tf.keras.ops.while_loop

While loop implementation.

tf.keras.ops.while_loop(
    cond, body, loop_vars, maximum_iterations=None
)

Args
`cond`	A callable that represents the termination condition of the loop. Must accept a `loop_vars` like structure as an argument. If `loop_vars` is a tuple or list, each element of `loop_vars` will be passed positionally to the callable.
`body`	A callable that represents the loop body. Must accept a `loop_vars` like structure as an argument, and return update value with the same structure. If `loop_vars` is a tuple or list, each element of `loop_vars` will be passed positionally to the callable.
`loop_vars`	An arbitrary nested structure of tensor state to persist across loop iterations.
`maximum_iterations`	Optional maximum number of iterations of the while loop to run. If provided, the `cond` output is AND-ed with an additional condition ensuring the number of iterations executed is no greater than `maximum_iterations`.

Returns
A list/tuple of tensors, has the same shape and dtype as `inputs`.

i = 0
cond = lambda i: i < 10
body = lambda i: i + 1
keras.ops.while_loop(cond, body, i)
10

x, y = 0, 1
cond = lambda x, y: x < 10
body = lambda x, y: (x + 1, y + 1)
keras.ops.while_loop(cond, body, (x, y))
10, 11

Args