# tf.raw_ops.InfeedEnqueue

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

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.raw_ops.InfeedEnqueue`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/InfeedEnqueue)

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

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| ## Args ||
|---|---|
| `input` | A `Tensor`. A tensor that will be provided using the infeed mechanism. |
| `shape` | An optional [`tf.TensorShape`](https://www.tensorflow.org/versions/r2.13/api_docs/python/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). |

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| ## Returns ||
|---|---|
| The created Operation. ||

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