使用get_channel_units.py裁剪过后,"choice"全是1,这个的原因是什么?

[scuizhibin]

No description provided.

[mm-assistant]

We recommend using English or English & Chinese for issues so that we could have broader discussion.

[scuizhibin]

Using get_channel_units.py to analyze the FCOS3D.py file, the "choice" in the obtained json file is all equal to 1. Is this normal?

[Yuanyang-Zhu]

所以，这个问题是怎么解决的？我使用这个裁剪后也全是1

[scuizhibin]

看一下 pruning mmdet 的 readme

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---原始邮件--- 发件人: "Yuanyang ***@***.***> 发送时间: 2023年7月27日(周四) 上午8:06 收件人: ***@***.***>; 抄送: ***@***.***>;"State ***@***.***>; 主题: Re: [open-mmlab/mmrazor] 使用get_channel_units.py裁剪过后,"choice"全是1,这个的原因是什么? (Issue #529) 所以，这个问题是怎么解决的？我使用这个裁剪后也全是1 — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you modified the open/close state.Message ID: ***@***.***>

[Yuanyang-Zhu]

找了所有的readme都没有提到具体操作。

[scuizhibin]

-c  -i 用了吗？

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---原始邮件--- 发件人: "Yuanyang ***@***.***> 发送时间: 2023年7月27日(周四) 下午2:30 收件人: ***@***.***>; 抄送: ***@***.***>;"State ***@***.***>; 主题: Re: [open-mmlab/mmrazor] 使用get_channel_units.py裁剪过后,"choice"全是1,这个的原因是什么? (Issue #529) 找了所有的readme都没有提到具体操作。 — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you modified the open/close state.Message ID: ***@***.***>

[LKJacky]

Please provide your config file to help us solve this problem.

[scuizhibin]

等我下班了吧(╥_╥)。我在调试东西

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---原始邮件--- 发件人: ***@***.***> 发送时间: 2023年7月27日(周四) 下午2:36 收件人: ***@***.***>; 抄送: ***@***.***>;"State ***@***.***>; 主题: Re: [open-mmlab/mmrazor] 使用get_channel_units.py裁剪过后,"choice"全是1,这个的原因是什么? (Issue #529) Please provide your config file to help us solve this problem. — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you modified the open/close state.Message ID: ***@***.***>

[Yuanyang-Zhu]

mcv                    2.0.1
mmdet                   3.0.0
mmengine                0.8.2
mmpretrain              1.0.0
mmrazor                 1.0.0                /data/lemon/mmrazor
torch                   1.12.1+cu116
torchaudio              0.12.1+cu113
torchvision             0.13.1+cu116

没有任何改动，运行python tools/pruning/get_channel_units.py -c -i configs/pruning/mmdet/dcff/dcff_faster_rcnn_resnet50_8xb4_coco.py ，结果：
{ "type":"DCFFChannelMutator", "channel_unit_cfg":{ "type":"DCFFChannelUnit", "default_args":{ "choice_mode":"ratio" }, "units":{ "backbone.conv1_(0, 64)_64":{ "init_args":{ "num_channels":64, "choice_mode":"ratio", "divisor":1, "min_value":1, "min_ratio":0.9 }, "channels":{ "input_related":[ { "name":"backbone.bn1", "start":0, "end":64, "is_output_channel":false }, { "name":"backbone.layer1.0.conv1", "start":0, "end":64, "is_output_channel":false }, { "name":"backbone.layer1.0.downsample.0", "start":0, "end":64, "is_output_channel":false } ], "output_related":[ { "name":"backbone.conv1", "start":0, "end":64, "is_output_channel":true }, { "name":"backbone.bn1", "start":0, "end":64, "is_output_channel":true } ] }, "choice":1.0 }, "backbone.layer1.0.conv1_(0, 64)_64":{ "init_args":{ "num_channels":64, "choice_mode":"ratio", "divisor":1, "min_value":1, "min_ratio":0.9 }, "channels":{ "input_related":[ { "name":"backbone.layer1.0.bn1", "start":0, "end":64, "is_output_channel":false }, { "name":"backbone.layer1.0.conv2", "start":0, "end":64, "is_output_channel":false } ], "output_related":[ { "name":"backbone.layer1.0.conv1", "start":0, "end":64, "is_output_channel":true }, { "name":"backbone.layer1.0.bn1", "start":0, "end":64, "is_output_channel":true } ] }, "choice":1.0 }, "backbone.layer1.0.conv2_(0, 64)_64":{ "init_args":{ "num_channels":64, "choice_mode":"ratio", "divisor":1, "min_value":1, "min_ratio":0.9 }, "channels":{ "input_related":[ { "name":"backbone.layer1.0.bn2", "start":0, "end":64, "is_output_channel":false }, { "name":"backbone.layer1.0.conv3", "start":0, "end":64, "is_output_channel":false } ], "output_related":[ { "name":"backbone.layer1.0.conv2", "start":0, "end":64, "is_output_channel":true }, { "name":"backbone.layer1.0.bn2", "start":0, "end":64, "is_output_channel":true } ] }, "choice":1.0 }, "backbone.layer1.0.conv3_(0, 256)_256":{ "init_args":{ "num_channels":256, "choice_mode":"ratio", "divisor":1, "min_value":1, "min_ratio":0.9 }, "channels":{ "input_related":[ { "name":"backbone.layer1.0.bn3", "start":0, "end":256, "is_output_channel":false }, { "name":"backbone.layer1.0.downsample.1", "start":0, "end":256, "is_output_channel":false }, { "name":"<built-in function add>", "start":0, "end":256, "is_output_channel":false }, { "name":"backbone.layer1.1.conv1", "start":0, "end":256, "is_output_channel":false }, { "name":"backbone.layer1.1.bn3", "start":0, "end":256, "is_output_channel":false }, { "name":"backbone.layer1.2.conv1", "start":0, "end":256, "is_output_channel":false }, { "name":"backbone.layer1.2.bn3", "start":0, "end":256, "is_output_channel":false }, { "name":"backbone.layer2.0.conv1", "start":0, "end":256, "is_output_channel":false }, { "name":"backbone.layer2.0.downsample.0", "start":0, "end":256, "is_output_channel":false }, { "name":"neck.lateral_convs.0.conv", "start":0, "end":256, "is_output_channel":false } ], "output_related":[ { "name":"backbone.layer1.0.conv3", "start":0, "end":256, "is_output_channel":true }, { "name":"backbone.layer1.0.bn3", "start":0, "end":256, "is_output_channel":true }, { "name":"backbone.layer1.0.downsample.0", "start":0, "end":256, "is_output_channel":true }, { "name":"backbone.layer1.0.downsample.1", "start":0, "end":256, "is_output_channel":true }, { "name":"<built-in function add>", "start":0, "end":256, "is_output_channel":true }, { "name":"backbone.layer1.1.conv3", "start":0, "end":256, "is_output_channel":true }, { "name":"backbone.layer1.1.bn3", "start":0, "end":256, "is_output_channel":true }, { "name":"backbone.layer1.2.conv3", "start":0, "end":256, "is_output_channel":true }, { "name":"backbone.layer1.2.bn3", "start":0, "end":256, "is_output_channel":true } ] }, "choice":1.0 }, "backbone.layer1.1.conv1_(0, 64)_64":{ "init_args":{ "num_channels":64, "choice_mode":"ratio", "divisor":1, "min_value":1, "min_ratio":0.9 }, "channels":{ "input_related":[ { "name":"backbone.layer1.1.bn1", "start":0, "end":64, "is_output_channel":false }, { "name":"backbone.layer1.1.conv2", "start":0, "end":64, "is_output_channel":false } ], "output_related":[ { "name":"backbone.layer1.1.conv1", "start":0, "end":64, "is_output_channel":true }, { "name":"backbone.layer1.1.bn1", "start":0, "end":64, "is_output_channel":true } ] }, "choice":1.0 }, "backbone.layer1.1.conv2_(0, 64)_64":{ "init_args":{ "num_channels":64, "choice_mode":"ratio", "divisor":1, "min_value":1, "min_ratio":0.9 }, "channels":{ "input_related":[ { "name":"backbone.layer1.1.bn2", "start":0, "end":64, "is_output_channel":false }, { "name":"backbone.layer1.1.conv3", "start":0, "end":64, "is_output_channel":false } ], "output_related":[ { "name":"backbone.layer1.1.conv2", "start":0, "end":64, "is_output_channel":true }, { "name":"backbone.layer1.1.bn2", "start":0, "end":64, "is_output_channel":true } ] }, "choice":1.0 }, "backbone.layer1.2.conv1_(0, 64)_64":{ "init_args":{ "num_channels":64, "choice_mode":"ratio", "divisor":1, "min_value":1, "min_ratio":0.9 }, "channels":{ "input_related":[ { "name":"backbone.layer1.2.bn1", "start":0, "end":64, "is_output_channel":false }, { "name":"backbone.layer1.2.conv2", "start":0, "end":64, "is_output_channel":false } ], "output_related":[ { "name":"backbone.layer1.2.conv1", "start":0, "end":64, "is_output_channel":true }, { "name":"backbone.layer1.2.bn1", "start":0, "end":64, "is_output_channel":true } ] }, "choice":1.0 }, "backbone.layer1.2.conv2_(0, 64)_64":{ "init_args":{ "num_channels":64, "choice_mode":"ratio", "divisor":1, "min_value":1, "min_ratio":0.9 }, "channels":{ "input_related":[ { "name":"backbone.layer1.2.bn2", "start":0, "end":64, "is_output_channel":false }, { "name":"backbone.layer1.2.conv3", "start":0, "end":64, "is_output_channel":false } ], "output_related":[ { "name":"backbone.layer1.2.conv2", "start":0, "end":64, "is_output_channel":true }, { "name":"backbone.layer1.2.bn2", "start":0, "end":64, "is_output_channel":true } ] }, "choice":1.0 }, "backbone.layer2.0.conv1_(0, 128)_128":{ "init_args":{ "num_channels":128, "choice_mode":"ratio", "divisor":1, "min_value":1, "min_ratio":0.9 }, "channels":{ "input_related":[ { "name":"backbone.layer2.0.bn1", "start":0, "end":128, "is_output_channel":false }, { "name":"backbone.layer2.0.conv2", "start":0, "end":128, "is_output_channel":false } ], "output_related":[ { "name":"backbone.layer2.0.conv1", "start":0, "end":128, "is_output_channel":true }, { "name":"backbone.layer2.0.bn1", "start":0, "end":128, "is_output_channel":true } ] }, "choice":1.0 }, "backbone.layer2.0.conv2_(0, 128)_128":{ "init_args":{ "num_channels":128, "choice_mode":"ratio", "divisor":1, "min_value":1, "min_ratio":0.9 }, "channels":{ "input_related":[ { "name":"backbone.layer2.0.bn2", "start":0, "end":128, "is_output_channel":false }, { "name":"backbone.layer2.0.conv3", "start":0, "end":128, "is_output_channel":false } ], "output_related":[ { "name":"backbone.layer2.0.conv2", "start":0, "end":128, "is_output_channel":true }, { "name":"backbone.layer2.0.bn2", "start":0, "end":128, "is_output_channel":true } ] }, "choice":1.0 }, "backbone.layer2.0.conv3_(0, 512)_512":{ "init_args":{ "num_channels":512, "choice_mode":"ratio", "divisor":1, "min_value":1, "min_ratio":0.9 }, "channels":{ "input_related":[ { "name":"backbone.layer2.0.bn3", "start":0, "end":512, "is_output_channel":false }, { "name":"backbone.layer2.0.downsample.1", "start":0, "end":512, "is_output_channel":false }, { "name":"<built-in function add>", "start":0, "end":512, "is_output_channel":false }, { "name":"backbone.layer2.1.conv1", "start":0, "end":512, "is_output_channel":false }, { "name":"backbone.layer2.1.bn3", "start":0, "end":512, "is_output_channel":false }, { "name":"backbone.layer2.2.conv1", "start":0, "end":512, "is_output_channel":false }, { "name":"backbone.layer2.2.bn3", "start":0, "end":512, "is_output_channel":false }, { "name":"backbone.layer2.3.conv1", "start":0, "end":512, "is_output_channel":false }, { "name":"backbone.layer2.3.bn3", "start":0, "end":512, "is_output_channel":false }, { "name":"backbone.layer3.0.conv1", "start":0, "end":512, "is_output_channel":false }, { "name":"backbone.layer3.0.downsample.0", "start":0, "end":512, "is_output_channel":false }, { "name":"neck.lateral_convs.1.conv", "start":0, "end":512, "is_output_channel":false } ], "output_related":[ { "name":"backbone.layer2.0.conv3", "start":0, "end":512, "is_output_channel":true }, { "name":"backbone.layer2.0.bn3", "start":0, "end":512, "is_output_channel":true }, { "name":"backbone.layer2.0.downsample.0", "start":0, "end":512, "is_output_channel":true }, { "name":"backbone.layer2.0.downsample.1", "start":0, "end":512, "is_output_channel":true }, { "name":"<built-in function add>", "start":0, "end":512, "is_output_channel":true }, { "name":"backbone.layer2.1.conv3", "start":0, "end":512, "is_output_channel":true }, { "name":"backbone.layer2.1.bn3", "start":0, "end":512, "is_output_channel":true }, { "name":"backbone.layer2.2.conv3", "start":0, "end":512, "is_output_channel":true }, { "name":"backbone.layer2.2.bn3", "start":0, "end":512, "is_output_channel":true }, { "name":"backbone.layer2.3.conv3", "start":0, "end":512, "is_output_channel":true }, { "name":"backbone.layer2.3.bn3", "start":0, "end":512, "is_output_channel":true } ] }, "choice":1.0 }, "backbone.layer2.1.conv1_(0, 128)_128":{ "init_args":{ "num_channels":128, "choice_mode":"ratio", "divisor":1, "min_value":1, "min_ratio":0.9 }, "channels":{ "input_related":[ { "name":"backbone.layer2.1.bn1", "start":0, "end":128, "is_output_channel":false }, { "name":"backbone.layer2.1.conv2", "start":0, "end":128, "is_output_channel":false } ], "output_related":[ { "name":"backbone.layer2.1.conv1", "start":0, "end":128, "is_output_channel":true }, { "name":"backbone.layer2.1.bn1", "start":0, "end":128, "is_output_channel":true } ] }, "choice":1.0 }, "backbone.layer2.1.conv2_(0, 128)_128":{ "init_args":{ "num_channels":128, "choice_mode":"ratio", "divisor":1, "min_value":1, "min_ratio":0.9 }, "channels":{ "input_related":[ { "name":"backbone.layer2.1.bn2", "start":0, "end":128, "is_output_channel":false }, { "name":"backbone.layer2.1.conv3", "start":0, "end":128, "is_output_channel":false } ], "output_related":[ { "name":"backbone.layer2.1.conv2", "start":0, "end":128, "is_output_channel":true }, { "name":"backbone.layer2.1.bn2", "start":0, "end":128, "is_output_channel":true } ] }, "choice":1.0 }, "backbone.layer2.2.conv1_(0, 128)_128":{ "init_args":{ "num_channels":128, "choice_mode":"ratio", "divisor":1, "min_value":1, "min_ratio":0.9 }, "channels":{ "input_related":[ { "name":"backbone.layer2.2.bn1", "start":0, "end":128, "is_output_channel":false }, { "name":"backbone.layer2.2.conv2", "start":0, "end":128, "is_output_channel":false } ], "output_related":[ { "name":"backbone.layer2.2.conv1", "start":0, "end":128, "is_output_channel":true }, { "name":"backbone.layer2.2.bn1", "start":0, "end":128, "is_output_channel":true } ] }, "choice":1.0 }, "backbone.layer2.2.conv2_(0, 128)_128":{ "init_args":{ "num_channels":128, "choice_mode":"ratio", "divisor":1, "min_value":1, "min_ratio":0.9 }, "channels":{ "input_related":[ { "name":"backbone.layer2.2.bn2", "start":0, "end":128, "is_output_channel":false }, { "name":"backbone.layer2.2.conv3", "start":0, "end":128, "is_output_channel":false } ], "output_related":[ { "name":"backbone.layer2.2.conv2", "start":0, "end":128, "is_output_channel":true }, { "name":"backbone.layer2.2.bn2", "start":0, "end":128, "is_output_channel":true } ] }, "choice":1.0 }, "backbone.layer2.3.conv1_(0, 128)_128":{ "init_args":{ "num_channels":128, "choice_mode":"ratio", "divisor":1, "min_value":1, "min_ratio":0.9 }, "channels":{ "input_related":[ { "name":"backbone.layer2.3.bn1", "start":0, "end":128, "is_output_channel":false }, { "name":"backbone.layer2.3.conv2", "start":0, "end":128, "is_output_channel":false } ], "output_related":[ { "name":"backbone.layer2.3.conv1", "start":0, "end":128, "is_output_channel":true }, { "name":"backbone.layer2.3.bn1", "start":0, "end":128, "is_output_channel":true } ] }, "choice":1.0 }, "backbone.layer2.3.conv2_(0, 128)_128":{ "init_args":{ "num_channels":128, "choice_mode":"ratio", "divisor":1, "min_value":1, "min_ratio":0.9 }, "channels":{ "input_related":[ { "name":"backbone.layer2.3.bn2", "start":0, "end":128, "is_output_channel":false }, { "name":"backbone.layer2.3.conv3", "start":0, "end":128, "is_output_channel":false } ], "output_related":[ { "name":"backbone.layer2.3.conv2", "start":0, "end":128, "is_output_channel":true }, { "name":"backbone.layer2.3.bn2", "start":0, "end":128, "is_output_channel":true } ] }, "choice":1.0 }, "backbone.layer3.0.conv1_(0, 256)_256":{ "init_args":{ "num_channels":256, "choice_mode":"ratio", "divisor":1, "min_value":1, "min_ratio":0.9 }, "channels":{ "input_related":[ { "name":"backbone.layer3.0.bn1", "start":0, "end":256, "is_output_channel":false }, { "name":"backbone.layer3.0.conv2", "start":0, "end":256, "is_output_channel":false } ], "output_related":[ { "name":"backbone.layer3.0.conv1", "start":0, "end":256, "is_output_channel":true }, { "name":"backbone.layer3.0.bn1", "start":0, "end":256, "is_output_channel":true } ] }, "choice":1.0 }, "backbone.layer3.0.conv2_(0, 256)_256":{ "init_args":{ "num_channels":256, "choice_mode":"ratio", "divisor":1, "min_value":1, "min_ratio":0.9 }, "channels":{ "input_related":[ { "name":"backbone.layer3.0.bn2", "start":0, "end":256, "is_output_channel":false }, { "name":"backbone.layer3.0.conv3", "start":0, "end":256, "is_output_channel":false } ], "output_related":[ { "name":"backbone.layer3.0.conv2", "start":0, "end":256, "is_output_channel":true }, { "name":"backbone.layer3.0.bn2", "start":0, "end":256, "is_output_channel":true } ] }, "choice":1.0 }, "backbone.layer3.0.conv3_(0, 1024)_1024":{ "init_args":{ "num_channels":1024, "choice_mode":"ratio", "divisor":1, "min_value":1, "min_ratio":0.9 }, "channels":{ "input_related":[ { "name":"backbone.layer3.0.bn3", "start":0, "end":1024, "is_output_channel":false }, { "name":"backbone.layer3.0.downsample.1", "start":0, "end":1024, "is_output_channel":false }, { "name":"<built-in function add>", "start":0, "end":1024, "is_output_channel":false }, { "name":"backbone.layer3.1.conv1", "start":0, "end":1024, "is_output_channel":false }, { "name":"backbone.layer3.1.bn3", "start":0, "end":1024, "is_output_channel":false }, { "name":"backbone.layer3.2.conv1", "start":0, "end":1024, "is_output_channel":false }, { "name":"backbone.layer3.2.bn3", "start":0, "end":1024, "is_output_channel":false }, { "name":"backbone.layer3.3.conv1", "start":0, "end":1024, "is_output_channel":false }, { "name":"backbone.layer3.3.bn3", "start":0, "end":1024, "is_output_channel":false }, { "name":"backbone.layer3.4.conv1", "start":0, "end":1024, "is_output_channel":false }, { "name":"backbone.layer3.4.bn3", "start":0, "end":1024, "is_output_channel":false }, { "name":"backbone.layer3.5.conv1", "start":0, "end":1024, "is_output_channel":false }, { "name":"backbone.layer3.5.bn3", "start":0, "end":1024, "is_output_channel":false }, { "name":"backbone.layer4.0.conv1", "start":0, "end":1024, "is_output_channel":false }, { "name":"backbone.layer4.0.downsample.0", "start":0, "end":1024, "is_output_channel":false }, { "name":"neck.lateral_convs.2.conv", "start":0, "end":1024, "is_output_channel":false } ], "output_related":[ { "name":"backbone.layer3.0.conv3", "start":0, "end":1024, "is_output_channel":true }, { "name":"backbone.layer3.0.bn3", "start":0, "end":1024, "is_output_channel":true }, { "name":"backbone.layer3.0.downsample.0", "start":0, "end":1024, "is_output_channel":true }, { "name":"backbone.layer3.0.downsample.1", "start":0, "end":1024, "is_output_channel":true }, { "name":"<built-in function add>", "start":0, "end":1024, "is_output_channel":true }, { "name":"backbone.layer3.1.conv3", "start":0, 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[LKJacky]

@Yuanyang-Zhu

It' is not a bug. 1.0 is a float which represents the ratio to remain channels For example, choice=0.5 means that half of channels are remained. Please refer to the source code

[hh123445]

@Yuanyang-Zhu

It' is not a bug. 1.0 is a float which represents the ratio to remain channels For example, choice=0.5 means that half of channels are remained. Please refer to the source code

But if the choice is all 1.0, it indicates that the model has not been pruned. How should we solve this problem?