From d7647d4ebd0f0b5253b7f31ffcd48a851ba62947 Mon Sep 17 00:00:00 2001 From: Giuseppe Rossini Date: Tue, 17 Jul 2018 18:13:13 +0100 Subject: [COMPMID-1229] Implementing Pad on OpenCL -FP32/FP16 Change-Id: Ideead99410e5e0bda1035030af1bbcd0a65ea15e Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/144792 Tested-by: bsgcomp Reviewed-by: Georgios Pinitas --- src/core/CL/kernels/CLMemsetKernel.cpp | 95 ++++++++++++++++++++++++++++++++++ 1 file changed, 95 insertions(+) create mode 100644 src/core/CL/kernels/CLMemsetKernel.cpp (limited to 'src/core/CL/kernels/CLMemsetKernel.cpp') diff --git a/src/core/CL/kernels/CLMemsetKernel.cpp b/src/core/CL/kernels/CLMemsetKernel.cpp new file mode 100644 index 0000000000..ab53897543 --- /dev/null +++ b/src/core/CL/kernels/CLMemsetKernel.cpp @@ -0,0 +1,95 @@ +/* + * 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/CLMemsetKernel.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/ICLTensor.h" +#include "arm_compute/core/Helpers.h" +#include "arm_compute/core/Utils.h" +#include "arm_compute/core/Validate.h" +#include "arm_compute/core/Window.h" + +namespace arm_compute +{ +CLMemsetKernel::CLMemsetKernel() + : ICLKernel(), _tensor(nullptr) +{ +} + +void CLMemsetKernel::configure(ICLTensor *tensor, + const PixelValue &constant_value) +{ + ARM_COMPUTE_ERROR_ON_NULLPTR(tensor); + _tensor = tensor; + + const DataType data_type = tensor->info()->data_type(); + const int vec_size_x = 16 / tensor->info()->element_size(); + const int output_width_x = tensor->info()->tensor_shape().x(); + const bool multi_access_x = (output_width_x / vec_size_x > 0); + + // Create and update the window (if needed) + Window win = calculate_max_window(*tensor->info()); + if(multi_access_x) + { + win.set(Window::DimX, + Window::Dimension(win.x().start(), ceil_to_multiple(win.x().end(), vec_size_x), vec_size_x)); + } + ICLKernel::configure_internal(win); + + // Create kernel + CLBuildOptions build_opts; + build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(data_type)); + build_opts.add_option("-DCONSTANT_VALUE=" + string_from_pixel_value(constant_value, data_type)); + build_opts.add_option_if(multi_access_x, "-DVEC_SIZE=" + support::cpp11::to_string(vec_size_x)); + build_opts.add_option_if(multi_access_x, "-DLAST_ACCESSED_X=" + support::cpp11::to_string(std::max(output_width_x - vec_size_x, 0))); + _kernel = static_cast(CLKernelLibrary::get().create_kernel("memset", build_opts.options())); +} + +Status CLMemsetKernel::validate(const ITensorInfo *tensor, const PixelValue &constant_value) +{ + ARM_COMPUTE_UNUSED(tensor); + ARM_COMPUTE_UNUSED(constant_value); + return Status{}; +} + +void CLMemsetKernel::run(const Window &window, cl::CommandQueue &queue) +{ + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window); + + // Collapse all the batches on the third + Window collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimY); + Window slice = collapsed.first_slice_window_2D(); + + do + { + unsigned int idx = 0; + add_2D_tensor_argument(idx, _tensor, slice); + enqueue(queue, *this, slice); + } + while(collapsed.slide_window_slice_2D(slice)); +} +} // namespace arm_compute -- cgit v1.2.1