diff options
Diffstat (limited to 'src/core/CL/cl_kernels/gemm.cl')
| -rw-r--r-- | src/core/CL/cl_kernels/gemm.cl | 215 |
1 files changed, 209 insertions, 6 deletions
diff --git a/src/core/CL/cl_kernels/gemm.cl b/src/core/CL/cl_kernels/gemm.cl index d25621db64..7ac421b7b6 100644 --- a/src/core/CL/cl_kernels/gemm.cl +++ b/src/core/CL/cl_kernels/gemm.cl @@ -888,7 +888,93 @@ __kernel void gemm_mm_qs8(IMAGE_DECLARATION(src0), vstore16(c20_qs8, 0, (__global char *)(offset(&dst, 0, 2))); vstore16(c30_qs8, 0, (__global char *)(offset(&dst, 0, 3))); } -#endif /* FIXED_POINT_POSITION */ + +/** This OpenCL kernel computes the matrix multiplication between matrix A (src0) and matrix B (src1) in 16 bit fixed point precision + * Matrix A and matrix B must be reshaped respectively with @ref gemm_interleave4x4_16bit and @ref gemm_transpose1x8 before running the matrix multiplication + * + * @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 16 bit fixed point format + * + * @param[in] src0_ptr Pointer to the source matrix. Supported data types: QS16 + * @param[in] src0_stride_x Stride of the source matrix in X dimension (in bytes) + * @param[in] src0_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] src0_stride_y Stride of the source matrix in Y dimension (in bytes) + * @param[in] src0_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src0_offset_first_element_in_bytes The offset of the first element in the source matrix + * @param[in] src1_ptr Pointer to the source matrix. Supported data types: same as @p src0_ptr + * @param[in] src1_stride_x Stride of the source matrix in X dimension (in bytes) + * @param[in] src1_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] src1_stride_y Stride of the source matrix in Y dimension (in bytes) + * @param[in] src1_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src1_offset_first_element_in_bytes The offset of the first element in the source matrix + * @param[out] dst_ptr Pointer to the destination matrix Supported data types: same as @p src0_ptr + * @param[in] dst_stride_x Stride of the destination matrix in X dimension (in bytes) + * @param[in] dst_step_x dst_gx_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] dst_stride_y Stride of the destination matrix in Y dimension (in bytes) + * @param[in] dst_step_y dst_gx_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination matrix + */ +__kernel void gemm_mm_qs16(IMAGE_DECLARATION(src0), + IMAGE_DECLARATION(src1), + IMAGE_DECLARATION(dst)) +{ + /* 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 short */ + 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 */ + int8 c00 = 0.0f; + int8 c10 = 0.0f; + int8 c20 = 0.0f; + int8 c30 = 0.0f; + + /* This for loop performs 1 accumulation for each iteration */ + for(; src_addr.s1 <= (end_row_mtx_b - 8); src_addr += (int2)(4, 8)) + { + /* Load values from matrix A (interleaved) and matrix B (transposed) */ + short4 a0 = vload4(0, ((__global short *)src0_ptr) + src_addr.s0); + short8 b0 = vload8(0, ((__global short *)src1_ptr) + src_addr.s1); + + c00 = mlal_sat_qs16x8(c00, (short8)a0.s0, b0, FIXED_POINT_POSITION); + c10 = mlal_sat_qs16x8(c10, (short8)a0.s1, b0, FIXED_POINT_POSITION); + c20 = mlal_sat_qs16x8(c20, (short8)a0.s2, b0, FIXED_POINT_POSITION); + c30 = mlal_sat_qs16x8(c30, (short8)a0.s3, b0, FIXED_POINT_POSITION); + } + + /* Compute destination address */ + Image dst = CONVERT_TO_IMAGE_STRUCT(dst); + + /* Multiply by the weight of matrix product */ + short8 c00_qs16 = convert_short8_sat(c00); + short8 c10_qs16 = convert_short8_sat(c10); + short8 c20_qs16 = convert_short8_sat(c20); + short8 c30_qs16 = convert_short8_sat(c30); + + c00_qs16 = mul_sat_qs16x8(c00_qs16, (short8)ALPHA, FIXED_POINT_POSITION); + c10_qs16 = mul_sat_qs16x8(c10_qs16, (short8)ALPHA, FIXED_POINT_POSITION); + c20_qs16 = mul_sat_qs16x8(c20_qs16, (short8)ALPHA, FIXED_POINT_POSITION); + c30_qs16 = mul_sat_qs16x8(c30_qs16, (short8)ALPHA, FIXED_POINT_POSITION); + + /* Store 8x4 block */ + vstore8(c00_qs16, 0, (__global short *)(offset(&dst, 0, 0))); + vstore8(c10_qs16, 0, (__global short *)(offset(&dst, 0, 1))); + vstore8(c20_qs16, 0, (__global short *)(offset(&dst, 0, 2))); + vstore8(c30_qs16, 0, (__global short *)(offset(&dst, 0, 3))); +} +#endif // defined(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) @@ -1111,9 +1197,87 @@ __kernel void gemm_vm_qs8(IMAGE_DECLARATION(src0), /* 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 */ + +/** This OpenCL kernel computes the vector by matrix multiplication between the vector A (src0) and matrix B (src1) in 16 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 16 bit fixed point format + * + * @param[in] src0_ptr Pointer to the source matrix. Supported data types: QS16 + * @param[in] src0_stride_x Stride of the source matrix in X dimension (in bytes) + * @param[in] src0_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] src0_stride_y Stride of the source matrix in Y dimension (in bytes) + * @param[in] src0_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src0_offset_first_element_in_bytes The offset of the first element in the source matrix + * @param[in] src1_ptr Pointer to the source matrix. Supported data types: same as @p src0_ptr + * @param[in] src1_stride_x Stride of the source matrix in X dimension (in bytes) + * @param[in] src1_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] src1_stride_y Stride of the source matrix in Y dimension (in bytes) + * @param[in] src1_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src1_offset_first_element_in_bytes The offset of the first element in the source matrix + * @param[out] dst_ptr Pointer to the destination matrix Supported data types: same as @p src0_ptr + * @param[in] dst_stride_x Stride of the destination matrix in X dimension (in bytes) + * @param[in] dst_step_x dst_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_qs16(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(short); + + int end_row_vec_a = src_addr.s0 + (WIDTH_VECTOR_A * sizeof(short)); + + /* Reset accumulator */ + int8 acc0 = 0; + + /* This for loop performs 4 accumulations per iteration */ + for(; src_addr.s0 <= (end_row_vec_a - 4 * sizeof(short)); src_addr += (int2)(4 * sizeof(short), 4 * src1_stride_y)) + { + short4 a0 = vload4(0, (__global short *)(src0_ptr + src_addr.s0)); + short8 b0 = vload8(0, (__global short *)(src1_ptr + src_addr.s1 + 0 * src1_stride_y)); + short8 b1 = vload8(0, (__global short *)(src1_ptr + src_addr.s1 + 1 * src1_stride_y)); + short8 b2 = vload8(0, (__global short *)(src1_ptr + src_addr.s1 + 2 * src1_stride_y)); + short8 b3 = vload8(0, (__global short *)(src1_ptr + src_addr.s1 + 3 * src1_stride_y)); + + acc0 = mlal_sat_qs16x8(acc0, (short8)a0.s0, b0, FIXED_POINT_POSITION); + acc0 = mlal_sat_qs16x8(acc0, (short8)a0.s1, b1, FIXED_POINT_POSITION); + acc0 = mlal_sat_qs16x8(acc0, (short8)a0.s2, b2, FIXED_POINT_POSITION); + acc0 = mlal_sat_qs16x8(acc0, (short8)a0.s3, b3, FIXED_POINT_POSITION); + } + + /* Left-over accumulations */ + for(; src_addr.s0 < end_row_vec_a; src_addr += (int2)(sizeof(short), src1_stride_y)) + { + short a0 = *((__global short *)(src0_ptr + src_addr.s0)); + short8 b0 = vload8(0, (__global short *)(src1_ptr + src_addr.s1)); + + acc0 = mlal_sat_qs16x8(acc0, (short8)a0, b0, FIXED_POINT_POSITION); + } + + /* Compute destination address */ + Image dst = CONVERT_TO_IMAGE_STRUCT(dst); + + /* Multiply by the weight of matrix product */ + short8 acc_qs16 = convert_short8_sat(acc0); + + acc_qs16 = mul_sat_qs16x8(acc_qs16, (short8)ALPHA, FIXED_POINT_POSITION); + + /* Store 8 values */ + vstore8(acc_qs16, 0, (__global short *)(offset(&dst, 0, 0))); +} +#endif /* defined(FIXED_POINT_POSITION) */ +#endif /* defined(WIDTH_VECTOR_A) */ +#endif /* defined(WIDTH_MATRIX_B) && defined(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: @@ -1229,8 +1393,47 @@ __kernel void gemm_ma_qs8(IMAGE_DECLARATION(src), /* Store final result in axb matrix */ vstore16(out, 0, (__global char *)dst.ptr); } -#endif /* FIXED_POINT_POSITION */ -#endif /* BETA */ + +/** This OpenCL kernel performs the in-place matrix addition between 2 matrices in 16 bit fixed point taking into account that the second matrix might be weighted by a scalar value beta: + * + * @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 16 bit fixed point format + * + * @param[in] src_ptr Pointer to the source matrix. Supported data types: QS16 + * @param[in] src_stride_x Stride of the source matrix in X dimension (in bytes) + * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] src_stride_y Stride of the source matrix in Y dimension (in bytes) + * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source matrix + * @param[out] dst_ptr Pointer to the destination matrix Supported data types: same as @p src_ptr + * @param[in] dst_stride_x Stride of the destination matrix in X dimension (in bytes) + * @param[in] dst_step_x dst_gx_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] dst_stride_y Stride of the destination matrix in Y dimension (in bytes) + * @param[in] dst_step_y dst_gx_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination matrix + */ +__kernel void gemm_ma_qs16(IMAGE_DECLARATION(src), + IMAGE_DECLARATION(dst)) +{ + /* Compute source and destination addresses */ + Image src = CONVERT_TO_IMAGE_STRUCT(src); + Image dst = CONVERT_TO_IMAGE_STRUCT(dst); + + /* Load values from A x B */ + short8 alpha_ab = vload8(0, (__global short *)dst.ptr); + + /* Load values from Matrix C */ + short8 c = vload8(0, (__global short *)src.ptr); + + /* Computes alpha * axb + beta * c */ + short8 out = mla_sat_qs16x8(alpha_ab, (short8)BETA, c, FIXED_POINT_POSITION); + + /* Store final result in axb matrix */ + vstore8(out, 0, (__global short *)dst.ptr); +} +#endif /* defined(FIXED_POINT_POSITION) */ +#endif /* defined(BETA) */ #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 |