@Operator public final class HashTable extends PrimitiveOp implements Operand<Object>
This op creates a hash table, specifying the type of its keys and values. Before using the table you will have to initialize it. After initialization the table will be immutable.
Modifier and Type | Class and Description |
---|---|
static class |
HashTable.Options
Optional attributes for
HashTable |
operation
Modifier and Type | Method and Description |
---|---|
Output<Object> |
asOutput()
Returns the symbolic handle of a tensor.
|
static HashTable.Options |
container(String container) |
static <T,U> HashTable |
create(Scope scope,
Class<T> keyDtype,
Class<U> valueDtype,
HashTable.Options... options)
Factory method to create a class wrapping a new HashTable operation.
|
static HashTable.Options |
sharedName(String sharedName) |
Output<?> |
tableHandle()
Handle to a table.
|
static HashTable.Options |
useNodeNameSharing(Boolean useNodeNameSharing) |
equals, hashCode, op, toString
public static <T,U> HashTable create(Scope scope, Class<T> keyDtype, Class<U> valueDtype, HashTable.Options... options)
scope
- current scopekeyDtype
- Type of the table keys.valueDtype
- Type of the table values.options
- carries optional attributes valuespublic static HashTable.Options container(String container)
container
- If non-empty, this table is placed in the given container.
Otherwise, a default container is used.public static HashTable.Options sharedName(String sharedName)
sharedName
- If non-empty, this table is shared under the given name across
multiple sessions.public static HashTable.Options useNodeNameSharing(Boolean useNodeNameSharing)
useNodeNameSharing
- If true and shared_name is empty, the table is shared
using the node name.public Output<?> tableHandle()
public Output<Object> asOutput()
Operand
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.
asOutput
in interface Operand<Object>
OperationBuilder.addInput(Output)
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