Apply tf1->tf2 name replaces to doc-strings and comments in tensorflow.

No code changes, only doc-strings and comments.

PiperOrigin-RevId: 243819553

tensorflow/python/debug/lib/debug_data.py

@@ -947,7 +947,8 @@ class DebugDumpDir(object):
       3) The parallel_iteration attribute of while-loop Enter ops are set to 1.
 
     Returns:
-      A dict mapping device names (`str`s) to reconstructed `tf.GraphDef`s.
+      A dict mapping device names (`str`s) to reconstructed
+      `tf.compat.v1.GraphDef`s.
     """
     non_debug_graphs = {}
     for key in self._debug_graphs:

tensorflow/python/debug/lib/debug_gradients.py

@@ -132,7 +132,7 @@ class GradientsDebugger(object):
 
     # Create a train op under the grad_debugger context.
     with grad_debugger:
-      train_op = tf.train.GradientDescentOptimizer(z)
+      train_op = tf.compat.v1.train.GradientDescentOptimizer(z)
 
     # Now we can reflect through grad_debugger to get the gradient tensor
     # with respect to y.
@@ -195,7 +195,7 @@ class GradientsDebugger(object):
     # Create a train op under the grad_debugger context.
     grad_debugger = tf_debug.GradientsDebugger()
     with grad_debugger.watch_gradients_by_tensors(y):
-      train_op = tf.train.GradientDescentOptimizer(z)
+      train_op = tf.compat.v1.train.GradientDescentOptimizer(z)
 
     # Now we can reflect through grad_debugger to get the gradient tensor
     # with respect to y.
@@ -247,7 +247,7 @@ class GradientsDebugger(object):
     # Create a train op under the grad_debugger context.
     grad_debugger = tf_debug.GradientsDebugger()
     with grad_debugger.watch_gradients_by_tensor_names(r"(x|y):0$"):
-      train_op = tf.train.GradientDescentOptimizer(z)
+      train_op = tf.compat.v1.train.GradientDescentOptimizer(z)
 
     # Now we can reflect through grad_debugger to get the gradient tensor
     # with respect to x and y.

tensorflow/python/debug/lib/debug_graphs.py

@@ -482,8 +482,8 @@ class DebugGraph(object):
 def reconstruct_non_debug_graph_def(debug_graph_def):
   """Reconstruct original (non-debugger-decorated) partition GraphDef.
 
-  This method strips the input `tf.GraphDef` of the Copy* and Debug*-type nodes
-  inserted by the debugger.
+  This method strips the input `tf.compat.v1.GraphDef` of the Copy* and
+  Debug*-type nodes inserted by the debugger.
 
   The reconstructed partition graph is identical to the original (i.e.,
     non-debugger-decorated) partition graph except in the following respects:
@@ -494,10 +494,11 @@ def reconstruct_non_debug_graph_def(debug_graph_def):
       3) The parallel_iteration attribute of while-loop Enter ops are set to 1.
 
   Args:
-    debug_graph_def: The debugger-decorated `tf.GraphDef`, with the
+    debug_graph_def: The debugger-decorated `tf.compat.v1.GraphDef`, with the
       debugger-inserted Copy* and Debug* nodes.
 
   Returns:
-    The reconstructed `tf.GraphDef` stripped of the debugger-inserted nodes.
+    The reconstructed `tf.compat.v1.GraphDef` stripped of the debugger-inserted
+    nodes.
   """
   return DebugGraph(debug_graph_def).non_debug_graph_def

tensorflow/python/debug/lib/dist_session_debug_grpc_test.py

@@ -12,7 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ==============================================================================
-"""Tests for debugger functionalities in tf.Session with grpc:// URLs.
+"""Tests for debugger functionalities in tf.compat.v1.Session with grpc:// URLs.
 
 This test focus on grpc:// debugging of distributed (gRPC) sessions.
 """

tensorflow/python/debug/lib/session_debug_grpc_test.py

@@ -12,7 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ==============================================================================
-"""Tests for debugger functionalities in tf.Session with grpc:// URLs.
+"""Tests for debugger functionalities in tf.compat.v1.Session with grpc:// URLs.
 
 This test file focuses on the grpc:// debugging of local (non-distributed)
 tf.Sessions.

tensorflow/python/debug/lib/session_debug_testlib.py

@@ -134,7 +134,7 @@ class SessionDebugTestBase(test_util.TensorFlowTestCase):
     """Run fetches with debugging and obtain DebugDumpDir.
 
     Args:
-      sess: the tf.Session to be used.
+      sess: the tf.compat.v1.Session to be used.
       fetches: fetches of the Session.run().
       feed_dict: feed dict for the Session.run().
       debug_ops: name(s) of the debug ops to be used.

tensorflow/python/debug/lib/source_remote.py

@@ -128,8 +128,8 @@ def _send_call_tracebacks(destinations,
     call_key: The key of the execution call, as a string. For graph execution,
       this is a string describing the feeds, fetches (and targets) names of the
       `tf.Session.run` call. For eager execution, this is ignored.
-    graph: A Python `tf.Graph` object (i.e., *not* a `tf.GraphDef`), which
-      contains op tracebacks, if applicable.
+    graph: A Python `tf.Graph` object (i.e., *not* a `tf.compat.v1.GraphDef`),
+      which contains op tracebacks, if applicable.
     send_source: Whether the source files involved in the op tracebacks but
       outside the TensorFlow library are to be sent.
   """
@@ -199,8 +199,8 @@ def send_graph_tracebacks(destinations,
     run_key: A string describing the feeds, fetches (and targets) names of the
       `tf.Session.run` call.
     origin_stack: The traceback of the `tf.Session.run()` invocation.
-    graph: A Python `tf.Graph` object (i.e., *not* a `tf.GraphDef`), which
-      contains op tracebacks.
+    graph: A Python `tf.Graph` object (i.e., *not* a `tf.compat.v1.GraphDef`),
+      which contains op tracebacks.
     send_source: Whether the source files involved in the op tracebacks but
       outside the TensorFlow library are to be sent.
   """

tensorflow/python/debug/lib/stepper.py

@@ -97,7 +97,7 @@ class NodeStepper(object):
     c = tf.add(a, b, name="c")
     d = tf.multiply(a, c, name="d")
 
-    sess = tf.Session()
+    sess = tf.compat.v1.Session()
     sess.run(tf.initialize_all_varialbes())
     stepper = NodeStepper(sess, d)
 

tensorflow/python/debug/wrappers/grpc_wrapper.py

@@ -180,7 +180,7 @@ class TensorBoardDebugWrapperSession(GrpcDebugWrapperSession):
     """Constructor of TensorBoardDebugWrapperSession.
 
     Args:
-      sess: The `tf.Session` instance to be wrapped.
+      sess: The `tf.compat.v1.Session` instance to be wrapped.
       grpc_debug_server_addresses: gRPC address(es) of debug server(s), as a
         `str` or a `list` of `str`s. E.g., "localhost:2333",
         "grpc://localhost:2333", ["192.168.0.7:2333", "192.168.0.8:2333"].

tensorflow/python/debug/wrappers/hooks.py

@@ -31,7 +31,7 @@ from tensorflow.python.training import session_run_hook
 class LocalCLIDebugHook(session_run_hook.SessionRunHook):
   """Command-line-interface debugger hook.
 
-  Can be used as a hook for `tf.train.MonitoredSession`s and
+  Can be used as a hook for `tf.compat.v1.train.MonitoredSession`s and
   `tf.estimator.Estimator`s. Provides a substitute for
   `tfdbg.LocalCLIDebugWrapperSession` in cases where the session is not directly
   available.
@@ -156,7 +156,7 @@ class LocalCLIDebugHook(session_run_hook.SessionRunHook):
 class DumpingDebugHook(session_run_hook.SessionRunHook):
   """A debugger hook that dumps debug data to filesystem.
 
-  Can be used as a hook for `tf.train.MonitoredSession`s and
+  Can be used as a hook for `tf.compat.v1.train.MonitoredSession`s and
   `tf.estimator.Estimator`s.
   """
 
@@ -235,7 +235,7 @@ class GrpcDebugHook(session_run_hook.SessionRunHook):
   When the arguments of debug_utils.watch_graph changes, strongly consider
   changing arguments here too so that features are available to tflearn users.
 
-  Can be used as a hook for `tf.train.MonitoredSession`s and
+  Can be used as a hook for `tf.compat.v1.train.MonitoredSession`s and
   `tf.estimator.Estimator`s.
   """