| /* |
| * 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/CL/kernels/CLGEMMTranspose1xWKernel.h" |
| |
| #include "arm_compute/core/AccessWindowStatic.h" |
| #include "arm_compute/core/AccessWindowTranspose.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/Validate.h" |
| #include "arm_compute/core/Window.h" |
| #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
| |
| #include <cmath> |
| |
| using namespace arm_compute; |
| using namespace arm_compute::misc::shape_calculator; |
| |
| namespace |
| { |
| Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, int mult_transpose1xW_width) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON(mult_transpose1xW_width < 1); |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QS8, DataType::QASYMM8, DataType::U8, DataType::S8, |
| DataType::QS16, DataType::U16, DataType::S16, DataType::U32, DataType::S32, |
| DataType::F16, DataType::F32); |
| |
| if(output->total_size() != 0) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(output->tensor_shape(), |
| compute_transpose1xW_with_element_size_shape(*input, mult_transpose1xW_width)); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input, output); |
| } |
| |
| return Status{}; |
| } |
| |
| std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output, unsigned int &num_elems_processed_per_iteration, int mult_transpose1xW_width) |
| { |
| num_elems_processed_per_iteration = 16 / input->element_size(); |
| |
| const int scale_x = num_elems_processed_per_iteration * mult_transpose1xW_width; |
| bool window_changed = false; |
| |
| // Configure kernel window |
| Window win = calculate_max_window(*input, Steps(num_elems_processed_per_iteration)); |
| |
| if((win.x().end() / scale_x) == 0) |
| { |
| return std::make_pair(ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Transposed shape would be 0 in the second dimension"), win); |
| } |
| |
| AccessWindowHorizontal input_access(input, 0, num_elems_processed_per_iteration); |
| |
| // Output tensor auto inizialitation if not yet initialized |
| auto_init_if_empty(*output, input->clone()->set_tensor_shape(compute_transpose1xW_with_element_size_shape(*input, mult_transpose1xW_width))); |
| |
| // Configure window in case of configured output |
| AccessWindowStatic output_access(output, 0, 0, ceil_to_multiple(output->dimension(0), scale_x), output->dimension(1)); |
| window_changed = window_changed || update_window_and_padding(win, input_access, output_access); |
| output_access.set_valid_region(win, ValidRegion(Coordinates(0, 0), input->tensor_shape())); |
| |
| // Collapse along the Z direction |
| Window collapsed = win.collapse(win, Window::DimZ); |
| |
| Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; |
| return std::make_pair(err, collapsed); |
| } |
| } // namespace |
| |
| void CLGEMMTranspose1xWKernel::configure(const ICLTensor *input, ICLTensor *output, int mult_transpose1xW_width) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| |
| // Output tensor auto inizialitation if not yet initialized |
| auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(compute_transpose1xW_with_element_size_shape(*input->info(), mult_transpose1xW_width))); |
| |
| // Perform validate step |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), mult_transpose1xW_width)); |
| |
| _input = input; |
| _output = output; |
| |
| // Configure kernel window |
| // Note: num_elems_processed_per_iteration will be set in validate_and_configure_window() |
| unsigned int num_elems_processed_per_iteration = 1; |
| auto win_config = validate_and_configure_window(input->info(), output->info(), num_elems_processed_per_iteration, mult_transpose1xW_width); |
| ARM_COMPUTE_ERROR_THROW_ON(win_config.first); |
| ICLKernel::configure(win_config.second); |
| |
| // Create build options |
| CLBuildOptions build_opts; |
| build_opts.add_option("-DELEMENT_SIZE=" + support::cpp11::to_string(input->info()->element_size())); |
| build_opts.add_option("-DTRANSPOSE_W=" + support::cpp11::to_string(num_elems_processed_per_iteration)); |
| build_opts.add_option("-DMULT_TRANSPOSE1XW_WIDTH=" + support::cpp11::to_string(mult_transpose1xW_width)); |
| |
| /* |
| * Following an example of how the transposition1xW works when the input data type is F32 |
| * |
| * |a00 a01 a02 a03| |
| * |a10 a11 a12 a13| |
| * |a20 a21 a22 a23| = | a00 a01 a02 a03 || a10 a11 a12 a13 || a20 a21 a22 a23 || a30 a31 a32 a33 | |
| * |a30 a31 a32 a33| |
| * |
| * The output matrix will have the following shape: [ height * W, ceil(width / W) ], where W = (16 / element size of the tensor) * mult_transpose1xW_width |
| */ |
| // Create kernel |
| std::string kernel_name = "gemm_transpose1xW"; |
| _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel(kernel_name, build_opts.options())); |
| } |
| |
| Status CLGEMMTranspose1xWKernel::validate(const ITensorInfo *input, const ITensorInfo *output, int mult_transpose1xW_width) |
| { |
| unsigned int num_elems_processed_per_iteration = 1; |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, mult_transpose1xW_width)); |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get(), num_elems_processed_per_iteration, mult_transpose1xW_width).first); |
| |
| return Status{}; |
| } |
| |
| void CLGEMMTranspose1xWKernel::run(const Window &window, cl::CommandQueue &queue) |
| { |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window); |
| |
| // Output is transposed |
| Window out_window(window); |
| out_window.set(Window::DimX, window.y()); |
| out_window.set(Window::DimY, window.x()); |
| |
| Window in_slice = window.first_slice_window_3D(); |
| Window out_slice = out_window.first_slice_window_3D(); |
| |
| do |
| { |
| unsigned int idx = 0; |
| add_3D_tensor_argument(idx, _input, in_slice); |
| add_3D_tensor_argument(idx, _output, out_slice); |
| enqueue(queue, *this, in_slice, _lws_hint); |
| } |
| while(window.slide_window_slice_3D(in_slice) && out_window.slide_window_slice_3D(out_slice)); |
| } |