| /* |
| * 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" |
| |
| #ifdef FIXED_POINT_POSITION |
| #include "fixed_point.h" |
| #endif // FIXED_POINT_POSITION |
| |
| #if defined(TRANSPOSE_W) && defined(MULT_TRANSPOSE1XW_WIDTH) |
| |
| #if ELEMENT_SIZE == 1 |
| #define DATA_TYPE uchar |
| #elif ELEMENT_SIZE == 2 |
| #define DATA_TYPE ushort |
| #elif ELEMENT_SIZE == 4 |
| #define DATA_TYPE uint |
| #else // ELEMENT_SIZE == 1 |
| #error "Element size not supported" |
| #endif // ELEMENT_SIZE |
| |
| /** This OpenCL kernel computes the "vector" 1xW transposition of input matrix |
| * |
| * @note The transposition width must be passed at compile time using -DTRANSPOSE_W (i.e. -DTRANSPOSE_W) |
| * @note The multiplication factor for the transposition width (mult_transpose1xW_width) must be passed at compile time using -DMULT_TRANSPOSE1XW_WIDTH (i.e. -DMULT_TRANSPOSE1XW_WIDTH=2) |
| * |
| * @param[in] src_ptr Pointer to the source matrix. Supported data types: U8/S8/QS8/QASYMM8/U16/S16/QS16/F16/U32/S32/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 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 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_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination matrix in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination matrix |
| */ |
| __kernel void gemm_transpose1xW(TENSOR3D_DECLARATION(src), |
| TENSOR3D_DECLARATION(dst)) |
| { |
| uint x = get_global_id(0); |
| uint y = get_global_id(1); |
| uint z = get_global_id(2); |
| |
| // Compute address for Matrix B - source |
| Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); |
| |
| // Compute address for Matrix B transposed - destination. X and Y are swapped |
| uint dst_addr_in_bytes = dst_offset_first_element_in_bytes + y * TRANSPOSE_W * sizeof(DATA_TYPE) * MULT_TRANSPOSE1XW_WIDTH + (x / MULT_TRANSPOSE1XW_WIDTH) * dst_stride_y + |
| (x % MULT_TRANSPOSE1XW_WIDTH) * TRANSPOSE_W * sizeof(DATA_TYPE); |
| |
| // Add offset for batched GEMM |
| dst_addr_in_bytes += z * dst_stride_z; |
| |
| VEC_DATA_TYPE(DATA_TYPE, TRANSPOSE_W) |
| b0 = VLOAD(TRANSPOSE_W)(0, (__global DATA_TYPE *)src.ptr); |
| |
| VSTORE(TRANSPOSE_W) |
| (b0, 0, (__global DATA_TYPE *)(dst_ptr + dst_addr_in_bytes)); |
| } |
| #endif // defined(TRANSPOSE_W) && defined(MULT_TRANSPOSE1XW_WIDTH) |
| |
| #if defined(MULT_INTERLEAVE4X4_HEIGHT) && defined(DATA_TYPE) |
| |
| /** This OpenCL kernel reshapes the input matrix transposing each 4x4 block and interleaving the values |
| * |
| * @note The data type must be passed at compile time using -DDATA_TYPE (i.e. -DDATA_TYPE=float) |
| * @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] src_ptr Pointer to the source matrix. Supported data types: U8/S8/QS8/QASYMM8/U16/S16/QS16/F16/U32/S32/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 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 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_interleave4x4(TENSOR3D_DECLARATION(src), |
| TENSOR3D_DECLARATION(dst)) |
| { |
| // Compute source and destination addresses |
| uint x = get_global_id(0); |
| uint y = get_global_id(1); |
| uint z = get_global_id(2); |
| |
| // Compute address for source tensor |
| Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); |
| |
| // Compute address for Matrix B transposed - destination. X and Y are swapped |
| uint dst_addr_in_bytes = dst_offset_first_element_in_bytes + x * sizeof(DATA_TYPE) * 16 * MULT_INTERLEAVE4X4_HEIGHT + (y / MULT_INTERLEAVE4X4_HEIGHT) * dst_stride_y + |
| (y % MULT_INTERLEAVE4X4_HEIGHT) * 4 * sizeof(DATA_TYPE); |
| |
| // Add offset for batched GEMM |
| dst_addr_in_bytes += z * dst_stride_z; |
| |
| __global uchar *input_ptr = src.ptr; |
| |
| // Load values from Matrix A |
| VEC_DATA_TYPE(DATA_TYPE, 4) |
| a0 = vload4(0, (__global DATA_TYPE *)(input_ptr + 0 * src_stride_y)); |
| VEC_DATA_TYPE(DATA_TYPE, 4) |
| a1 = vload4(0, (__global DATA_TYPE *)(input_ptr + 1 * src_stride_y)); |
| VEC_DATA_TYPE(DATA_TYPE, 4) |
| a2 = vload4(0, (__global DATA_TYPE *)(input_ptr + 2 * src_stride_y)); |
| VEC_DATA_TYPE(DATA_TYPE, 4) |
| a3 = vload4(0, (__global DATA_TYPE *)(input_ptr + 3 * src_stride_y)); |
| |
| VEC_DATA_TYPE(DATA_TYPE, 4) |
| val0 = (VEC_DATA_TYPE(DATA_TYPE, 4))(a0.s0, a1.s0, a2.s0, a3.s0); |
| vstore4(val0, 0, ((__global DATA_TYPE *)(dst_ptr + dst_addr_in_bytes) + 0 * MULT_INTERLEAVE4X4_HEIGHT)); |
| |
| val0 = (VEC_DATA_TYPE(DATA_TYPE, 4))(a0.s1, a1.s1, a2.s1, a3.s1); |
| vstore4(val0, 0, ((__global DATA_TYPE *)(dst_ptr + dst_addr_in_bytes) + 4 * MULT_INTERLEAVE4X4_HEIGHT)); |
| |
| val0 = (VEC_DATA_TYPE(DATA_TYPE, 4))(a0.s2, a1.s2, a2.s2, a3.s2); |
| vstore4(val0, 0, ((__global DATA_TYPE *)(dst_ptr + dst_addr_in_bytes) + 8 * MULT_INTERLEAVE4X4_HEIGHT)); |
| |
| val0 = (VEC_DATA_TYPE(DATA_TYPE, 4))(a0.s3, a1.s3, a2.s3, a3.s3); |
| vstore4(val0, 0, ((__global DATA_TYPE *)(dst_ptr + dst_addr_in_bytes) + 12 * MULT_INTERLEAVE4X4_HEIGHT)); |
| } |
| #endif // defined(MULT_INTERLEAVE4X4_HEIGHT) && defined(DATA_TYPE) |
| |
| #if defined(COLS_B) && defined(MULT_TRANSPOSE1XW_WIDTH) && defined(MULT_INTERLEAVE4X4_HEIGHT) |
| /** This OpenCL kernel is optimised for Midgard. It computes the matrix multiplication between matrix A (src0) and matrix B (src1) |
| * Matrix A and matrix B must be reshaped respectively with @ref gemm_interleave4x4_32bit and @ref gemm_transpose1x4 before running the matrix multiplication |
| * |
| * @note The number of columns of matrix B and the optional alpha's value need to be passed at compile time using -DCOLS_B and -DALPHA |
| * @note The multiplication factor for the transposition width (mult_transpose1xW_width) must be passed at compile time using -DMULT_TRANSPOSE1XW_WIDTH (i.e. -DMULT_TRANSPOSE1XW_WIDTH=2) |
| * @note The multiplication factor for the height of the 4x4 interleaved block must be passed at compile time using -DMULT_INTERLEAVE4X4_HEIGHT (i.e. -DMULT_INTERLEAVE4X4_HEIGHT=2) |
| * |
| * @param[in] src0_ptr Pointer to the source matrix. Supported data types: F32 |
| * @param[in] src0_stride_x Stride of the source matrix in X dimension (in bytes) |
| * @param[in] src0_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src0_stride_y Stride of the source matrix in Y dimension (in bytes) |
| * @param[in] src0_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src0_offset_first_element_in_bytes The offset of the first element in the source matrix |
| * @param[in] src1_ptr Pointer to the source matrix. Supported data types: same as @p src0_ptr |
| * @param[in] src1_stride_x Stride of the source matrix in X dimension (in bytes) |
| * @param[in] src1_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src1_stride_y Stride of the source matrix in Y dimension (in bytes) |
| * @param[in] src1_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src1_offset_first_element_in_bytes The offset of the first element in the source matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data types: same as @p src0_ptr |
| * @param[in] dst_stride_x Stride of the destination matrix in X dimension (in bytes) |
| * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination matrix in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination matrix |
| */ |
| __kernel void gemm_mm_interleaved_transposed_f32_midgard(IMAGE_DECLARATION(src0), |
| IMAGE_DECLARATION(src1), |
| IMAGE_DECLARATION(dst), |
| uint src0_stride_z, |
| uint src1_stride_z, |
| uint dst_stride_z) |
| { |
| int x = get_global_id(0) / MULT_TRANSPOSE1XW_WIDTH; |
| int y = get_global_id(1) / MULT_INTERLEAVE4X4_HEIGHT; |
| int z = get_global_id(2); |
| |
| // Offset |
| const int offset_row_a = (get_global_id(1) % MULT_INTERLEAVE4X4_HEIGHT) * 4; |
| const int offset_row_b = (get_global_id(0) % MULT_TRANSPOSE1XW_WIDTH) * 4; |
| |
| // src_addr_a = address of matrix A |
| // src_addr_b = address of matrix B |
| __global float *src_addr_a = (__global float *)(src0_ptr + z * src0_stride_z + y * src0_stride_y + src0_offset_first_element_in_bytes); |
| __global float *src_addr_b = (__global float *)(src1_ptr + z * src1_stride_z + x * src1_stride_y + src1_offset_first_element_in_bytes); |
| |
| // Compute end row address for matrix B |
| __global float *src_end_addr_b = src_addr_b + COLS_B; |
| |
| src_addr_a += offset_row_a; |
| src_addr_b += offset_row_b; |
| |
| // Reset accumulators |
| float4 c00 = 0.0f; |
| float4 c10 = 0.0f; |
| float4 c20 = 0.0f; |
| float4 c30 = 0.0f; |
| |
| for(; src_addr_b <= (src_end_addr_b - (int)(8 * MULT_TRANSPOSE1XW_WIDTH)); src_addr_a += 8 * MULT_INTERLEAVE4X4_HEIGHT, src_addr_b += 8 * MULT_TRANSPOSE1XW_WIDTH) |
| { |
| // Load values from matrix A (interleaved) and matrix B (transposed) |
| float4 a0 = vload4(0, src_addr_a); |
| float4 b0 = vload4(0, src_addr_b); |
| |
| c00 += (float4)a0.s0 * b0; |
| c10 += (float4)a0.s1 * b0; |
| c20 += (float4)a0.s2 * b0; |
| c30 += (float4)a0.s3 * b0; |
| |
| // Load values from matrix A (interleaved) and matrix B (transposed) |
| a0 = vload4(0, src_addr_a + 4 * MULT_INTERLEAVE4X4_HEIGHT); |
| b0 = vload4(0, src_addr_b + 4 * MULT_TRANSPOSE1XW_WIDTH); |
| |
| c00 += (float4)a0.s0 * b0; |
| c10 += (float4)a0.s1 * b0; |
| c20 += (float4)a0.s2 * b0; |
| c30 += (float4)a0.s3 * b0; |
| } |
| |
| for(; src_addr_b < src_end_addr_b; src_addr_a += 4 * MULT_INTERLEAVE4X4_HEIGHT, src_addr_b += 4 * MULT_TRANSPOSE1XW_WIDTH) |
| { |
| // Load values from matrix A (interleaved) and matrix B (transposed) |
| float4 a0 = vload4(0, src_addr_a); |
| float4 b0 = vload4(0, src_addr_b); |
| |
| c00 += (float4)a0.s0 * b0; |
| c10 += (float4)a0.s1 * b0; |
| c20 += (float4)a0.s2 * b0; |
| c30 += (float4)a0.s3 * b0; |
| } |
| |
| // Compute destination address |
| Image dst = CONVERT_TO_IMAGE_STRUCT(dst); |
| |
| #if defined(ALPHA) |
| // Multiply by the weight of matrix product |
| c00 = c00 * (float4)ALPHA; |
| c10 = c10 * (float4)ALPHA; |
| c20 = c20 * (float4)ALPHA; |
| c30 = c30 * (float4)ALPHA; |
| #endif // defined(ALPHA) |
| |
| // Compute dst address |
| __global uchar *dst_addr = offset(&dst, 0, 0); |
| |
| // Add offset for batched GEMM |
| dst_addr += z * dst_stride_z; |
| |
| // Store 4x4 block |
| vstore4(c00, 0, (__global float *)(dst_addr + 0 * dst_stride_y)); |
| vstore4(c10, 0, (__global float *)(dst_addr + 1 * dst_stride_y)); |
| vstore4(c20, 0, (__global float *)(dst_addr + 2 * dst_stride_y)); |
| vstore4(c30, 0, (__global float *)(dst_addr + 3 * dst_stride_y)); |
| } |
| |
| /** This OpenCL kernel is optimized for Bifrost. It computes the matrix multiplication between matrix A (src0) and matrix B (src1) |
| * Matrix A and matrix B must be reshaped respectively with @ref gemm_interleave4x4_32bit and @ref gemm_transpose1x4 before running the matrix multiplication |
| * |
| * @note The number of columns of matrix B and the optional alpha's value need to be passed at compile time using -DCOLS_B and -DALPHA |
| * @note The multiplication factor for the transposition width (mult_transpose1xW_width) must be passed at compile time using -DMULT_TRANSPOSE1XW_WIDTH (i.e. -DMULT_TRANSPOSE1XW_WIDTH=2) |
| * @note The multiplication factor for the height of the 4x4 interleaved block must be passed at compile time using -DMULT_INTERLEAVE4X4_HEIGHT (i.e. -DMULT_INTERLEAVE4X4_HEIGHT=2) |
| * |
| * @param[in] src0_ptr Pointer to the source matrix. Supported data types: F32 |
| * @param[in] src0_stride_x Stride of the source matrix in X dimension (in bytes) |
| * @param[in] src0_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src0_stride_y Stride of the source matrix in Y dimension (in bytes) |
| * @param[in] src0_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src0_offset_first_element_in_bytes The offset of the first element in the source matrix |
| * @param[in] src1_ptr Pointer to the source matrix. Supported data types: same as @p src0_ptr |
| * @param[in] src1_stride_x Stride of the source matrix in X dimension (in bytes) |
| * @param[in] src1_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src1_stride_y Stride of the source matrix in Y dimension (in bytes) |
| * @param[in] src1_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src1_offset_first_element_in_bytes The offset of the first element in the source matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data types: same as @p src0_ptr |
| * @param[in] dst_stride_x Stride of the destination matrix in X dimension (in bytes) |
| * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination matrix in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination matrix |
| */ |
| __kernel void gemm_mm_interleaved_transposed_f32_bifrost(IMAGE_DECLARATION(src0), |
| IMAGE_DECLARATION(src1), |
| IMAGE_DECLARATION(dst), |
| uint src0_stride_z, |
| uint src1_stride_z, |
| uint dst_stride_z) |
| { |
| int x = get_global_id(0) / MULT_TRANSPOSE1XW_WIDTH; |
| int y = get_global_id(1) / MULT_INTERLEAVE4X4_HEIGHT; |
| int z = get_global_id(2); |
| |
| // Offset |
| const int offset_row_a = (get_global_id(1) % MULT_INTERLEAVE4X4_HEIGHT) * 4; |
| const int offset_row_b = (get_global_id(0) % MULT_TRANSPOSE1XW_WIDTH) * 4; |
| |
| // src_addr_a = address of matrix A |
| // src_addr_b = address of matrix B |
| __global float *src_addr_a = (__global float *)(src0_ptr + z * src0_stride_z + y * src0_stride_y + src0_offset_first_element_in_bytes); |
| __global float *src_addr_b = (__global float *)(src1_ptr + z * src1_stride_z + x * src1_stride_y + src1_offset_first_element_in_bytes); |
| |
| // Compute end row address for matrix B |
| __global float *src_end_addr_b = src_addr_b + COLS_B; |
| |
| src_addr_a += offset_row_a; |
| src_addr_b += offset_row_b; |
| |
| // Reset accumulators |
| float c00 = 0.0f; |
| float c01 = 0.0f; |
| float c02 = 0.0f; |
| float c03 = 0.0f; |
| float c10 = 0.0f; |
| float c11 = 0.0f; |
| float c12 = 0.0f; |
| float c13 = 0.0f; |
| float c20 = 0.0f; |
| float c21 = 0.0f; |
| float c22 = 0.0f; |
| float c23 = 0.0f; |
| float c30 = 0.0f; |
| float c31 = 0.0f; |
| float c32 = 0.0f; |
| float c33 = 0.0f; |
| |
| for(; src_addr_b <= (src_end_addr_b - (int)(16 * MULT_TRANSPOSE1XW_WIDTH)); src_addr_a += (16 * MULT_INTERLEAVE4X4_HEIGHT), src_addr_b += (16 * MULT_TRANSPOSE1XW_WIDTH)) |
| { |
| // Load values from matrix A (interleaved) and matrix B (transposed) |
| float4 a0 = vload4(0, src_addr_a); |
| float4 b0 = vload4(0, src_addr_b); |
| |
| c00 = fma(a0.s0, b0.s0, c00); |
| c01 = fma(a0.s0, b0.s1, c01); |
| c02 = fma(a0.s0, b0.s2, c02); |
| c03 = fma(a0.s0, b0.s3, c03); |
| |
| c10 = fma(a0.s1, b0.s0, c10); |
| c11 = fma(a0.s1, b0.s1, c11); |
| c12 = fma(a0.s1, b0.s2, c12); |
| c13 = fma(a0.s1, b0.s3, c13); |
| |
| c20 = fma(a0.s2, b0.s0, c20); |
| c21 = fma(a0.s2, b0.s1, c21); |
| c22 = fma(a0.s2, b0.s2, c22); |
| c23 = fma(a0.s2, b0.s3, c23); |
| |
| c30 = fma(a0.s3, b0.s0, c30); |
| c31 = fma(a0.s3, b0.s1, c31); |
| c32 = fma(a0.s3, b0.s2, c32); |
| c33 = fma(a0.s3, b0.s3, c33); |
| |
| // Load values from matrix A (interleaved) and matrix B (transposed) |
| a0 = vload4(0, src_addr_a + 4 * MULT_INTERLEAVE4X4_HEIGHT); |
| b0 = vload4(0, src_addr_b + 4 * MULT_TRANSPOSE1XW_WIDTH); |
| |
| c00 = fma(a0.s0, b0.s0, c00); |
| c01 = fma(a0.s0, b0.s1, c01); |
| c02 = fma(a0.s0, b0.s2, c02); |
| c03 = fma(a0.s0, b0.s3, c03); |
| |
| c10 = fma(a0.s1, b0.s0, c10); |
| c11 = fma(a0.s1, b0.s1, c11); |
| c12 = fma(a0.s1, b0.s2, c12); |
| c13 = fma(a0.s1, b0.s3, c13); |
| |
| c20 = fma(a0.s2, b0.s0, c20); |
| c21 = fma(a0.s2, b0.s1, c21); |
| c22 = fma(a0.s2, b0.s2, c22); |
| c23 = fma(a0.s2, b0.s3, c23); |
| |
| c30 = fma(a0.s3, b0.s0, c30); |
| c31 = fma(a0.s3, b0.s1, c31); |
| c32 = fma(a0.s3, b0.s2, c32); |
| c33 = fma(a0.s3, b0.s3, c33); |
| |
| // Load values from matrix A (interleaved) and matrix B (transposed) |
| a0 = vload4(0, src_addr_a + 8 * MULT_INTERLEAVE4X4_HEIGHT); |
| b0 = vload4(0, src_addr_b + 8 * MULT_TRANSPOSE1XW_WIDTH); |
| |
| c00 = fma(a0.s0, b0.s0, c00); |
| c01 = fma(a0.s0, b0.s1, c01); |
| c02 = fma(a0.s0, b0.s2, c02); |
| c03 = fma(a0.s0, b0.s3, c03); |
| |
| c10 = fma(a0.s1, b0.s0, c10); |
| c11 = fma(a0.s1, b0.s1, c11); |
| c12 = fma(a0.s1, b0.s2, c12); |
| c13 = fma(a0.s1, b0.s3, c13); |
| |
| c20 = fma(a0.s2, b0.s0, c20); |
| c21 = fma(a0.s2, b0.s1, c21); |
| c22 = fma(a0.s2, b0.s2, c22); |
| c23 = fma(a0.s2, b0.s3, c23); |
| |
| c30 = fma(a0.s3, b0.s0, c30); |
| c31 = fma(a0.s3, b0.s1, c31); |
| c32 = fma(a0.s3, b0.s2, c32); |
| c33 = fma(a0.s3, b0.s3, c33); |
| |
| // Load values from matrix A (interleaved) and matrix B (transposed) |
| a0 = vload4(0, src_addr_a + 12 * MULT_INTERLEAVE4X4_HEIGHT); |
| b0 = vload4(0, src_addr_b + 12 * MULT_TRANSPOSE1XW_WIDTH); |
| |
| c00 = fma(a0.s0, b0.s0, c00); |
| c01 = fma(a0.s0, b0.s1, c01); |
| c02 = fma(a0.s0, b0.s2, c02); |
| c03 = fma(a0.s0, b0.s3, c03); |
| |
| c10 = fma(a0.s1, b0.s0, c10); |
| c11 = fma(a0.s1, b0.s1, c11); |
| c12 = fma(a0.s1, b0.s2, c12); |
| c13 = fma(a0.s1, b0.s3, c13); |
| |
| c20 = fma(a0.s2, b0.s0, c20); |
| c21 = fma(a0.s2, b0.s1, c21); |
| c22 = fma(a0.s2, b0.s2, c22); |
| c23 = fma(a0.s2, b0.s3, c23); |
| |
| c30 = fma(a0.s3, b0.s0, c30); |
| c31 = fma(a0.s3, b0.s1, c31); |
| c32 = fma(a0.s3, b0.s2, c32); |
| c33 = fma(a0.s3, b0.s3, c33); |
| } |
| |
| for(; src_addr_b < src_end_addr_b; src_addr_a += (4 * MULT_INTERLEAVE4X4_HEIGHT), src_addr_b += (4 * MULT_TRANSPOSE1XW_WIDTH)) |
| { |
| // Load values from matrix A (interleaved) and matrix B (transposed) |
| float4 a0 = vload4(0, src_addr_a); |
| float4 b0 = vload4(0, src_addr_b); |
| |
| c00 = fma(a0.s0, b0.s0, c00); |
| c01 = fma(a0.s0, b0.s1, c01); |
| c02 = fma(a0.s0, b0.s2, c02); |
| c03 = fma(a0.s0, b0.s3, c03); |
| |
| c10 = fma(a0.s1, b0.s0, c10); |
| c11 = fma(a0.s1, b0.s1, c11); |
| c12 = fma(a0.s1, b0.s2, c12); |
| c13 = fma(a0.s1, b0.s3, c13); |
| |
| c20 = fma(a0.s2, b0.s0, c20); |
| c21 = fma(a0.s2, b0.s1, c21); |
| c22 = fma(a0.s2, b0.s2, c22); |
| c23 = fma(a0.s2, b0.s3, c23); |
| |
| c30 = fma(a0.s3, b0.s0, c30); |
| c31 = fma(a0.s3, b0.s1, c31); |
| c32 = fma(a0.s3, b0.s2, c32); |
| c33 = fma(a0.s3, b0.s3, c33); |
| } |
| |
| // Compute destination address |
| Image dst = CONVERT_TO_IMAGE_STRUCT(dst); |
| |
| #if defined(ALPHA) |
| // Multiply by the weight of matrix product |
| c00 = c00 * ALPHA; |
| c01 = c01 * ALPHA; |
| c02 = c02 * ALPHA; |
| c03 = c03 * ALPHA; |
| c10 = c10 * ALPHA; |
| c11 = c11 * ALPHA; |
| c12 = c12 * ALPHA; |
| c13 = c13 * ALPHA; |
| c20 = c20 * ALPHA; |
| c21 = c21 * ALPHA; |
| c22 = c22 * ALPHA; |
| c23 = c23 * ALPHA; |
| c30 = c30 * ALPHA; |
| c31 = c31 * ALPHA; |
| c32 = c32 * ALPHA; |
| c33 = c33 * ALPHA; |
| #endif // defined(ALPHA) |
| |
| // Compute dst address |
| __global uchar *dst_addr = offset(&dst, 0, 0); |
| |
| // Add offset for batched GEMM |
| dst_addr += z * dst_stride_z; |
| |
| // Store 4x4 block |
| vstore4((float4)(c00, c01, c02, c03), 0, (__global float *)(dst_addr + 0 * dst_stride_y)); |
| vstore4((float4)(c10, c11, c12, c13), 0, (__global float *)(dst_addr + 1 * dst_stride_y)); |
| vstore4((float4)(c20, c21, c22, c23), 0, (__global float *)(dst_addr + 2 * dst_stride_y)); |
| vstore4((float4)(c30, c31, c32, c33), 0, (__global float *)(dst_addr + 3 * dst_stride_y)); |
| } |
| |
| #if defined(ARM_COMPUTE_OPENCL_FP16_ENABLED) |
| /** 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 gemm_interleave4x4_16bit and @ref gemm_transpose1x8 before running the matrix multiplication |
| * |
| * @note The number of columns of matrix B and the optional alpha's value need to be passed at compile time using -DCOLS_B and -DALPHA |
| * @note The multiplication factor for the transposition width (mult_transpose1xW_width) must be passed at compile time using -DMULT_TRANSPOSE1XW_WIDTH (i.e. -DMULT_TRANSPOSE1XW_WIDTH=2) |
| * @note The multiplication factor for the height of the 4x4 interleaved block must be passed at compile time using -DMULT_INTERLEAVE4X4_HEIGHT (i.e. -DMULT_INTERLEAVE4X4_HEIGHT=2) |
| * |
| * @param[in] src0_ptr Pointer to the source matrix. Supported data types: F16 |
| * @param[in] src0_stride_x Stride of the source matrix in X dimension (in bytes) |
| * @param[in] src0_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src0_stride_y Stride of the source matrix in Y dimension (in bytes) |
| * @param[in] src0_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src0_offset_first_element_in_bytes The offset of the first element in the source matrix |
| * @param[in] src1_ptr Pointer to the source matrix. Supported data types: same as @p src0_ptr |
| * @param[in] src1_stride_x Stride of the source matrix in X dimension (in bytes) |
| * @param[in] src1_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src1_stride_y Stride of the source matrix in Y dimension (in bytes) |
| * @param[in] src1_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src1_offset_first_element_in_bytes The offset of the first element in the source matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data types: same as @p src0_ptr |
| * @param[in] dst_stride_x Stride of the destination matrix in X dimension (in bytes) |
| * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination matrix in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination matrix |
| */ |
| __kernel void gemm_mm_interleaved_transposed_f16(IMAGE_DECLARATION(src0), |
| IMAGE_DECLARATION(src1), |
| IMAGE_DECLARATION(dst), |
| uint src0_stride_z, |
| uint src1_stride_z, |
| uint dst_stride_z) |
| { |
| int x = get_global_id(0) / MULT_TRANSPOSE1XW_WIDTH; |
| int y = get_global_id(1) / MULT_INTERLEAVE4X4_HEIGHT; |
| int z = get_global_id(2); |
| |
| // Offset |
| const int offset_row_a = (get_global_id(1) % MULT_INTERLEAVE4X4_HEIGHT) * 4; |
| const int offset_row_b = (get_global_id(0) % MULT_TRANSPOSE1XW_WIDTH) * 8; |
| |
| // src_addr_a = address of matrix A |
| // src_addr_b = address of matrix B |
| __global half *src_addr_a = (__global half *)(src0_ptr + z * src0_stride_z + y * src0_stride_y + src0_offset_first_element_in_bytes); |
| __global half *src_addr_b = (__global half *)(src1_ptr + z * src1_stride_z + x * src1_stride_y + src1_offset_first_element_in_bytes); |
| |
| // Compute end row address for matrix B |
| __global half *src_end_addr_b = src_addr_b + COLS_B; |
| |
| src_addr_a += offset_row_a; |
| src_addr_b += offset_row_b; |
| |
| // Reset accumulators |
| half8 c00 = 0.0f; |
| half8 c10 = 0.0f; |
| half8 c20 = 0.0f; |
| half8 c30 = 0.0f; |
| |
| for(; src_addr_b <= (src_end_addr_b - (int)(16 * MULT_TRANSPOSE1XW_WIDTH)); src_addr_a += 8 * MULT_INTERLEAVE4X4_HEIGHT, src_addr_b += 16 * MULT_TRANSPOSE1XW_WIDTH) |
| { |
| // Load values from matrix A (interleaved) and matrix B (transposed) |
| half4 a0 = vload4(0, src_addr_a); |
| half8 b0 = vload8(0, src_addr_b); |
| |
| c00 += (half8)a0.s0 * b0; |
| c10 += (half8)a0.s1 * b0; |
| c20 += (half8)a0.s2 * b0; |
| c30 += (half8)a0.s3 * b0; |
| |
| // Load values from matrix A (interleaved) and matrix B (transposed) |
| a0 = vload4(0, src_addr_a + 4 * MULT_INTERLEAVE4X4_HEIGHT); |
| b0 = vload8(0, src_addr_b + 8 * MULT_TRANSPOSE1XW_WIDTH); |
| |
| c00 += (half8)a0.s0 * b0; |
| c10 += (half8)a0.s1 * b0; |
| c20 += (half8)a0.s2 * b0; |
| c30 += (half8)a0.s3 * b0; |
| } |
| |
| for(; src_addr_b < src_end_addr_b; src_addr_a += 4 * MULT_INTERLEAVE4X4_HEIGHT, src_addr_b += 8 * MULT_TRANSPOSE1XW_WIDTH) |
| { |
| // Load values from matrix A (interleaved) and matrix B (transposed) |
| half4 a0 = vload4(0, src_addr_a); |
| half8 b0 = vload8(0, src_addr_b); |
| |
| c00 += (half8)a0.s0 * b0; |
| c10 += (half8)a0.s1 * b0; |
| c20 += (half8)a0.s2 * b0; |
| c30 += (half8)a0.s3 * b0; |
| } |
| |
| // Compute destination address |
| Image dst = CONVERT_TO_IMAGE_STRUCT(dst); |
| |
| #if defined(ALPHA) |
| // Multiply by the weight of matrix product |
| c00 = c00 * (half8)ALPHA; |
| c10 = c10 * (half8)ALPHA; |
| c20 = c20 * (half8)ALPHA; |
| c30 = c30 * (half8)ALPHA; |
| #endif // defined(ALPHA) |
| |
| // Compute dst address |
| __global uchar *dst_addr = offset(&dst, 0, 0); |
| |
| // Add offset for batched GEMM |
| dst_addr += z * dst_stride_z; |
| |
| // Store 4x8 block |
| vstore8(c00, 0, (__global half *)(dst_addr + 0 * dst_stride_y)); |
| vstore8(c10, 0, (__global half *)(dst_addr + 1 * dst_stride_y)); |
| vstore8(c20, 0, (__global half *)(dst_addr + 2 * dst_stride_y)); |
| vstore8(c30, 0, (__global half *)(dst_addr + 3 * dst_stride_y)); |
| } |
| #endif // defined(ARM_COMPUTE_OPENCL_FP16_ENABLED) |
| |
| #if defined(FIXED_POINT_POSITION) |
| /** This OpenCL kernel computes the matrix multiplication between matrix A (src0) and matrix B (src1) in 8 bit fixed point precision |
| * Matrix A and matrix B must be reshaped respectively with @ref gemm_interleave4x4_8bit and @ref gemm_transpose1x16 before running the matrix multiplication |
| * |
| * @note The number of columns of matrix B and the optional alpha's value need to be passed at compile time using -DCOLS_B and -DALPHA |
| * @note The multiplication factor for the transposition width (mult_transpose1xW_width) must be passed at compile time using -DMULT_TRANSPOSE1XW_WIDTH (i.e. -DMULT_TRANSPOSE1XW_WIDTH=2) |
| * @note The multiplication factor for the height of the 4x4 interleaved block must be passed at compile time using -DMULT_INTERLEAVE4X4_HEIGHT (i.e. -DMULT_INTERLEAVE4X4_HEIGHT=2) |
| * |
| * @note: ALPHA must be passed in 8 bit fixed point format |
| * |
| * @param[in] src0_ptr Pointer to the source matrix. Supported data types: QS8 |
| * @param[in] src0_stride_x Stride of the source matrix in X dimension (in bytes) |
| * @param[in] src0_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src0_stride_y Stride of the source matrix in Y dimension (in bytes) |
| * @param[in] src0_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src0_offset_first_element_in_bytes The offset of the first element in the source matrix |
| * @param[in] src1_ptr Pointer to the source matrix. Supported data types: same as @p src0_ptr |
| * @param[in] src1_stride_x Stride of the source matrix in X dimension (in bytes) |
| * @param[in] src1_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src1_stride_y Stride of the source matrix in Y dimension (in bytes) |
| * @param[in] src1_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src1_offset_first_element_in_bytes The offset of the first element in the source matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data types: same as @p src0_ptr |
| * @param[in] dst_stride_x Stride of the destination matrix in X dimension (in bytes) |
| * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination matrix in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination matrix |
| */ |
| __kernel void gemm_mm_interleaved_transposed_qs8(IMAGE_DECLARATION(src0), |
| IMAGE_DECLARATION(src1), |
| IMAGE_DECLARATION(dst), |
| uint src0_stride_z, |
| uint src1_stride_z, |
| uint dst_stride_z) |
| { |
| int x = get_global_id(0) / MULT_TRANSPOSE1XW_WIDTH; |
| int y = get_global_id(1) / MULT_INTERLEAVE4X4_HEIGHT; |
| int z = get_global_id(2); |
| |
| // Offset |
| const int offset_row_a = (get_global_id(1) % MULT_INTERLEAVE4X4_HEIGHT) * 4; |
| const int offset_row_b = (get_global_id(0) % MULT_TRANSPOSE1XW_WIDTH) * 16; |
| |
| // src_addr_a = address of matrix A |
| // src_addr_b = address of matrix B |
| __global char *src_addr_a = src0_ptr + z * src0_stride_z + y * src0_stride_y + src0_offset_first_element_in_bytes; |
| __global char *src_addr_b = src1_ptr + z * src1_stride_z + x * src1_stride_y + src1_offset_first_element_in_bytes; |
| |
| // Compute end row address for matrix B |
| __global char *src_end_addr_b = src_addr_b + COLS_B; |
| |
| src_addr_a += offset_row_a; |
| src_addr_b += offset_row_b; |
| |
| // Reset accumulators |
| short8 c00 = 0.0f; |
| short8 c10 = 0.0f; |
| short8 c20 = 0.0f; |
| short8 c30 = 0.0f; |
| short8 c01 = 0.0f; |
| short8 c11 = 0.0f; |
| short8 c21 = 0.0f; |
| short8 c31 = 0.0f; |
| |
| // This for loop performs 1 accumulation for each iteration |
| for(; src_addr_b < src_end_addr_b; src_addr_a += 4 * MULT_INTERLEAVE4X4_HEIGHT, src_addr_b += 16 * MULT_TRANSPOSE1XW_WIDTH) |
| { |
| // Load values from matrix A (interleaved) and matrix B (transposed) |
| char4 a0 = vload4(0, src_addr_a); |
| char16 b0 = vload16(0, src_addr_b); |
| |
| c00 = mlal_sat_qs8x8(c00, (char8)a0.s0, b0.s01234567, FIXED_POINT_POSITION); |
| c10 = mlal_sat_qs8x8(c10, (char8)a0.s1, b0.s01234567, FIXED_POINT_POSITION); |
| c20 = mlal_sat_qs8x8(c20, (char8)a0.s2, b0.s01234567, FIXED_POINT_POSITION); |
| c30 = mlal_sat_qs8x8(c30, (char8)a0.s3, b0.s01234567, FIXED_POINT_POSITION); |
| |
| c01 = mlal_sat_qs8x8(c01, (char8)a0.s0, b0.s89ABCDEF, FIXED_POINT_POSITION); |
| c11 = mlal_sat_qs8x8(c11, (char8)a0.s1, b0.s89ABCDEF, FIXED_POINT_POSITION); |
| c21 = mlal_sat_qs8x8(c21, (char8)a0.s2, b0.s89ABCDEF, FIXED_POINT_POSITION); |
| c31 = mlal_sat_qs8x8(c31, (char8)a0.s3, b0.s89ABCDEF, FIXED_POINT_POSITION); |
| } |
| |
| // Compute destination address |
| Image dst = CONVERT_TO_IMAGE_STRUCT(dst); |
| |
| // Multiply by the weight of matrix product |
| char16 c00_qs8 = convert_char16_sat((short16)(c00, c01)); |
| char16 c10_qs8 = convert_char16_sat((short16)(c10, c11)); |
| char16 c20_qs8 = convert_char16_sat((short16)(c20, c21)); |
| char16 c30_qs8 = convert_char16_sat((short16)(c30, c31)); |
| |
| #if defined(ALPHA) |
| c00_qs8 = mul_sat_qs8x16(c00_qs8, (char16)ALPHA, FIXED_POINT_POSITION); |
| c10_qs8 = mul_sat_qs8x16(c10_qs8, (char16)ALPHA, FIXED_POINT_POSITION); |
| c20_qs8 = mul_sat_qs8x16(c20_qs8, (char16)ALPHA, FIXED_POINT_POSITION); |
| c30_qs8 = mul_sat_qs8x16(c30_qs8, (char16)ALPHA, FIXED_POINT_POSITION); |
| #endif // defined(ALPHA) |
| |
| // Compute dst address |
| __global uchar *dst_addr = offset(&dst, 0, 0); |
| |
| // Add offset for batched GEMM |
| dst_addr += z * dst_stride_z; |
| |
| // Store 16x4 block |
| vstore16(c00_qs8, 0, (__global char *)(dst_addr + 0 * dst_stride_y)); |
| vstore16(c10_qs8, 0, (__global char *)(dst_addr + 1 * dst_stride_y)); |
| vstore16(c20_qs8, 0, (__global char *)(dst_addr + 2 * dst_stride_y)); |
| vstore16(c30_qs8, 0, (__global char *)(dst_addr + 3 * dst_stride_y)); |
| } |
| |
| /** This OpenCL kernel computes the matrix multiplication between matrix A (src0) and matrix B (src1) in 16 bit fixed point precision |
| * Matrix A and matrix B must be reshaped respectively with @ref gemm_interleave4x4_16bit and @ref gemm_transpose1x8 before running the matrix multiplication |
| * |
| * @note The number of columns of matrix B and the optional alpha's value need to be passed at compile time using -DCOLS_B and -DALPHA |
| * @note The multiplication factor for the transposition width (mult_transpose1xW_width) must be passed at compile time using -DMULT_TRANSPOSE1XW_WIDTH (i.e. -DMULT_TRANSPOSE1XW_WIDTH=2) |
| * @note The multiplication factor for the height of the 4x4 interleaved block must be passed at compile time using -DMULT_INTERLEAVE4X4_HEIGHT (i.e. -DMULT_INTERLEAVE4X4_HEIGHT=2) |
| * |
| * @note: ALPHA must be passed in 16 bit fixed point format |
| * |
| * @param[in] src0_ptr Pointer to the source matrix. Supported data types: QS16 |
| * @param[in] src0_stride_x Stride of the source matrix in X dimension (in bytes) |
| * @param[in] src0_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src0_stride_y Stride of the source matrix in Y dimension (in bytes) |
| * @param[in] src0_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src0_offset_first_element_in_bytes The offset of the first element in the source matrix |
| * @param[in] src1_ptr Pointer to the source matrix. Supported data types: same as @p src0_ptr |
| * @param[in] src1_stride_x Stride of the source matrix in X dimension (in bytes) |
| * @param[in] src1_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src1_stride_y Stride of the source matrix in Y dimension (in bytes) |
| * @param[in] src1_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src1_offset_first_element_in_bytes The offset of the first element in the source matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data types: same as @p src0_ptr |
| * @param[in] dst_stride_x Stride of the destination matrix in X dimension (in bytes) |
| * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination matrix in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination matrix |
| */ |
| __kernel void gemm_mm_interleaved_transposed_qs16(IMAGE_DECLARATION(src0), |
| IMAGE_DECLARATION(src1), |
| IMAGE_DECLARATION(dst), |
| uint src0_stride_z, |
| uint src1_stride_z, |
| uint dst_stride_z) |
| { |
| int x = get_global_id(0) / MULT_TRANSPOSE1XW_WIDTH; |
| int y = get_global_id(1) / MULT_INTERLEAVE4X4_HEIGHT; |
| int z = get_global_id(2); |
| |
| // Offset |
| const int offset_row_a = (get_global_id(1) % MULT_INTERLEAVE4X4_HEIGHT) * 4; |
| const int offset_row_b = (get_global_id(0) % MULT_TRANSPOSE1XW_WIDTH) * 8; |
| |
| // src_addr_a = address of matrix A |
| // src_addr_b = address of matrix B |
| __global short *src_addr_a = (__global short *)(src0_ptr + z * src0_stride_z + y * src0_stride_y + src0_offset_first_element_in_bytes); |
| __global short *src_addr_b = (__global short *)(src1_ptr + z * src1_stride_z + x * src1_stride_y + src1_offset_first_element_in_bytes); |
| |
| // Compute end row address for matrix B |
| __global short *src_end_addr_b = src_addr_b + COLS_B; |
| |
| src_addr_a += offset_row_a; |
| src_addr_b += offset_row_b; |
| |
| // Reset accumulators |
| int8 c00 = 0.0f; |
| int8 c10 = 0.0f; |
| int8 c20 = 0.0f; |
| int8 c30 = 0.0f; |
| |
| // This for loop performs 1 accumulation for each iteration |
| for(; src_addr_b < src_end_addr_b; src_addr_a += 4 * MULT_INTERLEAVE4X4_HEIGHT, src_addr_b += 8 * MULT_TRANSPOSE1XW_WIDTH) |
| { |
| /* Load values from matrix A (interleaved) and matrix B (transposed) */ |
| short4 a0 = vload4(0, src_addr_a); |
| short8 b0 = vload8(0, src_addr_b); |
| |
| c00 = mlal_sat_qs16x8(c00, (short8)a0.s0, b0, FIXED_POINT_POSITION); |
| c10 = mlal_sat_qs16x8(c10, (short8)a0.s1, b0, FIXED_POINT_POSITION); |
| c20 = mlal_sat_qs16x8(c20, (short8)a0.s2, b0, FIXED_POINT_POSITION); |
| c30 = mlal_sat_qs16x8(c30, (short8)a0.s3, b0, FIXED_POINT_POSITION); |
| } |
| |
| // Compute destination address |
| Image dst = CONVERT_TO_IMAGE_STRUCT(dst); |
| |
| // Multiply by the weight of matrix product |
| short8 c00_qs16 = convert_short8_sat(c00); |
| short8 c10_qs16 = convert_short8_sat(c10); |
| short8 c20_qs16 = convert_short8_sat(c20); |
| short8 c30_qs16 = convert_short8_sat(c30); |
| |
| #if defined(ALPHA) |
| c00_qs16 = mul_sat_qs16x8(c00_qs16, (short8)ALPHA, FIXED_POINT_POSITION); |
| c10_qs16 = mul_sat_qs16x8(c10_qs16, (short8)ALPHA, FIXED_POINT_POSITION); |
| c20_qs16 = mul_sat_qs16x8(c20_qs16, (short8)ALPHA, FIXED_POINT_POSITION); |
| c30_qs16 = mul_sat_qs16x8(c30_qs16, (short8)ALPHA, FIXED_POINT_POSITION); |
| #endif // defined(ALPHA) |
| |
| // Compute dst address |
| __global uchar *dst_addr = offset(&dst, 0, 0); |
| |
| // Add offset for batched GEMM |
| dst_addr += z * dst_stride_z; |
| |
| // Store 8x4 block |
| vstore8(c00_qs16, 0, (__global short *)(dst_addr + 0 * dst_stride_y)); |
| vstore8(c10_qs16, 0, (__global short *)(dst_addr + 1 * dst_stride_y)); |
| vstore8(c20_qs16, 0, (__global short *)(dst_addr + 2 * dst_stride_y)); |
| vstore8(c30_qs16, 0, (__global short *)(dst_addr + 3 * dst_stride_y)); |
| } |
| #endif // defined(FIXED_POINT_POSITION) |
| #endif // defined(COLS_B) && defined(MULT_TRANSPOSE1XW_WIDTH) && defined(MULT_INTERLEAVE4X4_HEIGHT) |
| |
| #if defined(COLS_A) && defined(NUM_ELEMS_PROCESSED_PER_THREAD_X) && (NUM_ELEMS_PROCESSED_PER_THREAD_Y) |
| #if defined(DATA_TYPE) |
| #define VECTOR_TYPE VEC_DATA_TYPE(DATA_TYPE, NUM_ELEMS_PROCESSED_PER_THREAD_X) |
| /** This OpenCL kernel computes the matrix by matrix multiplication between the matrix A (src0) and matrix B (src1) in case both matrices have not beed reshaped |
| * |
| * @note This OpenCL kernel works with floating point data types (F16/F32) |
| * @note The floating point data type must be passed at compile time using -DDATA_TYPE (e.g. -DDATA_TYPE=float) |
| * @note The number of elements processed along the x and y directions must be passed at compile time using -DNUM_ELEMS_PROCESSED_PER_THREAD_X and -DNUM_ELEMS_PROCESSED_PER_THREAD_Y |
| * @note The number of matrix A columns and the optional alpha's value need to be passed at compile time using -DCOLS_A and -DALPHA |
| * |
| * @param[in] src0_ptr Pointer to the source matrix. Supported data types: F16/F32 |
| * @param[in] src0_stride_x Stride of the source matrix in X dimension (in bytes) |
| * @param[in] src0_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src0_stride_y Stride of the source matrix in Y dimension (in bytes) |
| * @param[in] src0_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src0_offset_first_element_in_bytes The offset of the first element in the source matrix |
| * @param[in] src1_ptr Pointer to the source matrix. Supported data types: same as @p src0_ptr |
| * @param[in] src1_stride_x Stride of the source matrix in X dimension (in bytes) |
| * @param[in] src1_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src1_stride_y Stride of the source matrix in Y dimension (in bytes) |
| * @param[in] src1_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src1_offset_first_element_in_bytes The offset of the first element in the source matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data types: same as @p src0_ptr |
| * @param[in] dst_stride_x Stride of the destination matrix in X dimension (in bytes) |
| * @param[in] dst_step_x dst_gx_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination matrix in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_gx_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination matrix |
| */ |
| __kernel void gemm_mm_floating_point(IMAGE_DECLARATION(src0), |
| IMAGE_DECLARATION(src1), |
| IMAGE_DECLARATION(dst), |
| uint src0_stride_z, |
| uint src1_stride_z, |
| uint dst_stride_z) |
| { |
| int idx = get_global_id(0) * NUM_ELEMS_PROCESSED_PER_THREAD_X; |
| |
| // Compute starting address for matrix A and Matrix B |
| int2 src_addr = ((int2)(src0_offset_first_element_in_bytes, src1_offset_first_element_in_bytes)); |
| |
| // Update address for the matrix A |
| src_addr.s0 += get_global_id(1) * src0_stride_y * NUM_ELEMS_PROCESSED_PER_THREAD_Y; |
| |
| // Update address for the matrix B |
| src_addr.s1 += idx * sizeof(DATA_TYPE); |
| |
| // Add offset for batched GEMM |
| src_addr.s0 += get_global_id(2) * src0_stride_z; |
| src_addr.s1 += get_global_id(2) * src1_stride_z; |
| |
| int end_row_vec_a = src_addr.s0 + (COLS_A * sizeof(DATA_TYPE)); |
| |
| VECTOR_TYPE acc0 = 0.0f; |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| VECTOR_TYPE acc1 = 0.0f; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| VECTOR_TYPE acc2 = 0.0f; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| VECTOR_TYPE acc3 = 0.0f; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| |
| for(; src_addr.s0 <= (end_row_vec_a - 2 * (int)sizeof(DATA_TYPE)); src_addr += (int2)(2 * sizeof(DATA_TYPE), 2 * src1_stride_y)) |
| { |
| // Load values from matrix A |
| VEC_DATA_TYPE(DATA_TYPE, 2) |
| a0 = vload2(0, (__global DATA_TYPE *)(src0_ptr + src_addr.s0 + 0 * src0_stride_y)); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| VEC_DATA_TYPE(DATA_TYPE, 2) |
| a1 = vload2(0, (__global DATA_TYPE *)(src0_ptr + src_addr.s0 + 1 * src0_stride_y)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| VEC_DATA_TYPE(DATA_TYPE, 2) |
| a2 = vload2(0, (__global DATA_TYPE *)(src0_ptr + src_addr.s0 + 2 * src0_stride_y)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| VEC_DATA_TYPE(DATA_TYPE, 2) |
| a3 = vload2(0, (__global DATA_TYPE *)(src0_ptr + src_addr.s0 + 3 * src0_stride_y)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| // Load values from matrix B |
| VECTOR_TYPE b0 = VLOAD(NUM_ELEMS_PROCESSED_PER_THREAD_X)(0, (__global DATA_TYPE *)(src1_ptr + src_addr.s1)); |
| VECTOR_TYPE b1 = VLOAD(NUM_ELEMS_PROCESSED_PER_THREAD_X)(0, (__global DATA_TYPE *)(src1_ptr + src_addr.s1 + src1_stride_y)); |
| |
| // Accumulate |
| acc0 += b0 * (VECTOR_TYPE)a0.s0; |
| acc0 += b1 * (VECTOR_TYPE)a0.s1; |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| acc1 += b0 * (VECTOR_TYPE)a1.s0; |
| acc1 += b1 * (VECTOR_TYPE)a1.s1; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| acc2 += b0 * (VECTOR_TYPE)a2.s0; |
| acc2 += b1 * (VECTOR_TYPE)a2.s1; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| acc3 += b0 * (VECTOR_TYPE)a3.s0; |
| acc3 += b1 * (VECTOR_TYPE)a3.s1; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| } |
| |
| for(; src_addr.s0 < end_row_vec_a; src_addr += (int2)(sizeof(DATA_TYPE), src1_stride_y)) |
| { |
| // Load values from matrix A |
| DATA_TYPE a0 = *((__global DATA_TYPE *)(src0_ptr + src_addr.s0 + 0 * src0_stride_y)); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| DATA_TYPE a1 = *((__global DATA_TYPE *)(src0_ptr + src_addr.s0 + 1 * src0_stride_y)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| DATA_TYPE a2 = *((__global DATA_TYPE *)(src0_ptr + src_addr.s0 + 2 * src0_stride_y)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| DATA_TYPE a3 = *((__global DATA_TYPE *)(src0_ptr + src_addr.s0 + 3 * src0_stride_y)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| // Load values from matrix B |
| VECTOR_TYPE b0 = VLOAD(NUM_ELEMS_PROCESSED_PER_THREAD_X)(0, (__global DATA_TYPE *)(src1_ptr + src_addr.s1)); |
| |
| // Accumulate |
| acc0 += b0 * (VECTOR_TYPE)a0; |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| acc1 += b0 * (VECTOR_TYPE)a1; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| acc2 += b0 * (VECTOR_TYPE)a2; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| acc3 += b0 * (VECTOR_TYPE)a3; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| } |
| |
| // Compute destination address |
| Image dst = CONVERT_TO_IMAGE_STRUCT(dst); |
| |
| // Compute dst address |
| __global uchar *dst_addr = offset(&dst, 0, 0); |
| |
| // Add offset for batched GEMM |
| dst_addr += get_global_id(2) * dst_stride_z; |
| |
| // Multiply by the weight of matrix-matrix product and store the result |
| #if defined(ALPHA) |
| acc0 = acc0 * (VECTOR_TYPE)ALPHA; |
| #endif // defined(ALPHA) |
| VSTORE(NUM_ELEMS_PROCESSED_PER_THREAD_X) |
| (acc0, 0, (__global DATA_TYPE *)(dst_addr + 0 * dst_stride_y)); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if defined(ALPHA) |
| acc1 = acc1 * (VECTOR_TYPE)ALPHA; |
| #endif // defined(ALPHA) |
| VSTORE(NUM_ELEMS_PROCESSED_PER_THREAD_X) |
| (acc1, 0, (__global DATA_TYPE *)(dst_addr + 1 * dst_stride_y)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if defined(ALPHA) |
| acc2 = acc2 * (VECTOR_TYPE)ALPHA; |
| #endif // defined(ALPHA) |
| VSTORE(NUM_ELEMS_PROCESSED_PER_THREAD_X) |
| (acc2, 0, (__global DATA_TYPE *)(dst_addr + 2 * dst_stride_y)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| #if defined(ALPHA) |
| acc3 = acc3 * (VECTOR_TYPE)ALPHA; |
| #endif // defined(ALPHA) |
| VSTORE(NUM_ELEMS_PROCESSED_PER_THREAD_X) |
| (acc3, 0, (__global DATA_TYPE *)(dst_addr + 3 * dst_stride_y)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| } |
| #endif // defined(DATA_TYPE) |
| |
| /** This OpenCL kernel computes the matrix by matrix multiplication between the matrix A (src0) and matrix B (src1) in case both matrices have not beed reshaped |
| * |
| * @note This OpenCL kernel works with the 32-bit floating point data type (float) and uses the fma units. |
| * @note The number of elements processed along the x and y directions must be passed at compile time using -DNUM_ELEMS_PROCESSED_PER_THREAD_X and -DNUM_ELEMS_PROCESSED_PER_THREAD_Y. |
| * This kernel optimally uses -DNUM_ELEMS_PROCESSED_PER_THREAD_X=4. |
| * @note The number of matrix A columns must be passed at compile time using -DCOLS_A. |
| * @note The optional value of scalar alpha is passed at compile time using -DALPHA=alpha |
| * |
| * @param[in] src0_ptr Pointer to the source matrix. Supported data types: F16/F32 |
| * @param[in] src0_stride_x Stride of the source matrix in X dimension (in bytes) |
| * @param[in] src0_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src0_stride_y Stride of the source matrix in Y dimension (in bytes) |
| * @param[in] src0_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src0_offset_first_element_in_bytes The offset of the first element in the source matrix |
| * @param[in] src1_ptr Pointer to the source matrix. Supported data types: same as @p src0_ptr |
| * @param[in] src1_stride_x Stride of the source matrix in X dimension (in bytes) |
| * @param[in] src1_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src1_stride_y Stride of the source matrix in Y dimension (in bytes) |
| * @param[in] src1_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src1_offset_first_element_in_bytes The offset of the first element in the source matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data types: same as @p src0_ptr |
| * @param[in] dst_stride_x Stride of the destination matrix in X dimension (in bytes) |
| * @param[in] dst_step_x dst_gx_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination matrix in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_gx_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination matrix |
| */ |
| __kernel void gemm_mm_floating_point_f32_bifrost(IMAGE_DECLARATION(src0), |
| IMAGE_DECLARATION(src1), |
| IMAGE_DECLARATION(dst), |
| uint src0_stride_z, |
| uint src1_stride_z, |
| uint dst_stride_z) |
| { |
| int idx = get_global_id(0) * NUM_ELEMS_PROCESSED_PER_THREAD_X; |
| |
| // Compute starting address for matrix A and matrix B |
| int2 src_addr = ((int2)(src0_offset_first_element_in_bytes, src1_offset_first_element_in_bytes)); |
| |
| // Update address for matrix A |
| src_addr.s0 += get_global_id(1) * src0_stride_y * NUM_ELEMS_PROCESSED_PER_THREAD_Y; |
| |
| // Update address for matrix B |
| src_addr.s1 += idx * sizeof(float); |
| |
| // Add offset for batched GEMM |
| src_addr.s0 += get_global_id(2) * src0_stride_z; |
| |
| // For convolution layer we do not want to slide the matrix B along Z |
| src_addr.s1 += get_global_id(2) * src1_stride_z; |
| |
| // Address boundary for matrix A |
| int end_row_vec_a = src_addr.s0 + (COLS_A * sizeof(float)); |
| |
| // Initialize accumulators |
| float acc00 = 0.0f; |
| float acc01 = 0.0f; |
| float acc02 = 0.0f; |
| float acc03 = 0.0f; |
| |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| float acc10 = 0.0f; |
| float acc11 = 0.0f; |
| float acc12 = 0.0f; |
| float acc13 = 0.0f; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| float acc20 = 0.0f; |
| float acc21 = 0.0f; |
| float acc22 = 0.0f; |
| float acc23 = 0.0f; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| float acc30 = 0.0f; |
| float acc31 = 0.0f; |
| float acc32 = 0.0f; |
| float acc33 = 0.0f; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| |
| // A and B src indices get incremented at the same time. |
| for(; src_addr.s0 <= (end_row_vec_a - 2 * (int)sizeof(float)); src_addr += (int2)(2 * sizeof(float), 2 * src1_stride_y)) |
| { |
| // Load values from matrix A |
| float2 a0 = vload2(0, (__global float *)(src0_ptr + src_addr.s0 + 0 * src0_stride_y)); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| float2 a1 = vload2(0, (__global float *)(src0_ptr + src_addr.s0 + 1 * src0_stride_y)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| float2 a2 = vload2(0, (__global float *)(src0_ptr + src_addr.s0 + 2 * src0_stride_y)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| float2 a3 = vload2(0, (__global float *)(src0_ptr + src_addr.s0 + 3 * src0_stride_y)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| // Load values from matrix B |
| float4 b0 = vload4(0, (__global float *)(src1_ptr + src_addr.s1 + 0 * src1_stride_y)); |
| float4 b1 = vload4(0, (__global float *)(src1_ptr + src_addr.s1 + 1 * src1_stride_y)); |
| |
| // Multiply and accumulate |
| acc00 = fma(a0.s0, b0.s0, acc00); |
| acc00 = fma(a0.s1, b1.s0, acc00); |
| acc01 = fma(a0.s0, b0.s1, acc01); |
| acc01 = fma(a0.s1, b1.s1, acc01); |
| acc02 = fma(a0.s0, b0.s2, acc02); |
| acc02 = fma(a0.s1, b1.s2, acc02); |
| acc03 = fma(a0.s1, b1.s3, acc03); |
| acc03 = fma(a0.s0, b0.s3, acc03); |
| |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| acc10 = fma(a1.s0, b0.s0, acc10); |
| acc11 = fma(a1.s0, b0.s1, acc11); |
| acc12 = fma(a1.s0, b0.s2, acc12); |
| acc13 = fma(a1.s0, b0.s3, acc13); |
| |
| acc10 = fma(a1.s1, b1.s0, acc10); |
| acc11 = fma(a1.s1, b1.s1, acc11); |
| acc12 = fma(a1.s1, b1.s2, acc12); |
| acc13 = fma(a1.s1, b1.s3, acc13); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| acc20 = fma(a2.s0, b0.s0, acc20); |
| acc21 = fma(a2.s0, b0.s1, acc21); |
| acc22 = fma(a2.s0, b0.s2, acc22); |
| acc23 = fma(a2.s0, b0.s3, acc23); |
| |
| acc20 = fma(a2.s1, b1.s0, acc20); |
| acc21 = fma(a2.s1, b1.s1, acc21); |
| acc22 = fma(a2.s1, b1.s2, acc22); |
| acc23 = fma(a2.s1, b1.s3, acc23); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| acc30 = fma(a3.s0, b0.s0, acc30); |
| acc31 = fma(a3.s0, b0.s1, acc31); |
| acc32 = fma(a3.s0, b0.s2, acc32); |
| acc33 = fma(a3.s0, b0.s3, acc33); |
| |
| acc30 = fma(a3.s1, b1.s0, acc30); |
| acc31 = fma(a3.s1, b1.s1, acc31); |
| acc32 = fma(a3.s1, b1.s2, acc32); |
| acc33 = fma(a3.s1, b1.s3, acc33); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| } |
| |
| for(; src_addr.s0 < end_row_vec_a; src_addr += (int2)(sizeof(float), src1_stride_y)) |
| { |
| // Load values from matrix A |
| float a0 = *((__global float *)(src0_ptr + src_addr.s0 + 0 * src0_stride_y)); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| float a1 = *((__global float *)(src0_ptr + src_addr.s0 + 1 * src0_stride_y)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| float a2 = *((__global float *)(src0_ptr + src_addr.s0 + 2 * src0_stride_y)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| float a3 = *((__global float *)(src0_ptr + src_addr.s0 + 3 * src0_stride_y)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| // Load values from matrix B |
| float4 b0 = vload4(0, (__global float *)(src1_ptr + src_addr.s1)); |
| |
| // Multiply and accumulate |
| acc00 = fma(a0, b0.s0, acc00); |
| acc01 = fma(a0, b0.s1, acc01); |
| acc02 = fma(a0, b0.s2, acc02); |
| acc03 = fma(a0, b0.s3, acc03); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| acc10 = fma(a1, b0.s0, acc10); |
| acc11 = fma(a1, b0.s1, acc11); |
| acc12 = fma(a1, b0.s2, acc12); |
| acc13 = fma(a1, b0.s3, acc13); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| acc20 = fma(a2, b0.s0, acc20); |
| acc21 = fma(a2, b0.s1, acc21); |
| acc22 = fma(a2, b0.s2, acc22); |
| acc23 = fma(a2, b0.s3, acc23); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| acc30 = fma(a3, b0.s0, acc30); |
| acc31 = fma(a3, b0.s1, acc31); |
| acc32 = fma(a3, b0.s2, acc32); |
| acc33 = fma(a3, b0.s3, acc33); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| } |
| |
| // Compute destination address |
| Image dst = CONVERT_TO_IMAGE_STRUCT(dst); |
| |
| // Multiply by the weight of matrix-matrix product and store the result |
| #if defined(ALPHA) |
| acc00 = acc00 * ALPHA; |
| acc01 = acc01 * ALPHA; |
| acc02 = acc02 * ALPHA; |
| acc03 = acc03 * ALPHA; |
| #endif // defined(ALPHA) |
| |
| // Compute dst address |
| __global uchar *dst_addr = offset(&dst, 0, 0); |
| |
| // Add offset for batched GEMM |
| dst_addr += get_global_id(2) * dst_stride_z; |
| |
| float4 acc0 = ((float4)(acc00, acc01, acc02, acc03)); |
| vstore4(acc0, 0, (__global float *)(dst_addr + 0 * dst_stride_y)); |
| |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if defined(ALPHA) |
| acc10 = acc10 * ALPHA; |
| acc11 = acc11 * ALPHA; |
| acc12 = acc12 * ALPHA; |
| acc13 = acc13 * ALPHA; |
| #endif // defined(ALPHA) |
| float4 acc1 = ((float4)(acc10, acc11, acc12, acc13)); |
| vstore4(acc1, 0, (__global float *)(dst_addr + 1 * dst_stride_y)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if defined(ALPHA) |
| acc20 = acc20 * ALPHA; |
| acc21 = acc21 * ALPHA; |
| acc22 = acc22 * ALPHA; |
| acc23 = acc23 * ALPHA; |
| #endif // defined(ALPHA) |
| float4 acc2 = ((float4)(acc20, acc21, acc22, acc23)); |
| vstore4(acc2, 0, (__global float *)(dst_addr + 2 * dst_stride_y)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| #if defined(ALPHA) |
| acc30 = acc30 * ALPHA; |
| acc31 = acc31 * ALPHA; |
| acc32 = acc32 * ALPHA; |
| acc33 = acc33 * ALPHA; |
| #endif // defined(ALPHA) |
| float4 acc3 = ((float4)(acc30, acc31, acc32, acc33)); |
| vstore4(acc3, 0, (__global float *)(dst_addr + 3 * dst_stride_y)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| } |
| |
| /** This OpenCL kernel computes the matrix by matrix multiplication between the matrix A (src0) and matrix B (src1) in case both matrices have not been reshaped |
| * |
| * @note This OpenCL kernel works with the 32-bit floating point data type (float) and uses the fma units. |
| * This OpenCL kernel is optimized for Bifrost when the number of matrix B columns is less or equal to 1000. |
| * @note The number of elements processed along the x and y directions must be passed at compile time using -DNUM_ELEMS_PROCESSED_PER_THREAD_X and -DNUM_ELEMS_PROCESSED_PER_THREAD_Y. |
| * This kernel optimally uses -DNUM_ELEMS_PROCESSED_PER_THREAD_X=2. |
| * @note The number of matrix A columns must be passed at compile time using -DCOLS_A. |
| * @note The optional value of scalar alpha is passed at compile time using -DALPHA=alpha if alpha!=1.0f. |
| * |
| * @param[in] src0_ptr Pointer to the source matrix. Supported data types: F16/F32 |
| * @param[in] src0_stride_x Stride of the source matrix in X dimension (in bytes) |
| * @param[in] src0_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src0_stride_y Stride of the source matrix in Y dimension (in bytes) |
| * @param[in] src0_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src0_offset_first_element_in_bytes The offset of the first element in the source matrix |
| * @param[in] src1_ptr Pointer to the source matrix. Supported data types: same as @p src0_ptr |
| * @param[in] src1_stride_x Stride of the source matrix in X dimension (in bytes) |
| * @param[in] src1_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src1_stride_y Stride of the source matrix in Y dimension (in bytes) |
| * @param[in] src1_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src1_offset_first_element_in_bytes The offset of the first element in the source matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data types: same as @p src0_ptr |
| * @param[in] dst_stride_x Stride of the destination matrix in X dimension (in bytes) |
| * @param[in] dst_step_x dst_gx_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination matrix in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_gx_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination matrix |
| */ |
| __kernel void gemm_mm_floating_point_f32_bifrost_1000(IMAGE_DECLARATION(src0), |
| IMAGE_DECLARATION(src1), |
| IMAGE_DECLARATION(dst), |
| uint src0_stride_z, |
| uint src1_stride_z, |
| uint dst_stride_z) |
| { |
| // Requires 2 NUM_ELEMS_PROCESSED_PER_THREAD_X, C vect2, A vect4, B (2 vload2) // to fix for NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| int idx = get_global_id(0) * NUM_ELEMS_PROCESSED_PER_THREAD_X; |
| |
| // Compute starting address for matrix A and Matrix B |
| int2 src_addr = ((int2)(src0_offset_first_element_in_bytes, src1_offset_first_element_in_bytes)); |
| |
| // Update address for the matrix A |
| src_addr.s0 += get_global_id(1) * src0_stride_y * NUM_ELEMS_PROCESSED_PER_THREAD_Y; |
| |
| // Update address for the matrix B |
| src_addr.s1 += idx * sizeof(float); |
| |
| // Add offset for batched GEMM |
| src_addr.s0 += get_global_id(2) * src0_stride_z; |
| |
| // For convolution layer we do not want to slide the matrix B along Z |
| src_addr.s1 += get_global_id(2) * src1_stride_z; |
| |
| // Address boundary for the matrix A |
| int end_row_vec_a = src_addr.s0 + (COLS_A * sizeof(float)); |
| |
| // Initialize accumulators |
| float acc00 = 0.0f; |
| float acc01 = 0.0f; |
| |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| float acc10 = 0.0f; |
| float acc11 = 0.0f; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| float acc20 = 0.0f; |
| float acc21 = 0.0f; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| float acc30 = 0.0f; |
| float acc31 = 0.0f; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| |
| // A and B src indices get incremented at the same time. |
| for(; src_addr.s0 <= (end_row_vec_a - 4 * (int)sizeof(float)); src_addr += (int2)(4 * sizeof(float), 4 * src1_stride_y)) |
| { |
| // Load values from matrix A |
| float4 a0 = vload4(0, (__global float *)(src0_ptr + src_addr.s0 + 0 * src0_stride_y)); |
| |
| // Load values from matrix B |
| float2 b0 = vload2(0, (__global float *)(src1_ptr + src_addr.s1 + 0 * src1_stride_y)); |
| float2 b1 = vload2(0, (__global float *)(src1_ptr + src_addr.s1 + 1 * src1_stride_y)); |
| float2 b2 = vload2(0, (__global float *)(src1_ptr + src_addr.s1 + 2 * src1_stride_y)); |
| float2 b3 = vload2(0, (__global float *)(src1_ptr + src_addr.s1 + 3 * src1_stride_y)); |
| |
| // Multiply and accumulate |
| acc00 = fma(a0.s0, b0.s0, acc00); |
| acc00 = fma(a0.s1, b1.s0, acc00); |
| acc00 = fma(a0.s2, b2.s0, acc00); |
| acc00 = fma(a0.s3, b3.s0, acc00); |
| |
| acc01 = fma(a0.s0, b0.s1, acc01); |
| acc01 = fma(a0.s1, b1.s1, acc01); |
| acc01 = fma(a0.s2, b2.s1, acc01); |
| acc01 = fma(a0.s3, b3.s1, acc01); |
| |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| a0 = vload4(0, (__global float *)(src0_ptr + src_addr.s0 + 1 * src0_stride_y)); |
| acc10 = fma(a0.s0, b0.s0, acc10); |
| acc10 = fma(a0.s1, b1.s0, acc10); |
| acc10 = fma(a0.s2, b2.s0, acc10); |
| acc10 = fma(a0.s3, b3.s0, acc10); |
| |
| acc11 = fma(a0.s0, b0.s1, acc11); |
| acc11 = fma(a0.s1, b1.s1, acc11); |
| acc11 = fma(a0.s2, b2.s1, acc11); |
| acc11 = fma(a0.s3, b3.s1, acc11); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| a0 = vload4(0, (__global float *)(src0_ptr + src_addr.s0 + 2 * src0_stride_y)); |
| acc20 = fma(a0.s0, b0.s0, acc20); |
| acc20 = fma(a0.s1, b1.s0, acc20); |
| acc20 = fma(a0.s2, b2.s0, acc20); |
| acc20 = fma(a0.s3, b3.s0, acc20); |
| |
| acc21 = fma(a0.s0, b0.s1, acc21); |
| acc21 = fma(a0.s1, b1.s1, acc21); |
| acc21 = fma(a0.s2, b2.s1, acc21); |
| acc21 = fma(a0.s3, b3.s1, acc21); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| a0 = vload4(0, (__global float *)(src0_ptr + src_addr.s0 + 3 * src0_stride_y)); |
| acc30 = fma(a0.s0, b0.s0, acc30); |
| acc30 = fma(a0.s1, b1.s0, acc30); |
| acc30 = fma(a0.s2, b2.s0, acc30); |
| acc30 = fma(a0.s3, b3.s0, acc30); |
| |
| acc31 = fma(a0.s0, b0.s1, acc31); |
| acc31 = fma(a0.s1, b1.s1, acc31); |
| acc31 = fma(a0.s2, b2.s1, acc31); |
| acc31 = fma(a0.s3, b3.s1, acc31); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| } |
| // float size increment |
| for(; src_addr.s0 < end_row_vec_a; src_addr += (int2)(4, src1_stride_y)) |
| { |
| // Load values from matrix A |
| float a0 = *((__global float *)(src0_ptr + src_addr.s0 + 0 * src0_stride_y)); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| float a1 = *((__global float *)(src0_ptr + src_addr.s0 + 1 * src0_stride_y)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| float a2 = *((__global float *)(src0_ptr + src_addr.s0 + 2 * src0_stride_y)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| float a3 = *((__global float *)(src0_ptr + src_addr.s0 + 3 * src0_stride_y)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| // Load values from matrix B |
| float2 b0 = vload2(0, (__global float *)(src1_ptr + src_addr.s1)); |
| |
| // Multiply and accumulate |
| acc00 = fma(a0, b0.s0, acc00); |
| acc01 = fma(a0, b0.s1, acc01); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| acc10 = fma(a1, b0.s0, acc10); |
| acc11 = fma(a1, b0.s1, acc11); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| acc20 = fma(a2, b0.s0, acc20); |
| acc21 = fma(a2, b0.s1, acc21); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| acc30 = fma(a3, b0.s0, acc30); |
| acc31 = fma(a3, b0.s1, acc31); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| } |
| |
| // Compute destination address |
| Image dst = CONVERT_TO_IMAGE_STRUCT(dst); |
| |
| // Compute dst address |
| __global uchar *dst_addr = offset(&dst, 0, 0); |
| |
| // Add offset for batched GEMM |
| dst_addr += get_global_id(2) * dst_stride_z; |
| |
| // Multiply by the weight of matrix-matrix product and store the result |
| #if defined(ALPHA) |
| acc00 = acc00 * ALPHA; |
| acc01 = acc01 * ALPHA; |
| #endif // defined(ALPHA) |
| float2 acc0 = ((float2)(acc00, acc01)); |
| vstore2(acc0, 0, (__global float *)(dst_addr + 0 * dst_stride_y)); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if defined(ALPHA) |
| acc10 = acc10 * ALPHA; |
| acc11 = acc11 * ALPHA; |
| #endif // defined(ALPHA) |
| float2 acc1 = ((float2)(acc10, acc11)); |
| vstore2(acc1, 0, (__global float *)(dst_addr + 1 * dst_stride_y)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if defined(ALPHA) |
| acc20 = acc20 * ALPHA; |
| acc21 = acc21 * ALPHA; |
| #endif // defined(ALPHA) |
| float2 acc2 = ((float2)(acc20, acc21)); |
| vstore2(acc2, 0, (__global float *)(dst_addr + 2 * dst_stride_y)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| #if defined(ALPHA) |
| acc30 = acc30 * ALPHA; |
| acc31 = acc31 * ALPHA; |
| #endif // defined(ALPHA) |
| float2 acc3 = (float2)(acc30, acc31); |
| vstore2(acc3, 0, (__global float *)(dst_addr + 3 * dst_stride_y)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| } |
| |
| #if defined(FIXED_POINT_POSITION) |
| /** This OpenCL kernel computes the matrix by matrix multiplication between the matrix A (src0) and matrix B (src1) in case both matrices have not beed reshaped |
| * |
| * @note This OpenCL kernel works with fixed point data types QS8 |
| * @note The number of elements processed along the x and y directions must be passed at compile time using -DNUM_ELEMS_PROCESSED_PER_THREAD_X and -DNUM_ELEMS_PROCESSED_PER_THREAD_Y |
| * @note The number matrix A columns, the number of elements processed per thread along the Y direction and the alpha's value need to be passed at compile time using -DCOLS_A, -DNUM_ELEMS_PROCESSED_PER_THREAD_Y and -DALPHA |
| * @note The fixed point position need to be passed at compile time using -DFIXED_POINT_POSITION |
| * @note The optional alpha value must be passed in 8 bit fixed point format using -DALPHA |
| * |
| * @param[in] src0_ptr Pointer to the source matrix. Supported data types: QS8/QS16 |
| * @param[in] src0_stride_x Stride of the source matrix in X dimension (in bytes) |
| * @param[in] src0_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src0_stride_y Stride of the source matrix in Y dimension (in bytes) |
| * @param[in] src0_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src0_offset_first_element_in_bytes The offset of the first element in the source matrix |
| * @param[in] src1_ptr Pointer to the source matrix. Supported data types: same as @p src0_ptr |
| * @param[in] src1_stride_x Stride of the source matrix in X dimension (in bytes) |
| * @param[in] src1_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src1_stride_y Stride of the source matrix in Y dimension (in bytes) |
| * @param[in] src1_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src1_offset_first_element_in_bytes The offset of the first element in the source matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data types: same as @p src0_ptr |
| * @param[in] dst_stride_x Stride of the destination matrix in X dimension (in bytes) |
| * @param[in] dst_step_x dst_gx_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination matrix in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_gx_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination matrix |
| */ |
| __kernel void gemm_mm_qs8(IMAGE_DECLARATION(src0), |
| IMAGE_DECLARATION(src1), |
| IMAGE_DECLARATION(dst), |
| uint src0_stride_z, |
| uint src1_stride_z, |
| uint dst_stride_z) |
| { |
| int idx = get_global_id(0) * NUM_ELEMS_PROCESSED_PER_THREAD_X; |
| |
| // Compute starting address for matrix A and Matrix B |
| int2 src_addr = ((int2)(src0_offset_first_element_in_bytes, src1_offset_first_element_in_bytes)); |
| |
| // Update address for the matrix A |
| src_addr.s0 += get_global_id(1) * src0_stride_y * NUM_ELEMS_PROCESSED_PER_THREAD_Y; |
| |
| // Update address for the matrix B |
| src_addr.s1 += idx * sizeof(char); |
| |
| // Add offset for batched GEMM |
| src_addr.s0 += get_global_id(2) * src0_stride_z; |
| src_addr.s1 += get_global_id(2) * src1_stride_z; |
| |
| int end_row_vec_a = src_addr.s0 + (COLS_A * sizeof(char)); |
| |
| short8 acc00 = 0; |
| short8 acc01 = 0; |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| short8 acc10 = 0; |
| short8 acc11 = 0; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| short8 acc20 = 0; |
| short8 acc21 = 0; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| short8 acc30 = 0; |
| short8 acc31 = 0; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| |
| // This for loop performs 4 accumulations per iteration |
| for(; src_addr.s0 <= (end_row_vec_a - 2); src_addr += (int2)(2, 2 * src1_stride_y)) |
| { |
| char2 a0 = vload2(0, (__global char *)(src0_ptr + src_addr.s0 + 0 * src0_stride_y)); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| char2 a1 = vload2(0, (__global char *)(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 |
| char2 a2 = vload2(0, (__global char *)(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 |
| char2 a3 = vload2(0, (__global char *)(src0_ptr + src_addr.s0 + 3 * src0_stride_y)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| char16 b0 = vload16(0, (__global char *)(src1_ptr + src_addr.s1 + 0 * src1_stride_y)); |
| char16 b1 = vload16(0, (__global char *)(src1_ptr + src_addr.s1 + 1 * src1_stride_y)); |
| |
| acc00 = mlal_sat_qs8x8(acc00, (char8)a0.s0, b0.s01234567, FIXED_POINT_POSITION); |
| acc00 = mlal_sat_qs8x8(acc00, (char8)a0.s1, b1.s01234567, FIXED_POINT_POSITION); |
| acc01 = mlal_sat_qs8x8(acc01, (char8)a0.s0, b0.s89ABCDEF, FIXED_POINT_POSITION); |
| acc01 = mlal_sat_qs8x8(acc01, (char8)a0.s1, b1.s89ABCDEF, FIXED_POINT_POSITION); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| acc10 = mlal_sat_qs8x8(acc10, (char8)a1.s0, b0.s01234567, FIXED_POINT_POSITION); |
| acc10 = mlal_sat_qs8x8(acc10, (char8)a1.s1, b1.s01234567, FIXED_POINT_POSITION); |
| acc11 = mlal_sat_qs8x8(acc11, (char8)a1.s0, b0.s89ABCDEF, FIXED_POINT_POSITION); |
| acc11 = mlal_sat_qs8x8(acc11, (char8)a1.s1, b1.s89ABCDEF, FIXED_POINT_POSITION); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| acc20 = mlal_sat_qs8x8(acc20, (char8)a2.s0, b0.s01234567, FIXED_POINT_POSITION); |
| acc20 = mlal_sat_qs8x8(acc20, (char8)a2.s1, b1.s01234567, FIXED_POINT_POSITION); |
| acc21 = mlal_sat_qs8x8(acc21, (char8)a2.s0, b0.s89ABCDEF, FIXED_POINT_POSITION); |
| acc21 = mlal_sat_qs8x8(acc21, (char8)a2.s1, b1.s89ABCDEF, FIXED_POINT_POSITION); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| acc30 = mlal_sat_qs8x8(acc30, (char8)a3.s0, b0.s01234567, FIXED_POINT_POSITION); |
| acc30 = mlal_sat_qs8x8(acc30, (char8)a3.s1, b1.s01234567, FIXED_POINT_POSITION); |
| acc31 = mlal_sat_qs8x8(acc31, (char8)a3.s0, b0.s89ABCDEF, FIXED_POINT_POSITION); |
| acc31 = mlal_sat_qs8x8(acc31, (char8)a3.s1, b1.s89ABCDEF, FIXED_POINT_POSITION); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| } |
| |
| // Left-over accumulations |
| for(; src_addr.s0 < end_row_vec_a; src_addr += (int2)(1, src1_stride_y)) |
| { |
| char a0 = *((__global char *)(src0_ptr + src_addr.s0 + 0 * src0_stride_y)); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| char a1 = *((__global char *)(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 |
| char a2 = *((__global char *)(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 |
| char a3 = *((__global char *)(src0_ptr + src_addr.s0 + 3 * src0_stride_y)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| char16 b0 = vload16(0, (__global char *)(src1_ptr + src_addr.s1)); |
| |
| acc00 = mlal_sat_qs8x8(acc00, (char8)a0, b0.s01234567, FIXED_POINT_POSITION); |
| acc01 = mlal_sat_qs8x8(acc01, (char8)a0, b0.s89ABCDEF, FIXED_POINT_POSITION); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| acc10 = mlal_sat_qs8x8(acc10, (char8)a1, b0.s01234567, FIXED_POINT_POSITION); |
| acc11 = mlal_sat_qs8x8(acc11, (char8)a1, b0.s89ABCDEF, FIXED_POINT_POSITION); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| acc20 = mlal_sat_qs8x8(acc20, (char8)a2, b0.s01234567, FIXED_POINT_POSITION); |
| acc21 = mlal_sat_qs8x8(acc21, (char8)a2, b0.s89ABCDEF, FIXED_POINT_POSITION); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| acc30 = mlal_sat_qs8x8(acc30, (char8)a3, b0.s01234567, FIXED_POINT_POSITION); |
| acc31 = mlal_sat_qs8x8(acc31, (char8)a3, b0.s89ABCDEF, FIXED_POINT_POSITION); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| } |
| |
| // Compute destination address |
| Image dst = CONVERT_TO_IMAGE_STRUCT(dst); |
| |
| // Compute dst address |
| __global uchar *dst_addr = offset(&dst, 0, 0); |
| |
| // Add offset for batched GEMM |
| dst_addr += get_global_id(2) * dst_stride_z; |
| |
| // Multiply by the weight of matrix product and store the result |
| char16 acc_qs8; |
| acc_qs8 = convert_char16_sat((short16)(acc00, acc01)); |
| #if defined(ALPHA) |
| acc_qs8 = mul_sat_qs8x16(acc_qs8, (char16)ALPHA, FIXED_POINT_POSITION); |
| #endif // defined(ALPHA) |
| vstore16(acc_qs8, 0, (__global char *)(dst_addr + 0 * dst_stride_y)); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| acc_qs8 = convert_char16_sat((short16)(acc10, acc11)); |
| #if defined(ALPHA) |
| acc_qs8 = mul_sat_qs8x16(acc_qs8, (char16)ALPHA, FIXED_POINT_POSITION); |
| #endif // defined(ALPHA) |
| vstore16(acc_qs8, 0, (__global char *)(dst_addr + 1 * dst_stride_y)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| acc_qs8 = convert_char16_sat((short16)(acc20, acc21)); |
| #if defined(ALPHA) |
| acc_qs8 = mul_sat_qs8x16(acc_qs8, (char16)ALPHA, FIXED_POINT_POSITION); |
| #endif // defined(ALPHA) |
| vstore16(acc_qs8, 0, (__global char *)(dst_addr + 2 * dst_stride_y)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| acc_qs8 = convert_char16_sat((short16)(acc30, acc31)); |
| #if defined(ALPHA) |
| acc_qs8 = mul_sat_qs8x16(acc_qs8, (char16)ALPHA, FIXED_POINT_POSITION); |
| #endif // defined(ALPHA) |
| vstore16(acc_qs8, 0, (__global char *)(dst_addr + 3 * dst_stride_y)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| } |
| |
| /** This OpenCL kernel computes the matrix by matrix multiplication between the matrix A (src0) and matrix B (src1) in case both matrices have not beed reshaped |
| * |
| * @note This OpenCL kernel works with fixed point data types QS16 |
| * @note The number of elements processed along the x and y directions must be passed at compile time using -DNUM_ELEMS_PROCESSED_PER_THREAD_X and -DNUM_ELEMS_PROCESSED_PER_THREAD_Y |
| * @note The number of matrix A columns, the number of elements processed per thread along the Y direction and the alpha's value need to be passed at compile time using -DCOLS_A, -DNUM_ELEMS_PROCESSED_PER_THREAD_Y and -DALPHA |
| * @note The fixed point position need to be passed at compile time using -DFIXED_POINT_POSITION |
| * @note The optional alpha value must be passed in 16 bit fixed point format using -DALPHA |
| * |
| * @param[in] src0_ptr Pointer to the source matrix. Supported data types: QS8/QS16 |
| * @param[in] src0_stride_x Stride of the source matrix in X dimension (in bytes) |
| * @param[in] src0_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src0_stride_y Stride of the source matrix in Y dimension (in bytes) |
| * @param[in] src0_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src0_offset_first_element_in_bytes The offset of the first element in the source matrix |
| * @param[in] src1_ptr Pointer to the source matrix. Supported data types: same as @p src0_ptr |
| * @param[in] src1_stride_x Stride of the source matrix in X dimension (in bytes) |
| * @param[in] src1_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src1_stride_y Stride of the source matrix in Y dimension (in bytes) |
| * @param[in] src1_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src1_offset_first_element_in_bytes The offset of the first element in the source matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data types: same as @p src0_ptr |
| * @param[in] dst_stride_x Stride of the destination matrix in X dimension (in bytes) |
| * @param[in] dst_step_x dst_gx_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination matrix in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_gx_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination matrix |
| */ |
| __kernel void gemm_mm_qs16(IMAGE_DECLARATION(src0), |
| IMAGE_DECLARATION(src1), |
| IMAGE_DECLARATION(dst), |
| uint src0_stride_z, |
| uint src1_stride_z, |
| uint dst_stride_z) |
| { |
| int idx = get_global_id(0) * NUM_ELEMS_PROCESSED_PER_THREAD_X; |
| |
| // Compute starting address for matrix A and Matrix B |
| int2 src_addr = ((int2)(src0_offset_first_element_in_bytes, src1_offset_first_element_in_bytes)); |
| |
| // Update address for the matrix A |
| src_addr.s0 += get_global_id(1) * src0_stride_y * NUM_ELEMS_PROCESSED_PER_THREAD_Y; |
| |
| // Update address for the matrix B |
| src_addr.s1 += idx * sizeof(short); |
| |
| // Add offset for batched GEMM |
| src_addr.s0 += get_global_id(2) * src0_stride_z; |
| src_addr.s1 += get_global_id(2) * src1_stride_z; |
| |
| int end_row_vec_a = src_addr.s0 + (COLS_A * sizeof(short)); |
| |
| int8 acc0 = 0; |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| int8 acc1 = 0; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| int8 acc2 = 0; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| int8 acc3 = 0; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| |
| // This for loop performs 4 accumulations per iteration |
| for(; src_addr.s0 <= (end_row_vec_a - 2 * (int)sizeof(short)); src_addr += (int2)(2 * sizeof(short), 2 * src1_stride_y)) |
| { |
| short2 a0 = vload2(0, (__global short *)(src0_ptr + src_addr.s0 + 0 * src0_stride_y)); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| short2 a1 = vload2(0, (__global short *)(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 |
| short2 a2 = vload2(0, (__global short *)(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 |
| short2 a3 = vload2(0, (__global short *)(src0_ptr + src_addr.s0 + 3 * src0_stride_y)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| short8 b0 = vload8(0, (__global short *)(src1_ptr + src_addr.s1 + 0 * src1_stride_y)); |
| short8 b1 = vload8(0, (__global short *)(src1_ptr + src_addr.s1 + 1 * src1_stride_y)); |
| |
| acc0 = mlal_sat_qs16x8(acc0, (short8)a0.s0, b0, FIXED_POINT_POSITION); |
| acc0 = mlal_sat_qs16x8(acc0, (short8)a0.s1, b1, FIXED_POINT_POSITION); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| acc1 = mlal_sat_qs16x8(acc1, (short8)a1.s0, b0, FIXED_POINT_POSITION); |
| acc1 = mlal_sat_qs16x8(acc1, (short8)a1.s1, b1, FIXED_POINT_POSITION); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| acc2 = mlal_sat_qs16x8(acc2, (short8)a2.s0, b0, FIXED_POINT_POSITION); |
| acc2 = mlal_sat_qs16x8(acc2, (short8)a2.s1, b1, FIXED_POINT_POSITION); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| acc3 = mlal_sat_qs16x8(acc3, (short8)a3.s0, b0, FIXED_POINT_POSITION); |
| acc3 = mlal_sat_qs16x8(acc3, (short8)a3.s1, b1, FIXED_POINT_POSITION); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| } |
| |
| // Left-over accumulations |
| for(; src_addr.s0 < end_row_vec_a; src_addr += (int2)(sizeof(short), src1_stride_y)) |
| { |
| short a0 = *((__global short *)(src0_ptr + src_addr.s0 + 0 * src0_stride_y)); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| short a1 = *((__global short *)(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 |
| short a2 = *((__global short *)(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 |
| short a3 = *((__global short *)(src0_ptr + src_addr.s0 + 3 * src0_stride_y)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| short8 b0 = vload8(0, (__global short *)(src1_ptr + src_addr.s1)); |
| |
| acc0 = mlal_sat_qs16x8(acc0, (short8)a0, b0, FIXED_POINT_POSITION); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| acc1 = mlal_sat_qs16x8(acc1, (short8)a1, b0, FIXED_POINT_POSITION); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| acc2 = mlal_sat_qs16x8(acc2, (short8)a2, b0, FIXED_POINT_POSITION); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| acc3 = mlal_sat_qs16x8(acc3, (short8)a3, b0, FIXED_POINT_POSITION); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| } |
| |
| // Compute destination address |
| Image dst = CONVERT_TO_IMAGE_STRUCT(dst); |
| |
| // Compute dst address |
| __global uchar *dst_addr = offset(&dst, 0, 0); |
| |
| // Multiply by the weight of matrix product and store the result |
| short8 acc_qs16; |
| acc_qs16 = convert_short8_sat(acc0); |
| #if defined(ALPHA) |
| acc_qs16 = mul_sat_qs16x8(acc_qs16, (short8)ALPHA, FIXED_POINT_POSITION); |
| #endif // defined(ALPHA) |
| vstore8(acc_qs16, 0, (__global short *)(dst_addr + 0 * dst_stride_y)); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| acc_qs16 = convert_short8_sat(acc1); |
| #if defined(ALPHA) |
| acc_qs16 = mul_sat_qs16x8(acc_qs16, (short8)ALPHA, FIXED_POINT_POSITION); |
| #endif // defined(ALPHA) |
| vstore8(acc_qs16, 0, (__global short *)(dst_addr + 1 * dst_stride_y)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| acc_qs16 = convert_short8_sat(acc2); |
| #if defined(ALPHA) |
| acc_qs16 = mul_sat_qs16x8(acc_qs16, (short8)ALPHA, FIXED_POINT_POSITION); |
| #endif // defined(ALPHA) |
| vstore8(acc_qs16, 0, (__global short *)(dst_addr + 2 * dst_stride_y)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| acc_qs16 = convert_short8_sat(acc3); |
| #if defined(ALPHA) |
| acc_qs16 = mul_sat_qs16x8(acc_qs16, (short8)ALPHA, FIXED_POINT_POSITION); |
| #endif // defined(ALPHA) |
| vstore8(acc_qs16, 0, (__global short *)(dst_addr + 3 * dst_stride_y)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| } |
| #endif // defined(FIXED_POINT_POSITION) |
| #endif // defined(COLS_A) && defined(NUM_ELEMS_PROCESSED_PER_THREAD_X) && (NUM_ELEMS_PROCESSED_PER_THREAD_Y) |
| |
| #if defined(BETA) |
| /** This OpenCL kernel performs the in-place matrix addition between 2 matrices taking into account that the second matrix might be weighted by a scalar value beta: |
| * |
| * @note The beta's value need to be passed at compile time using -DBETA |
| * |
| * @param[in] src_ptr Pointer to the source matrix. Supported data types: F32 |
| * @param[in] src_stride_x Stride of the source matrix in X dimension (in bytes) |
| * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src_stride_y Stride of the source matrix in Y dimension (in bytes) |
| * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src_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_offset_first_element_in_bytes The offset of the first element in the destination matrix |
| */ |
| __kernel void gemm_ma_f32(IMAGE_DECLARATION(src), |
| IMAGE_DECLARATION(dst)) |
| { |
| // Compute source and destination addresses |
| Image src = CONVERT_TO_IMAGE_STRUCT(src); |
| Image dst = CONVERT_TO_IMAGE_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); |
| } |
| |
| /** 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_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_offset_first_element_in_bytes The offset of the first element in the destination matrix |
| */ |
| __kernel void gemm_ma_f16(IMAGE_DECLARATION(src), |
| IMAGE_DECLARATION(dst)) |
| { |
| // Compute source and destination addresses |
| Image src = CONVERT_TO_IMAGE_STRUCT(src); |
| Image dst = CONVERT_TO_IMAGE_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); |
| } |
| |
| #if defined(FIXED_POINT_POSITION) |
| /** This OpenCL kernel performs the in-place matrix addition between 2 matrices in 8 bit fixed point taking into account that the second matrix might be weighted by a scalar value beta: |
| * |
| * @note The beta's value and the fixed point position need to be passed at compile time using -DBETA and -DFIXED_POINT_POSITION |
| * |
| * @note: BETA must be passed in 8 bit fixed point format |
| * |
| * @param[in] src_ptr Pointer to the source matrix. Supported data types: QS8 |
| * @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_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_offset_first_element_in_bytes The offset of the first element in the destination matrix |
| */ |
| __kernel void gemm_ma_qs8(IMAGE_DECLARATION(src), |
| IMAGE_DECLARATION(dst)) |
| { |
| // Compute source and destination addresses |
| Image src = CONVERT_TO_IMAGE_STRUCT(src); |
| Image dst = CONVERT_TO_IMAGE_STRUCT(dst); |
| |
| // Load values from A x B |
| char16 alpha_ab = vload16(0, (__global char *)dst.ptr); |
| |
| // Load values from Matrix C |
| char16 c = vload16(0, (__global char *)src.ptr); |
| |
| // Computes alpha * axb + beta * c |
| char16 out = mla_sat_qs8x16(alpha_ab, (char16)BETA, c, FIXED_POINT_POSITION); |
| |
| // Store final result in axb matrix |
| vstore16(out, 0, (__global char *)dst.ptr); |
| } |
| |
| /** This OpenCL kernel performs the in-place matrix addition between 2 matrices in 16 bit fixed point taking into account that the second matrix might be weighted by a scalar value beta: |
| * |
| * @note The beta's value and the fixed point position need to be passed at compile time using -DBETA and -DFIXED_POINT_POSITION |
| * |
| * @note: BETA must be passed in 16 bit fixed point format |
| * |
| * @param[in] src_ptr Pointer to the source matrix. Supported data types: QS16 |
| * @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_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_offset_first_element_in_bytes The offset of the first element in the destination matrix |
| */ |
| __kernel void gemm_ma_qs16(IMAGE_DECLARATION(src), |
| IMAGE_DECLARATION(dst)) |
| { |
| // Compute source and destination addresses |
| Image src = CONVERT_TO_IMAGE_STRUCT(src); |
| Image dst = CONVERT_TO_IMAGE_STRUCT(dst); |
| |
| // Load values from A x B |
| short8 alpha_ab = vload8(0, (__global short *)dst.ptr); |
| |
| // Load values from Matrix C |
| short8 c = vload8(0, (__global short *)src.ptr); |
| |
| // Computes alpha * axb + beta * c |
| short8 out = mla_sat_qs16x8(alpha_ab, (short8)BETA, c, FIXED_POINT_POSITION); |
| |
| // Store final result in axb matrix |
| vstore8(out, 0, (__global short *)dst.ptr); |
| } |
| #endif // defined(FIXED_POINT_POSITION) |
| #endif // defined(BETA) |
| |
| #if defined(WIDTH_VECTOR_A) |
| /** This OpenCL kernel computes the vector by matrix multiplication between each row of A (src0) and matrix B (src1) used for locally connected layer |
| * |
| * @note The width of A need to be passed at compile time using -DWIDTH_VECTOR_A |
| * |
| * @note The input A and matrix B must not be reshaped |
| * |
| * @param[in] src0_ptr Pointer to the source matrix. Supported data types: F32 |
| * @param[in] src0_stride_x Stride of the source matrix in X dimension (in bytes) |
| * @param[in] src0_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src0_stride_y Stride of the source matrix in Y dimension (in bytes) |
| * @param[in] src0_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src0_offset_first_element_in_bytes The offset of the first element in the source matrix |
| * @param[in] src1_ptr Pointer to the source matrix. Supported data types: same as @p src0_ptr |
| * @param[in] src1_stride_x Stride of the source matrix in X dimension (in bytes) |
| * @param[in] src1_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src1_stride_y Stride of the source matrix in Y dimension (in bytes) |
| * @param[in] src1_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src1_stride_z Stride of the source matrix in Z dimension (in bytes) |
| * @param[in] src1_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] src1_offset_first_element_in_bytes The offset of the first element in the source matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data types: same as @p src0_ptr |
| * @param[in] dst_stride_x Stride of the destination matrix in X dimension (in bytes) |
| * @param[in] dst_step_x dst_gx_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination matrix in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_gx_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination matrix |
| */ |
| __kernel void gemm_lc_vm_f32(IMAGE_DECLARATION(src0), |
| TENSOR3D_DECLARATION(src1), |
| IMAGE_DECLARATION(dst)) |
| { |
| int idx = get_global_id(0) * 4; |
| int idy = get_global_id(1); |
| |
| // Compute the address for the vector A and matrix B |
| int2 src_addr = ((int2)(src0_offset_first_element_in_bytes + src0_stride_y * idy, src1_offset_first_element_in_bytes + src1_stride_z * idy)); |
| src_addr.s1 += idx * sizeof(float); |
| |
| int end_row_vec_a = src_addr.s0 + (WIDTH_VECTOR_A * sizeof(float)); |
| |
| float4 acc = 0.0f; |
| |
| for(; src_addr.s0 <= (end_row_vec_a - 2 * (int)sizeof(float)); src_addr += (int2)(2 * sizeof(float), 2 * src1_stride_y)) |
| { |
| float2 a0 = vload2(0, (__global float *)(src0_ptr + src_addr.s0)); |
| float4 b0 = vload4(0, (__global float *)(src1_ptr + src_addr.s1)); |
| float4 b1 = vload4(0, (__global float *)(src1_ptr + src_addr.s1 + src1_stride_y)); |
| |
| acc += b0 * (float4)a0.s0; |
| acc += b1 * (float4)a0.s1; |
| } |
| |
| for(; src_addr.s0 < end_row_vec_a; src_addr += (int2)(sizeof(float), src1_stride_y)) |
| { |
| float a0 = *((__global float *)(src0_ptr + src_addr.s0)); |
| float4 b0 = vload4(0, (__global float *)(src1_ptr + src_addr.s1)); |
| |
| acc += b0 * (float4)a0; |
| } |
| |
| // Compute destination address |
| Image dst = CONVERT_TO_IMAGE_STRUCT(dst); |
| |
| vstore4(acc, 0, (__global float *)(offset(&dst, 0, 0))); |
| } |
| #endif // defined(WIDTH_VECTOR_A) |
| |
| /** This kernel accumulates each row with the biases vector. |
| * |
| * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=short. |
| * @note The vector size must be passed at compile time using -DVECTOR_SIZE e.g. -DVECTOR_SIZE=16. |
| * |
| * @param[in, out] accum_ptr Pointer to the accumulate tensor. Supported data type: U8/S8/QS8/U16/S16/F16/U32/S32/F32 |
| * @param[in] accum_stride_x Stride of the accmulate tensor in X dimension (in bytes) |
| * @param[in] accum_step_x accum_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] accum_stride_y Stride of the accumlulate tensor in Y dimension (in bytes) |
| * @param[in] accum_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] accum_offset_first_element_in_bytes The offset of the first element in the accumulate tensor |
| * @param[in] biases_ptr Pointer to the biases vector. Same as @p accum_ptr |
| * @param[in] biases_stride_x Stride of the destination tensor in X dimension (in bytes) |
| * @param[in] biases_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] biases_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| */ |
| #if defined(DATA_TYPE) && defined(VECTOR_SIZE) |
| __kernel void gemm_accumulate_biases( |
| IMAGE_DECLARATION(accum), |
| VECTOR_DECLARATION(biases)) |
| { |
| Image accum = CONVERT_TO_IMAGE_STRUCT(accum); |
| Vector biases = CONVERT_TO_VECTOR_STRUCT(biases); |
| |
| // Vector size, i.e. number of vector elements. |
| VEC_DATA_TYPE(DATA_TYPE, VECTOR_SIZE) |
| accum_value = VLOAD(VECTOR_SIZE)(0, (__global DATA_TYPE *)accum.ptr); |
| VEC_DATA_TYPE(DATA_TYPE, VECTOR_SIZE) |
| biases_value = VLOAD(VECTOR_SIZE)(0, (__global DATA_TYPE *)biases.ptr); |
| #ifdef FIXED_POINT_POSITION |
| accum_value = ADD_SAT_OP_EXPAND(biases_value, accum_value, DATA_TYPE, VECTOR_SIZE); |
| #else // FIXED_POINT_POSITION |
| accum_value = biases_value + accum_value; |
| #endif // FIXED_POINT_POSITION |
| // Store result in the accumulate buffer |
| VSTORE(VECTOR_SIZE) |
| (accum_value, 0, (__global DATA_TYPE *)accum.ptr); |
| } |
| #endif // defined(DATA_TYPE) && defined(VECTOR_SIZE) |