diff options
Diffstat (limited to 'src/core/CL/cl_kernels/common/experimental/gemm_fused_post_ops/act_eltwise_op_act/gemm_mm_reshaped_only_rhs.cl')
| -rw-r--r-- | src/core/CL/cl_kernels/common/experimental/gemm_fused_post_ops/act_eltwise_op_act/gemm_mm_reshaped_only_rhs.cl | 1399 |
1 files changed, 0 insertions, 1399 deletions
diff --git a/src/core/CL/cl_kernels/common/experimental/gemm_fused_post_ops/act_eltwise_op_act/gemm_mm_reshaped_only_rhs.cl b/src/core/CL/cl_kernels/common/experimental/gemm_fused_post_ops/act_eltwise_op_act/gemm_mm_reshaped_only_rhs.cl deleted file mode 100644 index 09ddcde043..0000000000 --- a/src/core/CL/cl_kernels/common/experimental/gemm_fused_post_ops/act_eltwise_op_act/gemm_mm_reshaped_only_rhs.cl +++ /dev/null @@ -1,1399 +0,0 @@ -/* - * Copyright (c) 2021-2022 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 "fp_post_ops_act_eltwise_op_act.h" -#include "gemm_helpers.h" -#include "repeat.h" - -/** (EXPERIMENTAL_POST_OPS) gemm_mm_reshaped_only_rhs kernel */ -#if defined(M0) && defined(N0) && defined(K0) && defined(H0) && defined(DATA_TYPE) -#if defined(P2_ELTWISE_OP) && defined(P2_ELTWISE_ARG1_HEIGHT) && defined(P2_ELTWISE_ARG1_WIDTH) - -#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 - -#if defined(GEMM_MM_RESHAPED_ONLY_RHS_T_POST_ACT_ELTWISE_OP_ACT) -/** This OpenCL kernel computes the matrix multiplication between 2 matrices plus 3 post ops: - * Post op 1: activation (optional) - * Post op 2: elementwise op - * Post op 3: activation (optional) - * - * @note (Optional) -DP1_ACTIVATION_TYPE, -DP1_ACTIVATION_A_VAL, -DP1_ACTIVATION_B_VAL: The activation type, alpha and beta values of the activation post op at slot 3 - * @note (Required) -DP2_ELTWISE_OP: The (binary) elementwise post op to perform - * @note (Required) -DP2_ELTWISE_ARG1_HEIGHT: The height (Y dimension) of the eltwise operand matrix of the eltwise post op at slot 2 - * @note (Required) -DP2_ELTWISE_ARG1_WIDTH: The width (X dimension) of the eltwise operand matrix of the eltwise post op at slot 2 - * @note (Optional) -DP3_ACTIVATION_TYPE, -DP3_ACTIVATION_A_VAL, -DP3_ACTIVATION_B_VAL: The activation type, alpha and beta values of the activation post op at slot 3 - * - * All parameters are similarly defined in kernel gemm_mm_reshaped_only_rhs_t, with these additions: - * - * @param[in] eltwise_operand_ptr Pointer to the eltwise operand matrix. Supported data type: F16/F32 - * @param[in] eltwise_operand_stride_x Stride of the eltwise operand matrix in X dimension (in bytes) - * @param[in] eltwise_operand_step_x eltwise_operand_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] eltwise_operand_stride_y Stride of the eltwise operand matrix in Y dimension (in bytes) - * @param[in] eltwise_operand_step_y eltwise_operand_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] eltwise_operand_stride_z Stride of the eltwise operand tensor in Z dimension (in bytes) - */ -__kernel void gemm_mm_reshaped_only_rhs_t_post_act_eltwise_op_act(IMAGE_DECLARATION(lhs), - IMAGE_DECLARATION(rhs), -#if defined(BETA) - IMAGE_DECLARATION(bias), -#endif // defined(BETA) - IMAGE_DECLARATION(dst), - // Post Op arguments - IMAGE_DECLARATION(eltwise_operand), - uint lhs_stride_z, - uint rhs_stride_z, -#if defined(BETA) - uint bias_stride_z, -#endif //defined(BETA) - uint dst_stride_z, - uint eltwise_operand_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 - , - const int M, - const int N, - const int K) -{ - // 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); - - const bool cond_y = y == 0; - const bool cond_x = ((x + 1) * N0 >= N); - -#if defined(DUMMY_WORK_ITEMS) - if((x * N0 >= N) || (y * M0 >= M)) - { - return; - } -#endif // defined(DUMMY_WORK_ITEMS) - - // Compute LHS matrix address - uint lhs_offset = lhs_offset_first_element_in_bytes + COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0) * (uint)lhs_stride_y; - - // Compute RHS reshaped matrix address - uint rhs_offset = rhs_offset_first_element_in_bytes + (x % H0) * (uint)RHS_OFFSET_X * sizeof(DATA_TYPE) + (x / (uint)H0) * rhs_stride_y; - -#if defined(MATRIX_B_DEPTH) - // Do not slide matrix B if the matrix B has 3 dimensions and matrix A more than 3 - rhs_offset += (z % MATRIX_B_DEPTH) * rhs_stride_z; -#else // defined(MATRIX_B_DEPTH) - rhs_offset += z * rhs_stride_z; -#endif // defined(MATRIX_B_DEPTH) - - REPEAT_VAR_INIT_TO_CONST(8, uint, zlhs, 0); //uint zlhs0=0,zlhs1=0,zlhs2=0,... zlhs7=0; - REPEAT_VAR_INIT_TO_CONST(16, uint, zero, 0); - -#if defined(REINTERPRET_INPUT_AS_3D) - // The plane (zlhs) is calculated dividing M (y * M0) by HEIGHT_GEMM3D - CALCULATE_Z_OFFSET(M0, uint, zlhs, COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0), HEIGHT_GEMM3D, DEPTH_GEMM3D, lhs_cross_plane_pad, lhs_stride_y); - - // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we - // multiply lhs_stride_z by DEPTH_GEMM3D - lhs_offset += z * lhs_stride_z * DEPTH_GEMM3D; - -#else // defined(REINTERPRET_INPUT_AS_3D) - - // Add offset for batched GEMM - lhs_offset += z * lhs_stride_z; - -#endif // defined(REINTERPRET_INPUT_AS_3D) - - // Initialize the accumulators - REPEAT_VAR_INIT_TO_CONST(M0, VEC_DATA_TYPE(DATA_TYPE, N0), c, 0); //VEC_DATA_TYPE(DATA_TYPE, N0) c0=0,c1=0,c2=0,... c(M0-1)=0; - - int i = 0; - for(; i <= (K - K0); i += K0) - { - // Supported cases (M0, K0): - // 1,2 - 1,3 - 1,4 - 1,8 - 1,16 - // 2,2 - 2,3 - 2,4 - 2,8 - 2,16 - // 3,2 - 3,3 - 3,4 - 3,8 - 3,16 - // 4,2 - 4,3 - 4,4 - 4,8 - 4,16 - // 5,2 - 5,3 - 5,4 - 5,8 - 5,16 - // 6,2 - 6,3 - 6,4 - 6,8 - 6,16 - // 7,2 - 7,3 - 7,4 - 7,8 - 7,16 - // 8,2 - 8,3 - 8,4 - 8,8 - 8,16 - // Load values from LHS matrix - LOAD_BLOCK(M0, K0, DATA_TYPE, a, lhs_ptr, lhs_offset, lhs_stride_y, zlhs); - - // Load values from RHS reshaped matrix - LOAD_BLOCK(N0, K0, DATA_TYPE, b, rhs_ptr, rhs_offset, RHS_STEP_X * sizeof(DATA_TYPE), zero); - - // Accumulate - ARM_DOT_K0XN0(K0, a0, b, c0); -#if M0 > 1 - ARM_DOT_K0XN0(K0, a1, b, c1); -#endif // M0 > 1 -#if M0 > 2 - ARM_DOT_K0XN0(K0, a2, b, c2); -#endif // M0 > 2 -#if M0 > 3 - ARM_DOT_K0XN0(K0, a3, b, c3); -#endif // M0 > 3 -#if M0 > 4 - ARM_DOT_K0XN0(K0, a4, b, c4); -#endif // M0 > 4 -#if M0 > 5 - ARM_DOT_K0XN0(K0, a5, b, c5); -#endif // M0 > 5 -#if M0 > 6 - ARM_DOT_K0XN0(K0, a6, b, c6); -#endif // M0 > 6 -#if M0 > 7 - ARM_DOT_K0XN0(K0, a7, b, c7); -#endif // M0 > 7 - - lhs_offset += K0 * sizeof(DATA_TYPE); - rhs_offset += (N0 * RHS_STEP_X * RHS_STEP_LOOP) * sizeof(DATA_TYPE); - } - - // Left-over accumulations - for(; i < K; ++i) - { - // Load values from LHS matrix - LOAD_BLOCK(M0, 1, DATA_TYPE, a, lhs_ptr, lhs_offset, lhs_stride_y, zlhs); - - // Load values from RHS reshaped matrix - LOAD_BLOCK(N0, 1, DATA_TYPE, b, rhs_ptr, rhs_offset, RHS_STEP_X * sizeof(DATA_TYPE), zero); - - // Accumulate - ARM_DOT_K0XN0(1, a0, b, c0); -#if M0 > 1 - ARM_DOT_K0XN0(1, a1, b, c1); -#endif // M0 > 1 -#if M0 > 2 - ARM_DOT_K0XN0(1, a2, b, c2); -#endif // M0 > 2 -#if M0 > 3 - ARM_DOT_K0XN0(1, a3, b, c3); -#endif // M0 > 3 -#if M0 > 4 - ARM_DOT_K0XN0(1, a4, b, c4); -#endif // M0 > 4 -#if M0 > 5 - ARM_DOT_K0XN0(1, a5, b, c5); -#endif // M0 > 5 -#if M0 > 6 - ARM_DOT_K0XN0(1, a6, b, c6); -#endif // M0 > 6 -#if M0 > 7 - ARM_DOT_K0XN0(1, a7, b, c7); -#endif // M0 > 7 - - lhs_offset += sizeof(DATA_TYPE); - rhs_offset += sizeof(DATA_TYPE); - } - - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + (x * (uint)N0 * sizeof(DATA_TYPE)) + (COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0) * dst_stride_y); - - REPEAT_VAR_INIT_TO_CONST(8, uint, zout, 0); //uint zout0=0,zout1=0,zout2=0,... zout7=0; - -#if defined(REINTERPRET_OUTPUT_AS_3D) - - // The plane (zout) is calculated dividing M (y * M0) by HEIGHT_GEMM3D - CALCULATE_Z_OFFSET(M0, uint, zout, COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0), HEIGHT_GEMM3D, DEPTH_GEMM3D, dst_cross_plane_pad, dst_stride_y); - - // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we - // multiply dst_stride_z by DEPTH_GEMM3D - dst_addr += z * dst_stride_z * DEPTH_GEMM3D; - -#else // defined(REINTERPRET_OUTPUT_AS_3D) - - // Add offset for batched GEMM - dst_addr += z * dst_stride_z; - -#endif // defined(REINTERPRET_OUTPUT_AS_3D) - - // Multiply by the weight of matrix-matrix product and store the result -#if defined(ALPHA) - SCALE_BLOCK(M0, DATA_TYPE, c, ALPHA); -#endif // defined(ALPHA) - - // Add beta*bias -#if defined(BETA) -#if defined(BROADCAST_BIAS) - __global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (get_global_id(0) * (uint)N0 * sizeof(DATA_TYPE)); - - LOAD_BLOCK_BOUNDARY_AWARE(1, N0, DATA_TYPE, bias, bias_addr, 0, bias_stride_y, zero, 1, PARTIAL_STORE_N0, false, cond_x); - -#ifndef UNIT_BETA - SCALE_BLOCK(1, DATA_TYPE, bias, BETA); -#endif // UNIT_BIAS - - // c = c + bias[broadcasted] - ADD_BLOCK_BROADCAST(M0, c, bias0); - -#else // defined(BROADCAST_BIAS) - __global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (x * (uint)N0 * sizeof(DATA_TYPE)) + (COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0) * bias_stride_y) + z * bias_stride_z; - - LOAD_BLOCK_BOUNDARY_AWARE(M0, N0, DATA_TYPE, bias, bias_addr, 0, bias_stride_y, zero, PARTIAL_STORE_M0, PARTIAL_STORE_N0, cond_y, cond_x); - -#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) - - // c = act(c) - POST_OP1_ACTIVATION_OPTIONAL(M0, DATA_TYPE, DATA_TYPE_ACCUMULATOR, N0, c); - // c = c + eltwise_operand (mix-precision, broadcast, boundary aware) - POST_OP2_ELTWISE_OP(P2_ELTWISE_OP, M0, N0, c, eltwise_operand, COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0), DATA_TYPE, DATA_TYPE_ACCUMULATOR, zero, 1, PARTIAL_STORE_N0, false, cond_x); - // c = act(c) - POST_OP3_ACTIVATION_OPTIONAL(M0, DATA_TYPE, DATA_TYPE_ACCUMULATOR, N0, c); - - // Store output block - STORE_BLOCK_BOUNDARY_AWARE(M0, N0, DATA_TYPE, c, dst_addr, dst_stride_y, zout, PARTIAL_STORE_M0, PARTIAL_STORE_N0, cond_y, cond_x); - -#undef RHS_BLOCK_SIZE -#undef RHS_OFFSET_X -#undef RHS_STEP_X -} -#endif // defined(GEMM_MM_RESHAPED_ONLY_RHS_T_POST_ACT_ELTWISE_OP_ACT) - -#if defined(OPENCL_IMAGE_SUPPORT) && defined(GEMM_MM_RESHAPED_ONLY_RHS_T_TEXTURE_POST_ACT_ELTWISE_OP_ACT) -/** This OpenCL kernel computes the matrix multiplication between 2 matrices plus 3 post ops. The RHS matrix is stored in OpenCL image object. - * Post op 1: activation (optional) - * Post op 2: elementwise op - * Post op 3: activation (optional) - * - * @note (Optional) -DP1_ACTIVATION_TYPE, -DP1_ACTIVATION_A_VAL, -DP1_ACTIVATION_B_VAL: The activation type, alpha and beta values of the activation post op at slot 3 - * @note (Required) -DP2_ELTWISE_OP: The (binary) elementwise post op to perform - * @note (Required) -DP2_ELTWISE_ARG1_HEIGHT: The height (Y dimension) of the eltwise operand matrix of the eltwise post op at slot 2 - * @note (Required) -DP2_ELTWISE_ARG1_WIDTH: The width (X dimension) of the eltwise operand matrix of the eltwise post op at slot 2 - * @note (Optional) -DP3_ACTIVATION_TYPE, -DP3_ACTIVATION_A_VAL, -DP3_ACTIVATION_B_VAL: The activation type, alpha and beta values of the activation post op at slot 3 - * - * All parameters are similarly defined in kernel gemm_mm_reshaped_only_rhs_t_texture, with these additions: - * - * @param[in] eltwise_operand_ptr Pointer to the eltwise operand matrix. Supported data type: F16/F32 - * @param[in] eltwise_operand_stride_x Stride of the eltwise operand matrix in X dimension (in bytes) - * @param[in] eltwise_operand_step_x eltwise_operand_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] eltwise_operand_stride_y Stride of the eltwise operand matrix in Y dimension (in bytes) - * @param[in] eltwise_operand_step_y eltwise_operand_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] eltwise_operand_stride_z Stride of the eltwise operand tensor in Z dimension (in bytes) - * @param[in] M Number of rows in LHS matrix not reshaped. - * @param[in] N Number of columns in RHS matrix not reshaped. - * @param[in] K Number of columns in LHS matrix and rows in RHS matrix not reshaped. - */ -__kernel void gemm_mm_reshaped_only_rhs_t_texture_post_act_eltwise_op_act(IMAGE_DECLARATION(lhs), - __read_only image2d_t rhs_img, -#if defined(BETA) - IMAGE_DECLARATION(bias), -#endif // defined(BETA) - IMAGE_DECLARATION(dst), - // Post Op arguments - IMAGE_DECLARATION(eltwise_operand), - uint lhs_stride_z, - uint rhs_stride_z, -#if defined(BETA) - uint bias_stride_z, -#endif //defined(BETA) - uint dst_stride_z, - uint eltwise_operand_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 - , - const int M, - const int N, - const int K) -{ - // Pixel unit -#define PIXEL_UNIT CONVERT_VECTOR_SIZE_TO_PIXEL_UNIT(K0) - - const uint LEFTOVER_K = K % K0; - - // Block size -#define RHS_BLOCK_SIZE (PIXEL_UNIT * (N0)) - - // RHS offset and step X -#if defined(RHS_INTERLEAVE) -#define RHS_OFFSET_X (PIXEL_UNIT) -#define RHS_STEP_X (PIXEL_UNIT * (H0)) -#define RHS_STEP_LOOP (1) -#else // defined(RHS_INTERLEAVE) -#define RHS_OFFSET_X (RHS_BLOCK_SIZE) -#define RHS_STEP_X PIXEL_UNIT -#define RHS_STEP_LOOP (H0) -#endif // defined(RHS_INTERLEAVE) - - uint x = get_global_id(0); - uint y = get_global_id(1); - uint z = get_global_id(2); - - const bool cond_y = y == 0; - const bool cond_x = ((x + 1) * N0 >= N); - -#if defined(DUMMY_WORK_ITEMS) - if((x * N0 >= N) || (y * M0 >= M)) - { - return; - } -#endif // defined(DUMMY_WORK_ITEMS) - - // Compute LHS matrix address - uint lhs_offset = lhs_offset_first_element_in_bytes + COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0) * (uint)lhs_stride_y; - -#if defined(MATRIX_B_DEPTH) - // Do not slide matrix B if the matrix B has 3 dimensions and matrix A more than 3 - const uint z_rhs = (get_global_id(2) % MATRIX_B_DEPTH); -#else // defined(MATRIX_B_DEPTH) - const uint z_rhs = get_global_id(2); -#endif // defined(MATRIX_B_DEPTH) - - // Compute RHS matrix coordinates - uint x_rhs = (get_global_id(0) % H0) * (uint)RHS_OFFSET_X; - const uint y_rhs = (get_global_id(0) / (uint)H0) + z_rhs * RHS_HEIGHT; - - REPEAT_VAR_INIT_TO_CONST(M0, uint, zlhs, 0); - REPEAT_VAR_INIT_TO_CONST(16, uint, zero, 0); - -#if defined(REINTERPRET_INPUT_AS_3D) - // The plane (zlhs) is calculated dividing M (y * M0) by HEIGHT_GEMM3D - CALCULATE_Z_OFFSET(M0, uint, zlhs, COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0), HEIGHT_GEMM3D, DEPTH_GEMM3D, lhs_cross_plane_pad, lhs_stride_y); - - // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we - // multiply lhs_stride_z by DEPTH_GEMM3D - lhs_offset += z * lhs_stride_z * DEPTH_GEMM3D; - -#else // defined(REINTERPRET_INPUT_AS_3D) - - // Add offset for batched GEMM - lhs_offset += z * lhs_stride_z; - -#endif // defined(REINTERPRET_INPUT_AS_3D) - - // Initialize the accumulators - REPEAT_VAR_INIT_TO_CONST(M0, VEC_DATA_TYPE(DATA_TYPE, N0), c, 0); - - int i = 0; - for(; i <= (K - K0); i += K0) - { - // Load values from LHS matrix - LOAD_BLOCK(M0, K0, DATA_TYPE, a, lhs_ptr, lhs_offset, lhs_stride_y, zlhs); - - // Load values from RHS matrix stored in a cl_image - REPEAT_VAR_INIT_TO_CONST(N0, VEC_DATA_TYPE(DATA_TYPE, K0), b, 0); - LOAD_TEXTURE2D(N0, PIXEL_UNIT, DATA_TYPE, b, rhs_img, x_rhs, y_rhs, RHS_STEP_X, 0); - - // Accumulate - ARM_DOT_K0XN0(K0, a0, b, c0); -#if M0 > 1 - ARM_DOT_K0XN0(K0, a1, b, c1); -#endif // M0 > 1 -#if M0 > 2 - ARM_DOT_K0XN0(K0, a2, b, c2); -#endif // M0 > 2 -#if M0 > 3 - ARM_DOT_K0XN0(K0, a3, b, c3); -#endif // M0 > 3 -#if M0 > 4 - ARM_DOT_K0XN0(K0, a4, b, c4); -#endif // M0 > 4 -#if M0 > 5 - ARM_DOT_K0XN0(K0, a5, b, c5); -#endif // M0 > 5 -#if M0 > 6 - ARM_DOT_K0XN0(K0, a6, b, c6); -#endif // M0 > 6 -#if M0 > 7 - ARM_DOT_K0XN0(K0, a7, b, c7); -#endif // M0 > 7 - - lhs_offset += K0 * sizeof(DATA_TYPE); - x_rhs += N0 * RHS_STEP_X * RHS_STEP_LOOP; - } - - if(LEFTOVER_K != 0) - { - // Note: We cannot read out-of-bound elements from the RHS matrix because - // the RHS width is always multiple of K0. This is not be true for the LHS matrix - - union UNION_VEC_TYPE - { - DATA_TYPE s[K0]; - VEC_DATA_TYPE(DATA_TYPE, K0) - v; - }; - - union UNION_VEC_TYPE a0 = {.v = 0 }; -#if M0 > 1 - union UNION_VEC_TYPE a1 = {.v = 0 }; -#endif // M0 > 1 -#if M0 > 2 - union UNION_VEC_TYPE a2 = {.v = 0 }; -#endif // M0 > 2 -#if M0 > 3 - union UNION_VEC_TYPE a3 = {.v = 0 }; -#endif // M0 > 3 -#if M0 > 4 - union UNION_VEC_TYPE a4 = {.v = 0 }; -#endif // M0 > 4 -#if M0 > 5 - union UNION_VEC_TYPE a5 = {.v = 0 }; -#endif // M0 > 5 -#if M0 > 6 - union UNION_VEC_TYPE a6 = {.v = 0 }; -#endif // M0 > 6 -#if M0 > 7 - union UNION_VEC_TYPE a7 = {.v = 0 }; -#endif // M0 > 7 - - REPEAT_VAR_INIT_TO_CONST(N0, VEC_DATA_TYPE(DATA_TYPE, K0), b, 0); - - // Load from RHS matrix - LOAD_TEXTURE2D(N0, PIXEL_UNIT, DATA_TYPE, b, rhs_img, x_rhs, y_rhs, RHS_STEP_X, 0); - - // Load from LHS matrix - for(int k = 0; k < LEFTOVER_K; ++k) - { - a0.s[k] = *(__global DATA_TYPE *)(lhs_ptr + lhs_offset + 0 * lhs_stride_y + zlhs0); -#if M0 > 1 - a1.s[k] = *(__global DATA_TYPE *)(lhs_ptr + lhs_offset + 1 * lhs_stride_y + zlhs1); -#endif // M0 > 1 -#if M0 > 2 - a2.s[k] = *(__global DATA_TYPE *)(lhs_ptr + lhs_offset + 2 * lhs_stride_y + zlhs2); -#endif // M0 > 2 -#if M0 > 3 - a3.s[k] = *(__global DATA_TYPE *)(lhs_ptr + lhs_offset + 3 * lhs_stride_y + zlhs3); -#endif // M0 > 3 -#if M0 > 4 - a4.s[k] = *(__global DATA_TYPE *)(lhs_ptr + lhs_offset + 4 * lhs_stride_y + zlhs4); -#endif // M0 > 4 -#if M0 > 5 - a5.s[k] = *(__global DATA_TYPE *)(lhs_ptr + lhs_offset + 5 * lhs_stride_y + zlhs5); -#endif // M0 > 5 -#if M0 > 6 - a6.s[k] = *(__global DATA_TYPE *)(lhs_ptr + lhs_offset + 6 * lhs_stride_y + zlhs6); -#endif // M0 > 6 -#if M0 > 7 - a7.s[k] = *(__global DATA_TYPE *)(lhs_ptr + lhs_offset + 7 * lhs_stride_y + zlhs7); -#endif // M0 > 7 - - lhs_offset += sizeof(DATA_TYPE); - } - - // Accumulate - ARM_DOT_K0XN0(K0, a0.v, b, c0); -#if M0 > 1 - ARM_DOT_K0XN0(K0, a1.v, b, c1); -#endif // M0 > 1 -#if M0 > 2 - ARM_DOT_K0XN0(K0, a2.v, b, c2); -#endif // M0 > 2 -#if M0 > 3 - ARM_DOT_K0XN0(K0, a3.v, b, c3); -#endif // M0 > 3 -#if M0 > 4 - ARM_DOT_K0XN0(K0, a4.v, b, c4); -#endif // M0 > 4 -#if M0 > 5 - ARM_DOT_K0XN0(K0, a5.v, b, c5); -#endif // M0 > 5 -#if M0 > 6 - ARM_DOT_K0XN0(K0, a6.v, b, c6); -#endif // M0 > 6 -#if M0 > 7 - ARM_DOT_K0XN0(K0, a7.v, b, c7); -#endif // M0 > 7 - } - - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + (x * (uint)N0 * sizeof(DATA_TYPE)) + (COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0) * dst_stride_y); - - REPEAT_VAR_INIT_TO_CONST(M0, uint, zout, 0); //uint zout0=0,zout1=0,zout2=0,... zout7=0; - -#if defined(REINTERPRET_OUTPUT_AS_3D) - - // The plane (zout) is calculated dividing M (y * M0) by HEIGHT_GEMM3D - CALCULATE_Z_OFFSET(M0, uint, zout, COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0), HEIGHT_GEMM3D, DEPTH_GEMM3D, dst_cross_plane_pad, dst_stride_y); - - // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we - // multiply dst_stride_z by DEPTH_GEMM3D - dst_addr += z * dst_stride_z * DEPTH_GEMM3D; - -#else // defined(REINTERPRET_OUTPUT_AS_3D) - - // Add offset for batched GEMM - dst_addr += z * dst_stride_z; - -#endif // defined(REINTERPRET_OUTPUT_AS_3D) - - // Multiply by the weight of matrix-matrix product and store the result -#if defined(ALPHA) - SCALE_BLOCK(M0, DATA_TYPE, c, ALPHA); -#endif // defined(ALPHA) - - // Add beta*bias -#if defined(BETA) -#if defined(BROADCAST_BIAS) - __global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (get_global_id(0) * (uint)N0 * sizeof(DATA_TYPE)); - - LOAD_BLOCK_BOUNDARY_AWARE(1, N0, DATA_TYPE, bias, bias_addr, 0, bias_stride_y, zero, 1, PARTIAL_STORE_N0, false, cond_x); - -#ifndef UNIT_BETA - SCALE_BLOCK(1, DATA_TYPE, bias, BETA); -#endif // UNIT_BIAS - - // c = c + bias[broadcasted] - ADD_BLOCK_BROADCAST(M0, c, bias0); - -#else // defined(BROADCAST_BIAS) - __global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (x * (uint)N0 * sizeof(DATA_TYPE)) + (COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0) * bias_stride_y) + z * bias_stride_z; - - LOAD_BLOCK_BOUNDARY_AWARE(M0, N0, DATA_TYPE, bias, bias_addr, 0, bias_stride_y, zero, PARTIAL_STORE_M0, PARTIAL_STORE_N0, cond_y, cond_x); - -#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) - - // c = act(c) - POST_OP1_ACTIVATION_OPTIONAL(M0, DATA_TYPE, DATA_TYPE_ACCUMULATOR, N0, c); - // c = c + eltwise_operand (mix-precision, broadcast, boundary aware) - POST_OP2_ELTWISE_OP(P2_ELTWISE_OP, M0, N0, c, eltwise_operand, COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0), DATA_TYPE, DATA_TYPE_ACCUMULATOR, zero, 1, PARTIAL_STORE_N0, false, cond_x); - // c = act(c) - POST_OP3_ACTIVATION_OPTIONAL(M0, DATA_TYPE, DATA_TYPE_ACCUMULATOR, N0, c); - - // Store output block - STORE_BLOCK_BOUNDARY_AWARE(M0, N0, DATA_TYPE, c, dst_addr, dst_stride_y, zout, PARTIAL_STORE_M0, PARTIAL_STORE_N0, cond_y, cond_x); - -#undef RHS_BLOCK_SIZE -#undef RHS_OFFSET_X -#undef RHS_STEP_X -#undef PIXEL_UNIT -} -#endif // defined(OPENCL_IMAGE_SUPPORT) && defined(GEMM_MM_RESHAPED_ONLY_RHS_T_TEXTURE_POST_ACT_ELTWISE_OP_ACT) - -#define VFMA(a, b, c) \ - ({ \ - c = fma(a, b, c); \ - }) - -#if M0 == 1 -#define VFMA_M0xN0(i, a, b, c) \ - ({ \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \ - }) -#elif M0 == 2 // M0 == 2 -#define VFMA_M0xN0(i, a, b, c) \ - ({ \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \ - }) -#elif M0 == 3 // M0 == 3 -#define VFMA_M0xN0(i, a, b, c) \ - ({ \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##2).s##i), b, (c##2)); \ - }) -#elif M0 == 4 // M0 == 4 -#define VFMA_M0xN0(i, a, b, c) \ - ({ \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##2).s##i), b, (c##2)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##3).s##i), b, (c##3)); \ - }) -#elif M0 == 5 // M0 == 5 -#define VFMA_M0xN0(i, a, b, c) \ - ({ \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##2).s##i), b, (c##2)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##3).s##i), b, (c##3)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##4).s##i), b, (c##4)); \ - }) -#elif M0 == 6 // M0 == 6 -#define VFMA_M0xN0(i, a, b, c) \ - ({ \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##2).s##i), b, (c##2)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##3).s##i), b, (c##3)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##4).s##i), b, (c##4)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##5).s##i), b, (c##5)); \ - }) -#elif M0 == 7 // M0 == 7 -#define VFMA_M0xN0(i, a, b, c) \ - ({ \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##2).s##i), b, (c##2)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##3).s##i), b, (c##3)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##4).s##i), b, (c##4)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##5).s##i), b, (c##5)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##6).s##i), b, (c##6)); \ - }) -#elif M0 == 8 // M0 == 8 -#define VFMA_M0xN0(i, a, b, c) \ - ({ \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##2).s##i), b, (c##2)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##3).s##i), b, (c##3)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##4).s##i), b, (c##4)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##5).s##i), b, (c##5)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##6).s##i), b, (c##6)); \ - VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##7).s##i), b, (c##7)); \ - }) -#else // M0 not supported -#error "M0 not supported" -#endif // M0 not supported - -#if defined(GEMM_MM_RESHAPED_ONLY_RHS_NT_POST_ACT_ELTWISE_OP_ACT) -/** This OpenCL kernel computes the matrix multiplication between 2 matrices plus 3 post ops: - * Post op 1: activation (optional) - * Post op 2: elementwise op - * Post op 3: activation (optional) - * - * @note (Optional) -DP1_ACTIVATION_TYPE, -DP1_ACTIVATION_A_VAL, -DP1_ACTIVATION_B_VAL: The activation type, alpha and beta values of the activation post op at slot 3 - * @note (Required) -DP2_ELTWISE_OP: The (binary) elementwise post op to perform - * @note (Required) -DP2_ELTWISE_ARG1_HEIGHT: The height (Y dimension) of the eltwise operand matrix of the eltwise post op at slot 2 - * @note (Required) -DP2_ELTWISE_ARG1_WIDTH: The width (X dimension) of the eltwise operand matrix of the eltwise post op at slot 2 - * @note (Optional) -DP3_ACTIVATION_TYPE, -DP3_ACTIVATION_A_VAL, -DP3_ACTIVATION_B_VAL: The activation type, alpha and beta values of the activation post op at slot 3 - * - * All parameters are similarly defined in kernel gemm_mm_reshaped_only_rhs_nt, with these additions: - * - * @param[in] eltwise_operand_ptr Pointer to the eltwise operand matrix. Supported data type: F16/F32 - * @param[in] eltwise_operand_stride_x Stride of the eltwise operand matrix in X dimension (in bytes) - * @param[in] eltwise_operand_step_x eltwise_operand_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] eltwise_operand_stride_y Stride of the eltwise operand matrix in Y dimension (in bytes) - * @param[in] eltwise_operand_step_y eltwise_operand_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] eltwise_operand_stride_z Stride of the eltwise operand tensor in Z dimension (in bytes) - * @param[in] M Number of rows in LHS matrix not reshaped. - * @param[in] N Number of columns in RHS matrix not reshaped. - * @param[in] K Number of columns in LHS matrix and rows in RHS matrix not reshaped. - */ -__kernel void gemm_mm_reshaped_only_rhs_nt_post_act_eltwise_op_act(IMAGE_DECLARATION(lhs), - IMAGE_DECLARATION(rhs), -#if defined(BETA) - IMAGE_DECLARATION(bias), -#endif // defined(BETA) - IMAGE_DECLARATION(dst), - // Post Op arguments - IMAGE_DECLARATION(eltwise_operand), - uint lhs_stride_z, - uint rhs_stride_z, -#if defined(BETA) - uint bias_stride_z, -#endif //defined(BETA) - uint dst_stride_z, - uint eltwise_operand_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 - , - const int M, - const int N, - const int K) -{ - // 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); - - const bool cond_y = y == 0; - const bool cond_x = ((x + 1) * N0 >= N); - -#if defined(DUMMY_WORK_ITEMS) - if((x * N0 >= N) || (y * M0 >= M)) - { - return; - } -#endif // defined(DUMMY_WORK_ITEMS) - - // Compute LHS matrix address - uint lhs_offset = lhs_offset_first_element_in_bytes + COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0) * (uint)lhs_stride_y; - - // Compute RHS reshaped matrix address - uint rhs_offset = rhs_offset_first_element_in_bytes + (x % H0) * (uint)RHS_OFFSET_X * sizeof(DATA_TYPE) + (x / (uint)H0) * rhs_stride_y; - -#if defined(MATRIX_B_DEPTH) - // Do not slide matrix B if the matrix B has 3 dimensions and matrix A more than 3 - rhs_offset += (z % MATRIX_B_DEPTH) * rhs_stride_z; -#else // defined(MATRIX_B_DEPTH) - rhs_offset += z * rhs_stride_z; -#endif // defined(MATRIX_B_DEPTH) - - REPEAT_VAR_INIT_TO_CONST(8, uint, zin, 0); //uint zin0=0,zin1=0,zin2=0,... zin7=0; - REPEAT_VAR_INIT_TO_CONST(16, uint, zero, 0); //uint zero0=0,zero1=0,zero2=0,... zero7=0; - -#if defined(REINTERPRET_INPUT_AS_3D) - - // The plane (zin) is calculated dividing M (y * M0) by HEIGHT_GEMM3D - CALCULATE_Z_OFFSET(M0, uint, zin, COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0), HEIGHT_GEMM3D, DEPTH_GEMM3D, lhs_cross_plane_pad, lhs_stride_y); - - // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we - // multiply lhs_stride_z by DEPTH_GEMM3D - lhs_offset += z * lhs_stride_z * DEPTH_GEMM3D; - -#else // defined(REINTERPRET_INPUT_AS_3D) - - // Add offset for batched GEMM - lhs_offset += z * lhs_stride_z; - -#endif // defined(REINTERPRET_INPUT_AS_3D) - - // Initialize the accumulators - REPEAT_VAR_INIT_TO_CONST(M0, VEC_DATA_TYPE(DATA_TYPE, N0), c, 0); //VEC_DATA_TYPE(DATA_TYPE, N0) c0=0,c1=0,c2=0,... c(N0-1)=0; - - int i = 0; - for(; i <= (K - K0); i += K0) - { - // Supported cases (M0, K0): - // 1,2 - 1,3 - 1,4 - 1,8 - 1,16 - // 2,2 - 2,3 - 2,4 - 2,8 - 2,16 - // 3,2 - 3,3 - 3,4 - 3,8 - 3,16 - // 4,2 - 4,3 - 4,4 - 4,8 - 4,16 - // 5,2 - 5,3 - 5,4 - 5,8 - 5,16 - // 6,2 - 6,3 - 6,4 - 6,8 - 6,16 - // 7,2 - 7,3 - 7,4 - 7,8 - 7,16 - // 8,2 - 8,3 - 8,4 - 8,8 - 8,16 - // Load values from LHS matrix - LOAD_BLOCK(M0, K0, DATA_TYPE, a, lhs_ptr, lhs_offset, lhs_stride_y, zin); - - VEC_DATA_TYPE(DATA_TYPE, N0) - b0; - - b0 = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 0 * RHS_STEP_X * sizeof(DATA_TYPE))); - VFMA_M0xN0(0, a, b0, c); - b0 = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 1 * RHS_STEP_X * sizeof(DATA_TYPE))); - VFMA_M0xN0(1, a, b0, c); -#if K0 > 2 - b0 = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 2 * RHS_STEP_X * sizeof(DATA_TYPE))); - VFMA_M0xN0(2, a, b0, c); -#endif // K0 > 2 -#if K0 > 3 - b0 = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 3 * RHS_STEP_X * sizeof(DATA_TYPE))); - VFMA_M0xN0(3, a, b0, c); -#endif // K0 > 3 -#if K0 > 4 - b0 = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 4 * RHS_STEP_X * sizeof(DATA_TYPE))); - VFMA_M0xN0(4, a, b0, c); - b0 = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 5 * RHS_STEP_X * sizeof(DATA_TYPE))); - VFMA_M0xN0(5, a, b0, c); - b0 = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 6 * RHS_STEP_X * sizeof(DATA_TYPE))); - VFMA_M0xN0(6, a, b0, c); - b0 = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 7 * RHS_STEP_X * sizeof(DATA_TYPE))); - VFMA_M0xN0(7, a, b0, c); -#endif // K0 > 4 -#if K0 > 8 - b0 = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 8 * RHS_STEP_X * sizeof(DATA_TYPE))); - VFMA_M0xN0(8, a, b0, c); - b0 = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 9 * RHS_STEP_X * sizeof(DATA_TYPE))); - VFMA_M0xN0(9, a, b0, c); - b0 = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 10 * RHS_STEP_X * sizeof(DATA_TYPE))); - VFMA_M0xN0(A, a, b0, c); - b0 = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 11 * RHS_STEP_X * sizeof(DATA_TYPE))); - VFMA_M0xN0(B, a, b0, c); - b0 = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 12 * RHS_STEP_X * sizeof(DATA_TYPE))); - VFMA_M0xN0(C, a, b0, c); - b0 = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 13 * RHS_STEP_X * sizeof(DATA_TYPE))); - VFMA_M0xN0(D, a, b0, c); - b0 = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 14 * RHS_STEP_X * sizeof(DATA_TYPE))); - VFMA_M0xN0(E, a, b0, c); - b0 = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 15 * RHS_STEP_X * sizeof(DATA_TYPE))); - VFMA_M0xN0(F, a, b0, c); -#endif // K0 > 8 - - lhs_offset += K0 * sizeof(DATA_TYPE); - rhs_offset += K0 * RHS_STEP_X * RHS_STEP_LOOP * sizeof(DATA_TYPE); - } - - // Left-over accumulations - for(; i < K; ++i) - { - // Load values from LHS matrix - VEC_DATA_TYPE(DATA_TYPE, 2) - a0 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 0 * lhs_stride_y + zin0)); -#if M0 > 1 - VEC_DATA_TYPE(DATA_TYPE, 2) - a1 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 1 * lhs_stride_y + zin1)); -#endif // M0 > 1 -#if M0 > 2 - VEC_DATA_TYPE(DATA_TYPE, 2) - a2 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 2 * lhs_stride_y + zin2)); -#endif // M0 > 2 -#if M0 > 3 - VEC_DATA_TYPE(DATA_TYPE, 2) - a3 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 3 * lhs_stride_y + zin3)); -#endif // M0 > 3 -#if M0 > 4 - VEC_DATA_TYPE(DATA_TYPE, 2) - a4 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 4 * lhs_stride_y + zin4)); -#endif // M0 > 4 -#if M0 > 5 - VEC_DATA_TYPE(DATA_TYPE, 2) - a5 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 5 * lhs_stride_y + zin5)); -#endif // M0 > 5 -#if M0 > 6 - VEC_DATA_TYPE(DATA_TYPE, 2) - a6 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 6 * lhs_stride_y + zin6)); -#endif // M0 > 6 -#if M0 > 7 - VEC_DATA_TYPE(DATA_TYPE, 2) - a7 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 7 * lhs_stride_y + zin7)); -#endif // M0 > 7 - - VEC_DATA_TYPE(DATA_TYPE, N0) - b0; - - b0 = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 0 * RHS_STEP_X * sizeof(DATA_TYPE))); - VFMA_M0xN0(0, a, b0, c); - - lhs_offset += sizeof(DATA_TYPE); - rhs_offset += RHS_STEP_X * sizeof(DATA_TYPE); - } - - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + (x * (uint)N0 * sizeof(DATA_TYPE)) + (COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0) * dst_stride_y); - - REPEAT_VAR_INIT_TO_CONST(8, uint, zout, 0); //uint zout0=0,zout1=0,zout2=0,... zout7=0; - -#if defined(REINTERPRET_OUTPUT_AS_3D) - // The plane (zout) is calculated dividing M (y * M0) by HEIGHT_GEMM3D - CALCULATE_Z_OFFSET(M0, uint, zout, COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0), HEIGHT_GEMM3D, DEPTH_GEMM3D, dst_cross_plane_pad, dst_stride_y); - - // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we - // multiply dst_stride_z by DEPTH_GEMM3D - dst_addr += z * dst_stride_z * DEPTH_GEMM3D; - -#else // defined(REINTERPRET_OUTPUT_AS_3D) - - // Add offset for batched GEMM - dst_addr += z * dst_stride_z; - -#endif // defined(REINTERPRET_OUTPUT_AS_3D) - - // Multiply by the weight of matrix-matrix product and store the result -#if defined(ALPHA) - SCALE_BLOCK(M0, DATA_TYPE, c, ALPHA); -#endif // defined(ALPHA) - - // Add beta*bias -#if defined(BETA) -#if defined(BROADCAST_BIAS) - __global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (get_global_id(0) * (uint)N0 * sizeof(DATA_TYPE)); - - LOAD_BLOCK_BOUNDARY_AWARE(1, N0, DATA_TYPE, bias, bias_addr, 0, bias_stride_y, zero, 1, PARTIAL_STORE_N0, false, cond_x); - -#ifndef UNIT_BETA - SCALE_BLOCK(1, DATA_TYPE, bias, BETA); -#endif // UNIT_BIAS - - // c = c + bias[broadcasted] - ADD_BLOCK_BROADCAST(M0, c, bias0); - -#else // defined(BROADCAST_BIAS) - __global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (x * (uint)N0 * sizeof(DATA_TYPE)) + (COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0) * bias_stride_y) + z * bias_stride_z; - - LOAD_BLOCK_BOUNDARY_AWARE(M0, N0, DATA_TYPE, bias, bias_addr, 0, bias_stride_y, zero, PARTIAL_STORE_M0, PARTIAL_STORE_N0, cond_y, cond_x); - -#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) - - // c = act(c) - POST_OP1_ACTIVATION_OPTIONAL(M0, DATA_TYPE, DATA_TYPE_ACCUMULATOR, N0, c); - // c = c + eltwise_operand (mix-precision, broadcast, boundary aware) - POST_OP2_ELTWISE_OP(P2_ELTWISE_OP, M0, N0, c, eltwise_operand, COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0), DATA_TYPE, DATA_TYPE_ACCUMULATOR, zero, 1, PARTIAL_STORE_N0, false, cond_x); - // c = act(c) - POST_OP3_ACTIVATION_OPTIONAL(M0, DATA_TYPE, DATA_TYPE_ACCUMULATOR, N0, c); - - // Store output block - STORE_BLOCK_BOUNDARY_AWARE(M0, N0, DATA_TYPE, c, dst_addr, dst_stride_y, zout, PARTIAL_STORE_M0, PARTIAL_STORE_N0, cond_y, cond_x); - -#undef RHS_BLOCK_SIZE -#undef RHS_OFFSET_X -#undef RHS_STEP_X -#undef RHS_STEP_LOOP -} -#endif // defined(GEMM_MM_RESHAPED_ONLY_RHS_NT_POST_ACT_ELTWISE_OP_ACT) - -#if defined(OPENCL_IMAGE_SUPPORT) && defined(GEMM_MM_RESHAPED_ONLY_RHS_NT_TEXTURE_POST_ACT_ELTWISE_OP_ACT) -/** This OpenCL kernel computes the matrix multiplication between 2 matrices plus 3 post ops. The RHS matrix is stored in OpenCL image object. - * Post op 1: activation (optional) - * Post op 2: elementwise op - * Post op 3: activation (optional) - * - * @note (Optional) -DP1_ACTIVATION_TYPE, -DP1_ACTIVATION_A_VAL, -DP1_ACTIVATION_B_VAL: The activation type, alpha and beta values of the activation post op at slot 3 - * @note (Required) -DP2_ELTWISE_OP: The (binary) elementwise post op to perform - * @note (Required) -DP2_ELTWISE_ARG1_HEIGHT: The height (Y dimension) of the eltwise operand matrix of the eltwise post op at slot 2 - * @note (Required) -DP2_ELTWISE_ARG1_WIDTH: The width (X dimension) of the eltwise operand matrix of the eltwise post op at slot 2 - * @note (Optional) -DP3_ACTIVATION_TYPE, -DP3_ACTIVATION_A_VAL, -DP3_ACTIVATION_B_VAL: The activation type, alpha and beta values of the activation post op at slot 3 - * - * All parameters are similarly defined in kernel gemm_mm_reshaped_only_rhs_nt_texture, with these additions: - * - * @param[in] eltwise_operand_ptr Pointer to the eltwise operand matrix. Supported data type: F16/F32 - * @param[in] eltwise_operand_stride_x Stride of the eltwise operand matrix in X dimension (in bytes) - * @param[in] eltwise_operand_step_x eltwise_operand_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] eltwise_operand_stride_y Stride of the eltwise operand matrix in Y dimension (in bytes) - * @param[in] eltwise_operand_step_y eltwise_operand_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] eltwise_operand_stride_z Stride of the eltwise operand tensor in Z dimension (in bytes) - * @param[in] M Number of rows in LHS matrix not reshaped. - * @param[in] N Number of columns in RHS matrix not reshaped. - * @param[in] K Number of columns in LHS matrix and rows in RHS matrix not reshaped. - */ -__kernel void gemm_mm_reshaped_only_rhs_nt_texture_post_act_eltwise_op_act(IMAGE_DECLARATION(lhs), - __read_only image2d_t rhs_img, -#if defined(BETA) - IMAGE_DECLARATION(bias), -#endif // defined(BETA) - IMAGE_DECLARATION(dst), - // Post Op arguments - IMAGE_DECLARATION(eltwise_operand), - uint lhs_stride_z, - uint rhs_stride_z, -#if defined(BETA) - uint bias_stride_z, -#endif //defined(BETA) - uint dst_stride_z, - uint eltwise_operand_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 - , - const int M, - const int N, - const int K) -{ - // Pixel unit -#define PIXEL_UNIT CONVERT_VECTOR_SIZE_TO_PIXEL_UNIT(N0) - - // Block size -#define RHS_BLOCK_SIZE ((K0) * (PIXEL_UNIT)) - - // RHS offset and step X -#if defined(RHS_INTERLEAVE) -#define RHS_OFFSET_X (PIXEL_UNIT) -#define RHS_STEP_X ((PIXEL_UNIT) * (H0)) -#define RHS_STEP_LOOP (1) -#else // defined(RHS_INTERLEAVE) -#define RHS_OFFSET_X (RHS_BLOCK_SIZE) -#define RHS_STEP_X (PIXEL_UNIT) -#define RHS_STEP_LOOP (H0) -#endif // defined(RHS_INTERLEAVE) - - uint x = get_global_id(0); - uint y = get_global_id(1); - uint z = get_global_id(2); - - const bool cond_y = y == 0; - const bool cond_x = ((x + 1) * N0 >= N); - -#if defined(DUMMY_WORK_ITEMS) - if((x * N0 >= N) || (y * M0 >= M)) - { - return; - } -#endif // defined(DUMMY_WORK_ITEMS) - - // Compute LHS matrix address - uint lhs_offset = lhs_offset_first_element_in_bytes + COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0) * (uint)lhs_stride_y; - -#if defined(MATRIX_B_DEPTH) - // Do not slide matrix B if the matrix B has 3 dimensions and matrix A more than 3 - const uint z_rhs = (z % MATRIX_B_DEPTH); -#else // defined(MATRIX_B_DEPTH) - const uint z_rhs = z; -#endif // defined(MATRIX_B_DEPTH) - - // Compute RHS matrix coordinates - uint x_rhs = (x % H0) * (uint)RHS_OFFSET_X; - const uint y_rhs = (x / (uint)H0) + z_rhs * RHS_HEIGHT; - - REPEAT_VAR_INIT_TO_CONST(8, uint, zin, 0); - REPEAT_VAR_INIT_TO_CONST(16, uint, zero, 0); - -#if defined(REINTERPRET_INPUT_AS_3D) - - // The plane (zin) is calculated dividing M (y * M0) by HEIGHT_GEMM3D - CALCULATE_Z_OFFSET(M0, uint, zin, COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0), HEIGHT_GEMM3D, DEPTH_GEMM3D, lhs_cross_plane_pad, lhs_stride_y); - - // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we - // multiply lhs_stride_z by DEPTH_GEMM3D - lhs_offset += z * lhs_stride_z * DEPTH_GEMM3D; - -#else // defined(REINTERPRET_INPUT_AS_3D) - - // Add offset for batched GEMM - lhs_offset += z * lhs_stride_z; - -#endif // defined(REINTERPRET_INPUT_AS_3D) - - // Initialize the accumulators - REPEAT_VAR_INIT_TO_CONST(M0, VEC_DATA_TYPE(DATA_TYPE, N0), c, 0); - - int i = 0; - for(; i <= (K - K0); i += K0) - { - // Load values from LHS matrix - LOAD_BLOCK(M0, K0, DATA_TYPE, a, lhs_ptr, lhs_offset, lhs_stride_y, zin); - - VEC_DATA_TYPE(DATA_TYPE, N0) - b0; - - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 0 * RHS_STEP_X), (y_rhs)); - VFMA_M0xN0(0, a, b0, c); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 1 * RHS_STEP_X), (y_rhs)); - VFMA_M0xN0(1, a, b0, c); -#if K0 > 2 - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 2 * RHS_STEP_X), (y_rhs)); - VFMA_M0xN0(2, a, b0, c); -#endif // K0 > 2 -#if K0 > 3 - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 3 * RHS_STEP_X), (y_rhs)); - VFMA_M0xN0(3, a, b0, c); -#endif // K0 > 3 -#if K0 > 4 - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 4 * RHS_STEP_X), (y_rhs)); - VFMA_M0xN0(4, a, b0, c); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 5 * RHS_STEP_X), (y_rhs)); - VFMA_M0xN0(5, a, b0, c); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 6 * RHS_STEP_X), (y_rhs)); - VFMA_M0xN0(6, a, b0, c); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 7 * RHS_STEP_X), (y_rhs)); - VFMA_M0xN0(7, a, b0, c); -#endif // K0 > 4 -#if K0 > 8 - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 8 * RHS_STEP_X), (y_rhs)); - VFMA_M0xN0(8, a, b0, c); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 9 * RHS_STEP_X), (y_rhs)); - VFMA_M0xN0(9, a, b0, c); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 10 * RHS_STEP_X), (y_rhs)); - VFMA_M0xN0(A, a, b0, c); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 11 * RHS_STEP_X), (y_rhs)); - VFMA_M0xN0(B, a, b0, c); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 12 * RHS_STEP_X), (y_rhs)); - VFMA_M0xN0(C, a, b0, c); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 13 * RHS_STEP_X), (y_rhs)); - VFMA_M0xN0(D, a, b0, c); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 14 * RHS_STEP_X), (y_rhs)); - VFMA_M0xN0(E, a, b0, c); - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 15 * RHS_STEP_X), (y_rhs)); - VFMA_M0xN0(F, a, b0, c); -#endif // K0 > 8 - - lhs_offset += K0 * sizeof(DATA_TYPE); - x_rhs += K0 * RHS_STEP_X * RHS_STEP_LOOP; - } - - // Left-over accumulations - for(; i < K; ++i) - { - // Load values from LHS matrix - VEC_DATA_TYPE(DATA_TYPE, 2) - a0 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 0 * lhs_stride_y + zin0)); -#if M0 > 1 - VEC_DATA_TYPE(DATA_TYPE, 2) - a1 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 1 * lhs_stride_y + zin1)); -#endif // M0 > 1 -#if M0 > 2 - VEC_DATA_TYPE(DATA_TYPE, 2) - a2 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 2 * lhs_stride_y + zin2)); -#endif // M0 > 2 -#if M0 > 3 - VEC_DATA_TYPE(DATA_TYPE, 2) - a3 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 3 * lhs_stride_y + zin3)); -#endif // M0 > 3 -#if M0 > 4 - VEC_DATA_TYPE(DATA_TYPE, 2) - a4 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 4 * lhs_stride_y + zin4)); -#endif // M0 > 4 -#if M0 > 5 - VEC_DATA_TYPE(DATA_TYPE, 2) - a5 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 5 * lhs_stride_y + zin5)); -#endif // M0 > 5 -#if M0 > 6 - VEC_DATA_TYPE(DATA_TYPE, 2) - a6 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 6 * lhs_stride_y + zin6)); -#endif // M0 > 6 -#if M0 > 7 - VEC_DATA_TYPE(DATA_TYPE, 2) - a7 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 7 * lhs_stride_y + zin7)); -#endif // M0 > 7 - - VEC_DATA_TYPE(DATA_TYPE, N0) - b0; - b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 0 * RHS_STEP_X), (y_rhs)); - - VFMA_M0xN0(0, a, b0, c); - - lhs_offset += sizeof(DATA_TYPE); - x_rhs += RHS_STEP_X; - } - - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + (x * (uint)N0 * sizeof(DATA_TYPE)) + (COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0) * dst_stride_y); - - REPEAT_VAR_INIT_TO_CONST(8, uint, zout, 0); //uint zout0=0,zout1=0,zout2=0,... zout7=0; - -#if defined(REINTERPRET_OUTPUT_AS_3D) - // The plane (zout) is calculated dividing M (y * M0) by HEIGHT_GEMM3D - CALCULATE_Z_OFFSET(M0, uint, zout, COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0), HEIGHT_GEMM3D, DEPTH_GEMM3D, dst_cross_plane_pad, dst_stride_y); - - // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we - // multiply dst_stride_z by DEPTH_GEMM3D - dst_addr += z * dst_stride_z * DEPTH_GEMM3D; - -#else // defined(REINTERPRET_OUTPUT_AS_3D) - - // Add offset for batched GEMM - dst_addr += z * dst_stride_z; - -#endif // defined(REINTERPRET_OUTPUT_AS_3D) - - // Multiply by the weight of matrix-matrix product and store the result -#if defined(ALPHA) - SCALE_BLOCK(M0, DATA_TYPE, c, ALPHA); -#endif // defined(ALPHA) - - // Add beta*bias -#if defined(BETA) -#if defined(BROADCAST_BIAS) - __global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (get_global_id(0) * (uint)N0 * sizeof(DATA_TYPE)); - - LOAD_BLOCK_BOUNDARY_AWARE(1, N0, DATA_TYPE, bias, bias_addr, 0, bias_stride_y, zero, 1, PARTIAL_STORE_N0, false, cond_x); - -#ifndef UNIT_BETA - SCALE_BLOCK(1, DATA_TYPE, bias, BETA); -#endif // UNIT_BIAS - - // c = c + bias[broadcasted] - ADD_BLOCK_BROADCAST(M0, c, bias0); - -#else // defined(BROADCAST_BIAS) - __global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (x * (uint)N0 * sizeof(DATA_TYPE)) + (COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0) * bias_stride_y) + z * bias_stride_z; - - LOAD_BLOCK_BOUNDARY_AWARE(M0, N0, DATA_TYPE, bias, bias_addr, 0, bias_stride_y, zero, PARTIAL_STORE_M0, PARTIAL_STORE_N0, cond_y, cond_x); - -#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) - - // c = act(c) - POST_OP1_ACTIVATION_OPTIONAL(M0, DATA_TYPE, DATA_TYPE_ACCUMULATOR, N0, c); - // c = c + eltwise_operand (mix-precision, broadcast, boundary aware) - POST_OP2_ELTWISE_OP(P2_ELTWISE_OP, M0, N0, c, eltwise_operand, COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0), DATA_TYPE, DATA_TYPE_ACCUMULATOR, zero, 1, PARTIAL_STORE_N0, false, cond_x); - // c = act(c) - POST_OP3_ACTIVATION_OPTIONAL(M0, DATA_TYPE, DATA_TYPE_ACCUMULATOR, N0, c); - - // Store output block - STORE_BLOCK_BOUNDARY_AWARE(M0, N0, DATA_TYPE, c, dst_addr, dst_stride_y, zout, PARTIAL_STORE_M0, PARTIAL_STORE_N0, cond_y, cond_x); - -#undef RHS_BLOCK_SIZE -#undef RHS_OFFSET_X -#undef RHS_STEP_X -#undef RHS_STEP_LOOP -} -#endif // defined(OPENCL_IMAGE_SUPPORT) && defined(GEMM_MM_RESHAPED_ONLY_RHS_NT_TEXTURE_POST_ACT_ELTWISE_OP_ACT) -#endif // defined(P2_ELTWISE_OP) && defined(P2_ELTWISE_ARG1_HEIGHT) && defined(P2_ELTWISE_ARG1_WIDTH) -#endif // defined(M0) && defined(N0) && defined(K0) && defined(H0) && defined(DATA_TYPE) |