diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf_debug.watch_graph_with_blacklists.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf_debug.watch_graph_with_blacklists.md
new file mode 100644
index 00000000000..64e084af3df
--- /dev/null
+++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf_debug.watch_graph_with_blacklists.md
@@ -0,0 +1,29 @@
+### `tf_debug.watch_graph_with_blacklists(run_options, graph, debug_ops='DebugIdentity', debug_urls=None, node_name_regex_blacklist=None, op_type_regex_blacklist=None)` {#watch_graph_with_blacklists}
+
+Add debug tensor watches, blacklisting nodes and op types.
+
+This is similar to `watch_graph()`, but the node names and op types are
+blacklisted, instead of whitelisted.
+
+N.B.: Under certain circumstances, not all specified `Tensor`s will be
+ actually watched (e.g., nodes that are constant-folded during runtime will
+ not be watched).
+
+##### Args:
+
+
+* `run_options`: An instance of `config_pb2.RunOptions` to be modified.
+* `graph`: An instance of `ops.Graph`.
+* `debug_ops`: (`str` or `list` of `str`) name(s) of the debug op(s) to use.
+* `debug_urls`: URL(s) to send ebug values to, e.g.,
+ `file:///tmp/tfdbg_dump_1`, `grpc://localhost:12345`.
+* `node_name_regex_blacklist`: Regular-expression blacklist for node_name.
+ This should be a string, e.g., `"(weight_[0-9]+|bias_.*)"`.
+* `op_type_regex_blacklist`: Regular-expression blacklist for the op type of
+ nodes, e.g., `"(Variable|Add)"`.
+ If both node_name_regex_blacklist and op_type_regex_blacklist
+ are set, the two filtering operations will occur in a logical `OR`
+ relation. In other words, a node will be excluded if it hits either of
+ the two blacklists; a node will be included if and only if it hits
+ neither of the blacklists.
+
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf_debug.LocalCLIDebugHook.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf_debug.LocalCLIDebugHook.md
new file mode 100644
index 00000000000..3e63f8768a5
--- /dev/null
+++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf_debug.LocalCLIDebugHook.md
@@ -0,0 +1,243 @@
+Command-line-interface debugger hook.
+
+Can be used as a monitor/hook for tf.train.MonitoredSession.
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.__enter__()` {#LocalCLIDebugHook.__enter__}
+
+
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.__exit__(exec_type, exec_value, exec_tb)` {#LocalCLIDebugHook.__exit__}
+
+
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.__init__()` {#LocalCLIDebugHook.__init__}
+
+Create a local debugger command-line interface (CLI) hook.
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.add_tensor_filter(filter_name, tensor_filter)` {#LocalCLIDebugHook.add_tensor_filter}
+
+Add a tensor filter.
+
+##### Args:
+
+
+* `filter_name`: (`str`) name of the filter.
+* `tensor_filter`: (`callable`) the filter callable. See the doc string of
+ `DebugDumpDir.find()` for more details about its signature.
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.after_create_session(session)` {#LocalCLIDebugHook.after_create_session}
+
+Called when new TensorFlow session is created.
+
+This is called to signal the hooks that a new session has been created. This
+has two essential differences with the situation in which `begin` is called:
+
+* When this is called, the graph is finalized and ops can no longer be added
+ to the graph.
+* This method will also be called as a result of recovering a wrapped
+ session, not only at the beginning of the overall session.
+
+##### Args:
+
+
+* `session`: A TensorFlow Session that has been created.
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.after_run(run_context, run_values)` {#LocalCLIDebugHook.after_run}
+
+
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.before_run(run_context)` {#LocalCLIDebugHook.before_run}
+
+
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.begin()` {#LocalCLIDebugHook.begin}
+
+
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.close()` {#LocalCLIDebugHook.close}
+
+
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.end(session)` {#LocalCLIDebugHook.end}
+
+Called at the end of session.
+
+The `session` argument can be used in case the hook wants to run final ops,
+such as saving a last checkpoint.
+
+##### Args:
+
+
+* `session`: A TensorFlow Session that will be soon closed.
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.graph` {#LocalCLIDebugHook.graph}
+
+
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.invoke_node_stepper(node_stepper, restore_variable_values_on_exit=True)` {#LocalCLIDebugHook.invoke_node_stepper}
+
+Overrides method in base class to implement interactive node stepper.
+
+##### Args:
+
+
+* `node_stepper`: (`stepper.NodeStepper`) The underlying NodeStepper API
+ object.
+* `restore_variable_values_on_exit`: (`bool`) Whether any variables whose
+ values have been altered during this node-stepper invocation should be
+ restored to their old values when this invocation ends.
+
+##### Returns:
+
+ The same return values as the `Session.run()` call on the same fetches as
+ the NodeStepper.
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.on_run_end(request)` {#LocalCLIDebugHook.on_run_end}
+
+Overrides on-run-end callback.
+
+##### Actions taken:
+
+ 1) Load the debug dump.
+ 2) Bring up the Analyzer CLI.
+
+##### Args:
+
+
+* `request`: An instance of OnSessionInitRequest.
+
+##### Returns:
+
+ An instance of OnSessionInitResponse.
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.on_run_start(request)` {#LocalCLIDebugHook.on_run_start}
+
+Overrides on-run-start callback.
+
+##### Invoke the CLI to let user choose what action to take:
+
+ `run` / `invoke_stepper`.
+
+##### Args:
+
+
+* `request`: An instance of `OnSessionInitRequest`.
+
+##### Returns:
+
+ An instance of `OnSessionInitResponse`.
+
+##### Raises:
+
+
+* `RuntimeError`: If user chooses to prematurely exit the debugger.
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.on_session_init(request)` {#LocalCLIDebugHook.on_session_init}
+
+Overrides on-session-init callback.
+
+##### Args:
+
+
+* `request`: An instance of `OnSessionInitRequest`.
+
+##### Returns:
+
+ An instance of OnSessionInitResponse.
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.partial_run(handle, fetches, feed_dict=None)` {#LocalCLIDebugHook.partial_run}
+
+
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.partial_run_setup(fetches, feeds=None)` {#LocalCLIDebugHook.partial_run_setup}
+
+Sets up the feeds and fetches for partial runs in the session.
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.run(fetches, feed_dict=None, options=None, run_metadata=None)` {#LocalCLIDebugHook.run}
+
+Wrapper around Session.run() that inserts tensor watch options.
+
+##### Args:
+
+
+* `fetches`: Same as the `fetches` arg to regular `Session.run()`.
+* `feed_dict`: Same as the `feed_dict` arg to regular `Session.run()`.
+* `options`: Same as the `options` arg to regular `Session.run()`.
+* `run_metadata`: Same as the `run_metadata` arg to regular `Session.run()`.
+
+##### Returns:
+
+ Simply forwards the output of the wrapped `Session.run()` call.
+
+##### Raises:
+
+
+* `ValueError`: On invalid `OnRunStartAction` value.
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.sess_str` {#LocalCLIDebugHook.sess_str}
+
+
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.session` {#LocalCLIDebugHook.session}
+
+
+
+
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf_debug.DebugTensorDatum.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf_debug.DebugTensorDatum.md
new file mode 100644
index 00000000000..b8b068ff0a3
--- /dev/null
+++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf_debug.DebugTensorDatum.md
@@ -0,0 +1,132 @@
+A single tensor dumped by TensorFlow Debugger (tfdbg).
+
+Contains metadata about the dumped tensor, including `timestamp`,
+`node_name`, `output_slot`, `debug_op`, and path to the dump file
+(`file_path`).
+
+This type does not hold the generally space-expensive tensor value (numpy
+array). Instead, it points to the file from which the tensor value can be
+loaded (with the `get_tensor` method) if needed.
+- - -
+
+#### `tf_debug.DebugTensorDatum.__init__(dump_root, debug_dump_rel_path)` {#DebugTensorDatum.__init__}
+
+`DebugTensorDatum` constructor.
+
+##### Args:
+
+
+* `dump_root`: (`str`) Debug dump root directory.
+* `debug_dump_rel_path`: (`str`) Path to a debug dump file, relative to the
+ `dump_root`. For example, suppose the debug dump root
+ directory is `/tmp/tfdbg_1` and the dump file is at
+ `/tmp/tfdbg_1/ns_1/node_a_0_DebugIdentity_123456789`, then
+ the value of the debug_dump_rel_path should be
+ `ns_1/node_a_0_DebugIdenity_1234456789`.
+
+##### Raises:
+
+
+* `ValueError`: If the base file name of the dump file does not conform to
+ the dump file naming pattern:
+ `node_name`_`output_slot`_`debug_op`_`timestamp`
+
+
+- - -
+
+#### `tf_debug.DebugTensorDatum.__repr__()` {#DebugTensorDatum.__repr__}
+
+
+
+
+- - -
+
+#### `tf_debug.DebugTensorDatum.__str__()` {#DebugTensorDatum.__str__}
+
+
+
+
+- - -
+
+#### `tf_debug.DebugTensorDatum.debug_op` {#DebugTensorDatum.debug_op}
+
+Name of the debug op.
+
+##### Returns:
+
+ (`str`) debug op name (e.g., `DebugIdentity`).
+
+
+- - -
+
+#### `tf_debug.DebugTensorDatum.file_path` {#DebugTensorDatum.file_path}
+
+Path to the file which stores the value of the dumped tensor.
+
+
+- - -
+
+#### `tf_debug.DebugTensorDatum.get_tensor()` {#DebugTensorDatum.get_tensor}
+
+Get tensor from the dump (`Event`) file.
+
+##### Returns:
+
+ The tensor loaded from the dump (`Event`) file.
+
+
+- - -
+
+#### `tf_debug.DebugTensorDatum.node_name` {#DebugTensorDatum.node_name}
+
+Name of the node from which the tensor value was dumped.
+
+##### Returns:
+
+ (`str`) name of the node watched by the debug op.
+
+
+- - -
+
+#### `tf_debug.DebugTensorDatum.output_slot` {#DebugTensorDatum.output_slot}
+
+Output slot index from which the tensor value was dumped.
+
+##### Returns:
+
+ (`int`) output slot index watched by the debug op.
+
+
+- - -
+
+#### `tf_debug.DebugTensorDatum.tensor_name` {#DebugTensorDatum.tensor_name}
+
+Name of the tensor watched by the debug op.
+
+##### Returns:
+
+ (`str`) `Tensor` name, in the form of `node_name`:`output_slot`
+
+
+- - -
+
+#### `tf_debug.DebugTensorDatum.timestamp` {#DebugTensorDatum.timestamp}
+
+Timestamp of when this tensor value was dumped.
+
+##### Returns:
+
+ (`int`) The timestamp in microseconds.
+
+
+- - -
+
+#### `tf_debug.DebugTensorDatum.watch_key` {#DebugTensorDatum.watch_key}
+
+Watch key identities a debug watch on a tensor.
+
+##### Returns:
+
+ (`str`) A watch key, in the form of `tensor_name`:`debug_op`.
+
+
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf_debug.LocalCLIDebugWrapperSession.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf_debug.LocalCLIDebugWrapperSession.md
new file mode 100644
index 00000000000..9c4fdc50640
--- /dev/null
+++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf_debug.LocalCLIDebugWrapperSession.md
@@ -0,0 +1,205 @@
+Concrete subclass of BaseDebugWrapperSession implementing a local CLI.
+
+This class has all the methods that a `session.Session` object has, in order
+to support debugging with minimal code changes. Invoking its `run()` method
+will launch the command-line interface (CLI) of tfdbg.
+- - -
+
+#### `tf_debug.LocalCLIDebugWrapperSession.__enter__()` {#LocalCLIDebugWrapperSession.__enter__}
+
+
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugWrapperSession.__exit__(exec_type, exec_value, exec_tb)` {#LocalCLIDebugWrapperSession.__exit__}
+
+
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugWrapperSession.__init__(sess, dump_root=None, log_usage=True)` {#LocalCLIDebugWrapperSession.__init__}
+
+Constructor of LocalCLIDebugWrapperSession.
+
+##### Args:
+
+
+* `sess`: The TensorFlow `Session` object being wrapped.
+* `dump_root`: (`str`) optional path to the dump 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
+ `run()` calls and removed afterwards.
+* `log_usage`: (`bool`) whether the usage of this class is to be logged.
+
+##### Raises:
+
+
+* `ValueError`: If dump_root is an existing and non-empty directory or if
+ dump_root is a file.
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugWrapperSession.add_tensor_filter(filter_name, tensor_filter)` {#LocalCLIDebugWrapperSession.add_tensor_filter}
+
+Add a tensor filter.
+
+##### Args:
+
+
+* `filter_name`: (`str`) name of the filter.
+* `tensor_filter`: (`callable`) the filter callable. See the doc string of
+ `DebugDumpDir.find()` for more details about its signature.
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugWrapperSession.close()` {#LocalCLIDebugWrapperSession.close}
+
+
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugWrapperSession.graph` {#LocalCLIDebugWrapperSession.graph}
+
+
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugWrapperSession.invoke_node_stepper(node_stepper, restore_variable_values_on_exit=True)` {#LocalCLIDebugWrapperSession.invoke_node_stepper}
+
+Overrides method in base class to implement interactive node stepper.
+
+##### Args:
+
+
+* `node_stepper`: (`stepper.NodeStepper`) The underlying NodeStepper API
+ object.
+* `restore_variable_values_on_exit`: (`bool`) Whether any variables whose
+ values have been altered during this node-stepper invocation should be
+ restored to their old values when this invocation ends.
+
+##### Returns:
+
+ The same return values as the `Session.run()` call on the same fetches as
+ the NodeStepper.
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugWrapperSession.on_run_end(request)` {#LocalCLIDebugWrapperSession.on_run_end}
+
+Overrides on-run-end callback.
+
+##### Actions taken:
+
+ 1) Load the debug dump.
+ 2) Bring up the Analyzer CLI.
+
+##### Args:
+
+
+* `request`: An instance of OnSessionInitRequest.
+
+##### Returns:
+
+ An instance of OnSessionInitResponse.
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugWrapperSession.on_run_start(request)` {#LocalCLIDebugWrapperSession.on_run_start}
+
+Overrides on-run-start callback.
+
+##### Invoke the CLI to let user choose what action to take:
+
+ `run` / `invoke_stepper`.
+
+##### Args:
+
+
+* `request`: An instance of `OnSessionInitRequest`.
+
+##### Returns:
+
+ An instance of `OnSessionInitResponse`.
+
+##### Raises:
+
+
+* `RuntimeError`: If user chooses to prematurely exit the debugger.
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugWrapperSession.on_session_init(request)` {#LocalCLIDebugWrapperSession.on_session_init}
+
+Overrides on-session-init callback.
+
+##### Args:
+
+
+* `request`: An instance of `OnSessionInitRequest`.
+
+##### Returns:
+
+ An instance of OnSessionInitResponse.
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugWrapperSession.partial_run(handle, fetches, feed_dict=None)` {#LocalCLIDebugWrapperSession.partial_run}
+
+
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugWrapperSession.partial_run_setup(fetches, feeds=None)` {#LocalCLIDebugWrapperSession.partial_run_setup}
+
+Sets up the feeds and fetches for partial runs in the session.
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugWrapperSession.run(fetches, feed_dict=None, options=None, run_metadata=None)` {#LocalCLIDebugWrapperSession.run}
+
+Wrapper around Session.run() that inserts tensor watch options.
+
+##### Args:
+
+
+* `fetches`: Same as the `fetches` arg to regular `Session.run()`.
+* `feed_dict`: Same as the `feed_dict` arg to regular `Session.run()`.
+* `options`: Same as the `options` arg to regular `Session.run()`.
+* `run_metadata`: Same as the `run_metadata` arg to regular `Session.run()`.
+
+##### Returns:
+
+ Simply forwards the output of the wrapped `Session.run()` call.
+
+##### Raises:
+
+
+* `ValueError`: On invalid `OnRunStartAction` value.
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugWrapperSession.sess_str` {#LocalCLIDebugWrapperSession.sess_str}
+
+
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugWrapperSession.session` {#LocalCLIDebugWrapperSession.session}
+
+
+
+
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf_debug.add_debug_tensor_watch.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf_debug.add_debug_tensor_watch.md
new file mode 100644
index 00000000000..91ce5083e53
--- /dev/null
+++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf_debug.add_debug_tensor_watch.md
@@ -0,0 +1,19 @@
+### `tf_debug.add_debug_tensor_watch(run_options, node_name, output_slot=0, debug_ops='DebugIdentity', debug_urls=None)` {#add_debug_tensor_watch}
+
+Add watch on a `Tensor` to `RunOptions`.
+
+N.B.: Under certain circumstances, the `Tensor` may not be actually watched
+ (e.g., if the node of the `Tensor` is constant-folded during runtime).
+
+##### Args:
+
+
+* `run_options`: An instance of `config_pb2.RunOptions` to be modified.
+* `node_name`: (`str`) name of the node to watch.
+* `output_slot`: (`int`) output slot index of the tensor from the watched node.
+* `debug_ops`: (`str` or `list` of `str`) name(s) of the debug op(s). Can be a
+ `list` of `str` or a single `str`. The latter case is equivalent to a
+ `list` of `str` with only one element.
+* `debug_urls`: (`str` or `list` of `str`) URL(s) to send debug values to,
+ e.g., `file:///tmp/tfdbg_dump_1`, `grpc://localhost:12345`.
+
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf_debug.load_tensor_from_event_file.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf_debug.load_tensor_from_event_file.md
new file mode 100644
index 00000000000..f614e5312de
--- /dev/null
+++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf_debug.load_tensor_from_event_file.md
@@ -0,0 +1,17 @@
+### `tf_debug.load_tensor_from_event_file(event_file_path)` {#load_tensor_from_event_file}
+
+Load a tensor from an event file.
+
+Assumes that the event file contains a `Event` protobuf and the `Event`
+protobuf contains a `Tensor` value.
+
+##### Args:
+
+
+* `event_file_path`: (`str`) path to the event file.
+
+##### Returns:
+
+ The tensor value loaded from the event file, as a `numpy.ndarray`. For
+ uninitialized tensors, returns None.
+
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf_debug.DebugDumpDir.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf_debug.DebugDumpDir.md
new file mode 100644
index 00000000000..5a5ace620ab
--- /dev/null
+++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf_debug.DebugDumpDir.md
@@ -0,0 +1,467 @@
+Data set from a debug-dump directory on filesystem.
+
+An instance of `DebugDumpDir` contains all `DebugTensorDatum` instances
+in a tfdbg dump root directory.
+- - -
+
+#### `tf_debug.DebugDumpDir.__init__(dump_root, partition_graphs=None, validate=True)` {#DebugDumpDir.__init__}
+
+`DebugDumpDir` constructor.
+
+##### Args:
+
+
+* `dump_root`: (`str`) path to the dump root directory.
+* `partition_graphs`: A repeated field of GraphDefs representing the
+ partition graphs executed by the TensorFlow runtime.
+* `validate`: (`bool`) whether the dump files are to be validated against the
+ partition graphs.
+
+##### Raises:
+
+
+* `IOError`: If dump_root does not exist as a directory.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.debug_watch_keys(node_name)` {#DebugDumpDir.debug_watch_keys}
+
+Get all tensor watch keys of given node according to partition graphs.
+
+##### Args:
+
+
+* `node_name`: (`str`) name of the node.
+
+##### Returns:
+
+ (`list` of `str`) all debug tensor watch keys. Returns an empty list if
+ the node name does not correspond to any debug watch keys.
+
+##### Raises:
+
+ `LookupError`: If debug watch information has not been loaded from
+ partition graphs yet.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.devices()` {#DebugDumpDir.devices}
+
+Get the list of devices.
+
+##### Returns:
+
+ (`list` of `str`) names of the devices.
+
+##### Raises:
+
+
+* `LookupError`: If node inputs and control inputs have not been loaded
+ from partition graphs yet.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.dumped_tensor_data` {#DebugDumpDir.dumped_tensor_data}
+
+
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.find(predicate, first_n=0)` {#DebugDumpDir.find}
+
+Find dumped tensor data by a certain predicate.
+
+##### Args:
+
+
+* `predicate`: A callable that takes two input arguments:
+
+ ```python
+ def predicate(debug_tensor_datum, tensor):
+ # returns a bool
+ ```
+
+ where `debug_tensor_datum` is an instance of `DebugTensorDatum`, which
+ carries the metadata, such as the `Tensor`'s node name, output slot
+ timestamp, debug op name, etc.; and `tensor` is the dumped tensor value
+ as a `numpy.ndarray`.
+
+* `first_n`: (`int`) return only the first n `DebugTensotDatum` instances (in
+ time order) for which the predicate returns True. To return all the
+ `DebugTensotDatum` instances, let first_n be <= 0.
+
+##### Returns:
+
+ A list of all `DebugTensorDatum` objects in this `DebugDumpDir` object
+ for which predicate returns True, sorted in ascending order of the
+ timestamp.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.get_rel_timestamps(node_name, output_slot, debug_op)` {#DebugDumpDir.get_rel_timestamps}
+
+Get the relative timestamp from for a debug-dumped tensor.
+
+Relative timestamp means (absolute timestamp - `t0`), where `t0` is the
+absolute timestamp of the first dumped tensor in the dump root. The tensor
+may be dumped multiple times in the dump root directory, so a list of
+relative timestamps (`numpy.ndarray`) is returned.
+
+##### Args:
+
+
+* `node_name`: (`str`) name of the node that the tensor is produced by.
+* `output_slot`: (`int`) output slot index of tensor.
+* `debug_op`: (`str`) name of the debug op.
+
+##### Returns:
+
+ (list of int) list of relative timestamps.
+
+##### Raises:
+
+
+* `ValueError`: If the tensor does not exist in the debub dump data.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.get_tensor_file_paths(node_name, output_slot, debug_op)` {#DebugDumpDir.get_tensor_file_paths}
+
+Get the file paths from a debug-dumped tensor.
+
+##### Args:
+
+
+* `node_name`: (`str`) name of the node that the tensor is produced by.
+* `output_slot`: (`int`) output slot index of tensor.
+* `debug_op`: (`str`) name of the debug op.
+
+##### Returns:
+
+ List of file path(s) loaded. This is a list because each debugged tensor
+ may be dumped multiple times.
+
+##### Raises:
+
+
+* `ValueError`: If the tensor does not exist in the debug-dump data.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.get_tensors(node_name, output_slot, debug_op)` {#DebugDumpDir.get_tensors}
+
+Get the tensor value from for a debug-dumped tensor.
+
+The tensor may be dumped multiple times in the dump root directory, so a
+list of tensors (`numpy.ndarray`) is returned.
+
+##### Args:
+
+
+* `node_name`: (`str`) name of the node that the tensor is produced by.
+* `output_slot`: (`int`) output slot index of tensor.
+* `debug_op`: (`str`) name of the debug op.
+
+##### Returns:
+
+ List of tensors (`numpy.ndarray`) loaded from the debug-dump file(s).
+
+##### Raises:
+
+
+* `ValueError`: If the tensor does not exist in the debug-dump data.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.loaded_partition_graphs()` {#DebugDumpDir.loaded_partition_graphs}
+
+Test whether partition graphs have been loaded.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.node_attributes(node_name)` {#DebugDumpDir.node_attributes}
+
+Get the attributes of a node.
+
+##### Args:
+
+
+* `node_name`: Name of the node in question.
+
+##### Returns:
+
+ Attributes of the node.
+
+##### Raises:
+
+
+* `LookupError`: If no partition graphs have been loaded.
+* `ValueError`: If no node named node_name exists.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.node_device(node_name)` {#DebugDumpDir.node_device}
+
+Get the device of a node.
+
+##### Args:
+
+
+* `node_name`: (`str`) name of the node.
+
+##### Returns:
+
+ (`str`) name of the device on which the node is placed.
+
+##### Raises:
+
+
+* `LookupError`: If node inputs and control inputs have not been loaded
+ from partition graphs yet.
+* `ValueError`: If the node does not exist in partition graphs.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.node_exists(node_name)` {#DebugDumpDir.node_exists}
+
+Test if a node exists in the partition graphs.
+
+##### Args:
+
+
+* `node_name`: (`str`) name of the node to be checked.
+
+##### Returns:
+
+ A boolean indicating whether the node exists.
+
+##### Raises:
+
+
+* `LookupError`: If no partition graphs have been loaded yet.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.node_inputs(node_name, is_control=False)` {#DebugDumpDir.node_inputs}
+
+Get the inputs of given node according to partition graphs.
+
+##### Args:
+
+
+* `node_name`: Name of the node.
+* `is_control`: (`bool`) Whether control inputs, rather than non-control
+ inputs, are to be returned.
+
+##### Returns:
+
+ (`list` of `str`) inputs to the node, as a list of node names.
+
+##### Raises:
+
+
+* `LookupError`: If node inputs and control inputs have not been loaded
+ from partition graphs yet.
+* `ValueError`: If the node does not exist in partition graphs.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.node_op_type(node_name)` {#DebugDumpDir.node_op_type}
+
+Get the op type of given node.
+
+##### Args:
+
+
+* `node_name`: (`str`) name of the node.
+
+##### Returns:
+
+ (`str`) op type of the node.
+
+##### Raises:
+
+
+* `LookupError`: If node op types have not been loaded
+ from partition graphs yet.
+* `ValueError`: If the node does not exist in partition graphs.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.node_recipients(node_name, is_control=False)` {#DebugDumpDir.node_recipients}
+
+Get recipient of the given node's output according to partition graphs.
+
+##### Args:
+
+
+* `node_name`: (`str`) name of the node.
+* `is_control`: (`bool`) whether control outputs, rather than non-control
+ outputs, are to be returned.
+
+##### Returns:
+
+ (`list` of `str`) all inputs to the node, as a list of node names.
+
+##### Raises:
+
+
+* `LookupError`: If node inputs and control inputs have not been loaded
+ from partition graphs yet.
+* `ValueError`: If the node does not exist in partition graphs.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.node_traceback(element_name)` {#DebugDumpDir.node_traceback}
+
+Try to retrieve the Python traceback of node's construction.
+
+##### Args:
+
+
+* `element_name`: (`str`) Name of a graph element (node or tensor).
+
+##### Returns:
+
+ (list) The traceback list object as returned by the `extract_trace`
+ method of Python's traceback module.
+
+##### Raises:
+
+
+* `LookupError`: If Python graph is not available for traceback lookup.
+* `KeyError`: If the node cannot be found in the Python graph loaded.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.nodes()` {#DebugDumpDir.nodes}
+
+Get a list of all nodes from the partition graphs.
+
+##### Returns:
+
+ All nodes' names, as a list of str.
+
+##### Raises:
+
+
+* `LookupError`: If no partition graphs have been loaded.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.partition_graphs()` {#DebugDumpDir.partition_graphs}
+
+Get the partition graphs.
+
+##### Returns:
+
+ Partition graphs as repeated fields of GraphDef.
+
+##### Raises:
+
+
+* `LookupError`: If no partition graphs have been loaded.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.set_python_graph(python_graph)` {#DebugDumpDir.set_python_graph}
+
+Provide Python `Graph` object to the wrapper.
+
+Unlike the partition graphs, which are protobuf `GraphDef` objects, `Graph`
+is a Python object and carries additional information such as the traceback
+of the construction of the nodes in the graph.
+
+##### Args:
+
+
+* `python_graph`: (ops.Graph) The Python Graph object.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.size` {#DebugDumpDir.size}
+
+Total number of dumped tensors in the dump root directory.
+
+##### Returns:
+
+ (`int`) total number of dumped tensors in the dump root directory.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.t0` {#DebugDumpDir.t0}
+
+Absolute timestamp of the first dumped tensor.
+
+##### Returns:
+
+ (`int`) absolute timestamp of the first dumped tensor, in microseconds.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.transitive_inputs(node_name, include_control=True)` {#DebugDumpDir.transitive_inputs}
+
+Get the transitive inputs of given node according to partition graphs.
+
+##### Args:
+
+
+* `node_name`: Name of the node
+* `include_control`: Include control inputs (True by default).
+
+##### Returns:
+
+ (`list` of `str`) all transitive inputs to the node, as a list of node
+ names.
+
+##### Raises:
+
+
+* `LookupError`: If node inputs and control inputs have not been loaded
+ from partition graphs yet.
+* `ValueError`: If the node does not exist in partition graphs.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.watch_key_to_data(debug_watch_key)` {#DebugDumpDir.watch_key_to_data}
+
+Get all `DebugTensorDatum` instances corresponding to a debug watch key.
+
+##### Args:
+
+
+* `debug_watch_key`: (`str`) debug watch key.
+
+##### Returns:
+
+ A list of `DebugTensorDatum` instances that correspond to the debug watch
+ key. If the watch key does not exist, returns an empty list.
+
+##### Raises:
+
+
+* `ValueError`: If the debug watch key does not exist.
+
+
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf_debug.has_inf_or_nan.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf_debug.has_inf_or_nan.md
new file mode 100644
index 00000000000..c896055789b
--- /dev/null
+++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf_debug.has_inf_or_nan.md
@@ -0,0 +1,20 @@
+### `tf_debug.has_inf_or_nan(datum, tensor)` {#has_inf_or_nan}
+
+A predicate for whether a tensor consists of any bad numerical values.
+
+This predicate is common enough to merit definition in this module.
+Bad numerical values include `nan`s and `inf`s.
+The signature of this function follows the requirement of the method
+`DebugDumpDir.find()`.
+
+##### Args:
+
+
+* `datum`: (`DebugTensorDatum`) Datum metadata.
+* `tensor`: (`numpy.ndarray` or None) Value of the tensor. None represents
+ an uninitialized tensor.
+
+##### Returns:
+
+ (`bool`) True if and only if tensor consists of any nan or inf values.
+
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf_debug.watch_graph.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf_debug.watch_graph.md
new file mode 100644
index 00000000000..94f3489f06c
--- /dev/null
+++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf_debug.watch_graph.md
@@ -0,0 +1,30 @@
+### `tf_debug.watch_graph(run_options, graph, debug_ops='DebugIdentity', debug_urls=None, node_name_regex_whitelist=None, op_type_regex_whitelist=None)` {#watch_graph}
+
+Add debug watches to `RunOptions` for a TensorFlow graph.
+
+To watch all `Tensor`s on the graph, let both `node_name_regex_whitelist`
+and `op_type_regex_whitelist` be the default (`None`).
+
+N.B.: Under certain circumstances, not all specified `Tensor`s will be
+ actually watched (e.g., nodes that are constant-folded during runtime will
+ not be watched).
+
+##### Args:
+
+
+* `run_options`: An instance of `config_pb2.RunOptions` to be modified.
+* `graph`: An instance of `ops.Graph`.
+* `debug_ops`: (`str` or `list` of `str`) name(s) of the debug op(s) to use.
+* `debug_urls`: URLs to send debug values to. Can be a list of strings,
+ a single string, or None. The case of a single string is equivalent to
+ a list consisting of a single string, e.g., `file:///tmp/tfdbg_dump_1`,
+ `grpc://localhost:12345`.
+* `node_name_regex_whitelist`: Regular-expression whitelist for node_name,
+ e.g., `"(weight_[0-9]+|bias_.*)"`
+* `op_type_regex_whitelist`: Regular-expression whitelist for the op type of
+ nodes, e.g., `"(Variable|Add)"`.
+ If both `node_name_regex_whitelist` and `op_type_regex_whitelist`
+ are set, the two filtering operations will occur in a logical `AND`
+ relation. In other words, a node will be included if and only if it
+ hits both whitelists.
+
diff --git a/tensorflow/g3doc/api_docs/python/index.md b/tensorflow/g3doc/api_docs/python/index.md
index 1bcd5d33eef..8fc39a911dd 100644
--- a/tensorflow/g3doc/api_docs/python/index.md
+++ b/tensorflow/g3doc/api_docs/python/index.md
@@ -1146,3 +1146,14 @@
* [`copy_variable_to_graph`](../../api_docs/python/contrib.copy_graph.md#copy_variable_to_graph)
* [`get_copied_op`](../../api_docs/python/contrib.copy_graph.md#get_copied_op)
+* **[TensorFlow Debugger](../../api_docs/python/tf_debug.md)**:
+ * [`add_debug_tensor_watch`](../../api_docs/python/tf_debug.md#add_debug_tensor_watch)
+ * [`DebugDumpDir`](../../api_docs/python/tf_debug.md#DebugDumpDir)
+ * [`DebugTensorDatum`](../../api_docs/python/tf_debug.md#DebugTensorDatum)
+ * [`has_inf_or_nan`](../../api_docs/python/tf_debug.md#has_inf_or_nan)
+ * [`load_tensor_from_event_file`](../../api_docs/python/tf_debug.md#load_tensor_from_event_file)
+ * [`LocalCLIDebugHook`](../../api_docs/python/tf_debug.md#LocalCLIDebugHook)
+ * [`LocalCLIDebugWrapperSession`](../../api_docs/python/tf_debug.md#LocalCLIDebugWrapperSession)
+ * [`watch_graph`](../../api_docs/python/tf_debug.md#watch_graph)
+ * [`watch_graph_with_blacklists`](../../api_docs/python/tf_debug.md#watch_graph_with_blacklists)
+
diff --git a/tensorflow/g3doc/api_docs/python/tf_debug.md b/tensorflow/g3doc/api_docs/python/tf_debug.md
new file mode 100644
index 00000000000..c2acd270004
--- /dev/null
+++ b/tensorflow/g3doc/api_docs/python/tf_debug.md
@@ -0,0 +1,1238 @@
+
+
+# TensorFlow Debugger
+[TOC]
+
+Public Python API of TensorFlow Debugger (tfdbg).
+
+## Functions for adding debug watches
+
+These functions help you modify `RunOptions` to specify which `Tensor`s are to
+be watched when the TensorFlow graph is executed at runtime.
+
+- - -
+
+### `tf_debug.add_debug_tensor_watch(run_options, node_name, output_slot=0, debug_ops='DebugIdentity', debug_urls=None)` {#add_debug_tensor_watch}
+
+Add watch on a `Tensor` to `RunOptions`.
+
+N.B.: Under certain circumstances, the `Tensor` may not be actually watched
+ (e.g., if the node of the `Tensor` is constant-folded during runtime).
+
+##### Args:
+
+
+* `run_options`: An instance of `config_pb2.RunOptions` to be modified.
+* `node_name`: (`str`) name of the node to watch.
+* `output_slot`: (`int`) output slot index of the tensor from the watched node.
+* `debug_ops`: (`str` or `list` of `str`) name(s) of the debug op(s). Can be a
+ `list` of `str` or a single `str`. The latter case is equivalent to a
+ `list` of `str` with only one element.
+* `debug_urls`: (`str` or `list` of `str`) URL(s) to send debug values to,
+ e.g., `file:///tmp/tfdbg_dump_1`, `grpc://localhost:12345`.
+
+
+- - -
+
+### `tf_debug.watch_graph(run_options, graph, debug_ops='DebugIdentity', debug_urls=None, node_name_regex_whitelist=None, op_type_regex_whitelist=None)` {#watch_graph}
+
+Add debug watches to `RunOptions` for a TensorFlow graph.
+
+To watch all `Tensor`s on the graph, let both `node_name_regex_whitelist`
+and `op_type_regex_whitelist` be the default (`None`).
+
+N.B.: Under certain circumstances, not all specified `Tensor`s will be
+ actually watched (e.g., nodes that are constant-folded during runtime will
+ not be watched).
+
+##### Args:
+
+
+* `run_options`: An instance of `config_pb2.RunOptions` to be modified.
+* `graph`: An instance of `ops.Graph`.
+* `debug_ops`: (`str` or `list` of `str`) name(s) of the debug op(s) to use.
+* `debug_urls`: URLs to send debug values to. Can be a list of strings,
+ a single string, or None. The case of a single string is equivalent to
+ a list consisting of a single string, e.g., `file:///tmp/tfdbg_dump_1`,
+ `grpc://localhost:12345`.
+* `node_name_regex_whitelist`: Regular-expression whitelist for node_name,
+ e.g., `"(weight_[0-9]+|bias_.*)"`
+* `op_type_regex_whitelist`: Regular-expression whitelist for the op type of
+ nodes, e.g., `"(Variable|Add)"`.
+ If both `node_name_regex_whitelist` and `op_type_regex_whitelist`
+ are set, the two filtering operations will occur in a logical `AND`
+ relation. In other words, a node will be included if and only if it
+ hits both whitelists.
+
+
+- - -
+
+### `tf_debug.watch_graph_with_blacklists(run_options, graph, debug_ops='DebugIdentity', debug_urls=None, node_name_regex_blacklist=None, op_type_regex_blacklist=None)` {#watch_graph_with_blacklists}
+
+Add debug tensor watches, blacklisting nodes and op types.
+
+This is similar to `watch_graph()`, but the node names and op types are
+blacklisted, instead of whitelisted.
+
+N.B.: Under certain circumstances, not all specified `Tensor`s will be
+ actually watched (e.g., nodes that are constant-folded during runtime will
+ not be watched).
+
+##### Args:
+
+
+* `run_options`: An instance of `config_pb2.RunOptions` to be modified.
+* `graph`: An instance of `ops.Graph`.
+* `debug_ops`: (`str` or `list` of `str`) name(s) of the debug op(s) to use.
+* `debug_urls`: URL(s) to send ebug values to, e.g.,
+ `file:///tmp/tfdbg_dump_1`, `grpc://localhost:12345`.
+* `node_name_regex_blacklist`: Regular-expression blacklist for node_name.
+ This should be a string, e.g., `"(weight_[0-9]+|bias_.*)"`.
+* `op_type_regex_blacklist`: Regular-expression blacklist for the op type of
+ nodes, e.g., `"(Variable|Add)"`.
+ If both node_name_regex_blacklist and op_type_regex_blacklist
+ are set, the two filtering operations will occur in a logical `OR`
+ relation. In other words, a node will be excluded if it hits either of
+ the two blacklists; a node will be included if and only if it hits
+ neither of the blacklists.
+
+
+
+
+## Classes for debug-dump data and directories
+
+These classes allow you to load and inspect tensor values dumped from
+TensorFlow graphs during runtime.
+
+- - -
+
+### `class tf_debug.DebugTensorDatum` {#DebugTensorDatum}
+
+A single tensor dumped by TensorFlow Debugger (tfdbg).
+
+Contains metadata about the dumped tensor, including `timestamp`,
+`node_name`, `output_slot`, `debug_op`, and path to the dump file
+(`file_path`).
+
+This type does not hold the generally space-expensive tensor value (numpy
+array). Instead, it points to the file from which the tensor value can be
+loaded (with the `get_tensor` method) if needed.
+- - -
+
+#### `tf_debug.DebugTensorDatum.__init__(dump_root, debug_dump_rel_path)` {#DebugTensorDatum.__init__}
+
+`DebugTensorDatum` constructor.
+
+##### Args:
+
+
+* `dump_root`: (`str`) Debug dump root directory.
+* `debug_dump_rel_path`: (`str`) Path to a debug dump file, relative to the
+ `dump_root`. For example, suppose the debug dump root
+ directory is `/tmp/tfdbg_1` and the dump file is at
+ `/tmp/tfdbg_1/ns_1/node_a_0_DebugIdentity_123456789`, then
+ the value of the debug_dump_rel_path should be
+ `ns_1/node_a_0_DebugIdenity_1234456789`.
+
+##### Raises:
+
+
+* `ValueError`: If the base file name of the dump file does not conform to
+ the dump file naming pattern:
+ `node_name`_`output_slot`_`debug_op`_`timestamp`
+
+
+- - -
+
+#### `tf_debug.DebugTensorDatum.__repr__()` {#DebugTensorDatum.__repr__}
+
+
+
+
+- - -
+
+#### `tf_debug.DebugTensorDatum.__str__()` {#DebugTensorDatum.__str__}
+
+
+
+
+- - -
+
+#### `tf_debug.DebugTensorDatum.debug_op` {#DebugTensorDatum.debug_op}
+
+Name of the debug op.
+
+##### Returns:
+
+ (`str`) debug op name (e.g., `DebugIdentity`).
+
+
+- - -
+
+#### `tf_debug.DebugTensorDatum.file_path` {#DebugTensorDatum.file_path}
+
+Path to the file which stores the value of the dumped tensor.
+
+
+- - -
+
+#### `tf_debug.DebugTensorDatum.get_tensor()` {#DebugTensorDatum.get_tensor}
+
+Get tensor from the dump (`Event`) file.
+
+##### Returns:
+
+ The tensor loaded from the dump (`Event`) file.
+
+
+- - -
+
+#### `tf_debug.DebugTensorDatum.node_name` {#DebugTensorDatum.node_name}
+
+Name of the node from which the tensor value was dumped.
+
+##### Returns:
+
+ (`str`) name of the node watched by the debug op.
+
+
+- - -
+
+#### `tf_debug.DebugTensorDatum.output_slot` {#DebugTensorDatum.output_slot}
+
+Output slot index from which the tensor value was dumped.
+
+##### Returns:
+
+ (`int`) output slot index watched by the debug op.
+
+
+- - -
+
+#### `tf_debug.DebugTensorDatum.tensor_name` {#DebugTensorDatum.tensor_name}
+
+Name of the tensor watched by the debug op.
+
+##### Returns:
+
+ (`str`) `Tensor` name, in the form of `node_name`:`output_slot`
+
+
+- - -
+
+#### `tf_debug.DebugTensorDatum.timestamp` {#DebugTensorDatum.timestamp}
+
+Timestamp of when this tensor value was dumped.
+
+##### Returns:
+
+ (`int`) The timestamp in microseconds.
+
+
+- - -
+
+#### `tf_debug.DebugTensorDatum.watch_key` {#DebugTensorDatum.watch_key}
+
+Watch key identities a debug watch on a tensor.
+
+##### Returns:
+
+ (`str`) A watch key, in the form of `tensor_name`:`debug_op`.
+
+
+
+- - -
+
+### `class tf_debug.DebugDumpDir` {#DebugDumpDir}
+
+Data set from a debug-dump directory on filesystem.
+
+An instance of `DebugDumpDir` contains all `DebugTensorDatum` instances
+in a tfdbg dump root directory.
+- - -
+
+#### `tf_debug.DebugDumpDir.__init__(dump_root, partition_graphs=None, validate=True)` {#DebugDumpDir.__init__}
+
+`DebugDumpDir` constructor.
+
+##### Args:
+
+
+* `dump_root`: (`str`) path to the dump root directory.
+* `partition_graphs`: A repeated field of GraphDefs representing the
+ partition graphs executed by the TensorFlow runtime.
+* `validate`: (`bool`) whether the dump files are to be validated against the
+ partition graphs.
+
+##### Raises:
+
+
+* `IOError`: If dump_root does not exist as a directory.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.debug_watch_keys(node_name)` {#DebugDumpDir.debug_watch_keys}
+
+Get all tensor watch keys of given node according to partition graphs.
+
+##### Args:
+
+
+* `node_name`: (`str`) name of the node.
+
+##### Returns:
+
+ (`list` of `str`) all debug tensor watch keys. Returns an empty list if
+ the node name does not correspond to any debug watch keys.
+
+##### Raises:
+
+ `LookupError`: If debug watch information has not been loaded from
+ partition graphs yet.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.devices()` {#DebugDumpDir.devices}
+
+Get the list of devices.
+
+##### Returns:
+
+ (`list` of `str`) names of the devices.
+
+##### Raises:
+
+
+* `LookupError`: If node inputs and control inputs have not been loaded
+ from partition graphs yet.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.dumped_tensor_data` {#DebugDumpDir.dumped_tensor_data}
+
+
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.find(predicate, first_n=0)` {#DebugDumpDir.find}
+
+Find dumped tensor data by a certain predicate.
+
+##### Args:
+
+
+* `predicate`: A callable that takes two input arguments:
+
+ ```python
+ def predicate(debug_tensor_datum, tensor):
+ # returns a bool
+ ```
+
+ where `debug_tensor_datum` is an instance of `DebugTensorDatum`, which
+ carries the metadata, such as the `Tensor`'s node name, output slot
+ timestamp, debug op name, etc.; and `tensor` is the dumped tensor value
+ as a `numpy.ndarray`.
+
+* `first_n`: (`int`) return only the first n `DebugTensotDatum` instances (in
+ time order) for which the predicate returns True. To return all the
+ `DebugTensotDatum` instances, let first_n be <= 0.
+
+##### Returns:
+
+ A list of all `DebugTensorDatum` objects in this `DebugDumpDir` object
+ for which predicate returns True, sorted in ascending order of the
+ timestamp.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.get_rel_timestamps(node_name, output_slot, debug_op)` {#DebugDumpDir.get_rel_timestamps}
+
+Get the relative timestamp from for a debug-dumped tensor.
+
+Relative timestamp means (absolute timestamp - `t0`), where `t0` is the
+absolute timestamp of the first dumped tensor in the dump root. The tensor
+may be dumped multiple times in the dump root directory, so a list of
+relative timestamps (`numpy.ndarray`) is returned.
+
+##### Args:
+
+
+* `node_name`: (`str`) name of the node that the tensor is produced by.
+* `output_slot`: (`int`) output slot index of tensor.
+* `debug_op`: (`str`) name of the debug op.
+
+##### Returns:
+
+ (list of int) list of relative timestamps.
+
+##### Raises:
+
+
+* `ValueError`: If the tensor does not exist in the debub dump data.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.get_tensor_file_paths(node_name, output_slot, debug_op)` {#DebugDumpDir.get_tensor_file_paths}
+
+Get the file paths from a debug-dumped tensor.
+
+##### Args:
+
+
+* `node_name`: (`str`) name of the node that the tensor is produced by.
+* `output_slot`: (`int`) output slot index of tensor.
+* `debug_op`: (`str`) name of the debug op.
+
+##### Returns:
+
+ List of file path(s) loaded. This is a list because each debugged tensor
+ may be dumped multiple times.
+
+##### Raises:
+
+
+* `ValueError`: If the tensor does not exist in the debug-dump data.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.get_tensors(node_name, output_slot, debug_op)` {#DebugDumpDir.get_tensors}
+
+Get the tensor value from for a debug-dumped tensor.
+
+The tensor may be dumped multiple times in the dump root directory, so a
+list of tensors (`numpy.ndarray`) is returned.
+
+##### Args:
+
+
+* `node_name`: (`str`) name of the node that the tensor is produced by.
+* `output_slot`: (`int`) output slot index of tensor.
+* `debug_op`: (`str`) name of the debug op.
+
+##### Returns:
+
+ List of tensors (`numpy.ndarray`) loaded from the debug-dump file(s).
+
+##### Raises:
+
+
+* `ValueError`: If the tensor does not exist in the debug-dump data.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.loaded_partition_graphs()` {#DebugDumpDir.loaded_partition_graphs}
+
+Test whether partition graphs have been loaded.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.node_attributes(node_name)` {#DebugDumpDir.node_attributes}
+
+Get the attributes of a node.
+
+##### Args:
+
+
+* `node_name`: Name of the node in question.
+
+##### Returns:
+
+ Attributes of the node.
+
+##### Raises:
+
+
+* `LookupError`: If no partition graphs have been loaded.
+* `ValueError`: If no node named node_name exists.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.node_device(node_name)` {#DebugDumpDir.node_device}
+
+Get the device of a node.
+
+##### Args:
+
+
+* `node_name`: (`str`) name of the node.
+
+##### Returns:
+
+ (`str`) name of the device on which the node is placed.
+
+##### Raises:
+
+
+* `LookupError`: If node inputs and control inputs have not been loaded
+ from partition graphs yet.
+* `ValueError`: If the node does not exist in partition graphs.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.node_exists(node_name)` {#DebugDumpDir.node_exists}
+
+Test if a node exists in the partition graphs.
+
+##### Args:
+
+
+* `node_name`: (`str`) name of the node to be checked.
+
+##### Returns:
+
+ A boolean indicating whether the node exists.
+
+##### Raises:
+
+
+* `LookupError`: If no partition graphs have been loaded yet.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.node_inputs(node_name, is_control=False)` {#DebugDumpDir.node_inputs}
+
+Get the inputs of given node according to partition graphs.
+
+##### Args:
+
+
+* `node_name`: Name of the node.
+* `is_control`: (`bool`) Whether control inputs, rather than non-control
+ inputs, are to be returned.
+
+##### Returns:
+
+ (`list` of `str`) inputs to the node, as a list of node names.
+
+##### Raises:
+
+
+* `LookupError`: If node inputs and control inputs have not been loaded
+ from partition graphs yet.
+* `ValueError`: If the node does not exist in partition graphs.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.node_op_type(node_name)` {#DebugDumpDir.node_op_type}
+
+Get the op type of given node.
+
+##### Args:
+
+
+* `node_name`: (`str`) name of the node.
+
+##### Returns:
+
+ (`str`) op type of the node.
+
+##### Raises:
+
+
+* `LookupError`: If node op types have not been loaded
+ from partition graphs yet.
+* `ValueError`: If the node does not exist in partition graphs.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.node_recipients(node_name, is_control=False)` {#DebugDumpDir.node_recipients}
+
+Get recipient of the given node's output according to partition graphs.
+
+##### Args:
+
+
+* `node_name`: (`str`) name of the node.
+* `is_control`: (`bool`) whether control outputs, rather than non-control
+ outputs, are to be returned.
+
+##### Returns:
+
+ (`list` of `str`) all inputs to the node, as a list of node names.
+
+##### Raises:
+
+
+* `LookupError`: If node inputs and control inputs have not been loaded
+ from partition graphs yet.
+* `ValueError`: If the node does not exist in partition graphs.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.node_traceback(element_name)` {#DebugDumpDir.node_traceback}
+
+Try to retrieve the Python traceback of node's construction.
+
+##### Args:
+
+
+* `element_name`: (`str`) Name of a graph element (node or tensor).
+
+##### Returns:
+
+ (list) The traceback list object as returned by the `extract_trace`
+ method of Python's traceback module.
+
+##### Raises:
+
+
+* `LookupError`: If Python graph is not available for traceback lookup.
+* `KeyError`: If the node cannot be found in the Python graph loaded.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.nodes()` {#DebugDumpDir.nodes}
+
+Get a list of all nodes from the partition graphs.
+
+##### Returns:
+
+ All nodes' names, as a list of str.
+
+##### Raises:
+
+
+* `LookupError`: If no partition graphs have been loaded.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.partition_graphs()` {#DebugDumpDir.partition_graphs}
+
+Get the partition graphs.
+
+##### Returns:
+
+ Partition graphs as repeated fields of GraphDef.
+
+##### Raises:
+
+
+* `LookupError`: If no partition graphs have been loaded.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.set_python_graph(python_graph)` {#DebugDumpDir.set_python_graph}
+
+Provide Python `Graph` object to the wrapper.
+
+Unlike the partition graphs, which are protobuf `GraphDef` objects, `Graph`
+is a Python object and carries additional information such as the traceback
+of the construction of the nodes in the graph.
+
+##### Args:
+
+
+* `python_graph`: (ops.Graph) The Python Graph object.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.size` {#DebugDumpDir.size}
+
+Total number of dumped tensors in the dump root directory.
+
+##### Returns:
+
+ (`int`) total number of dumped tensors in the dump root directory.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.t0` {#DebugDumpDir.t0}
+
+Absolute timestamp of the first dumped tensor.
+
+##### Returns:
+
+ (`int`) absolute timestamp of the first dumped tensor, in microseconds.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.transitive_inputs(node_name, include_control=True)` {#DebugDumpDir.transitive_inputs}
+
+Get the transitive inputs of given node according to partition graphs.
+
+##### Args:
+
+
+* `node_name`: Name of the node
+* `include_control`: Include control inputs (True by default).
+
+##### Returns:
+
+ (`list` of `str`) all transitive inputs to the node, as a list of node
+ names.
+
+##### Raises:
+
+
+* `LookupError`: If node inputs and control inputs have not been loaded
+ from partition graphs yet.
+* `ValueError`: If the node does not exist in partition graphs.
+
+
+- - -
+
+#### `tf_debug.DebugDumpDir.watch_key_to_data(debug_watch_key)` {#DebugDumpDir.watch_key_to_data}
+
+Get all `DebugTensorDatum` instances corresponding to a debug watch key.
+
+##### Args:
+
+
+* `debug_watch_key`: (`str`) debug watch key.
+
+##### Returns:
+
+ A list of `DebugTensorDatum` instances that correspond to the debug watch
+ key. If the watch key does not exist, returns an empty list.
+
+##### Raises:
+
+
+* `ValueError`: If the debug watch key does not exist.
+
+
+
+
+
+## Functions for loading debug-dump data
+
+- - -
+
+### `tf_debug.load_tensor_from_event_file(event_file_path)` {#load_tensor_from_event_file}
+
+Load a tensor from an event file.
+
+Assumes that the event file contains a `Event` protobuf and the `Event`
+protobuf contains a `Tensor` value.
+
+##### Args:
+
+
+* `event_file_path`: (`str`) path to the event file.
+
+##### Returns:
+
+ The tensor value loaded from the event file, as a `numpy.ndarray`. For
+ uninitialized tensors, returns None.
+
+
+
+
+## Tensor-value predicates
+
+Built-in tensor-filter predicates to support conditional breakpoint between
+runs. See `DebugDumpDir.find()` for more details.
+
+- - -
+
+### `tf_debug.has_inf_or_nan(datum, tensor)` {#has_inf_or_nan}
+
+A predicate for whether a tensor consists of any bad numerical values.
+
+This predicate is common enough to merit definition in this module.
+Bad numerical values include `nan`s and `inf`s.
+The signature of this function follows the requirement of the method
+`DebugDumpDir.find()`.
+
+##### Args:
+
+
+* `datum`: (`DebugTensorDatum`) Datum metadata.
+* `tensor`: (`numpy.ndarray` or None) Value of the tensor. None represents
+ an uninitialized tensor.
+
+##### Returns:
+
+ (`bool`) True if and only if tensor consists of any nan or inf values.
+
+
+
+
+## Session wrapper class and `SessionRunHook` implementations
+
+These classes allow you to
+
+* wrap aroundTensorFlow `Session` objects to debug plain TensorFlow models
+ (see `LocalCLIDebugWrapperSession`), or
+* generate `SessionRunHook` objects to debug `tf.contrib.learn` models (see
+ `LocalCLIDebugHook`).
+
+- - -
+
+### `class tf_debug.LocalCLIDebugHook` {#LocalCLIDebugHook}
+
+Command-line-interface debugger hook.
+
+Can be used as a monitor/hook for tf.train.MonitoredSession.
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.__enter__()` {#LocalCLIDebugHook.__enter__}
+
+
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.__exit__(exec_type, exec_value, exec_tb)` {#LocalCLIDebugHook.__exit__}
+
+
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.__init__()` {#LocalCLIDebugHook.__init__}
+
+Create a local debugger command-line interface (CLI) hook.
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.add_tensor_filter(filter_name, tensor_filter)` {#LocalCLIDebugHook.add_tensor_filter}
+
+Add a tensor filter.
+
+##### Args:
+
+
+* `filter_name`: (`str`) name of the filter.
+* `tensor_filter`: (`callable`) the filter callable. See the doc string of
+ `DebugDumpDir.find()` for more details about its signature.
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.after_create_session(session)` {#LocalCLIDebugHook.after_create_session}
+
+Called when new TensorFlow session is created.
+
+This is called to signal the hooks that a new session has been created. This
+has two essential differences with the situation in which `begin` is called:
+
+* When this is called, the graph is finalized and ops can no longer be added
+ to the graph.
+* This method will also be called as a result of recovering a wrapped
+ session, not only at the beginning of the overall session.
+
+##### Args:
+
+
+* `session`: A TensorFlow Session that has been created.
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.after_run(run_context, run_values)` {#LocalCLIDebugHook.after_run}
+
+
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.before_run(run_context)` {#LocalCLIDebugHook.before_run}
+
+
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.begin()` {#LocalCLIDebugHook.begin}
+
+
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.close()` {#LocalCLIDebugHook.close}
+
+
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.end(session)` {#LocalCLIDebugHook.end}
+
+Called at the end of session.
+
+The `session` argument can be used in case the hook wants to run final ops,
+such as saving a last checkpoint.
+
+##### Args:
+
+
+* `session`: A TensorFlow Session that will be soon closed.
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.graph` {#LocalCLIDebugHook.graph}
+
+
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.invoke_node_stepper(node_stepper, restore_variable_values_on_exit=True)` {#LocalCLIDebugHook.invoke_node_stepper}
+
+Overrides method in base class to implement interactive node stepper.
+
+##### Args:
+
+
+* `node_stepper`: (`stepper.NodeStepper`) The underlying NodeStepper API
+ object.
+* `restore_variable_values_on_exit`: (`bool`) Whether any variables whose
+ values have been altered during this node-stepper invocation should be
+ restored to their old values when this invocation ends.
+
+##### Returns:
+
+ The same return values as the `Session.run()` call on the same fetches as
+ the NodeStepper.
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.on_run_end(request)` {#LocalCLIDebugHook.on_run_end}
+
+Overrides on-run-end callback.
+
+##### Actions taken:
+
+ 1) Load the debug dump.
+ 2) Bring up the Analyzer CLI.
+
+##### Args:
+
+
+* `request`: An instance of OnSessionInitRequest.
+
+##### Returns:
+
+ An instance of OnSessionInitResponse.
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.on_run_start(request)` {#LocalCLIDebugHook.on_run_start}
+
+Overrides on-run-start callback.
+
+##### Invoke the CLI to let user choose what action to take:
+
+ `run` / `invoke_stepper`.
+
+##### Args:
+
+
+* `request`: An instance of `OnSessionInitRequest`.
+
+##### Returns:
+
+ An instance of `OnSessionInitResponse`.
+
+##### Raises:
+
+
+* `RuntimeError`: If user chooses to prematurely exit the debugger.
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.on_session_init(request)` {#LocalCLIDebugHook.on_session_init}
+
+Overrides on-session-init callback.
+
+##### Args:
+
+
+* `request`: An instance of `OnSessionInitRequest`.
+
+##### Returns:
+
+ An instance of OnSessionInitResponse.
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.partial_run(handle, fetches, feed_dict=None)` {#LocalCLIDebugHook.partial_run}
+
+
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.partial_run_setup(fetches, feeds=None)` {#LocalCLIDebugHook.partial_run_setup}
+
+Sets up the feeds and fetches for partial runs in the session.
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.run(fetches, feed_dict=None, options=None, run_metadata=None)` {#LocalCLIDebugHook.run}
+
+Wrapper around Session.run() that inserts tensor watch options.
+
+##### Args:
+
+
+* `fetches`: Same as the `fetches` arg to regular `Session.run()`.
+* `feed_dict`: Same as the `feed_dict` arg to regular `Session.run()`.
+* `options`: Same as the `options` arg to regular `Session.run()`.
+* `run_metadata`: Same as the `run_metadata` arg to regular `Session.run()`.
+
+##### Returns:
+
+ Simply forwards the output of the wrapped `Session.run()` call.
+
+##### Raises:
+
+
+* `ValueError`: On invalid `OnRunStartAction` value.
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.sess_str` {#LocalCLIDebugHook.sess_str}
+
+
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugHook.session` {#LocalCLIDebugHook.session}
+
+
+
+
+
+- - -
+
+### `class tf_debug.LocalCLIDebugWrapperSession` {#LocalCLIDebugWrapperSession}
+
+Concrete subclass of BaseDebugWrapperSession implementing a local CLI.
+
+This class has all the methods that a `session.Session` object has, in order
+to support debugging with minimal code changes. Invoking its `run()` method
+will launch the command-line interface (CLI) of tfdbg.
+- - -
+
+#### `tf_debug.LocalCLIDebugWrapperSession.__enter__()` {#LocalCLIDebugWrapperSession.__enter__}
+
+
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugWrapperSession.__exit__(exec_type, exec_value, exec_tb)` {#LocalCLIDebugWrapperSession.__exit__}
+
+
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugWrapperSession.__init__(sess, dump_root=None, log_usage=True)` {#LocalCLIDebugWrapperSession.__init__}
+
+Constructor of LocalCLIDebugWrapperSession.
+
+##### Args:
+
+
+* `sess`: The TensorFlow `Session` object being wrapped.
+* `dump_root`: (`str`) optional path to the dump 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
+ `run()` calls and removed afterwards.
+* `log_usage`: (`bool`) whether the usage of this class is to be logged.
+
+##### Raises:
+
+
+* `ValueError`: If dump_root is an existing and non-empty directory or if
+ dump_root is a file.
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugWrapperSession.add_tensor_filter(filter_name, tensor_filter)` {#LocalCLIDebugWrapperSession.add_tensor_filter}
+
+Add a tensor filter.
+
+##### Args:
+
+
+* `filter_name`: (`str`) name of the filter.
+* `tensor_filter`: (`callable`) the filter callable. See the doc string of
+ `DebugDumpDir.find()` for more details about its signature.
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugWrapperSession.close()` {#LocalCLIDebugWrapperSession.close}
+
+
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugWrapperSession.graph` {#LocalCLIDebugWrapperSession.graph}
+
+
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugWrapperSession.invoke_node_stepper(node_stepper, restore_variable_values_on_exit=True)` {#LocalCLIDebugWrapperSession.invoke_node_stepper}
+
+Overrides method in base class to implement interactive node stepper.
+
+##### Args:
+
+
+* `node_stepper`: (`stepper.NodeStepper`) The underlying NodeStepper API
+ object.
+* `restore_variable_values_on_exit`: (`bool`) Whether any variables whose
+ values have been altered during this node-stepper invocation should be
+ restored to their old values when this invocation ends.
+
+##### Returns:
+
+ The same return values as the `Session.run()` call on the same fetches as
+ the NodeStepper.
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugWrapperSession.on_run_end(request)` {#LocalCLIDebugWrapperSession.on_run_end}
+
+Overrides on-run-end callback.
+
+##### Actions taken:
+
+ 1) Load the debug dump.
+ 2) Bring up the Analyzer CLI.
+
+##### Args:
+
+
+* `request`: An instance of OnSessionInitRequest.
+
+##### Returns:
+
+ An instance of OnSessionInitResponse.
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugWrapperSession.on_run_start(request)` {#LocalCLIDebugWrapperSession.on_run_start}
+
+Overrides on-run-start callback.
+
+##### Invoke the CLI to let user choose what action to take:
+
+ `run` / `invoke_stepper`.
+
+##### Args:
+
+
+* `request`: An instance of `OnSessionInitRequest`.
+
+##### Returns:
+
+ An instance of `OnSessionInitResponse`.
+
+##### Raises:
+
+
+* `RuntimeError`: If user chooses to prematurely exit the debugger.
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugWrapperSession.on_session_init(request)` {#LocalCLIDebugWrapperSession.on_session_init}
+
+Overrides on-session-init callback.
+
+##### Args:
+
+
+* `request`: An instance of `OnSessionInitRequest`.
+
+##### Returns:
+
+ An instance of OnSessionInitResponse.
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugWrapperSession.partial_run(handle, fetches, feed_dict=None)` {#LocalCLIDebugWrapperSession.partial_run}
+
+
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugWrapperSession.partial_run_setup(fetches, feeds=None)` {#LocalCLIDebugWrapperSession.partial_run_setup}
+
+Sets up the feeds and fetches for partial runs in the session.
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugWrapperSession.run(fetches, feed_dict=None, options=None, run_metadata=None)` {#LocalCLIDebugWrapperSession.run}
+
+Wrapper around Session.run() that inserts tensor watch options.
+
+##### Args:
+
+
+* `fetches`: Same as the `fetches` arg to regular `Session.run()`.
+* `feed_dict`: Same as the `feed_dict` arg to regular `Session.run()`.
+* `options`: Same as the `options` arg to regular `Session.run()`.
+* `run_metadata`: Same as the `run_metadata` arg to regular `Session.run()`.
+
+##### Returns:
+
+ Simply forwards the output of the wrapped `Session.run()` call.
+
+##### Raises:
+
+
+* `ValueError`: On invalid `OnRunStartAction` value.
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugWrapperSession.sess_str` {#LocalCLIDebugWrapperSession.sess_str}
+
+
+
+
+- - -
+
+#### `tf_debug.LocalCLIDebugWrapperSession.session` {#LocalCLIDebugWrapperSession.session}
+
+
+
+
+