| /* |
| * Copyright (c) 2017 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 "fixed_point.h" |
| #include "helpers.h" |
| |
| /** This OpenCL kernel computes the "vector" 1x4 transposition of input matrix |
| * |
| * @param[in] src_ptr Pointer to the source matrix. Supported data types: 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_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_transpose1x4(IMAGE_DECLARATION(src), |
| IMAGE_DECLARATION(dst)) |
| { |
| uint x = get_global_id(0); |
| uint y = get_global_id(1); |
| |
| /* Compute address for Matrix B - source */ |
| Image src = CONVERT_TO_IMAGE_STRUCT(src); |
| |
| /* Compute address for Matrix B transposed - destination. X and Y are swapped */ |
| uint dst_addr_in_bytes = y * 16 + ((x * dst_stride_y + dst_offset_first_element_in_bytes)); |
| |
| uint4 b0 = vload4(0, (__global uint *)src.ptr); |
| |
| vstore4(b0, 0, (__global uint *)(dst_ptr + dst_addr_in_bytes)); |
| } |
| |
| /** This OpenCL kernel computes the "vector" 1x8 transposition of input matrix |
| * |
| * @param[in] src_ptr Pointer to the source matrix. Supported data types: U16/S16/QS16/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_transpose1x8(IMAGE_DECLARATION(src), |
| IMAGE_DECLARATION(dst)) |
| { |
| uint x = get_global_id(0); |
| uint y = get_global_id(1); |
| |
| /* Compute address for Matrix B - source */ |
| Image src = CONVERT_TO_IMAGE_STRUCT(src); |
| |
| /* Compute address for Matrix B transposed - destination. X and Y are swapped */ |
| uint dst_addr_in_bytes = y * 16 + ((x * dst_stride_y + dst_offset_first_element_in_bytes)); |
| |
| ushort8 b0 = vload8(0, (__global ushort *)src.ptr); |
| |
| vstore8(b0, 0, (__global ushort *)(dst_ptr + dst_addr_in_bytes)); |
| } |
| |
| /** This OpenCL kernel computes the "vector" 1x16 transposition of input matrix |
| * |
| * @param[in] src_ptr Pointer to the source matrix. Supported data types: U8/S8/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_transpose1x16(IMAGE_DECLARATION(src), |
| IMAGE_DECLARATION(dst)) |
| { |
| uint x = get_global_id(0); |
| uint y = get_global_id(1); |
| |
| /* Compute address for Matrix B - source */ |
| Image src = CONVERT_TO_IMAGE_STRUCT(src); |
| |
| /* Compute address for Matrix B transposed - destination. X and Y are swapped */ |
| uint dst_addr_in_bytes = y * 16 + ((x * dst_stride_y + dst_offset_first_element_in_bytes)); |
| |
| uchar16 b0 = vload16(0, (__global uchar *)src.ptr); |
| |
| vstore16(b0, 0, (__global uchar *)(dst_ptr + dst_addr_in_bytes)); |
| } |
| |
| /** This OpenCL kernel reshapes the input matrix transposing each 4x4 block and interleaving the values |
| * |
| * @param[in] src_ptr Pointer to the source matrix. Supported data types: 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_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_interleave4x4_32bit(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 Matrix A */ |
| float4 a0 = vload4(0, (__global float *)(offset(&src, 0, 0))); |
| float4 a1 = vload4(0, (__global float *)(offset(&src, 0, 1))); |
| float4 a2 = vload4(0, (__global float *)(offset(&src, 0, 2))); |
| float4 a3 = vload4(0, (__global float *)(offset(&src, 0, 3))); |
| |
| float4 val0 = (float4)(a0.s0, a1.s0, a2.s0, a3.s0); |
| vstore4(val0, 0, ((__global float *)dst.ptr) + 0); |
| |
| val0 = (float4)(a0.s1, a1.s1, a2.s1, a3.s1); |
| vstore4(val0, 0, ((__global float *)dst.ptr) + 4); |
| |
| val0 = (float4)(a0.s2, a1.s2, a2.s2, a3.s2); |
| vstore4(val0, 0, ((__global float *)dst.ptr) + 8); |
| |
| val0 = (float4)(a0.s3, a1.s3, a2.s3, a3.s3); |
| vstore4(val0, 0, ((__global float *)dst.ptr) + 12); |
| } |
| |
| /** This OpenCL kernel reshapes the input matrix transposing each 4x4 block and interleaving the values |
| * |
| * @param[in] src_ptr Pointer to the source matrix. Supported data types: U16/S16/QS16/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_interleave4x4_16bit(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 Matrix A */ |
| half8 a0 = vload8(0, (__global half *)(offset(&src, 0, 0))); |
| half8 a1 = vload8(0, (__global half *)(offset(&src, 0, 1))); |
| half8 a2 = vload8(0, (__global half *)(offset(&src, 0, 2))); |
| half8 a3 = vload8(0, (__global half *)(offset(&src, 0, 3))); |
| |
| half8 val0 = (half8)((half4)(a0.s0, a1.s0, a2.s0, a3.s0), (half4)(a0.s1, a1.s1, a2.s1, a3.s1)); |
| vstore8(val0, 0, ((__global half *)dst.ptr) + 0); |
| |
| val0 = (half8)((half4)(a0.s2, a1.s2, a2.s2, a3.s2), (half4)(a0.s3, a1.s3, a2.s3, a3.s3)); |
| vstore8(val0, 0, ((__global half *)dst.ptr) + 8); |
| |
| val0 = (half8)((half4)(a0.s4, a1.s4, a2.s4, a3.s4), (half4)(a0.s5, a1.s5, a2.s5, a3.s5)); |
| vstore8(val0, 0, ((__global half *)dst.ptr) + 16); |
| |
| val0 = (half8)((half4)(a0.s6, a1.s6, a2.s6, a3.s6), (half4)(a0.s7, a1.s7, a2.s7, a3.s7)); |
| vstore8(val0, 0, ((__global half *)dst.ptr) + 24); |
| } |
| |
| /** This OpenCL kernel reshapes the input matrix transposing each 4x4 block and interleaving the values |
| * |
| * @param[in] src_ptr Pointer to the source matrix. Supported data types: U8/S8/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_interleave4x4_8bit(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 Matrix A */ |
| uchar16 a0 = vload16(0, (__global uchar *)(offset(&src, 0, 0))); |
| uchar16 a1 = vload16(0, (__global uchar *)(offset(&src, 0, 1))); |
| uchar16 a2 = vload16(0, (__global uchar *)(offset(&src, 0, 2))); |
| uchar16 a3 = vload16(0, (__global uchar *)(offset(&src, 0, 3))); |
| |
| uchar16 val0 = (uchar16)((uchar4)(a0.s0, a1.s0, a2.s0, a3.s0), (uchar4)(a0.s1, a1.s1, a2.s1, a3.s1), |
| (uchar4)(a0.s2, a1.s2, a2.s2, a3.s2), (uchar4)(a0.s3, a1.s3, a2.s3, a3.s3)); |
| vstore16(val0, 0, ((__global uchar *)dst.ptr) + 0); |
| |
| val0 = (uchar16)((uchar4)(a0.s4, a1.s4, a2.s4, a3.s4), (uchar4)(a0.s5, a1.s5, a2.s5, a3.s5), |
| (uchar4)(a0.s6, a1.s6, a2.s6, a3.s6), (uchar4)(a0.s7, a1.s7, a2.s7, a3.s7)); |
| vstore16(val0, 0, ((__global uchar *)dst.ptr) + 16); |
| |
| val0 = (uchar16)((uchar4)(a0.s8, a1.s8, a2.s8, a3.s8), (uchar4)(a0.s9, a1.s9, a2.s9, a3.s9), |
| (uchar4)(a0.sA, a1.sA, a2.sA, a3.sA), (uchar4)(a0.sB, a1.sB, a2.sB, a3.sB)); |
| vstore16(val0, 0, ((__global uchar *)dst.ptr) + 32); |
| |
| val0 = (uchar16)((uchar4)(a0.sC, a1.sC, a2.sC, a3.sC), (uchar4)(a0.sD, a1.sD, a2.sD, a3.sD), |
| (uchar4)(a0.sE, a1.sE, a2.sE, a3.sE), (uchar4)(a0.sF, a1.sF, a2.sF, a3.sF)); |
| vstore16(val0, 0, ((__global uchar *)dst.ptr) + 48); |
| } |
| |
| /** This kernel accumulates each row with the biases vector |
| * |
| * @note The data type must be passed at compile time -DDATA_TYPE=type. e.g. -DDATA_TYPE=short |
| * |
| * @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 |
| */ |
| #ifdef DATA_TYPE |
| __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); |
| |
| VEC_DATA_TYPE(DATA_TYPE, 16) |
| accum_value = vload16(0, (__global DATA_TYPE *)accum.ptr); |
| VEC_DATA_TYPE(DATA_TYPE, 16) |
| biases_value = vload16(0, (__global DATA_TYPE *)biases.ptr); |
| accum_value = biases_value + accum_value; |
| |
| // Store result in the accummulate buffer |
| vstore16(accum_value, 0, (__global DATA_TYPE *)accum.ptr); |
| } |
| #endif /* DATA_TYPE */ |
| |
| #ifdef WIDTH_MATRIX_B |
| /** 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_8bit and @ref gemm_transpose1x16 before running the matrix multiplication |
| * |
| * @attention The width of matrix B and the alpha's value need to be passed at compile time using -DWIDTH_MATRIX_B |
| * |
| * @param[in] src0_ptr Pointer to the source matrix. Supported formats: U8 |
| * @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 formats: 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 formats: 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 |
| * @param[in] a_offset Offset to be added to each element of the matrix A |
| * @param[in] b_offset Offset to be added to each element of the matrix B. |
| * @param[in] c_offset Offset to be added to each element of the matrix C. |
| * @param[in] c_mult_int Multiplied with each element of the matrix C. |
| * @param[in] shift Number of bits to shift right the result. |
| */ |
| __kernel void gemm_mm_u8(IMAGE_DECLARATION(src0), |
| IMAGE_DECLARATION(src1), |
| IMAGE_DECLARATION(dst), |
| int a_offset, |
| int b_offset, |
| int c_offset, |
| int c_mult_int, |
| int shift) |
| { |
| /* src_addr.s0 = address of matrix A */ |
| /* src_addr.s1 = address of matrix B */ |
| |
| /* Compute address for matrix A and B */ |
| int2 src_addr = (int2)(get_global_id(1), get_global_id(0)) * (int2)((src0_stride_y), |
| (src1_stride_y)); |
| |
| /* Add offset_first_element_in_bytes */ |
| src_addr = src_addr + ((int2)(src0_offset_first_element_in_bytes, src1_offset_first_element_in_bytes)); |
| |
| /* Compute end row address for matrix B */ |
| int end_row_mtx_b = src_addr.s1 + WIDTH_MATRIX_B; |
| |
| /* Reset accumulators */ |
| int16 c00 = 0.0f; |
| int16 c10 = 0.0f; |
| int16 c20 = 0.0f; |
| int16 c30 = 0.0f; |
| |
| for(; src_addr.s1 <= (end_row_mtx_b - 8); src_addr += (int2)(8, 32)) |
| { |
| /* Load values from matrix A (interleaved) and matrix B (transposed) */ |
| int8 a0 = (int8)a_offset + convert_int8(vload8(0, ((__global uchar *)src0_ptr) + src_addr.s0)); |
| int16 b0 = (int16)b_offset + convert_int16(vload16(0, ((__global uchar *)src1_ptr) + src_addr.s1)); |
| |
| c00 += (int16)a0.s0 * b0; |
| c10 += (int16)a0.s1 * b0; |
| c20 += (int16)a0.s2 * b0; |
| c30 += (int16)a0.s3 * b0; |
| |
| int16 b1 = (int16)b_offset + convert_int16(vload16(0, ((__global uchar *)src1_ptr) + src_addr.s1 + 16)); |
| |
| c00 += (int16)a0.s4 * b1; |
| c10 += (int16)a0.s5 * b1; |
| c20 += (int16)a0.s6 * b1; |
| c30 += (int16)a0.s7 * b1; |
| } |
| |
| for(; src_addr.s1 < end_row_mtx_b; src_addr += (int2)(4, 16)) |
| { |
| /* Load values from matrix A (interleaved) and matrix B (transposed) */ |
| int4 a0 = (int4)a_offset + convert_int4(vload4(0, ((__global uchar *)src0_ptr) + src_addr.s0)); |
| int16 b0 = (int16)b_offset + convert_int16(vload16(0, ((__global uchar *)src1_ptr) + src_addr.s1)); |
| |
| c00 += (int16)a0.s0 * b0; |
| c10 += (int16)a0.s1 * b0; |
| c20 += (int16)a0.s2 * b0; |
| c30 += (int16)a0.s3 * b0; |
| } |
| |
| /* Compute destination address */ |
| Image dst = CONVERT_TO_IMAGE_STRUCT(dst); |
| |
| /* Multiply by the weight of matrix product */ |
| c00 = (((int16)c_offset + c00) * (int16)c_mult_int) >> shift; |
| c10 = (((int16)c_offset + c10) * (int16)c_mult_int) >> shift; |
| c20 = (((int16)c_offset + c20) * (int16)c_mult_int) >> shift; |
| c30 = (((int16)c_offset + c30) * (int16)c_mult_int) >> shift; |
| |
| /* Store 4x16 block */ |
| vstore16(convert_uchar16_sat(c00), 0, (__global uchar *)(offset(&dst, 0, 0))); |
| vstore16(convert_uchar16_sat(c10), 0, (__global uchar *)(offset(&dst, 0, 1))); |
| vstore16(convert_uchar16_sat(c20), 0, (__global uchar *)(offset(&dst, 0, 2))); |
| vstore16(convert_uchar16_sat(c30), 0, (__global uchar *)(offset(&dst, 0, 3))); |
| } |
| #endif /* WIDTH_MATRIX_B */ |
| |
| #if defined(WIDTH_MATRIX_B) && defined(ALPHA) |
| /** 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 |
| * |
| * @attention The width of matrix B and the alpha's value need to be passed at compile time using -DWIDTH_MATRIX_B and -DALPHA |
| * |
| * @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_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_f32_midgard(IMAGE_DECLARATION(src0), |
| IMAGE_DECLARATION(src1), |
| IMAGE_DECLARATION(dst)) |
| { |
| /* src_addr.s0 = address of matrix A */ |
| /* src_addr.s1 = address of matrix B */ |
| |
| /* Compute address for matrix A and B */ |
| int2 src_addr = (int2)(get_global_id(1), get_global_id(0)) * (int2)((src0_stride_y), |
| (src1_stride_y)); |
| |
| /* Add offset_first_element_in_bytes */ |
| src_addr = src_addr + ((int2)(src0_offset_first_element_in_bytes, src1_offset_first_element_in_bytes)); |
| |
| /* Divide by 4 in order to get the src_addr in unit of float */ |
| src_addr = src_addr >> 2; |
| |
| /* Compute end row address for matrix B */ |
| int end_row_mtx_b = src_addr.s1 + WIDTH_MATRIX_B; |
| |
| /* Reset accumulators */ |
| float4 c00 = 0.0f; |
| float4 c10 = 0.0f; |
| float4 c20 = 0.0f; |
| float4 c30 = 0.0f; |
| |
| for(; src_addr.s1 <= (end_row_mtx_b - 8); src_addr += (int2)(8, 8)) |
| { |
| /* Load values from matrix A (interleaved) and matrix B (transposed) */ |
| float4 a0 = vload4(0, ((__global float *)src0_ptr) + src_addr.s0); |
| float4 b0 = vload4(0, ((__global float *)src1_ptr) + src_addr.s1); |
| |
| 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, ((__global float *)src0_ptr) + src_addr.s0 + 4); |
| b0 = vload4(0, ((__global float *)src1_ptr) + src_addr.s1 + 4); |
| |
| c00 += (float4)a0.s0 * b0; |
| c10 += (float4)a0.s1 * b0; |
| c20 += (float4)a0.s2 * b0; |
| c30 += (float4)a0.s3 * b0; |
| } |
| |
| for(; src_addr.s1 < end_row_mtx_b; src_addr += (int2)(4, 4)) |
| { |
| /* Load values from matrix A (interleaved) and matrix B (transposed) */ |
| float4 a0 = vload4(0, ((__global float *)src0_ptr) + src_addr.s0); |
| float4 b0 = vload4(0, ((__global float *)src1_ptr) + src_addr.s1); |
| |
| 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); |
| |
| /* Multiply by the weight of matrix product */ |
| c00 = c00 * (float4)ALPHA; |
| c10 = c10 * (float4)ALPHA; |
| c20 = c20 * (float4)ALPHA; |
| c30 = c30 * (float4)ALPHA; |
| |
| /* Store 4x4 block */ |
| vstore4(c00, 0, (__global float *)(offset(&dst, 0, 0))); |
| vstore4(c10, 0, (__global float *)(offset(&dst, 0, 1))); |
| vstore4(c20, 0, (__global float *)(offset(&dst, 0, 2))); |
| vstore4(c30, 0, (__global float *)(offset(&dst, 0, 3))); |
| } |
| |
| /** This OpenCL kernel is optimised 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 |
| * |
| * @attention The width of matrix B and the alpha's value need to be passed at compile time using -DWIDTH_MATRIX_B and -DALPHA |
| * |
| * @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_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_f32_bifrost(IMAGE_DECLARATION(src0), |
| IMAGE_DECLARATION(src1), |
| IMAGE_DECLARATION(dst)) |
| { |
| // src_addr_a = address of matrix A |
| // src_addr_b = address of matrix B |
| __global float *src_addr_a = (__global float *)(src0_ptr + get_global_id(1) * src0_stride_y + src0_offset_first_element_in_bytes); |
| __global float *src_addr_b = (__global float *)(src1_ptr + get_global_id(0) * 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 + WIDTH_MATRIX_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 - 16); src_addr_a += 16, src_addr_b += 16) |
| { |
| // 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); |
| b0 = vload4(0, src_addr_b + 4); |
| |
| 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); |
| b0 = vload4(0, src_addr_b + 8); |
| |
| 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); |
| b0 = vload4(0, src_addr_b + 12); |
| |
| 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, src_addr_b += 4) |
| { |
| // 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); |
| |
| // 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; |
| |
| barrier(CLK_GLOBAL_MEM_FENCE); |
| |
| // Store 4x4 block |
| vstore4((float4)(c00, c01, c02, c03), 0, (__global float *)(offset(&dst, 0, 0))); |
| vstore4((float4)(c10, c11, c12, c13), 0, (__global float *)(offset(&dst, 0, 1))); |
| vstore4((float4)(c20, c21, c22, c23), 0, (__global float *)(offset(&dst, 0, 2))); |
| vstore4((float4)(c30, c31, c32, c33), 0, (__global float *)(offset(&dst, 0, 3))); |
| } |
| |
| /** 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 |
| * |
| * @attention The width of matrix B and the alpha's value need to be passed at compile time using -DWIDTH_MATRIX_B and -DALPHA |
| * |
| * @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_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_f16(IMAGE_DECLARATION(src0), |
| IMAGE_DECLARATION(src1), |
| IMAGE_DECLARATION(dst)) |
| { |
| /* src_addr.s0 = address of matrix A */ |
| /* src_addr.s1 = address of matrix B */ |
| |
| /* Compute address for matrix A and B */ |
| int2 src_addr = (int2)(get_global_id(1), get_global_id(0)) * (int2)((src0_stride_y), |
| (src1_stride_y)); |
| |
| /* Add offset_first_element_in_bytes */ |
| src_addr = src_addr + ((int2)(src0_offset_first_element_in_bytes, src1_offset_first_element_in_bytes)); |
| |
| /* Divide by 2 in order to get the src_addr in unit of half */ |
| src_addr = src_addr >> 1; |
| |
| /* Compute end row address for matrix B */ |
| int end_row_mtx_b = src_addr.s1 + WIDTH_MATRIX_B; |
| |
| /* Reset accumulators */ |
| half8 c00 = 0.0f; |
| half8 c10 = 0.0f; |
| half8 c20 = 0.0f; |
| half8 c30 = 0.0f; |
| |
| for(; src_addr.s1 <= (end_row_mtx_b - 8); src_addr += (int2)(8, 16)) |
| { |
| /* Load values from matrix A (interleaved) and matrix B (transposed) */ |
| half4 a0 = vload4(0, ((__global half *)src0_ptr) + src_addr.s0); |
| half8 b0 = vload8(0, ((__global half *)src1_ptr) + src_addr.s1); |
| |
| 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, ((__global half *)src0_ptr) + src_addr.s0 + 4); |
| b0 = vload8(0, ((__global half *)src1_ptr) + src_addr.s1 + 8); |
| |
| c00 += (half8)a0.s0 * b0; |
| c10 += (half8)a0.s1 * b0; |
| c20 += (half8)a0.s2 * b0; |
| c30 += (half8)a0.s3 * b0; |
| } |
| |
| for(; src_addr.s1 < end_row_mtx_b; src_addr += (int2)(4, 8)) |
| { |
| /* Load values from matrix A (interleaved) and matrix B (transposed) */ |
| half4 a0 = vload4(0, ((__global half *)src0_ptr) + src_addr.s0); |
| half8 b0 = vload8(0, ((__global half *)src1_ptr) + src_addr.s1); |
| |
| 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); |
| |
| /* Multiply by the weight of matrix product */ |
| c00 = c00 * (half8)ALPHA; |
| c10 = c10 * (half8)ALPHA; |
| c20 = c20 * (half8)ALPHA; |
| c30 = c30 * (half8)ALPHA; |
| |
| /* Store 4x8 block */ |
| vstore8(c00, 0, (__global half *)(offset(&dst, 0, 0))); |
| vstore8(c10, 0, (__global half *)(offset(&dst, 0, 1))); |
| vstore8(c20, 0, (__global half *)(offset(&dst, 0, 2))); |
| vstore8(c30, 0, (__global half *)(offset(&dst, 0, 3))); |
| } |
| |
| #ifdef 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 |
| * |
| * @attention The width of matrix B, the alpha's value and fixed point position need to be passed at compile time using -DWIDTH_MATRIX_B -DALPHA and -DFIXED_POINT_POSITION |
| * |
| * @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_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)) |
| { |
| /* src_addr.s0 = address of matrix A */ |
| /* src_addr.s1 = address of matrix B */ |
| |
| /* Compute address for matrix A and B */ |
| int2 src_addr = (int2)(get_global_id(1), get_global_id(0)) * (int2)((src0_stride_y), |
| (src1_stride_y)); |
| |
| /* Add offset_first_element_in_bytes */ |
| src_addr = src_addr + ((int2)(src0_offset_first_element_in_bytes, src1_offset_first_element_in_bytes)); |
| |
| /* Compute end row address for matrix B */ |
| int end_row_mtx_b = src_addr.s1 + WIDTH_MATRIX_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.s1 <= (end_row_mtx_b - 16); src_addr += (int2)(4, 16)) |
| { |
| /* Load values from matrix A (interleaved) and matrix B (transposed) */ |
| char4 a0 = vload4(0, ((__global char *)src0_ptr) + src_addr.s0); |
| char16 b0 = vload16(0, ((__global char *)src1_ptr) + src_addr.s1); |
| |
| 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)); |
| |
| 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); |
| |
| /* Store 16x4 block */ |
| vstore16(c00_qs8, 0, (__global char *)(offset(&dst, 0, 0))); |
| vstore16(c10_qs8, 0, (__global char *)(offset(&dst, 0, 1))); |
| vstore16(c20_qs8, 0, (__global char *)(offset(&dst, 0, 2))); |
| vstore16(c30_qs8, 0, (__global char *)(offset(&dst, 0, 3))); |
| } |
| #endif /* FIXED_POINT_POSITION */ |
| |
| #ifdef WIDTH_VECTOR_A |
| /** This OpenCL kernel computes the vector by matrix multiplication between the vector A (src0) and matrix B (src1) |
| * |
| * @attention The width of vector A, the width of matrix B and the alpha's value need to be passed at compile time using -DWIDTH_VECTOR_A -DWIDTH_MATRIX_B and -DALPHA |
| * |
| * @attention The input vector 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_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_vm_f32(IMAGE_DECLARATION(src0), |
| IMAGE_DECLARATION(src1), |
| IMAGE_DECLARATION(dst)) |
| { |
| int idx = get_global_id(0) * 4; |
| |
| /* Compute the address for the vector A and matrix B */ |
| int2 src_addr = ((int2)(src0_offset_first_element_in_bytes, src1_offset_first_element_in_bytes)); |
| 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 * 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); |
| |
| /* Multiply by the weight of vector-matrix product */ |
| acc = acc * (float4)ALPHA; |
| |
| vstore4(acc, 0, (__global float *)(offset(&dst, 0, 0))); |
| } |
| |
| /** This OpenCL kernel computes the vector by matrix multiplication between the vector A (src0) and matrix B (src1) |
| * |
| * @attention The width of vector A, the width of matrix B and the alpha's value need to be passed at compile time using -DWIDTH_VECTOR_A -DWIDTH_MATRIX_B and -DALPHA |
| * |
| * @attention The input vector A and matrix B must not be reshaped |
| * |
| * @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_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_vm_f16(IMAGE_DECLARATION(src0), |
| IMAGE_DECLARATION(src1), |
| IMAGE_DECLARATION(dst)) |
| { |
| int idx = get_global_id(0) * 8; |
| |
| /* Compute the address for the vector A and matrix B */ |
| int2 src_addr = ((int2)(src0_offset_first_element_in_bytes, src1_offset_first_element_in_bytes)); |
| src_addr.s1 += idx * sizeof(half); |
| |
| int end_row_vec_a = src_addr.s0 + (WIDTH_VECTOR_A * sizeof(half)); |
| |
| half8 acc = 0.0f; |
| |
| for(; src_addr.s0 <= (end_row_vec_a - 4 * sizeof(half)); src_addr += (int2)(4 * sizeof(half), 4 * src1_stride_y)) |
| { |
| half4 a0 = vload4(0, (__global half *)(src0_ptr + src_addr.s0)); |
| half8 b0 = vload8(0, (__global half *)(src1_ptr + src_addr.s1 + 0 * src1_stride_y)); |
| half8 b1 = vload8(0, (__global half *)(src1_ptr + src_addr.s1 + 1 * src1_stride_y)); |
| half8 b2 = vload8(0, (__global half *)(src1_ptr + src_addr.s1 + 2 * src1_stride_y)); |
| half8 b3 = vload8(0, (__global half *)(src1_ptr + src_addr.s1 + 3 * src1_stride_y)); |
| |
| acc += b0 * (half8)a0.s0; |
| acc += b1 * (half8)a0.s1; |
| acc += b2 * (half8)a0.s2; |
| acc += b3 * (half8)a0.s3; |
| } |
| |
| for(; src_addr.s0 < end_row_vec_a; src_addr += (int2)(sizeof(half), src1_stride_y)) |
| { |
| half a0 = *((__global half *)(src0_ptr + src_addr.s0)); |
| half8 b0 = vload8(0, (__global half *)(src1_ptr + src_addr.s1)); |
| |
| acc += b0 * (half8)a0; |
| } |
| |
| /* Compute destination address */ |
| Image dst = CONVERT_TO_IMAGE_STRUCT(dst); |
| |
| /* Multiply by the weight of vector-matrix product */ |
| acc = acc * (half8)ALPHA; |
| |
| vstore8(acc, 0, (__global half *)(offset(&dst, 0, 0))); |
| } |
| |
| #ifdef FIXED_POINT_POSITION |
| /** This OpenCL kernel computes the vector by matrix multiplication between the vector A (src0) and matrix B (src1) in 8 bit fixed point |
| * |
| * @attention The width of vector A, the width of matrix B, the alpha's value and the fixed point position need to be passed at compile time using -DWIDTH_VECTOR_A -DWIDTH_MATRIX_B, -DALPHA and -DFIXED_POINT_POSITION |
| * |
| * @attention The input vector A and matrix B must not be reshaped |
| * |
| * @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_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_vm_qs8(IMAGE_DECLARATION(src0), |
| IMAGE_DECLARATION(src1), |
| IMAGE_DECLARATION(dst)) |
| { |
| int idx = get_global_id(0) * 16; |
| |
| /* Compute the address for the vector A and matrix B */ |
| int2 src_addr = ((int2)(src0_offset_first_element_in_bytes, src1_offset_first_element_in_bytes)); |
| src_addr.s1 += idx; |
| |
| int end_row_vec_a = src_addr.s0 + WIDTH_VECTOR_A; |
| |
| short8 acc0 = 0; |
| short8 acc1 = 0; |
| |
| /* This for loop performs 4 accumulations per iteration */ |
| for(; src_addr.s0 <= (end_row_vec_a - 4); src_addr += (int2)(4, 4 * src1_stride_y)) |
| { |
| char4 a0 = vload4(0, (__global char *)(src0_ptr + src_addr.s0)); |
| 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)); |
| char16 b2 = vload16(0, (__global char *)(src1_ptr + src_addr.s1 + 2 * src1_stride_y)); |
| char16 b3 = vload16(0, (__global char *)(src1_ptr + src_addr.s1 + 3 * src1_stride_y)); |
| |
| acc0 = mlal_sat_qs8x8(acc0, (char8)a0.s0, b0.s01234567, FIXED_POINT_POSITION); |
| acc0 = mlal_sat_qs8x8(acc0, (char8)a0.s1, b1.s01234567, FIXED_POINT_POSITION); |
| acc0 = mlal_sat_qs8x8(acc0, (char8)a0.s2, b2.s01234567, FIXED_POINT_POSITION); |
| acc0 = mlal_sat_qs8x8(acc0, (char8)a0.s3, b3.s01234567, FIXED_POINT_POSITION); |
| |
| acc1 = mlal_sat_qs8x8(acc1, (char8)a0.s0, b0.s89ABCDEF, FIXED_POINT_POSITION); |
| acc1 = mlal_sat_qs8x8(acc1, (char8)a0.s1, b1.s89ABCDEF, FIXED_POINT_POSITION); |
| acc1 = mlal_sat_qs8x8(acc1, (char8)a0.s2, b2.s89ABCDEF, FIXED_POINT_POSITION); |
| acc1 = mlal_sat_qs8x8(acc1, (char8)a0.s3, b3.s89ABCDEF, FIXED_POINT_POSITION); |
| } |
| |
| /* 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)); |
| char16 b0 = vload16(0, (__global char *)(src1_ptr + src_addr.s1)); |
| |
| acc0 = mlal_sat_qs8x8(acc0, (char8)a0, b0.s01234567, FIXED_POINT_POSITION); |
| acc1 = mlal_sat_qs8x8(acc1, (char8)a0, b0.s89ABCDEF, FIXED_POINT_POSITION); |
| } |
| |
| /* Compute destination address */ |
| Image dst = CONVERT_TO_IMAGE_STRUCT(dst); |
| |
| /* Multiply by the weight of matrix product */ |
| char16 acc_qs8 = convert_char16_sat((short16)(acc0, acc1)); |
| |
| acc_qs8 = mul_sat_qs8x16(acc_qs8, (char16)ALPHA, FIXED_POINT_POSITION); |
| |
| /* Store 16 values */ |
| vstore16(acc_qs8, 0, (__global char *)(offset(&dst, 0, 0))); |
| } |
| #endif /* FIXED_POINT_POSITION */ |
| #endif /* WIDTH_VECTOR_A */ |
| #endif /* WIDTH_MATRIX_B && ALPHA */ |
| |
| #ifdef 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: |
| * |
| * @attention 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: |
| * |
| * @attention 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); |
| } |
| |
| #ifdef 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: |
| * |
| * @attention 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); |
| } |
| #endif /* FIXED_POINT_POSITION */ |
| #endif /* BETA */ |
| |
| #ifdef 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 |
| * |
| * @attention The width of A need to be passed at compile time using -DWIDTH_VECTOR_A |
| * |
| * @attention 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 * 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 /* WIDTH_VECTOR_A */ |