tf.raw_ops.InfeedEnqueueTuple | TensorFlow v2.16.1 (original) (raw)
tf.raw_ops.InfeedEnqueueTuple
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Feeds multiple Tensor values into the computation as an XLA tuple.
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Compat aliases for migration
SeeMigration 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. |
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Last updated 2024-04-26 UTC.