tfdbg.GrpcDebugWrapperSession

tfdbg.GrpcDebugWrapperSession

class tfdbg.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

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()

invoke_node_stepper

invoke_node_stepper(
    node_stepper,
    restore_variable_values_on_exit=True
)

See doc of BaseDebugWrapperSession.invoke_node_stepper.

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.

run

run(
    fetches,
    feed_dict=None,
    options=None,
    run_metadata=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().

Returns:

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

Raises:

  • ValueError: On invalid OnRunStartAction value.

© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tfdbg/GrpcDebugWrapperSession

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