proxy_graph.h

/**
 * \file src/core/impl/imperative/proxy_graph.h
 *
 * This file is part of MegBrain, a deep learning framework developed by Megvii.
 *
 * \copyright Copyright (c) 2014-2019 Megvii Inc. All rights reserved.
 *
 */

#pragma once

#include "megbrain/imperative.h"
#include "megbrain/graph/cg.h"
#include "megbrain/graph/grad_impl.h"
#include "megbrain/comp_node.h"

#include "megbrain/imperative/ops/backward_graph.h"

namespace mgb {
namespace imperative {

class ProxyGraph : public NonCopyableObj {
public:
    static ProxyGraph* get_default_graph();

    /********************** Physical Tensor API **********************/

    SmallVector<LogicalTensorDesc> infer_output_attrs(
            const OpDef& opdef,
            const SmallVector<Tensor*>& inputs);

    void invoke_op(
            const OpDef& opdef,
            const SmallVector<Tensor*>& inputs,
            const SmallVector<Tensor*>& outputs);

    BackwardGraphResult make_backward_graph(
            const OpDef& opdef,
            const SmallVector<LogicalTensorDesc>& input_descs,
            const SmallVector<bool>& input_requires_grad,
            const SmallVector<bool>& output_has_grad);

    /********************** Logical Tensor API **********************/

    size_t get_opr_output_size(
            const OpDef& opdef,
            const SmallVector<LogicalTensorDesc>& inputs);

    SmallVector<LogicalTensorDesc> infer_output_attrs_fallible(
            const OpDef& opdef,
            const SmallVector<LogicalTensorDesc>& inputs);

private:
    ProxyGraph();

    class ProxyGraphImpl;
    class ExecEnv;
    class StaticInferManager;
    class SeqCompNodeOptimizer;
    class InputPlaceholder;
    struct ProxyGraphInst;
    struct GradGraph;
    struct CurOprGuard;

    void reset();

    /********************** Physical Tensor Helper **********************/

    void cleanup();

    void init_output_tensor(
            const SmallVector<Tensor*>& outputs);

    cg::OperatorNodeBase* get_proxy_opr(
            const OpDef& opdef,
            const SmallVector<Tensor*>& inputs);

    /********************** Logical Tensor Helper **********************/

    cg::OperatorNodeBase* get_proxy_opr(
            const OpDef& opdef,
            const SmallVector<LogicalTensorDesc>& inputs);

    cg::VarNodeArray make_input_place_holders(
            const SmallVector<LogicalTensorDesc>& inputs);

    /********************** Common Helper **********************/

    void do_shape_infer(bool sync_value);

    TensorPtr as_tensor(cg::OperatorNodeBase* opr, bool share=true);

    cg::OperatorNodeBase* m_cur_opr = nullptr;
    std::unique_ptr<ProxyGraphImpl> m_graph;
    size_t m_max_op_cnt = 1000;
    std::unique_ptr<ExecEnv> m_env;
    std::unique_ptr<StaticInferManager> m_static_infer_manager;
    std::unique_ptr<SeqCompNodeOptimizer> m_seq_comp_node_optimizer;
};

} // namespace imperative
} // namespace mgb

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