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:

• the created Operation

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	Operation

Public functions
operator::tensorflow::Operation() const

Public static functions
UseLocking(bool x)	Attrs

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
)