Skip doctests for initializer examples.

jax/_src/nn/initializers.py

@@ -87,7 +87,7 @@ def uniform(scale=1e-2, dtype: DType = jnp.float_) -> Callable:
 
   >>> import jax, jax.numpy as jnp
   >>> initializer = jax.nn.initializers.uniform(10.0)
-  >>> initializer(jax.random.PRNGKey(42), (2, 3), jnp.float32)
+  >>> initializer(jax.random.PRNGKey(42), (2, 3), jnp.float32)  # doctest: +SKIP
   DeviceArray([[7.298188 , 8.691938 , 8.7230015],
                [2.0818567, 1.8662417, 5.5022564]], dtype=float32)
   """
@@ -109,7 +109,7 @@ def normal(stddev=1e-2, dtype: DType = jnp.float_) -> Callable:
 
   >>> import jax, jax.numpy as jnp
   >>> initializer = jax.nn.initializers.normal(5.0)
-  >>> initializer(jax.random.PRNGKey(42), (2, 3), jnp.float32)
+  >>> initializer(jax.random.PRNGKey(42), (2, 3), jnp.float32)  # doctest: +SKIP
   DeviceArray([[ 3.0613258 ,  5.6129413 ,  5.6866574 ],
                [-4.063663  , -4.4520254 ,  0.63115686]], dtype=float32)
    """
@@ -271,7 +271,7 @@ def glorot_uniform(in_axis: Union[int, Sequence[int]] = -2,
 
   >>> import jax, jax.numpy as jnp
   >>> initializer = jax.nn.initializers.glorot_uniform()
-  >>> initializer(jax.random.PRNGKey(42), (2, 3), jnp.float32)
+  >>> initializer(jax.random.PRNGKey(42), (2, 3), jnp.float32)  # doctest: +SKIP
   DeviceArray([[ 0.50350785,  0.8088631 ,  0.81566876],
                [-0.6393332 , -0.6865721 ,  0.11003882]], dtype=float32)
 
@@ -309,7 +309,7 @@ def glorot_normal(in_axis: Union[int, Sequence[int]] = -2,
 
   >>> import jax, jax.numpy as jnp
   >>> initializer = jax.nn.initializers.glorot_normal()
-  >>> initializer(jax.random.PRNGKey(42), (2, 3), jnp.float32)
+  >>> initializer(jax.random.PRNGKey(42), (2, 3), jnp.float32)  # doctest: +SKIP
   DeviceArray([[ 0.41770416,  0.75262755,  0.7619329 ],
                [-0.5516644 , -0.6028657 ,  0.08661086]], dtype=float32)
 
@@ -346,7 +346,7 @@ def lecun_uniform(in_axis: Union[int, Sequence[int]] = -2,
 
   >>> import jax, jax.numpy as jnp
   >>> initializer = jax.nn.initializers.lecun_uniform()
-  >>> initializer(jax.random.PRNGKey(42), (2, 3), jnp.float32)
+  >>> initializer(jax.random.PRNGKey(42), (2, 3), jnp.float32)  # doctest: +SKIP
   DeviceArray([[ 0.56293887,  0.90433645,  0.9119454 ],
                [-0.71479625, -0.7676109 ,  0.12302713]], dtype=float32)
 
@@ -381,7 +381,7 @@ def lecun_normal(in_axis: Union[int, Sequence[int]] = -2,
 
   >>> import jax, jax.numpy as jnp
   >>> initializer = jax.nn.initializers.lecun_normal()
-  >>> initializer(jax.random.PRNGKey(42), (2, 3), jnp.float32)
+  >>> initializer(jax.random.PRNGKey(42), (2, 3), jnp.float32)  # doctest: +SKIP
   DeviceArray([[ 0.46700746,  0.8414632 ,  0.8518669 ],
                [-0.61677957, -0.67402434,  0.09683388]], dtype=float32)
 
@@ -417,7 +417,7 @@ def he_uniform(in_axis: Union[int, Sequence[int]] = -2,
 
   >>> import jax, jax.numpy as jnp
   >>> initializer = jax.nn.initializers.kaiming_uniform()
-  >>> initializer(jax.random.PRNGKey(42), (2, 3), jnp.float32)
+  >>> initializer(jax.random.PRNGKey(42), (2, 3), jnp.float32)  # doctest: +SKIP
   DeviceArray([[ 0.79611576,  1.2789248 ,  1.2896855 ],
                [-1.0108745 , -1.0855657 ,  0.17398663]], dtype=float32)
 
@@ -455,7 +455,7 @@ def he_normal(in_axis: Union[int, Sequence[int]] = -2,
 
   >>> import jax, jax.numpy as jnp
   >>> initializer = jax.nn.initializers.kaiming_normal()
-  >>> initializer(jax.random.PRNGKey(42), (2, 3), jnp.float32)
+  >>> initializer(jax.random.PRNGKey(42), (2, 3), jnp.float32)  # doctest: +SKIP
   DeviceArray([[ 0.6604483 ,  1.1900088 ,  1.2047218 ],
                [-0.87225807, -0.95321447,  0.1369438 ]], dtype=float32)