public  final   class
      InfeedEnqueueTuple
Feeds multiple Tensor values into the computation as an XLA tuple.
Nested Classes
| class | InfeedEnqueueTuple.Options | Optional attributes for InfeedEnqueueTuple | |
Public Methods
| static InfeedEnqueueTuple | 
create(Scope scope, Iterable<Operand<?>> inputs, List<Shape> shapes, Options... options)
                
                   Factory method to create a class wrapping a new InfeedEnqueueTuple operation. | 
| static InfeedEnqueueTuple.Options | 
deviceOrdinal(Long deviceOrdinal)
                
               | 
| static InfeedEnqueueTuple.Options | 
layouts(List<Long> layouts)
                
               | 
Inherited Methods
Public Methods
public static InfeedEnqueueTuple create (Scope scope, Iterable<Operand<?>> inputs, List<Shape> shapes, Options... options)
Factory method to create a class wrapping a new InfeedEnqueueTuple operation.
Parameters
| scope | current scope | 
|---|---|
| inputs | A list of tensors that will be provided using the infeed mechanism. | 
| shapes | The shapes of each tensor in `inputs`. | 
| options | carries optional attributes values | 
Returns
- a new instance of InfeedEnqueueTuple
public static InfeedEnqueueTuple.Options deviceOrdinal (Long deviceOrdinal)
Parameters
| deviceOrdinal | The TPU device to use. This should be -1 when the Op is running on a TPU device, and >= 0 when the Op is running on the CPU device. | 
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public static InfeedEnqueueTuple.Options layouts (List<Long> layouts)
Parameters
| layouts | A vector holding the requested layout in minor-to-major sequence for all the tuple shapes, in the order the shapes appear in the "shapes" input. The layout elements for a sub-shape can be set to -1, in which case the corresponding layout will be computed by the infeed operation. | 
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