76 lines
2.6 KiB
C++
76 lines
2.6 KiB
C++
#ifndef CAFFE2_OPT_OPT_PASSS_H
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#define CAFFE2_OPT_OPT_PASSS_H
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#include "caffe2/core/common.h"
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#include "caffe2/core/workspace.h"
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#include "caffe2/proto/caffe2_pb.h"
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#include "nomnigraph/Representations/NeuralNet.h"
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using namespace nom::repr;
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namespace caffe2 {
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/* This file sets up the optimization pass registry.
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*
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* You'll want to either create a class that inherits from OptimizationPass
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* and implements run or use the REGISTER_OPT_PASS_FROM_FUNC(name, func)
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* to register a function that takes in an NNModule*.
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*
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* If you need access to the workspace in the optimization you'll need to
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* use a different registry and inherit from WorkspaceOptimizationPass.
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*/
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class TORCH_API OptimizationPass {
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public:
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OptimizationPass(NNModule* nn) : nn_(nn) {}
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virtual void run() = 0;
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virtual ~OptimizationPass() {}
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protected:
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NNModule* nn_;
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};
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class TORCH_API WorkspaceOptimizationPass : public OptimizationPass {
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public:
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WorkspaceOptimizationPass(NNModule* nn, Workspace* ws) : OptimizationPass(nn), ws_(ws) {}
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virtual ~WorkspaceOptimizationPass() {}
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protected:
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Workspace* ws_;
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};
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C10_DECLARE_REGISTRY(
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WorkspaceOptimizationPassRegistry,
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WorkspaceOptimizationPass,
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NNModule*,
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Workspace*);
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#define REGISTER_WS_OPT_PASS(clsname) \
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C10_REGISTER_CLASS(WorkspaceOptimizationPassRegistry, clsname, clsname)
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#define REGISTER_WS_OPT_PASS_FROM_FUNC(passname, funcname) \
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class passname : public WorkspaceOptimizationPass { \
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public: \
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using WorkspaceOptimizationPass::WorkspaceOptimizationPass; \
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void run() override { \
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funcname(nn_, ws_); \
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} \
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}; \
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REGISTER_WS_OPT_PASS(passname);
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C10_DECLARE_REGISTRY(OptimizationPassRegistry, OptimizationPass, NNModule*);
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#define REGISTER_OPT_PASS(clsname) \
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C10_REGISTER_CLASS(OptimizationPassRegistry, clsname, clsname)
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#define REGISTER_OPT_PASS_FROM_FUNC(passname, funcname) \
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class passname : public OptimizationPass { \
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public: \
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using OptimizationPass::OptimizationPass; \
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void run() override { \
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funcname(nn_); \
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} \
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}; \
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REGISTER_OPT_PASS(passname);
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} // namespace caffe2
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#endif // CAFFE2_OPT_OPT_PASSS_H
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