tf.raw_ops.PartitionedCall

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

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.PartitionedCall

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

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.
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).

Returns
A list of Tensor objects of type Tout.