output = input; While (Cond(output)) { output = Body(output) }
tf.raw_ops.StatelessWhile(
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.
This should only be used when the while condition and body functions do not have stateful ops. |
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.
|