public final class
Variable
Holds state in the form of a tensor that persists across steps.
Outputs a ref to the tensor state so it may be read or modified. TODO(zhifengc/mrry): Adds a pointer to a more detail document about sharing states in tensorflow.
Nested Classes
| class | Variable.Options | Optional attributes for Variable
|
|
Constants
| String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
| Output<T> |
asOutput()
Returns the symbolic handle of the tensor.
|
| static Variable.Options |
container(String container)
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| static <T extends TType> Variable<T> |
create(Scope scope, Shape shape, Class<T> dtype, Options... options)
Factory method to create a class wrapping a new Variable operation.
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| Output<T> |
ref()
A reference to the variable tensor.
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| static Variable.Options |
sharedName(String sharedName)
|
Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Constant Value:
"VariableV2"
Public Methods
public Output<T> asOutput ()
Returns the symbolic handle of the 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 Variable.Options container (String container)
Parameters
| container | If non-empty, this variable is placed in the given container. Otherwise, a default container is used. |
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public static Variable<T> create (Scope scope, Shape shape, Class<T> dtype, Options... options)
Factory method to create a class wrapping a new Variable 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 Variable
public static Variable.Options sharedName (String sharedName)
Parameters
| sharedName | If non-empty, this variable is named in the given bucket with this shared_name. Otherwise, the node name is used instead. |
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