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visualdl's Issues
design of backend log format
Do Research on TensorBoard API
Try to figure out how Scalar and Image data are retrieved via API and the meanings of parameters and data formats
init cmake system
- Cmake should download dependency automatically.
- each module should have a CMakeLists.txt
Write Demo / Tutorial / Survey under Docs for VisualDL
By Jan 2nd, Scalar and Image should be ready. Write corresponding demo / tutorial / Survey for these 2 features.
后端-基本设计文档
基本模块设计
Create virtualenv so that versions are consistent
For example, we are using
TensorBoard 0.4.0rc3
as standard but some developers might use other version.
backend primary API
need to refactor Storage to support data in memory or disk
frontend&&backend interface design
overall design of backend
The first issues of the VisualDL project
The following plan will be discussed here.
VisualDL is Great!
the python package build workflow
可以把python包封装的工作流预先建立起来
Looking forward to !
embed backend code autostyle toolchain into pre-commit
languages to support:
Python
c++
usage:
pre-commit install
pre-commit or git commit will invoke the toolchain
define get tablet interface
primary server
Fix Misspellings
Need to fix some misspellings in the code:
toogle, sery, visaul, filted
https://github.com/VisualDL/VisualDL/blob/develop/frontend/src/common/ui/Charts/chart.san#L191
https://github.com/VisualDL/VisualDL/blob/develop/frontend/src/common/ui/ExpandPanel.san#L31
https://github.com/VisualDL/VisualDL/blob/develop/frontend/src/common/ui/ExpandPanel.san#L33
https://github.com/VisualDL/VisualDL/blob/develop/frontend/src/common/ui/ExpandPanel.san#L40
https://github.com/VisualDL/VisualDL/blob/develop/frontend/src/scalars/Scalars.san#L129
可视化的功能包括
-
Graphs, 用一个 graph 可视化模型相关的整个神经网络，包括每层网络中数据的输入输出、涉及的参数等。
-
Scalars, 模型训练相关的所有标量信息。
-
Images, 识别相关的图像信息或者模型可解释性等。
-
Histograms
-
Distributions
storage.pb.h cannot be generated automatically
确定后端protobuf
Warn-Up!
DNN 中可视化场景（支持难度由低到高）
常规训练信息概览
- Train/Test error plot
- 准确率曲线
- 网络配置可视化
- 任意 tensor 可视化
典型案例
- 图像可视化（矩阵解析为图片，可用于CNN可视化）
- Embedding 可视化
初版包含功能
版本发布日期规划
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