[TOC]

Public Python API of TensorFlow Debugger (tfdbg).

These functions help you modify RunOptions to specify which Tensors are to be watched when the TensorFlow graph is executed at runtime.

• @{tfdbg.add_debug_tensor_watch}
• @{tfdbg.watch_graph}
• @{tfdbg.watch_graph_with_blacklists}

These classes allow you to load and inspect tensor values dumped from TensorFlow graphs during runtime.

• @{tfdbg.DebugTensorDatum}
• @{tfdbg.DebugDumpDir}

• @{tfdbg.load_tensor_from_event_file}

Built-in tensor-filter predicates to support conditional breakpoint between runs. See DebugDumpDir.find() for more details.

• @{tfdbg.has_inf_or_nan}

These classes allow you to

• wrap aroundTensorFlow Session objects to debug plain TensorFlow models (see DumpingDebugWrapperSession and LocalCLIDebugWrapperSession), or

• generate SessionRunHook objects to debug tf.contrib.learn models (see DumpingDebugHook and LocalCLIDebugHook).

• @{tfdbg.DumpingDebugHook}

• @{tfdbg.DumpingDebugWrapperSession}

• @{tfdbg.LocalCLIDebugHook}

• @{tfdbg.LocalCLIDebugWrapperSession}