[WARN] Cannot find rule for <class 'torch.nn.modules.container.Sequential'>. Treat it as zero Macs and zero Params.

[hitachinsk]

Hello, I'm not familiar with this excellent tool, I wanna implement a CNN model using pytorch, and this model may contain some Sequential objects, which include some submodels because I want to make my codes more readable.

However, when I test the FLOPS and parameters of my model, I encounter such warning [WARN] Cannot find rule for <class 'torch.nn.modules.container.Sequential'>. Treat it as zero Macs and zero Params. does it make some difference to the final result? I'm looking forward to your reply, thank you very much.

[chenxlin222]

hello，have you resolved the problem?

[hitachinsk]

@chenxlin222 Sounds interesting, I will take a shot, thank you.

[Wblossom]

@hitachinsk Hi, have you resolved the problem? I met the same problem.

[Jackyinuo]

@hitachinsk I have met the same problem. have you resolved the problem?

[sunruina2]

maybe same problem? flops, params = profile(xtr_net, inputs=(dense, fly_emb_lst),custom_ops={}) print(flops / 1000, ' / ', params / 1000)

[WARN] Cannot find rule for <class 'main.mio_dense_layer'>. Treat it as zero Macs and zero Params. [WARN] Cannot find rule for <class 'torch.nn.modules.container.Sequential'>. Treat it as zero Macs and zero Params. [WARN] Cannot find rule for <class 'main.simple_dense_network'>. Treat it as zero Macs and zero Params. [WARN] Cannot find rule for <class 'main.XtrModule'>. Treat it as zero Macs and zero Params. [WARN] Cannot find rule for <class 'torch.nn.modules.container.ModuleList'>. Treat it as zero Macs and zero Params. [WARN] Cannot find rule for <class 'torch.nn.modules.activation.Sigmoid'>. Treat it as zero Macs and zero Params. [WARN] Cannot find rule for <class 'main.simple_lhuc_network'>. Treat it as zero Macs and zero Params. [WARN] Cannot find rule for <class 'torch.nn.modules.activation.Softmax'>. Treat it as zero Macs and zero Params. [WARN] Cannot find rule for <class 'main.transformer_component'>. Treat it as zero Macs and zero Params. [WARN] Cannot find rule for <class 'main.mmoe_layer'>. Treat it as zero Macs and zero Params. [WARN] Cannot find rule for <class 'main.PositionalEmbedding'>. Treat it as zero Macs and zero Params. [WARN] Cannot find rule for <class 'main.SnackModuleInner'>. Treat it as zero Macs and zero Params. 0.0 / 0.0

[yuyijie1995]

Have you solved it?

[JiahaoHuang99]

I met the same prob. Have you solved it?

[zhangqizky]

same here, beg for solution.

[Cassieyy]

Beg for solution...

[paleomoon]

Same question, found an explanation at another tool, seems it's ok to a container.

[ClarissaDHL]

Hi, I met the same question. Have u sovled the problem?

[Leojc]

I think this warning doesn't affect the result. The submodules in the nn.Sequential are calculated. The warning info is a little misleading though.

[Jasonx001]

If the rule does not generate computation, or it is not a part of your source architecture, just treat it as zero Macs and zero Params.

[ironman1996]

I think this warning doesn't affect the result. The submodules in the nn.Sequential are calculated. The warning info is a little misleading though.

Actually it affects. With the warning, my network's macs and paras equal 0.

[zyxjtu]

Same question, found an explanation at another tool, seems it's ok to a container.

Excuse me, the calculate result of another tool is right? And you verify it's result? I'm looking forward to your reply, thank you very much.

[zhangqizky]

您的邮件已收到，我会尽快回复，谢谢。张琦

[Cassieyy]

您的邮件已收到哦我会及时处理哒~

[paleomoon]

@zyxjtu I didn't use the another, I just state the similar issues. Use this tool, and ignore the warning, it's ok.

[Lyken17]

Hi there,

Could you try upgrade to the latest version and see the warning still continues?

[bigdaronlee163]

I meet the same problem previously,for the FLOPs counter,I use [https://github.com/1adrianb/pytorch-estimate-flops](flops tool) and get the correct answer.

[sunsq1024]

Hi there,

Could you try upgrade to the latest version and see the warning still continues? 到现在仍然有警告

[zhangqizky]

您的邮件已收到，我会尽快回复，谢谢。张琦

[SebastianWang9]

I have same problems.Beg for solution...

[zhangqizky]

您的邮件已收到，我会尽快回复，谢谢。张琦

[SebastianWang9]

您好，我已收到您的邮件，谢谢！

[Cassieyy]

您的邮件已收到哦我会及时处理哒~