tensorflow:: ops:: ResourceScatterNdMin

#include <state_ops.h>

TODO: add doc.

Summary

Args:

  • scope: A Scope object
  • ref: A resource handle. Must be from a VarHandleOp.
  • indices: A Tensor . Must be one of the following types: int32, int64. A tensor of indices into ref.
  • updates: A Tensor . Must have the same type as ref. A tensor of values whose element wise min is taken with ref.

Optional attributes (see Attrs ):

  • use_locking: An optional bool. Defaults to True. If True, the assignment will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.

Returns:

Constructors and Destructors

ResourceScatterNdMin (const :: tensorflow::Scope & scope, :: tensorflow::Input ref, :: tensorflow::Input indices, :: tensorflow::Input updates)
ResourceScatterNdMin (const :: tensorflow::Scope & scope, :: tensorflow::Input ref, :: tensorflow::Input indices, :: tensorflow::Input updates, const ResourceScatterNdMin::Attrs & attrs)

Public attributes

operation

Public functions

operator::tensorflow::Operation () const

Public static functions

UseLocking (bool x)

Structs

tensorflow:: ops:: ResourceScatterNdMin:: Attrs

Optional attribute setters for ResourceScatterNdMin .

Public attributes

operation 

Operation operation

Public functions

ResourceScatterNdMin 

 ResourceScatterNdMin(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input ref,
  ::tensorflow::Input indices,
  ::tensorflow::Input updates
)

ResourceScatterNdMin 

 ResourceScatterNdMin(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input ref,
  ::tensorflow::Input indices,
  ::tensorflow::Input updates,
  const ResourceScatterNdMin::Attrs & attrs
)

operator::tensorflow::Operation 

 operator::tensorflow::Operation() const

Public static functions

UseLocking 

Attrs UseLocking(
  bool x
)