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tfdbg.watch_graph_with_blacklists

tfdbg.watch_graph_with_blacklists(
    run_options,
    graph,
    debug_ops='DebugIdentity',
    debug_urls=None,
    node_name_regex_blacklist=None,
    op_type_regex_blacklist=None,
    tensor_dtype_regex_blacklist=None,
    tolerate_debug_op_creation_failures=False,
    global_step=-1
)

Defined in tensorflow/python/debug/lib/debug_utils.py.

See the guide: TensorFlow Debugger > Functions for adding debug watches

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.: 1. Under certain circumstances, the Tensor may not get actually watched (e.g., if the node of the Tensor is constant-folded during runtime). 2. For debugging purposes, the parallel_iteration attribute of all tf.while_loops in the graph are set to 1 to prevent any node from being executed multiple times concurrently. This change does not affect subsequent non-debugged runs of the same tf.while_loops.

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. See the documentation of watch_graph for more details.
  • debug_urls: URL(s) to send debug 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.
  • tensor_dtype_regex_blacklist: Regular-expression blacklist for Tensor data type, e.g., "^int.*". This blacklist operates in logical OR relations to the two whitelists above.
  • tolerate_debug_op_creation_failures: (bool) whether debug op creation failures (e.g., due to dtype incompatibility) are to be tolerated by not throwing exceptions.
  • global_step: (int) Optional global_step count for this debug tensor watch.

© 2018 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/watch_graph_with_blacklists