From 7891a73ef36f4ad7b71069b3c57694f85bb79454 Mon Sep 17 00:00:00 2001 From: Georgios Pinitas Date: Fri, 20 Aug 2021 21:39:25 +0100 Subject: Move CPU/GPU files from Core/Runtime to the respective backend folders Legacy structure contained two libraries core/runtime with two backends in each. We reduce the core/runtime libraries to a single library thus merging the backend files Signed-off-by: Georgios Pinitas Change-Id: I69545765fe7a730368105cdbd067d3135ec7a174 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6155 Comments-Addressed: Arm Jenkins Reviewed-by: Michele Di Giorgio Tested-by: Arm Jenkins --- src/gpu/cl/kernels/ClElementwiseUnaryKernel.cpp | 168 ++++++++++++++++++++++++ 1 file changed, 168 insertions(+) create mode 100644 src/gpu/cl/kernels/ClElementwiseUnaryKernel.cpp (limited to 'src/gpu/cl/kernels/ClElementwiseUnaryKernel.cpp') diff --git a/src/gpu/cl/kernels/ClElementwiseUnaryKernel.cpp b/src/gpu/cl/kernels/ClElementwiseUnaryKernel.cpp new file mode 100644 index 0000000000..1f09515b86 --- /dev/null +++ b/src/gpu/cl/kernels/ClElementwiseUnaryKernel.cpp @@ -0,0 +1,168 @@ +/* + * Copyright (c) 2018-2021 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 "src/gpu/cl/kernels/ClElementwiseUnaryKernel.h" + +#include "arm_compute/core/CL/CLHelpers.h" +#include "arm_compute/core/CL/ICLTensor.h" +#include "src/core/CL/CLValidate.h" +#include "src/core/helpers/WindowHelpers.h" +#include "support/Cast.h" +#include "support/StringSupport.h" + +namespace arm_compute +{ +namespace opencl +{ +namespace kernels +{ +namespace +{ +Status validate_arguments(const ITensorInfo &src, const ITensorInfo &dst, const ElementWiseUnary op) +{ + ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(&src); + if(op == ElementWiseUnary::LOGICAL_NOT) + { + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&src, 1, DataType::U8); + } + else if(op == ElementWiseUnary::NEG) + { + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&src, 1, DataType::F16, DataType::F32, DataType::S32); + } + else + { + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&src, 1, DataType::F16, DataType::F32); + } + + // Validate in case of configured dst + if(dst.total_size() > 0) + { + ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(&dst); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(&src, &dst); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(&src, &dst); + } + + return Status{}; +} +} // namespace + +ClElementWiseUnaryKernel::ClElementWiseUnaryKernel() +{ + _type = CLKernelType::ELEMENTWISE; +} + +void ClElementWiseUnaryKernel::configure(const CLCompileContext &compile_context, const ITensorInfo *src, ITensorInfo *dst, const ElementWiseUnary &op) +{ + ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst); + + auto padding_info = get_padding_info({ src, dst }); + + ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(*src, *dst, op)); + + const std::string kernel_name = "elementwise_unary"; + const int vec_size_x = 16 / dst->element_size(); + const int dst_width_x = dst->tensor_shape().x(); + const bool multi_access_x = (dst_width_x / vec_size_x > 0); + + // Set kernel build options + CLBuildOptions build_opts; + build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(src->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(dst_width_x - vec_size_x, 0))); + switch(op) + { + case ElementWiseUnary::RSQRT: + build_opts.add_option("-DOPERATION=rsqrt_op"); + break; + case ElementWiseUnary::EXP: + build_opts.add_option("-DOPERATION=exp_op"); + break; + case ElementWiseUnary::NEG: + build_opts.add_option("-DOPERATION=neg_op"); + break; + case ElementWiseUnary::SIN: + build_opts.add_option("-DOPERATION=sin_op"); + break; + case ElementWiseUnary::ABS: + build_opts.add_option("-DOPERATION=fabs_op"); + break; + case ElementWiseUnary::LOG: + build_opts.add_option("-DOPERATION=natural_log_op"); + break; + case ElementWiseUnary::ROUND: + build_opts.add_option("-DOPERATION=round_op"); + break; + case ElementWiseUnary::LOGICAL_NOT: + build_opts.add_option("-DOPERATION=logical_not_op"); + break; + default: + ARM_COMPUTE_ERROR("Not implemented"); + } + + // Create kernel + _kernel = create_kernel(compile_context, kernel_name, build_opts.options()); + + // Configure kernel window + Window win = calculate_max_window(*dst); + 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); + + ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info)); +} + +Status ClElementWiseUnaryKernel::validate(const ITensorInfo *src, const ITensorInfo *dst, const ElementWiseUnary &op) +{ + ARM_COMPUTE_UNUSED(op); + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst); + ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(*src, *dst, op)); + + return Status{}; +} + +void ClElementWiseUnaryKernel::run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue) +{ + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window); + + Window collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ); + Window slice = collapsed.first_slice_window_3D(); + + const auto src = utils::cast::polymorphic_downcast(tensors.get_const_tensor(TensorType::ACL_SRC)); + auto dst = utils::cast::polymorphic_downcast(tensors.get_tensor(TensorType::ACL_DST)); + + do + { + unsigned int idx = 0; + add_3D_tensor_argument(idx, src, slice); + add_3D_tensor_argument(idx, dst, slice); + enqueue(queue, *this, slice, lws_hint()); + } + while(collapsed.slide_window_slice_3D(slice)); +} +} // namespace kernels +} // namespace opencl +} // namespace arm_compute -- cgit v1.2.1