/* * Copyright (c) 2017-2018 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/GLES_COMPUTE/kernels/GCTensorShiftKernel.h" #include "arm_compute/core/AccessWindowStatic.h" #include "arm_compute/core/Error.h" #include "arm_compute/core/GLES_COMPUTE/GCHelpers.h" #include "arm_compute/core/GLES_COMPUTE/GCKernelLibrary.h" #include "arm_compute/core/GLES_COMPUTE/IGCTensor.h" #include "arm_compute/core/Helpers.h" #include "arm_compute/core/IAccessWindow.h" #include "arm_compute/core/ITensor.h" #include "arm_compute/core/Types.h" #include "arm_compute/core/Validate.h" #include "support/ToolchainSupport.h" using namespace arm_compute; GCTensorShiftKernel::GCTensorShiftKernel() : _input(nullptr), _lws(gles::NDRange(1U, 1U, 1U)), _left_padding(0) { } void GCTensorShiftKernel::configure(IGCTensor *input) { ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32); _input = input; std::set options; options.emplace("#define LOCAL_SIZE_X " + support::cpp11::to_string(_lws[0])); options.emplace("#define LOCAL_SIZE_Y " + support::cpp11::to_string(_lws[1])); options.emplace("#define LOCAL_SIZE_Z " + support::cpp11::to_string(_lws[2])); options.emplace("#define WIDTH " + support::cpp11::to_string(input->info()->dimension(0))); std::string dt_name = (input->info()->data_type() == DataType::F32) ? "DATA_TYPE_FP32" : "DATA_TYPE_FP16"; options.emplace(("#define " + dt_name)); unsigned int num_elems_written_per_iteration_x = input->info()->dimension(0) + input->info()->padding().left + input->info()->padding().right; std::stringstream kernel_name; kernel_name << "tensorshift"; _kernel = static_cast(GCKernelLibrary::get().create_kernel(kernel_name.str(), options)); Window win; win.set(Window::DimX, Window::Dimension(0, num_elems_written_per_iteration_x, num_elems_written_per_iteration_x)); win.use_tensor_dimensions(input->info()->tensor_shape(), Window::DimY); win.use_tensor_dimensions(input->info()->tensor_shape(), Window::DimZ); _left_padding = _input->info()->padding().left; IGCKernel::configure(win); } void GCTensorShiftKernel::run(const Window &window) { ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window); if(int(_left_padding) == 0 || !_input->needs_shifting()) { return; } _kernel.use(); // Get initial windows Window slice = window.first_slice_window_3D(); slice.shift(Window::DimX, -(_input->info()->padding()).left); do { unsigned int idx = 0; add_3D_tensor_argument(idx, _input, 1, slice); _kernel.set_argument(idx++, static_cast(_left_padding)); _kernel.update_shader_params(); enqueue(*this, slice, _lws); } while(window.slide_window_slice_3D(slice)); }