| /* |
| * 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/CLL2NormalizeKernel.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; |
| |
| CLL2NormalizeKernel::CLL2NormalizeKernel() |
| : _input(nullptr), _sum(nullptr), _output(nullptr), _axis(0), _epsilon(1e-12) |
| { |
| } |
| |
| void CLL2NormalizeKernel::configure(const ICLTensor *input, const ICLTensor *sum, ICLTensor *output, unsigned int axis, float epsilon) |
| { |
| ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32); |
| ARM_COMPUTE_ERROR_ON_NULLPTR(output); |
| |
| // Sum and output tensor auto initialization if not yet initialized |
| auto_init_if_empty(*output->info(), input->info()->tensor_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"); |
| ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES(input, output); |
| |
| _input = input; |
| _sum = sum; |
| _output = output; |
| _axis = axis; |
| _epsilon = epsilon; |
| |
| const unsigned int num_elems_processed_per_iteration = 16; |
| |
| // Set build options |
| std::set<std::string> 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))); |
| |
| // Create kernel |
| _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("l2_normalize", build_opts)); |
| |
| // Set epsilon argument |
| unsigned int idx = num_arguments_per_1D_tensor() * 3; |
| _kernel.setArg<cl_uint>(idx, _epsilon); |
| |
| // Configure kernel 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 output_access(output->info(), 0, num_elems_processed_per_iteration); |
| |
| update_window_and_padding(win, input_access, output_access); |
| output_access.set_valid_region(win, input->info()->valid_region()); |
| |
| ICLKernel::configure(win); |
| } |
| |
| void CLL2NormalizeKernel::run(const Window &window, cl::CommandQueue &queue) |
| { |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window); |
| |
| Window window_sum(window); |
| window_sum.set(Window::DimX, Window::Dimension(0, 0, 0)); |
| |
| Window in_slice = window.first_slice_window_1D(); |
| Window sum_slice = window_sum.first_slice_window_1D(); |
| |
| do |
| { |
| unsigned int idx = 0; |
| add_1D_tensor_argument(idx, _input, in_slice); |
| add_1D_tensor_argument(idx, _sum, sum_slice); |
| add_1D_tensor_argument(idx, _output, in_slice); |
| enqueue(queue, *this, in_slice); |
| } |
| while(window.slide_window_slice_1D(in_slice) && window.slide_window_slice_1D(sum_slice)); |
| } |