Feeds multiple Tensor values into the computation as an XLA tuple.
Compat aliases for migration
See Migration guide for more details.
tf.raw_ops.InfeedEnqueueTuple( inputs, shapes, layouts=, device_ordinal=-1, name=None )
inputs: A list of
Tensorobjects. A list of tensors that will be provided using the infeed mechanism.
shapes: A list of shapes (each a
tf.TensorShapeor list of
ints). The shapes of each tensor in
layouts: An optional list of
ints. Defaults to
. 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.
device_ordinal: An optional
int. Defaults to
-1. 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.
name: A name for the operation (optional).
The created Operation.