def test_partition(self):
with self.cached_session():
partition_enabled_initializers = [
initializers.ZerosV2(),
initializers.OnesV2(),
initializers.RandomUniformV2(),
initializers.RandomNormalV2(),
initializers.TruncatedNormalV2(),
initializers.LecunUniformV2(),
initializers.GlorotUniformV2(),
initializers.HeUniformV2()
]
for initializer in partition_enabled_initializers:
got = initializer(shape=(4, 2),
partition_shape=(2, 2),
partition_offset=(0, 0))
self.assertEqual(got.shape, (2, 2))
partition_forbidden_initializers = [
initializers.OrthogonalV2(),
initializers.IdentityV2()
]
for initializer in partition_forbidden_initializers:
with self.assertRaisesRegex(
ValueError,
"initializer doesn't support partition-related arguments"
):
initializer(shape=(4, 2),
partition_shape=(2, 2),
partition_offset=(0, 0))
def test_truncated_normal(self):
tensor_shape = (12, 99, 7)
with self.cached_session():
self._runner(
initializers.TruncatedNormalV2(mean=0, stddev=1, seed=126),
tensor_shape,
target_mean=0.,
target_max=2,
target_min=-2)