def _get_rng_stack(count: int) -> jnp.ndarray:
rng = base.maybe_next_rng_key()
if rng is not None:
rng = jax.random.split(rng, count)
else:
rng = jnp.zeros([count, 2], dtype=jnp.uint32)
return rng
def __call__(self, x, *args_ys, reverse=False):
count = self._count
try:
init_fn, apply_fn = transform.transform(self._call_wrapped)
except ValueError as e:
raise LayerStackStateError(
"LayerStack can only be used in Haiku "
"functions which do not make use of Haiku "
"state.") from e
def per_layer_init_fn(c, a):
c, rng = c
if rng is not None:
rng, next_rng, apply_rng = jax.random.split(rng, 3)
else:
rng, next_rng, apply_rng = None, None, None
params = init_fn(rng, c, *a)
c, _ = apply_fn(params, apply_rng, c, *a)
return (c, next_rng), params
def scanned_init_fn(x, rng):
_, params = jax.lax.scan(per_layer_init_fn, (x, rng),
args_ys,
length=self._count)
return params
rng = base.maybe_next_rng_key()
lifted_init_fn = lift.transparent_lift(scanned_init_fn)
params = lifted_init_fn(x, rng)
# Use scan during apply, threading through random seed so that it's
# unique for each layer.
def layer(carry: LayerStackCarry,
scanned: LayerStackScanned) -> Tuple[LayerStackCarry, Any]:
rng = scanned.rng
params = scanned.params
kwargs = {}
if self._pass_reverse_to_layer_fn:
kwargs["reverse"] = reverse
out_x, z = apply_fn(params, rng, carry.x, *scanned.args_ys,
**kwargs)
return LayerStackCarry(x=out_x), z
rng = _get_rng_stack(count)
carry = LayerStackCarry(x=x)
scanned = LayerStackScanned(params=params, rng=rng, args_ys=args_ys)
carry, zs = jax.lax.scan(layer,
carry,
scanned,
length=count,
unroll=self._unroll,
reverse=reverse)
return carry.x, zs
def maybe_three():
for _ in range(3):
maybes.append(base.maybe_next_rng_key())
def test_maybe_no_rng(self):
self.assertIsNone(base.maybe_next_rng_key())
def test_maybe_rng_no_transform(self):
with self.assertRaisesRegex(
ValueError, "must be used as part of an `hk.transform`"):
base.maybe_next_rng_key()
