tf.raw_ops.PartitionedCall
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
)
| 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. |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/PartitionedCall