tf.raw_ops.If
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. |
© 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/r2.4/api_docs/python/tf/raw_ops/If