tensorflow:: ops:: Assign
#include <state_ops.h>
Update 'ref' by assigning 'value' to it.
Summary
This operation outputs "ref" after the assignment is done. This makes it easier to chain operations that need to use the reset value.
Args:
- scope: A Scope object
- ref: Should be from a
Variable
node. May be uninitialized. - value: The value to be assigned to the variable.
Optional attributes (see Attrs
):
- validate_shape: If true, the operation will validate that the shape of 'value' matches the shape of the Tensor being assigned to. If false, 'ref' will take on the shape of 'value'.
- use_locking: If True, the assignment will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
Returns:
Output
: = Same as "ref". Returned as a convenience for operations that want to use the new value after the variable has been reset.
Constructors and Destructors |
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Assign(const ::tensorflow::Scope & scope, ::tensorflow::Input ref, ::tensorflow::Input value)
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Assign(const ::tensorflow::Scope & scope, ::tensorflow::Input ref, ::tensorflow::Input value, const Assign::Attrs & attrs)
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Public attributes |
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operation
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output_ref
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Public functions |
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node() const
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::tensorflow::Node *
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operator::tensorflow::Input() const
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operator::tensorflow::Output() const
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Public static functions |
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UseLocking(bool x)
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ValidateShape(bool x)
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Structs |
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tensorflow:: |
Optional attribute setters for Assign. |
Public attributes
operation
Operation operation
output_ref
::tensorflow::Output output_ref
Public functions
Assign
Assign( const ::tensorflow::Scope & scope, ::tensorflow::Input ref, ::tensorflow::Input value )
Assign
Assign( const ::tensorflow::Scope & scope, ::tensorflow::Input ref, ::tensorflow::Input value, const Assign::Attrs & attrs )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
Public static functions
UseLocking
Attrs UseLocking( bool x )
ValidateShape
Attrs ValidateShape( bool x )