Fix links according to new convention.

Change: 147499520

Author: Patrick Nguyen

tensorflow/python/client/session.py

@@ -605,8 +605,8 @@ def as_default(self):
     """Returns a context manager that makes this object the default session.
 
     Use with the `with` keyword to specify that calls to
-    [`Operation.run()`](../../api_docs/python/framework.md#Operation.run) or
-    [`Tensor.eval()`](../../api_docs/python/framework.md#Tensor.eval) should be
+    @{tf.Operation.run} or
+    @{tf.Tensor.eval} should be
     executed in this session.
 
     ```python
@@ -619,7 +619,7 @@ def as_default(self):
     ```
 
     To get the current default session, use
-    [`tf.get_default_session()`](#get_default_session).
+    @{tf.get_default_session}.
 
 
     *N.B.* The `as_default` context manager *does not* close the
@@ -665,14 +665,14 @@ def run(self, fetches, feed_dict=None, options=None, run_metadata=None):
     nested list, tuple, namedtuple, dict, or OrderedDict containing graph
     elements at its leaves.  A graph element can be one of the following types:
 
-    * An [`Operation`](../../api_docs/python/framework.md#Operation).
+    * An @{tf.Operation}.
       The corresponding fetched value will be `None`.
-    * A [`Tensor`](../../api_docs/python/framework.md#Tensor).
+    * A @{tf.Tensor}.
       The corresponding fetched value will be a numpy ndarray containing the
       value of that tensor.
-    * A [`SparseTensor`](../../api_docs/python/sparse_ops.md#SparseTensor).
+    * A @{tf.SparseTensor}.
       The corresponding fetched value will be a
-      [`SparseTensorValue`](../../api_docs/python/sparse_ops.md#SparseTensorValue)
+      @{tf.SparseTensorValue}
       containing the value of that sparse tensor.
     * A `get_tensor_handle` op.  The corresponding fetched value will be a
       numpy ndarray containing the handle of that tensor.
@@ -708,16 +708,16 @@ def run(self, fetches, feed_dict=None, options=None, run_metadata=None):
     the value of tensors in the graph. Each key in `feed_dict` can be
     one of the following types:
 
-    * If the key is a [`Tensor`](../../api_docs/python/framework.md#Tensor), the
+    * If the key is a @{tf.Tensor}, the
       value may be a Python scalar, string, list, or numpy ndarray
       that can be converted to the same `dtype` as that
       tensor. Additionally, if the key is a
-      [placeholder](../../api_docs/python/io_ops.md#placeholder), the shape of
+      @{tf.placeholder}, the shape of
       the value will be checked for compatibility with the placeholder.
     * If the key is a
-      [`SparseTensor`](../../api_docs/python/sparse_ops.md#SparseTensor),
+      @{tf.SparseTensor},
       the value should be a
-      [`SparseTensorValue`](../../api_docs/python/sparse_ops.md#SparseTensorValue).
+      @{tf.SparseTensorValue}.
     * If the key is a nested tuple of `Tensor`s or `SparseTensor`s, the value
       should be a nested tuple with the same structure that maps to their
       corresponding values as above.
@@ -1120,10 +1120,10 @@ class Session(BaseSession):
   ```
 
   A session may own resources, such as
-  [variables](../../api_docs/python/state_ops.md#Variable), [queues](../../api_docs/python/io_ops.md#QueueBase),
-  and [readers](../../api_docs/python/io_ops.md#ReaderBase). It is important to release
+  @{tf.Variable}, @{tf.QueueBase},
+  and @{tf.ReaderBase}. It is important to release
   these resources when they are no longer required. To do this, either
-  invoke the [`close()`](#Session.close) method on the session, or use
+  invoke the @{tf.Session.close} method on the session, or use
   the session as a context manager. The following two examples are
   equivalent:
 
@@ -1166,7 +1166,7 @@ def __init__(self, target='', graph=None, config=None):
     Args:
       target: (Optional.) The execution engine to connect to.
         Defaults to using an in-process engine. See
-        [Distributed Tensorflow](https://www.tensorflow.org/how_tos/distributed/index.html)
+        @{$distributed$Distributed TensorFlow}
         for more examples.
       graph: (Optional.) The `Graph` to be launched (described above).
       config: (Optional.) A [`ConfigProto`](https://www.tensorflow.org/code/tensorflow/core/protobuf/config.proto)
@@ -1242,8 +1242,8 @@ class InteractiveSession(BaseSession):
 
   The only difference with a regular `Session` is that an `InteractiveSession`
   installs itself as the default session on construction.
-  The methods [`Tensor.eval()`](../../api_docs/python/framework.md#Tensor.eval)
-  and [`Operation.run()`](../../api_docs/python/framework.md#Operation.run)
+  The methods @{tf.Tensor.eval}
+  and @{tf.Operation.run}
   will use that session to run ops.
 
   This is convenient in interactive shells and [IPython

tensorflow/python/debug/wrappers/dumping_wrapper.py

@@ -39,7 +39,7 @@ def __init__(self, sess, session_root, watch_fn=None, log_usage=True):
       session_root: (`str`) Path to the session root directory. Must be a
         directory that does not exist or an empty directory. If the directory
         does not exist, it will be created by the debugger core during debug
-        [`Session.run()`](../../../g3doc/api_docs/python/client.md#session.run)
+        @{tf.Session.run}
         calls.
         As the `run()` calls occur, subdirectories will be added to
         `session_root`. The subdirectories' names has the following pattern:

tensorflow/python/framework/errors_impl.py

@@ -61,9 +61,9 @@ def op(self):
 
     *N.B.* If the failed op was synthesized at runtime, e.g. a `Send`
     or `Recv` op, there will be no corresponding
-    [`Operation`](../../api_docs/python/framework.md#Operation)
+    @{tf.Operation}
     object.  In that case, this will return `None`, and you should
-    instead use the [`OpError.node_def`](#OpError.node_def) to
+    instead use the @{tf.OpError.node_def} to
     discover information about the op.
 
     Returns:
@@ -156,10 +156,10 @@ class CancelledError(OpError):
   """Raised when an operation or step is cancelled.
 
   For example, a long-running operation (e.g.
-  [`queue.enqueue()`](../../api_docs/python/io_ops.md#QueueBase.enqueue) may be
+  @{tf.QueueBase.enqueue} may be
   cancelled by running another operation (e.g.
-  [`queue.close(cancel_pending_enqueues=True)`](../../api_docs/python/io_ops.md#QueueBase.close),
-  or by [closing the session](../../api_docs/python/client.md#Session.close).
+  @{tf.QueueBase.close},
+  or by @{tf.Session.close}.
   A step that is running such a long-running operation will fail by raising
   `CancelledError`.
 
@@ -194,9 +194,9 @@ class InvalidArgumentError(OpError):
 
   This may occur, for example, if an operation is receives an input
   tensor that has an invalid value or shape. For example, the
-  [`tf.matmul()`](../../api_docs/python/math_ops.md#matmul) op will raise this
+  @{tf.matmul} op will raise this
   error if it receives an input that is not a matrix, and the
-  [`tf.reshape()`](../../api_docs/python/array_ops.md#reshape) op will raise
+  @{tf.reshape} op will raise
   this error if the new shape does not match the number of elements in the input
   tensor.
 
@@ -227,7 +227,7 @@ class NotFoundError(OpError):
   """Raised when a requested entity (e.g., a file or directory) was not found.
 
   For example, running the
-  [`tf.WholeFileReader.read()`](../../api_docs/python/io_ops.md#WholeFileReader)
+  @{tf.WholeFileReader.read}
   operation could raise `NotFoundError` if it receives the name of a file that
   does not exist.
 
@@ -243,7 +243,7 @@ class AlreadyExistsError(OpError):
   """Raised when an entity that we attempted to create already exists.
 
   For example, running an operation that saves a file
-  (e.g. [`tf.train.Saver.save()`](../../api_docs/python/train.md#Saver.save))
+  (e.g. @{tf.train.Saver.save})
   could potentially raise this exception if an explicit filename for an
   existing file was passed.
 
@@ -260,7 +260,7 @@ class PermissionDeniedError(OpError):
   """Raised when the caller does not have permission to run an operation.
 
   For example, running the
-  [`tf.WholeFileReader.read()`](../../api_docs/python/io_ops.md#WholeFileReader)
+  @{tf.WholeFileReader.read}
   operation could raise `PermissionDeniedError` if it receives the name of a
   file for which the user does not have the read file permission.
 
@@ -306,7 +306,7 @@ class FailedPreconditionError(OpError):
   """Operation was rejected because the system is not in a state to execute it.
 
   This exception is most commonly raised when running an operation
-  that reads a [`tf.Variable`](../../api_docs/python/state_ops.md#Variable)
+  that reads a @{tf.Variable}
   before it has been initialized.
 
   @@__init__
@@ -322,9 +322,9 @@ class AbortedError(OpError):
   """The operation was aborted, typically due to a concurrent action.
 
   For example, running a
-  [`queue.enqueue()`](../../api_docs/python/io_ops.md#QueueBase.enqueue)
+  @{tf.QueueBase.enqueue}
   operation may raise `AbortedError` if a
-  [`queue.close()`](../../api_docs/python/io_ops.md#QueueBase.close) operation
+  @{tf.QueueBase.close} operation
   previously ran.
 
   @@__init__
@@ -339,9 +339,9 @@ class OutOfRangeError(OpError):
   """Raised when an operation iterates past the valid input range.
 
   This exception is raised in "end-of-file" conditions, such as when a
-  [`queue.dequeue()`](../../api_docs/python/io_ops.md#QueueBase.dequeue)
+  @{tf.QueueBase.dequeue}
   operation is blocked on an empty queue, and a
-  [`queue.close()`](../../api_docs/python/io_ops.md#QueueBase.close)
+  @{tf.QueueBase.close}
   operation executes.
 
   @@__init__
@@ -358,7 +358,7 @@ class UnimplementedError(OpError):
 
   Some operations may raise this error when passed otherwise-valid
   arguments that it does not currently support. For example, running
-  the [`tf.nn.max_pool()`](../../api_docs/python/nn.md#max_pool) operation
+  the @{tf.nn.max_pool} operation
   would raise this error if pooling was requested on the batch dimension,
   because this is not yet supported.
 
@@ -403,7 +403,7 @@ class DataLossError(OpError):
   """Raised when unrecoverable data loss or corruption is encountered.
 
   For example, this may be raised by running a
-  [`tf.WholeFileReader.read()`](../../api_docs/python/io_ops.md#WholeFileReader)
+  @{tf.WholeFileReader.read}
   operation, if the file is truncated while it is being read.
 
   @@__init__

tensorflow/python/framework/gen_docs_combined.py

@@ -37,7 +37,7 @@
 
 PREFIX_TEXT = """
 Note: Functions taking `Tensor` arguments can also take anything accepted by
-[`tf.convert_to_tensor`](framework.md#convert_to_tensor).
+@{tf.convert_to_tensor}.
 """
 
 

tensorflow/python/framework/importer.py

@@ -156,9 +156,10 @@ def import_graph_def(graph_def, input_map=None, return_elements=None,
   This function provides a way to import a serialized TensorFlow
   [`GraphDef`](https://www.tensorflow.org/code/tensorflow/core/framework/graph.proto)
   protocol buffer, and extract individual objects in the `GraphDef` as
-  [`Tensor`](#Tensor) and [`Operation`](#Operation) objects. See
-  [`Graph.as_graph_def()`](#Graph.as_graph_def) for a way to create a
-  `GraphDef` proto.
+  @{tf.Tensor} and @{tf.Operation} objects. Once extracted,
+  these objects are placed into the current default `Graph`. See
+  @{tf.Graph.as_graph_def} for a way to create a `GraphDef`
+  proto.
 
   Args:
     graph_def: A `GraphDef` proto containing operations to be imported into