/** * \file dnn/src/common/handle_impl.h * MegEngine is Licensed under the Apache License, Version 2.0 (the "License") * * Copyright (c) 2014-2021 Megvii Inc. All rights reserved. * * Unless required by applicable law or agreed to in writing, * software distributed under the License is distributed on an * "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. */ #pragma once #include "megdnn/handle.h" #include "megdnn/oprs.h" #include "src/common/utils.h" #include #include "midout.h" MIDOUT_DECL(dnn_src_common_handle_impl) namespace megdnn { class HandleImplHelper : public Handle { public: using Handle::Handle; //! global matmul opr virtual MatrixMul* matmul_opr() { megdnn_throw("Unimplement matmul opr.\n"); } //! global matmul opr with first operand transposed virtual MatrixMul* matmul_aT_opr() { megdnn_throw("Unimplement matmul_aT opr.\n"); } //! global matmul opr with second operand transposed virtual MatrixMul* matmul_bT_opr() { megdnn_throw("Unimplement matmul_bT opr.\n"); } //! global matmul opr with both operand transposed virtual MatrixMul* matmul_aT_bT_opr() { megdnn_throw("Unimplement matmul_aT_bT opr.\n"); } //! global relayout opr virtual Relayout* relayout_opr() { megdnn_throw("Unimplement Relayout opr.\n"); } virtual Checksum* checksum_opr() { megdnn_throw("Unimplement Checksum opr.\n"); } virtual MaxTensorDiff* max_tensor_diff_opr() { megdnn_throw("Unimplement MaxTensorDiff opr.\n"); } protected: static constexpr size_t NR_HELPER_OPRS = 7; template static Opr* get_helper_opr(Self self, const typename Opr::Param& param = {}) { MIDOUT_BEGIN(dnn_src_common_handle_impl, Opr, idx) { static_assert(idx < NR_HELPER_OPRS, "invalid idx"); if (!self->m_helper_oprs[idx]) { std::lock_guard lg{self->m_helper_oprs_mtx}; if (!self->m_helper_oprs[idx]) { self->m_helper_oprs[idx] = self->template create_operator(); auto ret = static_cast(self->m_helper_oprs[idx].get()); ret->param() = param; megdnn_assert(ret->is_thread_safe()); return ret; } } return static_cast(self->m_helper_oprs[idx].get()); } MIDOUT_END(); } private: std::array, NR_HELPER_OPRS> m_helper_oprs; std::mutex m_helper_oprs_mtx; }; } // namespace megdnn /*! * \brief iterate though each operator class name; useful for explicit * instantialization of create_operator<> templates */ #define MEGDNN_FOREACH_OPR_CLASS(cb) \ cb(ConvolutionForward) \ cb(ConvolutionBackwardData) \ cb(ConvolutionBackwardFilter) \ cb(ConvPoolingForward) \ cb(ConvBiasForward) \ cb(Images2NeibsForward) \ cb(Images2NeibsBackward) \ cb(ElemwiseForward) \ cb(ElemwiseMultiType) \ cb(AddUpdateForward) \ cb(RelayoutForward) \ cb(PoolingForward) \ cb(PoolingBackward) \ cb(LocalForward) \ cb(LocalBackwardData) \ cb(LocalBackwardFilter) \ cb(LRNForward) \ cb(LRNBackward) \ cb(ROIPoolingForward) \ cb(ROIPoolingBackward) \ cb(WarpPerspectiveForward) \ cb(WarpPerspectiveBackwardData) \ cb(WarpPerspectiveBackwardMat) \ cb(DotForward) \ cb(MatrixInverse) \ cb(MatrixMulForward) \ cb(BatchedMatrixMulForward) \ cb(SVDForward) \ cb(ReduceForward) \ cb(CondTake) \ cb(CumsumForward) \ cb(ArgmaxForward) \ cb(ArgminForward) \ cb(TransposeForward) \ cb(ConcatForward) \ cb(SplitForward) \ cb(TileForward) \ cb(TileBackward) \ cb(RepeatForward) \ cb(RepeatBackward) \ cb(ArgsortForward) \ cb(ArgsortBackward) \ cb(TypeCvt) \ cb(IndexingRemapForward) \ cb(IndexingRemapBackward) \ cb(ChecksumForward) \ cb(IndexingOneHotForward) \ cb(IndexingSetOneHotForward) \ cb(IndexingMultiAxisVec) \ cb(IndexingSetMultiAxisVec) \ cb(IndexingIncrMultiAxisVec) \ cb(MeshIndexing) \ cb(IncrMeshIndexing) \ cb(SetMeshIndexing) \ cb(BatchedMeshIndexing) \ cb(BatchedIncrMeshIndexing) \ cb(BatchedSetMeshIndexing) \ cb(Linspace) \ cb(Eye) \ cb(SleepForward) \ cb(UniformRNG) \ cb(GaussianRNG) \ cb(GammaRNG) \ cb(BetaRNG) \ cb(PoissonRNG) \ cb(PermutationRNG) \ cb(SeparableConvForward) \ cb(SeparableFilterForward) \ cb(BNForward) \ cb(BNBackward) \ cb(GroupLocalForward) \ cb(GroupLocalBackwardData) \ cb(GroupLocalBackwardFilter) \ cb(Flip) \ cb(Rotate) \ cb(ROICopy) \ cb(CvtColor) \ cb(WarpAffine) \ cb(GaussianBlur) \ cb(Resize) \ cb(ResizeBackward) \ cb(ParamPackConcat) \ cb(MaxTensorDiff) \ cb(MaskConvForward) \ cb(MaskPropagate) \ cb(Convolution3DForward) \ cb(Convolution3DBackwardData) \ cb(Convolution3DBackwardFilter) \ cb(DeformableConvForward) \ cb(DeformableConvBackwardFilter) \ cb(DeformableConvBackwardData) \ cb(DeformablePSROIPoolingForward) \ cb(DeformablePSROIPoolingBackward) \ cb(RelayoutFormat) \ cb(TopK) \ cb(PowC) \ cb(LocalShareForward) \ cb(LocalShareBackwardData) \ cb(LocalShareBackwardFilter) \ cb(ROIAlignForward) \ cb(ROIAlignBackward) \ cb(CorrelationForward) \ cb(CorrelationBackwardData1) \ cb(CorrelationBackwardData2) \ cb(BatchConvBiasForward) \ cb(Remap) \ cb(RemapBackwardData) \ cb(RemapBackwardMat) \ cb(AdaptivePoolingForward) \ cb(AdaptivePoolingBackward) \ cb(DctChannelSelectForward) \ cb(FakeQuantForward) \ cb(FakeQuantBackward) \ cb(TQTForward) \ cb(TQTBackward) \ cb(CheckHasInf) \ cb(LSQForward) \ cb(LSQBackward) /*! * \brief specialize HandleImpl::create_operator for a single opr type; * implemented by Impl class */ #define MEGDNN_SPECIALIZE_CREATE_OPERATOR(opr) \ template <> \ std::unique_ptr HandleImpl::create_operator() { \ return megdnn::make_unique(this); \ } /*! * \brief for explicit instantiation for HandleImpl::create_operator methods */ #define MEGDNN_INST_CREATE_OPERATOR(opr) \ template std::unique_ptr HandleImpl::create_operator(); // vim: syntax=cpp.doxygen