tfdbg.GrpcDebugWrapperSession

Class GrpcDebugWrapperSession

Defined in tensorflow/python/debug/wrappers/grpc_wrapper.py.

Debug Session wrapper that send debug data to gRPC stream(s).

Properties

graph

graph_def

run_call_count

sess_str

session

Methods

__init__

__init__(
    sess,
    grpc_debug_server_addresses,
    watch_fn=None,
    thread_name_filter=None,
    log_usage=True
)

Constructor of DumpingDebugWrapperSession.

Args:

• sess: The TensorFlow Session object being wrapped.
• grpc_debug_server_addresses: (str or list of str) Single or a list of the gRPC debug server addresses, in the format of , without the "grpc://" prefix. For example: "localhost:7000", ["localhost:7000", "192.168.0.2:8000"]
• watch_fn: (Callable) A Callable that can be used to define per-run debug ops and watched tensors. See the doc of NonInteractiveDebugWrapperSession.__init__() for details.
• thread_name_filter: Regular-expression white list for threads on which the wrapper session will be active. See doc of BaseDebugWrapperSession for more details.
• log_usage: (bool) whether the usage of this class is to be logged.

Raises:

• TypeError: If grpc_debug_server_addresses is not a str or a list of str.

__enter__

__enter__()

__exit__

__exit__(
    exec_type,
    exec_value,
    exec_tb
)

as_default

as_default()

close

close()

increment_run_call_count

increment_run_call_count()

invoke_node_stepper

invoke_node_stepper(
    node_stepper,
    restore_variable_values_on_exit=True
)

See doc of BaseDebugWrapperSession.invoke_node_stepper.

list_devices

list_devices(
    *args,
    **kwargs
)

make_callable

make_callable(
    fetches,
    feed_list=None,
    accept_options=False
)

on_run_end

on_run_end(request)

See doc of BaseDebugWrapperSession.on_run_end.

on_run_start

on_run_start(request)

See doc of BaseDebugWrapperSession.on_run_start.

on_session_init

on_session_init(request)

See doc of BaseDebugWrapperSession.on_run_start.

partial_run

partial_run(
    handle,
    fetches,
    feed_dict=None
)

partial_run_setup

partial_run_setup(
    fetches,
    feeds=None
)

Sets up the feeds and fetches for partial runs in the session.

prepare_run_debug_urls

prepare_run_debug_urls(
    fetches,
    feed_dict
)

Implementation of abstract method in superclass.

See doc of NonInteractiveDebugWrapperSession.prepare_run_debug_urls() for details.

Args:

• fetches: Same as the fetches argument to Session.run()
• feed_dict: Same as the feed_dict argument to Session.run()

Returns:

• debug_urls: (str or list of str) file:// debug URLs to be used in this Session.run() call.

reset

reset(
    *args,
    **kwargs
)

run

run(
    fetches,
    feed_dict=None,
    options=None,
    run_metadata=None,
    callable_runner=None,
    callable_runner_args=None
)

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().
• callable_runner: A callable returned by Session.make_callable(). If not None, fetches and feed_dict must both be None.
• callable_runner_args: An optional list of arguments to callable_runner.

Returns:

Simply forwards the output of the wrapped Session.run() call.

Raises:

• ValueError: On invalid OnRunStartAction value. Or if callable_runner is not None and either or both of fetches and feed_dict is None.

should_stop

should_stop()