tf.raw_ops.InfeedEnqueue

An op which feeds a single Tensor value into the computation.

Compat aliases for migration

tf.compat.v1.raw_ops.InfeedEnqueue

tf.raw_ops.InfeedEnqueue(
    input, shape=[], layout=[], device_ordinal=-1, name=None
)

Args
`input`	A `Tensor`. A tensor that will be provided using the infeed mechanism.
`shape`	An optional `tf.TensorShape` or list of `ints`. Defaults to `[]`. The shape of the tensor.
`layout`	An optional list of `ints`. Defaults to `[]`. A vector holding the requested layout in minor-to-major sequence. If a layout attribute is passed, but its values are all -1, the 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/r2.4/api_docs/python/tf/raw_ops/InfeedEnqueue