# tf.raw_ops.StatefulPartitionedCall

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returns `f(inputs)`, where `f`'s body is placed and partitioned.

#### View aliases


**Compat aliases for migration**

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

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

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    tf.raw_ops.StatefulPartitionedCall(
        args,
        Tout,
        f,
        config='',
        config_proto='',
        executor_type='',
        name=None
    )

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| ## Args ||
|---|---|
| `args` | A list of `Tensor` objects. A list of input tensors. |
| `Tout` | A list of `tf.DTypes`. A list of output types. |
| `f` | A function decorated with @Defun. A function that takes 'args', a list of tensors, and returns 'output', another list of tensors. Input and output types are specified by 'Tin' and 'Tout'. The function body of f will be placed and partitioned across devices, setting this op apart from the regular Call op. This op is stateful. |
| `config` | An optional `string`. Defaults to `""`. |
| `config_proto` | An optional `string`. Defaults to `""`. |
| `executor_type` | An optional `string`. Defaults to `""`. |
| `name` | A name for the operation (optional). |

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| ## Returns ||
|---|---|
| A list of `Tensor` objects of type `Tout`. ||

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