tf.raw_ops.StatelessWhile
output = input; While (Cond(output)) { output = Body(output) }
tf.raw_ops.StatelessWhile(
input, cond, body, output_shapes=[], parallel_iterations=10, name=None
)
| Args | |
|---|---|
input |
A list of Tensor objects. A list of input tensors whose types are T. |
cond |
A function decorated with @Defun. A function takes 'input' and returns a tensor. If the tensor is a scalar of non-boolean, the scalar is converted to a boolean according to the following rule: if the scalar is a numerical value, non-zero means True and zero means False; if the scalar is a string, non-empty means True and empty means False. If the tensor is not a scalar, non-emptiness means True and False otherwise. This should only be used when the while condition and body functions do not have stateful ops. |
body |
A function decorated with @Defun. A function that takes a list of tensors and returns another list of tensors. Both lists have the same types as specified by T. |
output_shapes |
An optional list of shapes (each a tf.TensorShape or list of ints). Defaults to []. |
parallel_iterations |
An optional int. Defaults to 10. |
name |
A name for the operation (optional). |
| Returns | |
|---|---|
A list of Tensor objects. Has the same type as input. |
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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/StatelessWhile