TensorFlow 可視化調試工具 TDB
TensorDebugger (TDB) 是一個用于深度學習的可視化調試器。它擴展TensorFlow (Google的深度學習框架)擁有斷點+實時數據流的可視化通過計算機圖形。
Specifically, TDB is the combination of a Python library and a Jupyter notebook extension, built around Google's TensorFlow framework. Together, these extend TensorFlow with the following features:
- Breakpoints: Set breakpoints on Ops and Tensors in the graph. Graph execution is paused on breakpoints and resumed by the user (viatdb.c()) Debugging features can be used with or without the visualization frontend.
- Arbitrary Summary Plots: Real-time visualization of high-level information (e.g. histograms, gradient magnitudes, weight saturation) while the network is being trained. Supports arbitrary, user-defined plot functions.
- Flexible: Mix user-defined Python and plotting functions with TensorFlow Nodes. These take intf.Tensorsand output placeholder nodes to be plugged into TensorFlow nodes. The below diagram illustrates how TDB nodes can be mixed with the TensorFlow graph.
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