schedule_rule.h

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 * to you under the Apache License, Version 2.0 (the
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#ifndef TVM_META_SCHEDULE_SCHEDULE_RULE_H_
#define TVM_META_SCHEDULE_SCHEDULE_RULE_H_
 
#include <tvm/ffi/container/array.h>
#include <tvm/ffi/container/map.h>
#include <tvm/ffi/function.h>
#include <tvm/ffi/optional.h>
#include <tvm/ffi/reflection/registry.h>
#include <tvm/ffi/string.h>
#include <tvm/ir/expr.h>
#include <tvm/runtime/object.h>
#include <tvm/tir/schedule/schedule.h>
 
namespace tvm {
namespace meta_schedule {
 
class TuneContext;
class ScheduleRule;
 
class ScheduleRuleNode : public runtime::Object {
 public:
  virtual ~ScheduleRuleNode() = default;
 
  static void RegisterReflection() {
    // No fields to register
  }
 
  virtual void InitializeWithTuneContext(const TuneContext& context) = 0;
 
  virtual Array<tir::Schedule> Apply(const tir::Schedule& sch, const tir::BlockRV& block) = 0;
 
  virtual ScheduleRule Clone() const = 0;
 
  static constexpr const char* _type_key = "meta_schedule.ScheduleRule";
  TVM_DECLARE_BASE_OBJECT_INFO(ScheduleRuleNode, Object);
};
 
class ScheduleRule : public runtime::ObjectRef {
 public:
  using FInitializeWithTuneContext = ffi::TypedFunction<void(const TuneContext&)>;
  using FApply =
      ffi::TypedFunction<Array<tir::Schedule>(const tir::Schedule&, const tir::BlockRV&)>;
  using FAsString = ffi::TypedFunction<String()>;
  using FClone = ffi::TypedFunction<ScheduleRule()>;
  TVM_DLL static ScheduleRule ApplyCustomRule();
  TVM_DLL static bool IsApplyCustomRule(const ScheduleRule& rule);
  TVM_DLL static ScheduleRule AutoInline(bool into_producer,          //
                                         bool into_consumer,          //
                                         bool inline_const_tensor,    //
                                         bool disallow_if_then_else,  //
                                         bool require_injective,      //
                                         bool require_ordered,        //
                                         Optional<Array<String>> disallow_op);
 
  TVM_DLL static ScheduleRule InlineConstantScalars();
 
  TVM_DLL static ScheduleRule MultiLevelTiling(String structure,                            //
                                               Optional<Array<String>> tile_binds,          //
                                               Optional<Integer> max_innermost_factor,      //
                                               Optional<Array<Integer>> vector_load_lens,   //
                                               Optional<Map<String, ffi::Any>> reuse_read,  //
                                               Optional<Map<String, ffi::Any>> reuse_write,
                                               Optional<ffi::Function> filter_fn = std::nullopt);
 
  TVM_DLL static ScheduleRule MultiLevelTilingWithIntrin(
      String intrin_name, String structure, Optional<Array<String>> tile_binds,
      Optional<Integer> max_innermost_factor, Optional<Array<Integer>> vector_load_lens,
      Optional<Map<String, ffi::Any>> reuse_read, Optional<Map<String, ffi::Any>> reuse_write);
 
  TVM_DLL static ScheduleRule MultiLevelTilingTensorCore(
      Array<Map<String, String>> intrin_groups, String structure,
      Optional<Array<String>> tile_binds, Optional<Integer> max_innermost_factor,
      Optional<Array<Integer>> vector_load_lens, Optional<Map<String, ffi::Any>> reuse_read,
      Optional<Map<String, ffi::Any>> reuse_write, bool use_software_pipeline);
 
  TVM_DLL static ScheduleRule MultiLevelTilingWideVector(
      String structure, Integer vector_length_in_bits, Optional<Integer> max_innermost_factor,
      Optional<Map<String, ffi::Any>> reuse_read, Optional<Map<String, ffi::Any>> reuse_write);
 
  TVM_DLL static ScheduleRule AddRFactor(int max_jobs_per_core,  //
                                         Optional<Integer> max_innermost_factor);
  TVM_DLL static ScheduleRule CrossThreadReduction(Array<Integer> thread_extents);
  TVM_DLL static ScheduleRule RandomComputeLocation();
  TVM_DLL static ScheduleRule ParallelizeVectorizeUnroll(int max_jobs_per_core,            //
                                                         int max_vectorize_extent,         //
                                                         Array<Integer> unroll_max_steps,  //
                                                         bool unroll_explicit);
  TVM_DLL static ScheduleRule AutoBind(int max_threadblocks, Array<Integer> thread_extents,
                                       int max_threads_per_block = -1);
  TVM_DLL static ScheduleRule PyScheduleRule(
      FInitializeWithTuneContext f_initialize_with_tune_context,  //
      FApply f_apply,                                             //
      FClone f_clone,                                             //
      FAsString f_as_string);
 
  TVM_DLL static Array<ScheduleRule, void> DefaultLLVM();
  TVM_DLL static Array<ScheduleRule, void> DefaultX86(const String& type);
  TVM_DLL static Array<ScheduleRule, void> DefaultCUDA();
  TVM_DLL static Array<ScheduleRule, void> DefaultCUDATensorCore();
  TVM_DLL static Array<ScheduleRule, void> DefaultHexagon();
  TVM_DLL static Array<ScheduleRule, void> DefaultARM(const String& type);
 
  TVM_DEFINE_MUTABLE_OBJECT_REF_METHODS(ScheduleRule, ObjectRef, ScheduleRuleNode);
};
 
class PyScheduleRuleNode : public ScheduleRuleNode {
 public:
  using FInitializeWithTuneContext = ScheduleRule::FInitializeWithTuneContext;
  using FApply = ScheduleRule::FApply;
  using FClone = ScheduleRule::FClone;
  using FAsString = ScheduleRule::FAsString;
 
  FInitializeWithTuneContext f_initialize_with_tune_context;
  FApply f_apply;
  FAsString f_as_string;
  FClone f_clone;
 
  static void RegisterReflection() {
    // `f_initialize_with_tune_context` is not registered
    // `f_apply` is not registered
    // `f_as_string` is not registered
    // `f_clone` is not registered
  }
 
  void InitializeWithTuneContext(const TuneContext& context) final;
  Array<tir::Schedule> Apply(const tir::Schedule& sch, const tir::BlockRV& block) final;
  ScheduleRule Clone() const final;
 
  static constexpr const char* _type_key = "meta_schedule.PyScheduleRule";
  TVM_DECLARE_FINAL_OBJECT_INFO(PyScheduleRuleNode, ScheduleRuleNode);
};
 
}  // namespace meta_schedule
}  // namespace tvm
 
#endif  // TVM_META_SCHEDULE_SCHEDULE_RULE_H_