tf.raw_ops.InfeedEnqueueTuple

Feeds multiple Tensor values into the computation as an XLA tuple.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.InfeedEnqueueTuple

tf.raw_ops.InfeedEnqueueTuple(
    inputs, shapes, layouts=[], device_ordinal=-1, name=None
)

Args
inputs	A list of Tensor objects. A list of tensors that will be provided using the infeed mechanism.
shapes	A list of shapes (each a tf.TensorShape or list of ints). The shapes of each tensor in inputs.
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).

Returns
The created Operation.