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.
|
