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reimplement ResNeXt based on ResNet #40588

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SigureMo
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@SigureMo SigureMo commented Mar 15, 2022

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通过复用 ResNet 结构来重新实现 ResNeXt,避免额外在 resnext.py 实现一遍相似的结构。

API changes

  • 相对于 develop
- ResNeXt(depth=50, cardinality=32, num_classes=1000, with_pool=True)
- ResNet(block, depth=50, width=64, num_classes=1000, with_pool=True)
+ ResNet(block, depth=50, width=64, num_classes=1000, with_pool=True, groups=1)
  • 相对于 release/2.2(如果从这来看的话,貌似没有兼容性问题)
- ResNet(block, depth=50, num_classes=1000, with_pool=True)
+ ResNet(block, depth=50, width=64, num_classes=1000, with_pool=True, groups=1)

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Thanks for your contribution!
Please wait for the result of CI firstly. See Paddle CI Manual for details.

@SigureMo SigureMo changed the title reimplementing ResNeXt based on ResNet reimplement ResNeXt based on ResNet Mar 15, 2022
@SigureMo SigureMo marked this pull request as ready for review March 19, 2022 19:32
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LielinJiang
LielinJiang previously approved these changes Mar 22, 2022
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CI显示示例代码有问题~ @SigureMo
image

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paddle-bot-old bot commented Apr 6, 2022

Sorry to inform you that dcf312d's CIs have passed for more than 7 days. To prevent PR conflicts, you need to re-run all CIs manually.

LielinJiang
LielinJiang previously approved these changes Apr 22, 2022
TCChenlong
TCChenlong previously approved these changes Apr 22, 2022

"""

def __init__(self,
block,
depth=50,
width=64,
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这里造成了ResNet API的不兼容,

  1. width 替换成width_per_group的原因式什么?
  2. groups=1 新增参数放到最后,确保兼容

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这里width的名称要不就不改变吧,在文档中说明清楚。兼容性比较重要

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好的好的,我去修改一下

@SigureMo SigureMo dismissed stale reviews from TCChenlong and LielinJiang via c8268f5 April 22, 2022 09:55
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LGTM

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@XiaoguangHu01 XiaoguangHu01 left a comment

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LGTM

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请将这个PR,以及 #40431 cherry-pick 到 release/2.3 @SigureMo

@LielinJiang LielinJiang merged commit ba4e7c7 into PaddlePaddle:develop Apr 25, 2022
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请将这个PR,以及 #40431 cherry-pick 到 release/2.3 @SigureMo

好哒~

@SigureMo SigureMo deleted the re-impl-resnext-based-on-resnet branch April 25, 2022 14:16
SigureMo added a commit to cattidea/Paddle that referenced this pull request Apr 25, 2022
XiaoguangHu01 pushed a commit that referenced this pull request Apr 26, 2022
* reuse ConvNormActivation in some vision models (#40431)

* reuse ConvNormActivation in some vision models

* reimplement ResNeXt based on ResNet (#40588)

* refactor resnext
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4 participants