Add code-fences to doctest blocks.

Most >>> blocks already have ``` fences. Doctest runs them with or without the fences.
This change adds the ``` anywhere they're missing when api docs are generated from the docstrings. This will ensure that they look right when viewed as markdown.

+ fix docstring for `constant_initializer`: you can't have blank lines inside a doctest block. This prevents the rendering from getting corrupted.

PiperOrigin-RevId: 267009925

tensorflow/python/ops/init_ops.py

@@ -173,50 +173,42 @@ class Constant(Initializer):
     of the `value` list, even reshaped, as shown in the two commented lines
     below the `value` list initialization.
 
-  ```python
+  ```
-    >>> import numpy as np
-    >>> import tensorflow as tf
-
   >>> value = [0, 1, 2, 3, 4, 5, 6, 7]
   >>> # value = np.array(value)
   >>> # value = value.reshape([2, 4])
   >>> init = tf.compat.v1.constant_initializer(value)
-
+  >>>
-    >>> print('fitting shape:')
+  >>> # fitting shape
   >>> with tf.compat.v1.Session():
-    >>>   x = tf.compat.v1.get_variable('x', shape=[2, 4], initializer=init)
+  ...   x = tf.compat.v1.get_variable('x', shape=[2, 4], initializer=init)
-    >>>   x.initializer.run()
+  ...   x.initializer.run()
-    >>>   print(x.eval())
+  ...   print(x.eval())
-
-    fitting shape:
   [[0. 1. 2. 3.]
    [4. 5. 6. 7.]]
-
+  >>>
-    >>> print('larger shape:')
+  >>> # Larger shape
   >>> with tf.compat.v1.Session():
-    >>>   x = tf.compat.v1.get_variable('x', shape=[3, 4], initializer=init)
+  ...   x = tf.compat.v1.get_variable('x', shape=[3, 4], initializer=init)
-    >>>   x.initializer.run()
+  ...   x.initializer.run()
-    >>>   print(x.eval())
+  ...   print(x.eval())
-
-    larger shape:
   [[ 0.  1.  2.  3.]
    [ 4.  5.  6.  7.]
    [ 7.  7.  7.  7.]]
-
+  >>>
-    >>> print('smaller shape:')
+  >>> # Smaller shape
   >>> with tf.compat.v1.Session():
-    >>>   x = tf.compat.v1.get_variable('x', shape=[2, 3], initializer=init)
+  ...   x = tf.compat.v1.get_variable('x', shape=[2, 3], initializer=init)
-
   ValueError: Too many elements provided. Needed at most 6, but received 8
-
+  >>>
-    >>> print('shape verification:')
+  >>> # Shape verification
   >>> init_verify = tf.compat.v1.constant_initializer(value,
   verify_shape=True)
   >>> with tf.compat.v1.Session():
-    >>>   x = tf.compat.v1.get_variable('x', shape=[3, 4],
+  ...  x = tf.compat.v1.get_variable('x', shape=[3, 4],
-    initializer=init_verify)
+  ...                                 initializer=init_verify)
-
   TypeError: Expected Tensor's shape: (3, 4), got (8,).
+  >>>
   ```
   """
 

tensorflow/python/ops/init_ops_v2.py

@@ -150,40 +150,31 @@ class Constant(Initializer):
     below the `value` list initialization.
 
   ```python
-    >>> import numpy as np
-    >>> import tensorflow as tf
-
   >>> value = [0, 1, 2, 3, 4, 5, 6, 7]
   >>> # value = np.array(value)
   >>> # value = value.reshape([2, 4])
   >>> init = tf.compat.v1.constant_initializer(value)
-
+  >>>
-    >>> print('fitting shape:')
+  >>> # Fitting shape
   >>> with tf.compat.v1.Session():
-    >>>   x = tf.compat.v1.get_variable('x', shape=[2, 4], initializer=init)
+  ...   x = tf.compat.v1.get_variable('x', shape=[2, 4], initializer=init)
-    >>>   x.initializer.run()
+  ...   x.initializer.run()
-    >>>   print(x.eval())
+  ...   print(x.eval())
-
-    fitting shape:
   [[0. 1. 2. 3.]
    [4. 5. 6. 7.]]
-
+  >>> # Larger shape
-    >>> print('larger shape:')
   >>> with tf.compat.v1.Session():
-    >>>   x = tf.compat.v1.get_variable('x', shape=[3, 4], initializer=init)
+  ...   x = tf.compat.v1.get_variable('x', shape=[3, 4], initializer=init)
-    >>>   x.initializer.run()
+  ...   x.initializer.run()
-    >>>   print(x.eval())
+  ...   print(x.eval())
-
-    larger shape:
   [[ 0.  1.  2.  3.]
    [ 4.  5.  6.  7.]
    [ 7.  7.  7.  7.]]
-
+  >>> # Smaller shape
-    >>> print('smaller shape:')
   >>> with tf.compat.v1.Session():
-    >>>   x = tf.compat.v1.get_variable('x', shape=[2, 3], initializer=init)
+  ...   x = tf.compat.v1.get_variable('x', shape=[2, 3], initializer=init)
-
   ValueError: Too many elements provided. Needed at most 6, but received 8
+
   ```
   """