tf.raw_ops.InfeedEnqueueTuple
Feeds multiple Tensor values into the computation as an XLA tuple.
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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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/InfeedEnqueueTuple