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Diffstat (limited to 'src/core/CL/cl_kernels/gemm.cl')
| -rw-r--r-- | src/core/CL/cl_kernels/gemm.cl | 1099 |
1 files changed, 1099 insertions, 0 deletions
diff --git a/src/core/CL/cl_kernels/gemm.cl b/src/core/CL/cl_kernels/gemm.cl new file mode 100644 index 0000000000..caf6e3ffd8 --- /dev/null +++ b/src/core/CL/cl_kernels/gemm.cl @@ -0,0 +1,1099 @@ +/* + * 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 "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: 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: F32 + * @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_f32(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)); + + float4 b0 = vload4(0, (__global float *)src.ptr); + + vstore4(b0, 0, (__global float *)(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: 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: F16 + * @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_f16(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)); + + half8 b0 = vload8(0, (__global half *)src.ptr); + + vstore8(b0, 0, (__global half *)(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 + * @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: U8 + * @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_u8(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: U32/S32/F32 + * @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/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: U16/S16/F16 + * @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 + * @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: U8/S8 + * @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 + * + * @param[in, out] accum_ptr Pointer to the accumulate tensor. Supported data type: 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 input. + * @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 + */ +__kernel void gemm_accumulate_biases_f32( + IMAGE_DECLARATION(accum), + VECTOR_DECLARATION(biases)) +{ + Image accum = CONVERT_TO_IMAGE_STRUCT(accum); + Vector biases = CONVERT_TO_VECTOR_STRUCT(biases); + + float4 accum_value = vload4(0, (__global float *)accum.ptr); + float4 biases_value = vload4(0, (__global float *)biases.ptr); + accum_value = biases_value + accum_value; + + // Store result in the accummulate buffer + vstore4(accum_value, 0, (__global float *)accum.ptr); +} + +/** This kernel accumulates each row with the biases vector + * + * @param[in, out] accum_ptr Pointer to the accumulate tensor. Supported data type: F16 + * @param[in] accum_stride_x Stride of the accumulate 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 input. + * @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 + */ +__kernel void gemm_accumulate_biases_f16( + IMAGE_DECLARATION(accum), + VECTOR_DECLARATION(biases)) +{ + Image accum = CONVERT_TO_IMAGE_STRUCT(accum); + Vector biases = CONVERT_TO_VECTOR_STRUCT(biases); + + half8 accum_value = vload8(0, (__global half *)accum.ptr); + half8 biases_value = vload8(0, (__global half *)biases.ptr); + accum_value = biases_value + accum_value; + + // Store result in the accummulate buffer + vstore8(accum_value, 0, (__global half *)accum.ptr); +} + +#if(defined 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_u8 and @ref gemm_transpose1x16_u8 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: U8 + * @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: U8 + * @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 + +#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_f32 and @ref gemm_transpose1x4_f32 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: F32 + * @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: F32 + * @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_f32 and @ref gemm_transpose1x4_f32 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: F32 + * @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: F32 + * @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_f16 and @ref gemm_transpose1x8_f16 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: F16 + * @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: F16 + * @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))); +} + +#if(defined 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: F32 + * @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: F32 + * @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: F16 + * @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: F16 + * @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))); +} +#endif /* (defined WIDTH_VECTOR_A) */ +#endif /* (defined WIDTH_MATRIX_B && defined ALPHA) */ + +#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: + * + * @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: F32 + * @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: + * + * @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: F16 + * @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); +} +#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 + * + * @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: F32 + * @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: F32 + * @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 /* (defined WIDTH_VECTOR_A) */ |