Creates an empty anonymous mutable hash table of vector values.
This op creates a new anonymous mutable hash table (as a resource) everytime it is executed, with the specified dtype of its keys and values, returning the resource handle. Each value must be a vector. Data can be inserted into the table using the insert operations. It does not support the initialization operation. The table is anonymous in the sense that it can only be accessed by the returned resource handle (e.g. it cannot be looked up by a name in a resource manager). The table will be automatically deleted when all resource handles pointing to it are gone.
Nested Classes
| class | AnonymousMutableHashTableOfTensors.Options | Optional attributes for AnonymousMutableHashTableOfTensors
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Public Methods
| Output<Object> |
asOutput()
Returns the symbolic handle of a tensor.
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| static <T, U> AnonymousMutableHashTableOfTensors |
create(Scope scope, Class<T> keyDtype, Class<U> valueDtype, Options... options)
Factory method to create a class wrapping a new AnonymousMutableHashTableOfTensors operation.
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| Output<?> |
tableHandle()
The resource handle to the newly created hash-table resource.
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| static AnonymousMutableHashTableOfTensors.Options |
valueShape(Shape valueShape)
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Inherited Methods
Public Methods
public Output<Object> 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 AnonymousMutableHashTableOfTensors create (Scope scope, Class<T> keyDtype, Class<U> valueDtype, Options... options)
Factory method to create a class wrapping a new AnonymousMutableHashTableOfTensors operation.
Parameters
| scope | current scope |
|---|---|
| keyDtype | Type of the table keys. |
| valueDtype | Type of the table values. |
| options | carries optional attributes values |
Returns
- a new instance of AnonymousMutableHashTableOfTensors