| /* |
| * Copyright (c) 2022-2023 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. |
| */ |
| #ifndef SRC_DYNAMIC_FUSION_SKETCH_GPU_GPUWORKLOADSOURCECODE |
| #define SRC_DYNAMIC_FUSION_SKETCH_GPU_GPUWORKLOADSOURCECODE |
| |
| #include "arm_compute/core/experimental/Types.h" |
| #include "arm_compute/dynamic_fusion/sketch/MemoryDescriptor.h" |
| #include "src/dynamic_fusion/sketch/gpu/GpuKernelSourceCode.h" |
| |
| namespace arm_compute |
| { |
| namespace experimental |
| { |
| namespace dynamic_fusion |
| { |
| /** Uniquely identifies a @ref GpuUnitWorkload within a @ref GpuWorkloadSourceCode */ |
| using UnitWorkloadId = int32_t; |
| |
| /** Describes all the info related to a kernel in order to: |
| * - be used by runtime to configure gpu kernel argument |
| * - be used by memory managers to allocate required memory |
| */ |
| class GpuWorkloadArgument |
| { |
| public: |
| /** Default constructor */ |
| GpuWorkloadArgument() = default; |
| /** Constructor |
| * |
| * @param[in] tensor_info @ref ITensorInfo of the workload argument |
| * @param[in] mem_desc @ref MemoryDescriptor of the workload argument |
| * @param[in] kernel_arg_info @ref GpuKernelArgumentInfo of the workload argument |
| */ |
| GpuWorkloadArgument(const ITensorInfo &tensor_info, |
| const MemoryDescriptor &mem_desc, |
| const GpuKernelArgumentInfo &kernel_arg_info) |
| : _tensor_info{ tensor_info }, |
| _mem_desc{ mem_desc }, |
| _kernel_arg_info{ kernel_arg_info } |
| { |
| } |
| /** Get tensor id within workload */ |
| ITensorInfo::Id id() const |
| { |
| return _tensor_info.id(); |
| } |
| /** Get @ref ITensorInfo of the argument */ |
| ITensorInfo *tensor_info() |
| { |
| return &_tensor_info; |
| } |
| /** Get @ref ITensorInfo of the argument */ |
| const ITensorInfo *tensor_info() const |
| { |
| return &_tensor_info; |
| } |
| /** Get @ref MemoryDescriptor of the argument */ |
| MemoryDescriptor *memory_descriptor() |
| { |
| return &_mem_desc; |
| } |
| /** Get @ref MemoryDescriptor of the argument */ |
| const MemoryDescriptor *memory_descriptor() const |
| { |
| return &_mem_desc; |
| } |
| /** Get @ref GpuKernelArgumentInfo of the argument */ |
| GpuKernelArgumentInfo *kernel_argument_info() |
| { |
| return &_kernel_arg_info; |
| } |
| /** Get @ref GpuKernelArgumentInfo of the argument */ |
| const GpuKernelArgumentInfo *kernel_argument_info() const |
| { |
| return &_kernel_arg_info; |
| } |
| /** Check if the workload argument has valid id |
| * |
| * @return true If has valid id |
| * @return false Otherwise |
| */ |
| bool has_valid_id() const |
| { |
| return _tensor_info.has_valid_id(); |
| } |
| |
| private: |
| TensorInfo _tensor_info{}; |
| MemoryDescriptor _mem_desc{}; |
| GpuKernelArgumentInfo _kernel_arg_info{}; |
| }; |
| |
| /** Describes when a unit workload is run. |
| */ |
| struct UnitWorkloadStage |
| { |
| enum class Stage |
| { |
| Prepare, /**< Only run once at the beginning. */ |
| Run, /**< Run every time after the first time. */ |
| }; |
| Stage stage{ Stage::Run }; |
| }; |
| |
| inline bool operator==(const UnitWorkloadStage &stage0, const UnitWorkloadStage &stage1) |
| { |
| return stage0.stage == stage1.stage; |
| } |
| |
| /** The atomic unit in a Gpu workload. It contains exactly one kernel to run. |
| */ |
| class GpuUnitWorkload |
| { |
| public: |
| /** Default constructor */ |
| GpuUnitWorkload() = default; |
| /** Constructor |
| * |
| * @param[in] id Id that uniquely identifies this unit workload in a workload |
| * @param[in] kernel_code @ref GpuKernelSourceCode contained within |
| * @param[in] stage Stage of the unit workload |
| */ |
| GpuUnitWorkload(UnitWorkloadId id, const GpuKernelSourceCode &kernel_code, const UnitWorkloadStage &stage) |
| : _id{ id }, _kernel_code{ kernel_code }, _stage{ stage } |
| { |
| } |
| /** Get the id of the unit workload */ |
| UnitWorkloadId id() const |
| { |
| return _id; |
| } |
| /** Get reference to the underlying @ref GpuKernelSourceCode */ |
| const GpuKernelSourceCode &code() const |
| { |
| return _kernel_code; |
| } |
| /** Get the stage of the unit workload */ |
| UnitWorkloadStage stage() const |
| { |
| return _stage; |
| } |
| |
| private: |
| UnitWorkloadId _id{}; |
| GpuKernelSourceCode _kernel_code{}; |
| UnitWorkloadStage _stage{}; |
| }; |
| |
| /** Hold the generated kernel source code and other information required to compile and run the workload. |
| */ |
| class GpuWorkloadSourceCode |
| { |
| public: |
| /** Default constructor */ |
| GpuWorkloadSourceCode() = default; |
| /** Add a unit workload to the workload code |
| * |
| * @param[in] kernel_code @ref GpuKernelSourceCode to be contained within the unit workload |
| * @param[in] stage Stage of the unit workload |
| * @param[in] mem_map @ref MemoryDescriptor map for all tensors within the unit workload |
| * |
| * @return UnitWorkloadId Allocated unit workload id |
| */ |
| UnitWorkloadId add_unit_workload(const GpuKernelSourceCode &kernel_code, const UnitWorkloadStage &stage, const MemoryDescriptorMap &mem_map) |
| { |
| // Use the size of the kernel codes as Id |
| const auto uwk_id = static_cast<UnitWorkloadId>(_unit_workloads.size()); |
| const auto unit_work = GpuUnitWorkload(uwk_id, kernel_code, stage); |
| _unit_workloads.push_back(unit_work); |
| // Assemble kernel argument with memory descriptor to form workload argument |
| for(const auto &id_arg : kernel_code.arguments()) |
| { |
| const auto arg_id = id_arg.first; |
| const auto arg = id_arg.second; |
| _workload_arguments[arg_id] = GpuWorkloadArgument{ *arg.tensor_info(), mem_map.at(arg_id), *arg.kernel_argument_info() }; |
| if(_tensor_uwork_map.find(arg_id) == _tensor_uwork_map.end()) |
| { |
| _tensor_uwork_map[arg_id] = std::set<UnitWorkloadId>(); |
| } |
| _tensor_uwork_map[arg_id].insert(uwk_id); |
| } |
| return uwk_id; |
| } |
| /** Get a unit workload from its id */ |
| const GpuUnitWorkload &query_unit_workload(UnitWorkloadId id) const |
| { |
| ARM_COMPUTE_ERROR_ON(id < 0); |
| return _unit_workloads.at(id); |
| } |
| /** Get all unit workloads sorted in topological order */ |
| std::vector<UnitWorkloadId> unit_workloads() const |
| { |
| std::vector<UnitWorkloadId> ids{}; |
| |
| for(const auto &uwk : _unit_workloads) |
| { |
| ids.push_back(uwk.id()); |
| } |
| return ids; |
| } |
| /** Get a @ref GpuWorkloadArgument from its associated tensor id */ |
| const GpuWorkloadArgument *query_tensor(ITensorInfo::Id t_id) const |
| { |
| return &_workload_arguments.at(t_id); |
| } |
| /** Get all tensors in the entire workload */ |
| std::vector<ITensorInfo::Id> tensors() const |
| { |
| std::vector<ITensorInfo::Id> ids{}; |
| for(const auto &id_tensor : _workload_arguments) |
| { |
| ids.push_back(id_tensor.first); |
| } |
| return ids; |
| } |
| /** Get all unit workloads connected to the tensor with @p t_id */ |
| std::vector<UnitWorkloadId> get_unit_workloads_from_tensor(ITensorInfo::Id t_id) const |
| { |
| const auto unit_work_set = _tensor_uwork_map.at(t_id); |
| return std::vector<UnitWorkloadId>(unit_work_set.begin(), unit_work_set.end()); |
| } |
| |
| private: |
| std::vector<GpuUnitWorkload> _unit_workloads{}; |
| std::map<ITensorInfo::Id, GpuWorkloadArgument> _workload_arguments{}; |
| std::map<ITensorInfo::Id, std::set<UnitWorkloadId>> _tensor_uwork_map{}; |
| }; |
| } // namespace dynamic_fusion |
| } // namespace experimental |
| } // namespace arm_compute |
| #endif /* SRC_DYNAMIC_FUSION_SKETCH_GPU_GPUWORKLOADSOURCECODE */ |