| /* |
| * Copyright (c) 2017-2018 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 "helpers.h" |
| #include "helpers_asymm.h" |
| |
| #if defined(COLS_B) && defined(MULT_INTERLEAVE4X4_HEIGHT) && defined(TRANSPOSE1XW_WIDTH_STEP) |
| /** This OpenCL kernel computes the matrix multiplication between matrix A (src0) and matrix B (src1) |
| * Matrix A and matrix B must be reshaped respectively with @ref CLGEMMInterleave4x4Kernel and @ref CLGEMMTranspose1xWKernel before running the matrix multiplication |
| * |
| * @note The number of matrix B columns needs to be passed at compile time using -DCOLS_B: e.g. -DCOLS_B=1024 |
| * @note The transposition width step (mult_transpose1xW_width * 4) must be passed at compile time using -DTRANSPOSE1XW_WIDTH_STEP (i.e. -DTRANSPOSE1XW_WIDTH_STEP=2) |
| * @note The multiplication factor for the height of the 4x4 interleaved block must be passed at compile time using -DMULT_INTERLEAVE4X4_HEIGHT (i.e. -DMULT_INTERLEAVE4X4_HEIGHT=2) |
| * |
| * @param[in] src0_ptr Pointer to the source matrix. Supported data type: QASYMM8 |
| * @param[in] src0_stride_x Stride of the source matrix in X dimension (in bytes) |
| * @param[in] src0_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src0_stride_y Stride of the source matrix in Y dimension (in bytes) |
| * @param[in] src0_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src0_offset_first_element_in_bytes The offset of the first element in the source matrix |
| * @param[in] src1_ptr Pointer to the source matrix. Supported data type: same as @p src0_ptr |
| * @param[in] src1_stride_x Stride of the source matrix in X dimension (in bytes) |
| * @param[in] src1_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src1_stride_y Stride of the source matrix in Y dimension (in bytes) |
| * @param[in] src1_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src1_offset_first_element_in_bytes The offset of the first element in the source matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data type: S32 |
| * @param[in] dst_stride_x Stride of the destination matrix in X dimension (in bytes) |
| * @param[in] dst_step_x dst_gx_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination matrix in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_gx_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination matrix |
| */ |
| __kernel void gemmlowp_mm_interleaved_transposed_midgard(IMAGE_DECLARATION(src0), |
| IMAGE_DECLARATION(src1), |
| IMAGE_DECLARATION(dst)) |
| { |
| int x = get_global_id(0) / TRANSPOSE1XW_WIDTH_STEP; |
| int y = get_global_id(1) / MULT_INTERLEAVE4X4_HEIGHT; |
| |
| // Offset |
| const int offset_row_a = (get_global_id(1) % MULT_INTERLEAVE4X4_HEIGHT) * 4; |
| const int offset_row_b = (get_global_id(0) % TRANSPOSE1XW_WIDTH_STEP) * 4; |
| |
| // src_addr_a = address of matrix A |
| // src_addr_b = address of matrix B |
| __global uchar *src_addr_a = (__global uchar *)(src0_ptr + y * src0_stride_y + src0_offset_first_element_in_bytes); |
| __global uchar *src_addr_b = (__global uchar *)(src1_ptr + x * src1_stride_y + src1_offset_first_element_in_bytes); |
| |
| // Compute end row address for matrix B |
| __global uchar *src_end_addr_b = src_addr_b + COLS_B; |
| |
| src_addr_a += offset_row_a; |
| src_addr_b += offset_row_b; |
| |
| // Reset accumulators |
| int4 c00 = 0; |
| int4 c10 = 0; |
| int4 c20 = 0; |
| int4 c30 = 0; |
| |
| for(; src_addr_b <= (src_end_addr_b - (int)(8 * TRANSPOSE1XW_WIDTH_STEP)); src_addr_a += 8 * MULT_INTERLEAVE4X4_HEIGHT, src_addr_b += 8 * TRANSPOSE1XW_WIDTH_STEP) |
| { |
| // Load values from matrix A (interleaved) and matrix B (transposed) |
| int4 a0 = convert_int4(vload4(0, src_addr_a)); |
| int4 b0 = convert_int4(vload4(0, src_addr_b)); |
| |
| c00 += (int4)a0.s0 * b0; |
| c10 += (int4)a0.s1 * b0; |
| c20 += (int4)a0.s2 * b0; |
| c30 += (int4)a0.s3 * b0; |
| |
| a0 = convert_int4(vload4(0, src_addr_a + 4 * MULT_INTERLEAVE4X4_HEIGHT)); |
| b0 = convert_int4(vload4(0, src_addr_b + 4 * TRANSPOSE1XW_WIDTH_STEP)); |
| |
| c00 += (int4)a0.s0 * b0; |
| c10 += (int4)a0.s1 * b0; |
| c20 += (int4)a0.s2 * b0; |
| c30 += (int4)a0.s3 * b0; |
| } |
| |
| for(; src_addr_b < src_end_addr_b; src_addr_a += (4 * MULT_INTERLEAVE4X4_HEIGHT), src_addr_b += (4 * TRANSPOSE1XW_WIDTH_STEP)) |
| { |
| // Load values from matrix A (interleaved) and matrix B (transposed) |
| int4 a0 = convert_int4(vload4(0, src_addr_a)); |
| int4 b0 = convert_int4(vload4(0, src_addr_b)); |
| |
| c00 += (int4)a0.s0 * b0; |
| c10 += (int4)a0.s1 * b0; |
| c20 += (int4)a0.s2 * b0; |
| c30 += (int4)a0.s3 * b0; |
| } |
| |
| // Compute destination address |
| Image dst = CONVERT_TO_IMAGE_STRUCT(dst); |
| |
| // Store 4x4 block |
| vstore4(c00, 0, (__global int *)(offset(&dst, 0, 0))); |
| vstore4(c10, 0, (__global int *)(offset(&dst, 0, 1))); |
| vstore4(c20, 0, (__global int *)(offset(&dst, 0, 2))); |
| vstore4(c30, 0, (__global int *)(offset(&dst, 0, 3))); |
| } |
| |
| /** This OpenCL kernel is optimized for Bifrost and computes the matrix multiplication between matrix A (src0) and matrix B (src1) |
| * Matrix A and matrix B must be reshaped respectively with @ref CLGEMMInterleave4x4Kernel and @ref CLGEMMTranspose1xWKernel before running the matrix multiplication |
| * |
| * @attention The number of matrix B columns needs to be passed at compile time using -DCOLS_B |
| * @note The transposition width step (mult_transpose1xW_width * 4) must be passed at compile time using -DTRANSPOSE1XW_WIDTH_STEP (i.e. -DTRANSPOSE1XW_WIDTH_STEP=2) |
| * @note The multiplication factor for the height of the 4x4 interleaved block must be passed at compile time using -DMULT_INTERLEAVE4X4_HEIGHT (i.e. -DMULT_INTERLEAVE4X4_HEIGHT=2) |
| * |
| * @param[in] src0_ptr Pointer to the source matrix. Supported data type: QASYMM8 |
| * @param[in] src0_stride_x Stride of the source matrix in X dimension (in bytes) |
| * @param[in] src0_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src0_stride_y Stride of the source matrix in Y dimension (in bytes) |
| * @param[in] src0_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src0_offset_first_element_in_bytes The offset of the first element in the source matrix |
| * @param[in] src1_ptr Pointer to the source matrix. Supported data type: same as @p src0_ptr |
| * @param[in] src1_stride_x Stride of the source matrix in X dimension (in bytes) |
| * @param[in] src1_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src1_stride_y Stride of the source matrix in Y dimension (in bytes) |
| * @param[in] src1_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src1_offset_first_element_in_bytes The offset of the first element in the source matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data type: S32 |
| * @param[in] dst_stride_x Stride of the destination matrix in X dimension (in bytes) |
| * @param[in] dst_step_x dst_gx_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination matrix in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_gx_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination matrix |
| */ |
| __kernel void gemmlowp_mm_interleaved_transposed_bifrost(IMAGE_DECLARATION(src0), |
| IMAGE_DECLARATION(src1), |
| IMAGE_DECLARATION(dst)) |
| { |
| int x = get_global_id(0) / TRANSPOSE1XW_WIDTH_STEP; |
| int y = get_global_id(1) / MULT_INTERLEAVE4X4_HEIGHT; |
| |
| // Offset |
| const int offset_row_a = (get_global_id(1) % MULT_INTERLEAVE4X4_HEIGHT) * 4; |
| const int offset_row_b = (get_global_id(0) % TRANSPOSE1XW_WIDTH_STEP) * 4; |
| |
| // src_addr_a = address of matrix A |
| // src_addr_b = address of matrix B |
| __global uchar *src_addr_a = (__global uchar *)(src0_ptr + y * src0_stride_y + src0_offset_first_element_in_bytes); |
| __global uchar *src_addr_b = (__global uchar *)(src1_ptr + x * src1_stride_y + src1_offset_first_element_in_bytes); |
| |
| // Compute end row address for matrix B |
| __global uchar *src_end_addr_b = src_addr_b + COLS_B; |
| |
| src_addr_a += offset_row_a; |
| src_addr_b += offset_row_b; |
| |
| // Reset accumulators |
| uint c00 = 0; |
| uint c01 = 0; |
| uint c02 = 0; |
| uint c03 = 0; |
| uint c10 = 0; |
| uint c11 = 0; |
| uint c12 = 0; |
| uint c13 = 0; |
| uint c20 = 0; |
| uint c21 = 0; |
| uint c22 = 0; |
| uint c23 = 0; |
| uint c30 = 0; |
| uint c31 = 0; |
| uint c32 = 0; |
| uint c33 = 0; |
| |
| #if MULT_INTERLEAVE4X4_HEIGHT == 1 |
| for(; src_addr_b <= (src_end_addr_b - (int)(32 * TRANSPOSE1XW_WIDTH_STEP)); src_addr_a += (32 * MULT_INTERLEAVE4X4_HEIGHT), src_addr_b += (32 * TRANSPOSE1XW_WIDTH_STEP)) |
| { |
| // Load values from matrix A (interleaved) and matrix B (transposed) |
| uchar16 a0 = vload16(0, src_addr_a); |
| uchar4 b0 = vload4(0, src_addr_b); |
| |
| c00 += (ushort)a0.s0 * b0.s0; |
| c01 += (ushort)a0.s0 * b0.s1; |
| c02 += (ushort)a0.s0 * b0.s2; |
| c03 += (ushort)a0.s0 * b0.s3; |
| |
| c10 += (ushort)a0.s1 * b0.s0; |
| c11 += (ushort)a0.s1 * b0.s1; |
| c12 += (ushort)a0.s1 * b0.s2; |
| c13 += (ushort)a0.s1 * b0.s3; |
| |
| c20 += (ushort)a0.s2 * b0.s0; |
| c21 += (ushort)a0.s2 * b0.s1; |
| c22 += (ushort)a0.s2 * b0.s2; |
| c23 += (ushort)a0.s2 * b0.s3; |
| |
| c30 += (ushort)a0.s3 * b0.s0; |
| c31 += (ushort)a0.s3 * b0.s1; |
| c32 += (ushort)a0.s3 * b0.s2; |
| c33 += (ushort)a0.s3 * b0.s3; |
| |
| // Load values from matrix B (transposed) |
| b0 = vload4(0, src_addr_b + 4 * TRANSPOSE1XW_WIDTH_STEP); |
| |
| c00 += (ushort)a0.s4 * b0.s0; |
| c01 += (ushort)a0.s4 * b0.s1; |
| c02 += (ushort)a0.s4 * b0.s2; |
| c03 += (ushort)a0.s4 * b0.s3; |
| |
| c10 += (ushort)a0.s5 * b0.s0; |
| c11 += (ushort)a0.s5 * b0.s1; |
| c12 += (ushort)a0.s5 * b0.s2; |
| c13 += (ushort)a0.s5 * b0.s3; |
| |
| c20 += (ushort)a0.s6 * b0.s0; |
| c21 += (ushort)a0.s6 * b0.s1; |
| c22 += (ushort)a0.s6 * b0.s2; |
| c23 += (ushort)a0.s6 * b0.s3; |
| |
| c30 += (ushort)a0.s7 * b0.s0; |
| c31 += (ushort)a0.s7 * b0.s1; |
| c32 += (ushort)a0.s7 * b0.s2; |
| c33 += (ushort)a0.s7 * b0.s3; |
| |
| // Load values from matrix B (transposed) |
| b0 = vload4(0, src_addr_b + 8 * TRANSPOSE1XW_WIDTH_STEP); |
| |
| c00 += (ushort)a0.s8 * b0.s0; |
| c01 += (ushort)a0.s8 * b0.s1; |
| c02 += (ushort)a0.s8 * b0.s2; |
| c03 += (ushort)a0.s8 * b0.s3; |
| |
| c10 += (ushort)a0.s9 * b0.s0; |
| c11 += (ushort)a0.s9 * b0.s1; |
| c12 += (ushort)a0.s9 * b0.s2; |
| c13 += (ushort)a0.s9 * b0.s3; |
| |
| c20 += (ushort)a0.sA * b0.s0; |
| c21 += (ushort)a0.sA * b0.s1; |
| c22 += (ushort)a0.sA * b0.s2; |
| c23 += (ushort)a0.sA * b0.s3; |
| |
| c30 += (ushort)a0.sB * b0.s0; |
| c31 += (ushort)a0.sB * b0.s1; |
| c32 += (ushort)a0.sB * b0.s2; |
| c33 += (ushort)a0.sB * b0.s3; |
| |
| // Load values from matrix B (transposed) |
| b0 = vload4(0, src_addr_b + 12 * TRANSPOSE1XW_WIDTH_STEP); |
| |
| c00 += (ushort)a0.sC * b0.s0; |
| c01 += (ushort)a0.sC * b0.s1; |
| c02 += (ushort)a0.sC * b0.s2; |
| c03 += (ushort)a0.sC * b0.s3; |
| |
| c10 += (ushort)a0.sD * b0.s0; |
| c11 += (ushort)a0.sD * b0.s1; |
| c12 += (ushort)a0.sD * b0.s2; |
| c13 += (ushort)a0.sD * b0.s3; |
| |
| c20 += (ushort)a0.sE * b0.s0; |
| c21 += (ushort)a0.sE * b0.s1; |
| c22 += (ushort)a0.sE * b0.s2; |
| c23 += (ushort)a0.sE * b0.s3; |
| |
| c30 += (ushort)a0.sF * b0.s0; |
| c31 += (ushort)a0.sF * b0.s1; |
| c32 += (ushort)a0.sF * b0.s2; |
| c33 += (ushort)a0.sF * b0.s3; |
| |
| // Load values from matrix A (interleaved) and matrix B (transposed) |
| a0 = vload16(0, src_addr_a + 16); |
| b0 = vload4(0, src_addr_b + 16 * TRANSPOSE1XW_WIDTH_STEP); |
| |
| c00 += (ushort)a0.s0 * b0.s0; |
| c01 += (ushort)a0.s0 * b0.s1; |
| c02 += (ushort)a0.s0 * b0.s2; |
| c03 += (ushort)a0.s0 * b0.s3; |
| |
| c10 += (ushort)a0.s1 * b0.s0; |
| c11 += (ushort)a0.s1 * b0.s1; |
| c12 += (ushort)a0.s1 * b0.s2; |
| c13 += (ushort)a0.s1 * b0.s3; |
| |
| c20 += (ushort)a0.s2 * b0.s0; |
| c21 += (ushort)a0.s2 * b0.s1; |
| c22 += (ushort)a0.s2 * b0.s2; |
| c23 += (ushort)a0.s2 * b0.s3; |
| |
| c30 += (ushort)a0.s3 * b0.s0; |
| c31 += (ushort)a0.s3 * b0.s1; |
| c32 += (ushort)a0.s3 * b0.s2; |
| c33 += (ushort)a0.s3 * b0.s3; |
| |
| // Load values from matrix B (transposed) |
| b0 = vload4(0, src_addr_b + 20 * TRANSPOSE1XW_WIDTH_STEP); |
| |
| c00 += (ushort)a0.s4 * b0.s0; |
| c01 += (ushort)a0.s4 * b0.s1; |
| c02 += (ushort)a0.s4 * b0.s2; |
| c03 += (ushort)a0.s4 * b0.s3; |
| |
| c10 += (ushort)a0.s5 * b0.s0; |
| c11 += (ushort)a0.s5 * b0.s1; |
| c12 += (ushort)a0.s5 * b0.s2; |
| c13 += (ushort)a0.s5 * b0.s3; |
| |
| c20 += (ushort)a0.s6 * b0.s0; |
| c21 += (ushort)a0.s6 * b0.s1; |
| c22 += (ushort)a0.s6 * b0.s2; |
| c23 += (ushort)a0.s6 * b0.s3; |
| |
| c30 += (ushort)a0.s7 * b0.s0; |
| c31 += (ushort)a0.s7 * b0.s1; |
| c32 += (ushort)a0.s7 * b0.s2; |
| c33 += (ushort)a0.s7 * b0.s3; |
| |
| // Load values from matrix B (transposed) |
| b0 = vload4(0, src_addr_b + 24 * TRANSPOSE1XW_WIDTH_STEP); |
| |
| c00 += (ushort)a0.s8 * b0.s0; |
| c01 += (ushort)a0.s8 * b0.s1; |
| c02 += (ushort)a0.s8 * b0.s2; |
| c03 += (ushort)a0.s8 * b0.s3; |
| |
| c10 += (ushort)a0.s9 * b0.s0; |
| c11 += (ushort)a0.s9 * b0.s1; |
| c12 += (ushort)a0.s9 * b0.s2; |
| c13 += (ushort)a0.s9 * b0.s3; |
| |
| c20 += (ushort)a0.sA * b0.s0; |
| c21 += (ushort)a0.sA * b0.s1; |
| c22 += (ushort)a0.sA * b0.s2; |
| c23 += (ushort)a0.sA * b0.s3; |
| |
| c30 += (ushort)a0.sB * b0.s0; |
| c31 += (ushort)a0.sB * b0.s1; |
| c32 += (ushort)a0.sB * b0.s2; |
| c33 += (ushort)a0.sB * b0.s3; |
| |
| // Load values from matrix B (transposed) |
| b0 = vload4(0, src_addr_b + 28 * TRANSPOSE1XW_WIDTH_STEP); |
| |
| c00 += (ushort)a0.sC * b0.s0; |
| c01 += (ushort)a0.sC * b0.s1; |
| c02 += (ushort)a0.sC * b0.s2; |
| c03 += (ushort)a0.sC * b0.s3; |
| |
| c10 += (ushort)a0.sD * b0.s0; |
| c11 += (ushort)a0.sD * b0.s1; |
| c12 += (ushort)a0.sD * b0.s2; |
| c13 += (ushort)a0.sD * b0.s3; |
| |
| c20 += (ushort)a0.sE * b0.s0; |
| c21 += (ushort)a0.sE * b0.s1; |
| c22 += (ushort)a0.sE * b0.s2; |
| c23 += (ushort)a0.sE * b0.s3; |
| |
| c30 += (ushort)a0.sF * b0.s0; |
| c31 += (ushort)a0.sF * b0.s1; |
| c32 += (ushort)a0.sF * b0.s2; |
| c33 += (ushort)a0.sF * b0.s3; |
| } |
| #endif // MULT_INTERLEAVE4X4_HEIGHT == 1 |
| |
| for(; src_addr_b < src_end_addr_b; src_addr_a += (4 * MULT_INTERLEAVE4X4_HEIGHT), src_addr_b += (4 * TRANSPOSE1XW_WIDTH_STEP)) |
| { |
| // Load values from matrix A (interleaved) and matrix B (transposed) |
| uchar4 a0 = vload4(0, src_addr_a); |
| uchar4 b0 = vload4(0, src_addr_b); |
| |
| c00 += (ushort)a0.s0 * b0.s0; |
| c01 += (ushort)a0.s0 * b0.s1; |
| c02 += (ushort)a0.s0 * b0.s2; |
| c03 += (ushort)a0.s0 * b0.s3; |
| |
| c10 += (ushort)a0.s1 * b0.s0; |
| c11 += (ushort)a0.s1 * b0.s1; |
| c12 += (ushort)a0.s1 * b0.s2; |
| c13 += (ushort)a0.s1 * b0.s3; |
| |
| c20 += (ushort)a0.s2 * b0.s0; |
| c21 += (ushort)a0.s2 * b0.s1; |
| c22 += (ushort)a0.s2 * b0.s2; |
| c23 += (ushort)a0.s2 * b0.s3; |
| |
| c30 += (ushort)a0.s3 * b0.s0; |
| c31 += (ushort)a0.s3 * b0.s1; |
| c32 += (ushort)a0.s3 * b0.s2; |
| c33 += (ushort)a0.s3 * b0.s3; |
| } |
| |
| // Compute destination address |
| Image dst = CONVERT_TO_IMAGE_STRUCT(dst); |
| |
| // Store 4x4 block |
| vstore4((int4)(c00, c01, c02, c03), 0, (__global int *)(offset(&dst, 0, 0))); |
| vstore4((int4)(c10, c11, c12, c13), 0, (__global int *)(offset(&dst, 0, 1))); |
| vstore4((int4)(c20, c21, c22, c23), 0, (__global int *)(offset(&dst, 0, 2))); |
| vstore4((int4)(c30, c31, c32, c33), 0, (__global int *)(offset(&dst, 0, 3))); |
| } |
| |
| #if ARM_COMPUTE_OPENCL_DOT8_ENABLED |
| /** This OpenCL kernel is optimized for Bifrost and computes the matrix multiplication between matrix A (src0) and matrix B (src1) |
| * Matrix A and matrix B must be reshaped respectively with @ref CLGEMMInterleave4x4Kernel and @ref CLGEMMTranspose1xWKernel before running the matrix multiplication |
| * |
| * @attention The number of matrix B columns needs to be passed at compile time using -DCOLS_B |
| * @note The transposition width step (mult_transpose1xW_width * 4) must be passed at compile time using -DTRANSPOSE1XW_WIDTH_STEP (i.e. -DTRANSPOSE1XW_WIDTH_STEP=2) |
| * @note The multiplication factor for the height of the 4x4 interleaved block must be passed at compile time using -DMULT_INTERLEAVE4X4_HEIGHT (i.e. -DMULT_INTERLEAVE4X4_HEIGHT=2) |
| * |
| * @param[in] src0_ptr Pointer to the source matrix. Supported data type: QASYMM8 |
| * @param[in] src0_stride_x Stride of the source matrix in X dimension (in bytes) |
| * @param[in] src0_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src0_stride_y Stride of the source matrix in Y dimension (in bytes) |
| * @param[in] src0_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src0_offset_first_element_in_bytes The offset of the first element in the source matrix |
| * @param[in] src1_ptr Pointer to the source matrix. Supported data type: same as @p src0_ptr |
| * @param[in] src1_stride_x Stride of the source matrix in X dimension (in bytes) |
| * @param[in] src1_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src1_stride_y Stride of the source matrix in Y dimension (in bytes) |
| * @param[in] src1_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src1_offset_first_element_in_bytes The offset of the first element in the source matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data type: S32 |
| * @param[in] dst_stride_x Stride of the destination matrix in X dimension (in bytes) |
| * @param[in] dst_step_x dst_gx_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination matrix in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_gx_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination matrix |
| */ |
| __kernel void gemmlowp_mm_interleaved_transposed_bifrost_dot8(IMAGE_DECLARATION(src0), |
| IMAGE_DECLARATION(src1), |
| IMAGE_DECLARATION(dst)) |
| { |
| int x = get_global_id(0) / TRANSPOSE1XW_WIDTH_STEP; |
| int y = get_global_id(1) / MULT_INTERLEAVE4X4_HEIGHT; |
| |
| // Offset |
| const int offset_row_a = (get_global_id(1) % MULT_INTERLEAVE4X4_HEIGHT) * 4; |
| const int offset_row_b = (get_global_id(0) % TRANSPOSE1XW_WIDTH_STEP) * 4; |
| |
| // src_addr_a = address of matrix A |
| // src_addr_b = address of matrix B |
| __global uchar *src_addr_a = (__global uchar *)(src0_ptr + y * src0_stride_y + src0_offset_first_element_in_bytes); |
| __global uchar *src_addr_b = (__global uchar *)(src1_ptr + x * src1_stride_y + src1_offset_first_element_in_bytes); |
| |
| // Compute end row address for matrix B |
| __global uchar *src_end_addr_b = src_addr_b + COLS_B; |
| |
| src_addr_a += offset_row_a; |
| src_addr_b += offset_row_b; |
| |
| // Reset accumulators |
| uint c00 = 0; |
| uint c01 = 0; |
| uint c02 = 0; |
| uint c03 = 0; |
| uint c10 = 0; |
| uint c11 = 0; |
| uint c12 = 0; |
| uint c13 = 0; |
| uint c20 = 0; |
| uint c21 = 0; |
| uint c22 = 0; |
| uint c23 = 0; |
| uint c30 = 0; |
| uint c31 = 0; |
| uint c32 = 0; |
| uint c33 = 0; |
| |
| #if MULT_INTERLEAVE4X4_HEIGHT == 1 |
| for(; src_addr_b <= (src_end_addr_b - (int)(32 * TRANSPOSE1XW_WIDTH_STEP)); src_addr_a += (32 * MULT_INTERLEAVE4X4_HEIGHT), src_addr_b += (32 * TRANSPOSE1XW_WIDTH_STEP)) |
| { |
| // Load values from matrix A (interleaved) and matrix B (transposed) |
| uchar16 a0 = vload16(0, src_addr_a); |
| uchar4 b0 = vload4(0, src_addr_b); |
| uchar4 b1 = vload4(0, src_addr_b + 4 * TRANSPOSE1XW_WIDTH_STEP); |
| uchar4 b2 = vload4(0, src_addr_b + 8 * TRANSPOSE1XW_WIDTH_STEP); |
| uchar4 b3 = vload4(0, src_addr_b + 12 * TRANSPOSE1XW_WIDTH_STEP); |
| |
| // Accumulate |
| c00 = arm_dot_acc((uchar4)(a0.s0, a0.s4, a0.s8, a0.sC), (uchar4)(b0.s0, b1.s0, b2.s0, b3.s0), c00); |
| c01 = arm_dot_acc((uchar4)(a0.s0, a0.s4, a0.s8, a0.sC), (uchar4)(b0.s1, b1.s1, b2.s1, b3.s1), c01); |
| c02 = arm_dot_acc((uchar4)(a0.s0, a0.s4, a0.s8, a0.sC), (uchar4)(b0.s2, b1.s2, b2.s2, b3.s2), c02); |
| c03 = arm_dot_acc((uchar4)(a0.s0, a0.s4, a0.s8, a0.sC), (uchar4)(b0.s3, b1.s3, b2.s3, b3.s3), c03); |
| |
| c10 = arm_dot_acc((uchar4)(a0.s1, a0.s5, a0.s9, a0.sD), (uchar4)(b0.s0, b1.s0, b2.s0, b3.s0), c10); |
| c11 = arm_dot_acc((uchar4)(a0.s1, a0.s5, a0.s9, a0.sD), (uchar4)(b0.s1, b1.s1, b2.s1, b3.s1), c11); |
| c12 = arm_dot_acc((uchar4)(a0.s1, a0.s5, a0.s9, a0.sD), (uchar4)(b0.s2, b1.s2, b2.s2, b3.s2), c12); |
| c13 = arm_dot_acc((uchar4)(a0.s1, a0.s5, a0.s9, a0.sD), (uchar4)(b0.s3, b1.s3, b2.s3, b3.s3), c13); |
| |
| c20 = arm_dot_acc((uchar4)(a0.s2, a0.s6, a0.sA, a0.sE), (uchar4)(b0.s0, b1.s0, b2.s0, b3.s0), c20); |
| c21 = arm_dot_acc((uchar4)(a0.s2, a0.s6, a0.sA, a0.sE), (uchar4)(b0.s1, b1.s1, b2.s1, b3.s1), c21); |
| c22 = arm_dot_acc((uchar4)(a0.s2, a0.s6, a0.sA, a0.sE), (uchar4)(b0.s2, b1.s2, b2.s2, b3.s2), c22); |
| c23 = arm_dot_acc((uchar4)(a0.s2, a0.s6, a0.sA, a0.sE), (uchar4)(b0.s3, b1.s3, b2.s3, b3.s3), c23); |
| |
| c30 = arm_dot_acc((uchar4)(a0.s3, a0.s7, a0.sB, a0.sF), (uchar4)(b0.s0, b1.s0, b2.s0, b3.s0), c30); |
| c31 = arm_dot_acc((uchar4)(a0.s3, a0.s7, a0.sB, a0.sF), (uchar4)(b0.s1, b1.s1, b2.s1, b3.s1), c31); |
| c32 = arm_dot_acc((uchar4)(a0.s3, a0.s7, a0.sB, a0.sF), (uchar4)(b0.s2, b1.s2, b2.s2, b3.s2), c32); |
| c33 = arm_dot_acc((uchar4)(a0.s3, a0.s7, a0.sB, a0.sF), (uchar4)(b0.s3, b1.s3, b2.s3, b3.s3), c33); |
| |
| // Load values from matrix A (interleaved) and matrix B (transposed) |
| a0 = vload16(0, src_addr_a + 16); |
| b0 = vload4(0, src_addr_b + 16 * TRANSPOSE1XW_WIDTH_STEP); |
| b1 = vload4(0, src_addr_b + 20 * TRANSPOSE1XW_WIDTH_STEP); |
| b2 = vload4(0, src_addr_b + 24 * TRANSPOSE1XW_WIDTH_STEP); |
| b3 = vload4(0, src_addr_b + 28 * TRANSPOSE1XW_WIDTH_STEP); |
| |
| // Accumulate |
| c00 = arm_dot_acc((uchar4)(a0.s0, a0.s4, a0.s8, a0.sC), (uchar4)(b0.s0, b1.s0, b2.s0, b3.s0), c00); |
| c01 = arm_dot_acc((uchar4)(a0.s0, a0.s4, a0.s8, a0.sC), (uchar4)(b0.s1, b1.s1, b2.s1, b3.s1), c01); |
| c02 = arm_dot_acc((uchar4)(a0.s0, a0.s4, a0.s8, a0.sC), (uchar4)(b0.s2, b1.s2, b2.s2, b3.s2), c02); |
| c03 = arm_dot_acc((uchar4)(a0.s0, a0.s4, a0.s8, a0.sC), (uchar4)(b0.s3, b1.s3, b2.s3, b3.s3), c03); |
| |
| c10 = arm_dot_acc((uchar4)(a0.s1, a0.s5, a0.s9, a0.sD), (uchar4)(b0.s0, b1.s0, b2.s0, b3.s0), c10); |
| c11 = arm_dot_acc((uchar4)(a0.s1, a0.s5, a0.s9, a0.sD), (uchar4)(b0.s1, b1.s1, b2.s1, b3.s1), c11); |
| c12 = arm_dot_acc((uchar4)(a0.s1, a0.s5, a0.s9, a0.sD), (uchar4)(b0.s2, b1.s2, b2.s2, b3.s2), c12); |
| c13 = arm_dot_acc((uchar4)(a0.s1, a0.s5, a0.s9, a0.sD), (uchar4)(b0.s3, b1.s3, b2.s3, b3.s3), c13); |
| |
| c20 = arm_dot_acc((uchar4)(a0.s2, a0.s6, a0.sA, a0.sE), (uchar4)(b0.s0, b1.s0, b2.s0, b3.s0), c20); |
| c21 = arm_dot_acc((uchar4)(a0.s2, a0.s6, a0.sA, a0.sE), (uchar4)(b0.s1, b1.s1, b2.s1, b3.s1), c21); |
| c22 = arm_dot_acc((uchar4)(a0.s2, a0.s6, a0.sA, a0.sE), (uchar4)(b0.s2, b1.s2, b2.s2, b3.s2), c22); |
| c23 = arm_dot_acc((uchar4)(a0.s2, a0.s6, a0.sA, a0.sE), (uchar4)(b0.s3, b1.s3, b2.s3, b3.s3), c23); |
| |
| c30 = arm_dot_acc((uchar4)(a0.s3, a0.s7, a0.sB, a0.sF), (uchar4)(b0.s0, b1.s0, b2.s0, b3.s0), c30); |
| c31 = arm_dot_acc((uchar4)(a0.s3, a0.s7, a0.sB, a0.sF), (uchar4)(b0.s1, b1.s1, b2.s1, b3.s1), c31); |
| c32 = arm_dot_acc((uchar4)(a0.s3, a0.s7, a0.sB, a0.sF), (uchar4)(b0.s2, b1.s2, b2.s2, b3.s2), c32); |
| c33 = arm_dot_acc((uchar4)(a0.s3, a0.s7, a0.sB, a0.sF), (uchar4)(b0.s3, b1.s3, b2.s3, b3.s3), c33); |
| } |
| #endif // MULT_INTERLEAVE4X4_HEIGHT == 1 |
| |
| for(; src_addr_b < src_end_addr_b; src_addr_a += (4 * MULT_INTERLEAVE4X4_HEIGHT), src_addr_b += (4 * TRANSPOSE1XW_WIDTH_STEP)) |
| { |
| // Load values from matrix A (interleaved) and matrix B (transposed) |
| uchar4 a0 = vload4(0, src_addr_a); |
| uchar4 b0 = vload4(0, src_addr_b); |
| |
| c00 += (ushort)a0.s0 * b0.s0; |
| c01 += (ushort)a0.s0 * b0.s1; |
| c02 += (ushort)a0.s0 * b0.s2; |
| c03 += (ushort)a0.s0 * b0.s3; |
| |
| c10 += (ushort)a0.s1 * b0.s0; |
| c11 += (ushort)a0.s1 * b0.s1; |
| c12 += (ushort)a0.s1 * b0.s2; |
| c13 += (ushort)a0.s1 * b0.s3; |
| |
| c20 += (ushort)a0.s2 * b0.s0; |
| c21 += (ushort)a0.s2 * b0.s1; |
| c22 += (ushort)a0.s2 * b0.s2; |
| c23 += (ushort)a0.s2 * b0.s3; |
| |
| c30 += (ushort)a0.s3 * b0.s0; |
| c31 += (ushort)a0.s3 * b0.s1; |
| c32 += (ushort)a0.s3 * b0.s2; |
| c33 += (ushort)a0.s3 * b0.s3; |
| } |
| |
| // Compute destination address |
| Image dst = CONVERT_TO_IMAGE_STRUCT(dst); |
| |
| // Store 4x4 block |
| vstore4((int4)(c00, c01, c02, c03), 0, (__global int *)(offset(&dst, 0, 0))); |
| vstore4((int4)(c10, c11, c12, c13), 0, (__global int *)(offset(&dst, 0, 1))); |
| vstore4((int4)(c20, c21, c22, c23), 0, (__global int *)(offset(&dst, 0, 2))); |
| vstore4((int4)(c30, c31, c32, c33), 0, (__global int *)(offset(&dst, 0, 3))); |
| } |
| #endif // ARM_COMPUTE_OPENCL_DOT8_ENABLED |
| |
| #endif // defined(COLS_B) && defined(MULT_INTERLEAVE4X4_HEIGHT) && defined(TRANSPOSE1XW_WIDTH_STEP) |
| |
| #if defined(NUM_ELEMS_PROCESSED_PER_THREAD_X) && defined(NUM_ELEMS_PROCESSED_PER_THREAD_Y) && defined(COLS_A) |
| #define VECTOR_UCHAR VEC_DATA_TYPE(uchar, NUM_ELEMS_PROCESSED_PER_THREAD_X) |
| #define VECTOR_UINT VEC_DATA_TYPE(uint, NUM_ELEMS_PROCESSED_PER_THREAD_X) |
| #define VECTOR_INT VEC_DATA_TYPE(int, NUM_ELEMS_PROCESSED_PER_THREAD_X) |
| /** This OpenCL kernel computes the matrix multiplication between matrix A (src0) and matrix B (src1) in case both matrices have not beed reshaped |
| * |
| * @attention The number of matrix A columns needs to be passed at compile time using -DCOLS_A |
| * |
| * @param[in] src0_ptr Pointer to the source matrix. Supported data type: QASYMM8 |
| * @param[in] src0_stride_x Stride of the source matrix in X dimension (in bytes) |
| * @param[in] src0_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src0_stride_y Stride of the source matrix in Y dimension (in bytes) |
| * @param[in] src0_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src0_offset_first_element_in_bytes The offset of the first element in the source matrix |
| * @param[in] src1_ptr Pointer to the source matrix. Supported data type: same as @p src0_ptr |
| * @param[in] src1_stride_x Stride of the source matrix in X dimension (in bytes) |
| * @param[in] src1_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src1_stride_y Stride of the source matrix in Y dimension (in bytes) |
| * @param[in] src1_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src1_offset_first_element_in_bytes The offset of the first element in the source matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data type: S32 |
| * @param[in] dst_stride_x Stride of the destination matrix in X dimension (in bytes) |
| * @param[in] dst_step_x dst_gx_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination matrix in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_gx_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination matrix |
| */ |
| __kernel void gemmlowp_mm_midgard(IMAGE_DECLARATION(src0), |
| IMAGE_DECLARATION(src1), |
| IMAGE_DECLARATION(dst)) |
| { |
| int idx = get_global_id(0) * NUM_ELEMS_PROCESSED_PER_THREAD_X; |
| |
| // Compute starting address for matrix A and Matrix B |
| int2 src_addr = ((int2)(src0_offset_first_element_in_bytes, src1_offset_first_element_in_bytes)); |
| |
| // Update address for the matrix A |
| src_addr.s0 += get_global_id(1) * src0_stride_y * NUM_ELEMS_PROCESSED_PER_THREAD_Y; |
| |
| // Update address for the matrix B |
| src_addr.s1 += idx; |
| |
| int end_row_vec_a = src_addr.s0 + COLS_A; |
| |
| VECTOR_UINT acc0 = 0; |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| VECTOR_UINT acc1 = 0; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| VECTOR_UINT acc2 = 0; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| VECTOR_UINT acc3 = 0; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4 |
| VECTOR_UINT acc4 = 0; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4 |
| |
| for(; src_addr.s0 <= (end_row_vec_a - 2); src_addr += (int2)(2, 2 * src1_stride_y)) |
| { |
| // Load values from matrix A |
| uchar2 a0 = vload2(0, src0_ptr + src_addr.s0 + 0 * src0_stride_y); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| uchar2 a1 = vload2(0, src0_ptr + src_addr.s0 + 1 * src0_stride_y); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| uchar2 a2 = vload2(0, src0_ptr + src_addr.s0 + 2 * src0_stride_y); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| uchar2 a3 = vload2(0, src0_ptr + src_addr.s0 + 3 * src0_stride_y); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4 |
| uchar2 a4 = vload2(0, src0_ptr + src_addr.s0 + 4 * src0_stride_y); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4 |
| // Load values from matrix B |
| VECTOR_UCHAR b0 = VLOAD(NUM_ELEMS_PROCESSED_PER_THREAD_X)(0, src1_ptr + src_addr.s1); |
| VECTOR_UCHAR b1 = VLOAD(NUM_ELEMS_PROCESSED_PER_THREAD_X)(0, src1_ptr + src_addr.s1 + src1_stride_y); |
| |
| // Accumulate |
| acc0 += CONVERT(b0, VECTOR_UINT) * (VECTOR_UINT)a0.s0; |
| acc0 += CONVERT(b1, VECTOR_UINT) * (VECTOR_UINT)a0.s1; |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| acc1 += CONVERT(b0, VECTOR_UINT) * (VECTOR_UINT)a1.s0; |
| acc1 += CONVERT(b1, VECTOR_UINT) * (VECTOR_UINT)a1.s1; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| acc2 += CONVERT(b0, VECTOR_UINT) * (VECTOR_UINT)a2.s0; |
| acc2 += CONVERT(b1, VECTOR_UINT) * (VECTOR_UINT)a2.s1; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| acc3 += CONVERT(b0, VECTOR_UINT) * (VECTOR_UINT)a3.s0; |
| acc3 += CONVERT(b1, VECTOR_UINT) * (VECTOR_UINT)a3.s1; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4 |
| acc4 += CONVERT(b0, VECTOR_UINT) * (VECTOR_UINT)a4.s0; |
| acc4 += CONVERT(b1, VECTOR_UINT) * (VECTOR_UINT)a4.s1; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4 |
| } |
| |
| for(; src_addr.s0 < end_row_vec_a; src_addr += (int2)(1, src1_stride_y)) |
| { |
| // Load values from matrix A |
| uchar a0 = *(src0_ptr + src_addr.s0 + 0 * src0_stride_y); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| uchar a1 = *(src0_ptr + src_addr.s0 + 1 * src0_stride_y); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| uchar a2 = *(src0_ptr + src_addr.s0 + 2 * src0_stride_y); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| uchar a3 = *(src0_ptr + src_addr.s0 + 3 * src0_stride_y); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4 |
| uchar a4 = *(src0_ptr + src_addr.s0 + 4 * src0_stride_y); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4 |
| // Load values from matrix B |
| VECTOR_UCHAR b0 = VLOAD(NUM_ELEMS_PROCESSED_PER_THREAD_X)(0, src1_ptr + src_addr.s1); |
| |
| // Accumulate |
| acc0 += CONVERT(b0, VECTOR_UINT) * (VECTOR_UINT)a0; |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| acc1 += CONVERT(b0, VECTOR_UINT) * (VECTOR_UINT)a1; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| acc2 += CONVERT(b0, VECTOR_UINT) * (VECTOR_UINT)a2; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| acc3 += CONVERT(b0, VECTOR_UINT) * (VECTOR_UINT)a3; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4 |
| acc4 += CONVERT(b0, VECTOR_UINT) * (VECTOR_UINT)a4; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4 |
| } |
| |
| // Compute destination address |
| Image dst = CONVERT_TO_IMAGE_STRUCT(dst); |
| |
| // Store the result |
| VSTORE(NUM_ELEMS_PROCESSED_PER_THREAD_X) |
| (CONVERT(acc0, VECTOR_INT), 0, (__global int *)(offset(&dst, 0, 0))); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| VSTORE(NUM_ELEMS_PROCESSED_PER_THREAD_X) |
| (CONVERT(acc1, VECTOR_INT), 0, (__global int *)(offset(&dst, 0, 1))); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| VSTORE(NUM_ELEMS_PROCESSED_PER_THREAD_X) |
| (CONVERT(acc2, VECTOR_INT), 0, (__global int *)(offset(&dst, 0, 2))); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| VSTORE(NUM_ELEMS_PROCESSED_PER_THREAD_X) |
| (CONVERT(acc3, VECTOR_INT), 0, (__global int *)(offset(&dst, 0, 3))); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4 |
| VSTORE(NUM_ELEMS_PROCESSED_PER_THREAD_X) |
| (CONVERT(acc4, VECTOR_INT), 0, (__global int *)(offset(&dst, 0, 4))); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4 |
| } |
| |
| /** OpenCL kernel optimized for Bifrost architectures that computes the matrix multiplication between matrix A (src0) and matrix B (src1) in case both matrices have not beed reshaped |
| * |
| * @attention The number of matrix A columns needs to be passed at compile time using -DCOLS_A |
| * |
| * @param[in] src0_ptr Pointer to the source matrix. Supported data type: QASYMM8 |
| * @param[in] src0_stride_x Stride of the source matrix in X dimension (in bytes) |
| * @param[in] src0_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src0_stride_y Stride of the source matrix in Y dimension (in bytes) |
| * @param[in] src0_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src0_offset_first_element_in_bytes The offset of the first element in the source matrix |
| * @param[in] src1_ptr Pointer to the source matrix. Supported data type: same as @p src0_ptr |
| * @param[in] src1_stride_x Stride of the source matrix in X dimension (in bytes) |
| * @param[in] src1_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src1_stride_y Stride of the source matrix in Y dimension (in bytes) |
| * @param[in] src1_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src1_offset_first_element_in_bytes The offset of the first element in the source matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data type: S32 |
| * @param[in] dst_stride_x Stride of the destination matrix in X dimension (in bytes) |
| * @param[in] dst_step_x dst_gx_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination matrix in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_gx_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination matrix |
| */ |
| __kernel void gemmlowp_mm_bifrost(IMAGE_DECLARATION(src0), |
| IMAGE_DECLARATION(src1), |
| IMAGE_DECLARATION(dst)) |
| { |
| int idx = get_global_id(0) * NUM_ELEMS_PROCESSED_PER_THREAD_X; |
| |
| // Compute starting address for matrix A and Matrix B |
| int2 src_addr = ((int2)(src0_offset_first_element_in_bytes, src1_offset_first_element_in_bytes)); |
| |
| // Update address for the matrix A |
| src_addr.s0 += get_global_id(1) * src0_stride_y * NUM_ELEMS_PROCESSED_PER_THREAD_Y; |
| |
| // Update address for the matrix B |
| src_addr.s1 += idx; |
| |
| int end_row_vec_a = src_addr.s0 + COLS_A; |
| |
| uint acc00 = 0; |
| uint acc01 = 0; |
| uint acc02 = 0; |
| uint acc03 = 0; |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| uint acc10 = 0; |
| uint acc11 = 0; |
| uint acc12 = 0; |
| uint acc13 = 0; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| uint acc20 = 0; |
| uint acc21 = 0; |
| uint acc22 = 0; |
| uint acc23 = 0; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| uint acc30 = 0; |
| uint acc31 = 0; |
| uint acc32 = 0; |
| uint acc33 = 0; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4 |
| uint acc40 = 0; |
| uint acc41 = 0; |
| uint acc42 = 0; |
| uint acc43 = 0; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4 |
| |
| for(; src_addr.s0 <= (end_row_vec_a - 4); src_addr += (int2)(4, 4 * src1_stride_y)) |
| { |
| // Load values from matrix A |
| uchar4 a0 = vload4(0, src0_ptr + src_addr.s0 + 0 * src0_stride_y); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| uchar4 a1 = vload4(0, src0_ptr + src_addr.s0 + 1 * src0_stride_y); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| uchar4 a2 = vload4(0, src0_ptr + src_addr.s0 + 2 * src0_stride_y); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| uchar4 a3 = vload4(0, src0_ptr + src_addr.s0 + 3 * src0_stride_y); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4 |
| uchar4 a4 = vload4(0, src0_ptr + src_addr.s0 + 4 * src0_stride_y); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4 |
| // Load values from matrix B |
| uchar4 b0 = vload4(0, src1_ptr + src_addr.s1 + 0 * src1_stride_y); |
| uchar4 b1 = vload4(0, src1_ptr + src_addr.s1 + 1 * src1_stride_y); |
| uchar4 b2 = vload4(0, src1_ptr + src_addr.s1 + 2 * src1_stride_y); |
| uchar4 b3 = vload4(0, src1_ptr + src_addr.s1 + 3 * src1_stride_y); |
| |
| { |
| // Accumulate |
| ushort tmp0 = (ushort)b0.s0 * (ushort)a0.s0; |
| ushort tmp1 = (ushort)b0.s1 * (ushort)a0.s0; |
| ushort tmp2 = (ushort)b0.s2 * (ushort)a0.s0; |
| ushort tmp3 = (ushort)b0.s3 * (ushort)a0.s0; |
| |
| ushort tmp4 = (ushort)b1.s0 * (ushort)a0.s1; |
| ushort tmp5 = (ushort)b1.s1 * (ushort)a0.s1; |
| ushort tmp6 = (ushort)b1.s2 * (ushort)a0.s1; |
| ushort tmp7 = (ushort)b1.s3 * (ushort)a0.s1; |
| |
| ushort tmp8 = (ushort)b2.s0 * (ushort)a0.s2; |
| ushort tmp9 = (ushort)b2.s1 * (ushort)a0.s2; |
| ushort tmpA = (ushort)b2.s2 * (ushort)a0.s2; |
| ushort tmpB = (ushort)b2.s3 * (ushort)a0.s2; |
| |
| ushort tmpC = (ushort)b3.s0 * (ushort)a0.s3; |
| ushort tmpD = (ushort)b3.s1 * (ushort)a0.s3; |
| ushort tmpE = (ushort)b3.s2 * (ushort)a0.s3; |
| ushort tmpF = (ushort)b3.s3 * (ushort)a0.s3; |
| |
| acc00 += ((uint)tmp0 + (uint)tmp4 + (uint)tmp8 + (uint)tmpC); |
| acc01 += ((uint)tmp1 + (uint)tmp5 + (uint)tmp9 + (uint)tmpD); |
| acc02 += ((uint)tmp2 + (uint)tmp6 + (uint)tmpA + (uint)tmpE); |
| acc03 += ((uint)tmp3 + (uint)tmp7 + (uint)tmpB + (uint)tmpF); |
| } |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| { |
| // Accumulate |
| ushort tmp0 = (ushort)b0.s0 * (ushort)a1.s0; |
| ushort tmp1 = (ushort)b0.s1 * (ushort)a1.s0; |
| ushort tmp2 = (ushort)b0.s2 * (ushort)a1.s0; |
| ushort tmp3 = (ushort)b0.s3 * (ushort)a1.s0; |
| |
| ushort tmp4 = (ushort)b1.s0 * (ushort)a1.s1; |
| ushort tmp5 = (ushort)b1.s1 * (ushort)a1.s1; |
| ushort tmp6 = (ushort)b1.s2 * (ushort)a1.s1; |
| ushort tmp7 = (ushort)b1.s3 * (ushort)a1.s1; |
| |
| ushort tmp8 = (ushort)b2.s0 * (ushort)a1.s2; |
| ushort tmp9 = (ushort)b2.s1 * (ushort)a1.s2; |
| ushort tmpA = (ushort)b2.s2 * (ushort)a1.s2; |
| ushort tmpB = (ushort)b2.s3 * (ushort)a1.s2; |
| |
| ushort tmpC = (ushort)b3.s0 * (ushort)a1.s3; |
| ushort tmpD = (ushort)b3.s1 * (ushort)a1.s3; |
| ushort tmpE = (ushort)b3.s2 * (ushort)a1.s3; |
| ushort tmpF = (ushort)b3.s3 * (ushort)a1.s3; |
| |
| acc10 += ((uint)tmp0 + (uint)tmp4 + (uint)tmp8 + (uint)tmpC); |
| acc11 += ((uint)tmp1 + (uint)tmp5 + (uint)tmp9 + (uint)tmpD); |
| acc12 += ((uint)tmp2 + (uint)tmp6 + (uint)tmpA + (uint)tmpE); |
| acc13 += ((uint)tmp3 + (uint)tmp7 + (uint)tmpB + (uint)tmpF); |
| } |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| { |
| // Accumulate |
| ushort tmp0 = (ushort)b0.s0 * (ushort)a2.s0; |
| ushort tmp1 = (ushort)b0.s1 * (ushort)a2.s0; |
| ushort tmp2 = (ushort)b0.s2 * (ushort)a2.s0; |
| ushort tmp3 = (ushort)b0.s3 * (ushort)a2.s0; |
| |
| ushort tmp4 = (ushort)b1.s0 * (ushort)a2.s1; |
| ushort tmp5 = (ushort)b1.s1 * (ushort)a2.s1; |
| ushort tmp6 = (ushort)b1.s2 * (ushort)a2.s1; |
| ushort tmp7 = (ushort)b1.s3 * (ushort)a2.s1; |
| |
| ushort tmp8 = (ushort)b2.s0 * (ushort)a2.s2; |
| ushort tmp9 = (ushort)b2.s1 * (ushort)a2.s2; |
| ushort tmpA = (ushort)b2.s2 * (ushort)a2.s2; |
| ushort tmpB = (ushort)b2.s3 * (ushort)a2.s2; |
| |
| ushort tmpC = (ushort)b3.s0 * (ushort)a2.s3; |
| ushort tmpD = (ushort)b3.s1 * (ushort)a2.s3; |
| ushort tmpE = (ushort)b3.s2 * (ushort)a2.s3; |
| ushort tmpF = (ushort)b3.s3 * (ushort)a2.s3; |
| |
| acc20 += ((uint)tmp0 + (uint)tmp4 + (uint)tmp8 + (uint)tmpC); |
| acc21 += ((uint)tmp1 + (uint)tmp5 + (uint)tmp9 + (uint)tmpD); |
| acc22 += ((uint)tmp2 + (uint)tmp6 + (uint)tmpA + (uint)tmpE); |
| acc23 += ((uint)tmp3 + (uint)tmp7 + (uint)tmpB + (uint)tmpF); |
| } |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| { |
| // Accumulate |
| ushort tmp0 = (ushort)b0.s0 * (ushort)a3.s0; |
| ushort tmp1 = (ushort)b0.s1 * (ushort)a3.s0; |
| ushort tmp2 = (ushort)b0.s2 * (ushort)a3.s0; |
| ushort tmp3 = (ushort)b0.s3 * (ushort)a3.s0; |
| |
| ushort tmp4 = (ushort)b1.s0 * (ushort)a3.s1; |
| ushort tmp5 = (ushort)b1.s1 * (ushort)a3.s1; |
| ushort tmp6 = (ushort)b1.s2 * (ushort)a3.s1; |
| ushort tmp7 = (ushort)b1.s3 * (ushort)a3.s1; |
| |
| ushort tmp8 = (ushort)b2.s0 * (ushort)a3.s2; |
| ushort tmp9 = (ushort)b2.s1 * (ushort)a3.s2; |
| ushort tmpA = (ushort)b2.s2 * (ushort)a3.s2; |
| ushort tmpB = (ushort)b2.s3 * (ushort)a3.s2; |
| |
| ushort tmpC = (ushort)b3.s0 * (ushort)a3.s3; |
| ushort tmpD = (ushort)b3.s1 * (ushort)a3.s3; |
| ushort tmpE = (ushort)b3.s2 * (ushort)a3.s3; |
| ushort tmpF = (ushort)b3.s3 * (ushort)a3.s3; |
| |
| acc30 += ((uint)tmp0 + (uint)tmp4 + (uint)tmp8 + (uint)tmpC); |
| acc31 += ((uint)tmp1 + (uint)tmp5 + (uint)tmp9 + (uint)tmpD); |
| acc32 += ((uint)tmp2 + (uint)tmp6 + (uint)tmpA + (uint)tmpE); |
| acc33 += ((uint)tmp3 + (uint)tmp7 + (uint)tmpB + (uint)tmpF); |
| } |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4 |
| { |
| // Accumulate |
| ushort tmp0 = (ushort)b0.s0 * (ushort)a4.s0; |
| ushort tmp1 = (ushort)b0.s1 * (ushort)a4.s0; |
| ushort tmp2 = (ushort)b0.s2 * (ushort)a4.s0; |
| ushort tmp3 = (ushort)b0.s3 * (ushort)a4.s0; |
| |
| ushort tmp4 = (ushort)b1.s0 * (ushort)a4.s1; |
| ushort tmp5 = (ushort)b1.s1 * (ushort)a4.s1; |
| ushort tmp6 = (ushort)b1.s2 * (ushort)a4.s1; |
| ushort tmp7 = (ushort)b1.s3 * (ushort)a4.s1; |
| |
| ushort tmp8 = (ushort)b2.s0 * (ushort)a4.s2; |
| ushort tmp9 = (ushort)b2.s1 * (ushort)a4.s2; |
| ushort tmpA = (ushort)b2.s2 * (ushort)a4.s2; |
| ushort tmpB = (ushort)b2.s3 * (ushort)a4.s2; |
| |
| ushort tmpC = (ushort)b3.s0 * (ushort)a4.s3; |
| ushort tmpD = (ushort)b3.s1 * (ushort)a4.s3; |
| ushort tmpE = (ushort)b3.s2 * (ushort)a4.s3; |
| ushort tmpF = (ushort)b3.s3 * (ushort)a4.s3; |
| |
| acc40 += ((uint)tmp0 + (uint)tmp4 + (uint)tmp8 + (uint)tmpC); |
| acc41 += ((uint)tmp1 + (uint)tmp5 + (uint)tmp9 + (uint)tmpD); |
| acc42 += ((uint)tmp2 + (uint)tmp6 + (uint)tmpA + (uint)tmpE); |
| acc43 += ((uint)tmp3 + (uint)tmp7 + (uint)tmpB + (uint)tmpF); |
| } |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4 |
| } |
| |
| for(; src_addr.s0 < end_row_vec_a; src_addr += (int2)(1, src1_stride_y)) |
| { |
| // Load values from matrix A |
| uchar a0 = *(src0_ptr + src_addr.s0 + 0 * src0_stride_y); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| uchar a1 = *(src0_ptr + src_addr.s0 + 1 * src0_stride_y); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| uchar a2 = *(src0_ptr + src_addr.s0 + 2 * src0_stride_y); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| uchar a3 = *(src0_ptr + src_addr.s0 + 3 * src0_stride_y); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4 |
| uchar a4 = *(src0_ptr + src_addr.s0 + 4 * src0_stride_y); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4 |
| // Load values from matrix B |
| uchar4 b0 = vload4(0, src1_ptr + src_addr.s1); |
| |
| // Accumulate |
| { |
| // Accumulate |
| ushort tmp0 = (ushort)b0.s0 * (ushort)a0; |
| ushort tmp1 = (ushort)b0.s1 * (ushort)a0; |
| ushort tmp2 = (ushort)b0.s2 * (ushort)a0; |
| ushort tmp3 = (ushort)b0.s3 * (ushort)a0; |
| |
| acc00 += ((uint)tmp0); |
| acc01 += ((uint)tmp1); |
| acc02 += ((uint)tmp2); |
| acc03 += ((uint)tmp3); |
| } |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| { |
| // Accumulate |
| ushort tmp0 = (ushort)b0.s0 * (ushort)a1; |
| ushort tmp1 = (ushort)b0.s1 * (ushort)a1; |
| ushort tmp2 = (ushort)b0.s2 * (ushort)a1; |
| ushort tmp3 = (ushort)b0.s3 * (ushort)a1; |
| |
| acc10 += ((uint)tmp0); |
| acc11 += ((uint)tmp1); |
| acc12 += ((uint)tmp2); |
| acc13 += ((uint)tmp3); |
| } |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| { |
| // Accumulate |
| ushort tmp0 = (ushort)b0.s0 * (ushort)a2; |
| ushort tmp1 = (ushort)b0.s1 * (ushort)a2; |
| ushort tmp2 = (ushort)b0.s2 * (ushort)a2; |
| ushort tmp3 = (ushort)b0.s3 * (ushort)a2; |
| |
| acc20 += ((uint)tmp0); |
| acc21 += ((uint)tmp1); |
| acc22 += ((uint)tmp2); |
| acc23 += ((uint)tmp3); |
| } |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| { |
| // Accumulate |
| ushort tmp0 = (ushort)b0.s0 * (ushort)a3; |
| ushort tmp1 = (ushort)b0.s1 * (ushort)a3; |
| ushort tmp2 = (ushort)b0.s2 * (ushort)a3; |
| ushort tmp3 = (ushort)b0.s3 * (ushort)a3; |
| |
| acc30 += ((uint)tmp0); |
| acc31 += ((uint)tmp1); |
| acc32 += ((uint)tmp2); |
| acc33 += ((uint)tmp3); |
| } |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4 |
| { |
| // Accumulate |
| ushort tmp0 = (ushort)b0.s0 * (ushort)a4; |
| ushort tmp1 = (ushort)b0.s1 * (ushort)a4; |
| ushort tmp2 = (ushort)b0.s2 * (ushort)a4; |
| ushort tmp3 = (ushort)b0.s3 * (ushort)a4; |
| |
| acc40 += ((uint)tmp0); |
| acc41 += ((uint)tmp1); |
| acc42 += ((uint)tmp2); |
| acc43 += ((uint)tmp3); |
| } |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4 |
| } |
| |
| // Compute destination address |
| Image dst = CONVERT_TO_IMAGE_STRUCT(dst); |
| |
| // Store the result |
| vstore4((int4)(acc00, acc01, acc02, acc03), 0, (__global int *)(offset(&dst, 0, 0))); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| vstore4((int4)(acc10, acc11, acc12, acc13), 0, (__global int *)(offset(&dst, 0, 1))); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| vstore4((int4)(acc20, acc21, acc22, acc23), 0, (__global int *)(offset(&dst, 0, 2))); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| vstore4((int4)(acc30, acc31, acc32, acc33), 0, (__global int *)(offset(&dst, 0, 3))); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4 |
| vstore4((int4)(acc40, acc41, acc42, acc43), 0, (__global int *)(offset(&dst, 0, 4))); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4 |
| } |
| |
| #if ARM_COMPUTE_OPENCL_DOT8_ENABLED |
| /** OpenCL kernel optimized to use dot product that computes the matrix multiplication between matrix A (src0) and matrix B (src1) in case both matrices have not beed reshaped |
| * |
| * @attention The number of matrix A columns needs to be passed at compile time using -DCOLS_A |
| * |
| * @param[in] src0_ptr Pointer to the source matrix. Supported data type: QASYMM8 |
| * @param[in] src0_stride_x Stride of the source matrix in X dimension (in bytes) |
| * @param[in] src0_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src0_stride_y Stride of the source matrix in Y dimension (in bytes) |
| * @param[in] src0_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src0_offset_first_element_in_bytes The offset of the first element in the source matrix |
| * @param[in] src1_ptr Pointer to the source matrix. Supported data type: same as @p src0_ptr |
| * @param[in] src1_stride_x Stride of the source matrix in X dimension (in bytes) |
| * @param[in] src1_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src1_stride_y Stride of the source matrix in Y dimension (in bytes) |
| * @param[in] src1_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src1_offset_first_element_in_bytes The offset of the first element in the source matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data type: S32 |
| * @param[in] dst_stride_x Stride of the destination matrix in X dimension (in bytes) |
| * @param[in] dst_step_x dst_gx_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination matrix in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_gx_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination matrix |
| */ |
| __kernel void gemmlowp_mm_bifrost_dot8(IMAGE_DECLARATION(src0), |
| IMAGE_DECLARATION(src1), |
| IMAGE_DECLARATION(dst)) |
| { |
| int idx = get_global_id(0) * NUM_ELEMS_PROCESSED_PER_THREAD_X; |
| |
| // Compute starting address for matrix A and Matrix B |
| int2 src_addr = ((int2)(src0_offset_first_element_in_bytes, src1_offset_first_element_in_bytes)); |
| |
| // Update address for the matrix A |
| src_addr.s0 += get_global_id(1) * src0_stride_y * NUM_ELEMS_PROCESSED_PER_THREAD_Y; |
| |
| // Update address for the matrix B |
| src_addr.s1 += idx; |
| |
| int end_row_vec_a = src_addr.s0 + COLS_A; |
| |
| uint acc00 = 0; |
| uint acc01 = 0; |
| uint acc02 = 0; |
| uint acc03 = 0; |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| uint acc10 = 0; |
| uint acc11 = 0; |
| uint acc12 = 0; |
| uint acc13 = 0; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| uint acc20 = 0; |
| uint acc21 = 0; |
| uint acc22 = 0; |
| uint acc23 = 0; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| uint acc30 = 0; |
| uint acc31 = 0; |
| uint acc32 = 0; |
| uint acc33 = 0; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4 |
| uint acc40 = 0; |
| uint acc41 = 0; |
| uint acc42 = 0; |
| uint acc43 = 0; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4 |
| |
| for(; src_addr.s0 <= (end_row_vec_a - 4); src_addr += (int2)(4, 4 * src1_stride_y)) |
| { |
| // Load values from matrix A |
| uchar4 a0 = vload4(0, src0_ptr + src_addr.s0 + 0 * src0_stride_y); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| uchar4 a1 = vload4(0, src0_ptr + src_addr.s0 + 1 * src0_stride_y); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| uchar4 a2 = vload4(0, src0_ptr + src_addr.s0 + 2 * src0_stride_y); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| uchar4 a3 = vload4(0, src0_ptr + src_addr.s0 + 3 * src0_stride_y); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4 |
| uchar4 a4 = vload4(0, src0_ptr + src_addr.s0 + 4 * src0_stride_y); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4 |
| // Load values from matrix B |
| uchar4 b0 = vload4(0, src1_ptr + src_addr.s1 + 0 * src1_stride_y); |
| uchar4 b1 = vload4(0, src1_ptr + src_addr.s1 + 1 * src1_stride_y); |
| uchar4 b2 = vload4(0, src1_ptr + src_addr.s1 + 2 * src1_stride_y); |
| uchar4 b3 = vload4(0, src1_ptr + src_addr.s1 + 3 * src1_stride_y); |
| |
| { |
| // Accumulate |
| acc00 = arm_dot_acc((uchar4)(b0.s0, b1.s0, b2.s0, b3.s0), a0, acc00); |
| acc01 = arm_dot_acc((uchar4)(b0.s1, b1.s1, b2.s1, b3.s1), a0, acc01); |
| acc02 = arm_dot_acc((uchar4)(b0.s2, b1.s2, b2.s2, b3.s2), a0, acc02); |
| acc03 = arm_dot_acc((uchar4)(b0.s3, b1.s3, b2.s3, b3.s3), a0, acc03); |
| } |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| { |
| // Accumulate |
| acc10 = arm_dot_acc((uchar4)(b0.s0, b1.s0, b2.s0, b3.s0), a1, acc10); |
| acc11 = arm_dot_acc((uchar4)(b0.s1, b1.s1, b2.s1, b3.s1), a1, acc11); |
| acc12 = arm_dot_acc((uchar4)(b0.s2, b1.s2, b2.s2, b3.s2), a1, acc12); |
| acc13 = arm_dot_acc((uchar4)(b0.s3, b1.s3, b2.s3, b3.s3), a1, acc13); |
| } |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| { |
| // Accumulate |
| acc20 = arm_dot_acc((uchar4)(b0.s0, b1.s0, b2.s0, b3.s0), a2, acc20); |
| acc21 = arm_dot_acc((uchar4)(b0.s1, b1.s1, b2.s1, b3.s1), a2, acc21); |
| acc22 = arm_dot_acc((uchar4)(b0.s2, b1.s2, b2.s2, b3.s2), a2, acc22); |
| acc23 = arm_dot_acc((uchar4)(b0.s3, b1.s3, b2.s3, b3.s3), a2, acc23); |
| } |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| { |
| // Accumulate |
| acc30 = arm_dot_acc((uchar4)(b0.s0, b1.s0, b2.s0, b3.s0), a3, acc30); |
| acc31 = arm_dot_acc((uchar4)(b0.s1, b1.s1, b2.s1, b3.s1), a3, acc31); |
| acc32 = arm_dot_acc((uchar4)(b0.s2, b1.s2, b2.s2, b3.s2), a3, acc32); |
| acc33 = arm_dot_acc((uchar4)(b0.s3, b1.s3, b2.s3, b3.s3), a3, acc33); |
| } |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4 |
| { |
| // Accumulate |
| acc40 = arm_dot_acc((uchar4)(b0.s0, b1.s0, b2.s0, b3.s0), a4, acc40); |
| acc41 = arm_dot_acc((uchar4)(b0.s1, b1.s1, b2.s1, b3.s1), a4, acc41); |
| acc42 = arm_dot_acc((uchar4)(b0.s2, b1.s2, b2.s2, b3.s2), a4, acc42); |
| acc43 = arm_dot_acc((uchar4)(b0.s3, b1.s3, b2.s3, b3.s3), a4, acc43); |
| } |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4 |
| } |
| |
| for(; src_addr.s0 < end_row_vec_a; src_addr += (int2)(1, src1_stride_y)) |
| { |
| // Load values from matrix A |
| uchar a0 = *(src0_ptr + src_addr.s0 + 0 * src0_stride_y); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| uchar a1 = *(src0_ptr + src_addr.s0 + 1 * src0_stride_y); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| uchar a2 = *(src0_ptr + src_addr.s0 + 2 * src0_stride_y); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| uchar a3 = *(src0_ptr + src_addr.s0 + 3 * src0_stride_y); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4 |
| uchar a4 = *(src0_ptr + src_addr.s0 + 4 * src0_stride_y); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4 |
| // Load values from matrix B |
| uchar4 b0 = vload4(0, src1_ptr + src_addr.s1); |
| |
| // Accumulate |
| { |
| // Accumulate |
| ushort tmp0 = (ushort)b0.s0 * (ushort)a0; |
| ushort tmp1 = (ushort)b0.s1 * (ushort)a0; |
| ushort tmp2 = (ushort)b0.s2 * (ushort)a0; |
| ushort tmp3 = (ushort)b0.s3 * (ushort)a0; |
| |
| acc00 += ((uint)tmp0); |
| acc01 += ((uint)tmp1); |
| acc02 += ((uint)tmp2); |
| acc03 += ((uint)tmp3); |
| } |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| { |
| // Accumulate |
| ushort tmp0 = (ushort)b0.s0 * (ushort)a1; |
| ushort tmp1 = (ushort)b0.s1 * (ushort)a1; |
| ushort tmp2 = (ushort)b0.s2 * (ushort)a1; |
| ushort tmp3 = (ushort)b0.s3 * (ushort)a1; |
| |
| acc10 += ((uint)tmp0); |
| acc11 += ((uint)tmp1); |
| acc12 += ((uint)tmp2); |
| acc13 += ((uint)tmp3); |
| } |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| { |
| // Accumulate |
| ushort tmp0 = (ushort)b0.s0 * (ushort)a2; |
| ushort tmp1 = (ushort)b0.s1 * (ushort)a2; |
| ushort tmp2 = (ushort)b0.s2 * (ushort)a2; |
| ushort tmp3 = (ushort)b0.s3 * (ushort)a2; |
| |
| acc20 += ((uint)tmp0); |
| acc21 += ((uint)tmp1); |
| acc22 += ((uint)tmp2); |
| acc23 += ((uint)tmp3); |
| } |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| { |
| // Accumulate |
| ushort tmp0 = (ushort)b0.s0 * (ushort)a3; |
| ushort tmp1 = (ushort)b0.s1 * (ushort)a3; |
| ushort tmp2 = (ushort)b0.s2 * (ushort)a3; |
| ushort tmp3 = (ushort)b0.s3 * (ushort)a3; |
| |
| acc30 += ((uint)tmp0); |
| acc31 += ((uint)tmp1); |
| acc32 += ((uint)tmp2); |
| acc33 += ((uint)tmp3); |
| } |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4 |
| { |
| // Accumulate |
| ushort tmp0 = (ushort)b0.s0 * (ushort)a4; |
| ushort tmp1 = (ushort)b0.s1 * (ushort)a4; |
| ushort tmp2 = (ushort)b0.s2 * (ushort)a4; |
| ushort tmp3 = (ushort)b0.s3 * (ushort)a4; |
| |
| acc40 += ((uint)tmp0); |
| acc41 += ((uint)tmp1); |
| acc42 += ((uint)tmp2); |
| acc43 += ((uint)tmp3); |
| } |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4 |
| } |
| |
| // Compute destination address |
| Image dst = CONVERT_TO_IMAGE_STRUCT(dst); |
| |
| // Store the result |
| vstore4((int4)(acc00, acc01, acc02, acc03), 0, (__global int *)(offset(&dst, 0, 0))); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| vstore4((int4)(acc10, acc11, acc12, acc13), 0, (__global int *)(offset(&dst, 0, 1))); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| vstore4((int4)(acc20, acc21, acc22, acc23), 0, (__global int *)(offset(&dst, 0, 2))); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| vstore4((int4)(acc30, acc31, acc32, acc33), 0, (__global int *)(offset(&dst, 0, 3))); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4 |
| vstore4((int4)(acc40, acc41, acc42, acc43), 0, (__global int *)(offset(&dst, 0, 4))); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4 |
| } |
| #endif // ARM_COMPUTE_OPENCL_DOT8_ENABLED |
| |
| #endif // defined(NUM_ELEMS_PROCESSED_PER_THREAD_X) && defined(NUM_ELEMS_PROCESSED_PER_THREAD_Y) && defined(COLS_A) |
| |
| #if defined(COLS_A) |
| /** OpenCL kernel used to compute the row-vectors of sums of all the entries in each row of Matrix A. |
| * |
| * @note This stage is needed to handle the offset of matrix product |
| * https://github.com/google/gemmlowp/blob/master/doc/low-precision.md |
| * |
| * @attention The number of matrix A columns needs to be passed at compile time using -DCOLS_A |
| * |
| * @param[in] src_ptr Pointer to the source tensor. Supported data type: QASYMM8 |
| * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @param[out] dst_ptr Pointer to the destination tensor Supported data type: S32 |
| * @param[in] dst_stride_x Stride of the destination tensor 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 tensor in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_gx_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| */ |
| __kernel void gemmlowp_matrix_a_reduction(TENSOR3D_DECLARATION(src), |
| IMAGE_DECLARATION(dst)) |
| { |
| // Compute source and destination addresses |
| Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); |
| Image dst = CONVERT_TO_IMAGE_STRUCT(dst); |
| |
| uint4 sum_row_u32 = (uint4)0; |
| uint sum_row = 0; |
| |
| __global const uchar *matrix_a = (__global const uchar *)(src.ptr + get_global_id(0) * src_stride_y + get_global_id(1) * src_stride_z); |
| |
| int i = 0; |
| |
| // This for loop performs 16 accumulations |
| for(; i <= ((int)COLS_A - 16); i += 16) |
| { |
| const uchar16 a0_u8 = vload16(0, matrix_a + i); |
| |
| sum_row_u32 += convert_uint4(a0_u8.s0123) + convert_uint4(a0_u8.s4567) + convert_uint4(a0_u8.s89AB) + convert_uint4(a0_u8.sCDEF); |
| } |
| |
| // This for loop performs the leftover accumulations |
| for(; i < COLS_A; ++i) |
| { |
| sum_row += matrix_a[i]; |
| } |
| |
| sum_row += sum_row_u32.s0 + sum_row_u32.s1 + sum_row_u32.s2 + sum_row_u32.s3; |
| |
| *((__global int *)dst.ptr) = (int)sum_row; |
| } |
| #endif // defined(COLS_A) |
| |
| #if defined(COLS_B) && defined(ROWS_B) |
| /** OpenCL kernel used to compute the row-vectors of sums of all the entries in each column of Matrix B. |
| * |
| * @note This stage is needed to handle the offset of matrix product |
| * https://github.com/google/gemmlowp/blob/master/doc/low-precision.md |
| * |
| * @attention The number of matrix B columns and rows needs to be passed at compile time using -DCOLS_B and -DROWS_B |
| * |
| * @param[in] src_ptr Pointer to the source tensor. Supported data type: QASYMM8 |
| * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @param[out] dst_ptr Pointer to the destination tensor Supported data type: S32 |
| * @param[in] dst_stride_x Stride of the destination tensor 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 tensor in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_gx_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| */ |
| __kernel void gemmlowp_matrix_b_reduction(TENSOR3D_DECLARATION(src), |
| IMAGE_DECLARATION(dst)) |
| { |
| // Compute source and destination addresses |
| Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); |
| Image dst = CONVERT_TO_IMAGE_STRUCT(dst); |
| |
| uint16 sum_col_u32 = (uint16)0; |
| |
| __global const uchar *matrix_b = (__global const uchar *)(src.ptr + get_global_id(1) * src_stride_z); |
| |
| int i = 0; |
| // This for loop performs 4 accumulations |
| for(; i <= ((int)ROWS_B - 4); i += 4) |
| { |
| const uchar16 b0_u8 = vload16(0, matrix_b + 0 * src_stride_y); |
| const uchar16 b1_u8 = vload16(0, matrix_b + 1 * src_stride_y); |
| const uchar16 b2_u8 = vload16(0, matrix_b + 2 * src_stride_y); |
| const uchar16 b3_u8 = vload16(0, matrix_b + 3 * src_stride_y); |
| |
| sum_col_u32 += convert_uint16(b0_u8) + convert_uint16(b1_u8) + convert_uint16(b2_u8) + convert_uint16(b3_u8); |
| |
| matrix_b += 4 * src_stride_y; |
| } |
| |
| // This for loop perfoms the leftover accumulations |
| for(; i < (int)ROWS_B; ++i) |
| { |
| const uchar16 b0_u8 = vload16(0, matrix_b); |
| |
| sum_col_u32 += convert_uint16(b0_u8); |
| |
| matrix_b += src_stride_y; |
| } |
| |
| vstore16(convert_int16(sum_col_u32), 0, (__global int *)dst.ptr); |
| } |
| #endif // defined(COLS_B) && defined(ROWS_B) |
| |
| #if defined(K_OFFSET) |
| /* OpenCL kernel used to add the offset contribution after @ref CLGEMMLowpMatrixMultiplyKernel. The computation is performed in-place |
| * |
| * This kernel takes a final int32 accumulator value (the output of @CLGEMMLowpMatrixMultiplyKernel), |
| * and adds to it the offset contribution of matrix A and matrix B in-place. |
| * |
| * @attention The k_offset = a_offset * b_offset * k (where k is the number of matrix A columns) needs to be passed at compile time using -DK_OFFSET (i.e. -DK_OFFSET=1200) |
| * @note In case the offset contribution due to a_offset is required, a_offset needs to be passed at compile time using -DA_OFFSET (i.e. -DA_OFFSET=1) |
| * @note In case the offset contribution due to b_offset is required, b_offset needs to be passed at compile time using -DB_OFFSET (i.e. -DB_OFFSET=6) |
| * @note In case sum_col has batches, -DSUM_COL_HAS_BATCHES must be passed at compile time. Usually if gemmlowp is used to accelerate convolution layer, sum_col will not have batches |
| * |
| * The final result is: |
| * |
| * mm_result[i][k] = mm_result[i][k] + |
| * (sum_col[k] * A_OFFSET) + |
| * (sum_row[i] * B_OFFSET) + |
| * (K_OFFSET) |
| * |
| * @param[in] mm_result_ptr Pointer to the source tensor. Supported data type: S32 |
| * @param[in] mm_result_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in] mm_result_step_x mm_result_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] mm_result_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in] mm_result_step_y mm_result_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] mm_result_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in] mm_result_step_z mm_result_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] mm_result_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @param[in] sum_col_result_ptr Pointer to the source tensor. Supported data type: same as @p mm_result_ptr |
| * @param[in] sum_col_result_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in] sum_col_result_step_x sum_col_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] sum_col_result_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in] sum_col_result_step_y sum_col_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] sum_col_result_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @param[in] sum_row_result_ptr Pointer to the source tensor. Supported data type: same as @p mm_result_ptr |
| * @param[in] sum_row_result_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in] sum_row_result_step_x sum_row_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] sum_row_result_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in] sum_row_result_step_y sum_row_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] sum_row_result_offset_first_element_in_bytes The offset of the first element in the source tensor |
| */ |
| __kernel void gemmlowp_offset_contribution(TENSOR3D_DECLARATION(mm_result) |
| #if defined(A_OFFSET) |
| , |
| IMAGE_DECLARATION(sum_col) |
| #endif // defined(A_OFFSET) |
| #if defined(B_OFFSET) |
| , |
| IMAGE_DECLARATION(sum_row) |
| #endif // defined(B_OFFSET) |
| ) |
| { |
| Tensor3D mm_result = CONVERT_TO_TENSOR3D_STRUCT(mm_result); |
| |
| int4 a_offset_s32 = (int4)0; |
| int4 b_offset_s32 = (int4)0; |
| |
| #if defined(A_OFFSET) |
| Image sum_col = CONVERT_TO_IMAGE_STRUCT(sum_col); |
| |
| // Compute the offset contribution due to A_OFFSET |
| #if defined(SUM_COL_HAS_BATCHES) |
| a_offset_s32 = vload4(0, (__global int *)(sum_col.ptr + get_global_id(2) * sum_col_stride_y)); |
| #else // defined(MATRIX_B_HAS_BATCHES) |
| a_offset_s32 = vload4(0, (__global int *)(sum_col.ptr)); |
| #endif // defined(MATRIX_B_HAS_BATCHES) |
| |
| a_offset_s32 *= (int4)A_OFFSET; |
| #endif // defined(A_OFFSET) |
| |
| #if defined(B_OFFSET) |
| Image sum_row = CONVERT_TO_IMAGE_STRUCT(sum_row); |
| |
| // Compute the offset contribution due to B_OFFSET |
| b_offset_s32 = (int4) * (((__global int *)(sum_row.ptr + get_global_id(2) * sum_row_stride_y)) + get_global_id(1)); |
| b_offset_s32 *= (int4)B_OFFSET; |
| #endif // defined(B_OFFSET) |
| |
| const int4 offset_term_s32 = (int4)K_OFFSET + a_offset_s32 + b_offset_s32; |
| |
| int4 in_s32 = vload4(0, (__global int *)mm_result.ptr); |
| |
| // Add the offset terms to GEMM's result |
| in_s32 += offset_term_s32; |
| |
| // Store the result with the offset contribution |
| vstore4(in_s32, 0, (__global int *)mm_result.ptr); |
| } |
| #endif // defined(K_OFFSET) |
| |
| #if defined(RESULT_OFFSET) && defined(RESULT_MULT_INT) && defined(RESULT_SHIFT) |
| /** This OpenCL kernel is used to quantize down the int32 accumulator values of GEMMLowp to QASYMM8 |
| * |
| * This kernel takes a final int32 accumulator value and processes it to obtain the final QASYMM8 value. |
| * The following computations will be performed by the kernel: |
| * |
| * -# Add offset terms to final result |
| * -# Multiply each entry of result by result_mult_int |
| * -# Add bias to final result (if -DADD_BIAS is passed at compile time) |
| * -# Shift the int32 accumulator by result_shift |
| * -# Clamp the value between the specified min and max bounds (if -DMIN_BOUND and/or -DMAX_BOUND are passed at compile time) |
| * -# Clamp the resulting int32 values to the [0..255] range and cast to QASYMM8. |
| * |
| * @attention The offset, scalar scale factor and number of bits to shift right of output tensor must be passed at compile time using -DRESULT_OFFSET, -RESULT_MULT_INT and -DRESULT_SHIFT |
| * |
| * @note In case the addition of int32 biases is required, -DADD_BIAS should be passed at compile time |
| * @note In case the clamping of the result is required, the min and max bounds can be passed at compile time using -DMIN_BOUND and -DMAX_BOUND. |
| * These values can be used to implement "rectified linear unit" activation functions |
| * |
| * @param[in] src_ptr Pointer to the source tensor. Supported data type: S32 |
| * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @param[in] biases_ptr Pointer to the biases tensor. Supported data type: same as @p src_ptr |
| * @param[in] biases_stride_x Stride of the biases tensor in X dimension (in bytes) |
| * @param[in] biases_step_x biases_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] biases_offset_first_element_in_bytes The offset of the first element in the biases tensor |
| * @param[out] dst_ptr Pointer to the destination tensor Supported data type: QASYMM8 |
| * @param[in] dst_stride_x Stride of the destination tensor 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 tensor 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 source tensor in Z dimension (in bytes) |
| * @param[in] dst_step_z src_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 tensor |
| */ |
| __kernel void gemmlowp_output_stage_quantize_down(TENSOR3D_DECLARATION(src), |
| #if defined(ADD_BIAS) |
| VECTOR_DECLARATION(biases), |
| #endif // defined(ADD_BIAS) |
| TENSOR3D_DECLARATION(dst)) |
| { |
| // Compute source and destination addresses |
| Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); |
| Tensor3D dst = CONVERT_TO_TENSOR3D_STRUCT(dst); |
| #if defined(ADD_BIAS) |
| Vector biases = CONVERT_TO_VECTOR_STRUCT(biases); |
| #endif // defined(ADD_BIAS) |
| |
| int16 input_values = vload16(0, (__global int *)src.ptr); |
| |
| // Add the offset terms to GEMM's result |
| input_values += (int16)RESULT_OFFSET; |
| |
| #if defined(ADD_BIAS) |
| // Add bias |
| const int16 biases_values = vload16(0, (__global int *)biases.ptr); |
| input_values += (int16)biases_values; |
| #endif // defined(ADD_BIAS) |
| |
| // Multiply by result_mult_int and shift |
| input_values *= RESULT_MULT_INT; |
| |
| input_values >>= RESULT_SHIFT; |
| |
| uchar16 res = convert_uchar16_sat(input_values); |
| |
| #if defined(MIN_BOUND) |
| res = max(res, (uchar16)MIN_BOUND); |
| #endif // defined(MIN_BOUND) |
| #if defined(MAX_BOUND) |
| res = min(res, (uchar16)MAX_BOUND); |
| #endif // defined(MAX_BOUND) |
| |
| // Store the result |
| vstore16(res, 0, dst.ptr); |
| } |
| #endif // defined(RESULT_OFFSET) && defined(RESULT_MULT_INT) && defined(RESULT_SHIFT) |
| |
| #if defined(RESULT_OFFSET_AFTER_SHIFT) && defined(RESULT_FIXEDPOINT_MULTIPLIER) && defined(RESULT_SHIFT) |
| /** This OpenCL kernel is used to quantize down the int32 accumulator values of GEMMLowp to QASYMM8 |
| * |
| * This kernel takes a final int32 accumulator value (the output of @ref CLGEMMLowpMatrixMultiplyKernel), and processes it to obtain the final QASYMM8 value. |
| * The following computations will be performed by the kernel: |
| * |
| * -# Compute fixed point multiplication between each entry of input by result_fixedpoint_multiplier |
| * -# Add bias to final result if bias tensor is not a nullptr |
| * -# Round to nearest division by a power-of-two using result_shift |
| * -# Add offset to each result |
| * -# Clamp the value between the specified min and max bounds |
| * -# Clamp the resulting int32 values to the [0..255] range and cast to QASYMM8. |
| * |
| * @attention The offset, scalar scale factor and number of bits to shift right of output tensor must be passed at compile time using -DRESULT_OFFSET, -RESULT_MULT_INT and -DRESULT_SHIFT |
| * |
| * @note In case the addition of int32 biases is required, -DADD_BIAS should be passed at compile time |
| * @note In case the clamping of the result is required, the min and max bounds can be passed at compile time using -DMIN_BOUND and -DMAX_BOUND. |
| * These values can be used to implement "rectified linear unit" activation functions |
| * |
| * @param[in] src_ptr Pointer to the source tensor. Supported data type: S32 |
| * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @param[in] biases_ptr Pointer to the biases tensor. Supported data type: same as @p src_ptr |
| * @param[in] biases_stride_x Stride of the biases tensor in X dimension (in bytes) |
| * @param[in] biases_step_x biases_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] biases_offset_first_element_in_bytes The offset of the first element in the biases tensor |
| * @param[out] dst_ptr Pointer to the destination tensor Supported data type: QASYMM8 |
| * @param[in] dst_stride_x Stride of the destination tensor 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 tensor 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 source tensor in Z dimension (in bytes) |
| * @param[in] dst_step_z src_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 tensor |
| */ |
| __kernel void gemmlowp_output_stage_quantize_down_fixedpoint(TENSOR3D_DECLARATION(src), |
| #if defined(ADD_BIAS) |
| VECTOR_DECLARATION(biases), |
| #endif // defined(ADD_BIAS) |
| TENSOR3D_DECLARATION(dst)) |
| { |
| // Compute source and destination addresses |
| Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); |
| Tensor3D dst = CONVERT_TO_TENSOR3D_STRUCT(dst); |
| #if defined(ADD_BIAS) |
| Vector biases = CONVERT_TO_VECTOR_STRUCT(biases); |
| #endif // defined(ADD_BIAS) |
| |
| int16 input_values = vload16(0, (__global int *)src.ptr); |
| |
| #if defined(ADD_BIAS) |
| // Add bias |
| const int16 biases_values = vload16(0, (__global int *)biases.ptr); |
| input_values += (int16)biases_values; |
| #endif // defined(ADD_BIAS) |
| |
| // Multiply by result_mult_int and shift |
| input_values = ASYMM_MULT_BY_QUANT_MULTIPLIER_LESS_THAN_ONE(input_values, RESULT_FIXEDPOINT_MULTIPLIER, RESULT_SHIFT, 16); |
| |
| // Add the offset terms to GEMM's result |
| input_values += (int16)RESULT_OFFSET_AFTER_SHIFT; |
| |
| uchar16 res = convert_uchar16_sat(input_values); |
| |
| #if defined(MIN_BOUND) |
| res = max(res, (uchar16)MIN_BOUND); |
| #endif // defined(MIN_BOUND) |
| #if defined(MAX_BOUND) |
| res = min(res, (uchar16)MAX_BOUND); |
| #endif // defined(MAX_BOUND) |
| |
| // Store the result |
| vstore16(res, 0, dst.ptr); |
| } |
| #endif // defined(RESULT_OFFSET_AFTER_SHIFT) && defined(RESULT_FIXEDPOINT_MULTIPLIER) && defined(RESULT_SHIFT) |