output = input; While (Cond(output)) { output = Body(output) }
tf.raw_ops.While(
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.
|
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 .
|