/* * Copyright (c) 2023 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 "GpuCkwKernelArgumentsHelpers.h" namespace arm_compute { namespace experimental { namespace dynamic_fusion { void cl_add_tensor_component_argument(cl::Kernel &kernel, unsigned int &idx, const ICLTensor *tensor, TensorComponentType component) { ARM_COMPUTE_ERROR_ON(tensor == nullptr); const auto *info = tensor->info(); const auto &strides = info->strides_in_bytes(); switch (component) { case TensorComponentType::OffsetFirstElement: kernel.setArg(idx++, info->offset_first_element_in_bytes()); break; case TensorComponentType::Stride0: kernel.setArg(idx++, strides[0]); break; case TensorComponentType::Stride1: kernel.setArg(idx++, strides[1]); break; case TensorComponentType::Stride2: kernel.setArg(idx++, strides[2]); break; case TensorComponentType::Stride3: kernel.setArg(idx++, strides[3]); break; case TensorComponentType::Stride4: kernel.setArg(idx++, strides[4]); break; case TensorComponentType::Dim0: kernel.setArg(idx++, info->dimension(0)); break; case TensorComponentType::Dim1: kernel.setArg(idx++, info->dimension(1)); break; case TensorComponentType::Dim2: kernel.setArg(idx++, info->dimension(2)); break; case TensorComponentType::Dim3: kernel.setArg(idx++, info->dimension(3)); break; case TensorComponentType::Dim4: kernel.setArg(idx++, info->dimension(4)); break; case TensorComponentType::Dim1xDim2: kernel.setArg(idx++, info->dimension(1) * info->dimension(2)); break; case TensorComponentType::Dim2xDim3: kernel.setArg(idx++, info->dimension(2) * info->dimension(3)); break; case TensorComponentType::Dim1xDim2xDim3: kernel.setArg(idx++, info->dimension(1) * info->dimension(2) * info->dimension(3)); break; case TensorComponentType::Unknown: default: ARM_COMPUTE_ERROR("Unknown tensor component"); } } void cl_add_buffer_argument(cl::Kernel &kernel, unsigned int &idx, const cl::Buffer &buffer) { kernel.setArg(idx++, buffer); } void cl_add_texture_argument(cl::Kernel &kernel, unsigned int &idx, const cl::Image &image) { kernel.setArg(idx++, image); } } // namespace dynamic_fusion } // namespace experimental } // namespace arm_compute