Warning: This API is deprecated and will be removed in a future version of TensorFlow after the replacement is stable.

AnonymousHashTable

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public final class AnonymousHashTable

Creates a uninitialized anonymous hash table.

This op creates a new anonymous hash table (as a resource) everytime it is executed, with the specified dtype of its keys and values, returning the resource handle. Before using the table you will have to initialize it. After initialization the table will be immutable. 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.

Public Methods

Output<Object>
asOutput()
Returns the symbolic handle of a tensor.
static <T, U> AnonymousHashTable
create(Scope scope, Class<T> keyDtype, Class<U> valueDtype)
Factory method to create a class wrapping a new AnonymousHashTable operation.
Output<?>
tableHandle()
The resource handle to the newly created hash-table resource.

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 AnonymousHashTable create (Scope scope, Class<T> keyDtype, Class<U> valueDtype)

Factory method to create a class wrapping a new AnonymousHashTable operation.

Parameters
scope current scope
keyDtype Type of the table keys.
valueDtype Type of the table values.
Returns
  • a new instance of AnonymousHashTable

public Output<?> tableHandle ()

The resource handle to the newly created hash-table resource.