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.
These classes allow you to load and inspect tensor values dumped from TensorFlow graphs during runtime.
Built-in tensor-filter predicates to support conditional breakpoint between runs. See
DebugDumpDir.find() for more details.
These classes allow you to
Sessionobjects to debug plain TensorFlow models (see
SessionRunHook objects to debug
tf.contrib.learn models (see
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.