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edgify / torch   python

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Version: 2.0.1+cpu 

/ include / torch / csrc / jit / tensorexpr / bounds_inference.h

#pragma once

#include <map>
#include <unordered_map>
#include <vector>

#include <torch/csrc/Export.h>
#include <torch/csrc/jit/tensorexpr/mem_dependency_checker.h>

namespace torch {
namespace jit {
namespace tensorexpr {

class Expr;
class Buf;
class Stmt;

enum C10_API_ENUM TensorAccessKind { kLoad, kStore, kMutate };

// NOLINTNEXTLINE(cppcoreguidelines-pro-type-member-init)
struct TORCH_API TensorAccessBoundsInfo {
  TensorAccessKind kind;
  std::vector<ExprPtr> start;
  std::vector<ExprPtr> stop;
};

using BoundsInfo =
    std::unordered_map<BufPtr, std::vector<TensorAccessBoundsInfo>>;

TORCH_API BoundsInfo inferBounds(StmtPtr s, bool distinctAccessKinds = true);

// Bounds inference caching the analysis. The MemDependencyChecker must already
// have been run.
TORCH_API BoundsInfo getInferredBounds(
    analysis::MemDependencyChecker& analyzer,
    StmtPtr s,
    bool distinctAccessKinds = true);
TORCH_API BoundsInfo getInferredBounds(
    analysis::MemDependencyChecker& analyzer,
    ExprPtr e,
    bool distinctAccessKinds = true);

TORCH_API void printBoundsInfo(const BoundsInfo& v);

TORCH_API std::vector<ExprPtr> getBoundExtents(
    const std::vector<TensorAccessBoundsInfo>& infos);

// The kind of dependency found, in increasing order of exclusivity.
enum class HazardKind {
  ReadAfterWrite,
  WriteAfterRead,
  WriteAfterWrite,
  NoDependency,
};
TORCH_API HazardKind getPotentialHazards(
    analysis::MemDependencyChecker& analyzer,
    StmtPtr A,
    StmtPtr B);

// Returns true if there is a conflicting overlap between accesses in
// statements A and B. A conflicting overlap is an overlap in buffer accesses
// where at least one of the accesses is a Store.
TORCH_API bool hasConflictingOverlap(
    analysis::MemDependencyChecker& analyzer,
    StmtPtr A,
    StmtPtr B);
// Same as above, between accesses in stores S1 and S2.
TORCH_API bool isOverlapping(
    analysis::MemDependencyChecker& analyzer,
    StorePtr S1,
    StorePtr S2);
// Same as above, between accesses in store S and load L.
TORCH_API bool isOverlapping(
    analysis::MemDependencyChecker& analyzer,
    StorePtr S,
    LoadPtr L);

} // namespace tensorexpr
} // namespace jit
} // namespace torch