From 04f089cbcb4407e8d2883525edb661ba15ea922d Mon Sep 17 00:00:00 2001 From: Michalis Spyrou Date: Tue, 8 Aug 2017 17:42:38 +0100 Subject: COMPMID-476 L2 Normalization for CL Change-Id: I88f87173645880eb823916c5d4ac884c372a4fb4 Reviewed-on: http://mpd-gerrit.cambridge.arm.com/83269 Reviewed-by: Anthony Barbier Tested-by: Kaizen --- src/core/CL/kernels/CLReductionOperationKernel.cpp | 139 +++++++++++++++++++++ 1 file changed, 139 insertions(+) create mode 100644 src/core/CL/kernels/CLReductionOperationKernel.cpp (limited to 'src/core/CL/kernels/CLReductionOperationKernel.cpp') diff --git a/src/core/CL/kernels/CLReductionOperationKernel.cpp b/src/core/CL/kernels/CLReductionOperationKernel.cpp new file mode 100644 index 0000000000..7595d8e79b --- /dev/null +++ b/src/core/CL/kernels/CLReductionOperationKernel.cpp @@ -0,0 +1,139 @@ +/* + * 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 "arm_compute/core/CL/kernels/CLReductionOperationKernel.h" + +#include "arm_compute/core/AccessWindowStatic.h" +#include "arm_compute/core/CL/CLHelpers.h" +#include "arm_compute/core/CL/CLKernelLibrary.h" +#include "arm_compute/core/CL/ICLTensor.h" +#include "arm_compute/core/FixedPoint.h" +#include "arm_compute/core/Helpers.h" +#include "arm_compute/core/TensorInfo.h" +#include "arm_compute/core/Utils.h" +#include "arm_compute/core/Validate.h" +#include "arm_compute/core/Window.h" + +#include "support/ToolchainSupport.h" + +using namespace arm_compute; + +CLReductionOperationKernel::CLReductionOperationKernel() + : _input(nullptr), _output(nullptr), _reduction_axis(0), _op(ReductionOperation::SUM_SQUARE), _border_size() +{ +} + +BorderSize CLReductionOperationKernel::border_size() const +{ + return _border_size; +} + +void CLReductionOperationKernel::configure(const ICLTensor *input, ICLTensor *output, unsigned int axis, ReductionOperation op) +{ + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32); + ARM_COMPUTE_ERROR_ON_NULLPTR(output); + + // Output tensor auto initialization if not yet initialized + TensorShape output_shape{ input->info()->tensor_shape() }; + output_shape.set(axis, 1); + auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type(), input->info()->fixed_point_position()); + + ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); + ARM_COMPUTE_ERROR_ON_MSG(axis >= TensorShape::num_max_dimensions, "Reduction axis greater than max number of dimensions"); + ARM_COMPUTE_ERROR_ON_MSG(axis > 0, "Unsupported reduction axis, Supported axis is 0"); + + const unsigned int num_elems_processed_per_iteration = 16; + const unsigned int border_width = ((input->info()->dimension(0) % 128) != 0) ? 128 - input->info()->dimension(0) % 128 : 0; + + _input = input; + _output = output; + _reduction_axis = axis; + _op = op; + _lws_hint = cl::NDRange(8); + _border_size = BorderSize(0, border_width, 0, 0); + + // Set build options + std::set build_opts; + build_opts.emplace(("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type()))); + build_opts.emplace(("-DVEC_SIZE=" + support::cpp11::to_string(num_elems_processed_per_iteration))); + if(is_data_type_fixed_point(input->info()->data_type())) + { + build_opts.emplace("-DFIXED_POINT_POSITION=" + support::cpp11::to_string(input->info()->fixed_point_position())); + } + + switch(op) + { + case ReductionOperation::SUM_SQUARE: + build_opts.emplace(("-DOPERATION=square_sum")); + break; + case ReductionOperation::SUM: + build_opts.emplace(("-DOPERATION=sum")); + break; + default: + ARM_COMPUTE_ERROR("Unsupported reduction operation"); + } + + // Create kernel + _kernel = static_cast(CLKernelLibrary::get().create_kernel("reduction_operation", build_opts)); + + // Configure kernel window + Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration)); + + AccessWindowStatic input_access(input->info(), 0, 0, input->info()->dimension(0) + border_width, 1); + AccessWindowHorizontal output_access(output->info(), 0, 1); + + update_window_and_padding(win, input_access, output_access); + output_access.set_valid_region(win, output->info()->valid_region()); + + ICLKernel::configure(win); +} + +void CLReductionOperationKernel::run(const Window &window, cl::CommandQueue &queue) +{ + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window); + + // Set out window + Window out_window(window); + out_window.set(Window::DimX, Window::Dimension(0, 0, 0)); + + // Get first input and output slices + Window in_slice = window.first_slice_window_1D(); + Window out_slice = out_window.first_slice_window_1D(); + + // Reshape window + const unsigned int border_width = ((in_slice.x().end() % 128) != 0) ? 128 - in_slice.x().end() % 128 : 0; + in_slice.set(Window::DimX, Window::Dimension(in_slice.x().start(), in_slice.x().end() + border_width, in_slice.x().step())); + + // Set local sums buffer + _kernel.setArg(num_arguments_per_1D_tensor() * 2, _lws_hint[0], nullptr); + + do + { + unsigned int idx = 0; + add_1D_tensor_argument(idx, _input, in_slice); + add_1D_tensor_argument(idx, _output, out_slice); + enqueue(queue, *this, in_slice, _lws_hint); + } + while(window.slide_window_slice_1D(in_slice) && window.slide_window_slice_1D(out_slice)); +} -- cgit v1.2.1