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 .
|