diff options
Diffstat (limited to 'src/dynamic_fusion/runtime/gpu/cl/ClKernelRuntime.cpp')
| -rw-r--r-- | src/dynamic_fusion/runtime/gpu/cl/ClKernelRuntime.cpp | 200 |
1 files changed, 200 insertions, 0 deletions
diff --git a/src/dynamic_fusion/runtime/gpu/cl/ClKernelRuntime.cpp b/src/dynamic_fusion/runtime/gpu/cl/ClKernelRuntime.cpp new file mode 100644 index 0000000000..93fbdfed63 --- /dev/null +++ b/src/dynamic_fusion/runtime/gpu/cl/ClKernelRuntime.cpp @@ -0,0 +1,200 @@ +/* + * Copyright (c) 2022 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/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(), + "" /* Program name: Used to as part of a unique string for built kernel cache. Not needed */, + 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_tensor_argument(unsigned int &idx, const GpuKernelArgumentInfo &arg, const ICLTensor *tensor, const Window &arg_slice, std::vector<cl::Image2D> &cl_images) +{ + switch(arg.type) + { + case GpuKernelArgumentInfo::Type::Scalar: + { + ARM_COMPUTE_ERROR("Unsupported yet"); + break; + } + + case GpuKernelArgumentInfo::Type::Vector: + { + add_1D_tensor_argument(idx, tensor, arg_slice); + break; + } + + case GpuKernelArgumentInfo::Type::Image: + { + add_2D_tensor_argument(idx, tensor, arg_slice); + break; + } + case GpuKernelArgumentInfo::Type::Image_Reinterpret_As_3D: + { + add_2D_tensor_argument(idx, tensor, arg_slice); + const unsigned int total_cross_plane_pad = tensor->info()->padding().top + tensor->info()->padding().bottom; + _kernel.setArg<cl_uint>(idx++, static_cast<unsigned int>(total_cross_plane_pad)); + break; + } + case GpuKernelArgumentInfo::Type::Image_Export_To_ClImage2D: + { + const TensorShape shape2d(tensor->info()->dimension(0) / 4, tensor->info()->dimension(1) * tensor->info()->dimension(2) * tensor->info()->dimension(3)); + const size_t image_row_pitch = tensor->info()->strides_in_bytes()[1]; + cl::Image2D tensor_image2d = create_image2d_from_buffer(CLKernelLibrary::get().context(), tensor->cl_buffer(), shape2d, tensor->info()->data_type(), image_row_pitch); + cl_images.push_back(tensor_image2d); + _kernel.setArg(idx++, tensor_image2d); + break; + } + + case GpuKernelArgumentInfo::Type::Image_3D: + { + add_2D_tensor_argument(idx, tensor, arg_slice); + _kernel.setArg<cl_uint>(idx++, static_cast<unsigned int>(tensor->info()->strides_in_bytes()[2])); + break; + } + case GpuKernelArgumentInfo::Type::Image_3D_Export_To_ClImage2D: + { + const TensorShape shape2d(tensor->info()->dimension(0) / 4, tensor->info()->dimension(1) * tensor->info()->dimension(2) * tensor->info()->dimension(3)); + const size_t image_row_pitch = tensor->info()->strides_in_bytes()[1]; + cl::Image2D tensor_image2d = create_image2d_from_buffer(CLKernelLibrary::get().context(), tensor->cl_buffer(), shape2d, tensor->info()->data_type(), image_row_pitch); + cl_images.push_back(tensor_image2d); + _kernel.setArg(idx++, tensor_image2d); + _kernel.setArg<cl_uint>(idx++, static_cast<unsigned int>(tensor->info()->strides_in_bytes()[2])); + break; + } + + case GpuKernelArgumentInfo::Type::Tensor_3D: + { + add_3D_tensor_argument(idx, tensor, arg_slice); + break; + } + + case GpuKernelArgumentInfo::Type::Tensor_4D: + { + add_4D_tensor_argument(idx, tensor, arg_slice); + break; + } + case GpuKernelArgumentInfo::Type::Tensor_4D_t_Buffer: + { + add_4d_tensor_nhwc_argument(idx, tensor); + break; + } + case GpuKernelArgumentInfo::Type::Tensor_4D_t_Image: + { + const size_t image_w = tensor->info()->dimension(0) / 4; + const size_t image_h = tensor->info()->tensor_shape().total_size_upper(1); + const size_t image_stride_y = tensor->info()->strides_in_bytes()[1]; + + cl::Image2D tensor_image2d = create_image2d_from_buffer(CLKernelLibrary::get().context(), tensor->cl_buffer(), + TensorShape(image_w, image_h), tensor->info()->data_type(), image_stride_y); + cl_images.push_back(tensor_image2d); + + _kernel.setArg(idx++, tensor_image2d); + add_4d_tensor_nhwc_argument(idx, tensor); + break; + } + default: + { + ARM_COMPUTE_ERROR("Unsupported"); + } + } +} + +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(); + // Don't slice matrix along the z dimension if matrix has just 2 dimensions and matrix A more than 2 + // This scenario can happen when the matrix multiplication is used to perform a convolution operation + Window slice_fixed_z = slice; + slice_fixed_z.set(Window::DimX, Window::Dimension(0, 1, 1)); + slice_fixed_z.set(Window::DimY, Window::Dimension(0, 1, 1)); + + /// 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 slide_along_dimz = true; + constexpr bool skip_sliding_window = false; + constexpr bool use_dummy_work_items = false; + + unsigned int idx = 0; + do + { + // Set kernel arguments + Window arg_slice = slice; + // CLImages created from tensor arguments. Need to be retained until enqueue + std::vector<cl::Image2D> cl_images; + for(auto id_arg : _arguments) + { + const auto arg = id_arg.second; + auto tensor = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(id_arg.first)); + ARM_COMPUTE_ERROR_ON_NULLPTR(tensor); + ARM_COMPUTE_ERROR_ON_NULLPTR(tensor->info()); + if(!slide_along_dimz) + { + // The stride_z for matrix must be zero if we do not slice + ARM_COMPUTE_ERROR_ON(tensor->info()->strides_in_bytes()[3] != 0); + arg_slice = slice_fixed_z; + } + add_tensor_argument(idx, *arg.kernel_argument_info(), tensor, arg_slice, 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 |