Update docs.

Change: 147419923

tensorflow/python/ops/control_flow_ops.py

@@ -13,10 +13,7 @@
 # limitations under the License.
 # ==============================================================================
 
-"""## Control Flow Operations
+"""Control Flow Operations. See the @{python/control_flow_ops} guide.
-
-TensorFlow provides several operations and classes that you can use to control
-the execution of operations and add conditional dependencies to your graph.
 
 @@identity
 @@tuple
@@ -26,22 +23,10 @@ the execution of operations and add conditional dependencies to your graph.
 @@cond
 @@case
 @@while_loop
-
-## Logical Operators
-
-TensorFlow provides several operations that you can use to add logical operators
-to your graph.
-
 @@logical_and
 @@logical_not
 @@logical_or
 @@logical_xor
-
-## Comparison Operators
-
-TensorFlow provides several operations that you can use to add comparison
-operators to your graph.
-
 @@equal
 @@not_equal
 @@less
@@ -49,12 +34,6 @@ operators to your graph.
 @@greater
 @@greater_equal
 @@where
-
-## Debugging Operations
-
-TensorFlow provides several operations that you can use to validate values and
-debug your graph.
-
 @@is_finite
 @@is_inf
 @@is_nan

tensorflow/python/ops/script_ops.py

@@ -12,13 +12,10 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ==============================================================================
-"""## Script Language Operators.
 
-TensorFlow provides allows you to wrap python/numpy functions as
+"""Script Language Operators. See the @{python/script_ops} guide.
-TensorFlow operators.
 
 @@py_func
-
 """
 
 # pylint: disable=g-bad-name

tensorflow/python/ops/session_ops.py

@@ -12,10 +12,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ==============================================================================
-"""## Tensor Handle Operations.
 
-TensorFlow provides several operators that allows the user to keep tensors
+"""Tensor Handle Operations. See the @{python/session_ops} guide.
-"in-place" across run calls.
 
 @@get_session_handle
 @@get_session_tensor

tensorflow/python/ops/sparse_ops.py

@@ -14,25 +14,14 @@
 # ==============================================================================
 
 # pylint: disable=g-short-docstring-punctuation
-"""## Sparse Tensor Representation
+"""Sparse Tensor Representation. See the @{python/sparse_ops} guide.
-
-TensorFlow supports a `SparseTensor` representation for data that is sparse
-in multiple dimensions. Contrast this representation with `IndexedSlices`,
-which is efficient for representing tensors that are sparse in their first
-dimension, and dense along all other dimensions.
 
 @@SparseTensor
 @@SparseTensorValue
-
-## Conversion
-
 @@sparse_to_dense
 @@sparse_tensor_to_dense
 @@sparse_to_indicator
 @@sparse_merge
-
-## Manipulation
-
 @@sparse_concat
 @@sparse_reorder
 @@sparse_reshape
@@ -41,18 +30,15 @@ dimension, and dense along all other dimensions.
 @@sparse_reset_shape
 @@sparse_fill_empty_rows
 @@sparse_transpose
-
-## Reduction
 @@sparse_reduce_sum
 @@sparse_reduce_sum_sparse
-
-## Math Operations
 @@sparse_add
 @@sparse_softmax
 @@sparse_tensor_dense_matmul
 @@sparse_maximum
 @@sparse_minimum
 """
+
 from __future__ import absolute_import
 from __future__ import division
 from __future__ import print_function

tensorflow/python/ops/state_ops.py

@@ -13,46 +13,27 @@
 # limitations under the License.
 # ==============================================================================
 
-"""## Variables
+"""Variables. See the @{python/state_ops} guide.
 
 @@Variable
-
-## Variable helper functions
-
-TensorFlow provides a set of functions to help manage the set of variables
-collected in the graph.
-
 @@global_variables
 @@local_variables
 @@model_variables
 @@trainable_variables
 @@moving_average_variables
-
 @@global_variables_initializer
 @@local_variables_initializer
 @@variables_initializer
 @@is_variable_initialized
 @@report_uninitialized_variables
 @@assert_variables_initialized
-
 @@assign
 @@assign_add
 @@assign_sub
-
-## Saving and Restoring Variables
-
 @@Saver
-
 @@latest_checkpoint
-
 @@get_checkpoint_state
 @@update_checkpoint_state
-
-## Sharing Variables
-
-TensorFlow provides several classes and operations that you can use to
-create variables contingent on certain conditions.
-
 @@get_variable
 @@get_local_variable
 @@VariableScope
@@ -60,9 +41,7 @@ create variables contingent on certain conditions.
 @@variable_op_scope
 @@get_variable_scope
 @@make_template
-
 @@no_regularizer
-
 @@constant_initializer
 @@random_normal_initializer
 @@truncated_normal_initializer
@@ -71,27 +50,9 @@ create variables contingent on certain conditions.
 @@zeros_initializer
 @@ones_initializer
 @@orthogonal_initializer
-
-## Variable Partitioners for Sharding
-
 @@fixed_size_partitioner
 @@variable_axis_size_partitioner
 @@min_max_variable_partitioner
-
-## Sparse Variable Updates
-
-The sparse update ops modify a subset of the entries in a dense `Variable`,
-either overwriting the entries or adding / subtracting a delta.  These are
-useful for training embedding models and similar lookup-based networks, since
-only a small subset of embedding vectors change in any given step.
-
-Since a sparse update of a large tensor may be generated automatically during
-gradient computation (as in the gradient of
-[`tf.gather`](../../api_docs/python/array_ops.md#gather)),
-an [`IndexedSlices`](#IndexedSlices) class is provided that encapsulates a set
-of sparse indices and values.  `IndexedSlices` objects are detected and handled
-automatically by the optimizers in most cases.
-
 @@scatter_update
 @@scatter_add
 @@scatter_sub
@@ -102,25 +63,14 @@ automatically by the optimizers in most cases.
 @@scatter_nd_sub
 @@sparse_mask
 @@IndexedSlices
-
-### Read-only Lookup Tables
-
 @@initialize_all_tables
 @@tables_initializer
-
-
-## Exporting and Importing Meta Graphs
-
 @@export_meta_graph
 @@import_meta_graph
-
-# Deprecated functions (removed after 2017-03-02). Please don't use them.
-
 @@all_variables
 @@initialize_all_variables
 @@initialize_local_variables
 @@initialize_variables
-
 """
 
 from __future__ import absolute_import