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/r2.4/api_docs/python/tf/raw_ops/StatelessWhile