| /* |
| * 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) |
