| /* |
| * 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/CLGEMMInterleave4x4Kernel.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/Error.h" |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/core/Utils.h" |
| #include "arm_compute/core/Validate.h" |
| #include "arm_compute/core/Window.h" |
| |
| using namespace arm_compute; |
| |
| CLGEMMInterleave4x4Kernel::CLGEMMInterleave4x4Kernel() |
| : _input(nullptr), _output(nullptr) |
| { |
| } |
| |
| void CLGEMMInterleave4x4Kernel::configure(const ICLTensor *input, ICLTensor *output) |
| { |
| ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::S8, DataType::QS8, DataType::QASYMM8, DataType::U16, DataType::S16, DataType::QS16, DataType::U32, DataType::S32, |
| DataType::F16, |
| DataType::F32); |
| ARM_COMPUTE_ERROR_ON_NULLPTR(output); |
| |
| TensorShape output_shape = input->info()->tensor_shape(); |
| output_shape.set(0, input->info()->dimension(0) * 4); |
| output_shape.set(1, std::ceil(input->info()->dimension(1) / 4.0f)); |
| |
| // Output auto inizialitation if not yet initialized |
| auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type(), input->info()->fixed_point_position(), input->info()->quantization_info()); |
| |
| ARM_COMPUTE_ERROR_ON_MISMATCHING_DIMENSIONS(output->info()->tensor_shape(), output_shape); |
| ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
| ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT(input, output); |
| |
| _input = input; |
| _output = output; |
| |
| // Create kernel |
| std::string data_type_name; |
| data_type_name = support::cpp11::to_string(input->info()->element_size() * 8) + "bit"; |
| _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("gemm_interleave4x4_" + data_type_name)); |
| |
| // Configure kernel window |
| const unsigned int num_elems_processed_per_iteration_x = max_cl_vector_width / data_size_from_type(input->info()->data_type()); |
| constexpr unsigned int num_elems_processed_per_iteration_y = 4; |
| const unsigned int num_elems_written_per_iteration = num_elems_processed_per_iteration_x * num_elems_processed_per_iteration_y; |
| |
| Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y)); |
| |
| AccessWindowRectangle input_access(input->info(), 0, 0, num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y); |
| AccessWindowRectangle output_access(output->info(), 0, 0, num_elems_written_per_iteration, 1, 4.f, 0.25f); |
| |
| update_window_and_padding(win, input_access, output_access); |
| |
| output_access.set_valid_region(win, input->info()->valid_region()); |
| |
| ICLKernel::configure(win); |
| |
| // Set config_id for enabling LWS tuning |
| _config_id = "interleave4x4_"; |
| _config_id += lower_string(string_from_data_type(input->info()->data_type())); |
| _config_id += "_"; |
| _config_id += support::cpp11::to_string(output->info()->dimension(0)); |
| _config_id += "_"; |
| _config_id += support::cpp11::to_string(output->info()->dimension(1)); |
| } |
| |
| void CLGEMMInterleave4x4Kernel::run(const Window &window, cl::CommandQueue &queue) |
| { |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window); |
| |
| /* |
| * This kernel puts the values in a 4x4 block of Matrix A on the same row (Interleaved values) |
| * |a00 a01 a02 a03| |
| * |a10 a11 a12 a13| |
| * |a20 a21 a22 a23| = | a00 a10 a20 a30 || a01 a11 a21 a31 || a02 a12 a22 a32 || a03 a13 a23 a33 | |
| * |a30 a31 a32 a33| |
| * |
| * After this operation, the output matrix will have the following shape: [ height * 4, width / 4 ] |
| */ |
| Window in_slice = window.first_slice_window_2D(); |
| Window out_slice = window.first_slice_window_2D(); |
| |
| // Change x and y steps for the slide of output tensor |
| out_slice.scale(Window::DimX, 4.f); |
| out_slice.scale(Window::DimY, 0.25f); |
| |
| do |
| { |
| unsigned int idx = 0; |
| add_2D_tensor_argument(idx, _input, in_slice); |
| add_2D_tensor_argument(idx, _output, out_slice); |
| enqueue(queue, *this, in_slice, _lws_hint); |
| } |
| while(window.slide_window_slice_2D(in_slice) && window.slide_window_slice_2D(out_slice)); |
| } |