| /* |
| * Copyright (c) 2017-2022 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 "gemm_helpers.h" |
| #include "repeat.h" |
| |
| #if defined(M0) && defined(N0) && defined(K0) && defined(H0) && defined(DATA_TYPE) |
| |
| #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) |
| /** This OpenCL kernel computes the matrix multiplication between 2 matrices. |
| * The LHS matrix is NOT reshaped |
| * The RHS is reshaped with @ref CLGEMMReshapeRHSMatrixKernel and the block K0xN0 is transposed |
| * |
| * @note If the first two dimensions of NDRange have been dispatched with "dummy_work_items" support, the option -DDUMMY_WORK_ITEMS must be passed at compile time. |
| * @note The GEMM's dimensions (M,N and K) must be passed at runtime as kernel parameters. |
| * @note The block's dimensions used for reshaping the RHS matrix (N0 and K0) must be passed at compile time using -DN0 and -DK0 (e.g. -DN0=8, -DK0=4). |
| * @note The number of M0 rows to process must be passed at compile time using -DM0 (e.g. -DM0=2) |
| * @note The number of K0xN0 horizontal blocks stored on the same output row of the reshaped RHS matrix must be passed at compile time using -DH0 (e.g. -DH0=2) |
| * @note If the K0xN0 blocks in the reshaped RHS matrix have been interleaved, the option -DRHS_INTERLEAVE must passed at compile time. |
| * @note The size of the partial store block in y must be passed at compile time using -DPARTIAL_STORE_M0 (e.g. -DPARTIAL_STORE_M0=1) |
| * @note The size of the partial store block in x must be passed at compile time using -DPARTIAL_STORE_N0 (e.g. -DPARTIAL_STORE_N0=1) |
| * @note Only the following configurations of M0, N0 and K0 are currently supported: |
| * - M0 = 1, 2, 3, 4, 5, 6, 7, 8 |
| * - N0 = 2, 3, 4, 8, 16 |
| * - K0 = 2, 3, 4, 8, 16 |
| * - H0 >= 1 |
| * |
| * @note If the activation type were passed at compile time through -DACTIVATION_TYPE (e.g. -DACTIVATION_TYPE=RELU), A, B variables, required by some activation functions, should be passed at compile time as well using -DA_VAL= and -DB_VAL= respectively. |
| * The activation function is performed after the bias addition |
| * @note In case the input or output have to be reinterpreted as a 3D tensor, the following information must be passed at compile time: |
| * -# REINTERPRET_INPUT_AS_3D: To reinterpret the input as 3D |
| * -# REINTERPRET_OUTPUT_AS_3D: To reinterpret the output as 3D |
| * -# HEIGHT_GEMM3D: The height of the output in case it has to be reinterpreted as a 3D tensor. |
| * -# DEPTH_GEMM3D: The depth of the output in case it has to be reinterpreted as a 3D tensor |
| * (HEIGHT_GEMM3D * DEPTH_GEMM3D) = columns LHS matrix |
| * |
| * @param[in] lhs_ptr Pointer to the LHS matrix. Supported data type: F16/F32 |
| * @param[in] lhs_stride_x Stride of the LHS matrix in X dimension (in bytes) |
| * @param[in] lhs_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] lhs_stride_y Stride of the LHS matrix in Y dimension (in bytes) |
| * @param[in] lhs_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] lhs_offset_first_element_in_bytes The offset of the first element in the LHS matrix |
| * @param[in] rhs_ptr Pointer to the RHS reshaped matrix. Supported data type: same as @p lhs_ptr |
| * @param[in] rhs_stride_x Stride of the RHS reshaped matrix in X dimension (in bytes) |
| * @param[in] rhs_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] rhs_stride_y Stride of the RHS reshaped matrix in Y dimension (in bytes) |
| * @param[in] rhs_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] rhs_offset_first_element_in_bytes The offset of the first element in the RHS reshaped matrix |
| * @param[in] bias_ptr (Optional) Pointer to the bias matrix. Supported data type: same as @p lhs_ptr |
| * @param[in] bias_stride_x (Optional) Stride of the bias matrix in X dimension (in bytes) |
| * @param[in] bias_step_x (Optional) bias_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] bias_stride_y (Optional) Stride of the bias matrix in Y dimension (in bytes) |
| * @param[in] bias_step_y (Optional) bias_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] bias_offset_first_element_in_bytes (Optional) The offset of the first element in the bias matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data type: same as @p lhs_ptr |
| * @param[in] dst_stride_x Stride of the destination matrix in X dimension (in bytes) |
| * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination matrix in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination matrix |
| * @param[in] lhs_stride_z Stride of the LHS matrix in Z dimension (in bytes) |
| * @param[in] rhs_stride_z Stride of the RHS reshaped matrix in Z dimension (in bytes) |
| * @param[in] bias_stride_z (Optional) Stride of the bias matrix in Z dimension (in bytes) |
| * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| * @param[in] lhs_cross_plane_pad (Optional) Bottom paddings for LHS matrix in unit of elements (only if defined REINTERPRET_INPUT_AS_3D) |
| * @param[in] dst_cross_plane_pad (Optional) Bottom paddings for the output matrix in unit of elements (only if defined REINTERPRET_OUTPUT_AS_3D) |
| * @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(IMAGE_DECLARATION(lhs), |
| IMAGE_DECLARATION(rhs), |
| #if defined(BETA) |
| IMAGE_DECLARATION(bias), |
| #endif // defined(BETA) |
| IMAGE_DECLARATION(dst), |
| uint lhs_stride_z, |
| uint rhs_stride_z, |
| #if defined(BETA) |
| uint bias_stride_z, |
| #endif //defined(BETA) |
| uint dst_stride_z |
| #if defined(REINTERPRET_INPUT_AS_3D) |
| , |
| uint lhs_cross_plane_pad |
| #endif // REINTERPRET_INPUT_AS_3D |
| #if defined(REINTERPRET_OUTPUT_AS_3D) |
| , |
| uint dst_cross_plane_pad |
| #endif // REINTERPRET_OUTPUT_AS_3D |
| , |
| 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) |
| |
| #if defined(ACTIVATION_TYPE) |
| ACTIVATION_BLOCK(M0, ACTIVATION_TYPE, DATA_TYPE, N0, c, A_VAL, B_VAL); |
| #endif // defined(ACTIVATION_TYPE) |
| |
| // 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_T) |
| |
| #if defined(OPENCL_IMAGE_SUPPORT) && defined(GEMM_MM_RESHAPED_ONLY_RHS_T_TEXTURE) |
| /** This OpenCL kernel computes the matrix multiplication between 2 matrices. The RHS matrix is stored in OpenCL image |
| * The LHS matrix is NOT reshaped |
| * The RHS is reshaped with @ref CLGEMMReshapeRHSMatrixKernel and the block K0xN0 is transposed |
| * |
| * @note -DOPENCL_IMAGE_SUPPORT must be passed at compile time in order to compile this OpenCL kernel |
| * @note If the first two dimensions of NDRange have been dispatched with "dummy_work_items" support, the option -DDUMMY_WORK_ITEMS must be passed at compile time. |
| * @note The GEMM's dimensions (M,N and K) must be passed at runtime as kernel parameters. |
| * @note The height of the RHS matrix, defined before creating the OpenCL image object from the OpenCL buffer, should be passed at compile time using -DRHS_HEIGHT=<value> (e.g. -DRHS_HEIGHT=32) |
| * Since we cannot create a 3d image from a buffer, the third dimension could be collapsed with the second dimension so RHS_HEIGHT |
| * could be different from the value returned by get_image_height(rhs_img). |
| * @note The block's dimensions used for reshaping the RHS matrix (N0 and K0) must be passed at compile time using -DN0 and -DK0 (e.g. -DN0=8, -DK0=4). |
| * @note The number of M0 rows to process must be passed at compile time using -DM0 (e.g. -DM0=2) |
| * @note The number of K0xN0 horizontal blocks stored on the same output row of the reshaped RHS matrix must be passed at compile time using -DH0 (e.g. -DH0=2) |
| * @note If the K0xN0 blocks in the reshaped RHS matrix have been interleaved, the option -DRHS_INTERLEAVE must passed at compile time. |
| * @note The size of the partial store block in y must be passed at compile time using -DPARTIAL_STORE_M0 (e.g. -DPARTIAL_STORE_M0=1) |
| * @note The size of the partial store block in x must be passed at compile time using -DPARTIAL_STORE_N0 (e.g. -DPARTIAL_STORE_N0=1) |
| * @note Only the following configurations of M0, N0 and K0 are currently supported: |
| * - M0 = 1, 2, 3, 4, 5, 6, 7, 8 |
| * - N0 = 4, 8, 16 |
| * - K0 = 4, 8, 16 |
| * - H0 >= 1 |
| * |
| * @note If the activation type were passed at compile time through -DACTIVATION_TYPE (e.g. -DACTIVATION_TYPE=RELU), A, B variables, required by some activation functions, should be passed at compile time as well using -DA_VAL= and -DB_VAL= respectively. |
| * The activation function is performed after the bias addition |
| * @note In case the input or output have to be reinterpreted as a 3D tensor, the following information must be passed at compile time: |
| * -# REINTERPRET_INPUT_AS_3D: To reinterpret the input as 3D |
| * -# REINTERPRET_OUTPUT_AS_3D: To reinterpret the output as 3D |
| * -# HEIGHT_GEMM3D: The height of the output in case it has to be reinterpreted as a 3D tensor. |
| * -# DEPTH_GEMM3D: The depth of the output in case it has to be reinterpreted as a 3D tensor |
| * (HEIGHT_GEMM3D * DEPTH_GEMM3D) = columns LHS matrix |
| * |
| * @param[in] lhs_ptr Pointer to the LHS matrix. Supported data type: F32 |
| * @param[in] lhs_stride_x Stride of the LHS matrix in X dimension (in bytes) |
| * @param[in] lhs_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] lhs_stride_y Stride of the LHS matrix in Y dimension (in bytes) |
| * @param[in] lhs_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] lhs_offset_first_element_in_bytes The offset of the first element in the LHS matrix |
| * @param[in] rhs_img The RHS reshaped matrix as OpenCL image object. Supported data type: same as @p lhs_ptr |
| * @param[in] bias_ptr (Optional) Pointer to the bias matrix. Supported data type: same as @p lhs_ptr |
| * @param[in] bias_stride_x (Optional) Stride of the bias matrix in X dimension (in bytes) |
| * @param[in] bias_step_x (Optional) bias_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] bias_stride_y (Optional) Stride of the bias matrix in Y dimension (in bytes) |
| * @param[in] bias_step_y (Optional) bias_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] bias_offset_first_element_in_bytes (Optional) The offset of the first element in the bias matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data type: same as @p lhs_ptr |
| * @param[in] dst_stride_x Stride of the destination matrix in X dimension (in bytes) |
| * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination matrix in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination matrix |
| * @param[in] lhs_stride_z Stride of the LHS matrix in Z dimension (in bytes) |
| * @param[in] rhs_stride_z Stride of the RHS reshaped matrix in Z dimension (in bytes) |
| * @param[in] bias_stride_z (Optional) Stride of the bias matrix in Z dimension (in bytes) |
| * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| * @param[in] lhs_cross_plane_pad (Optional) Bottom paddings for LHS matrix in unit of elements (only if defined REINTERPRET_INPUT_AS_3D) |
| * @param[in] dst_cross_plane_pad (Optional) Bottom paddings for the output matrix in unit of elements (only if defined REINTERPRET_OUTPUT_AS_3D) |
| * @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(IMAGE_DECLARATION(lhs), |
| __read_only image2d_t rhs_img, |
| #if defined(BETA) |
| IMAGE_DECLARATION(bias), |
| #endif // defined(BETA) |
| IMAGE_DECLARATION(dst), |
| uint lhs_stride_z, |
| uint rhs_stride_z, |
| #if defined(BETA) |
| uint bias_stride_z, |
| #endif //defined(BETA) |
| uint dst_stride_z |
| #if defined(REINTERPRET_INPUT_AS_3D) |
| , |
| uint lhs_cross_plane_pad |
| #endif // REINTERPRET_INPUT_AS_3D |
| #if defined(REINTERPRET_OUTPUT_AS_3D) |
| , |
| uint dst_cross_plane_pad |
| #endif // REINTERPRET_OUTPUT_AS_3D |
| , |
| 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 |
| // Left-over accumulations for 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) |
| |
| #if defined(ACTIVATION_TYPE) |
| ACTIVATION_BLOCK(M0, ACTIVATION_TYPE, DATA_TYPE, N0, c, A_VAL, B_VAL); |
| #endif // defined(ACTIVATION_TYPE) |
| |
| // 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 |
| #undef PIXEL_UNIT |
| } |
| #endif // defined(OPENCL_IMAGE_SUPPORT) && defined(GEMM_MM_RESHAPED_ONLY_RHS_T_TEXTURE) |
| |
| #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) |
| /** This OpenCL kernel computes the matrix multiplication between 2 matrices. |
| * The LHS matrix is NOT reshaped |
| * The RHS is reshaped with @ref CLGEMMReshapeRHSMatrixKernel and the block K0xN0 is NOT transposed |
| * |
| * @note If the first two dimensions of NDRange have been dispatched with "dummy_work_items" support, the option -DDUMMY_WORK_ITEMS must be passed at compile time. |
| * @note The GEMM's dimensions (M,N and K) must be passed at runtime as kernel parameters. |
| * @note The block's dimensions used for reshaping the RHS matrix (N0 and K0) must be passed at compile time using -DN0 and -DK0 (e.g. -DN0=8, -DK0=4). |
| * @note The number of M0 rows to process must be passed at compile time using -DM0 (e.g. -DM0=2) |
| * @note The number of K0xN0 horizontal blocks stored on the same output row of the reshaped RHS matrix must be passed at compile time using -DH0 (e.g. -DH0=2) |
| * @note If the K0xN0 blocks in the reshaped RHS matrix have been interleaved, the option -DRHS_INTERLEAVE must passed at compile time. |
| * @note The size of the partial store block in y must be passed at compile time using -DPARTIAL_STORE_M0 (e.g. -DPARTIAL_STORE_M0=1) |
| * @note The size of the partial store block in x must be passed at compile time using -DPARTIAL_STORE_N0 (e.g. -DPARTIAL_STORE_N0=1) |
| * @note Only the following configurations of M0, N0 and K0 are currently supported: |
| * - M0 = 1, 2, 3, 4, 5, 6, 7, 8 |
| * - N0 = 2, 3, 4, 8, 16 |
| * - K0 = 2, 3, 4, 8, 16 |
| * - H0 >= 1 |
| * |
| * @note If the activation type were passed at compile time through -DACTIVATION_TYPE (e.g. -DACTIVATION_TYPE=RELU), A, B variables, required by some activation functions, should be passed at compile time as well using -DA_VAL= and -DB_VAL= respectively. |
| * The activation function is performed after the bias addition |
| * @note In case the input or output have to be reinterpreted as a 3D tensor, the following information must be passed at compile time: |
| * -# REINTERPRET_INPUT_AS_3D: To reinterpret the input as 3D |
| * -# REINTERPRET_OUTPUT_AS_3D: To reinterpret the output as 3D |
| * -# HEIGHT_GEMM3D: The height of the output in case it has to be reinterpreted as a 3D tensor. |
| * -# DEPTH_GEMM3D: The depth of the output in case it has to be reinterpreted as a 3D tensor |
| * (HEIGHT_GEMM3D * DEPTH_GEMM3D) = columns LHS matrix |
| * |
| * @param[in] lhs_ptr Pointer to the LHS matrix. Supported data type: F16/F32 |
| * @param[in] lhs_stride_x Stride of the LHS matrix in X dimension (in bytes) |
| * @param[in] lhs_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] lhs_stride_y Stride of the LHS matrix in Y dimension (in bytes) |
| * @param[in] lhs_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] lhs_offset_first_element_in_bytes The offset of the first element in the LHS matrix |
| * @param[in] rhs_ptr Pointer to the RHS reshaped matrix. Supported data type: same as @p lhs_ptr |
| * @param[in] rhs_stride_x Stride of the RHS reshaped matrix in X dimension (in bytes) |
| * @param[in] rhs_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] rhs_stride_y Stride of the RHS reshaped matrix in Y dimension (in bytes) |
| * @param[in] rhs_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] rhs_offset_first_element_in_bytes The offset of the first element in the RHS reshaped matrix |
| * @param[in] bias_ptr (Optional) Pointer to the bias matrix. Supported data type: same as @p lhs_ptr |
| * @param[in] bias_stride_x (Optional) Stride of the bias matrix in X dimension (in bytes) |
| * @param[in] bias_step_x (Optional) bias_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] bias_stride_y (Optional) Stride of the bias matrix in Y dimension (in bytes) |
| * @param[in] bias_step_y (Optional) bias_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] bias_offset_first_element_in_bytes (Optional) The offset of the first element in the bias matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data type: same as @p lhs_ptr |
| * @param[in] dst_stride_x Stride of the destination matrix in X dimension (in bytes) |
| * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination matrix in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination matrix |
| * @param[in] lhs_stride_z Stride of the LHS matrix in Z dimension (in bytes) |
| * @param[in] rhs_stride_z Stride of the RHS reshaped matrix in Z dimension (in bytes) |
| * @param[in] bias_stride_z (Optional) Stride of the bias matrix in Z dimension (in bytes) |
| * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| * @param[in] lhs_cross_plane_pad (Optional) Bottom paddings for LHS matrix in unit of elements (only if defined REINTERPRET_INPUT_AS_3D) |
| * @param[in] dst_cross_plane_pad (Optional) Bottom paddings for the output matrix in unit of elements (only if defined REINTERPRET_OUTPUT_AS_3D) |
| * @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(IMAGE_DECLARATION(lhs), |
| IMAGE_DECLARATION(rhs), |
| #if defined(BETA) |
| IMAGE_DECLARATION(bias), |
| #endif // defined(BETA) |
| IMAGE_DECLARATION(dst), |
| uint lhs_stride_z, |
| uint rhs_stride_z, |
| #if defined(BETA) |
| uint bias_stride_z, |
| #endif //defined(BETA) |
| uint dst_stride_z |
| #if defined(REINTERPRET_INPUT_AS_3D) |
| , |
| uint lhs_cross_plane_pad |
| #endif // REINTERPRET_INPUT_AS_3D |
| #if defined(REINTERPRET_OUTPUT_AS_3D) |
| , |
| uint dst_cross_plane_pad |
| #endif // REINTERPRET_OUTPUT_AS_3D |
| , |
| 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) |
| |
| #if defined(ACTIVATION_TYPE) |
| ACTIVATION_BLOCK(M0, ACTIVATION_TYPE, DATA_TYPE, N0, c, A_VAL, B_VAL); |
| #endif // defined(ACTIVATION_TYPE) |
| |
| // 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) |
| |
| #if defined(OPENCL_IMAGE_SUPPORT) && defined(GEMM_MM_RESHAPED_ONLY_RHS_NT_TEXTURE) |
| /** This OpenCL kernel computes the matrix multiplication between 2 matrices. |
| * The LHS matrix is NOT reshaped |
| * The RHS is reshaped with @ref CLGEMMReshapeRHSMatrixKernel and the block K0xN0 is NOT transposed |
| * |
| * @note -DOPENCL_IMAGE_SUPPORT must be passed at compile time in order to compile this OpenCL kernel |
| * @note If the first two dimensions of NDRange have been dispatched with "dummy_work_items" support, the option -DDUMMY_WORK_ITEMS must be passed at compile time. |
| * @note The GEMM's dimensions (M,N and K) must be passed at runtime as kernel parameters. |
| * @note The height of the RHS matrix, defined before creating the OpenCL image object from the OpenCL buffer, should be passed at compile time using -DRHS_HEIGHT=<value> (e.g. -DRHS_HEIGHT=32) |
| * Since we cannot create a 3d image from a buffer, the third dimension could be collapsed with the second dimension so RHS_HEIGHT |
| * could be different from the value returned by get_image_height(rhs_img). |
| * @note The block's dimensions used for reshaping the RHS matrix (N0 and K0) must be passed at compile time using -DN0 and -DK0 (e.g. -DN0=8, -DK0=4). |
| * @note The number of M0 rows to process must be passed at compile time using -DM0 (e.g. -DM0=2) |
| * @note The number of K0xN0 horizontal blocks stored on the same output row of the reshaped RHS matrix must be passed at compile time using -DH0 (e.g. -DH0=2) |
| * @note If the K0xN0 blocks in the reshaped RHS matrix have been interleaved, the option -DRHS_INTERLEAVE must passed at compile time. |
| * @note The size of the partial store block in y must be passed at compile time using -DPARTIAL_STORE_M0 (e.g. -DPARTIAL_STORE_M0=1) |
| * @note The size of the partial store block in x must be passed at compile time using -DPARTIAL_STORE_N0 (e.g. -DPARTIAL_STORE_N0=1) |
| * @note Only the following configurations of M0, N0 and K0 are currently supported: |
| * - M0 = 1, 2, 3, 4, 5, 6, 7, 8 |
| * - N0 = 4, 8, 16 |
| * - K0 = 4, 8, 16 |
| * - H0 >= 1 |
| * |
| * @note If the activation type were passed at compile time through -DACTIVATION_TYPE (e.g. -DACTIVATION_TYPE=RELU), A, B variables, required by some activation functions, should be passed at compile time as well using -DA_VAL= and -DB_VAL= respectively. |
| * The activation function is performed after the bias addition |
| * @note In case the input or output have to be reinterpreted as a 3D tensor, the following information must be passed at compile time: |
| * -# REINTERPRET_INPUT_AS_3D: To reinterpret the input as 3D |
| * -# REINTERPRET_OUTPUT_AS_3D: To reinterpret the output as 3D |
| * -# HEIGHT_GEMM3D: The height of the output in case it has to be reinterpreted as a 3D tensor. |
| * -# DEPTH_GEMM3D: The depth of the output in case it has to be reinterpreted as a 3D tensor |
| * (HEIGHT_GEMM3D * DEPTH_GEMM3D) = columns LHS matrix |
| * |
| * @param[in] lhs_ptr Pointer to the LHS matrix. Supported data type: F32 |
| * @param[in] lhs_stride_x Stride of the LHS matrix in X dimension (in bytes) |
| * @param[in] lhs_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] lhs_stride_y Stride of the LHS matrix in Y dimension (in bytes) |
| * @param[in] lhs_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] lhs_offset_first_element_in_bytes The offset of the first element in the LHS matrix |
| * @param[in] rhs_img The RHS reshaped matrix as OpenCL image object. Supported data type: same as @p lhs_ptr |
| * @param[in] bias_ptr (Optional) Pointer to the bias matrix. Supported data type: same as @p lhs_ptr |
| * @param[in] bias_stride_x (Optional) Stride of the bias matrix in X dimension (in bytes) |
| * @param[in] bias_step_x (Optional) bias_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] bias_stride_y (Optional) Stride of the bias matrix in Y dimension (in bytes) |
| * @param[in] bias_step_y (Optional) bias_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] bias_offset_first_element_in_bytes (Optional) The offset of the first element in the bias matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data type: same as @p lhs_ptr |
| * @param[in] dst_stride_x Stride of the destination matrix in X dimension (in bytes) |
| * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination matrix in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination matrix |
| * @param[in] lhs_stride_z Stride of the LHS matrix in Z dimension (in bytes) |
| * @param[in] rhs_stride_z Stride of the RHS reshaped matrix in Z dimension (in bytes) |
| * @param[in] bias_stride_z (Optional) Stride of the bias matrix in Z dimension (in bytes) |
| * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| * @param[in] lhs_cross_plane_pad (Optional) Bottom paddings for LHS matrix in unit of elements (only if defined REINTERPRET_INPUT_AS_3D) |
| * @param[in] dst_cross_plane_pad (Optional) Bottom paddings for the output matrix in unit of elements (only if defined REINTERPRET_OUTPUT_AS_3D) |
| * @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(IMAGE_DECLARATION(lhs), |
| __read_only image2d_t rhs_img, |
| #if defined(BETA) |
| IMAGE_DECLARATION(bias), |
| #endif // defined(BETA) |
| IMAGE_DECLARATION(dst), |
| uint lhs_stride_z, |
| uint rhs_stride_z, |
| #if defined(BETA) |
| uint bias_stride_z, |
| #endif //defined(BETA) |
| uint dst_stride_z |
| #if defined(REINTERPRET_INPUT_AS_3D) |
| , |
| uint lhs_cross_plane_pad |
| #endif // REINTERPRET_INPUT_AS_3D |
| #if defined(REINTERPRET_OUTPUT_AS_3D) |
| , |
| uint dst_cross_plane_pad |
| #endif // REINTERPRET_OUTPUT_AS_3D |
| , |
| 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) |
| |
| #if defined(ACTIVATION_TYPE) |
| ACTIVATION_BLOCK(M0, ACTIVATION_TYPE, DATA_TYPE, N0, c, A_VAL, B_VAL); |
| #endif // defined(ACTIVATION_TYPE) |
| |
| // 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) |
| #endif // defined(M0) && defined(N0) && defined(K0) && defined(H0) && defined(DATA_TYPE) |
| |
| #if defined(M0) && defined(N0) && defined(K0) && defined(V0) && defined(H0) && defined(DATA_TYPE) && defined(DATA_TYPE_ACCUMULATOR) |
| |
| #if defined(MIXED_PRECISION) |
| #if K0 == 2 |
| #define ARM_DOT_K0(a, b, c) \ |
| ({ \ |
| c += a.s0 * b.s0; \ |
| c += a.s1 * b.s1; \ |
| }) |
| #elif K0 == 3 // K0 == 3 |
| #define ARM_DOT_K0(a, b, c) \ |
| ({ \ |
| c += a.s0 * b.s0; \ |
| c += a.s1 * b.s1; \ |
| c += a.s2 * b.s2; \ |
| }) |
| #elif K0 == 4 // K0 == 4 |
| #define ARM_DOT_K0(a, b, c) \ |
| ({ \ |
| c += a.s0 * b.s0; \ |
| c += a.s1 * b.s1; \ |
| c += a.s2 * b.s2; \ |
| c += a.s3 * b.s3; \ |
| }) |
| #elif K0 == 8 // K0 == 8 |
| #define ARM_DOT_K0(a, b, c) \ |
| ({ \ |
| c += a.s0 * b.s0; \ |
| c += a.s1 * b.s1; \ |
| c += a.s2 * b.s2; \ |
| c += a.s3 * b.s3; \ |
| c += a.s4 * b.s4; \ |
| c += a.s5 * b.s5; \ |
| c += a.s6 * b.s6; \ |
| c += a.s7 * b.s7; \ |
| }) |
| #elif K0 == 16 // K0 == 16 |
| #define ARM_DOT_K0(a, b, c) \ |
| ({ \ |
| c += a.s0 * b.s0; \ |
| c += a.s1 * b.s1; \ |
| c += a.s2 * b.s2; \ |
| c += a.s3 * b.s3; \ |
| c += a.s4 * b.s4; \ |
| c += a.s5 * b.s5; \ |
| c += a.s6 * b.s6; \ |
| c += a.s7 * b.s7; \ |
| c += a.s8 * b.s8; \ |
| c += a.s9 * b.s9; \ |
| c += a.sA * b.sA; \ |
| c += a.sB * b.sB; \ |
| c += a.sC * b.sC; \ |
| c += a.sD * b.sD; \ |
| c += a.sE * b.sE; \ |
| c += a.sF * b.sF; \ |
| }) |
| #else // K0 not supported |
| #error "K0 value not supported" |
| #endif // K0 conditions |
| #else // defined(MIXED_PRECISION) |
| #if K0 == 2 |
| #define ARM_DOT_K0(a, b, c) \ |
| ({ \ |
| c = fma(a.s0, b.s0, c); \ |
| c = fma(a.s1, b.s1, c); \ |
| }) |
| #elif K0 == 3 // K0 == 3 |
| #define ARM_DOT_K0(a, b, c) \ |
| ({ \ |
| c = fma(a.s0, b.s0, c); \ |
| c = fma(a.s1, b.s1, c); \ |
| c = fma(a.s2, b.s2, c); \ |
| }) |
| #elif K0 == 4 // K0 == 4 |
| #define ARM_DOT_K0(a, b, c) \ |
| ({ \ |
| c = fma(a.s0, b.s0, c); \ |
| c = fma(a.s1, b.s1, c); \ |
| c = fma(a.s2, b.s2, c); \ |
| c = fma(a.s3, b.s3, c); \ |
| }) |
| #elif K0 == 8 // K0 == 8 |
| #define ARM_DOT_K0(a, b, c) \ |
| ({ \ |
| c = fma(a.s0, b.s0, c); \ |
| c = fma(a.s1, b.s1, c); \ |
| c = fma(a.s2, b.s2, c); \ |
| c = fma(a.s3, b.s3, c); \ |
| c = fma(a.s4, b.s4, c); \ |
| c = fma(a.s5, b.s5, c); \ |
| c = fma(a.s6, b.s6, c); \ |
| c = fma(a.s7, b.s7, c); \ |
| }) |
| #elif K0 == 16 // K0 == 16 |
| #define ARM_DOT_K0(a, b, c) \ |
| ({ \ |
| c = fma(a.s0, b.s0, c); \ |
| c = fma(a.s1, b.s1, c); \ |
| c = fma(a.s2, b.s2, c); \ |
| c = fma(a.s3, b.s3, c); \ |
| c = fma(a.s4, b.s4, c); \ |
| c = fma(a.s5, b.s5, c); \ |
| c = fma(a.s6, b.s6, c); \ |
| c = fma(a.s7, b.s7, c); \ |
| c = fma(a.s8, b.s8, c); \ |
| c = fma(a.s9, b.s9, c); \ |
| c = fma(a.sA, b.sA, c); \ |
| c = fma(a.sB, b.sB, c); \ |
| c = fma(a.sC, b.sC, c); \ |
| c = fma(a.sD, b.sD, c); \ |
| c = fma(a.sE, b.sE, c); \ |
| c = fma(a.sF, b.sF, c); \ |
| }) |
| #else // K0 not supported |
| #error "K0 value not supported" |
| #endif // K0 conditions |
| #endif // defined(MIXED_PRECISION) |
| |
| #if defined(ARM_DOT_K0XN0) |
| #undef ARM_DOT_K0XN0 |
| #endif // defined(ARM_DOT_K0XN0) |
| |
| #if N0 == 2 |
| #define ARM_DOT_K0XN0(a, b, c) \ |
| ({ \ |
| ARM_DOT_K0((a), (b##0), (c.s0)); \ |
| ARM_DOT_K0((a), (b##1), (c.s1)); \ |
| }) |
| #elif N0 == 3 // N0 == 3 |
| #define ARM_DOT_K0XN0(a, b, c) \ |
| ({ \ |
| ARM_DOT_K0((a), (b##0), (c.s0)); \ |
| ARM_DOT_K0((a), (b##1), (c.s1)); \ |
| ARM_DOT_K0((a), (b##2), (c.s2)); \ |
| }) |
| #elif N0 == 4 // N0 == 4 |
| #define ARM_DOT_K0XN0(a, b, c) \ |
| ({ \ |
| ARM_DOT_K0((a), (b##0), (c.s0)); \ |
| ARM_DOT_K0((a), (b##1), (c.s1)); \ |
| ARM_DOT_K0((a), (b##2), (c.s2)); \ |
| ARM_DOT_K0((a), (b##3), (c.s3)); \ |
| }) |
| #elif N0 == 8 // N0 == 8 |
| #define ARM_DOT_K0XN0(a, b, c) \ |
| ({ \ |
| ARM_DOT_K0((a), (b##0), (c.s0)); \ |
| ARM_DOT_K0((a), (b##1), (c.s1)); \ |
| ARM_DOT_K0((a), (b##2), (c.s2)); \ |
| ARM_DOT_K0((a), (b##3), (c.s3)); \ |
| ARM_DOT_K0((a), (b##4), (c.s4)); \ |
| ARM_DOT_K0((a), (b##5), (c.s5)); \ |
| ARM_DOT_K0((a), (b##6), (c.s6)); \ |
| ARM_DOT_K0((a), (b##7), (c.s7)); \ |
| }) |
| #elif N0 == 16 // N0 == 16 |
| #define ARM_DOT_K0XN0(a, b, c) \ |
| ({ \ |
| ARM_DOT_K0((a), (b##0), (c.s0)); \ |
| ARM_DOT_K0((a), (b##1), (c.s1)); \ |
| ARM_DOT_K0((a), (b##2), (c.s2)); \ |
| ARM_DOT_K0((a), (b##3), (c.s3)); \ |
| ARM_DOT_K0((a), (b##4), (c.s4)); \ |
| ARM_DOT_K0((a), (b##5), (c.s5)); \ |
| ARM_DOT_K0((a), (b##6), (c.s6)); \ |
| ARM_DOT_K0((a), (b##7), (c.s7)); \ |
| ARM_DOT_K0((a), (b##8), (c.s8)); \ |
| ARM_DOT_K0((a), (b##9), (c.s9)); \ |
| ARM_DOT_K0((a), (b##A), (c.sA)); \ |
| ARM_DOT_K0((a), (b##B), (c.sB)); \ |
| ARM_DOT_K0((a), (b##C), (c.sC)); \ |
| ARM_DOT_K0((a), (b##D), (c.sD)); \ |
| ARM_DOT_K0((a), (b##E), (c.sE)); \ |
| ARM_DOT_K0((a), (b##F), (c.sF)); \ |
| }) |
| #else // N0 not supported |
| #error "N0 value not supported" |
| #endif // N0 conditions |
| |
| #if defined(GEMM_MM_RESHAPED_LHS_NT_RHS_T) |
| /** This OpenCL kernel computes the matrix multiplication between 2 matrices. |
| * The LHS matrix must be reshaped with @ref CLGEMMReshapeLHSMatrixKernel and the M0xK0 must be NOT transposed |
| * The RHS matrix must be reshaped with @ref CLGEMMReshapeRHSMatrixKernel and the K0xN0 must be transposed |
| * |
| * @note The data type must be passed at compile time using -DDATA_TYPE (e.g. -DDATA_TYPE=float) |
| * @note The data type used for the accumulators must be passed at compile time using -DDATA_TYPE_ACCUMULATOR (e.g. -DDATA_TYPE_ACCUMULATOR=float) |
| * @note The F16 computation also supports mixed precision through the option -DMIXED_PRECISION passed at compile time. If enabled, DATA_TYPE_ACCUMULATOR should be set to float |
| * @note If the first two dimensions of NDRange have been dispatched with "dummy_work_items" support, the option -DDUMMY_WORK_ITEMS must be passed at compile time. |
| * @note The GEMM's dimensions M, N and K must be passed at compile time using -DM, -DN and -DK (e.g. -DM=52, -DN=90 and -DK=24). |
| * @note The block's dimensions used for reshaping the LHS matrix and the RHS matrix (M0, N0 and K0) must be passed at compile time using -DM0, -DN0 and -DK0 (e.g. -DM0=4, -DN0=8, -DK0=4). |
| * @note The number of M0xK0 vertical blocks stored on the same output row of the reshaped LHS matrix must be passed at compile time using -DV0 (e.g. -DV0=2) |
| * @note The number of K0xN0 horizontal blocks stored on the same output row of the reshaped RHS matrix must be passed at compile time using -DH0 (e.g. -DH0=2) |
| * @note If the M0xK0 blocks in the reshaped LHS matrix have been interleaved, the option -DLHS_INTERLEAVE must passed at compile time. |
| * @note If the K0xN0 blocks in the reshaped RHS matrix have been interleaved, the option -DRHS_INTERLEAVE must passed at compile time. |
| * @note The size of the partial store block in y must be passed at compile time using -DPARTIAL_STORE_M0 (e.g. -DPARTIAL_STORE_M0=1) |
| * @note The size of the partial store block in x must be passed at compile time using -DPARTIAL_STORE_N0 (e.g. -DPARTIAL_STORE_N0=1) |
| * @note Only the following configurations of M0, N0 and K0 are currently supported: |
| * - M0 = 2, 3, 4, 5, 6, 7, 8 |
| * - N0 = 2, 3, 4, 8, 16 |
| * - K0 = 2, 3, 4, 8, 16 |
| * - V0 >= 1 |
| * - H0 >= 1 |
| * |
| * @note If the activation type were passed at compile time through -DACTIVATION_TYPE (e.g. -DACTIVATION_TYPE=RELU), A, B variables, required by some activation functions, should be passed at compile time as well using -DA_VAL= and -DB_VAL= respectively. |
| * The activation function is performed after the bias addition |
| * @note In case the output has to be reinterpreted as a 3D tensor (e.g. output of convolution layer), the following information must be passed at compile time: |
| * -# REINTERPRET_OUTPUT_AS_3D: To reinterpret the output as 3D |
| * -# HEIGHT_GEMM3D: The height of the output in case it has to be reinterpreted as a 3D tensor. |
| * -# DEPTH_GEMM3D: The depth of the output in case it has to be reinterpreted as a 3D tensor |
| * (HEIGHT_GEMM3D * DEPTH_GEMM3D) = columns LHS matrix NOT reshaped |
| * |
| * @param[in] lhs_ptr Pointer to the LHS reshaped matrix. Supported data type: F16/F32 |
| * @param[in] lhs_stride_x Stride of the LHS reshaped matrix in X dimension (in bytes) |
| * @param[in] lhs_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] lhs_stride_y Stride of the LHS reshaped matrix in Y dimension (in bytes) |
| * @param[in] lhs_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] lhs_offset_first_element_in_bytes The offset of the first element in the LHS reshaped matrix |
| * @param[in] rhs_ptr Pointer to the RHS reshaped matrix. Supported data type: same as @p lhs_ptr |
| * @param[in] rhs_stride_x Stride of the RHS reshaped matrix in X dimension (in bytes) |
| * @param[in] rhs_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] rhs_stride_y Stride of the RHS reshaped matrix in Y dimension (in bytes) |
| * @param[in] rhs_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] rhs_offset_first_element_in_bytes The offset of the first element in the RHS reshaped matrix |
| * @param[in] bias_ptr (Optional) Pointer to the bias matrix. Supported data type: same as @p lhs_ptr |
| * @param[in] bias_stride_x (Optional) Stride of the bias matrix in X dimension (in bytes) |
| * @param[in] bias_step_x (Optional) bias_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] bias_stride_y (Optional) Stride of the bias matrix in Y dimension (in bytes) |
| * @param[in] bias_step_y (Optional) bias_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] bias_offset_first_element_in_bytes (Optional) The offset of the first element in the bias matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data type: same as @p lhs_ptr |
| * @param[in] dst_stride_x Stride of the destination matrix in X dimension (in bytes) |
| * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination matrix in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination matrix |
| * @param[in] lhs_stride_z Stride of the LHS reshaped matrix in Z dimension (in bytes) |
| * @param[in] rhs_stride_z Stride of the RHS reshaped matrix in Z dimension (in bytes) |
| * @param[in] bias_stride_z (Optional) Stride of the bias matrix in Z dimension (in bytes) |
| * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| * @param[in] dst_cross_plane_pad (Optional) Bottom paddings in unit of elements (only if defined REINTERPRET_OUTPUT_AS_3D) |
| * @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_lhs_nt_rhs_t(IMAGE_DECLARATION(lhs), |
| IMAGE_DECLARATION(rhs), |
| #if defined(BETA) |
| IMAGE_DECLARATION(bias), |
| #endif // defined(BETA) |
| IMAGE_DECLARATION(dst), |
| uint lhs_stride_z, |
| uint rhs_stride_z, |
| #if defined(BETA) |
| uint bias_stride_z, |
| #endif //defined(BETA) |
| uint dst_stride_z |
| #if defined(REINTERPRET_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 LHS_BLOCK_SIZE ((K0) * (M0)) |
| |
| #if defined(LHS_INTERLEAVE) |
| #define LHS_OFFSET_X (K0) |
| #define LHS_STEP_X ((K0) * (V0)) |
| #define LHS_STEP_LOOP (1) |
| #else // defined(INTERLEAVE) |
| #define LHS_OFFSET_X (LHS_BLOCK_SIZE) |
| #define LHS_STEP_X (K0) |
| #define LHS_STEP_LOOP (V0) |
| #endif // defined(INTERLEAVE) |
| |
| // Block size |
| #define RHS_BLOCK_SIZE ((K0) * (N0)) |
| |
| // RHS offset and step X |
| #if defined(RHS_INTERLEAVE) |
| #define RHS_OFFSET_X (K0) |
| #define RHS_STEP_X ((K0) * (H0)) |
| #define RHS_STEP_LOOP (1) |
| #else // defined(RHS_INTERLEAVE) |
| #define RHS_OFFSET_X (RHS_BLOCK_SIZE) |
| #define RHS_STEP_X (K0) |
| #define RHS_STEP_LOOP (H0) |
| #endif // defined(RHS_INTERLEAVE) |
| |
| #if defined(DUMMY_WORK_ITEMS) |
| if((get_global_id(0) * N0 >= N) || (get_global_id(1) * M0 >= M)) |
| { |
| return; |
| } |
| #endif // defined(DUMMY_WORK_ITEMS) |
| |
| // Compute LHS matrix address |
| __global uchar *lhs_addr = lhs_ptr + lhs_offset_first_element_in_bytes + (get_global_id(1) % V0) * (uint)LHS_OFFSET_X * sizeof(DATA_TYPE) + (get_global_id(1) / V0) * (uint)lhs_stride_y + |
| (get_global_id(2) * lhs_stride_z); |
| |
| // Compute RHS matrix address |
| __global uchar *rhs_addr = rhs_ptr + rhs_offset_first_element_in_bytes + (get_global_id(0) % H0) * (uint)RHS_OFFSET_X * sizeof(DATA_TYPE) + (get_global_id(0) / (uint)H0) * rhs_stride_y; |
| |
| #if defined(MATRIX_B_DEPTH) |
| // Do not slide matrix B if the matrix B has 3 dimensions and matrix A more than 3 |
| rhs_addr += (get_global_id(2) % MATRIX_B_DEPTH) * rhs_stride_z; |
| #else // defined(MATRIX_B_DEPTH) |
| rhs_addr += get_global_id(2) * rhs_stride_z; |
| #endif // defined(MATRIX_B_DEPTH) |
| |
| // Initialize the accumulators |
| REPEAT_VAR_INIT_TO_CONST(M0, VEC_DATA_TYPE(DATA_TYPE_ACCUMULATOR, N0), c, 0); |
| |
| REPEAT_VAR_INIT_TO_CONST(M0, uint, zlhs, 0); //uint zlhs0=0,zlhs1=0,zlhs2=0,... zlhs7=0; |
| REPEAT_VAR_INIT_TO_CONST(16, uint, zero, 0); |
| |
| for(int i = 0; i < K; i += K0) |
| { |
| // Supported cases (M0, K0): |
| // 1,2 - 1,3 - 1,4 - 1,8 - 1,16 |
| // 2,2 - 2,3 - 2,4 - 2,8 - 2,16 |
| // 3,2 - 3,3 - 3,4 - 3,8 - 3,16 |
| // 4,2 - 4,3 - 4,4 - 4,8 - 4,16 |
| // 5,2 - 5,3 - 5,4 - 5,8 - 5,16 |
| // 6,2 - 6,3 - 6,4 - 6,8 - 6,16 |
| // 7,2 - 7,3 - 7,4 - 7,8 - 7,16 |
| // 8,2 - 8,3 - 8,4 - 8,8 - 8,16 |
| // Load values from LHS matrix |
| LOAD_BLOCK(M0, K0, DATA_TYPE, a, lhs_addr, 0, LHS_STEP_X * sizeof(DATA_TYPE), zlhs); |
| |
| // Load values from RHS matrix |
| LOAD_BLOCK(N0, K0, DATA_TYPE, b, rhs_addr, 0, RHS_STEP_X * sizeof(DATA_TYPE), zero); |
| |
| // Accumulate |
| ARM_DOT_K0XN0(a0, b, c0); |
| #if M0 > 1 |
| ARM_DOT_K0XN0(a1, b, c1); |
| #endif // M0 > 1 |
| #if M0 > 2 |
| ARM_DOT_K0XN0(a2, b, c2); |
| #endif // M0 > 2 |
| #if M0 > 3 |
| ARM_DOT_K0XN0(a3, b, c3); |
| #endif // M0 > 3 |
| #if M0 > 4 |
| ARM_DOT_K0XN0(a4, b, c4); |
| #endif // M0 > 4 |
| #if M0 > 5 |
| ARM_DOT_K0XN0(a5, b, c5); |
| #endif // M0 > 5 |
| #if M0 > 6 |
| ARM_DOT_K0XN0(a6, b, c6); |
| #endif // M0 > 6 |
| #if M0 > 7 |
| ARM_DOT_K0XN0(a7, b, c7); |
| #endif // M0 > 7 |
| |
| lhs_addr += (M0 * LHS_STEP_X * LHS_STEP_LOOP) * sizeof(DATA_TYPE); |
| rhs_addr += (N0 * RHS_STEP_X * RHS_STEP_LOOP) * sizeof(DATA_TYPE); |
| } |
| |
| __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + (get_global_id(0) * (uint)N0 * sizeof(DATA_TYPE)) + (get_global_id(1) * (uint)M0 * dst_stride_y); |
| |
| REPEAT_VAR_INIT_TO_CONST(M0, uint, zout, 0); |
| |
| const bool cond_y = ((get_global_id(1) + 1) * M0 >= M); |
| const bool cond_x = ((get_global_id(0) + 1) * N0 >= N); |
| |
| #if defined(REINTERPRET_OUTPUT_AS_3D) |
| |
| // The plane (zin) is calculated dividing M (y * M0) by HEIGHT_GEMM3D |
| CALCULATE_Z_OFFSET(M0, uint, zout, get_global_id(1) * (uint)M0, HEIGHT_GEMM3D, DEPTH_GEMM3D, dst_cross_plane_pad, dst_stride_y); |
| // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we |
| // multiply dst_stride_z by DEPTH_GEMM3D |
| dst_addr += get_global_id(2) * dst_stride_z * DEPTH_GEMM3D; |
| |
| #else // defined(REINTERPRET_OUTPUT_AS_3D) |
| |
| // Add offset for batched GEMM |
| dst_addr += get_global_id(2) * dst_stride_z; |
| |
| #endif // defined(REINTERPRET_OUTPUT_AS_3D) |
| |
| // Multiply by the weight of matrix-matrix product and store the result |
| #if defined(ALPHA) |
| SCALE_BLOCK(M0, DATA_TYPE, c, ALPHA); |
| #endif // defined(ALPHA) |
| |
| // Add beta*bias |
| #if defined(BETA) |
| #if defined(BROADCAST_BIAS) |
| __global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (get_global_id(0) * (uint)N0 * sizeof(DATA_TYPE)); |
| |
| LOAD_BLOCK_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] |
| #if defined(MIXED_PRECISION) |
| CONVERT_BLOCK(1, N0, DATA_TYPE_ACCUMULATOR, bias, bias_hp); |
| ADD_BLOCK_BROADCAST(M0, c, bias_hp0); |
| #else // defined(MIXED_PRECISION) |
| ADD_BLOCK_BROADCAST(M0, c, bias0); |
| #endif // defined(MIXED_PRECISION) |
| |
| #else // defined(BROADCAST_BIAS) |
| __global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (get_global_id(0) * (uint)N0 * sizeof(DATA_TYPE)) + (get_global_id(1) * (uint)M0 * bias_stride_y) + get_global_id( |
| 2) * bias_stride_z; |
| |
| LOAD_BLOCK_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 |
| #if defined(MIXED_PRECISION) |
| CONVERT_BLOCK(M0, N0, DATA_TYPE_ACCUMULATOR, bias, bias_hp); |
| ADD_BLOCK(M0, c, bias_hp); |
| #else // defined(MIXED_PRECISION) |
| ADD_BLOCK(M0, c, bias); |
| #endif // defined(MIXED_PRECISION) |
| |
| #endif // defined(BROADCAST_BIAS) |
| #endif // defined(BETA) |
| |
| #if defined(ACTIVATION_TYPE) |
| #if defined(MIXED_PRECISION) |
| ACTIVATION_BLOCK(M0, ACTIVATION_TYPE, DATA_TYPE_ACCUMULATOR, N0, c, A_VAL, B_VAL); |
| #else // defined(MIXED_PRECISION) |
| ACTIVATION_BLOCK(M0, ACTIVATION_TYPE, DATA_TYPE, N0, c, A_VAL, B_VAL); |
| #endif // defined(MIXED_PRECISION) |
| #endif // defined(ACTIVATION_TYPE) |
| |
| // Store output block |
| #if defined(MIXED_PRECISION) |
| CONVERT_BLOCK(M0, N0, DATA_TYPE, c, c_lp); |
| STORE_BLOCK_BOUNDARY_AWARE(M0, N0, DATA_TYPE, c_lp, dst_addr, dst_stride_y, zout, PARTIAL_STORE_M0, PARTIAL_STORE_N0, cond_y, cond_x); |
| #else // defined(MIXED_PRECISION) |
| STORE_BLOCK_BOUNDARY_AWARE(M0, N0, DATA_TYPE, c, dst_addr, dst_stride_y, zout, PARTIAL_STORE_M0, PARTIAL_STORE_N0, cond_y, cond_x); |
| #endif // defined(MIXED_PRECISION) |
| |
| #undef LHS_BLOCK_SIZE |
| #undef LHS_OFFSET_X |
| #undef LHS_STEP_X |
| #undef RHS_BLOCK_SIZE |
| #undef RHS_OFFSET_X |
| #undef RHS_STEP_X |
| #undef LHS_STEP_LOOP |
| #undef RHS_STEP_LOOP |
| } |
| #endif // defined(GEMM_MM_RESHAPED_LHS_NT_RHS_T) |
| |
| #if defined(OPENCL_IMAGE_SUPPORT) && defined(GEMM_MM_RESHAPED_LHS_NT_RHS_T_TEXTURE) |
| /** This OpenCL kernel computes the matrix multiplication between 2 matrices. The RHS matrix is stored in OpenCL image object. |
| * The LHS matrix must be reshaped with @ref CLGEMMReshapeLHSMatrixKernel and the M0xK0 must be NOT transposed |
| * The RHS matrix must be reshaped with @ref CLGEMMReshapeRHSMatrixKernel and the K0xN0 must be transposed |
| * |
| * @note -DOPENCL_IMAGE_SUPPORT must be passed at compile time in order to compile this OpenCL kernel |
| * @note The data type must be passed at compile time using -DDATA_TYPE (e.g. -DDATA_TYPE=float) |
| * @note The data type used for the accumulators must be passed at compile time using -DDATA_TYPE_ACCUMULATOR (e.g. -DDATA_TYPE_ACCUMULATOR=float) |
| * @note The F16 computation also supports mixed precision through the option -DMIXED_PRECISION passed at compile time. If enabled, DATA_TYPE_ACCUMULATOR should be set to float |
| * @note If the first two dimensions of NDRange have been dispatched with "dummy_work_items" support, the option -DDUMMY_WORK_ITEMS must be passed at compile time. |
| * @note The GEMM's dimensions M, N and K must be passed at compile time using -DM, -DN and -DK (e.g. -DM=52, -DN=90 and -DK=24). |
| * @note The height of the RHS matrix, defined before creating the OpenCL image object from the OpenCL buffer, should be passed at compile time using -DRHS_HEIGHT=<value> (e.g. -DRHS_HEIGHT=32) |
| * Since we cannot create a 3d image from a buffer, the third dimension could be collapsed with the second dimension so RHS_HEIGHT |
| * could be different from the value returned by get_image_height(rhs_img). |
| * @note The block's dimensions used for reshaping the LHS matrix and the RHS matrix (M0, N0 and K0) must be passed at compile time using -DM0, -DN0 and -DK0 (e.g. -DM0=4, -DN0=8, -DK0=4). |
| * @note The number of M0xK0 vertical blocks stored on the same output row of the reshaped LHS matrix must be passed at compile time using -DV0 (e.g. -DV0=2) |
| * @note The number of K0xN0 horizontal blocks stored on the same output row of the reshaped RHS matrix must be passed at compile time using -DH0 (e.g. -DH0=2) |
| * @note If the M0xK0 blocks in the reshaped LHS matrix have been interleaved, the option -DLHS_INTERLEAVE must passed at compile time. |
| * @note If the K0xN0 blocks in the reshaped RHS matrix have been interleaved, the option -DRHS_INTERLEAVE must passed at compile time. |
| * @note The size of the partial store block in y must be passed at compile time using -DPARTIAL_STORE_M0 (e.g. -DPARTIAL_STORE_M0=1) |
| * @note The size of the partial store block in x must be passed at compile time using -DPARTIAL_STORE_N0 (e.g. -DPARTIAL_STORE_N0=1) |
| * @note Only the following configurations of M0, N0 and K0 are currently supported: |
| * - M0 = 2, 3, 4, 5, 6, 7, 8 |
| * - N0 = 4, 8, 16 |
| * - K0 = 4, 8, 16 |
| * - V0 >= 1 |
| * - H0 >= 1 |
| * |
| * @note If the activation type were passed at compile time through -DACTIVATION_TYPE (e.g. -DACTIVATION_TYPE=RELU), A, B variables, required by some activation functions, should be passed at compile time as well using -DA_VAL= and -DB_VAL= respectively. |
| * The activation function is performed after the bias addition |
| * @note In case the output has to be reinterpreted as a 3D tensor (e.g. output of convolution layer), the following information must be passed at compile time: |
| * -# REINTERPRET_OUTPUT_AS_3D: To reinterpret the output as 3D |
| * -# HEIGHT_GEMM3D: The height of the output in case it has to be reinterpreted as a 3D tensor. |
| * -# DEPTH_GEMM3D: The depth of the output in case it has to be reinterpreted as a 3D tensor |
| * (HEIGHT_GEMM3D * DEPTH_GEMM3D) = columns LHS matrix NOT reshaped |
| * |
| * @param[in] lhs_ptr Pointer to the LHS reshaped matrix. Supported data type: F32 |
| * @param[in] lhs_stride_x Stride of the LHS reshaped matrix in X dimension (in bytes) |
| * @param[in] lhs_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] lhs_stride_y Stride of the LHS reshaped matrix in Y dimension (in bytes) |
| * @param[in] lhs_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] lhs_offset_first_element_in_bytes The offset of the first element in the LHS reshaped matrix |
| * @param[in] rhs_img The RHS reshaped matrix as OpenCL image object. Supported data type: same as @p lhs_ptr |
| * @param[in] bias_ptr (Optional) Pointer to the bias matrix. Supported data type: same as @p lhs_ptr |
| * @param[in] bias_stride_x (Optional) Stride of the bias matrix in X dimension (in bytes) |
| * @param[in] bias_step_x (Optional) bias_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] bias_stride_y (Optional) Stride of the bias matrix in Y dimension (in bytes) |
| * @param[in] bias_step_y (Optional) bias_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] bias_offset_first_element_in_bytes (Optional) The offset of the first element in the bias matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data type: same as @p lhs_ptr |
| * @param[in] dst_stride_x Stride of the destination matrix in X dimension (in bytes) |
| * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination matrix in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination matrix |
| * @param[in] lhs_stride_z Stride of the LHS reshaped matrix in Z dimension (in bytes) |
| * @param[in] rhs_stride_z Stride of the RHS reshaped matrix in Z dimension (in bytes) |
| * @param[in] bias_stride_z (Optional) Stride of the bias matrix in Z dimension (in bytes) |
| * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| * @param[in] dst_cross_plane_pad (Optional) Bottom paddings in unit of elements (only if defined REINTERPRET_OUTPUT_AS_3D) |
| * @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_lhs_nt_rhs_t_texture(IMAGE_DECLARATION(lhs), |
| __read_only image2d_t rhs_img, |
| #if defined(BETA) |
| IMAGE_DECLARATION(bias), |
| #endif // defined(BETA) |
| IMAGE_DECLARATION(dst), |
| uint lhs_stride_z, |
| uint rhs_stride_z, |
| #if defined(BETA) |
| uint bias_stride_z, |
| #endif //defined(BETA) |
| uint dst_stride_z |
| #if defined(REINTERPRET_OUTPUT_AS_3D) |
| , |
| uint dst_cross_plane_pad |
| #endif // REINTERPRET_OUTPUT_AS_3D |
| , |
| const int M, |
| const int N, |
| const int K) |
| { |
| // Pixel unit |
| #define PIXEL_UNIT CONVERT_VECTOR_SIZE_TO_PIXEL_UNIT(K0) |
| |
| // Block size |
| #define LHS_BLOCK_SIZE ((K0) * (M0)) |
| |
| #if defined(LHS_INTERLEAVE) |
| #define LHS_OFFSET_X (K0) |
| #define LHS_STEP_X ((K0) * (V0)) |
| #define LHS_STEP_LOOP (1) |
| #else // defined(INTERLEAVE) |
| #define LHS_OFFSET_X (LHS_BLOCK_SIZE) |
| #define LHS_STEP_X (K0) |
| #define LHS_STEP_LOOP (V0) |
| #endif // defined(INTERLEAVE) |
| |
| // Block size |
| #define RHS_BLOCK_SIZE (PIXEL_UNIT * (N0)) |
| |
| // RHS offset and step X |
| #if defined(RHS_INTERLEAVE) |
| #define RHS_OFFSET_X (PIXEL_UNIT) |
| #define RHS_STEP_X (PIXEL_UNIT * (H0)) |
| #define RHS_STEP_LOOP (1) |
| #else // defined(RHS_INTERLEAVE) |
| #define RHS_OFFSET_X (RHS_BLOCK_SIZE) |
| #define RHS_STEP_X PIXEL_UNIT |
| #define RHS_STEP_LOOP (H0) |
| #endif // defined(RHS_INTERLEAVE) |
| |
| #if defined(DUMMY_WORK_ITEMS) |
| if((get_global_id(0) * N0 >= N) || (get_global_id(1) * M0 >= M)) |
| { |
| return; |
| } |
| #endif // defined(DUMMY_WORK_ITEMS) |
| |
| // Compute LHS matrix address |
| __global uchar *lhs_addr = lhs_ptr + lhs_offset_first_element_in_bytes + (get_global_id(1) % V0) * (uint)LHS_OFFSET_X * sizeof(DATA_TYPE) + (get_global_id(1) / V0) * (uint)lhs_stride_y + |
| (get_global_id(2) * lhs_stride_z); |
| |
| #if defined(MATRIX_B_DEPTH) |
| // Do not slide matrix B if the matrix B has 3 dimensions and matrix A more than 3 |
| const uint z_rhs = (get_global_id(2) % MATRIX_B_DEPTH); |
| #else // defined(MATRIX_B_DEPTH) |
| const uint z_rhs = get_global_id(2); |
| #endif // defined(MATRIX_B_DEPTH) |
| |
| // Compute RHS matrix coordinates |
| uint x_rhs = (get_global_id(0) % H0) * (uint)RHS_OFFSET_X; |
| const uint y_rhs = (get_global_id(0) / (uint)H0) + z_rhs * RHS_HEIGHT; |
| |
| // Initialize the accumulators |
| REPEAT_VAR_INIT_TO_CONST(M0, VEC_DATA_TYPE(DATA_TYPE_ACCUMULATOR, N0), c, 0); |
| |
| REPEAT_VAR_INIT_TO_CONST(M0, uint, zlhs, 0); //uint zlhs0=0,zlhs1=0,zlhs2=0,... zlhs7=0; |
| REPEAT_VAR_INIT_TO_CONST(16, uint, zero, 0); |
| |
| for(int i = 0; i < K; i += K0) |
| { |
| // Load values from LHS matrix |
| LOAD_BLOCK(M0, K0, DATA_TYPE, a, lhs_addr, 0, LHS_STEP_X * sizeof(DATA_TYPE), zlhs); |
| |
| // Load values from RHS matrix stored in a cl_image |
| REPEAT_VAR_INIT_TO_CONST(N0, VEC_DATA_TYPE(DATA_TYPE, K0), b, 0); |
| LOAD_TEXTURE2D(N0, PIXEL_UNIT, DATA_TYPE, b, rhs_img, x_rhs, y_rhs, RHS_STEP_X, 0); |
| |
| // Accumulate |
| ARM_DOT_K0XN0(a0, b, c0); |
| #if M0 > 1 |
| ARM_DOT_K0XN0(a1, b, c1); |
| #endif // M0 > 1 |
| #if M0 > 2 |
| ARM_DOT_K0XN0(a2, b, c2); |
| #endif // M0 > 2 |
| #if M0 > 3 |
| ARM_DOT_K0XN0(a3, b, c3); |
| #endif // M0 > 3 |
| #if M0 > 4 |
| ARM_DOT_K0XN0(a4, b, c4); |
| #endif // M0 > 4 |
| #if M0 > 5 |
| ARM_DOT_K0XN0(a5, b, c5); |
| #endif // M0 > 5 |
| #if M0 > 6 |
| ARM_DOT_K0XN0(a6, b, c6); |
| #endif // M0 > 6 |
| #if M0 > 7 |
| ARM_DOT_K0XN0(a7, b, c7); |
| #endif // M0 > 7 |
| |
| lhs_addr += (M0 * LHS_STEP_X * LHS_STEP_LOOP) * sizeof(DATA_TYPE); |
| |
| x_rhs += N0 * RHS_STEP_X * RHS_STEP_LOOP; |
| } |
| |
| __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + (get_global_id(0) * (uint)N0 * sizeof(DATA_TYPE)) + (get_global_id(1) * (uint)M0 * dst_stride_y); |
| |
| REPEAT_VAR_INIT_TO_CONST(M0, uint, zout, 0); |
| |
| const bool cond_y = ((get_global_id(1) + 1) * M0 >= M); |
| const bool cond_x = ((get_global_id(0) + 1) * N0 >= N); |
| |
| #if defined(REINTERPRET_OUTPUT_AS_3D) |
| |
| // The plane (zin) is calculated dividing M (y * M0) by HEIGHT_GEMM3D |
| CALCULATE_Z_OFFSET(M0, uint, zout, get_global_id(1) * (uint)M0, HEIGHT_GEMM3D, DEPTH_GEMM3D, dst_cross_plane_pad, dst_stride_y); |
| // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we |
| // multiply dst_stride_z by DEPTH_GEMM3D |
| dst_addr += get_global_id(2) * dst_stride_z * DEPTH_GEMM3D; |
| |
| #else // defined(REINTERPRET_OUTPUT_AS_3D) |
| |
| // Add offset for batched GEMM |
| dst_addr += get_global_id(2) * dst_stride_z; |
| |
| #endif // defined(REINTERPRET_OUTPUT_AS_3D) |
| |
| // Multiply by the weight of matrix-matrix product and store the result |
| #if defined(ALPHA) |
| SCALE_BLOCK(M0, DATA_TYPE, c, ALPHA); |
| #endif // defined(ALPHA) |
| |
| // Add beta*bias |
| #if defined(BETA) |
| #if defined(BROADCAST_BIAS) |
| __global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (get_global_id(0) * (uint)N0 * sizeof(DATA_TYPE)); |
| |
| LOAD_BLOCK_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] |
| #if defined(MIXED_PRECISION) |
| CONVERT_BLOCK(1, N0, DATA_TYPE_ACCUMULATOR, bias, bias_hp); |
| ADD_BLOCK_BROADCAST(M0, c, bias_hp0); |
| #else // defined(MIXED_PRECISION) |
| ADD_BLOCK_BROADCAST(M0, c, bias0); |
| #endif // defined(MIXED_PRECISION) |
| |
| #else // defined(BROADCAST_BIAS) |
| __global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (get_global_id(0) * (uint)N0 * sizeof(DATA_TYPE)) + (get_global_id(1) * (uint)M0 * bias_stride_y) + get_global_id( |
| 2) * bias_stride_z; |
| |
| LOAD_BLOCK_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 |
| #if defined(MIXED_PRECISION) |
| CONVERT_BLOCK(M0, N0, DATA_TYPE_ACCUMULATOR, bias, bias_hp); |
| ADD_BLOCK(M0, c, bias_hp); |
| #else // defined(MIXED_PRECISION) |
| ADD_BLOCK(M0, c, bias); |
| #endif // defined(MIXED_PRECISION) |
| |
| #endif // defined(BROADCAST_BIAS) |
| #endif // defined(BETA) |
| |
| #if defined(ACTIVATION_TYPE) |
| #if defined(MIXED_PRECISION) |
| ACTIVATION_BLOCK(M0, ACTIVATION_TYPE, DATA_TYPE_ACCUMULATOR, N0, c, A_VAL, B_VAL); |
| #else // defined(MIXED_PRECISION) |
| ACTIVATION_BLOCK(M0, ACTIVATION_TYPE, DATA_TYPE, N0, c, A_VAL, B_VAL); |
| #endif // defined(MIXED_PRECISION) |
| #endif // defined(ACTIVATION_TYPE) |
| |
| // Store output block |
| #if defined(MIXED_PRECISION) |
| CONVERT_BLOCK(M0, N0, DATA_TYPE, c, c_lp); |
| STORE_BLOCK_BOUNDARY_AWARE(M0, N0, DATA_TYPE, c_lp, dst_addr, dst_stride_y, zout, PARTIAL_STORE_M0, PARTIAL_STORE_N0, cond_y, cond_x); |
| #else // defined(MIXED_PRECISION) |
| STORE_BLOCK_BOUNDARY_AWARE(M0, N0, DATA_TYPE, c, dst_addr, dst_stride_y, zout, PARTIAL_STORE_M0, PARTIAL_STORE_N0, cond_y, cond_x); |
| #endif // defined(MIXED_PRECISION) |
| |
| #undef LHS_BLOCK_SIZE |
| #undef LHS_OFFSET_X |
| #undef LHS_STEP_X |
| #undef RHS_BLOCK_SIZE |
| #undef RHS_OFFSET_X |
| #undef RHS_STEP_X |
| #undef PIXEL_UNIT |
| #undef LHS_STEP_LOOP |
| #undef RHS_STEP_LOOP |
| } |
| #endif // defined(OPENCL_IMAGE_SUPPORT) && defined(GEMM_MM_RESHAPED_LHS_NT_RHS_T_TEXTURE) |
| |
| #if defined(LHS_TRANSPOSE) |
| |
| #define VTYPE(TYPE, SIZE) VEC_DATA_TYPE(TYPE, SIZE) |
| |
| #if defined(MIXED_PRECISION) |
| |
| #if(GPU_ARCH == GPU_ARCH_MIDGARD) |
| #define ARM_VFMA(N0, a, b, c) c += (CONVERT(a, VEC_DATA_TYPE(DATA_TYPE_ACCUMULATOR, N0))) * (CONVERT(b, VEC_DATA_TYPE(DATA_TYPE_ACCUMULATOR, N0))); |
| #else // GPU_ARCH == GPU_ARCH_MIDGARD |
| #define ARM_VFMA(N0, a, b, c) c = fma((CONVERT(a, VEC_DATA_TYPE(DATA_TYPE_ACCUMULATOR, N0))), (CONVERT(b, VEC_DATA_TYPE(DATA_TYPE_ACCUMULATOR, N0))), (c)); |
| #endif // GPU_ARCH == GPU_ARCH_MIDGARD |
| |
| #else // defined(MIXED_PRECISION |
| |
| #if(GPU_ARCH == GPU_ARCH_MIDGARD) |
| #define ARM_VFMA(N0, a, b, c) c += (a) * (b); |
| #else // GPU_ARCH == GPU_ARCH_MIDGARD |
| #define ARM_VFMA(N0, a, b, c) c = fma((a), (b), (c)); |
| #endif // GPU_ARCH == GPU_ARCH_MIDGARD |
| |
| #endif // defined(MIXED_PRECISION) |
| |
| #define ARM_VVM_T_NT_1xN0x1(N0, TYPE, a, b, C) \ |
| ({ \ |
| ARM_VFMA(N0, (VTYPE(TYPE, N0))(a), b, (C##0)); \ |
| }) |
| #define ARM_VVM_T_NT_2xN0x1(N0, TYPE, a, b, C) \ |
| ({ \ |
| ARM_VFMA(N0, (VTYPE(TYPE, N0))(a.s0), b, (C##0)); \ |
| ARM_VFMA(N0, (VTYPE(TYPE, N0))(a.s1), b, (C##1)); \ |
| }) |
| #define ARM_VVM_T_NT_3xN0x1(N0, TYPE, a, b, C) \ |
| ({ \ |
| ARM_VVM_T_NT_2xN0x1(N0, TYPE, a, b, C); \ |
| ARM_VFMA(N0, (VTYPE(TYPE, N0))(a.s2), b, (C##2)); \ |
| }) |
| #define ARM_VVM_T_NT_4xN0x1(N0, TYPE, a, b, C) \ |
| ({ \ |
| ARM_VVM_T_NT_3xN0x1(N0, TYPE, a, b, C); \ |
| ARM_VFMA(N0, (VTYPE(TYPE, N0))(a.s3), b, (C##3)); \ |
| }) |
| #define ARM_VVM_T_NT_8xN0x1(N0, TYPE, a, b, C) \ |
| ({ \ |
| ARM_VVM_T_NT_4xN0x1(N0, TYPE, a, b, C); \ |
| ARM_VFMA(N0, (VTYPE(TYPE, N0))(a.s4), b, (C##4)); \ |
| ARM_VFMA(N0, (VTYPE(TYPE, N0))(a.s5), b, (C##5)); \ |
| ARM_VFMA(N0, (VTYPE(TYPE, N0))(a.s6), b, (C##6)); \ |
| ARM_VFMA(N0, (VTYPE(TYPE, N0))(a.s7), b, (C##7)); \ |
| }) |
| |
| // Factory macro for the column-vector (transposed) by row-vector (not transposed) multiplication. K0 = 1 |
| // a is the column-vector (transposed) |
| // b is the row-vector (not transposed) |
| // C is the output matrix |
| // Lower case is a vector (a, b) |
| // Upper case is a matrix (C) |
| #define ARM_VVM_T_NT_M0xN0x1(M0, N0, TYPE, a, b, C) ARM_VVM_T_NT_##M0##xN0x1(N0, TYPE, a, b, C) |
| |
| #define ARM_MM_T_NT_M0xN0x1(M0, N0, TYPE, A, B, C) \ |
| ({ \ |
| ARM_VVM_T_NT_M0xN0x1(M0, N0, TYPE, (A##0), (B##0), C); \ |
| }) |
| #define ARM_MM_T_NT_M0xN0x2(M0, N0, TYPE, A, B, C) \ |
| ({ \ |
| ARM_MM_T_NT_M0xN0x1(M0, N0, TYPE, A, B, C); \ |
| ARM_VVM_T_NT_M0xN0x1(M0, N0, TYPE, (A##1), (B##1), C); \ |
| }) |
| #define ARM_MM_T_NT_M0xN0x3(M0, N0, TYPE, A, B, C) \ |
| ({ \ |
| ARM_MM_T_NT_M0xN0x2(M0, N0, TYPE, A, B, C); \ |
| ARM_VVM_T_NT_M0xN0x1(M0, N0, TYPE, (A##2), (B##2), C); \ |
| }) |
| #define ARM_MM_T_NT_M0xN0x4(M0, N0, TYPE, A, B, C) \ |
| ({ \ |
| ARM_MM_T_NT_M0xN0x3(M0, N0, TYPE, A, B, C); \ |
| ARM_VVM_T_NT_M0xN0x1(M0, N0, TYPE, (A##3), (B##3), C); \ |
| }) |
| #define ARM_MM_T_NT_M0xN0x8(M0, N0, TYPE, A, B, C) \ |
| ({ \ |
| ARM_MM_T_NT_M0xN0x4(M0, N0, TYPE, A, B, C); \ |
| ARM_VVM_T_NT_M0xN0x1(M0, N0, TYPE, (A##4), (B##4), C); \ |
| ARM_VVM_T_NT_M0xN0x1(M0, N0, TYPE, (A##5), (B##5), C); \ |
| ARM_VVM_T_NT_M0xN0x1(M0, N0, TYPE, (A##6), (B##6), C); \ |
| ARM_VVM_T_NT_M0xN0x1(M0, N0, TYPE, (A##7), (B##7), C); \ |
| }) |
| #define ARM_MM_T_NT_M0xN0x16(M0, N0, TYPE, A, B, C) \ |
| ({ \ |
| ARM_MM_T_NT_M0xN0x8(M0, N0, TYPE, A, B, C); \ |
| ARM_MM_T_NT_M0xN0x1(M0, N0, TYPE, (A##8), (B##8), C); \ |
| ARM_MM_T_NT_M0xN0x1(M0, N0, TYPE, (A##9), (B##9), C); \ |
| ARM_MM_T_NT_M0xN0x1(M0, N0, TYPE, (A##A), (B##A), C); \ |
| ARM_MM_T_NT_M0xN0x1(M0, N0, TYPE, (A##B), (B##B), C); \ |
| ARM_MM_T_NT_M0xN0x1(M0, N0, TYPE, (A##C), (B##C), C); \ |
| ARM_MM_T_NT_M0xN0x1(M0, N0, TYPE, (A##D), (B##D), C); \ |
| ARM_MM_T_NT_M0xN0x1(M0, N0, TYPE, (A##E), (B##E), C); \ |
| ARM_MM_T_NT_M0xN0x1(M0, N0, TYPE, (A##F), (B##F), C); \ |
| }) |
| |
| // Factory macro for the matrix (transposed) by matrix (not transposed) multiplication. |
| // The dimensions for this matrix multiplications are defined through M0, N0 and K0 |
| // The dimensions supported are: |
| // M0: 1, 2, 3, 4, 8 |
| // N0: 1, 2, 3, 4, 8, 16 |
| // K0: 1, 2, 3, 4, 8, 16 |
| // This macro calls the vector-by-matrix macro K0 times |
| // A, B and C are matrices |
| #define ARM_MM_T_NT(M0, N0, K0, TYPE, A, B, C) \ |
| CONCAT(ARM_MM_T_NT_M0xN0x, K0) \ |
| (M0, N0, TYPE, A, B, C) |
| |
| #if defined(GEMM_MM_RESHAPED_LHS_T_RHS_NT) |
| /** This OpenCL kernel computes the matrix multiplication between 2 matrices. |
| * The LHS matrix must be reshaped with @ref CLGEMMReshapeLHSMatrixKernel and the M0xK0 must be transposed |
| * The RHS matrix must be reshaped with @ref CLGEMMReshapeRHSMatrixKernel and the K0xN0 must be NOT transposed |
| * |
| * @note LHS_TRANSPOSE should be passed at compile time in order to compile this OpenCL kernel (e.g. -DLHS_TRANSPOSE). |
| * @note If the first two dimensions of NDRange have been dispatched with "dummy_work_items" support, the option -DDUMMY_WORK_ITEMS must be passed at compile time. |
| * @note The GEMM's dimensions M, N and K must be passed at compile time using -DM, -DN and -DK (e.g. -DM=52, -DN=90 and -DK=24). |
| * @note The block's dimensions used for reshaping the LHS matrix and the RHS matrix (M0, N0 and K0) must be passed at compile time using -DM0, -DN0 and -DK0 (e.g. -DM0=4, -DN0=8, -DK0=4). |
| * @note The number of M0xK0 vertical blocks stored on the same output row of the reshaped LHS matrix must be passed at compile time using -DV0 (e.g. -DV0=2) |
| * @note The number of K0xN0 horizontal blocks stored on the same output row of the reshaped RHS matrix must be passed at compile time using -DH0 (e.g. -DH0=2) |
| * @note If the M0xK0 blocks in the reshaped LHS matrix have been interleaved, the option -DLHS_INTERLEAVE must passed at compile time. |
| * @note If the K0xN0 blocks in the reshaped RHS matrix have been interleaved, the option -DRHS_INTERLEAVE must passed at compile time. |
| * @note The size of the partial store block in y must be passed at compile time using -DPARTIAL_STORE_M0 (e.g. -DPARTIAL_STORE_M0=1) |
| * @note The size of the partial store block in x must be passed at compile time using -DPARTIAL_STORE_N0 (e.g. -DPARTIAL_STORE_N0=1) |
| * @note Only the following configurations of M0, N0 and K0 are currently supported: |
| * - M0 = 2, 3, 4, 8 |
| * - N0 = 2, 3, 4, 8, 16 |
| * - K0 = 2, 3, 4, 8, 16 |
| * - V0 >= 1 |
| * - H0 >= 1 |
| * |
| * @note If the activation type were passed at compile time through -DACTIVATION_TYPE (e.g. -DACTIVATION_TYPE=RELU), A, B variables, required by some activation functions, should be passed at compile time as well using -DA_VAL= and -DB_VAL= respectively. |
| * The activation function is performed after the bias addition |
| * @note In case the output has to be reinterpreted as a 3D tensor (e.g. output of convolution layer), the following information must be passed at compile time: |
| * -# REINTERPRET_OUTPUT_AS_3D: To reinterpret the output as 3D |
| * -# HEIGHT_GEMM3D: The height of the output in case it has to be reinterpreted as a 3D tensor. |
| * -# DEPTH_GEMM3D: The depth of the output in case it has to be reinterpreted as a 3D tensor |
| * (HEIGHT_GEMM3D * DEPTH_GEMM3D) = columns LHS matrix NOT reshaped |
| * |
| * @param[in] lhs_ptr Pointer to the LHS reshaped matrix. Supported data type: F16/F32 |
| * @param[in] lhs_stride_x Stride of the LHS reshaped matrix in X dimension (in bytes) |
| * @param[in] lhs_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] lhs_stride_y Stride of the LHS reshaped matrix in Y dimension (in bytes) |
| * @param[in] lhs_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] lhs_offset_first_element_in_bytes The offset of the first element in the LHS reshaped matrix |
| * @param[in] rhs_ptr Pointer to the RHS reshaped matrix. Supported data type: same as @p lhs_ptr |
| * @param[in] rhs_stride_x Stride of the RHS reshaped matrix in X dimension (in bytes) |
| * @param[in] rhs_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] rhs_stride_y Stride of the RHS reshaped matrix in Y dimension (in bytes) |
| * @param[in] rhs_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] rhs_offset_first_element_in_bytes The offset of the first element in the RHS reshaped matrix |
| * @param[in] bias_ptr (Optional) Pointer to the bias matrix. Supported data type: same as @p lhs_ptr |
| * @param[in] bias_stride_x (Optional) Stride of the bias matrix in X dimension (in bytes) |
| * @param[in] bias_step_x (Optional) bias_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] bias_stride_y (Optional) Stride of the bias matrix in Y dimension (in bytes) |
| * @param[in] bias_step_y (Optional) bias_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] bias_offset_first_element_in_bytes (Optional) The offset of the first element in the bias matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data type: same as @p lhs_ptr |
| * @param[in] dst_stride_x Stride of the destination matrix in X dimension (in bytes) |
| * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination matrix in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination matrix |
| * @param[in] lhs_stride_z Stride of the LHS reshaped matrix in Z dimension (in bytes) |
| * @param[in] rhs_stride_z Stride of the RHS reshaped matrix in Z dimension (in bytes) |
| * @param[in] bias_stride_z (Optional) Stride of the bias matrix in Z dimension (in bytes) |
| * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| * @param[in] dst_cross_plane_pad (Optional) Bottom paddings in unit of elements (only if defined REINTERPRET_OUTPUT_AS_3D) |
| * @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_lhs_t_rhs_nt(IMAGE_DECLARATION(lhs), |
| IMAGE_DECLARATION(rhs), |
| #if defined(BETA) |
| IMAGE_DECLARATION(bias), |
| #endif // defined(BETA) |
| IMAGE_DECLARATION(dst), |
| uint lhs_stride_z, |
| uint rhs_stride_z, |
| #if defined(BETA) |
| uint bias_stride_z, |
| #endif //defined(BETA) |
| uint dst_stride_z |
| #if defined(REINTERPRET_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 LHS_BLOCK_SIZE ((K0) * (M0)) |
| |
| #if defined(LHS_INTERLEAVE) |
| #define LHS_OFFSET_X (M0) |
| #define LHS_STEP_X ((M0) * (V0)) |
| #define LHS_STEP_LOOP (1) |
| #else // defined(INTERLEAVE) |
| #define LHS_OFFSET_X (LHS_BLOCK_SIZE) |
| #define LHS_STEP_X (M0) |
| #define LHS_STEP_LOOP (V0) |
| #endif // defined(INTERLEAVE) |
| |
| // Block size |
| #define RHS_BLOCK_SIZE ((K0) * (N0)) |
| |
| // RHS offset and step X |
| #if defined(RHS_INTERLEAVE) |
| #define RHS_OFFSET_X (N0) |
| #define RHS_STEP_X ((N0) * (H0)) |
| #else // defined(RHS_INTERLEAVE) |
| #define RHS_OFFSET_X (RHS_BLOCK_SIZE) |
| #define RHS_STEP_X (N0) |
| #endif // defined(RHS_INTERLEAVE) |
| |
| const uint x = get_global_id(0); |
| const uint y = get_global_id(1); |
| const uint z = get_global_id(2); |
| |
| const bool cond_y = ((get_global_id(1) + 1) * M0 >= M); |
| const bool cond_x = ((get_global_id(0) + 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 |
| __global uchar *lhs_addr = lhs_ptr + lhs_offset_first_element_in_bytes + (y % V0) * (uint)LHS_OFFSET_X * sizeof(DATA_TYPE) + (y / V0) * (uint)lhs_stride_y + (z * lhs_stride_z); |
| |
| // Compute RHS matrix address |
| __global uchar *rhs_addr = rhs_ptr + rhs_offset_first_element_in_bytes + (x % H0) * (uint)RHS_OFFSET_X * sizeof(DATA_TYPE) + (x / (uint)H0) * rhs_stride_y; |
| |
| #if defined(MATRIX_B_DEPTH) |
| // Do not slide matrix B if the matrix B has 3 dimensions and matrix A more than 3 |
| rhs_addr += (z % MATRIX_B_DEPTH) * rhs_stride_z; |
| #else // defined(MATRIX_B_DEPTH) |
| rhs_addr += z * rhs_stride_z; |
| #endif // defined(MATRIX_B_DEPTH) |
| |
| // Initialize the accumulators |
| REPEAT_VAR_INIT_TO_CONST(M0, VEC_DATA_TYPE(DATA_TYPE_ACCUMULATOR, N0), c, 0); |
| |
| REPEAT_VAR_INIT_TO_CONST(M0, uint, zero, 0); |
| |
| __global DATA_TYPE *lhs = (__global DATA_TYPE *)(lhs_addr); |
| __global DATA_TYPE *rhs = (__global DATA_TYPE *)(rhs_addr); |
| |
| for(int i = 0; i < K; i += K0) |
| { |
| VEC_DATA_TYPE(DATA_TYPE, M0) |
| a0; |
| VEC_DATA_TYPE(DATA_TYPE, N0) |
| b0; |
| |
| a0 = VLOAD(M0)(0, lhs); |
| b0 = VLOAD(N0)(0, rhs); |
| |
| ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); |
| |
| lhs += LHS_STEP_X; |
| rhs += RHS_STEP_X; |
| |
| #if K0 > 1 |
| a0 = VLOAD(M0)(0, lhs); |
| b0 = VLOAD(N0)(0, rhs); |
| |
| ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); |
| |
| lhs += LHS_STEP_X; |
| rhs += RHS_STEP_X; |
| #endif // K0 > 1 |
| |
| #if K0 > 2 |
| a0 = VLOAD(M0)(0, lhs); |
| b0 = VLOAD(N0)(0, rhs); |
| |
| ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); |
| |
| lhs += LHS_STEP_X; |
| rhs += RHS_STEP_X; |
| #endif // K0 > 2 |
| |
| #if K0 > 3 |
| a0 = VLOAD(M0)(0, lhs); |
| b0 = VLOAD(N0)(0, rhs); |
| |
| ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); |
| |
| lhs += LHS_STEP_X; |
| rhs += RHS_STEP_X; |
| #endif // K0 > 3 |
| |
| #if K0 > 4 |
| a0 = VLOAD(M0)(0, lhs); |
| b0 = VLOAD(N0)(0, rhs); |
| |
| ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); |
| |
| lhs += LHS_STEP_X; |
| rhs += RHS_STEP_X; |
| |
| a0 = VLOAD(M0)(0, lhs); |
| b0 = VLOAD(N0)(0, rhs); |
| |
| ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); |
| |
| lhs += LHS_STEP_X; |
| rhs += RHS_STEP_X; |
| |
| a0 = VLOAD(M0)(0, lhs); |
| b0 = VLOAD(N0)(0, rhs); |
| |
| ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); |
| |
| lhs += LHS_STEP_X; |
| rhs += RHS_STEP_X; |
| |
| a0 = VLOAD(M0)(0, lhs); |
| b0 = VLOAD(N0)(0, rhs); |
| |
| ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); |
| |
| lhs += LHS_STEP_X; |
| rhs += RHS_STEP_X; |
| #endif // K0 > 4 |
| |
| #if K0 > 8 |
| a0 = VLOAD(M0)(0, lhs); |
| b0 = VLOAD(N0)(0, rhs); |
| |
| ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); |
| |
| lhs += LHS_STEP_X; |
| rhs += RHS_STEP_X; |
| |
| a0 = VLOAD(M0)(0, lhs); |
| b0 = VLOAD(N0)(0, rhs); |
| |
| ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); |
| |
| lhs += LHS_STEP_X; |
| rhs += RHS_STEP_X; |
| |
| a0 = VLOAD(M0)(0, lhs); |
| b0 = VLOAD(N0)(0, rhs); |
| |
| ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); |
| |
| lhs += LHS_STEP_X; |
| rhs += RHS_STEP_X; |
| |
| a0 = VLOAD(M0)(0, lhs); |
| b0 = VLOAD(N0)(0, rhs); |
| |
| ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); |
| |
| lhs += LHS_STEP_X; |
| rhs += RHS_STEP_X; |
| |
| a0 = VLOAD(M0)(0, lhs); |
| b0 = VLOAD(N0)(0, rhs); |
| |
| ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); |
| |
| lhs += LHS_STEP_X; |
| rhs += RHS_STEP_X; |
| |
| a0 = VLOAD(M0)(0, lhs); |
| b0 = VLOAD(N0)(0, rhs); |
| |
| ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); |
| |
| lhs += LHS_STEP_X; |
| rhs += RHS_STEP_X; |
| |
| a0 = VLOAD(M0)(0, lhs); |
| b0 = VLOAD(N0)(0, rhs); |
| |
| ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); |
| |
| lhs += LHS_STEP_X; |
| rhs += RHS_STEP_X; |
| |
| a0 = VLOAD(M0)(0, lhs); |
| b0 = VLOAD(N0)(0, rhs); |
| |
| ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); |
| |
| lhs += LHS_STEP_X; |
| rhs += RHS_STEP_X; |
| #endif // K0 > 8 |
| |
| #ifndef LHS_INTERLEAVE |
| lhs += (M0 * K0 * (V0 - 1)); |
| #endif // LHS_INTERLEAVE |
| |
| #ifndef RHS_INTERLEAVE |
| rhs += (N0 * K0 * (H0 - 1)); |
| #endif // RHS_INTERLEAVE |
| } |
| |
| __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + (x * (uint)N0 * sizeof(DATA_TYPE)) + (y * (uint)M0 * dst_stride_y); |
| |
| REPEAT_VAR_INIT_TO_CONST(M0, uint, zout, 0); |
| |
| #if defined(REINTERPRET_OUTPUT_AS_3D) |
| |
| // The plane (zin) is calculated dividing M (y * M0) by HEIGHT_GEMM3D |
| CALCULATE_Z_OFFSET(M0, uint, zout, y * (uint)M0, HEIGHT_GEMM3D, DEPTH_GEMM3D, dst_cross_plane_pad, dst_stride_y); |
| // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we |
| // multiply dst_stride_z by DEPTH_GEMM3D |
| dst_addr += z * dst_stride_z * DEPTH_GEMM3D; |
| |
| #else // defined(REINTERPRET_OUTPUT_AS_3D) |
| |
| // Add offset for batched GEMM |
| dst_addr += z * dst_stride_z; |
| |
| #endif // defined(REINTERPRET_OUTPUT_AS_3D) |
| |
| // Multiply by the weight of matrix-matrix product and store the result |
| #if defined(ALPHA) |
| SCALE_BLOCK(M0, DATA_TYPE, c, ALPHA); |
| #endif // defined(ALPHA) |
| |
| // Add beta*bias |
| #if defined(BETA) |
| #if defined(BROADCAST_BIAS) |
| __global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (x * (uint)N0 * sizeof(DATA_TYPE)); |
| |
| LOAD_BLOCK_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] |
| #if defined(MIXED_PRECISION) |
| CONVERT_BLOCK(1, N0, DATA_TYPE_ACCUMULATOR, bias, bias_hp); |
| ADD_BLOCK_BROADCAST(M0, c, bias_hp0); |
| #else // defined(MIXED_PRECISION) |
| ADD_BLOCK_BROADCAST(M0, c, bias0); |
| #endif // defined(MIXED_PRECISION) |
| |
| #else // defined(BROADCAST_BIAS) |
| __global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (get_global_id(0) * (uint)N0 * sizeof(DATA_TYPE)) + (get_global_id(1) * (uint)M0 * bias_stride_y) + get_global_id( |
| 2) * bias_stride_z; |
| |
| LOAD_BLOCK_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 |
| |
| #if defined(MIXED_PRECISION) |
| CONVERT_BLOCK(M0, N0, DATA_TYPE_ACCUMULATOR, bias, bias_hp); |
| ADD_BLOCK(M0, c, bias_hp); |
| #else // defined(MIXED_PRECISION) |
| ADD_BLOCK(M0, c, bias); |
| #endif // defined(MIXED_PRECISION) |
| |
| #endif // defined(BROADCAST_BIAS) |
| #endif // defined(BETA) |
| |
| #if defined(ACTIVATION_TYPE) |
| #if defined(MIXED_PRECISION) |
| ACTIVATION_BLOCK(M0, ACTIVATION_TYPE, DATA_TYPE_ACCUMULATOR, N0, c, A_VAL, B_VAL); |
| #else // defined(MIXED_PRECISION) |
| ACTIVATION_BLOCK(M0, ACTIVATION_TYPE, DATA_TYPE, N0, c, A_VAL, B_VAL); |
| #endif // defined(MIXED_PRECISION) |
| #endif // defined(ACTIVATION_TYPE) |
| |
| // Store output block |
| #if defined(MIXED_PRECISION) |
| CONVERT_BLOCK(M0, N0, DATA_TYPE, c, c_lp); |
| STORE_BLOCK_BOUNDARY_AWARE(M0, N0, DATA_TYPE, c_lp, dst_addr, dst_stride_y, zout, PARTIAL_STORE_M0, PARTIAL_STORE_N0, cond_y, cond_x); |
| #else // defined(MIXED_PRECISION) |
| STORE_BLOCK_BOUNDARY_AWARE(M0, N0, DATA_TYPE, c, dst_addr, dst_stride_y, zout, PARTIAL_STORE_M0, PARTIAL_STORE_N0, cond_y, cond_x); |
| #endif // defined(MIXED_PRECISION) |
| |
| #undef LHS_BLOCK_SIZE |
| #undef LHS_OFFSET_X |
| #undef LHS_STEP_X |
| #undef RHS_BLOCK_SIZE |
| #undef RHS_OFFSET_X |
| #undef RHS_STEP_X |
| } |
| #endif // defined(GEMM_MM_RESHAPED_LHS_T_RHS_NT) |
| |
| #if defined(OPENCL_IMAGE_SUPPORT) && defined(GEMM_MM_RESHAPED_LHS_T_RHS_NT_TEXTURE) |
| /** This OpenCL kernel computes the matrix multiplication between 2 matrices. The RHS matrix is stored in OpenCL image object. |
| * The LHS matrix must be reshaped with @ref CLGEMMReshapeLHSMatrixKernel and the M0xK0 must be transposed |
| * The RHS matrix must be reshaped with @ref CLGEMMReshapeRHSMatrixKernel and the K0xN0 must be NOT transposed |
| * |
| * @note -DOPENCL_IMAGE_SUPPORT must be passed at compile time in order to compile this OpenCL kernel |
| * @note LHS_TRANSPOSE should be passed at compile time in order to compile this OpenCL kernel (e.g. -DLHS_TRANSPOSE). |
| * @note If the first two dimensions of NDRange have been dispatched with "dummy_work_items" support, the option -DDUMMY_WORK_ITEMS must be passed at compile time. |
| * @note The GEMM's dimensions M, N and K must be passed at runtime. |
| * @note The height of the RHS matrix, defined before creating the OpenCL image object from the OpenCL buffer, should be passed at compile time using -DRHS_HEIGHT=<value> (e.g. -DRHS_HEIGHT=32) |
| * Since we cannot create a 3d image from a buffer, the third dimension could be collapsed with the second dimension so RHS_HEIGHT |
| * could be different from the value returned by get_image_height(rhs_img). |
| * @note The block's dimensions used for reshaping the LHS matrix and the RHS matrix (M0, N0 and K0) must be passed at compile time using -DM0, -DN0 and -DK0 (e.g. -DM0=4, -DN0=8, -DK0=4). |
| * @note The number of M0xK0 vertical blocks stored on the same output row of the reshaped LHS matrix must be passed at compile time using -DV0 (e.g. -DV0=2) |
| * @note The number of K0xN0 horizontal blocks stored on the same output row of the reshaped RHS matrix must be passed at compile time using -DH0 (e.g. -DH0=2) |
| * @note If the M0xK0 blocks in the reshaped LHS matrix have been interleaved, the option -DLHS_INTERLEAVE must passed at compile time. |
| * @note If the K0xN0 blocks in the reshaped RHS matrix have been interleaved, the option -DRHS_INTERLEAVE must passed at compile time. |
| * @note The size of the partial store block in y must be passed at compile time using -DPARTIAL_STORE_M0 (e.g. -DPARTIAL_STORE_M0=1) |
| * @note The size of the partial store block in x must be passed at compile time using -DPARTIAL_STORE_N0 (e.g. -DPARTIAL_STORE_N0=1) |
| * @note Only the following configurations of M0, N0 and K0 are currently supported: |
| * - M0 = 2, 3, 4, 8 |
| * - N0 = 4, 8, 16 |
| * - K0 = 4, 8, 16 |
| * - V0 >= 1 |
| * - H0 >= 1 |
| * |
| * @note If the activation type were passed at compile time through -DACTIVATION_TYPE (e.g. -DACTIVATION_TYPE=RELU), A, B variables, required by some activation functions, should be passed at compile time as well using -DA_VAL= and -DB_VAL= respectively. |
| * The activation function is performed after the bias addition |
| * @note In case the output has to be reinterpreted as a 3D tensor (e.g. output of convolution layer), the following information must be passed at compile time: |
| * -# REINTERPRET_OUTPUT_AS_3D: To reinterpret the output as 3D |
| * -# HEIGHT_GEMM3D: The height of the output in case it has to be reinterpreted as a 3D tensor. |
| * -# DEPTH_GEMM3D: The depth of the output in case it has to be reinterpreted as a 3D tensor |
| * (HEIGHT_GEMM3D * DEPTH_GEMM3D) = columns LHS matrix NOT reshaped |
| * |
| * @param[in] lhs_ptr Pointer to the LHS reshaped matrix. Supported data type: F32 |
| * @param[in] lhs_stride_x Stride of the LHS reshaped matrix in X dimension (in bytes) |
| * @param[in] lhs_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] lhs_stride_y Stride of the LHS reshaped matrix in Y dimension (in bytes) |
| * @param[in] lhs_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] lhs_offset_first_element_in_bytes The offset of the first element in the LHS reshaped matrix |
| * @param[in] rhs_img The RHS reshaped matrix as cl_image 2d. Supported data type: same as @p lhs_ptr |
| * @param[in] bias_ptr (Optional) Pointer to the bias matrix. Supported data type: same as @p lhs_ptr |
| * @param[in] bias_stride_x (Optional) Stride of the bias matrix in X dimension (in bytes) |
| * @param[in] bias_step_x (Optional) bias_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] bias_stride_y (Optional) Stride of the bias matrix in Y dimension (in bytes) |
| * @param[in] bias_step_y (Optional) bias_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] bias_offset_first_element_in_bytes (Optional) The offset of the first element in the bias matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data type: same as @p lhs_ptr |
| * @param[in] dst_stride_x Stride of the destination matrix in X dimension (in bytes) |
| * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination matrix in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination matrix |
| * @param[in] lhs_stride_z Stride of the LHS reshaped matrix in Z dimension (in bytes) |
| * @param[in] rhs_stride_z Stride of the RHS reshaped matrix in Z dimension (in bytes) |
| * @param[in] bias_stride_z (Optional) Stride of the bias matrix in Z dimension (in bytes) |
| * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| * @param[in] dst_cross_plane_pad (Optional) Bottom paddings in unit of elements (only if defined REINTERPRET_OUTPUT_AS_3D) |
| * @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_lhs_t_rhs_nt_texture(IMAGE_DECLARATION(lhs), |
| __read_only image2d_t rhs_img, |
| #if defined(BETA) |
| IMAGE_DECLARATION(bias), |
| #endif // defined(BETA) |
| IMAGE_DECLARATION(dst), |
| uint lhs_stride_z, |
| uint rhs_stride_z, |
| #if defined(BETA) |
| uint bias_stride_z, |
| #endif //defined(BETA) |
| uint dst_stride_z |
| #if defined(REINTERPRET_OUTPUT_AS_3D) |
| , |
| uint dst_cross_plane_pad |
| #endif // REINTERPRET_OUTPUT_AS_3D |
| , |
| const int M, |
| const int N, |
| const int K) |
| { |
| // Pixel unit |
| #define PIXEL_UNIT CONVERT_VECTOR_SIZE_TO_PIXEL_UNIT(N0) |
| |
| // Block size |
| #define LHS_BLOCK_SIZE ((K0) * (M0)) |
| |
| #if defined(LHS_INTERLEAVE) |
| #define LHS_OFFSET_X (M0) |
| #define LHS_STEP_X ((M0) * (V0)) |
| #define LHS_STEP_LOOP (1) |
| #else // defined(INTERLEAVE) |
| #define LHS_OFFSET_X (LHS_BLOCK_SIZE) |
| #define LHS_STEP_X (M0) |
| #define LHS_STEP_LOOP (V0) |
| #endif // defined(INTERLEAVE) |
| |
| // Block size |
| #define RHS_BLOCK_SIZE ((K0) * (PIXEL_UNIT)) |
| |
| // RHS offset and step X |
| #if defined(RHS_INTERLEAVE) |
| #define RHS_OFFSET_X (PIXEL_UNIT) |
| #define RHS_STEP_X ((PIXEL_UNIT) * (H0)) |
| #else // defined(RHS_INTERLEAVE) |
| #define RHS_OFFSET_X (RHS_BLOCK_SIZE) |
| #define RHS_STEP_X (PIXEL_UNIT) |
| #endif // defined(RHS_INTERLEAVE) |
| |
| const uint x = get_global_id(0); |
| const uint y = get_global_id(1); |
| const uint z = get_global_id(2); |
| |
| #if defined(DUMMY_WORK_ITEMS) |
| if((x * N0 >= N) || (y * M0 >= M)) |
| { |
| return; |
| } |
| #endif // defined(DUMMY_WORK_ITEMS) |
| |
| // Compute LHS matrix address |
| __global uchar *lhs_addr = lhs_ptr + lhs_offset_first_element_in_bytes + (y % V0) * (uint)LHS_OFFSET_X * sizeof(DATA_TYPE) + (y / V0) * (uint)lhs_stride_y + (z * lhs_stride_z); |
| |
| #if defined(MATRIX_B_DEPTH) |
| // Do not slide matrix B if the matrix B has 3 dimensions and matrix A more than 3 |
| const uint z_rhs = (z % MATRIX_B_DEPTH); |
| #else // defined(MATRIX_B_DEPTH) |
| const uint z_rhs = z; |
| #endif // defined(MATRIX_B_DEPTH) |
| |
| // Compute RHS matrix coordinates |
| uint x_rhs = (x % H0) * (uint)RHS_OFFSET_X; |
| const uint y_rhs = (x / (uint)H0) + z_rhs * RHS_HEIGHT; |
| |
| // Initialize the accumulators |
| REPEAT_VAR_INIT_TO_CONST(M0, VEC_DATA_TYPE(DATA_TYPE_ACCUMULATOR, N0), c, 0); |
| |
| REPEAT_VAR_INIT_TO_CONST(M0, uint, zero, 0); |
| |
| __global DATA_TYPE *lhs = (__global DATA_TYPE *)(lhs_addr); |
| |
| for(int i = 0; i < K; i += K0) |
| { |
| VEC_DATA_TYPE(DATA_TYPE, M0) |
| a0; |
| VEC_DATA_TYPE(DATA_TYPE, N0) |
| b0; |
| |
| a0 = VLOAD(M0)(0, lhs); |
| b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 0 * RHS_STEP_X), (y_rhs)); |
| |
| ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); |
| |
| lhs += LHS_STEP_X; |
| |
| #if K0 > 1 |
| a0 = VLOAD(M0)(0, lhs); |
| b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 1 * RHS_STEP_X), (y_rhs)); |
| |
| ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); |
| |
| lhs += LHS_STEP_X; |
| #endif // K0 > 1 |
| |
| #if K0 > 2 |
| a0 = VLOAD(M0)(0, lhs); |
| b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 2 * RHS_STEP_X), (y_rhs)); |
| |
| ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); |
| |
| lhs += LHS_STEP_X; |
| #endif // K0 > 2 |
| |
| #if K0 > 3 |
| a0 = VLOAD(M0)(0, lhs); |
| b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 3 * RHS_STEP_X), (y_rhs)); |
| |
| ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); |
| |
| lhs += LHS_STEP_X; |
| #endif // K0 > 3 |
| |
| #if K0 > 4 |
| a0 = VLOAD(M0)(0, lhs); |
| b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 4 * RHS_STEP_X), (y_rhs)); |
| |
| ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); |
| |
| lhs += LHS_STEP_X; |
| |
| a0 = VLOAD(M0)(0, lhs); |
| b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 5 * RHS_STEP_X), (y_rhs)); |
| |
| ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); |
| |
| lhs += LHS_STEP_X; |
| |
| a0 = VLOAD(M0)(0, lhs); |
| b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 6 * RHS_STEP_X), (y_rhs)); |
| |
| ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); |
| |
| lhs += LHS_STEP_X; |
| |
| a0 = VLOAD(M0)(0, lhs); |
| b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 7 * RHS_STEP_X), (y_rhs)); |
| |
| ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); |
| |
| lhs += LHS_STEP_X; |
| #endif // K0 > 4 |
| |
| #if K0 > 8 |
| a0 = VLOAD(M0)(0, lhs); |
| b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 8 * RHS_STEP_X), (y_rhs)); |
| |
| ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); |
| |
| lhs += LHS_STEP_X; |
| |
| a0 = VLOAD(M0)(0, lhs); |
| b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 9 * RHS_STEP_X), (y_rhs)); |
| |
| ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); |
| |
| lhs += LHS_STEP_X; |
| |
| a0 = VLOAD(M0)(0, lhs); |
| b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 10 * RHS_STEP_X), (y_rhs)); |
| |
| ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); |
| |
| lhs += LHS_STEP_X; |
| |
| a0 = VLOAD(M0)(0, lhs); |
| b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 11 * RHS_STEP_X), (y_rhs)); |
| |
| ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); |
| |
| lhs += LHS_STEP_X; |
| |
| a0 = VLOAD(M0)(0, lhs); |
| b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 12 * RHS_STEP_X), (y_rhs)); |
| |
| ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); |
| |
| lhs += LHS_STEP_X; |
| |
| a0 = VLOAD(M0)(0, lhs); |
| b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 13 * RHS_STEP_X), (y_rhs)); |
| |
| ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); |
| |
| lhs += LHS_STEP_X; |
| |
| a0 = VLOAD(M0)(0, lhs); |
| b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 14 * RHS_STEP_X), (y_rhs)); |
| |
| ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); |
| |
| lhs += LHS_STEP_X; |
| |
| a0 = VLOAD(M0)(0, lhs); |
| b0 = READ_IMAGE2D(DATA_TYPE, PIXEL_UNIT, rhs_img, (x_rhs + 15 * RHS_STEP_X), (y_rhs)); |
| |
| ARM_MM_T_NT(M0, N0, 1, DATA_TYPE, a, b, c); |
| |
| lhs += LHS_STEP_X; |
| #endif // K0 > 8 |
| |
| #ifndef LHS_INTERLEAVE |
| lhs += (M0 * K0 * (V0 - 1)); |
| #endif // LHS_INTERLEAVE |
| |
| x_rhs += K0 * RHS_STEP_X; |
| #ifndef RHS_INTERLEAVE |
| x_rhs += (PIXEL_UNIT * K0 * (H0 - 1)); |
| #endif // RHS_INTERLEAVE |
| } |
| |
| __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + (x * (uint)N0 * sizeof(DATA_TYPE)) + (y * (uint)M0 * dst_stride_y); |
| |
| REPEAT_VAR_INIT_TO_CONST(M0, uint, zout, 0); |
| |
| const bool cond_y = ((get_global_id(1) + 1) * M0 >= M); |
| const bool cond_x = ((get_global_id(0) + 1) * N0 >= N); |
| |
| #if defined(REINTERPRET_OUTPUT_AS_3D) |
| |
| // The plane (zin) is calculated dividing M (y * M0) by HEIGHT_GEMM3D |
| CALCULATE_Z_OFFSET(M0, uint, zout, y * (uint)M0, HEIGHT_GEMM3D, DEPTH_GEMM3D, dst_cross_plane_pad, dst_stride_y); |
| // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we |
| // multiply dst_stride_z by DEPTH_GEMM3D |
| dst_addr += z * dst_stride_z * DEPTH_GEMM3D; |
| |
| #else // defined(REINTERPRET_OUTPUT_AS_3D) |
| |
| // Add offset for batched GEMM |
| dst_addr += z * dst_stride_z; |
| |
| #endif // defined(REINTERPRET_OUTPUT_AS_3D) |
| |
| // Multiply by the weight of matrix-matrix product and store the result |
| #if defined(ALPHA) |
| SCALE_BLOCK(M0, DATA_TYPE, c, ALPHA); |
| #endif // defined(ALPHA) |
| |
| // Add beta*bias |
| #if defined(BETA) |
| #if defined(BROADCAST_BIAS) |
| __global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (x * (uint)N0 * sizeof(DATA_TYPE)); |
| |
| LOAD_BLOCK_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] |
| #if defined(MIXED_PRECISION) |
| CONVERT_BLOCK(1, N0, DATA_TYPE_ACCUMULATOR, bias, bias_hp); |
| ADD_BLOCK_BROADCAST(M0, c, bias_hp0); |
| #else // defined(MIXED_PRECISION) |
| ADD_BLOCK_BROADCAST(M0, c, bias0); |
| #endif // defined(MIXED_PRECISION) |
| |
| #else // defined(BROADCAST_BIAS) |
| __global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (x * (uint)N0 * sizeof(DATA_TYPE)) + (y * (uint)M0 * bias_stride_y) + z * bias_stride_z; |
| |
| LOAD_BLOCK_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 |
| |
| #if defined(MIXED_PRECISION) |
| CONVERT_BLOCK(M0, N0, DATA_TYPE_ACCUMULATOR, bias, bias_hp); |
| ADD_BLOCK(M0, c, bias_hp); |
| #else // defined(MIXED_PRECISION) |
| ADD_BLOCK(M0, c, bias); |
| #endif // defined(MIXED_PRECISION) |
| |
| #endif // defined(BROADCAST_BIAS) |
| #endif // defined(BETA) |
| |
| #if defined(ACTIVATION_TYPE) |
| #if defined(MIXED_PRECISION) |
| ACTIVATION_BLOCK(M0, ACTIVATION_TYPE, DATA_TYPE_ACCUMULATOR, N0, c, A_VAL, B_VAL); |
| #else // defined(MIXED_PRECISION) |
| ACTIVATION_BLOCK(M0, ACTIVATION_TYPE, DATA_TYPE, N0, c, A_VAL, B_VAL); |
| #endif // defined(MIXED_PRECISION) |
| #endif // defined(ACTIVATION_TYPE) |
| |
| // Store output block |
| #if defined(MIXED_PRECISION) |
| CONVERT_BLOCK(M0, N0, DATA_TYPE, c, c_lp); |
| STORE_BLOCK_BOUNDARY_AWARE(M0, N0, DATA_TYPE, c_lp, dst_addr, dst_stride_y, zout, PARTIAL_STORE_M0, PARTIAL_STORE_N0, cond_y, cond_x); |
| #else // defined(MIXED_PRECISION) |
| STORE_BLOCK_BOUNDARY_AWARE(M0, N0, DATA_TYPE, c, dst_addr, dst_stride_y, zout, PARTIAL_STORE_M0, PARTIAL_STORE_N0, cond_y, cond_x); |
| #endif // defined(MIXED_PRECISION) |
| |
| #undef LHS_BLOCK_SIZE |
| #undef LHS_OFFSET_X |
| #undef LHS_STEP_X |
| #undef RHS_BLOCK_SIZE |
| #undef RHS_OFFSET_X |
| #undef RHS_STEP_X |
| #undef PIXEL_UNIT |
| #undef LHS_STEP_LOOP |
| #undef RHS_STEP_LOOP |
| } |
| #endif // defined(OPENCL_IMAGE_SUPPORT) && defined(GEMM_MM_RESHAPED_LHS_T_RHS_NT_TEXTURE) |
| |
| #endif // defined(LHS_TRANSPOSE) |
| |
| #endif // defined(M0) && defined(N0) && defined(K0) && defined(V0) && defined(H0) && defined(DATA_TYPE) && defined(DATA_TYPE_ACCUMULATOR) |
| |
| #if defined(M0) && defined(N0) && defined(K0) && defined(DATA_TYPE) |
| |
| #define VFMA(a, b, c) \ |
| ({ \ |
| c = fma(a, b, c); \ |
| }) |
| |
| #if M0 == 1 |
| #define RHS_VFMA_M0xN0(i, a, b, c) \ |
| ({ \ |
| VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \ |
| }) |
| #elif M0 == 2 // M0 == 2 |
| #define RHS_VFMA_M0xN0(i, a, b, c) \ |
| ({ \ |
| VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \ |
| VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \ |
| }) |
| #elif M0 == 3 // M0 == 3 |
| #define RHS_VFMA_M0xN0(i, a, b, c) \ |
| ({ \ |
| VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \ |
| VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \ |
| VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##2).s##i), b, (c##2)); \ |
| }) |
| #elif M0 == 4 // M0 == 4 |
| #define RHS_VFMA_M0xN0(i, a, b, c) \ |
| ({ \ |
| VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \ |
| VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \ |
| VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##2).s##i), b, (c##2)); \ |
| VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##3).s##i), b, (c##3)); \ |
| }) |
| #elif M0 == 5 // M0 == 5 |
| #define RHS_VFMA_M0xN0(i, a, b, c) \ |
| ({ \ |
| VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \ |
| VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \ |
| VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##2).s##i), b, (c##2)); \ |
| VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##3).s##i), b, (c##3)); \ |
| VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##4).s##i), b, (c##4)); \ |
| }) |
| #elif M0 == 6 // M0 == 6 |
| #define RHS_VFMA_M0xN0(i, a, b, c) \ |
| ({ \ |
| VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \ |
| VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \ |
| VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##2).s##i), b, (c##2)); \ |
| VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##3).s##i), b, (c##3)); \ |
| VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##4).s##i), b, (c##4)); \ |
| VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##5).s##i), b, (c##5)); \ |
| }) |
| #elif M0 == 7 // M0 == 7 |
| #define RHS_VFMA_M0xN0(i, a, b, c) \ |
| ({ \ |
| VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \ |
| VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \ |
| VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##2).s##i), b, (c##2)); \ |
| VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##3).s##i), b, (c##3)); \ |
| VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##4).s##i), b, (c##4)); \ |
| VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##5).s##i), b, (c##5)); \ |
| VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##6).s##i), b, (c##6)); \ |
| }) |
| #elif M0 == 8 // M0 == 8 |
| #define RHS_VFMA_M0xN0(i, a, b, c) \ |
| ({ \ |
| VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \ |
| VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \ |
| VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##2).s##i), b, (c##2)); \ |
| VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##3).s##i), b, (c##3)); \ |
| VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##4).s##i), b, (c##4)); \ |
| VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##5).s##i), b, (c##5)); \ |
| VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##6).s##i), b, (c##6)); \ |
| VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##7).s##i), b, (c##7)); \ |
| }) |
| #else // M0 not supported |
| #error "M0 not supported" |
| #endif // M0 not supported |
| |
| #if defined(GEMM_MM_NATIVE) |
| /** This OpenCL kernel computes the matrix multiplication between 2 matrices. |
| * The LHS matrix is NOT reshaped |
| * The RHS matrix is NOT reshaped |
| * |
| * @note If the first two dimensions of NDRange have been dispatched with "dummy_work_items" support, the option -DDUMMY_WORK_ITEMS must be passed at compile time. |
| * @note The GEMM's dimensions (M,N and K) must be passed at runtime as kernel parameters. |
| * @note The number of M0 rows to process must be passed at compile time using -DM0 (e.g. -DM0=2) |
| * @note The number of K0 partial accumulations must be passed at compile time using -DK0 (e.g., -DK0=2) |
| * @note The number of N0 columns to process must be passed at compile time using -DN0 (e.g. -DN0=2) |
| * @note The size of the partial store block in y must be passed at compile time using -DPARTIAL_STORE_M0 (e.g. -DPARTIAL_STORE_M0=1) |
| * @note The size of the partial store block in x must be passed at compile time using -DPARTIAL_STORE_N0 (e.g. -DPARTIAL_STORE_N0=1) |
| * @note Only the following configurations of M0, N0 and K0 are currently supported: |
| * - M0 = 1, 2, 3, 4, 5, 6, 7, 8 |
| * - N0 = 2, 3, 4, 8, 16 |
| * - K0 = 2, 3, 4, 8, 16 |
| * |
| * @note If the activation type were passed at compile time through -DACTIVATION_TYPE (e.g. -DACTIVATION_TYPE=RELU), A, B variables, required by some activation functions, should be passed at compile time as well using -DA_VAL= and -DB_VAL= respectively. |
| * The activation function is performed after the bias addition |
| * @note In case the input or output have to be reinterpreted as a 3D tensor, the following information must be passed at compile time: |
| * -# REINTERPRET_INPUT_AS_3D: To reinterpret the input as 3D |
| * -# REINTERPRET_OUTPUT_AS_3D: To reinterpret the output as 3D |
| * -# HEIGHT_GEMM3D: The height of the output in case it has to be reinterpreted as a 3D tensor. |
| * -# DEPTH_GEMM3D: The depth of the output in case it has to be reinterpreted as a 3D tensor |
| * (HEIGHT_GEMM3D * DEPTH_GEMM3D) = columns LHS matrix |
| * |
| * @param[in] lhs_ptr Pointer to the LHS matrix. Supported data type: F16/F32 |
| * @param[in] lhs_stride_x Stride of the LHS matrix in X dimension (in bytes) |
| * @param[in] lhs_step_x lhs_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] lhs_stride_y Stride of the LHS matrix in Y dimension (in bytes) |
| * @param[in] lhs_step_y lhs_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] lhs_offset_first_element_in_bytes The offset of the first element in the LHS matrix |
| * @param[in] rhs_ptr Pointer to the RHS matrix. Supported data type: same as @p lhs_ptr |
| * @param[in] rhs_stride_x Stride of the RHS matrix in X dimension (in bytes) |
| * @param[in] rhs_step_x rhs_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] rhs_stride_y Stride of the RHS matrix in Y dimension (in bytes) |
| * @param[in] rhs_step_y rhs_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] rhs_offset_first_element_in_bytes The offset of the first element in the RHS matrix |
| * @param[in] bias_ptr (Optional) Pointer to the bias matrix. Supported data type: same as @p lhs_ptr |
| * @param[in] bias_stride_x (Optional) Stride of the bias matrix in X dimension (in bytes) |
| * @param[in] bias_step_x (Optional) bias_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] bias_stride_y (Optional) Stride of the bias matrix in Y dimension (in bytes) |
| * @param[in] bias_step_y (Optional) bias_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] bias_offset_first_element_in_bytes (Optional) The offset of the first element in the bias matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data type: same as @p lhs_ptr |
| * @param[in] dst_stride_x Stride of the destination matrix in X dimension (in bytes) |
| * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination matrix in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination matrix |
| * @param[in] lhs_stride_z Stride of the LHS matrix in Z dimension (in bytes) |
| * @param[in] rhs_stride_z Stride of the RHS matrix in Z dimension (in bytes) |
| * @param[in] bias_stride_z (Optional) Stride of the bias matrix in Z dimension (in bytes) |
| * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| * @param[in] 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. |
| * @param[in] lhs_cross_plane_pad (Optional) Bottom paddings for LHS matrix in unit of elements (only if defined REINTERPRET_INPUT_AS_3D) |
| * @param[in] dst_cross_plane_pad (Optional) Bottom paddings for the output matrix in unit of elements (only if defined REINTERPRET_OUTPUT_AS_3D) |
| */ |
| __kernel void gemm_mm_native(IMAGE_DECLARATION(lhs), |
| IMAGE_DECLARATION(rhs), |
| #if defined(BETA) |
| IMAGE_DECLARATION(bias), |
| #endif // defined(BETA) |
| IMAGE_DECLARATION(dst), |
| uint lhs_stride_z, |
| uint rhs_stride_z, |
| #if defined(BETA) |
| uint bias_stride_z, |
| #endif //defined(BETA) |
| uint dst_stride_z, |
| const int M, |
| const int N, |
| const int K |
| #if defined(REINTERPRET_INPUT_AS_3D) |
| , |
| uint lhs_cross_plane_pad |
| #endif // REINTERPRET_INPUT_AS_3D |
| #if defined(REINTERPRET_OUTPUT_AS_3D) |
| , |
| uint dst_cross_plane_pad |
| #endif // REINTERPRET_OUTPUT_AS_3D |
| ) |
| { |
| // Block size |
| #define RHS_BLOCK_SIZE ((K0) * (N0)) |
| |
| // RHS offset and step X |
| #define RHS_OFFSET_X (RHS_BLOCK_SIZE) |
| |
| uint x = get_global_id(0); |
| uint y = get_global_id(1); |
| uint z = get_global_id(2); |
| |
| #if defined(DUMMY_WORK_ITEMS) |
| if((x * N0 >= N) || (y * M0 >= M)) |
| { |
| return; |
| } |
| #endif // defined(DUMMY_WORK_ITEMS) |
| |
| // Compute LHS matrix address |
| uint lhs_offset = lhs_offset_first_element_in_bytes + COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0) * (uint)lhs_stride_y; |
| |
| // Compute RHS matrix address |
| uint rhs_offset = rhs_offset_first_element_in_bytes + x * N0 * sizeof(DATA_TYPE); |
| |
| #if defined(MATRIX_B_DEPTH) |
| // Do not slide matrix B if the matrix B has 3 dimensions and matrix A more than 3 |
| rhs_offset += (z % MATRIX_B_DEPTH) * rhs_stride_z; |
| #else // defined(MATRIX_B_DEPTH) |
| rhs_offset += z * rhs_stride_z; |
| #endif // defined(MATRIX_B_DEPTH) |
| |
| REPEAT_VAR_INIT_TO_CONST(M0, uint, zlhs, 0); |
| REPEAT_VAR_INIT_TO_CONST(16, uint, zero, 0); |
| |
| #if defined(REINTERPRET_INPUT_AS_3D) |
| // The plane (zlhs) is calculated dividing M (y * M0) by HEIGHT_GEMM3D |
| CALCULATE_Z_OFFSET(M0, uint, zlhs, COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0), HEIGHT_GEMM3D, DEPTH_GEMM3D, lhs_cross_plane_pad, lhs_stride_y); |
| |
| // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we |
| // multiply lhs_stride_z by DEPTH_GEMM3D |
| lhs_offset += z * lhs_stride_z * DEPTH_GEMM3D; |
| |
| #else // defined(REINTERPRET_INPUT_AS_3D) |
| |
| // Add offset for batched GEMM |
| lhs_offset += z * lhs_stride_z; |
| |
| #endif // defined(REINTERPRET_INPUT_AS_3D) |
| |
| // Initialize the accumulators |
| REPEAT_VAR_INIT_TO_CONST(M0, VEC_DATA_TYPE(DATA_TYPE, N0), c, 0); //VEC_DATA_TYPE(DATA_TYPE, N0) c0=0,c1=0,c2=0,... c(M0-1)=0; |
| |
| int i = 0; |
| #if K0 > 1 |
| for(; i <= (K - K0); i += K0) |
| { |
| // Supported cases (M0, K0): |
| // 1,2 - 1,3 - 1,4 - 1,8 - 1,16 |
| // 2,2 - 2,3 - 2,4 - 2,8 - 2,16 |
| // 3,2 - 3,3 - 3,4 - 3,8 - 3,16 |
| // 4,2 - 4,3 - 4,4 - 4,8 - 4,16 |
| // 5,2 - 5,3 - 5,4 - 5,8 - 5,16 |
| // 6,2 - 6,3 - 6,4 - 6,8 - 6,16 |
| // 7,2 - 7,3 - 7,4 - 7,8 - 7,16 |
| // 8,2 - 8,3 - 8,4 - 8,8 - 8,16 |
| // Load values from LHS matrix |
| LOAD_BLOCK(M0, K0, DATA_TYPE, a, lhs_ptr, lhs_offset, lhs_stride_y, zlhs); |
| |
| // Load values from RHS matrix |
| LOAD_BLOCK(K0, N0, DATA_TYPE, b, rhs_ptr, rhs_offset, rhs_stride_y, zero); |
| |
| RHS_VFMA_M0xN0(0, a, b0, c); |
| RHS_VFMA_M0xN0(1, a, b1, c); |
| #if K0 > 2 |
| RHS_VFMA_M0xN0(2, a, b2, c); |
| #endif // K0 > 2 |
| #if K0 > 3 |
| RHS_VFMA_M0xN0(3, a, b3, c); |
| #endif // K0 > 3 |
| #if K0 > 4 |
| RHS_VFMA_M0xN0(4, a, b4, c); |
| RHS_VFMA_M0xN0(5, a, b5, c); |
| RHS_VFMA_M0xN0(6, a, b6, c); |
| RHS_VFMA_M0xN0(7, a, b7, c); |
| #endif // K0 > 4 |
| #if K0 > 8 |
| RHS_VFMA_M0xN0(8, a, b8, c); |
| RHS_VFMA_M0xN0(9, a, b9, c); |
| RHS_VFMA_M0xN0(A, a, bA, c); |
| RHS_VFMA_M0xN0(B, a, bB, c); |
| RHS_VFMA_M0xN0(C, a, bC, c); |
| RHS_VFMA_M0xN0(D, a, bD, c); |
| RHS_VFMA_M0xN0(E, a, bE, c); |
| RHS_VFMA_M0xN0(F, a, bF, c); |
| #endif // K0 > 8 |
| |
| lhs_offset += K0 * sizeof(DATA_TYPE); |
| rhs_offset += K0 * rhs_stride_y; |
| } |
| #endif // K0 > 1 |
| // Left-over accumulations |
| for(; i < K; ++i) |
| { |
| // Load values from LHS matrix |
| VEC_DATA_TYPE(DATA_TYPE, 2) |
| a0 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 0 * lhs_stride_y + zlhs0)); |
| #if M0 > 1 |
| VEC_DATA_TYPE(DATA_TYPE, 2) |
| a1 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 1 * lhs_stride_y + zlhs1)); |
| #endif // M0 > 1 |
| #if M0 > 2 |
| VEC_DATA_TYPE(DATA_TYPE, 2) |
| a2 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 2 * lhs_stride_y + zlhs2)); |
| #endif // M0 > 2 |
| #if M0 > 3 |
| VEC_DATA_TYPE(DATA_TYPE, 2) |
| a3 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 3 * lhs_stride_y + zlhs3)); |
| #endif // M0 > 3 |
| #if M0 > 4 |
| VEC_DATA_TYPE(DATA_TYPE, 2) |
| a4 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 4 * lhs_stride_y + zlhs4)); |
| #endif // M0 > 4 |
| #if M0 > 5 |
| VEC_DATA_TYPE(DATA_TYPE, 2) |
| a5 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 5 * lhs_stride_y + zlhs5)); |
| #endif // M0 > 5 |
| #if M0 > 6 |
| VEC_DATA_TYPE(DATA_TYPE, 2) |
| a6 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 6 * lhs_stride_y + zlhs6)); |
| #endif // M0 > 6 |
| #if M0 > 7 |
| VEC_DATA_TYPE(DATA_TYPE, 2) |
| a7 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 7 * lhs_stride_y + zlhs7)); |
| #endif // M0 > 7 |
| |
| VEC_DATA_TYPE(DATA_TYPE, N0) |
| b = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 0 * rhs_stride_y)); |
| RHS_VFMA_M0xN0(0, a, b, c); |
| |
| lhs_offset += sizeof(DATA_TYPE); |
| rhs_offset += rhs_stride_y; |
| } |
| |
| __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + (x * (uint)N0 * sizeof(DATA_TYPE)) + (COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0) * dst_stride_y); |
| |
| REPEAT_VAR_INIT_TO_CONST(M0, uint, zout, 0); |
| |
| #if defined(REINTERPRET_OUTPUT_AS_3D) |
| // The plane (zout) is calculated dividing M (y * M0) by HEIGHT_GEMM3D |
| CALCULATE_Z_OFFSET(M0, uint, zout, COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0), HEIGHT_GEMM3D, DEPTH_GEMM3D, dst_cross_plane_pad, dst_stride_y); |
| |
| // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we |
| // multiply dst_stride_z by DEPTH_GEMM3D |
| dst_addr += z * dst_stride_z * DEPTH_GEMM3D; |
| |
| #else // defined(REINTERPRET_OUTPUT_AS_3D) |
| |
| // Add offset for batched GEMM |
| dst_addr += z * dst_stride_z; |
| |
| #endif // defined(REINTERPRET_OUTPUT_AS_3D) |
| |
| // Multiply by the weight of matrix-matrix product and store the result |
| #if defined(ALPHA) |
| SCALE_BLOCK(M0, DATA_TYPE, c, ALPHA); |
| #endif // defined(ALPHA) |
| |
| // Add beta*bias |
| #if defined(BETA) |
| #if defined(BROADCAST_BIAS) |
| __global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (get_global_id(0) * (uint)N0 * sizeof(DATA_TYPE)); |
| |
| LOAD_BLOCK(1, N0, DATA_TYPE, bias, bias_addr, 0, bias_stride_y, zero); |
| |
| #ifndef UNIT_BETA |
| SCALE_BLOCK(1, DATA_TYPE, bias, BETA); |
| #endif // UNIT_BIAS |
| |
| // c = c + bias[broadcasted] |
| ADD_BLOCK_BROADCAST(M0, c, bias0); |
| |
| #else // defined(BROADCAST_BIAS) |
| __global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (x * (uint)N0 * sizeof(DATA_TYPE)) + (COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0) * bias_stride_y) + z * bias_stride_z; |
| |
| LOAD_BLOCK(M0, N0, DATA_TYPE, bias, bias_addr, 0, bias_stride_y, zero); |
| |
| #ifndef UNIT_BETA |
| SCALE_BLOCK(M0, DATA_TYPE, bias, BETA); |
| #endif // UNIT_BIAS |
| |
| // c = c + bias |
| ADD_BLOCK(M0, c, bias); |
| |
| #endif // defined(BROADCAST_BIAS) |
| #endif // defined(BETA) |
| |
| #if defined(ACTIVATION_TYPE) |
| ACTIVATION_BLOCK(M0, ACTIVATION_TYPE, DATA_TYPE, N0, c, A_VAL, B_VAL); |
| #endif // defined(ACTIVATION_TYPE) |
| |
| const bool cond_y = y == 0; |
| const bool cond_x = ((x + 1) * N0 >= N); |
| |
| // Store output block |
| STORE_BLOCK_BOUNDARY_AWARE(M0, N0, DATA_TYPE, c, dst_addr, dst_stride_y, zout, PARTIAL_STORE_M0, PARTIAL_STORE_N0, cond_y, cond_x); |
| } |
| #endif // defined(GEMM_MM_NATIVE) |
| #endif // defined(M0) && defined(N0) && defined(K0) && defined(DATA_TYPE) |
| |
| #if defined(BETA) |
| /** This OpenCL kernel performs the in-place matrix addition between 2 matrices taking into account that the second matrix might be weighted by a scalar value beta: |
| * |
| * @note The beta's value need to be passed at compile time using -DBETA |
| * |
| * @param[in] src_ptr Pointer to the source matrix. Supported data types: F32 |
| * @param[in] src_stride_x Stride of the source matrix in X dimension (in bytes) |
| * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src_stride_y Stride of the source matrix in Y dimension (in bytes) |
| * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| * @param[in] src_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data types: same as @p src_ptr |
| * @param[in] dst_stride_x Stride of the destination matrix in X dimension (in bytes) |
| * @param[in] dst_step_x dst_gx_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination matrix in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_gx_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination matrix |
| */ |
| __kernel void gemm_ma_f32(TENSOR3D_DECLARATION(src), |
| TENSOR3D_DECLARATION(dst)) |
| { |
| // Compute source and destination addresses |
| Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); |
| Tensor3D dst = CONVERT_TO_TENSOR3D_STRUCT(dst); |
| |
| // Load values from A x B |
| float4 alpha_ab = vload4(0, (__global float *)dst.ptr); |
| |
| // Load values from Matrix C |
| float4 c = vload4(0, (__global float *)src.ptr); |
| |
| // Computes alpha * axb + beta * c |
| float4 out = alpha_ab + (float4)BETA * c; |
| |
| // Store final result in axb matrix |
| vstore4(out, 0, (__global float *)dst.ptr); |
| } |
| |
| #if defined(ARM_COMPUTE_OPENCL_FP16_ENABLED) |
| /** This OpenCL kernel performs the in-place matrix addition between 2 matrices taking into account that the second matrix might be weighted by a scalar value beta: |
| * |
| * @note The beta's value need to be passed at compile time using -DBETA |
| * |
| * @param[in] src_ptr Pointer to the source matrix. Supported data types: F16 |
| * @param[in] src_stride_x Stride of the source matrix in X dimension (in bytes) |
| * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src_stride_y Stride of the source matrix in Y dimension (in bytes) |
| * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| * @param[in] src_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data types: same as @p src_ptr |
| * @param[in] dst_stride_x Stride of the destination matrix in X dimension (in bytes) |
| * @param[in] dst_step_x dst_gx_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination matrix in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_gx_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination matrix |
| */ |
| __kernel void gemm_ma_f16(TENSOR3D_DECLARATION(src), |
| TENSOR3D_DECLARATION(dst)) |
| { |
| // Compute source and destination addresses |
| Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); |
| Tensor3D dst = CONVERT_TO_TENSOR3D_STRUCT(dst); |
| |
| // Load values from A x B |
| half8 alpha_ab = vload8(0, (__global half *)dst.ptr); |
| |
| // Load values from Matrix C |
| half8 c = vload8(0, (__global half *)src.ptr); |
| |
| // Computes alpha * axb + beta * c |
| half8 out = alpha_ab + (half8)BETA * c; |
| |
| // Store final result in axb matrix |
| vstore8(out, 0, (__global half *)dst.ptr); |
| } |
| #endif // defined(ARM_COMPUTE_OPENCL_FP16_ENABLED) |
| #endif // defined(BETA) |