returns f(inputs), where f's body is placed and partitioned.
tf.raw_ops.PartitionedCall(
args, Tout, f, config='', config_proto='',
executor_type='', name=None
)
Asynchronously executes a function, potentially across multiple devices but within a single process. The kernel places and partitions a given function's underlying graph, and executes each of the partitioned subgraphs as a function.
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.
|