From 6ff3b19ee6120edf015fad8caab2991faa3070af Mon Sep 17 00:00:00 2001 From: Anthony Barbier Date: Mon, 4 Sep 2017 18:44:23 +0100 Subject: COMPMID-344 Updated doxygen Change-Id: I32f7b84daa560e460b77216add529c8fa8b327ae --- src/core/CL/cl_kernels/convolution_layer.cl | 241 ++++++++++++++++++++++++++++ 1 file changed, 241 insertions(+) create mode 100644 src/core/CL/cl_kernels/convolution_layer.cl (limited to 'src/core/CL/cl_kernels/convolution_layer.cl') diff --git a/src/core/CL/cl_kernels/convolution_layer.cl b/src/core/CL/cl_kernels/convolution_layer.cl new file mode 100644 index 0000000000..bd5dfaff68 --- /dev/null +++ b/src/core/CL/cl_kernels/convolution_layer.cl @@ -0,0 +1,241 @@ +/* + * 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 reshapes the tensor's low three dimensions to single column + * + * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. 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] dst_ptr Pointer to the destination tensor. Same as input + * @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_stride_y Stride of the destination tensor in Y dimension (in bytes) + * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + * @param[in] bias_ptr Pointer to the bias tensor. Same as input + * @param[in] bias_stride_x Stride of the bias tensor in X dimension (in bytes) + * @param[in] bias_step_x bias_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] bias_offset_first_element_in_bytes The offset of the first element in the source tensor + * @param[in] width The width of the input tensor + * @param[in] height The height of the input tensor + * @param[in] depth The depth of the input tensor + * @param[in] total_filters Total number of filters. 4th dimension of the weights matrix + */ +__kernel void reshape_to_columns( + TENSOR3D_DECLARATION(src), + IMAGE_DECLARATION(dst), +#if defined HAS_BIAS + VECTOR_DECLARATION(bias), +#endif + uint width, uint height, uint depth, uint total_filters) +{ + Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); + bool is_last_thread = (get_global_id(0) == (get_global_size(0) - 1) && get_global_id(1) == (get_global_size(1) - 1) && get_global_id(2) == (get_global_size(2) - 1)); + + __global uchar *tmp_src_ptr = src.ptr; + __global uchar *tmp_dst_ptr = dst_ptr + dst_offset_first_element_in_bytes + get_global_id(0) * dst_stride_y + get_global_id(1) * width * dst_stride_y + get_global_id( + 2) * width * height * dst_stride_y; +#if defined HAS_BIAS + __global uchar *tmp_bias_ptr = bias_ptr + bias_offset_first_element_in_bytes; +#endif + + if(is_last_thread) + { + for(uint i = 0; i < total_filters; ++i) + { + *((__global DATA_TYPE *)tmp_dst_ptr) = *((__global DATA_TYPE *)tmp_src_ptr); + +#if defined HAS_BIAS + *((__global DATA_TYPE *)(tmp_dst_ptr + dst_stride_y)) = *((__global DATA_TYPE *)(tmp_bias_ptr)); + tmp_bias_ptr += bias_stride_x; +#endif + tmp_src_ptr += depth * src_stride_z; + tmp_dst_ptr += dst_stride_x; + } + } + else + { + for(uint i = 0; i < total_filters; ++i) + { + *((__global DATA_TYPE *)tmp_dst_ptr) = *((__global DATA_TYPE *)tmp_src_ptr); + tmp_src_ptr += depth * src_stride_z; + tmp_dst_ptr += dst_stride_x; + } + } +} + +/** This kernel performs a reshaping of the input tensor to a tensor used to perform convolution using GEMM. + * + * @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float + * @note In case biases will be added to the convolution -DHAS_BIAS has to be passed to append the final matrix with 1 in each row. + * + * @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 Z 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] dst_ptr Pointer to the destination tensor. Supported data types: F16, F32 + * @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_stride_y Stride of the destination tensor in Y dimension (in bytes) + * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + * @param[in] kernel_size The convolution kernel size + * @param[in] kernel_depth The kernel depth + * @param[in] width The output tensor width + * @param[in] input_dims The input tensor dimensions + * @param[in] strides The strides of the im2col operation + * @param[in] paddings The input tensor paddings + */ +__kernel void im2col_generic( + TENSOR3D_DECLARATION(src), + IMAGE_DECLARATION(dst), + int kernel_size, + int kernel_depth, + int width, + int2 input_dims, + int2 strides, + int2 paddings) +{ + Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); + Image dst = CONVERT_TO_IMAGE_STRUCT_NO_STEP(dst); + + // Determine output index + uint idx = (get_global_id(1) * width + get_global_id(0)) * dst.stride_y; + __global uchar *output_ptr = dst.ptr + idx; + + // Determine current input index + const int top_left_x = get_global_id(0) * strides.x - paddings.x; + const int top_left_y = get_global_id(1) * strides.y - paddings.y; + + // Linearize convolution elements + for(int d = 0; d < kernel_depth; ++d) + { + for(int y = top_left_y, y_e = top_left_y + kernel_size; y < y_e; ++y) + { + for(int x = top_left_x, x_e = top_left_x + kernel_size; x < x_e; ++x, output_ptr += dst.stride_x) + { + if(x < 0 || x >= input_dims.x || y < 0 || y >= input_dims.y) + { + *((__global DATA_TYPE *)output_ptr) = 0; + } + else + { + *((__global DATA_TYPE *)output_ptr) = *((__global DATA_TYPE *)(tensor3D_offset(&src, x, y, d))); + } + } + } + } + +#if defined HAS_BIAS + *((__global DATA_TYPE *)output_ptr) = 1; +#endif +} + +/** This kernel performs a reshaping of the output of the convolution layer. + * + * @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float + * + * @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_offset_first_element_in_bytes The offset of the first element in the source tensor + * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: F16, F32 + * @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_stride_y Stride of the destination tensor in Y dimension (in bytes) + * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) + * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + * @param[in] width The output tensor width + */ +__kernel void col2im( + IMAGE_DECLARATION(src), + TENSOR3D_DECLARATION(dst), + uint width) +{ + Image src = CONVERT_TO_IMAGE_STRUCT(src); + Tensor3D dst = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(dst); + + int idx = get_global_id(0) * dst.stride_z + (get_global_id(1) / width) * dst.stride_y + (get_global_id(1) % width) * dst.stride_x; + __global uchar *tmp_out_ptr = dst.ptr + idx; + *((__global DATA_TYPE *)tmp_out_ptr) = *((__global DATA_TYPE *)(src.ptr)); +} + +/** This kernel reshapes the tensor's low three dimensions to single row for GEMM operation + * + * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=float + * @note In case biases will be added in late stage, -DHAS_BIAS has to be passed to append the final matrix with 1 in each row. + * + * @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] dst_ptr Pointer to the destination tensor. Same as input. + * @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 + * @param[in] width The width of the input tensor + * @param[in] height The height of the input tensor + */ +__kernel void im2col_reduced( + TENSOR3D_DECLARATION(src), + VECTOR_DECLARATION(dst), + uint width, uint height) +{ + Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); + + const uint image_size = width * height; + + __global uchar *tmp_out_ptr = dst_ptr + dst_offset_first_element_in_bytes + (get_global_id(0) + get_global_id(1) * width + get_global_id(2) * image_size) * dst_stride_x; + + *((__global DATA_TYPE *)tmp_out_ptr) = *((__global DATA_TYPE *)src.ptr); + +#if defined HAS_BIAS + // If it is the last thread in the 3 dimensional workgroup + if(get_global_id(0) == (get_global_size(0) - 1) && get_global_id(1) == (get_global_size(1) - 1) && get_global_id(2) == (get_global_size(2) - 1)) + { + tmp_out_ptr += dst_stride_x; + *((__global DATA_TYPE *)tmp_out_ptr) = (DATA_TYPE)1; + } +#endif +} -- cgit v1.2.1