Calls a function in the DTensor device scope if layout is not None.
tf.experimental.dtensor.call_with_layout(
fn: Callable[..., Any],
layout: Optional[tf.experimental.dtensor.Layout],
*args,
**kwargs
) -> Any
| Used in the guide | Used in the tutorials |
|---|---|
If layout is not None, fn consumes DTensor(s) as input and produces a DTensor as output; a DTensor is a tf.Tensor with layout-related attributes.
If layout is None, fn consumes and produces regular tf.Tensors.
| Args | |
|---|---|
fn | A supported TF API function such as tf.zeros. |
layout | Optional, the layout of the output DTensor. |
*args | Arguments given to fn. |
**kwargs | Keyword arguments given to fn. |
| Returns | |
|---|---|
The return value of fn transformed to a DTensor if requested. |
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Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/experimental/dtensor/call_with_layout