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