| /* |
| * Copyright (c) 2022-2024 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 "ClKernelRuntime.h" |
| |
| #include "arm_compute/core/CL/ICLTensor.h" |
| |
| #include "src/core/CL/CLUtils.h" |
| #include "src/dynamic_fusion/runtime/gpu/cl/ckw_driver/GpuCkwKernelArgumentsHelpers.h" |
| #include "src/dynamic_fusion/sketch/gpu/GpuKernelSourceCode.h" |
| #include "src/gpu/cl/ClKernelLibrary.h" |
| #include "support/Cast.h" |
| |
| namespace arm_compute |
| { |
| namespace experimental |
| { |
| namespace dynamic_fusion |
| { |
| using namespace arm_compute::opencl; |
| |
| void ClKernelRuntime::configure(const ClCompileContext &compile_ctx, const GpuKernelSourceCode &code) |
| { |
| // Create kernel from kernel source string |
| opencl::ClKernelLibrary &klib = opencl::ClKernelLibrary::get(); |
| _kernel = static_cast<cl::Kernel>(compile_ctx.create_kernel( |
| code.name(), |
| code.name(), // program name has to be provided to differentiate between different unfusable components' kernels. |
| // Each program contains exactly one kernel |
| code.code(), klib.kernel_path() /* Kernel path: Used in cases of embedded kernels */, |
| code.build_options().options(), false /* Is source binary */)); |
| |
| // Configure execution window |
| IClKernel::configure_internal(code.window()); |
| |
| // Set config id for lws tuning |
| _config_id = code.config_id(); |
| |
| // Set kernel arguments |
| _arguments = code.arguments(); |
| } |
| |
| inline void ClKernelRuntime::add_kernel_argument(unsigned int &idx, |
| const GpuKernelArgumentBinding &arg, |
| const ICLTensor *tensor, |
| std::vector<cl::Image2D> &cl_images) |
| { |
| switch (arg.type()) |
| { |
| case GpuKernelArgumentBinding::Type::TensorStorage: |
| { |
| switch (arg.tensor_storage_type()) |
| { |
| case TensorStorageType::ClBufferUint8Ptr: |
| { |
| cl_add_buffer_argument(_kernel, idx, tensor->cl_buffer()); |
| break; |
| } |
| case TensorStorageType::ClImage2dReadOnly: |
| { |
| cl::Image2D tensor_image2d = create_image2d_from_tensor(tensor, CLImage2DType::ReadOnly); |
| cl_images.push_back(tensor_image2d); |
| cl_add_texture_argument(_kernel, idx, tensor_image2d); |
| break; |
| } |
| case TensorStorageType::ClImage2dWriteOnly: |
| { |
| cl::Image2D tensor_image2d = create_image2d_from_tensor(tensor, CLImage2DType::WriteOnly); |
| cl_images.push_back(tensor_image2d); |
| cl_add_texture_argument(_kernel, idx, tensor_image2d); |
| break; |
| } |
| default: |
| { |
| ARM_COMPUTE_ERROR("Do not accept other TensorStorageType"); |
| break; |
| } |
| } |
| break; |
| } |
| case GpuKernelArgumentBinding::Type::TensorComponent: |
| { |
| cl_add_tensor_component_argument(_kernel, idx, tensor, arg.tensor_component_type()); |
| break; |
| } |
| default: |
| { |
| ARM_COMPUTE_ERROR("Do not accept other types of kernel arguments"); |
| break; |
| } |
| } |
| } |
| |
| void ClKernelRuntime::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 slice = window.first_slice_window_3D(); |
| |
| /// NOTE: Parameters extracted from old kernels. So far they seem to be constant |
| /// but we may need to make them into another configuration passed from GpuWorkloadSourceCode if needed in the future |
| constexpr bool skip_sliding_window = false; |
| constexpr bool use_dummy_work_items = false; |
| |
| unsigned int idx = 0; |
| do |
| { |
| // Set kernel arguments |
| // CLImages created from tensor arguments. Need to be retained until enqueue |
| std::vector<cl::Image2D> cl_images; |
| |
| for (const auto &arg : _arguments) |
| { |
| auto tensor = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(arg.id())); |
| ARM_COMPUTE_ERROR_ON_NULLPTR(tensor); |
| ARM_COMPUTE_ERROR_ON_NULLPTR(tensor->info()); |
| add_kernel_argument(idx, arg, tensor, cl_images); |
| } |
| |
| // Dispatch kernel |
| enqueue(queue, *this, slice, lws_hint(), use_dummy_work_items); |
| } while (skip_sliding_window && window.slide_window_slice_3D(slice)); |
| } |
| |
| } // namespace dynamic_fusion |
| } // namespace experimental |
| } // namespace arm_compute |