOR_TYPE acc0 = 0.0f; -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - VECTOR_TYPE acc1 = 0.0f; -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - VECTOR_TYPE acc2 = 0.0f; -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - VECTOR_TYPE acc3 = 0.0f; -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - - for(; src_addr.s0 <= (end_row_vec_a - 2 * (int)sizeof(DATA_TYPE)); src_addr += (int2)(2 * sizeof(DATA_TYPE), 2 * src1_stride_y)) - { -#if defined(REINTERPRET_INPUT_AS_3D) - // Load values from matrix A - LOAD_BLOCK(NUM_ELEMS_PROCESSED_PER_THREAD_Y, 2, DATA_TYPE, a, src0_ptr, src_addr.s0, src0_stride_y, zin.s); -#else // defined(REINTERPRET_INPUT_AS_3D) - // Load values from matrix A - VEC_DATA_TYPE(DATA_TYPE, 2) - a0 = vload2(0, (__global DATA_TYPE *)(src0_ptr + src_addr.s0 + 0 * src0_stride_y)); -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - VEC_DATA_TYPE(DATA_TYPE, 2) - a1 = vload2(0, (__global DATA_TYPE *)(src0_ptr + src_addr.s0 + 1 * src0_stride_y)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - VEC_DATA_TYPE(DATA_TYPE, 2) - a2 = vload2(0, (__global DATA_TYPE *)(src0_ptr + src_addr.s0 + 2 * src0_stride_y)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - VEC_DATA_TYPE(DATA_TYPE, 2) - a3 = vload2(0, (__global DATA_TYPE *)(src0_ptr + src_addr.s0 + 3 * src0_stride_y)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 -#endif // defined(REINTERPRET_INPUT_AS_3D) - - // Load values from matrix B - VECTOR_TYPE b0 = VLOAD(NUM_ELEMS_PROCESSED_PER_THREAD_X)(0, (__global DATA_TYPE *)(src1_ptr + src_addr.s1)); - VECTOR_TYPE b1 = VLOAD(NUM_ELEMS_PROCESSED_PER_THREAD_X)(0, (__global DATA_TYPE *)(src1_ptr + src_addr.s1 + src1_stride_y)); - - // Accumulate - acc0 += b0 * (VECTOR_TYPE)a0.s0; - acc0 += b1 * (VECTOR_TYPE)a0.s1; -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - acc1 += b0 * (VECTOR_TYPE)a1.s0; - acc1 += b1 * (VECTOR_TYPE)a1.s1; -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - acc2 += b0 * (VECTOR_TYPE)a2.s0; - acc2 += b1 * (VECTOR_TYPE)a2.s1; -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - acc3 += b0 * (VECTOR_TYPE)a3.s0; - acc3 += b1 * (VECTOR_TYPE)a3.s1; -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - } - - for(; src_addr.s0 < end_row_vec_a; src_addr += (int2)(sizeof(DATA_TYPE), src1_stride_y)) - { -#if defined(REINTERPRET_INPUT_AS_3D) - // Load values from matrix A - DATA_TYPE a0 = *((__global DATA_TYPE *)(src0_ptr + src_addr.s0 + 0 * src0_stride_y + zin.s0)); -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - DATA_TYPE a1 = *((__global DATA_TYPE *)(src0_ptr + src_addr.s0 + 1 * src0_stride_y + zin.s1)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - DATA_TYPE a2 = *((__global DATA_TYPE *)(src0_ptr + src_addr.s0 + 2 * src0_stride_y + zin.s2)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - DATA_TYPE a3 = *((__global DATA_TYPE *)(src0_ptr + src_addr.s0 + 3 * src0_stride_y + zin.s3)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 -#else // defined(REINTERPRET_INPUT_AS_3D) - // Load values from matrix A - DATA_TYPE a0 = *((__global DATA_TYPE *)(src0_ptr + src_addr.s0 + 0 * src0_stride_y)); -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - DATA_TYPE a1 = *((__global DATA_TYPE *)(src0_ptr + src_addr.s0 + 1 * src0_stride_y)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - DATA_TYPE a2 = *((__global DATA_TYPE *)(src0_ptr + src_addr.s0 + 2 * src0_stride_y)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - DATA_TYPE a3 = *((__global DATA_TYPE *)(src0_ptr + src_addr.s0 + 3 * src0_stride_y)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 -#endif // defined(REINTERPRET_INPUT_AS_3D) - - // Load values from matrix B - VECTOR_TYPE b0 = VLOAD(NUM_ELEMS_PROCESSED_PER_THREAD_X)(0, (__global DATA_TYPE *)(src1_ptr + src_addr.s1)); - - // Accumulate - acc0 += b0 * (VECTOR_TYPE)a0; -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - acc1 += b0 * (VECTOR_TYPE)a1; -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - acc2 += b0 * (VECTOR_TYPE)a2; -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - acc3 += b0 * (VECTOR_TYPE)a3; -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - } - - int z = get_global_id(2); - - // Compute destination address - Image dst = CONVERT_TO_IMAGE_STRUCT(dst); - - // Compute dst address - __global uchar *dst_addr = offset(&dst, 0, 0); - - uint4 zout = 0; - -#if defined(REINTERPRET_OUTPUT_AS_3D) - - // Since we store a 2D output tile in a 3D tensor, we need to check when the plane changes across the z dimension - // in order to take into account the presence of possible cross plane paddings - // - // | | - // | plane0 | - // | | - // |__________________| - // |******************| - // | cross_plane_pad | - // |******************| - // | | - // | plane1 | - // | | - // |__________________| - - // The plane (zout) is calculated dividing M (get_global_id(1) * NUM_ELEMS_PROCESSED_PER_THREAD_Y) by HEIGHT_GEMM3D - zout = ((uint4)(0, 1, 2, 3) + (uint4)(get_global_id(1) * NUM_ELEMS_PROCESSED_PER_THREAD_Y)) / (uint4)HEIGHT_GEMM3D; - zout = min(DEPTH_GEMM3D - 1, zout); - - // Add offset due to the cross plane paddings - zout *= (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(NUM_ELEMS_PROCESSED_PER_THREAD_Y, DATA_TYPE, acc, ALPHA); -#endif // defined(ALPHA) - - // Add beta*bias -#if defined(BETA) - REPEAT_VAR_INIT_TO_CONST(NUM_ELEMS_PROCESSED_PER_THREAD_Y, uint, zero, 0); - -#if defined(BROADCAST_BIAS) - __global uchar *src2_addr = src2_ptr + src2_offset_first_element_in_bytes + (get_global_id(0) * (uint)NUM_ELEMS_PROCESSED_PER_THREAD_X * sizeof(DATA_TYPE)); - - LOAD_BLOCK(1, NUM_ELEMS_PROCESSED_PER_THREAD_X, DATA_TYPE, bias, src2_addr, 0, src2_stride_y, zero); - -#ifndef UNIT_BETA - SCALE_BLOCK(1, DATA_TYPE, bias, BETA); -#endif // UNIT_BIAS - - // c = c + bias[broadcasted] - ADD_BLOCK_BROADCAST(NUM_ELEMS_PROCESSED_PER_THREAD_Y, acc, bias0); - -#else // defined(BROADCAST_BIAS) - __global uchar *src2_addr = src2_ptr + src2_offset_first_element_in_bytes + (get_global_id(0) * (uint)NUM_ELEMS_PROCESSED_PER_THREAD_X * sizeof(DATA_TYPE)) + (get_global_id(1) * - (uint)NUM_ELEMS_PROCESSED_PER_THREAD_Y * src2_stride_y) + get_global_id(2) * src2_stride_z; - - LOAD_BLOCK(NUM_ELEMS_PROCESSED_PER_THREAD_Y, NUM_ELEMS_PROCESSED_PER_THREAD_X, DATA_TYPE, bias, src2_addr, 0, src2_stride_y, zero); - -#ifndef UNIT_BETA - SCALE_BLOCK(NUM_ELEMS_PROCESSED_PER_THREAD_Y, DATA_TYPE, bias, BETA); -#endif // UNIT_BIAS - - // c = c + bias - ADD_BLOCK(NUM_ELEMS_PROCESSED_PER_THREAD_Y, acc, bias); - -#endif // defined(BROADCAST_BIAS) -#endif // defined(BETA) - -#if defined(ACTIVATION_TYPE) - ACTIVATION_BLOCK(NUM_ELEMS_PROCESSED_PER_THREAD_Y, ACTIVATION_TYPE, DATA_TYPE, acc, A_VAL, B_VAL); -#endif // defined(ACTIVATION_TYPE) - - // Store output block - STORE_BLOCK(NUM_ELEMS_PROCESSED_PER_THREAD_Y, NUM_ELEMS_PROCESSED_PER_THREAD_X, DATA_TYPE, acc, dst_addr, dst_stride_y, zout.s); -} -#endif // defined(DATA_TYPE) - -/** This OpenCL kernel computes the matrix by matrix multiplication between the matrix A (src0) and matrix B (src1) in case both matrices have not been reshaped - * - * @note This OpenCL kernel works with the 32-bit floating point data type (float) and uses the fma units. - * @note The number of elements processed along the x and y directions must be passed at compile time using -DNUM_ELEMS_PROCESSED_PER_THREAD_X and -DNUM_ELEMS_PROCESSED_PER_THREAD_Y. - * This kernel optimally uses -DNUM_ELEMS_PROCESSED_PER_THREAD_X=4. - * @note The number of matrix A columns must be passed at compile time using -DCOLS_A. - * @note The optional value of scalar alpha is passed at compile time using -DALPHA=alpha - * @note In case the matrix B has 3 dimensions and the matrix A more than 3, in order to avoid out-of-bounds reads, the number of channels of matrix B must be passed at compile time using MATRIX_B_DEPTH (e.g. -DMATRIX_B_DEPTH=16) - * This case can happen when GEMM is used to perform the element-wise multiplication through a batched matrix multiplication (2D Winograd) and we have multiple inputs (e.g. a = [K, M, 16, Batches], b = [N, K, 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 matrix A NOT reshaped - * - * @param[in] src0_ptr Pointer to the source matrix. Supported data types: F32 - * @param[in] src0_stride_x Stride of the source matrix in X dimension (in bytes) - * @param[in] src0_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src0_stride_y Stride of the source matrix in Y dimension (in bytes) - * @param[in] src0_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src0_offset_first_element_in_bytes The offset of the first element in the source matrix - * @param[in] src1_ptr Pointer to the source matrix. Supported data types: same as @p src0_ptr - * @param[in] src1_stride_x Stride of the source matrix in X dimension (in bytes) - * @param[in] src1_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src1_stride_y Stride of the source matrix in Y dimension (in bytes) - * @param[in] src1_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src1_offset_first_element_in_bytes The offset of the first element in the source matrix - * @param[in] src2_ptr (Optional) Pointer to the bias matrix. Supported data type: same as @p lhs_ptr - * @param[in] src2_stride_x (Optional) Stride of the bias matrix in X dimension (in bytes) - * @param[in] src2_step_x (Optional) src2_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src2_stride_y (Optional) Stride of the bias matrix in Y dimension (in bytes) - * @param[in] src2_step_y (Optional) src2_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src2_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 types: same as @p src0_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_offset_first_element_in_bytes The offset of the first element in the destination matrix - * @param[in] src0_stride_z Stride of the source matrix in Z dimension (in bytes) - * @param[in] src1_stride_z Stride of the source matrix in Z dimension (in bytes) - * @param[in] src2_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] src_cross_plane_pad (Optional) Bottom paddings in unit of elements for the input tensor (only if defined REINTERPRET_INPUT_AS_3D) - * @param[in] dst_cross_plane_pad (Optional) Bottom paddings in unit of elements (only if defined REINTERPRET_OUTPUT_AS_3D) - */ -__kernel void gemm_mm_floating_point_f32_bifrost(IMAGE_DECLARATION(src0), - IMAGE_DECLARATION(src1), -#if defined(BETA) - IMAGE_DECLARATION(src2), -#endif // defined(BETA) - IMAGE_DECLARATION(dst), - uint src0_stride_z, - uint src1_stride_z, -#if defined(BETA) - uint src2_stride_z, -#endif //defined(BETA) - uint dst_stride_z -#if defined(REINTERPRET_INPUT_AS_3D) - , - uint src_cross_plane_pad -#endif // REINTERPRET_INPUT_AS_3D -#if defined(REINTERPRET_OUTPUT_AS_3D) - , - uint dst_cross_plane_pad -#endif // REINTERPRET_OUTPUT_AS_3D - ) -{ - int idx = get_global_id(0) * NUM_ELEMS_PROCESSED_PER_THREAD_X; - - // Compute starting address for matrix A and matrix B - int2 src_addr = ((int2)(src0_offset_first_element_in_bytes, src1_offset_first_element_in_bytes)); - - // Update address for matrix A - src_addr.s0 += get_global_id(1) * src0_stride_y * NUM_ELEMS_PROCESSED_PER_THREAD_Y; - - // Update address for matrix B - src_addr.s1 += idx * sizeof(float); - -#if defined(REINTERPRET_INPUT_AS_3D) - // Since we load a 2D input tile from a 3D tensor, we need to check when the plane changes across the z dimension - // in order to take into account the presence of possible cross plane paddings - // - // | | - // | plane0 | - // | | - // |__________________| - // |******************| - // | cross_plane_pad | - // |******************| - // | | - // | plane1 | - // | | - // |__________________| - - // The plane (zin) is calculated dividing M (get_global_id(1) * NUM_ELEMS_PROCESSED_PER_THREAD_Y) by HEIGHT_GEMM3D - uint4 zin = ((uint4)(0, 1, 2, 3) + (uint4)(get_global_id(1) * NUM_ELEMS_PROCESSED_PER_THREAD_Y)) / (uint4)HEIGHT_GEMM3D; - zin = min(DEPTH_GEMM3D - 1, zin); - - // Add offset due to the cross plane paddings - zin *= (src_cross_plane_pad * src0_stride_y); - - // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we - // multiply src0_stride_z by DEPTH_GEMM3D - src_addr.s0 += get_global_id(2) * src0_stride_z * DEPTH_GEMM3D; - -#else // defined(REINTERPRET_INPUT_AS_3D) - - // Add offset for batched GEMM - src_addr.s0 += get_global_id(2) * src0_stride_z; - -#endif // defined(REINTERPRET_INPUT_AS_3D) - -#if defined(MATRIX_B_DEPTH) - // Do not slide matrix B if the matrix B has 3 dimensions and matrix A more than 3 - src_addr.s1 += (get_global_id(2) % MATRIX_B_DEPTH) * src1_stride_z; -#else // defined(MATRIX_B_DEPTH) - src_addr.s1 += get_global_id(2) * src1_stride_z; -#endif // defined(MATRIX_B_DEPTH) - - // Initialize accumulators - float4 acc0 = 0.0f; - -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - float4 acc1 = 0.0f; -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - float4 acc2 = 0.0f; -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - float4 acc3 = 0.0f; -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - - // A and B src indices get incremented at the same time. - int i = 0; - for(; i <= ((int)COLS_A - 4); i += 4) - { -#if defined(REINTERPRET_INPUT_AS_3D) - // Load values from matrix A and matrix B - LOAD_BLOCK(NUM_ELEMS_PROCESSED_PER_THREAD_Y, 4, float, a, src0_ptr, src_addr.s0, src0_stride_y, zin.s); -#else // defined(REINTERPRET_INPUT_AS_3D) - // Load values from matrix A and matrix B - float4 a0 = vload4(0, (__global float *)(src0_ptr + src_addr.s0 + 0 * src0_stride_y)); -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - float4 a1 = vload4(0, (__global float *)(src0_ptr + src_addr.s0 + 1 * src0_stride_y)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - float4 a2 = vload4(0, (__global float *)(src0_ptr + src_addr.s0 + 2 * src0_stride_y)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - float4 a3 = vload4(0, (__global float *)(src0_ptr + src_addr.s0 + 3 * src0_stride_y)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 -#endif // defined(REINTERPRET_INPUT_AS_3D) - - float4 b0 = vload4(0, (__global float *)(src1_ptr + src_addr.s1)); - src_addr.s1 += src1_stride_y; - - // Multiply and accumulate - acc0.s0 = fma(a0.s0, b0.s0, acc0.s0); - acc0.s1 = fma(a0.s0, b0.s1, acc0.s1); - acc0.s2 = fma(a0.s0, b0.s2, acc0.s2); - acc0.s3 = fma(a0.s0, b0.s3, acc0.s3); - -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - - acc1.s0 = fma(a1.s0, b0.s0, acc1.s0); - acc1.s1 = fma(a1.s0, b0.s1, acc1.s1); - acc1.s2 = fma(a1.s0, b0.s2, acc1.s2); - acc1.s3 = fma(a1.s0, b0.s3, acc1.s3); - -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - - acc2.s0 = fma(a2.s0, b0.s0, acc2.s0); - acc2.s1 = fma(a2.s0, b0.s1, acc2.s1); - acc2.s2 = fma(a2.s0, b0.s2, acc2.s2); - acc2.s3 = fma(a2.s0, b0.s3, acc2.s3); - -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - - acc3.s0 = fma(a3.s0, b0.s0, acc3.s0); - acc3.s1 = fma(a3.s0, b0.s1, acc3.s1); - acc3.s2 = fma(a3.s0, b0.s2, acc3.s2); - acc3.s3 = fma(a3.s0, b0.s3, acc3.s3); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - - // Load values from matrix A and matrix B - b0 = vload4(0, (__global float *)(src1_ptr + src_addr.s1)); - src_addr.s1 += src1_stride_y; - - // Multiply and accumulate - acc0.s0 = fma(a0.s1, b0.s0, acc0.s0); - acc0.s1 = fma(a0.s1, b0.s1, acc0.s1); - acc0.s2 = fma(a0.s1, b0.s2, acc0.s2); - acc0.s3 = fma(a0.s1, b0.s3, acc0.s3); - -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - - acc1.s0 = fma(a1.s1, b0.s0, acc1.s0); - acc1.s1 = fma(a1.s1, b0.s1, acc1.s1); - acc1.s2 = fma(a1.s1, b0.s2, acc1.s2); - acc1.s3 = fma(a1.s1, b0.s3, acc1.s3); - -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - - acc2.s0 = fma(a2.s1, b0.s0, acc2.s0); - acc2.s1 = fma(a2.s1, b0.s1, acc2.s1); - acc2.s2 = fma(a2.s1, b0.s2, acc2.s2); - acc2.s3 = fma(a2.s1, b0.s3, acc2.s3); - -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - - acc3.s0 = fma(a3.s1, b0.s0, acc3.s0); - acc3.s1 = fma(a3.s1, b0.s1, acc3.s1); - acc3.s2 = fma(a3.s1, b0.s2, acc3.s2); - acc3.s3 = fma(a3.s1, b0.s3, acc3.s3); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - - // Load values from matrix A and matrix B - b0 = vload4(0, (__global float *)(src1_ptr + src_addr.s1)); - src_addr.s1 += src1_stride_y; - - // Multiply and accumulate - acc0.s0 = fma(a0.s2, b0.s0, acc0.s0); - acc0.s1 = fma(a0.s2, b0.s1, acc0.s1); - acc0.s2 = fma(a0.s2, b0.s2, acc0.s2); - acc0.s3 = fma(a0.s2, b0.s3, acc0.s3); - -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - - acc1.s0 = fma(a1.s2, b0.s0, acc1.s0); - acc1.s1 = fma(a1.s2, b0.s1, acc1.s1); - acc1.s2 = fma(a1.s2, b0.s2, acc1.s2); - acc1.s3 = fma(a1.s2, b0.s3, acc1.s3); - -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - - acc2.s0 = fma(a2.s2, b0.s0, acc2.s0); - acc2.s1 = fma(a2.s2, b0.s1, acc2.s1); - acc2.s2 = fma(a2.s2, b0.s2, acc2.s2); - acc2.s3 = fma(a2.s2, b0.s3, acc2.s3); - -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - - acc3.s0 = fma(a3.s2, b0.s0, acc3.s0); - acc3.s1 = fma(a3.s2, b0.s1, acc3.s1); - acc3.s2 = fma(a3.s2, b0.s2, acc3.s2); - acc3.s3 = fma(a3.s2, b0.s3, acc3.s3); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - - // Load values from matrix A and matrix B - b0 = vload4(0, (__global float *)(src1_ptr + src_addr.s1)); - src_addr.s1 += src1_stride_y; - - // Multiply and accumulate - acc0.s0 = fma(a0.s3, b0.s0, acc0.s0); - acc0.s1 = fma(a0.s3, b0.s1, acc0.s1); - acc0.s2 = fma(a0.s3, b0.s2, acc0.s2); - acc0.s3 = fma(a0.s3, b0.s3, acc0.s3); - -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - - acc1.s0 = fma(a1.s3, b0.s0, acc1.s0); - acc1.s1 = fma(a1.s3, b0.s1, acc1.s1); - acc1.s2 = fma(a1.s3, b0.s2, acc1.s2); - acc1.s3 = fma(a1.s3, b0.s3, acc1.s3); - -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - - acc2.s0 = fma(a2.s3, b0.s0, acc2.s0); - acc2.s1 = fma(a2.s3, b0.s1, acc2.s1); - acc2.s2 = fma(a2.s3, b0.s2, acc2.s2); - acc2.s3 = fma(a2.s3, b0.s3, acc2.s3); - -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - - acc3.s0 = fma(a3.s3, b0.s0, acc3.s0); - acc3.s1 = fma(a3.s3, b0.s1, acc3.s1); - acc3.s2 = fma(a3.s3, b0.s2, acc3.s2); - acc3.s3 = fma(a3.s3, b0.s3, acc3.s3); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - - src_addr.s0 += 4 * sizeof(float); - } - - for(; i < (int)COLS_A; ++i) - { -#if defined(REINTERPRET_INPUT_AS_3D) - // Load values from matrix A - float a0 = *((__global float *)(src0_ptr + src_addr.s0 + 0 * src0_stride_y + zin.s0)); -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - float a1 = *((__global float *)(src0_ptr + src_addr.s0 + 1 * src0_stride_y + zin.s1)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - float a2 = *((__global float *)(src0_ptr + src_addr.s0 + 2 * src0_stride_y + zin.s2)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - float a3 = *((__global float *)(src0_ptr + src_addr.s0 + 3 * src0_stride_y + zin.s3)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 -#else // defined(REINTERPRET_INPUT_AS_3D) - // Load values from matrix A - float a0 = *((__global float *)(src0_ptr + src_addr.s0 + 0 * src0_stride_y)); -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - float a1 = *((__global float *)(src0_ptr + src_addr.s0 + 1 * src0_stride_y)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - float a2 = *((__global float *)(src0_ptr + src_addr.s0 + 2 * src0_stride_y)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - float a3 = *((__global float *)(src0_ptr + src_addr.s0 + 3 * src0_stride_y)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 -#endif // defined(REINTERPRET_INPUT_AS_3D) - - // Load values from matrix B - float4 b0 = vload4(0, (__global float *)(src1_ptr + src_addr.s1)); - src_addr.s1 += src1_stride_y; - - // Multiply and accumulate - acc0.s0 = fma(a0, b0.s0, acc0.s0); - acc0.s1 = fma(a0, b0.s1, acc0.s1); - acc0.s2 = fma(a0, b0.s2, acc0.s2); - acc0.s3 = fma(a0, b0.s3, acc0.s3); -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - acc1.s0 = fma(a1, b0.s0, acc1.s0); - acc1.s1 = fma(a1, b0.s1, acc1.s1); - acc1.s2 = fma(a1, b0.s2, acc1.s2); - acc1.s3 = fma(a1, b0.s3, acc1.s3); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - acc2.s0 = fma(a2, b0.s0, acc2.s0); - acc2.s1 = fma(a2, b0.s1, acc2.s1); - acc2.s2 = fma(a2, b0.s2, acc2.s2); - acc2.s3 = fma(a2, b0.s3, acc2.s3); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - acc3.s0 = fma(a3, b0.s0, acc3.s0); - acc3.s1 = fma(a3, b0.s1, acc3.s1); - acc3.s2 = fma(a3, b0.s2, acc3.s2); - acc3.s3 = fma(a3, b0.s3, acc3.s3); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - - src_addr.s0 += sizeof(float); - } - - int z = get_global_id(2); - - // Compute destination address - Image dst = CONVERT_TO_IMAGE_STRUCT(dst); - - // Compute dst address - __global uchar *dst_addr = offset(&dst, 0, 0); - - uint4 zout = 0; - -#if defined(REINTERPRET_OUTPUT_AS_3D) - // Since we store a 2D output tile in a 3D tensor, we need to check when the plane changes across the z dimension - // in order to take into account the presence of possible cross plane paddings - // - // | | - // | plane0 | - // | | - // |__________________| - // |******************| - // | cross_plane_pad | - // |******************| - // | | - // | plane1 | - // | | - // |__________________| - - // The plane (zout) is calculated dividing M (get_global_id(1) * NUM_ELEMS_PROCESSED_PER_THREAD_Y) by HEIGHT_GEMM3D - zout = ((uint4)(0, 1, 2, 3) + (uint4)(get_global_id(1) * NUM_ELEMS_PROCESSED_PER_THREAD_Y)) / (uint4)HEIGHT_GEMM3D; - zout = min(DEPTH_GEMM3D - 1, zout); - - // Add offset due to the cross plane paddings - zout *= (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(NUM_ELEMS_PROCESSED_PER_THREAD_Y, float, acc, ALPHA); -#endif // defined(ALPHA) - - // Add beta*bias -#if defined(BETA) - REPEAT_VAR_INIT_TO_CONST(NUM_ELEMS_PROCESSED_PER_THREAD_Y, uint, zero, 0); - -#if defined(BROADCAST_BIAS) - __global uchar *src2_addr = src2_ptr + src2_offset_first_element_in_bytes + (get_global_id(0) * (uint)4 * sizeof(float)); - - LOAD_BLOCK(1, 4, float, bias, src2_addr, 0, src2_stride_y, zero); - -#ifndef UNIT_BETA - SCALE_BLOCK(1, float, bias, BETA); -#endif // UNIT_BIAS - - // acc = acc + bias[broadcasted] - ADD_BLOCK_BROADCAST(NUM_ELEMS_PROCESSED_PER_THREAD_Y, acc, bias0); - -#else // defined(BROADCAST_BIAS) - __global uchar *src2_addr = src2_ptr + src2_offset_first_element_in_bytes + (get_global_id(0) * (uint)4 * sizeof(float)) + (get_global_id(1) * - (uint)NUM_ELEMS_PROCESSED_PER_THREAD_Y * src2_stride_y) + get_global_id(2) * src2_stride_z; - - LOAD_BLOCK(NUM_ELEMS_PROCESSED_PER_THREAD_Y, 4, float, bias, src2_addr, 0, src2_stride_y, zero); - -#ifndef UNIT_BETA - SCALE_BLOCK(NUM_ELEMS_PROCESSED_PER_THREAD_Y, float, bias, BETA); -#endif // UNIT_BIAS - - // acc = acc + bias - ADD_BLOCK(NUM_ELEMS_PROCESSED_PER_THREAD_Y, acc, bias); - -#endif // defined(BROADCAST_BIAS) -#endif // defined(BETA) - -#if defined(ACTIVATION_TYPE) - ACTIVATION_BLOCK(NUM_ELEMS_PROCESSED_PER_THREAD_Y, ACTIVATION_TYPE, float, acc, A_VAL, B_VAL); -#endif // defined(ACTIVATION_TYPE) - - // Store the output block - vstore4(acc0, 0, (__global float *)(dst_addr + 0 * dst_stride_y + zout.s0)); -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - vstore4(acc1, 0, (__global float *)(dst_addr + 1 * dst_stride_y + zout.s1)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - vstore4(acc2, 0, (__global float *)(dst_addr + 2 * dst_stride_y + zout.s2)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - vstore4(acc3, 0, (__global float *)(dst_addr + 3 * dst_stride_y + zout.s3)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 -} - -/** This OpenCL kernel computes the matrix by matrix multiplication between the matrix A (src0) and matrix B (src1) in case both matrices have not been reshaped - * - * @note This OpenCL kernel works with the 32-bit floating point data type (float) and uses the fma units. - * This OpenCL kernel is optimized for Bifrost when the number of matrix B columns is less or equal to 1000. - * @note The number of elements processed along the x and y directions must be passed at compile time using -DNUM_ELEMS_PROCESSED_PER_THREAD_X and -DNUM_ELEMS_PROCESSED_PER_THREAD_Y. - * This kernel optimally uses -DNUM_ELEMS_PROCESSED_PER_THREAD_X=2. - * @note The number of matrix A columns must be passed at compile time using -DCOLS_A. - * @note The optional value of scalar alpha is passed at compile time using -DALPHA=alpha if alpha!=1.0f. - * @note In case the matrix B has 3 dimensions and the matrix A more than 3, in order to avoid out-of-bounds reads, the number of channels of matrix B must be passed at compile time using MATRIX_B_DEPTH (e.g. -DMATRIX_B_DEPTH=16) - * This case can happen when GEMM is used to perform the element-wise multiplication through a batched matrix multiplication (2D Winograd) and we have multiple inputs (e.g. a = [K, M, 16, Batches], b = [N, K, 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 matrix A NOT reshaped - * - * @param[in] src0_ptr Pointer to the source matrix. Supported data types: F32 - * @param[in] src0_stride_x Stride of the source matrix in X dimension (in bytes) - * @param[in] src0_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src0_stride_y Stride of the source matrix in Y dimension (in bytes) - * @param[in] src0_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src0_offset_first_element_in_bytes The offset of the first element in the source matrix - * @param[in] src1_ptr Pointer to the source matrix. Supported data types: same as @p src0_ptr - * @param[in] src1_stride_x Stride of the source matrix in X dimension (in bytes) - * @param[in] src1_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src1_stride_y Stride of the source matrix in Y dimension (in bytes) - * @param[in] src1_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src1_offset_first_element_in_bytes The offset of the first element in the source matrix - * @param[in] src2_ptr (Optional) Pointer to the bias matrix. Supported data type: same as @p lhs_ptr - * @param[in] src2_stride_x (Optional) Stride of the bias matrix in X dimension (in bytes) - * @param[in] src2_step_x (Optional) src2_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src2_stride_y (Optional) Stride of the bias matrix in Y dimension (in bytes) - * @param[in] src2_step_y (Optional) src2_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src2_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 types: same as @p src0_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_offset_first_element_in_bytes The offset of the first element in the destination matrix - * @param[in] src0_stride_z Stride of the source matrix in Z dimension (in bytes) - * @param[in] src1_stride_z Stride of the source matrix in Z dimension (in bytes) - * @param[in] src2_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] src_cross_plane_pad (Optional) Bottom paddings in unit of elements for the input tensor (only if defined REINTERPRET_INPUT_AS_3D) - * @param[in] dst_cross_plane_pad (Optional) Bottom paddings in unit of elements (only if defined REINTERPRET_OUTPUT_AS_3D) - */ -__kernel void gemm_mm_floating_point_f32_bifrost_1000(IMAGE_DECLARATION(src0), - IMAGE_DECLARATION(src1), -#if defined(BETA) - IMAGE_DECLARATION(src2), -#endif // defined(BETA) - IMAGE_DECLARATION(dst), - uint src0_stride_z, - uint src1_stride_z, -#if defined(BETA) - uint src2_stride_z, -#endif //defined(BETA) - uint dst_stride_z -#if defined(REINTERPRET_INPUT_AS_3D) - , - uint src_cross_plane_pad -#endif // REINTERPRET_INPUT_AS_3D -#if defined(REINTERPRET_OUTPUT_AS_3D) - , - uint dst_cross_plane_pad -#endif // REINTERPRET_OUTPUT_AS_3D - ) -{ - // Requires 2 NUM_ELEMS_PROCESSED_PER_THREAD_X, C vect2, A vect4, B (2 vload2) // to fix for NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - int idx = get_global_id(0) * NUM_ELEMS_PROCESSED_PER_THREAD_X; - - // Compute starting address for matrix A and Matrix B - int2 src_addr = ((int2)(src0_offset_first_element_in_bytes, src1_offset_first_element_in_bytes)); - - // Update address for the matrix A - src_addr.s0 += get_global_id(1) * src0_stride_y * NUM_ELEMS_PROCESSED_PER_THREAD_Y; - - // Update address for the matrix B - src_addr.s1 += idx * sizeof(float); - -#if defined(REINTERPRET_INPUT_AS_3D) - // Since we load a 2D input tile from a 3D tensor, we need to check when the plane changes across the z dimension - // in order to take into account the presence of possible cross plane paddings - // - // | | - // | plane0 | - // | | - // |__________________| - // |******************| - // | cross_plane_pad | - // |******************| - // | | - // | plane1 | - // | | - // |__________________| - - // The plane (zin) is calculated dividing M (get_global_id(1) * NUM_ELEMS_PROCESSED_PER_THREAD_Y) by HEIGHT_GEMM3D - uint4 zin = ((uint4)(0, 1, 2, 3) + (uint4)(get_global_id(1) * NUM_ELEMS_PROCESSED_PER_THREAD_Y)) / (uint4)HEIGHT_GEMM3D; - zin = min(DEPTH_GEMM3D - 1, zin); - - // Add offset due to the cross plane paddings - zin *= (src_cross_plane_pad * src0_stride_y); - - // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we - // multiply src0_stride_z by DEPTH_GEMM3D - src_addr.s0 += get_global_id(2) * src0_stride_z * DEPTH_GEMM3D; - -#else // defined(REINTERPRET_INPUT_AS_3D) - - // Add offset for batched GEMM - src_addr.s0 += get_global_id(2) * src0_stride_z; - -#endif // defined(REINTERPRET_INPUT_AS_3D) - -#if defined(MATRIX_B_DEPTH) - // Do not slide matrix B if the matrix B has 3 dimensions and matrix A more than 3 - src_addr.s1 += (get_global_id(2) % MATRIX_B_DEPTH) * src1_stride_z; -#else // defined(MATRIX_B_DEPTH) - src_addr.s1 += get_global_id(2) * src1_stride_z; -#endif // defined(MATRIX_B_DEPTH) - - // Initialize accumulators - float2 acc0 = 0.0f; -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - float2 acc1 = 0.0f; -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - float2 acc2 = 0.0f; -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - float2 acc3 = 0.0f; -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - - // A and B src indices get incremented at the same time. - int i = 0; - for(; i <= ((int)COLS_A - 8); i += 8) - { -#if defined(REINTERPRET_INPUT_AS_3D) - // Load values from matrix A - float8 a0 = vload8(0, (__global float *)(src0_ptr + src_addr.s0 + zin.s0)); -#else // defined(REINTERPRET_INPUT_AS_3D) - // Load values from matrix A - float8 a0 = vload8(0, (__global float *)(src0_ptr + src_addr.s0)); -#endif // defined(REINTERPRET_INPUT_AS_3D) - - // Load values from matrix B - float2 b0 = vload2(0, (__global float *)(src1_ptr + src_addr.s1)); - src_addr.s1 += src1_stride_y; - float2 b1 = vload2(0, (__global float *)(src1_ptr + src_addr.s1)); - src_addr.s1 += src1_stride_y; - float2 b2 = vload2(0, (__global float *)(src1_ptr + src_addr.s1)); - src_addr.s1 += src1_stride_y; - float2 b3 = vload2(0, (__global float *)(src1_ptr + src_addr.s1)); - src_addr.s1 += src1_stride_y; - float2 b4 = vload2(0, (__global float *)(src1_ptr + src_addr.s1)); - src_addr.s1 += src1_stride_y; - float2 b5 = vload2(0, (__global float *)(src1_ptr + src_addr.s1)); - src_addr.s1 += src1_stride_y; - float2 b6 = vload2(0, (__global float *)(src1_ptr + src_addr.s1)); - src_addr.s1 += src1_stride_y; - float2 b7 = vload2(0, (__global float *)(src1_ptr + src_addr.s1)); - src_addr.s1 += src1_stride_y; - - // Multiply and accumulate - acc0.s0 = fma(a0.s0, b0.s0, acc0.s0); - acc0.s0 = fma(a0.s1, b1.s0, acc0.s0); - acc0.s0 = fma(a0.s2, b2.s0, acc0.s0); - acc0.s0 = fma(a0.s3, b3.s0, acc0.s0); - acc0.s0 = fma(a0.s4, b4.s0, acc0.s0); - acc0.s0 = fma(a0.s5, b5.s0, acc0.s0); - acc0.s0 = fma(a0.s6, b6.s0, acc0.s0); - acc0.s0 = fma(a0.s7, b7.s0, acc0.s0); - - acc0.s1 = fma(a0.s0, b0.s1, acc0.s1); - acc0.s1 = fma(a0.s1, b1.s1, acc0.s1); - acc0.s1 = fma(a0.s2, b2.s1, acc0.s1); - acc0.s1 = fma(a0.s3, b3.s1, acc0.s1); - acc0.s1 = fma(a0.s4, b4.s1, acc0.s1); - acc0.s1 = fma(a0.s5, b5.s1, acc0.s1); - acc0.s1 = fma(a0.s6, b6.s1, acc0.s1); - acc0.s1 = fma(a0.s7, b7.s1, acc0.s1); - -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if defined(REINTERPRET_INPUT_AS_3D) - a0 = vload8(0, (__global float *)(src0_ptr + src_addr.s0 + 1 * src0_stride_y + zin.s1)); -#else // defined(REINTERPRET_INPUT_AS_3D) - a0 = vload8(0, (__global float *)(src0_ptr + src_addr.s0 + 1 * src0_stride_y)); -#endif // defined(REINTERPRET_INPUT_AS_3D) - acc1.s0 = fma(a0.s0, b0.s0, acc1.s0); - acc1.s0 = fma(a0.s1, b1.s0, acc1.s0); - acc1.s0 = fma(a0.s2, b2.s0, acc1.s0); - acc1.s0 = fma(a0.s3, b3.s0, acc1.s0); - acc1.s0 = fma(a0.s4, b4.s0, acc1.s0); - acc1.s0 = fma(a0.s5, b5.s0, acc1.s0); - acc1.s0 = fma(a0.s6, b6.s0, acc1.s0); - acc1.s0 = fma(a0.s7, b7.s0, acc1.s0); - - acc1.s1 = fma(a0.s0, b0.s1, acc1.s1); - acc1.s1 = fma(a0.s1, b1.s1, acc1.s1); - acc1.s1 = fma(a0.s2, b2.s1, acc1.s1); - acc1.s1 = fma(a0.s3, b3.s1, acc1.s1); - acc1.s1 = fma(a0.s4, b4.s1, acc1.s1); - acc1.s1 = fma(a0.s5, b5.s1, acc1.s1); - acc1.s1 = fma(a0.s6, b6.s1, acc1.s1); - acc1.s1 = fma(a0.s7, b7.s1, acc1.s1); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if defined(REINTERPRET_INPUT_AS_3D) - a0 = vload8(0, (__global float *)(src0_ptr + src_addr.s0 + 2 * src0_stride_y + zin.s2)); -#else // defined(REINTERPRET_INPUT_AS_3D) - a0 = vload8(0, (__global float *)(src0_ptr + src_addr.s0 + 2 * src0_stride_y)); -#endif // defined(REINTERPRET_INPUT_AS_3D) - acc2.s0 = fma(a0.s0, b0.s0, acc2.s0); - acc2.s0 = fma(a0.s1, b1.s0, acc2.s0); - acc2.s0 = fma(a0.s2, b2.s0, acc2.s0); - acc2.s0 = fma(a0.s3, b3.s0, acc2.s0); - acc2.s0 = fma(a0.s4, b4.s0, acc2.s0); - acc2.s0 = fma(a0.s5, b5.s0, acc2.s0); - acc2.s0 = fma(a0.s6, b6.s0, acc2.s0); - acc2.s0 = fma(a0.s7, b7.s0, acc2.s0); - - acc2.s1 = fma(a0.s0, b0.s1, acc2.s1); - acc2.s1 = fma(a0.s1, b1.s1, acc2.s1); - acc2.s1 = fma(a0.s2, b2.s1, acc2.s1); - acc2.s1 = fma(a0.s3, b3.s1, acc2.s1); - acc2.s1 = fma(a0.s4, b4.s1, acc2.s1); - acc2.s1 = fma(a0.s5, b5.s1, acc2.s1); - acc2.s1 = fma(a0.s6, b6.s1, acc2.s1); - acc2.s1 = fma(a0.s7, b7.s1, acc2.s1); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 -#if defined(REINTERPRET_INPUT_AS_3D) - a0 = vload8(0, (__global float *)(src0_ptr + src_addr.s0 + 3 * src0_stride_y + zin.s3)); -#else // defined(REINTERPRET_INPUT_AS_3D) - a0 = vload8(0, (__global float *)(src0_ptr + src_addr.s0 + 3 * src0_stride_y)); -#endif // defined(REINTERPRET_INPUT_AS_3D) - acc3.s0 = fma(a0.s0, b0.s0, acc3.s0); - acc3.s0 = fma(a0.s1, b1.s0, acc3.s0); - acc3.s0 = fma(a0.s2, b2.s0, acc3.s0); - acc3.s0 = fma(a0.s3, b3.s0, acc3.s0); - acc3.s0 = fma(a0.s4, b4.s0, acc3.s0); - acc3.s0 = fma(a0.s5, b5.s0, acc3.s0); - acc3.s0 = fma(a0.s6, b6.s0, acc3.s0); - acc3.s0 = fma(a0.s7, b7.s0, acc3.s0); - - acc3.s1 = fma(a0.s0, b0.s1, acc3.s1); - acc3.s1 = fma(a0.s1, b1.s1, acc3.s1); - acc3.s1 = fma(a0.s2, b2.s1, acc3.s1); - acc3.s1 = fma(a0.s3, b3.s1, acc3.s1); - acc3.s1 = fma(a0.s4, b4.s1, acc3.s1); - acc3.s1 = fma(a0.s5, b5.s1, acc3.s1); - acc3.s1 = fma(a0.s6, b6.s1, acc3.s1); - acc3.s1 = fma(a0.s7, b7.s1, acc3.s1); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - - src_addr.s0 += sizeof(float) * 8; - } - // float size increment - for(; i < (int)COLS_A; ++i) - { -#if defined(REINTERPRET_INPUT_AS_3D) - // Load values from matrix A - float a0 = *((__global float *)(src0_ptr + src_addr.s0 + 0 * src0_stride_y + zin.s0)); -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - float a1 = *((__global float *)(src0_ptr + src_addr.s0 + 1 * src0_stride_y + zin.s1)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - float a2 = *((__global float *)(src0_ptr + src_addr.s0 + 2 * src0_stride_y + zin.s2)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - float a3 = *((__global float *)(src0_ptr + src_addr.s0 + 3 * src0_stride_y + zin.s3)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 -#else // defined(REINTERPRET_INPUT_AS_3D) - // Load values from matrix A - float a0 = *((__global float *)(src0_ptr + src_addr.s0 + 0 * src0_stride_y)); -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - float a1 = *((__global float *)(src0_ptr + src_addr.s0 + 1 * src0_stride_y)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - float a2 = *((__global float *)(src0_ptr + src_addr.s0 + 2 * src0_stride_y)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - float a3 = *((__global float *)(src0_ptr + src_addr.s0 + 3 * src0_stride_y)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 -#endif // defined(REINTERPRET_INPUT_AS_3D) - - // Load values from matrix B - float2 b0 = vload2(0, (__global float *)(src1_ptr + src_addr.s1)); - src_addr.s1 += src1_stride_y; - - // Multiply and accumulate - acc0.s0 = fma(a0, b0.s0, acc0.s0); - acc0.s1 = fma(a0, b0.s1, acc0.s1); -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - acc1.s0 = fma(a1, b0.s0, acc1.s0); - acc1.s1 = fma(a1, b0.s1, acc1.s1); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - acc2.s0 = fma(a2, b0.s0, acc2.s0); - acc2.s1 = fma(a2, b0.s1, acc2.s1); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - acc3.s0 = fma(a3, b0.s0, acc3.s0); - acc3.s1 = fma(a3, b0.s1, acc3.s1); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - - src_addr.s0 += sizeof(float); - } - - int z = get_global_id(2); - - // Compute destination address - Image dst = CONVERT_TO_IMAGE_STRUCT(dst); - - // Compute dst address - __global uchar *dst_addr = offset(&dst, 0, 0); - - uint4 zout = 0; - -#if defined(REINTERPRET_OUTPUT_AS_3D) - - // Since we store a 2D output tile in a 3D tensor, we need to check when the plane changes across the z dimension - // in order to take into account the presence of possible cross plane paddings - // - // | | - // | plane0 | - // | | - // |__________________| - // |******************| - // | cross_plane_pad | - // |******************| - // | | - // | plane1 | - // | | - // |__________________| - - // The plane (zout) is calculated dividing M (get_global_id(1) * NUM_ELEMS_PROCESSED_PER_THREAD_Y) by HEIGHT_GEMM3D - zout = ((uint4)(0, 1, 2, 3) + (uint4)(get_global_id(1) * NUM_ELEMS_PROCESSED_PER_THREAD_Y)) / (uint4)HEIGHT_GEMM3D; - zout = min(DEPTH_GEMM3D - 1, zout); - - // Add offset due to the cross plane paddings - zout *= (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(NUM_ELEMS_PROCESSED_PER_THREAD_Y, float, acc, ALPHA); -#endif // defined(ALPHA) - - // Add beta*bias -#if defined(BETA) - REPEAT_VAR_INIT_TO_CONST(NUM_ELEMS_PROCESSED_PER_THREAD_Y, uint, zero, 0); - -#if defined(BROADCAST_BIAS) - __global uchar *src2_addr = src2_ptr + src2_offset_first_element_in_bytes + (get_global_id(0) * (uint)2 * sizeof(float)); - - LOAD_BLOCK(1, 2, float, bias, src2_addr, 0, src2_stride_y, zero); - -#ifndef UNIT_BETA - SCALE_BLOCK(1, float, bias, BETA); -#endif // UNIT_BIAS - - // acc = acc + bias[broadcasted] - ADD_BLOCK_BROADCAST(NUM_ELEMS_PROCESSED_PER_THREAD_Y, acc, bias0); - -#else // defined(BROADCAST_BIAS) - __global uchar *src2_addr = src2_ptr + src2_offset_first_element_in_bytes + (get_global_id(0) * (uint)2 * sizeof(float)) + (get_global_id(1) * - (uint)NUM_ELEMS_PROCESSED_PER_THREAD_Y * src2_stride_y) + get_global_id(2) * src2_stride_z; - - LOAD_BLOCK(NUM_ELEMS_PROCESSED_PER_THREAD_Y, 2, float, bias, src2_addr, 0, src2_stride_y, zero); - -#ifndef UNIT_BETA - SCALE_BLOCK(NUM_ELEMS_PROCESSED_PER_THREAD_Y, float, bias, BETA); -#endif // UNIT_BIAS - - // acc = acc + bias - ADD_BLOCK(NUM_ELEMS_PROCESSED_PER_THREAD_Y, acc, bias); - -#endif // defined(BROADCAST_BIAS) -#endif // defined(BETA) - -#if defined(ACTIVATION_TYPE) - ACTIVATION_BLOCK(NUM_ELEMS_PROCESSED_PER_THREAD_Y, ACTIVATION_TYPE, float, acc, A_VAL, B_VAL); -#endif // defined(ACTIVATION_TYPE) - - // Store the output block - vstore2(acc0, 0, (__global float *)(dst_addr + 0 * dst_stride_y + zout.s0)); -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - vstore2(acc1, 0, (__global float *)(dst_addr + 1 * dst_stride_y + zout.s1)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - vstore2(acc2, 0, (__global float *)(dst_addr + 2 * dst_stride_y + zout.s2)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - vstore2(acc3, 0, (__global float *)(dst_addr + 3 * dst_stride_y + zout.s3)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 -} - -#if defined(ARM_COMPUTE_OPENCL_FP16_ENABLED) -/** This OpenCL kernel computes the matrix by matrix multiplication between the matrix A (src0) and matrix B (src1) in case both matrices have not beed reshaped - * - * @note This OpenCL kernel works with the 16-bit floating point data type (half) and accumulating the result in a 32 floating point variable. - * @note The number of elements processed along the x and y directions must be passed at compile time using -DNUM_ELEMS_PROCESSED_PER_THREAD_X and -DNUM_ELEMS_PROCESSED_PER_THREAD_Y. - * This kernel optimally uses -DNUM_ELEMS_PROCESSED_PER_THREAD_X=4. - * @note The number of matrix A columns must be passed at compile time using -DCOLS_A. - * @note The optional value of scalar alpha is passed at compile time using -DALPHA=alpha - * @note In case the matrix B has 3 dimensions and the matrix A more than 3, in order to avoid out-of-bounds reads, the number of channels of matrix B must be passed at compile time using MATRIX_B_DEPTH (e.g. -DMATRIX_B_DEPTH=16) - * This case can happen when GEMM is used to perform the element-wise multiplication through a batched matrix multiplication (2D Winograd) and we have multiple inputs (e.g. a = [K, M, 16, Batches], b = [N, K, 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 matrix A NOT reshaped - * - * @param[in] src0_ptr Pointer to the source matrix. Supported data types: F16 - * @param[in] src0_stride_x Stride of the source matrix in X dimension (in bytes) - * @param[in] src0_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src0_stride_y Stride of the source matrix in Y dimension (in bytes) - * @param[in] src0_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src0_offset_first_element_in_bytes The offset of the first element in the source matrix - * @param[in] src1_ptr Pointer to the source matrix. Supported data types: same as @p src0_ptr - * @param[in] src1_stride_x Stride of the source matrix in X dimension (in bytes) - * @param[in] src1_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src1_stride_y Stride of the source matrix in Y dimension (in bytes) - * @param[in] src1_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src1_offset_first_element_in_bytes The offset of the first element in the source matrix - * @param[in] src2_ptr (Optional) Pointer to the bias matrix. Supported data type: same as @p lhs_ptr - * @param[in] src2_stride_x (Optional) Stride of the bias matrix in X dimension (in bytes) - * @param[in] src2_step_x (Optional) src2_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src2_stride_y (Optional) Stride of the bias matrix in Y dimension (in bytes) - * @param[in] src2_step_y (Optional) src2_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src2_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 types: same as @p src0_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_offset_first_element_in_bytes The offset of the first element in the destination matrix - * @param[in] src0_stride_z Stride of the source matrix in Z dimension (in bytes) - * @param[in] src1_stride_z Stride of the source matrix in Z dimension (in bytes) - * @param[in] src2_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] src_cross_plane_pad (Optional) Bottom paddings in unit of elements for the input tensor (only if defined REINTERPRET_INPUT_AS_3D) - * @param[in] dst_cross_plane_pad (Optional) Bottom paddings in unit of elements (only if defined REINTERPRET_OUTPUT_AS_3D) - */ -__kernel void gemm_mm_floating_point_f16_bifrost_acc32(IMAGE_DECLARATION(src0), - IMAGE_DECLARATION(src1), -#if defined(BETA) - IMAGE_DECLARATION(src2), -#endif // defined(BETA) - IMAGE_DECLARATION(dst), - uint src0_stride_z, - uint src1_stride_z, -#if defined(BETA) - uint src2_stride_z, -#endif //defined(BETA) - uint dst_stride_z -#if defined(REINTERPRET_INPUT_AS_3D) - , - uint src_cross_plane_pad -#endif // REINTERPRET_INPUT_AS_3D -#if defined(REINTERPRET_OUTPUT_AS_3D) - , - uint dst_cross_plane_pad -#endif // REINTERPRET_OUTPUT_AS_3D - ) -{ - int idx = get_global_id(0) * NUM_ELEMS_PROCESSED_PER_THREAD_X; - - // Compute starting address for matrix A and Matrix B - int2 src_addr = ((int2)(src0_offset_first_element_in_bytes, src1_offset_first_element_in_bytes)); - - // Update address for the matrix A - src_addr.s0 += get_global_id(1) * src0_stride_y * NUM_ELEMS_PROCESSED_PER_THREAD_Y; - - // Update address for the matrix B - src_addr.s1 += idx * sizeof(half); - -#if defined(REINTERPRET_INPUT_AS_3D) - // Since we load a 2D input tile from a 3D tensor, we need to check when the plane changes across the z dimension - // in order to take into account the presence of possible cross plane paddings - // - // | | - // | plane0 | - // | | - // |__________________| - // |******************| - // | cross_plane_pad | - // |******************| - // | | - // | plane1 | - // | | - // |__________________| - - // The plane (zin) is calculated dividing M (get_global_id(1) * NUM_ELEMS_PROCESSED_PER_THREAD_Y) by HEIGHT_GEMM3D - uint4 zin = ((uint4)(0, 1, 2, 3) + (uint4)(get_global_id(1) * NUM_ELEMS_PROCESSED_PER_THREAD_Y)) / (uint4)HEIGHT_GEMM3D; - zin = min(DEPTH_GEMM3D - 1, zin); - - // Add offset due to the cross plane paddings - zin *= (src_cross_plane_pad * src0_stride_y); - - // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we - // multiply src0_stride_z by DEPTH_GEMM3D - src_addr.s0 += get_global_id(2) * src0_stride_z * DEPTH_GEMM3D; - -#else // defined(REINTERPRET_INPUT_AS_3D) - - // Add offset for batched GEMM - src_addr.s0 += get_global_id(2) * src0_stride_z; - -#endif // defined(REINTERPRET_INPUT_AS_3D) - -#if defined(MATRIX_B_DEPTH) - // Do not slide matrix B if the matrix B has 3 dimensions and matrix A more than 3 - src_addr.s1 += (get_global_id(2) % MATRIX_B_DEPTH) * src1_stride_z; -#else // defined(MATRIX_B_DEPTH) - src_addr.s1 += get_global_id(2) * src1_stride_z; -#endif // defined(MATRIX_B_DEPTH) - - float8 acc0 = 0.0h; -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - float8 acc1 = 0.0h; -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - float8 acc2 = 0.0h; -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - float8 acc3 = 0.0h; -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - - int i = 0; - for(; i <= ((int)COLS_A - 4); i += 4) - { -#if defined(REINTERPRET_INPUT_AS_3D) - // Load values from matrix A - LOAD_BLOCK(NUM_ELEMS_PROCESSED_PER_THREAD_Y, 4, half, a, src0_ptr, src_addr.s0, src0_stride_y, zin.s); -#else // defined(REINTERPRET_INPUT_AS_3D) - // Load values from matrix A - half4 a0 = vload4(0, (__global half *)(src0_ptr + src_addr.s0 + 0 * src0_stride_y)); -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - half4 a1 = vload4(0, (__global half *)(src0_ptr + src_addr.s0 + 1 * src0_stride_y)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - half4 a2 = vload4(0, (__global half *)(src0_ptr + src_addr.s0 + 2 * src0_stride_y)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - half4 a3 = vload4(0, (__global half *)(src0_ptr + src_addr.s0 + 3 * src0_stride_y)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 -#endif // defined(REINTERPRET_INPUT_AS_3D) - - // Load values from matrix B - float8 b0 = convert_float8(vload8(0, (__global half *)(src1_ptr + src_addr.s1))); - src_addr.s1 += src1_stride_y; - - // Accumulate - acc0 = fma(b0, (float8)a0.s0, acc0); -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - acc1 = fma(b0, (float8)a1.s0, acc1); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - acc2 = fma(b0, (float8)a2.s0, acc2); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - acc3 = fma(b0, (float8)a3.s0, acc3); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - - b0 = convert_float8(vload8(0, (__global half *)(src1_ptr + src_addr.s1))); - src_addr.s1 += src1_stride_y; - acc0 = fma(b0, (float8)a0.s1, acc0); -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - acc1 = fma(b0, (float8)a1.s1, acc1); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - acc2 = fma(b0, (float8)a2.s1, acc2); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - acc3 = fma(b0, (float8)a3.s1, acc3); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - - b0 = convert_float8(vload8(0, (__global half *)(src1_ptr + src_addr.s1))); - src_addr.s1 += src1_stride_y; - acc0 = fma(b0, (float8)a0.s2, acc0); -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - acc1 = fma(b0, (float8)a1.s2, acc1); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - acc2 = fma(b0, (float8)a2.s2, acc2); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - acc3 = fma(b0, (float8)a3.s2, acc3); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - - b0 = convert_float8(vload8(0, (__global half *)(src1_ptr + src_addr.s1))); - src_addr.s1 += src1_stride_y; - acc0 = fma(b0, (float8)a0.s3, acc0); -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - acc1 = fma(b0, (float8)a1.s3, acc1); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - acc2 = fma(b0, (float8)a2.s3, acc2); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - acc3 = fma(b0, (float8)a3.s3, acc3); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - - src_addr.s0 += 4 * sizeof(half); - } - - for(; i < (int)COLS_A; ++i) - { -#if defined(REINTERPRET_INPUT_AS_3D) - // Load values from matrix A - half a0 = *((__global half *)(src0_ptr + src_addr.s0 + 0 * src0_stride_y + zin.s0)); -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - half a1 = *((__global half *)(src0_ptr + src_addr.s0 + 1 * src0_stride_y + zin.s1)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - half a2 = *((__global half *)(src0_ptr + src_addr.s0 + 2 * src0_stride_y + zin.s2)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - half a3 = *((__global half *)(src0_ptr + src_addr.s0 + 3 * src0_stride_y + zin.s3)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 -#else // defined(REINTERPRET_INPUT_AS_3D) - // Load values from matrix A - half a0 = *((__global half *)(src0_ptr + src_addr.s0 + 0 * src0_stride_y)); -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - half a1 = *((__global half *)(src0_ptr + src_addr.s0 + 1 * src0_stride_y)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - half a2 = *((__global half *)(src0_ptr + src_addr.s0 + 2 * src0_stride_y)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - half a3 = *((__global half *)(src0_ptr + src_addr.s0 + 3 * src0_stride_y)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 -#endif // defined(REINTERPRET_INPUT_AS_3D) - - // Load values from matrix B - float8 b0 = convert_float8(vload8(0, (__global half *)(src1_ptr + src_addr.s1))); - - src_addr += (int2)(sizeof(half), src1_stride_y); - - // Accumulate - acc0 = fma(b0, (float8)a0, acc0); // b0 * (half8)a0; -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - acc1 = fma(b0, (float8)a1, acc1); // b0 * (half8)a1; -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - acc2 = fma(b0, (float8)a2, acc2); // b0 * (half8)a2; -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - acc3 = fma(b0, (float8)a3, acc3); // b0 * (half8)a3; -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - } - - int z = get_global_id(2); - - // Compute destination address - Image dst = CONVERT_TO_IMAGE_STRUCT(dst); - - // Compute dst address - __global uchar *dst_addr = offset(&dst, 0, 0); - - uint4 zout = 0; - -#if defined(REINTERPRET_OUTPUT_AS_3D) - - // Since we store a 2D output tile in a 3D tensor, we need to check when the plane changes across the z dimension - // in order to take into account the presence of possible cross plane paddings - // - // | | - // | plane0 | - // | | - // |__________________| - // |******************| - // | cross_plane_pad | - // |******************| - // | | - // | plane1 | - // | | - // |__________________| - - // The plane (zout) is calculated dividing M (get_global_id(1) * NUM_ELEMS_PROCESSED_PER_THREAD_Y) by HEIGHT_GEMM3D - zout = ((uint4)(0, 1, 2, 3) + (uint4)(get_global_id(1) * NUM_ELEMS_PROCESSED_PER_THREAD_Y)) / (uint4)HEIGHT_GEMM3D; - zout = min(DEPTH_GEMM3D - 1, zout); - - // Add offset due to the cross plane paddings - zout *= (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(NUM_ELEMS_PROCESSED_PER_THREAD_Y, float, acc, ALPHA); -#endif // defined(ALPHA) - -#if defined(BETA) - REPEAT_VAR_INIT_TO_CONST(NUM_ELEMS_PROCESSED_PER_THREAD_Y, uint, zero, 0); - -#if defined(BROADCAST_BIAS) - __global uchar *src2_addr = src2_ptr + src2_offset_first_element_in_bytes + (get_global_id(0) * (uint)8 * sizeof(half)); - - LOAD_BLOCK(1, 8, half, bias, src2_addr, 0, src2_stride_y, zero); - - float8 bias_f0 = convert_float8(bias0); - -#ifndef UNIT_BETA - SCALE_BLOCK(1, float, bias_f, BETA); -#endif // UNIT_BIAS - - // acc = acc + bias[broadcasted] - ADD_BLOCK_BROADCAST(NUM_ELEMS_PROCESSED_PER_THREAD_Y, acc, bias_f0); - -#else // defined(BROADCAST_BIAS) - __global uchar *src2_addr = src2_ptr + src2_offset_first_element_in_bytes + (get_global_id(0) * (uint)8 * sizeof(half)) + (get_global_id(1) * - (uint)NUM_ELEMS_PROCESSED_PER_THREAD_Y * src2_stride_y) + get_global_id(2) * src2_stride_z; - - LOAD_BLOCK(NUM_ELEMS_PROCESSED_PER_THREAD_Y, 8, half, bias, src2_addr, 0, src2_stride_y, zero); - - float8 bias_f0 = convert_float8(bias0); -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - float8 bias_f1 = convert_float8(bias1); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - float8 bias_f2 = convert_float8(bias2); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - float8 bias_f3 = convert_float8(bias3); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - -#ifndef UNIT_BETA - SCALE_BLOCK(NUM_ELEMS_PROCESSED_PER_THREAD_Y, float, bias_f, BETA); -#endif // UNIT_BIAS - - // acc = acc + bias - ADD_BLOCK(NUM_ELEMS_PROCESSED_PER_THREAD_Y, acc, bias_f); - -#endif // defined(BROADCAST_BIAS) -#endif // defined(BETA) - - half8 acc_h0 = convert_half8(acc0); -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - half8 acc_h1 = convert_half8(acc1); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - half8 acc_h2 = convert_half8(acc2); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - half8 acc_h3 = convert_half8(acc3); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - -#if defined(ACTIVATION_TYPE) - ACTIVATION_BLOCK(NUM_ELEMS_PROCESSED_PER_THREAD_Y, ACTIVATION_TYPE, half, acc_h, A_VAL, B_VAL); -#endif // defined(ACTIVATION_TYPE) - - // Store the output block - STORE_BLOCK(NUM_ELEMS_PROCESSED_PER_THREAD_Y, 8, half, acc_h, dst_addr, dst_stride_y, zout.s); -} - -/** This OpenCL kernel computes the matrix by matrix multiplication between the matrix A (src0) and matrix B (src1) in case both matrices have not beed reshaped - * - * @note This OpenCL kernel works with the 16-bit floating point data type (half) and uses the fma units. - * @note The number of elements processed along the x and y directions must be passed at compile time using -DNUM_ELEMS_PROCESSED_PER_THREAD_X and -DNUM_ELEMS_PROCESSED_PER_THREAD_Y. - * This kernel optimally uses -DNUM_ELEMS_PROCESSED_PER_THREAD_X=4. - * @note The number of matrix A columns must be passed at compile time using -DCOLS_A. - * @note The optional value of scalar alpha is passed at compile time using -DALPHA=alpha - * @note In case the matrix B has 3 dimensions and the matrix A more than 3, in order to avoid out-of-bounds reads, the number of channels of matrix B must be passed at compile time using MATRIX_B_DEPTH (e.g. -DMATRIX_B_DEPTH=16) - * This case can happen when GEMM is used to perform the element-wise multiplication through a batched matrix multiplication (2D Winograd) and we have multiple inputs (e.g. a = [K, M, 16, Batches], b = [N, K, 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 matrix A NOT reshaped - * - * @param[in] src0_ptr Pointer to the source matrix. Supported data types: F16 - * @param[in] src0_stride_x Stride of the source matrix in X dimension (in bytes) - * @param[in] src0_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src0_stride_y Stride of the source matrix in Y dimension (in bytes) - * @param[in] src0_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src0_offset_first_element_in_bytes The offset of the first element in the source matrix - * @param[in] src1_ptr Pointer to the source matrix. Supported data types: same as @p src0_ptr - * @param[in] src1_stride_x Stride of the source matrix in X dimension (in bytes) - * @param[in] src1_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src1_stride_y Stride of the source matrix in Y dimension (in bytes) - * @param[in] src1_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src1_offset_first_element_in_bytes The offset of the first element in the source matrix - * @param[in] src2_ptr (Optional) Pointer to the bias matrix. Supported data type: same as @p lhs_ptr - * @param[in] src2_stride_x (Optional) Stride of the bias matrix in X dimension (in bytes) - * @param[in] src2_step_x (Optional) src2_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src2_stride_y (Optional) Stride of the bias matrix in Y dimension (in bytes) - * @param[in] src2_step_y (Optional) src2_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src2_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 types: same as @p src0_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_offset_first_element_in_bytes The offset of the first element in the destination matrix - * @param[in] src0_stride_z Stride of the source matrix in Z dimension (in bytes) - * @param[in] src1_stride_z Stride of the source matrix in Z dimension (in bytes) - * @param[in] src2_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] src_cross_plane_pad (Optional) Bottom paddings in unit of elements for the input tensor (only if defined REINTERPRET_INPUT_AS_3D) - * @param[in] dst_cross_plane_pad (Optional) Bottom paddings in unit of elements (only if defined REINTERPRET_OUTPUT_AS_3D) - */ -__kernel void gemm_mm_floating_point_f16_bifrost(IMAGE_DECLARATION(src0), - IMAGE_DECLARATION(src1), -#if defined(BETA) - IMAGE_DECLARATION(src2), -#endif // defined(BETA) - IMAGE_DECLARATION(dst), - uint src0_stride_z, - uint src1_stride_z, -#if defined(BETA) - uint src2_stride_z, -#endif //defined(BETA) - uint dst_stride_z -#if defined(REINTERPRET_INPUT_AS_3D) - , - uint src_cross_plane_pad -#endif // REINTERPRET_INPUT_AS_3D -#if defined(REINTERPRET_OUTPUT_AS_3D) - , - uint dst_cross_plane_pad -#endif // REINTERPRET_OUTPUT_AS_3D - ) -{ - int idx = get_global_id(0) * NUM_ELEMS_PROCESSED_PER_THREAD_X; - - // Compute starting address for matrix A and Matrix B - int2 src_addr = ((int2)(src0_offset_first_element_in_bytes, src1_offset_first_element_in_bytes)); - - // Update address for the matrix A - src_addr.s0 += get_global_id(1) * src0_stride_y * NUM_ELEMS_PROCESSED_PER_THREAD_Y; - - // Update address for the matrix B - src_addr.s1 += idx * sizeof(half); - -#if defined(REINTERPRET_INPUT_AS_3D) - // Since we load a 2D input tile from a 3D tensor, we need to check when the plane changes across the z dimension - // in order to take into account the presence of possible cross plane paddings - // - // | | - // | plane0 | - // | | - // |__________________| - // |******************| - // | cross_plane_pad | - // |******************| - // | | - // | plane1 | - // | | - // |__________________| - - // The plane (zin) is calculated dividing M (get_global_id(1) * NUM_ELEMS_PROCESSED_PER_THREAD_Y) by HEIGHT_GEMM3D - uint4 zin = ((uint4)(0, 1, 2, 3) + (uint4)(get_global_id(1) * NUM_ELEMS_PROCESSED_PER_THREAD_Y)) / (uint4)HEIGHT_GEMM3D; - zin = min(DEPTH_GEMM3D - 1, zin); - - // Add offset due to the cross plane paddings - zin *= (src_cross_plane_pad * src0_stride_y); - - // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we - // multiply src0_stride_z by DEPTH_GEMM3D - src_addr.s0 += get_global_id(2) * src0_stride_z * DEPTH_GEMM3D; - -#else // defined(REINTERPRET_INPUT_AS_3D) - - // Add offset for batched GEMM - src_addr.s0 += get_global_id(2) * src0_stride_z; - -#endif // defined(REINTERPRET_INPUT_AS_3D) - -#if defined(MATRIX_B_DEPTH) - // Do not slide matrix B if the matrix B has 3 dimensions and matrix A more than 3 - src_addr.s1 += (get_global_id(2) % MATRIX_B_DEPTH) * src1_stride_z; -#else // defined(MATRIX_B_DEPTH) - src_addr.s1 += get_global_id(2) * src1_stride_z; -#endif // defined(MATRIX_B_DEPTH) - - half8 acc0 = 0.0h; -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - half8 acc1 = 0.0h; -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - half8 acc2 = 0.0h; -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - half8 acc3 = 0.0h; -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - - int i = 0; - for(; i <= ((int)COLS_A - 4); i += 4) - { -#if defined(REINTERPRET_INPUT_AS_3D) - // Load values from matrix A - LOAD_BLOCK(NUM_ELEMS_PROCESSED_PER_THREAD_Y, 4, half, a, src0_ptr, src_addr.s0, src0_stride_y, zin.s); -#else // defined(REINTERPRET_INPUT_AS_3D) - // Load values from matrix A - half4 a0 = vload4(0, (__global half *)(src0_ptr + src_addr.s0 + 0 * src0_stride_y)); -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - half4 a1 = vload4(0, (__global half *)(src0_ptr + src_addr.s0 + 1 * src0_stride_y)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - half4 a2 = vload4(0, (__global half *)(src0_ptr + src_addr.s0 + 2 * src0_stride_y)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - half4 a3 = vload4(0, (__global half *)(src0_ptr + src_addr.s0 + 3 * src0_stride_y)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 -#endif // defined(REINTERPRET_INPUT_AS_3D) - - // Load values from matrix B - half8 b0 = vload8(0, (__global half *)(src1_ptr + src_addr.s1)); - src_addr.s1 += src1_stride_y; - - // Accumulate - acc0 = fma(b0, (half8)a0.s0, acc0); -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - acc1 = fma(b0, (half8)a1.s0, acc1); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - acc2 = fma(b0, (half8)a2.s0, acc2); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - acc3 = fma(b0, (half8)a3.s0, acc3); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - - b0 = vload8(0, (__global half *)(src1_ptr + src_addr.s1)); - src_addr.s1 += src1_stride_y; - acc0 = fma(b0, (half8)a0.s1, acc0); -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - acc1 = fma(b0, (half8)a1.s1, acc1); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - acc2 = fma(b0, (half8)a2.s1, acc2); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - acc3 = fma(b0, (half8)a3.s1, acc3); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - - b0 = vload8(0, (__global half *)(src1_ptr + src_addr.s1)); - src_addr.s1 += src1_stride_y; - acc0 = fma(b0, (half8)a0.s2, acc0); -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - acc1 = fma(b0, (half8)a1.s2, acc1); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - acc2 = fma(b0, (half8)a2.s2, acc2); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - acc3 = fma(b0, (half8)a3.s2, acc3); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - - b0 = vload8(0, (__global half *)(src1_ptr + src_addr.s1)); - src_addr.s1 += src1_stride_y; - acc0 = fma(b0, (half8)a0.s3, acc0); -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - acc1 = fma(b0, (half8)a1.s3, acc1); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - acc2 = fma(b0, (half8)a2.s3, acc2); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - acc3 = fma(b0, (half8)a3.s3, acc3); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - - src_addr.s0 += 4 * sizeof(half); - } - - for(; i < (int)COLS_A; ++i) - { -#if defined(REINTERPRET_INPUT_AS_3D) - // Load values from matrix A - half a0 = *((__global half *)(src0_ptr + src_addr.s0 + 0 * src0_stride_y + zin.s0)); -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - half a1 = *((__global half *)(src0_ptr + src_addr.s0 + 1 * src0_stride_y + zin.s1)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - half a2 = *((__global half *)(src0_ptr + src_addr.s0 + 2 * src0_stride_y + zin.s2)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - half a3 = *((__global half *)(src0_ptr + src_addr.s0 + 3 * src0_stride_y + zin.s3)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 -#else // defined(REINTERPRET_INPUT_AS_3D) - // Load values from matrix A - half a0 = *((__global half *)(src0_ptr + src_addr.s0 + 0 * src0_stride_y)); -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - half a1 = *((__global half *)(src0_ptr + src_addr.s0 + 1 * src0_stride_y)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - half a2 = *((__global half *)(src0_ptr + src_addr.s0 + 2 * src0_stride_y)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - half a3 = *((__global half *)(src0_ptr + src_addr.s0 + 3 * src0_stride_y)); -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 -#endif // defined(REINTERPRET_INPUT_AS_3D) - - // Load values from matrix B - half8 b0 = vload8(0, (__global half *)(src1_ptr + src_addr.s1)); - - src_addr += (int2)(sizeof(half), src1_stride_y); - - // Accumulate - acc0 = fma(b0, (half8)a0, acc0); // b0 * (half8)a0; -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 - acc1 = fma(b0, (half8)a1, acc1); // b0 * (half8)a1; -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 - acc2 = fma(b0, (half8)a2, acc2); // b0 * (half8)a2; -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 -#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - acc3 = fma(b0, (half8)a3, acc3); // b0 * (half8)a3; -#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 - } - - int z = get_global_id(2); - - // Compute destination address - Image dst = CONVERT_TO_IMAGE_STRUCT(dst); - - // Compute dst address - __global uchar *dst_addr = offset(&dst, 0, 0); - - uint4 zout = 0; - -#if defined(REINTERPRET_OUTPUT_AS_3D) - - // Since we store a 2D output tile in a 3D tensor, we need to check when the plane changes across the z dimension - // in order to take into account the presence of possible cross plane paddings - // - // | | - // | plane0 | - // | | - // |__________________| - // |******************| - // | cross_plane_pad | - // |******************| - // | | - // | plane1 | - // | | - // |__________________| - - // The plane (zout) is calculated dividing M (get_global_id(1) * NUM_ELEMS_PROCESSED_PER_THREAD_Y) by HEIGHT_GEMM3D - zout = ((uint4)(0, 1, 2, 3) + (uint4)(get_global_id(1) * NUM_ELEMS_PROCESSED_PER_THREAD_Y)) / (uint4)HEIGHT_GEMM3D; - zout = min(DEPTH_GEMM3D - 1, zout); - - // Add offset due to the cross plane paddings - zout *= (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(NUM_ELEMS_PROCESSED_PER_THREAD_Y, half, acc, ALPHA); -#endif // defined(ALPHA) - - // Add beta*bias -#if defined(BETA) - REPEAT_VAR_INIT_TO_CONST(NUM_ELEMS_PROCESSED_PER_THREAD_Y, uint, zero, 0); - -#if defined(BROADCAST_BIAS) - __global uchar *src2_addr = src2_ptr + src2_offset_first_element_in_bytes + (get_global_id(0) * (uint)8 * sizeof(half)); - - LOAD_BLOCK(1, 8, half, bias, src2_addr, 0, src2_stride_y, zero); - -#ifndef UNIT_BETA - SCALE_BLOCK(1, half, bias, BETA); -#endif // UNIT_BIAS - - // acc = acc + bias[broadcasted] - ADD_BLOCK_BROADCAST(NUM_ELEMS_PROCESSED_PER_THREAD_Y, acc, bias0); - -#else // defined(BROADCAST_BIAS) - __global uchar *src2_addr = src2_ptr + src2_offset_first_element_in_bytes + (get_global_id(0) * (uint)8 * sizeof(half)) + (get_global_id(1) * - (uint)NUM_ELEMS_PROCESSED_PER_THREAD_Y * src2_stride_y) + get_global_id(2) * src2_stride_z; - - LOAD_BLOCK(NUM_ELEMS_PROCESSED_PER_THREAD_Y, 8, half, bias, src2_addr, 0, src2_stride_y, zero); - -#ifndef UNIT_BETA - SCALE_BLOCK(NUM_ELEMS_PROCESSED_PER_THREAD_Y, half, bias, BETA); -#endif // UNIT_BIAS - - // acc = acc + bias - ADD_BLOCK(NUM_ELEMS_PROCESSED_PER_THREAD_Y, acc, bias); - -#endif // defined(BROADCAST_BIAS) -#endif // defined(BETA) - -#if defined(ACTIVATION_TYPE) - ACTIVATION_BLOCK(NUM_ELEMS_PROCESSED_PER_THREAD_Y, ACTIVATION_TYPE, half, acc, A_VAL, B_VAL); -#endif // defined(ACTIVATION_TYPE) - - // Store the output block - STORE_BLOCK(NUM_ELEMS_PROCESSED_PER_THREAD_Y, 8, half, acc, dst_addr, dst_stride_y, zout.s); -} -#endif // defined(ARM_COMPUTE_OPENCL_FP16_ENABLED) - -#endif // defined(COLS_A) && defined(NUM_ELEMS_PROCESSED_PER_THREAD_X) && (NUM_ELEMS_PROCESSED_PER_THREAD_Y) - -#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) - -#if defined(WIDTH_VECTOR_A) -/** This OpenCL kernel computes the vector by matrix multiplication between each row of A (src0) and matrix B (src1) used for locally connected layer - * - * @note The width of A need to be passed at compile time using -DWIDTH_VECTOR_A - * - * @note The input A and matrix B must not be reshaped - * - * @param[in] src0_ptr Pointer to the source matrix. Supported data types: F32 - * @param[in] src0_stride_x Stride of the source matrix in X dimension (in bytes) - * @param[in] src0_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src0_stride_y Stride of the source matrix in Y dimension (in bytes) - * @param[in] src0_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src0_offset_first_element_in_bytes The offset of the first element in the source matrix - * @param[in] src1_ptr Pointer to the source matrix. Supported data types: same as @p src0_ptr - * @param[in] src1_stride_x Stride of the source matrix in X dimension (in bytes) - * @param[in] src1_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src1_stride_y Stride of the source matrix in Y dimension (in bytes) - * @param[in] src1_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src1_stride_z Stride of the source matrix in Z dimension (in bytes) - * @param[in] src1_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] src1_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 src0_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_offset_first_element_in_bytes The offset of the first element in the destination matrix - */ -__kernel void gemm_lc_vm_f32(IMAGE_DECLARATION(src0), - TENSOR3D_DECLARATION(src1), - IMAGE_DECLARATION(dst)) -{ - int idx = get_global_id(0) * 4; - int idy = get_global_id(1); - - // Compute the address for the vector A and matrix B - int2 src_addr = ((int2)(src0_offset_first_element_in_bytes + src0_stride_y * idy, src1_offset_first_element_in_bytes + src1_stride_z * idy)); - src_addr.s1 += idx * sizeof(float); - - int end_row_vec_a = src_addr.s0 + (WIDTH_VECTOR_A * sizeof(float)); - - float4 acc = 0.0f; - - for(; src_addr.s0 <= (end_row_vec_a - 2 * (int)sizeof(float)); src_addr += (int2)(2 * sizeof(float), 2 * src1_stride_y)) - { - float2 a0 = vload2(0, (__global float *)(src0_ptr + src_addr.s0)); - float4 b0 = vload4(0, (__global float *)(src1_ptr + src_addr.s1)); - float4 b1 = vload4(0, (__global float *)(src1_ptr + src_addr.s1 + src1_stride_y)); - - acc += b0 * (float4)a0.s0; - acc += b1 * (float4)a0.s1; - } - - for(; src_addr.s0 < end_row_vec_a; src_addr += (int2)(sizeof(float), src1_stride_y)) - { - float a0 = *((__global float *)(src0_ptr + src_addr.s0)); - float4 b0 = vload4(0, (__global float *)(src1_ptr + src_addr.s1)); - - acc += b0 * (float4)a0; - } - - // Compute destination address - Image dst = CONVERT_TO_IMAGE_STRUCT(dst); - - vstore4(acc, 0, (__global float *)(offset(&dst, 0, 0))); -} -#endif // defined(WIDTH_VECTOR_A) - -/** This kernel accumulates each row with the biases vector. - * - * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=short. - * @note The vector size must be passed at compile time using -DVECTOR_SIZE e.g. -DVECTOR_SIZE=16. - * - * @param[in, out] accum_ptr Pointer to the accumulate tensor. Supported data type: U8/S8/U16/S16/F16/U32/S32/F32 - * @param[in] accum_stride_x Stride of the accmulate tensor in X dimension (in bytes) - * @param[in] accum_step_x accum_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] accum_stride_y Stride of the accumlulate tensor in Y dimension (in bytes) - * @param[in] accum_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] accum_offset_first_element_in_bytes The offset of the first element in the accumulate tensor - * @param[in] biases_ptr Pointer to the biases vector. Same as @p accum_ptr - * @param[in] biases_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] biases_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] biases_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -#if defined(DATA_TYPE) && defined(VECTOR_SIZE) -__kernel void gemm_accumulate_biases( - IMAGE_DECLARATION(accum), - VECTOR_DECLARATION(biases)) -{ - Image accum = CONVERT_TO_IMAGE_STRUCT(accum); - Vector biases = CONVERT_TO_VECTOR_STRUCT(biases); - - // Vector size, e.g. number of vector elements. - VEC_DATA_TYPE(DATA_TYPE, VECTOR_SIZE) - accum_value = VLOAD(VECTOR_SIZE)(0, (__global DATA_TYPE *)accum.ptr); - VEC_DATA_TYPE(DATA_TYPE, VECTOR_SIZE) - biases_value = VLOAD(VECTOR_SIZE)(0, (__global DATA_TYPE *)biases.ptr); - accum_value = biases_value + accum_value; - // Store result in the accumulate buffer - VSTORE(VECTOR_SIZE) - (accum_value, 0, (__global DATA_TYPE *)accum.ptr); -} -#endif // defined(DATA_TYPE) && defined(VECTOR_SIZE) |