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/kernels/CLSoftmaxLayerKernel.cpp | 216 +++++++++++++++++++++++++++ 1 file changed, 216 insertions(+) create mode 100644 src/core/CL/kernels/CLSoftmaxLayerKernel.cpp (limited to 'src/core/CL/kernels/CLSoftmaxLayerKernel.cpp') diff --git a/src/core/CL/kernels/CLSoftmaxLayerKernel.cpp b/src/core/CL/kernels/CLSoftmaxLayerKernel.cpp new file mode 100644 index 0000000000..0470d5243e --- /dev/null +++ b/src/core/CL/kernels/CLSoftmaxLayerKernel.cpp @@ -0,0 +1,216 @@ +/* + * 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/CLSoftmaxLayerKernel.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/CL/OpenCL.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 +#include + +using namespace arm_compute; + +void CLLogits1DMaxKernel::configure(const ICLTensor *input, ICLTensor *output) +{ + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32); + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::F16, DataType::F32); + ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); + + _input = input; + _output = output; + + // The kernel loops over all elements in steps of 16 + const unsigned int num_elems_processed_per_iteration = ceil_to_multiple(input->info()->dimension(0), 16); + + // Set build options + std::set build_opts{ "-DUSE_" + string_from_data_type(input->info()->data_type()) }; + + // Tell the kernel that the width is not a multiple of 16 + if((input->info()->dimension(0) % max_cl_vector_width) != 0) + { + build_opts.emplace("-DNON_MULTIPLE_OF_16"); + } + + // Create kernel + _kernel = static_cast(CLKernelLibrary::get().create_kernel("softmax_layer_max", build_opts)); + + // Set fixed arguments + unsigned int idx = 2 * num_arguments_per_2D_tensor(); //Skip the input and output parameters + _kernel.setArg(idx++, input->info()->dimension(0)); + + // Configure kernel window + constexpr unsigned int num_elems_written_per_iteration = 1; + + Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration)); + AccessWindowHorizontal input_access(input->info(), 0, num_elems_processed_per_iteration); + AccessWindowHorizontal output_access(output->info(), 0, num_elems_written_per_iteration); + + update_window_and_padding(win, input_access, output_access); + + output_access.set_valid_region(win, ValidRegion(Coordinates(), output->info()->tensor_shape())); + + ICLKernel::configure(win); +} + +CLLogits1DShiftExpSumKernel::CLLogits1DShiftExpSumKernel() + : _input(nullptr), _max(nullptr), _output(nullptr), _sum(nullptr) +{ +} + +void CLLogits1DShiftExpSumKernel::configure(const ICLTensor *input, const ICLTensor *max, ICLTensor *output, ICLTensor *sum) +{ + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32); + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::F16, DataType::F32); + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(max, 1, DataType::F16, DataType::F32); + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(sum, 1, DataType::F16, DataType::F32); + ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output, max, sum); + + _input = input; + _max = max; + _output = output; + _sum = sum; + + // The kernel loops over all elements in steps of 16 + const unsigned int num_elems_processed_per_iteration = ceil_to_multiple(input->info()->dimension(0), 16); + + // Set build options + std::set build_opts{ "-DUSE_" + string_from_data_type(input->info()->data_type()) }; + + // Tell the kernel that the width is not a multiple of 16 + if((input->info()->dimension(0) % max_cl_vector_width) != 0) + { + build_opts.emplace("-DNON_MULTIPLE_OF_16"); + } + + // Create kernel + _kernel = static_cast(CLKernelLibrary::get().create_kernel("softmax_layer_shift_exp_sum", build_opts)); + + // Set fixed arguments + unsigned int idx = 4 * num_arguments_per_2D_tensor(); //Skip the input and output parameters + _kernel.setArg(idx++, input->info()->dimension(0)); + + // Configure window + Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration)); + + AccessWindowHorizontal input_access(input->info(), 0, num_elems_processed_per_iteration); + AccessWindowHorizontal max_access(max->info(), 0, 1); + AccessWindowHorizontal output_access(output->info(), 0, num_elems_processed_per_iteration); + AccessWindowHorizontal sum_access(sum->info(), 0, 1); + + update_window_and_padding(win, input_access, max_access, output_access, sum_access); + + output_access.set_valid_region(win, input->info()->valid_region()); + sum_access.set_valid_region(win, ValidRegion(Coordinates(), sum->info()->tensor_shape())); + + ICLKernel::configure(win); +} + +void CLLogits1DShiftExpSumKernel::run(const Window &window, cl::CommandQueue &queue) +{ + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window); + + Window slice = window.first_slice_window_2D(); + + do + { + unsigned int idx = 0; + // Set inputs + add_2D_tensor_argument(idx, _input, slice); + add_2D_tensor_argument(idx, _max, slice); + add_2D_tensor_argument(idx, _output, slice); + add_2D_tensor_argument(idx, _sum, slice); + enqueue(queue, *this, slice); + } + while(window.slide_window_slice_2D(slice)); +} + +CLLogits1DNormKernel::CLLogits1DNormKernel() + : _input(nullptr), _sum(nullptr), _output(nullptr) +{ +} + +void CLLogits1DNormKernel::configure(const ICLTensor *input, const ICLTensor *sum, ICLTensor *output) +{ + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32); + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(sum, 1, DataType::F16, DataType::F32); + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::F16, DataType::F32); + ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output, sum); + + _input = input; + _sum = sum; + _output = output; + + // Set build options + std::set build_opts; + build_opts.emplace(("-DUSE_" + string_from_data_type(input->info()->data_type()))); + + // Create kernel + _kernel = static_cast(CLKernelLibrary::get().create_kernel("softmax_layer_norm", build_opts)); + + // Configure window + constexpr unsigned int num_elems_processed_per_iteration = 16; + + Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration)); + + AccessWindowHorizontal input_access(input->info(), 0, num_elems_processed_per_iteration); + AccessWindowStatic sum_access(sum->info(), 0, 0, 1, sum->info()->dimension(1)); + AccessWindowHorizontal output_access(output->info(), 0, num_elems_processed_per_iteration); + + update_window_and_padding(win, input_access, sum_access, output_access); + + output_access.set_valid_region(win, input->info()->valid_region()); + + ICLKernel::configure(win); +} + +void CLLogits1DNormKernel::run(const Window &window, cl::CommandQueue &queue) +{ + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window); + + Window slice = window.first_slice_window_2D(); + + do + { + Window sum_slice = slice; + sum_slice.set(Window::DimX, Window::Dimension(0, 1, 1)); + + unsigned int idx = 0; + // Set inputs + add_2D_tensor_argument(idx, _input, slice); + add_2D_tensor_argument(idx, _sum, sum_slice); + add_2D_tensor_argument(idx, _output, slice); + enqueue(queue, *this, slice); + } + while(window.slide_window_slice_2D(slice)); +} -- cgit v1.2.1