tfdbg.WatchOptions

Class WatchOptions

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

Type for return values of watch_fn.

__init__

__init__(
    debug_ops=None,
    node_name_regex_whitelist=None,
    op_type_regex_whitelist=None,
    tensor_dtype_regex_whitelist=None,
    tolerate_debug_op_creation_failures=False
)

Constructor of WatchOptions: Debug watch options.

Used as return values of watch_fns.

Args:

• debug_ops: (str or list of str) Debug ops to be used.
• 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.
• tensor_dtype_regex_whitelist: Regular-expression whitelist for Tensor data type, e.g., "^int.*". This whitelist operates in logical AND 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.