t.Common().ByteSize = t.Type.Size()
	}
	for _, t := range tf.arraytypes {
		zeroArray(t)
	}
}

// readType reads a type from r at off of name. It adds types to the
// type cache, appends new typedef types to typedefs, and computes the
// sizes of types. Callers should pass nil for typedefs; this is used
// for internal recursion.

  bool Lookup(const std::string& key, T* value) {
    if (max_age_ == 0) {
      return false;
    }
    absl::MutexLock lock(&mu_);
    return LookupLocked(key, value);
  }

  typedef std::function<void(const std::string&, T*, TF_Status*)> ComputeFunc;

  /// Look up the entry with key `key` and copy it to `value` if found. If not
  /// found, call `compute_func`. If `compute_func` set `status` to `TF_OK`,

#include "tensorflow/core/lib/llvm_rtti/llvm_rtti.h"
#include "tensorflow/core/platform/errors.h"
#include "tensorflow/core/platform/types.h"

using tensorflow::string;

namespace tensorflow {
namespace tracing {
typedef absl::flat_hash_map<std::string, tracing::FactoryFunction> FactoriesMap;

static FactoriesMap& GetFactories() {
  static FactoriesMap* factories = new FactoriesMap;
  return *factories;
}

inline void PrintTo(unsigned char* s, ::std::ostream* os) {
  PrintTo(ImplicitCast_<const void*>(s), os);
}

// MSVC can be configured to define wchar_t as a typedef of unsigned
// short.  It defines _NATIVE_WCHAR_T_DEFINED when wchar_t is a native
// type.  When wchar_t is a typedef, defining an overload for const
// wchar_t* would cause unsigned short* be printed as a wide string,
// possibly causing invalid memory accesses.

inline void PrintTo(unsigned char* s, ::std::ostream* os) {
  PrintTo(ImplicitCast_<const void*>(s), os);
}

// MSVC can be configured to define wchar_t as a typedef of unsigned
// short.  It defines _NATIVE_WCHAR_T_DEFINED when wchar_t is a native
// type.  When wchar_t is a typedef, defining an overload for const
// wchar_t* would cause unsigned short* be printed as a wide string,
// possibly causing invalid memory accesses.

$for i [[
$range j 1..i
$range k 2..i

template <$for j, [[typename T$j]]>
class CartesianProductGenerator$i
    : public ParamGeneratorInterface< ::std::tr1::tuple<$for j, [[T$j]]> > {
 public:
  typedef ::std::tr1::tuple<$for j, [[T$j]]> ParamType;

  CartesianProductGenerator$i($for j, [[const ParamGenerator<T$j>& g$j]])
      : $for j, [[g$(j)_(g$j)]] {}
  virtual ~CartesianProductGenerator$i() {}

class QuantizationDialect;
}
namespace quantfork {
class QuantizationForkDialect;
}
namespace mhlo {
class MhloDialect;
}
namespace TF {
class TensorFlowDialect;
}
namespace TFL {
class TFLDialect;
typedef TFLDialect TensorFlowLiteDialect;
}  // namespace TFL
namespace func {
class FuncOp;
}
class ModuleOp;
template <typename T>
class OperationPass;
class Type;

namespace TFL {

    p->next_ = next_;
    return false;
  }

 private:
  mutable linked_ptr_internal const* next_;
};

template <typename T>
class linked_ptr {
 public:
  typedef T element_type;

  // Take over ownership of a raw pointer.  This should happen as soon as
  // possible after the object is created.
  explicit linked_ptr(T* ptr = NULL) { capture(ptr); }
  ~linked_ptr() { depart(); }

$for i [[
$range j 1..i
$range k 2..i

template <$for j, [[typename T$j]]>
class CartesianProductGenerator$i
    : public ParamGeneratorInterface< ::std::tr1::tuple<$for j, [[T$j]]> > {
 public:
  typedef ::std::tr1::tuple<$for j, [[T$j]]> ParamType;

  CartesianProductGenerator$i($for j, [[const ParamGenerator<T$j>& g$j]])
      : $for j, [[g$(j)_(g$j)]] {}
  virtual ~CartesianProductGenerator$i() {}

    p->next_ = next_;
    return false;
  }

 private:
  mutable linked_ptr_internal const* next_;
};

template <typename T>
class linked_ptr {
 public:
  typedef T element_type;

  // Take over ownership of a raw pointer.  This should happen as soon as
  // possible after the object is created.
  explicit linked_ptr(T* ptr = NULL) { capture(ptr); }
  ~linked_ptr() { depart(); }