From 27400b90a9cb3fe028c5b724b58ce0e82d89b5e8 Mon Sep 17 00:00:00 2001 From: Michele Di Giorgio Date: Thu, 1 Nov 2018 13:44:05 +0000 Subject: COMPMID-1707: Create 3 special CLWidthConcatenate kernel to concatenate 2/4 and 8 tensors (Part 1) Creating special cases for concatening 2 and 4 tensors. Change-Id: I6a739a494ae45011acb65369e353f9ef96970b90 --- .../kernels/CLWidthConcatenate2TensorsKernel.cpp | 151 +++++++++++++++++++++ 1 file changed, 151 insertions(+) create mode 100644 src/core/CL/kernels/CLWidthConcatenate2TensorsKernel.cpp (limited to 'src/core/CL/kernels/CLWidthConcatenate2TensorsKernel.cpp') diff --git a/src/core/CL/kernels/CLWidthConcatenate2TensorsKernel.cpp b/src/core/CL/kernels/CLWidthConcatenate2TensorsKernel.cpp new file mode 100644 index 0000000000..b0d27cbc87 --- /dev/null +++ b/src/core/CL/kernels/CLWidthConcatenate2TensorsKernel.cpp @@ -0,0 +1,151 @@ +/* + * Copyright (c) 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/CLWidthConcatenate2TensorsKernel.h" + +#include "arm_compute/core/AccessWindowStatic.h" +#include "arm_compute/core/CL/CLHelpers.h" +#include "arm_compute/core/CL/CLKernelLibrary.h" +#include "arm_compute/core/CL/CLValidate.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/IAccessWindow.h" +#include "arm_compute/core/TensorInfo.h" +#include "arm_compute/core/Utils.h" +#include "arm_compute/core/Window.h" +#include "arm_compute/core/utils/misc/ShapeCalculator.h" + +#include "support/ToolchainSupport.h" + +namespace arm_compute +{ +namespace +{ +constexpr unsigned int num_elems_processed_per_iteration = 8; + +std::pair validate_and_configure_window(ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output) +{ + // The window needs to be based on the output + Window win = calculate_max_window(*output, Steps(num_elems_processed_per_iteration)); + AccessWindowStatic input1_access(input1, 0, 0, ceil_to_multiple(input1->dimension(0), num_elems_processed_per_iteration) + num_elems_processed_per_iteration, input1->dimension(1)); + AccessWindowStatic input2_access(input2, -num_elems_processed_per_iteration, 0, ceil_to_multiple(input2->dimension(0), num_elems_processed_per_iteration) + num_elems_processed_per_iteration, + input2->dimension(1)); + AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration); + bool window_changed = update_window_and_padding(win, input1_access, input2_access, output_access); + + Window win_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, win_collapsed); +} +Status validate_arguments(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output) +{ + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input1, input2, output); + ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input1); + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input1, 1, DataType::U8, DataType::S8, DataType::QASYMM8, DataType::U16, DataType::S16, DataType::F16, DataType::U32, + DataType::F32); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input1, input2, output); + ARM_COMPUTE_RETURN_ERROR_ON(input1->dimension(0) + input2->dimension(0) > output->dimension(0)); + + for(size_t i = 1; i < Coordinates::num_max_dimensions; ++i) + { + ARM_COMPUTE_RETURN_ERROR_ON(input1->dimension(i) != output->dimension(i)); + ARM_COMPUTE_RETURN_ERROR_ON(input2->dimension(i) != output->dimension(i)); + } + ARM_COMPUTE_RETURN_ERROR_ON(input1->num_dimensions() > 4); + + return Status{}; +} +} // namespace + +CLWidthConcatenate2TensorsKernel::CLWidthConcatenate2TensorsKernel() + : _input1(nullptr), _input2(nullptr), _output(nullptr) +{ +} + +Status CLWidthConcatenate2TensorsKernel::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output) +{ + ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input1, input2, output)); + ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input1->clone().get(), input2->clone().get(), output->clone().get()).first); + return Status{}; +} + +void CLWidthConcatenate2TensorsKernel::configure(const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output) +{ + ARM_COMPUTE_ERROR_ON_NULLPTR(input1, input2, output); + ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input1->info(), input2->info(), output->info())); + + _input1 = input1; + _input2 = input2; + _output = output; + + // Add build options + CLBuildOptions build_opts; + build_opts.add_option("-DDATA_TYPE=" + get_underlying_cl_type_from_data_type(input1->info()->data_type())); + build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(num_elems_processed_per_iteration)); + build_opts.add_option("-DDEPTH=" + support::cpp11::to_string(input1->info()->dimension(2))); + build_opts.add_option("-DINPUT1_WIDTH=" + support::cpp11::to_string(input1->info()->dimension(0))); + build_opts.add_option("-DELEMENT_SIZE=" + support::cpp11::to_string(input1->info()->element_size())); + + // Create kernel + _kernel = static_cast(CLKernelLibrary::get().create_kernel("concatenate_width_x2", build_opts.options())); + + // Configure kernel window + auto win_config = validate_and_configure_window(input1->info(), input2->info(), output->info()); + ARM_COMPUTE_ERROR_THROW_ON(std::get<0>(win_config)); + + ICLKernel::configure_internal(std::get<1>(win_config)); + + // Set config_id for enabling LWS tuning + _config_id = "concatenate_width_x2_"; + _config_id += lower_string(string_from_data_type(input1->info()->data_type())); + _config_id += "_"; + _config_id += support::cpp11::to_string(input1->info()->dimension(0)); + _config_id += "_"; + _config_id += support::cpp11::to_string(input1->info()->dimension(1)); + _config_id += "_"; + _config_id += support::cpp11::to_string(input2->info()->dimension(0)); + _config_id += "_"; + _config_id += support::cpp11::to_string(input2->info()->dimension(1)); +} + +void CLWidthConcatenate2TensorsKernel::run(const Window &window, cl::CommandQueue &queue) +{ + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window); + + Window slice = window.first_slice_window_4D(); + + do + { + unsigned int idx = 0; + add_4D_tensor_argument(idx, _input1, slice); + add_4D_tensor_argument(idx, _input2, slice); + add_4D_tensor_argument(idx, _output, slice); + enqueue(queue, *this, window, lws_hint()); + } + while(window.slide_window_slice_4D(slice)); +} +} // namespace arm_compute -- cgit v1.2.1