tf.raw_ops.While

output = input; While (Cond(output)) { output = Body(output) }

Compat aliases for migration

tf.compat.v1.raw_ops.While

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`.

Args