fc6.tensor无法生成，直接在终端执行，会提示核心已转储

[FengLoveBella]

I encountered same problem, when I run the dss_marvin_script(0,100,1,[] ,1,'RPN_NYU',1,[],0,0); I found we can not get the file 'fc6.tensor'

[FengLoveBella]

@Tarssy

[FengLoveBella]

did you solve this problem yet? @Tarssy

The author mentioned
To run the code it requires around 12 G GPU memory, and there is no obvious way to fix it.

---

发件人: zhoufengbuaa notifications@github.com
发送时间: 2016年9月1日 15:09
收件人: shurans/DeepSlidingShape
抄送: Tarssy; Mention
主题: Re: [shurans/DeepSlidingShape] fc6.tensor无法生成，直接在终端执行，会提示核心已转储 (#12)

did you solve this problem yet? @Tarssyhttps://github.com/Tarssy

―
You are receiving this because you were mentioned.
Reply to this email directly, view it on GitHubhttps://github.com//issues/12#issuecomment-243994715, or mute the threadhttps://github.com/notifications/unsubscribe-auth/AT50OebHDMxG0YWRSTSyodbdWV5QY9eIks5qlnoYgaJpZM4JtDNu.

[TyaCUI]

@Tarssy @zhoufengbuaa
Hi, I've encountered the following problems but I don't know how to fix it. Also, what do you mean by "直接在终端运行" ? Will that fix the former issue?

> Error using feof
> Invalid file identifier.  Use fopen to generate a valid file identifier.
> 
> Error in readTensor (line 11)
> while ~feof(fp)
> 
> Error in orgnizefeat (line 38)
> features_fc6 = readTensor([toreadfeaturefolder 'fc6.tensor'],true);
> 
> Error in dss_marvin_script (line 262)
>    orgnizefeat(featurefolder,featureLocalfolder,outfilename_p,cls,opt);

It will be very nice of you to tell me how to fix this problem. Thanks.

FYI, I've run the code on 12G GPU.

[shurans]

This problem exist because the marvin command is not successfully run though matlab.
You can try to copy out the command start with "cd .... " to terminal to run marvin directly.

[TyaCUI]

Thanks. That do help.

[ph81323]

@Tarssy @TyaCUI I have the same error as yours. I run the code on 12.2G GPU and I used command line "cd..." and "...train.sh". Is the space enough or did I do something wrong?
Thank you so much if you reply the question.

[wuqiannomoney]

Only on Graphics card with around 12G memory can the code run successfully?

[sunzhenye]

Nvidia gtx 1080ti is 11G memory. Can I run the code successfully on 1080ti? Thanks.