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66 changes: 65 additions & 1 deletion tests/linen/linen_test.py
Original file line number Diff line number Diff line change
Expand Up @@ -920,7 +920,7 @@ def loss_fn(params):
prev_loss = loss


class StochasticTest(absltest.TestCase):
class StochasticTest(parameterized.TestCase):
def test_dropout(self):
rng = random.key(0)
key1, key2 = random.split(rng)
Expand Down Expand Up @@ -975,6 +975,70 @@ def test_dropout_rate_limits(self):
res = jax.grad(lambda x, k: jnp.sum(fn(x, k)))(inputs, key3)
self.assertFalse(np.isnan(res).any())

@parameterized.parameters(
{
'num_dims': 2,
'broadcast_dims': (1,),
'slice_fn': lambda out, i: out[i, :],
'summed_total': 2 * 10,
},
{
'num_dims': 2,
'broadcast_dims': (0,),
'slice_fn': lambda out, i: out[:, i],
'summed_total': 2 * 10,
},
{
'num_dims': 3,
'broadcast_dims': (1, 2),
'slice_fn': lambda out, i: out[i, :, :],
'summed_total': 2 * 10 * 10,
},
{
'num_dims': 3,
'broadcast_dims': (1,),
'slice_fn': lambda out, i, j: out[i, :, j],
'summed_total': 2 * 10,
},
{
'num_dims': 4,
'broadcast_dims': (0, 2, 3),
'slice_fn': lambda out, i: out[:, i, :, :],
'summed_total': 2 * 10 * 10 * 10,
},
{
'num_dims': 4,
'broadcast_dims': (0, 1),
'slice_fn': lambda out, i, j: out[:, :, i, j],
'summed_total': 2 * 10 * 10,
},
{
'num_dims': 4,
'broadcast_dims': (3,),
'slice_fn': lambda out, i, j, k: out[i, j, k, :],
'summed_total': 2 * 10,
},
)
def test_dropout_broadcast(
self, num_dims, broadcast_dims, slice_fn, summed_total
):
module = nn.Dropout(
rate=0.5, broadcast_dims=broadcast_dims, deterministic=False
)
x = jnp.ones((10,) * num_dims)
out = module.apply({}, x, rngs={'dropout': random.key(0)})

for i in range(10):
if num_dims - len(broadcast_dims) >= 2:
for j in range(10):
if num_dims - len(broadcast_dims) >= 3:
for k in range(10):
self.assertTrue(slice_fn(out, i, j, k).sum() in (0, summed_total))
else:
self.assertTrue(slice_fn(out, i, j).sum() in (0, summed_total))
else:
self.assertTrue(slice_fn(out, i).sum() in (0, summed_total))

def test_dropout_manual_rng(self):
def clone(key):
if hasattr(jax.random, 'clone'):
Expand Down