[Feature Enhancement] Implement decompose method of "fixed-start" and refactor codes. #408
+380
−242
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Xreki
force-pushed
the
opt_saved_results
branch
3 times, most recently
from
c3e78da to
b26630f
Compare
Xreki
force-pushed
the
opt_saved_results
branch
from
b26630f to
3d30e86
Compare
|
Thanks for your contribution! |
1 similar comment
|
Thanks for your contribution! |
Xreki
force-pushed
the
opt_saved_results
branch
from
3301ecb to
ef92564
Compare
Xreki
force-pushed
the
opt_saved_results
branch
from
ef92564 to
864e7b3
Compare
Xreki
force-pushed
the
opt_saved_results
branch
6 times, most recently
from
0b7240a to
2867e71
Compare
Xreki
force-pushed
the
opt_saved_results
branch
from
2867e71 to
2ace973
Compare
Xreki
changed the title
Xreki
changed the title
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
PR Category
Feature Enhancement
Description
ModelRecord、RunningState、DecomposeCofig三个类型，重构部分代码。其中：ModelRecord记录每一个样本每一步的分解信息，包括原始路径、分解位置参数、生成的子图样本路径、错误的子图编号。注意，fixed-start的方式因为始终只生成子图0，若评测结果子图0正确，则错误的应该就是子图1。RunningState记录一步所有模型的运行状态和评测结果。DecomposeConifg记录每一步执行配置和全部的运行状态，会直接保存到json。TODO：优化单步执行的提示和总结，添加最后嫌疑子图的单测生成部分。