output = cond ? then_branch(input) : else_branch(input)

tf.raw_ops.If( cond, input, Tout, then_branch, else_branch, output_shapes=[], name=None )

Args | |
---|---|

`cond` | A `Tensor` . A Tensor. If the tensor is a scalar of non-boolean type, 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, being empty means False and being non-empty means True. |

`input` | A list of `Tensor` objects. A list of input tensors. |

`Tout` | A list of `tf.DTypes` . A list of output types. |

`then_branch` | A function decorated with @Defun. A function that takes 'inputs' and returns a list of tensors, whose types are the same as what else_branch returns. |

`else_branch` | A function decorated with @Defun. A function that takes 'inputs' and returns a list of tensors, whose types are the same as what then_branch returns. |

`output_shapes` | An optional list of shapes (each a `tf.TensorShape` or list of `ints` ). 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/r2.4/api_docs/python/tf/raw_ops/If