126 lines
5.2 KiB
C++
126 lines
5.2 KiB
C++
/*
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* Copyright (c) 2018-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef ARM_COMPUTE_NEGEMMASSEMBLYDISPATCH_H
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#define ARM_COMPUTE_NEGEMMASSEMBLYDISPATCH_H
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#include "arm_compute/runtime/IFunction.h"
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#include "arm_compute/runtime/IMemoryManager.h"
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#include "arm_compute/runtime/IWeightsManager.h"
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#include "arm_compute/runtime/MemoryGroup.h"
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#include "arm_compute/runtime/Tensor.h"
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namespace arm_compute
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{
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/* Convolution method supported by the assembly gemm interface */
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enum class AsmConvMethod
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{
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Im2Col,
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Indirect,
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Conv
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};
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struct AsmGemmInfo
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{
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AsmConvMethod method{ AsmConvMethod::Im2Col };
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PadStrideInfo ps_info{};
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ActivationLayerInfo activation_info{};
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GEMMLowpOutputStageInfo output_stage{};
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bool negated_offsets{ true };
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bool reinterpret_input_as_3d{ false };
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bool depth_output_gemm3d{ false };
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int64_t padding_top{ 0 };
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int64_t padding_left{ 0 };
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float padding_value{ 0.f };
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};
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/** Assembly kernel glue */
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class NEGEMMAssemblyDispatch : public IFunction
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{
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public:
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/** Constructor */
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NEGEMMAssemblyDispatch(std::shared_ptr<IMemoryManager> memory_manager = nullptr, IWeightsManager *weights_manager = nullptr);
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/** Prevent instances of this class from being copy constructed */
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NEGEMMAssemblyDispatch(const NEGEMMAssemblyDispatch &) = delete;
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/** Prevent instances of this class from being copied */
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NEGEMMAssemblyDispatch &operator=(const NEGEMMAssemblyDispatch &) = delete;
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NEGEMMAssemblyDispatch(NEGEMMAssemblyDispatch &&) = default;
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NEGEMMAssemblyDispatch &operator=(NEGEMMAssemblyDispatch &&) = default;
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~NEGEMMAssemblyDispatch() = default;
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class IFallback
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{
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public:
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virtual void run() = 0;
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virtual void prepare() = 0;
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virtual bool is_configured() const = 0;
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virtual ~IFallback() = default;
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};
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public:
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/** If supported create a Compute Library function else fallback to the arm_gemm function.
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*
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* @param[in] a Input tensor (Matrix A)
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* @param[in] b Input tensor (Matrix B)
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* @param[in] c Input tensor (Matrix C) used to pass the bias for quantized calculations
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* @param[out] d Output tensor to store the result of matrix multiplication. Data type supported: same as @p input0.
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* @param[in] info GEMM meta-data
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*/
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void configure(const ITensor *a, const ITensor *b, const ITensor *c, ITensor *d, const AsmGemmInfo &info);
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/** Indicates whether or not this function can be used to process the given parameters.
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*
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* @param[in] a Input tensor info (Matrix A)
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* @param[in] b Input tensor info (Matrix B)
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* @param[in] c Input tensor info (Matrix C) used to pass the bias for quantized calculations
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* @param[in] d Output tensor to store the result of matrix multiplication. Data type supported: same as @p input0.
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* @param[in] info GEMM meta-data
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*
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* @return a status.
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*/
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static Status validate(const ITensorInfo *a, const ITensorInfo *b, const ITensorInfo *c, const ITensorInfo *d, const AsmGemmInfo &info);
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/** Checks if activation is supported by the gemm assembly dispatcher
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*
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* @param[in] activation Activation to check
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*
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* @return True if activation is supported else false
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*/
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static bool is_activation_supported(const ActivationLayerInfo &activation);
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/** Was the function successfully configured ?
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*
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* @return True if the function is configured and ready to run
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*/
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bool is_configured() const;
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// Inherited methods overridden:
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void prepare() override;
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void run() override;
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private:
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std::unique_ptr<IFallback> _arm_gemm; /** Interface for the arm_gemm fallback */
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MemoryGroup _memory_group; /**< Function memory group */
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IWeightsManager *_weights_manager; /**< Pointer to the weights manager */
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};
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} // namespace arm_compute
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#endif /* ARM_COMPUTE_NEGEMMASSEMBLYDISPATCH_H */
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