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/CLGEMMTranspose1xWKernel.cpp | 129 +++++++++++++++++++++++ 1 file changed, 129 insertions(+) create mode 100644 src/core/CL/kernels/CLGEMMTranspose1xWKernel.cpp (limited to 'src/core/CL/kernels/CLGEMMTranspose1xWKernel.cpp') diff --git a/src/core/CL/kernels/CLGEMMTranspose1xWKernel.cpp b/src/core/CL/kernels/CLGEMMTranspose1xWKernel.cpp new file mode 100644 index 0000000000..ecee1abd72 --- /dev/null +++ b/src/core/CL/kernels/CLGEMMTranspose1xWKernel.cpp @@ -0,0 +1,129 @@ +/* + * 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/CLGEMMTranspose1xWKernel.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 + +using namespace arm_compute; + +void CLGEMMTranspose1xWKernel::configure(const ICLTensor *input, ICLTensor *output) +{ + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::F16, DataType::F32); + ARM_COMPUTE_ERROR_ON(output == nullptr); + + TensorShape output_shape{ input->info()->tensor_shape() }; + const size_t transpose_w = 16 / input->info()->element_size(); + output_shape.set(0, input->info()->dimension(1) * transpose_w); + output_shape.set(1, static_cast(std::ceil((input->info()->dimension(0) / static_cast(transpose_w))))); + + // Output tensor auto inizialitation if not yet initialized + auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type(), input->info()->fixed_point_position()); + + ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); + ARM_COMPUTE_ERROR_ON_MISMATCHING_DIMENSIONS(output->info()->tensor_shape(), output_shape); + + _input = input; + _output = output; + const unsigned int num_elems_processed_per_iteration = max_cl_vector_width / data_size_from_type(input->info()->data_type()); + + /* + * 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| + * + * If the input data type is F32, the output matrix will have the following shape: [ height * 4, width / 4 ] + * If the input data type is F16, the output matrix will have the following shape: [ height * 8, width / 8 ] + */ + // Create kernel + std::string data_type_name = lower_string(string_from_data_type(input->info()->data_type())); + std::string kernel_name = "gemm_transpose1x" + val_to_string(num_elems_processed_per_iteration) + "_" + data_type_name; + _kernel = static_cast(CLKernelLibrary::get().create_kernel(kernel_name)); + + // Configure window + Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration)); + + float scale_x = 1.f; + + switch(input->info()->data_type()) + { + case DataType::U8: + scale_x = 16.f; + break; + case DataType::F16: + scale_x = 8.f; + break; + case DataType::F32: + scale_x = 4.f; + break; + default: + // Do nothing + break; + } + + AccessWindowHorizontal input_access(input->info(), 0, num_elems_processed_per_iteration); + AccessWindowTranspose output_access(output->info(), 0, 0, num_elems_processed_per_iteration, 1, scale_x, 1.f / scale_x); + + update_window_and_padding(win, input_access, output_access); + + output_access.set_valid_region(win, ValidRegion(Coordinates(0, 0), output->info()->tensor_shape())); + + ICLKernel::configure(win); +} + +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_2D(); + Window out_slice = out_window.first_slice_window_2D(); + + 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) && out_window.slide_window_slice_2D(out_slice)); +} -- cgit v1.2.1