From 9fe414430c3c989b1cdc79d41e031495aed2cb7c Mon Sep 17 00:00:00 2001 From: Giorgio Arena Date: Wed, 23 Aug 2017 16:36:24 +0100 Subject: COMPMID-452 CL Generic Depthwise Convolution implementation. Change-Id: I115e48fe6ce5e281f3791aa5d80fdc754cdd2b5e Reviewed-on: http://mpd-gerrit.cambridge.arm.com/85082 Tested-by: Kaizen Reviewed-by: Gian Marco Iodice --- src/core/CL/cl_kernels/gemv.cl | 111 +++++++++++++++++++++++++++++++++++++++++ 1 file changed, 111 insertions(+) create mode 100644 src/core/CL/cl_kernels/gemv.cl (limited to 'src/core/CL/cl_kernels/gemv.cl') diff --git a/src/core/CL/cl_kernels/gemv.cl b/src/core/CL/cl_kernels/gemv.cl new file mode 100644 index 0000000000..76128f7033 --- /dev/null +++ b/src/core/CL/cl_kernels/gemv.cl @@ -0,0 +1,111 @@ +/* + * 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 kernel applies dot product to each plane on the input tensor and the corrispective column of the reshaped weight tensor. + * + * @note Datatype and source width and height should be given as a preprocessor argument using -DDATA_TYPE=type, -DSRC_WIDTH=width and -DSRC_HEIGHT=height. e.g. -DDATA_TYPE=short + * + * @param[in] src_ptr Pointer to the source tensor. Supported data types: F16/F32 + * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) + * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) + * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) + * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor + * @param[out] weights_ptr Pointer to the weights tensor. Same as @p src_ptr + * @param[in] weights_stride_x Stride of the weights tensor in X dimension (in bytes) + * @param[in] weights_step_x weights_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] weights_stride_y Stride of the weights tensor in Y dimension (in bytes) + * @param[in] weights_step_y weights_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] weights_offset_first_element_in_bytes The offset of the first element in the weights tensor + * @param[out] dst_ptr Pointer to the destination tensor. Same as @p src_ptr + * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) + * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void gemm_mv(TENSOR3D_DECLARATION(src), IMAGE_DECLARATION(weights), VECTOR_DECLARATION(dst)) +{ + Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); + + int y = get_global_id(1) * 4; + int z = get_global_id(2); + + __global uchar *current_weights = weights_ptr + weights_offset_first_element_in_bytes + z * weights_stride_y; + __global uchar *input_ptr = src.ptr; + + DATA_TYPE acc0 = (DATA_TYPE)0; + DATA_TYPE acc1 = (DATA_TYPE)0; + DATA_TYPE acc2 = (DATA_TYPE)0; + DATA_TYPE acc3 = (DATA_TYPE)0; + + // This kernel handle 4 rows in per thread so that it can reuse the weights + for(int i = 0; i < SRC_WIDTH; i += 4) + { + VEC_DATA_TYPE(DATA_TYPE, 4) + weights = vload4(0, (__global DATA_TYPE *)(current_weights + i * weights_stride_x)); + + int4 offset = (int4)i * (int4)src_stride_x + (int4)(0, 1, 2, 3) * (int4)src_stride_y; + + VEC_DATA_TYPE(DATA_TYPE, 4) + tmp0 = vload4(0, (__global DATA_TYPE *)(input_ptr + offset.s0)); + VEC_DATA_TYPE(DATA_TYPE, 4) + tmp1 = vload4(0, (__global DATA_TYPE *)(input_ptr + offset.s1)); + VEC_DATA_TYPE(DATA_TYPE, 4) + tmp2 = vload4(0, (__global DATA_TYPE *)(input_ptr + offset.s2)); + VEC_DATA_TYPE(DATA_TYPE, 4) + tmp3 = vload4(0, (__global DATA_TYPE *)(input_ptr + offset.s3)); + + acc0 += dot(weights, tmp0); + acc1 += dot(weights, tmp1); + acc2 += dot(weights, tmp2); + acc3 += dot(weights, tmp3); + } + + __global uchar *output_ptr = dst_ptr + dst_offset_first_element_in_bytes + (y + z * SRC_HEIGHT) * dst_stride_x; + + int rows_left = SRC_HEIGHT - (y + 4); + + // This if check is used to handle the last few rows when it can't be divided by the four + if(rows_left >= 0) + { + VEC_DATA_TYPE(DATA_TYPE, 4) + out = (VEC_DATA_TYPE(DATA_TYPE, 4))(acc0, acc1, acc2, acc3); + vstore4(out, 0, (__global DATA_TYPE *)output_ptr); + } + else + { + switch(rows_left) + { + case -1: // three rows left; one is padding + *((__global DATA_TYPE *)(output_ptr + 2 * dst_stride_x)) = acc2; + case -2: // two rows left; two are padding + *((__global DATA_TYPE *)(output_ptr + 1 * dst_stride_x)) = acc1; + case -3: // one row left; three are padding + *((__global DATA_TYPE *)(output_ptr + 0 * dst_stride_x)) = acc0; + break; + } + } +} -- cgit v1.2.1