1 files changed, 91 insertions, 1 deletions
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard7/tf.contrib.distributions.bijector.Inline.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard7/tf.contrib.distributions.bijector.Inline.md
index 0e59026427..646dacb9fc 100644
--- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard7/tf.contrib.distributions.bijector.Inline.md
+++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard7/tf.contrib.distributions.bijector.Inline.md
@@ -14,7 +14,7 @@ exp = Inline(
 The above example is equivalent to the `Bijector` `Exp(event_ndims=1)`.
 - - -
 
-#### `tf.contrib.distributions.bijector.Inline.__init__(forward_fn=None, inverse_fn=None, inverse_log_det_jacobian_fn=None, forward_log_det_jacobian_fn=None, is_constant_jacobian=False, validate_args=False, name='inline')` {#Inline.__init__}
+#### `tf.contrib.distributions.bijector.Inline.__init__(forward_fn=None, inverse_fn=None, inverse_log_det_jacobian_fn=None, forward_log_det_jacobian_fn=None, get_forward_event_shape_fn=None, forward_event_shape_fn=None, get_inverse_event_shape_fn=None, inverse_event_shape_fn=None, is_constant_jacobian=False, validate_args=False, name='inline')` {#Inline.__init__}
 
 Creates a `Bijector` from callables.
 
@@ -27,6 +27,14 @@ Creates a `Bijector` from callables.
     log o det o jacobian of the inverse transformation.
 *  <b>`forward_log_det_jacobian_fn`</b>: Python callable implementing the
     log o det o jacobian of the forward transformation.
+*  <b>`get_forward_event_shape_fn`</b>: Python callable implementing non-identical
+    static event shape changes. Default: shape is assumed unchanged.
+*  <b>`forward_event_shape_fn`</b>: Python callable implementing non-identical event
+    shape changes. Default: shape is assumed unchanged.
+*  <b>`get_inverse_event_shape_fn`</b>: Python callable implementing non-identical
+    static event shape changes. Default: shape is assumed unchanged.
+*  <b>`inverse_event_shape_fn`</b>: Python callable implementing non-identical event
+    shape changes. Default: shape is assumed unchanged.
 *  <b>`is_constant_jacobian`</b>: `Boolean` indicating that the Jacobian is constant
     for all input arguments.
 *  <b>`validate_args`</b>: `Boolean` indicating whether arguments should be checked
@@ -68,6 +76,26 @@ Returns the forward `Bijector` evaluation, i.e., X = g(Y).
 
 - - -
 
+#### `tf.contrib.distributions.bijector.Inline.forward_event_shape(input_shape, name='forward_event_shape')` {#Inline.forward_event_shape}
+
+Shape of a single sample from a single batch as an `int32` 1D `Tensor`.
+
+##### Args:
+
+
+*  <b>`input_shape`</b>: `Tensor`, `int32` vector indicating event-portion shape
+    passed into `forward` function.
+*  <b>`name`</b>: name to give to the op
+
+##### Returns:
+
+
+*  <b>`forward_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion
+    shape after applying `forward`.
+
+
+- - -
+
 #### `tf.contrib.distributions.bijector.Inline.forward_log_det_jacobian(x, name='forward_log_det_jacobian', **condition_kwargs)` {#Inline.forward_log_det_jacobian}
 
 Returns both the forward_log_det_jacobian.
@@ -94,6 +122,48 @@ Returns both the forward_log_det_jacobian.
 
 - - -
 
+#### `tf.contrib.distributions.bijector.Inline.get_forward_event_shape(input_shape)` {#Inline.get_forward_event_shape}
+
+Shape of a single sample from a single batch as a `TensorShape`.
+
+Same meaning as `forward_event_shape`. May be only partially defined.
+
+##### Args:
+
+
+*  <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into
+    `forward` function.
+
+##### Returns:
+
+
+*  <b>`forward_event_shape`</b>: `TensorShape` indicating event-portion shape after
+    applying `forward`. Possibly unknown.
+
+
+- - -
+
+#### `tf.contrib.distributions.bijector.Inline.get_inverse_event_shape(output_shape)` {#Inline.get_inverse_event_shape}
+
+Shape of a single sample from a single batch as a `TensorShape`.
+
+Same meaning as `inverse_event_shape`. May be only partially defined.
+
+##### Args:
+
+
+*  <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into
+    `inverse` function.
+
+##### Returns:
+
+
+*  <b>`inverse_event_shape`</b>: `TensorShape` indicating event-portion shape after
+    applying `inverse`. Possibly unknown.
+
+
+- - -
+
 #### `tf.contrib.distributions.bijector.Inline.inverse(y, name='inverse', **condition_kwargs)` {#Inline.inverse}
 
 Returns the inverse `Bijector` evaluation, i.e., X = g^{-1}(Y).
@@ -151,6 +221,26 @@ See `inverse()`, `inverse_log_det_jacobian()` for more details.
 
 - - -
 
+#### `tf.contrib.distributions.bijector.Inline.inverse_event_shape(output_shape, name='inverse_event_shape')` {#Inline.inverse_event_shape}
+
+Shape of a single sample from a single batch as an `int32` 1D `Tensor`.
+
+##### Args:
+
+
+*  <b>`output_shape`</b>: `Tensor`, `int32` vector indicating event-portion shape
+    passed into `inverse` function.
+*  <b>`name`</b>: name to give to the op
+
+##### Returns:
+
+
+*  <b>`inverse_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion
+    shape after applying `inverse`.
+
+
+- - -
+
 #### `tf.contrib.distributions.bijector.Inline.inverse_log_det_jacobian(y, name='inverse_log_det_jacobian', **condition_kwargs)` {#Inline.inverse_log_det_jacobian}
 
 Returns the (log o det o Jacobian o inverse)(y).