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# TensorFlow Debugger
[TOC]
Public Python API of TensorFlow Debugger (tfdbg).
## Functions for adding debug watches
These functions help you modify `RunOptions` to specify which `Tensor`s 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`
## Classes for debug-dump data and directories
These classes allow you to load and inspect tensor values dumped from
TensorFlow graphs during runtime.
* `tfdbg.DebugTensorDatum`
* `tfdbg.DebugDumpDir`
## Functions for loading debug-dump data
* `tfdbg.load_tensor_from_event_file`
## Tensor-value predicates
Built-in tensor-filter predicates to support conditional breakpoint between
runs. See `DebugDumpDir.find()` for more details.
* `tfdbg.has_inf_or_nan`
## Session wrapper class and `SessionRunHook` implementations
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`
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