TensorFlow 可视化调试工具 TDB

TensorFlow   2015-12-16 16:16:08 发布
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TensorDebugger (TDB) 是一个用于深度学习的可视化调试器。它扩展TensorFlow (Google的深度学习框架)拥有断点+实时数据流的可视化通过计算机图形。

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TensorFlow 可视化调试工具 TDB

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.

TensorFlow 可视化调试工具 TDB

项目主页:http://www.open-open.com/lib/view/home/1450188037422

扩展阅读

Google TensorFlow 学习笔记一 —— TensorFlow简介
TensorFlow:最棒的深度学习加速器
TensorFlow 官方文档中文版
TensorFlow源码编译-基于Ubuntu 15.04
利用 TensorFlow Serving 系统在生产环境中运行模型

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