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_loop
s 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_loop
s.
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