tf.raw_ops.If

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

Compat aliases for migration

tf.compat.v1.raw_ops.If

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`.

© 2020 The TensorFlow Authors. All rights reserved.
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/If

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