Update generated Python Op docs.

Change: 146176865

tensorflow/g3doc/api_docs/python/contrib.framework.md

@@ -35,6 +35,13 @@ be `dtypes.float32` or `dtypes.float64`. If neither `tensors` nor
       float.
 
 
+- - -
+
+### `tf.contrib.framework.assert_scalar(tensor, name=None)` {#assert_scalar}
+
+
+
+
 - - -
 
 ### `tf.contrib.framework.assert_scalar_int(tensor, name=None)` {#assert_scalar_int}
@@ -225,6 +232,27 @@ adds them via `tf.add_n`.
 *  <b>`ValueError`</b>: if `losses` is missing or empty.
 
 
+- - -
+
+### `tf.contrib.framework.remove_squeezable_dimensions(predictions, labels, name=None)` {#remove_squeezable_dimensions}
+
+Squeeze last dim if ranks of `predictions` and `labels` differ by 1.
+
+This will use static shape if available. Otherwise, it will add graph
+operations, which could result in a performance hit.
+
+##### Args:
+
+
+*  <b>`predictions`</b>: Predicted values, a `Tensor` of arbitrary dimensions.
+*  <b>`labels`</b>: Label values, a `Tensor` whose dimensions match `predictions`.
+*  <b>`name`</b>: Name of the op.
+
+##### Returns:
+
+  Tuple of `predictions` and `labels`, possibly with last dim squeezed.
+
+
 - - -
 
 ### `tf.contrib.framework.with_shape(expected_shape, tensor)` {#with_shape}
@@ -650,6 +678,46 @@ Create global step tensor in graph.
 *  <b>`ValueError`</b>: if global step key is already defined.
 
 
+- - -
+
+### `tf.contrib.framework.filter_variables(var_list, include_patterns=None, exclude_patterns=None, reg_search=True)` {#filter_variables}
+
+Filter a list of variables using regular expressions.
+
+First includes variables according to the list of include_patterns.
+Afterwards, eliminates variables according to the list of exclude_patterns.
+
+For example, one can obtain a list of variables with the weights of all
+convolutional layers (depending on the network definition) by:
+
+```python
+variables = tf.contrib.framework.get_model_variables()
+conv_weight_variables = tf.contrib.framework.filter_variables(
+    variables,
+    include_patterns=['Conv'],
+    exclude_patterns=['biases', 'Logits'])
+```
+
+##### Args:
+
+
+*  <b>`var_list`</b>: list of variables.
+*  <b>`include_patterns`</b>: list of regular expressions to include. Defaults to None,
+      which means all variables are selected according to the include rules.
+      A variable is included if it matches any of the include_patterns.
+*  <b>`exclude_patterns`</b>: list of regular expressions to exclude. Defaults to None,
+      which means all variables are selected according to the exclude rules.
+      A variable is excluded if it matches any of the exclude_patterns.
+*  <b>`reg_search`</b>: boolean. If True (default), performs re.search to find matches
+      (i.e. pattern can match any substring of the variable name). If False,
+      performs re.match (i.e. regexp should match from the beginning of the
+      variable name).
+
+##### Returns:
+
+  filtered list of variables.
+
+
 - - -
 
 ### `tf.train.get_global_step(graph=None)` {#get_global_step}

tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.contrib.framework.assert_scalar.md

@@ -0,0 +1,4 @@
+### `tf.contrib.framework.assert_scalar(tensor, name=None)` {#assert_scalar}
+
+
+

tensorflow/g3doc/api_docs/python/functions_and_classes/shard7/tf.contrib.framework.filter_variables.md

@@ -0,0 +1,37 @@
+### `tf.contrib.framework.filter_variables(var_list, include_patterns=None, exclude_patterns=None, reg_search=True)` {#filter_variables}
+
+Filter a list of variables using regular expressions.
+
+First includes variables according to the list of include_patterns.
+Afterwards, eliminates variables according to the list of exclude_patterns.
+
+For example, one can obtain a list of variables with the weights of all
+convolutional layers (depending on the network definition) by:
+
+```python
+variables = tf.contrib.framework.get_model_variables()
+conv_weight_variables = tf.contrib.framework.filter_variables(
+    variables,
+    include_patterns=['Conv'],
+    exclude_patterns=['biases', 'Logits'])
+```
+
+##### Args:
+
+
+*  <b>`var_list`</b>: list of variables.
+*  <b>`include_patterns`</b>: list of regular expressions to include. Defaults to None,
+      which means all variables are selected according to the include rules.
+      A variable is included if it matches any of the include_patterns.
+*  <b>`exclude_patterns`</b>: list of regular expressions to exclude. Defaults to None,
+      which means all variables are selected according to the exclude rules.
+      A variable is excluded if it matches any of the exclude_patterns.
+*  <b>`reg_search`</b>: boolean. If True (default), performs re.search to find matches
+      (i.e. pattern can match any substring of the variable name). If False,
+      performs re.match (i.e. regexp should match from the beginning of the
+      variable name).
+
+##### Returns:
+
+  filtered list of variables.
+

tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.contrib.framework.remove_squeezable_dimensions.md

@@ -0,0 +1,18 @@
+### `tf.contrib.framework.remove_squeezable_dimensions(predictions, labels, name=None)` {#remove_squeezable_dimensions}
+
+Squeeze last dim if ranks of `predictions` and `labels` differ by 1.
+
+This will use static shape if available. Otherwise, it will add graph
+operations, which could result in a performance hit.
+
+##### Args:
+
+
+*  <b>`predictions`</b>: Predicted values, a `Tensor` of arbitrary dimensions.
+*  <b>`labels`</b>: Label values, a `Tensor` whose dimensions match `predictions`.
+*  <b>`name`</b>: Name of the op.
+
+##### Returns:
+
+  Tuple of `predictions` and `labels`, possibly with last dim squeezed.
+

tensorflow/g3doc/api_docs/python/index.md

@@ -811,6 +811,7 @@
   * [`assert_global_step`](../../api_docs/python/contrib.framework.md#assert_global_step)
   * [`assert_or_get_global_step`](../../api_docs/python/contrib.framework.md#assert_or_get_global_step)
   * [`assert_same_float_dtype`](../../api_docs/python/contrib.framework.md#assert_same_float_dtype)
+  * [`assert_scalar`](../../api_docs/python/contrib.framework.md#assert_scalar)
   * [`assert_scalar_int`](../../api_docs/python/contrib.framework.md#assert_scalar_int)
   * [`assign_from_checkpoint`](../../api_docs/python/contrib.framework.md#assign_from_checkpoint)
   * [`assign_from_checkpoint_fn`](../../api_docs/python/contrib.framework.md#assign_from_checkpoint_fn)
@@ -821,6 +822,7 @@
   * [`deprecated`](../../api_docs/python/contrib.framework.md#deprecated)
   * [`deprecated_arg_values`](../../api_docs/python/contrib.framework.md#deprecated_arg_values)
   * [`deprecated_args`](../../api_docs/python/contrib.framework.md#deprecated_args)
+  * [`filter_variables`](../../api_docs/python/contrib.framework.md#filter_variables)
   * [`get_global_step`](../../api_docs/python/contrib.framework.md#get_global_step)
   * [`get_graph_from_inputs`](../../api_docs/python/contrib.framework.md#get_graph_from_inputs)
   * [`get_local_variables`](../../api_docs/python/contrib.framework.md#get_local_variables)
@@ -843,6 +845,7 @@
   * [`local_variable`](../../api_docs/python/contrib.framework.md#local_variable)
   * [`model_variable`](../../api_docs/python/contrib.framework.md#model_variable)
   * [`reduce_sum_n`](../../api_docs/python/contrib.framework.md#reduce_sum_n)
+  * [`remove_squeezable_dimensions`](../../api_docs/python/contrib.framework.md#remove_squeezable_dimensions)
   * [`variable`](../../api_docs/python/contrib.framework.md#variable)
   * [`VariableDeviceChooser`](../../api_docs/python/contrib.framework.md#VariableDeviceChooser)
   * [`with_same_shape`](../../api_docs/python/contrib.framework.md#with_same_shape)