Returns a tensor that may be mutated, but only persists within a single step.
This is an experimental op for internal use only and it is possible to use this op in unsafe ways. DO NOT USE unless you fully understand the risks.
It is the caller's responsibility to ensure that 'ref' is eventually passed to a matching 'DestroyTemporaryVariable' op after all other uses have completed.
Outputs a ref to the tensor state so it may be read or modified.
E.g. var = state_ops._temporary_variable([1, 2], types.float_) var_name = var.op.name var = state_ops.assign(var, [[4.0, 5.0]]) var = state_ops.assign_add(var, [[6.0, 7.0]]) final = state_ops._destroy_temporary_variable(var, var_name=var_name)
Nested Classes
class | TemporaryVariable.Options | Optional attributes for TemporaryVariable
|
Public Methods
Output<T> |
asOutput()
Returns the symbolic handle of a tensor.
|
static <T> TemporaryVariable<T> |
create(Scope scope, Shape shape, Class<T> dtype, Options... options)
Factory method to create a class wrapping a new TemporaryVariable operation.
|
Output<T> |
ref()
A reference to the variable tensor.
|
static TemporaryVariable.Options |
varName(String varName)
|
Inherited Methods
Public Methods
public Output<T> asOutput ()
Returns the symbolic handle of a tensor.
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
public static TemporaryVariable<T> create (Scope scope, Shape shape, Class<T> dtype, Options... options)
Factory method to create a class wrapping a new TemporaryVariable operation.
Parameters
scope | current scope |
---|---|
shape | The shape of the variable tensor. |
dtype | The type of elements in the variable tensor. |
options | carries optional attributes values |
Returns
- a new instance of TemporaryVariable
public static TemporaryVariable.Options varName (String varName)
Parameters
varName | Overrides the name used for the temporary variable resource. Default value is the name of the 'TemporaryVariable' op (which is guaranteed unique). |
---|