postproc.h

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 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
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#ifndef TVM_META_SCHEDULE_POSTPROC_H_
#define TVM_META_SCHEDULE_POSTPROC_H_
 
#include <tvm/ffi/function.h>
#include <tvm/ffi/reflection/registry.h>
#include <tvm/runtime/object.h>
#include <tvm/tir/schedule/schedule.h>
 
namespace tvm {
namespace meta_schedule {
 
class TuneContext;
class Postproc;
 
class PostprocNode : public runtime::Object {
 public:
  virtual ~PostprocNode() = default;
 
  static void RegisterReflection() {
    namespace refl = tvm::ffi::reflection;
    refl::ObjectDef<PostprocNode>();
  }
 
  virtual void InitializeWithTuneContext(const TuneContext& context) = 0;
 
  virtual bool Apply(const tir::Schedule& sch) = 0;
 
  virtual Postproc Clone() const = 0;
 
  static constexpr const bool _type_mutable = true;
  TVM_FFI_DECLARE_OBJECT_INFO("meta_schedule.Postproc", PostprocNode, Object);
};
 
class Postproc : public runtime::ObjectRef {
 public:
  using FInitializeWithTuneContext = ffi::TypedFunction<void(const TuneContext&)>;
  using FApply = ffi::TypedFunction<bool(const tir::Schedule&)>;
  using FClone = ffi::TypedFunction<Postproc()>;
  using FAsString = ffi::TypedFunction<ffi::String()>;
  TVM_DLL static Postproc PyPostproc(FInitializeWithTuneContext f_initialize_with_tune_context,  //
                                     FApply f_apply,                                             //
                                     FClone f_clone,                                             //
                                     FAsString f_as_string);
  TVM_DLL static Postproc DisallowDynamicLoop();
  TVM_DLL static Postproc DisallowAsyncStridedMemCopy();
  TVM_DLL static Postproc RewriteCooperativeFetch();
  TVM_DLL static Postproc RewriteParallelVectorizeUnroll();
  TVM_DLL static Postproc RewriteReductionBlock();
  TVM_DLL static Postproc RewriteUnboundBlock(int max_threadblocks);
  TVM_DLL static Postproc RewriteTensorize(bool vectorize_init_loop = false);
  TVM_DLL static Postproc VerifyGPUCode();
  TVM_DLL static Postproc VerifyVTCMLimit();
  TVM_DLL static Postproc RewriteLayout();
  TVM_DLL static ffi::Array<Postproc, void> DefaultLLVM();
  TVM_DLL static ffi::Array<Postproc, void> DefaultCPUTensorization();
  TVM_DLL static ffi::Array<Postproc, void> DefaultRISCV();
  TVM_DLL static ffi::Array<Postproc, void> DefaultCUDA();
  TVM_DLL static ffi::Array<Postproc, void> DefaultCUDATensorCore();
  TVM_DLL static ffi::Array<Postproc, void> DefaultHexagon();
 
  TVM_FFI_DEFINE_OBJECT_REF_METHODS_NULLABLE(Postproc, ObjectRef, PostprocNode);
};
 
class PyPostprocNode : public PostprocNode {
 public:
  using FInitializeWithTuneContext = Postproc::FInitializeWithTuneContext;
  using FApply = Postproc::FApply;
  using FClone = Postproc::FClone;
  using FAsString = Postproc::FAsString;
  FInitializeWithTuneContext f_initialize_with_tune_context;
  FApply f_apply;
  FClone f_clone;
  FAsString f_as_string;
 
  static void RegisterReflection() {
    // `f_initialize_with_tune_context` is not registered
    // `f_apply` is not registered
    // `f_clone` is not registered
    // `f_as_string` is not registered
    namespace refl = tvm::ffi::reflection;
    refl::ObjectDef<PyPostprocNode>();
  }
 
  void InitializeWithTuneContext(const TuneContext& context) final;
  bool Apply(const tir::Schedule& sch) final;
  Postproc Clone() const final;
  TVM_FFI_DECLARE_OBJECT_INFO_FINAL("meta_schedule.PyPostproc", PyPostprocNode, PostprocNode);
};
 
}  // namespace meta_schedule
}  // namespace tvm
 
#endif  // TVM_META_SCHEDULE_POSTPROC_H_