1 /* 2 * Copyright (c) 2017-2022 Arm Limited. 3 * 4 * SPDX-License-Identifier: MIT 5 * 6 * Permission is hereby granted, free of charge, to any person obtaining a copy 7 * of this software and associated documentation files (the "Software"), to 8 * deal in the Software without restriction, including without limitation the 9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or 10 * sell copies of the Software, and to permit persons to whom the Software is 11 * furnished to do so, subject to the following conditions: 12 * 13 * The above copyright notice and this permission notice shall be included in all 14 * copies or substantial portions of the Software. 15 * 16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 22 * SOFTWARE. 23 */ 24 #ifndef ARM_COMPUTE_CPU_ACTIVATION_KERNEL_H 25 #define ARM_COMPUTE_CPU_ACTIVATION_KERNEL_H 26 27 #include "src/core/common/Macros.h" 28 #include "src/cpu/ICpuKernel.h" 29 30 namespace arm_compute 31 { 32 namespace cpu 33 { 34 namespace kernels 35 { 36 /** Interface for the activation kernel */ 37 class CpuActivationKernel : public ICpuKernel<CpuActivationKernel> 38 { 39 private: 40 using ActivationKernelPtr = std::add_pointer<void(const ITensor *, ITensor *, const ActivationLayerInfo &, const Window &)>::type; 41 42 public: 43 CpuActivationKernel() = default; 44 ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuActivationKernel); 45 /** Configure kernel for a given list of arguments 46 * 47 * @note If the output tensor is a nullptr, the activation function will be performed in-place 48 * 49 * @param[in, out] src Source tensor info. In case of @p dst tensor = nullptr, this tensor will store the result 50 * of the activation function. Data types supported: QASYMM8/QASYMM8_SIGNED/QSYMM16/F16/F32. 51 * @param[out] dst Destination tensor info. Data type supported: same as @p src 52 * @param[in] activation_info Activation layer information. 53 */ 54 void configure(const ITensorInfo *src, ITensorInfo *dst, ActivationLayerInfo activation_info); 55 /** Static function to check if given info will lead to a valid configuration 56 * 57 * Similar to CpuActivationKernel::configure() 58 * 59 * @return a status 60 */ 61 static Status validate(const ITensorInfo *src, const ITensorInfo *dst, const ActivationLayerInfo &act_info); 62 63 /** Return minimum workload size of the relevant kernel 64 * 65 * @param[in] platform The CPU platform used to create the context. 66 * @param[in] thread_count Number of threads in the execution. 67 * 68 * @return[out] small_network_mws Minimum workload size for requsted configuration. 69 */ 70 size_t get_mws(const CPUInfo &platform, size_t thread_count) const override; 71 72 // Inherited methods overridden: 73 void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override; 74 const char *name() const override; 75 76 /** Get the preferred dimension in which the scheduler splits the work into multiple jobs. 77 * 78 * @return The split dimension hint. 79 */ get_split_dimension_hint()80 size_t get_split_dimension_hint() const 81 { 82 return _split_dimension; 83 } 84 85 struct ActivationKernel 86 { 87 const char *name; 88 const ActivationDataTypeISASelectorDataPtr is_selected; 89 ActivationKernelPtr ukernel; 90 }; 91 92 static const std::vector<ActivationKernel> &get_available_kernels(); 93 94 private: 95 ActivationLayerInfo _act_info{}; 96 ActivationKernelPtr _run_method{ nullptr }; 97 size_t _split_dimension{ Window::DimY }; 98 std::string _name{}; 99 }; 100 } // namespace kernels 101 } // namespace cpu 102 } // namespace arm_compute 103 #endif /* ARM_COMPUTE_CPU_ACTIVATION_KERNEL_H */ 104