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Diffstat (limited to 'src/gpu/cl/kernels/experimental/dynamic_fusion/ClCompositeKernel.cpp')
| -rw-r--r-- | src/gpu/cl/kernels/experimental/dynamic_fusion/ClCompositeKernel.cpp | 176 |
1 files changed, 176 insertions, 0 deletions
diff --git a/src/gpu/cl/kernels/experimental/dynamic_fusion/ClCompositeKernel.cpp b/src/gpu/cl/kernels/experimental/dynamic_fusion/ClCompositeKernel.cpp new file mode 100644 index 0000000000..05912dfd81 --- /dev/null +++ b/src/gpu/cl/kernels/experimental/dynamic_fusion/ClCompositeKernel.cpp @@ -0,0 +1,176 @@ +/* + * 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. + */ +#if defined(ENABLE_EXPERIMENTAL_DYNAMIC_FUSION) + +#include "src/gpu/cl/kernels/experimental/dynamic_fusion/ClCompositeKernel.h" +#include "arm_compute/core/CL/ICLTensor.h" +#include "src/core/CL/CLUtils.h" +#include "src/gpu/cl/ClKernelLibrary.h" + +namespace arm_compute +{ +namespace experimental +{ +namespace dynamic_fusion +{ +using namespace arm_compute::opencl; + +void ClCompositeKernel::configure(const ClCompileContext &compile_ctx, const ClKernelCode &cl_code) +{ + // Create kernel from kernel source string + opencl::ClKernelLibrary &klib = opencl::ClKernelLibrary::get(); + _kernel = static_cast<cl::Kernel>(compile_ctx.create_kernel(cl_code.name, + "" /* Program name: Used to as part of a unique string for built kernel cache. Not needed */, + cl_code.code, + klib.kernel_path() /* Kernel path: Used in cases of embedded kernels */, + cl_code.build_options.options(), + false /* Is source binary */)); + + // Configure execution window + IClKernel::configure_internal(cl_code.window); + + // Set config id for lws tuning + _config_id = cl_code.config_id; + + // Set kernel arguments + _arguments = cl_code.arguments; +} + +inline void ClCompositeKernel::add_tensor_argument(unsigned int &idx, const ClKernelArgRuntimeDescriptor &arg, ICLTensor *tensor, const Window &arg_slice) +{ + switch(arg.tensor_arg_type) + { + case TensorArgType::Scalar: + { + ARM_COMPUTE_ERROR("Unsupported yet"); + break; + } + + case TensorArgType::Vector: + { + add_1D_tensor_argument(idx, tensor, arg_slice); + break; + } + + case TensorArgType::Image: + { + add_2D_tensor_argument(idx, tensor, arg_slice); + break; + } + case TensorArgType::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 TensorArgType::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); + _kernel.setArg(idx++, tensor_image2d); + break; + } + + case TensorArgType::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 TensorArgType::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); + _kernel.setArg(idx++, tensor_image2d); + _kernel.setArg<cl_uint>(idx++, static_cast<unsigned int>(tensor->info()->strides_in_bytes()[2])); + break; + } + + case TensorArgType::Tensor_3D: + { + add_3D_tensor_argument(idx, tensor, arg_slice); + break; + } + + case TensorArgType::Tensor_4D: + { + add_4D_tensor_argument(idx, tensor, arg_slice); + break; + } + default: + { + ARM_COMPUTE_ERROR("Unsupported"); + } + } +} + +void ClCompositeKernel::run_composite_op(TensorBinding &tensors, const Window &window, cl::CommandQueue &queue, const ClExecutionDescriptor &exec_desc) +{ + ARM_COMPUTE_UNUSED(exec_desc); + 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)); + unsigned int idx = 0; + do + { + // Set kernel arguments + Window arg_slice = slice; + for(auto arg : _arguments) + { + auto tensor = tensors._binding.at(arg.arg_id); + ARM_COMPUTE_ERROR_ON_NULLPTR(tensor); + if(!arg.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, tensor, arg_slice); + } + + // Dispatch kernel + bool use_dummy_work_items = false; + enqueue(queue, *this, slice, lws_hint(), use_dummy_work_items); + } + while(window.slide_window_slice_3D(slice)); +} + +Status bind_arguments(ITensorPack &, const ClKernelCode &, const TensorBinding &) +{ + return Status{}; +} +} // namespace dynamic_fusion +} // namespace experimental +} // namespace arm_compute + +#endif // defined(ENABLE_EXPERIMENTAL_DYNAMIC_FUSION)
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