Correct CTC plugin compilation error

[ghost]

Fix of "plugin/warpctc/./warpctc-inl.h:129:5: error: 'ctcComputeInfo' was not declared in this scope" according to issue #3747

[piiswrong]

@xlvector

[xlvector]

I have tested in my computer, it build ok.
I also run toy_ctc example, use gpu will throw following execptions:

terminate called after throwing an instance of 'std::runtime_error'
what(): Error: compute_ctc_loss, stat = execution failed

use cpu seems will not converge.

Seems I need more time to see what changes baidu had made.

[xlvector]

@flyingmouse can you run warpctc examples in your machine?

[ghost]

@xlvector I have tested on my virtual machine and AWS g2 instance (both Ubuntu 14.04). In CPU mode if I change ctcComputeInfo to ctcOptions, there is no longer compilation error (otherwise the compilation doesn't pass with the error above, cf. issue #3747 ). I've also added the Warpctc bulid path to LD_LIBRARY_PATH. But when I run toy_ctc, it displays:

begin fit
2016-11-17 14:14:36,880 Start training with [cpu(0)]
[1] 45153 segmentation fault (core dumped) python toy_ctc.py

In GPU mode the execution fails after two batches:

begin fit
2016-11-17 13:16:05,084 Start training with [gpu(0)]
2016-11-17 13:16:08,529 Epoch[0] Batch [50] Speed: 709.90 samples/sec Train-Accuracy=0.000000
2016-11-17 13:16:10,503 Epoch[0] Batch [100] Speed: 810.70 samples/sec Train-Accuracy=0.000000
terminate called after throwing an instance of 'std::runtime_error'
what(): Error: compute_ctc_loss, stat = cuda memcpy or memset failed
Aborted (core dumped)

[xlvector]

Thanks , I will try to fix this by review code changes in baidu-ctc this weekend.

[younfor]

use this old git code
https://github.com/baidu-research/warp-ctc/tree/5bfb46e83bcb338a09fbf875cb0b02bc39746b36

[jinxuan777]

@xlvector ,Have you fix this? I met the same problem!

[xlvector]

Seems this PR cause error baidu-research/warp-ctc#47

[xlvector]

baidu-research/warp-ctc#46 I have also test failed with GTX 1080 in latest warpctc master. Seems the easiest fix is to change this document and let other people use my fork (an old version). @piiswrong do you think this is OK?

I will spend more time to check this PR (baidu-research/warp-ctc#47)

[lushuicongsheng]

@xlvector I use chstone/mxnet-gpu docker image and integrate latest warpctc,it seems work.So old version mxnet work well with latest warpctc?

[piiswrong]

@xlvector So this PR doesn't fix the error?

[xlvector]

@lushuicongsheng latest mxnet works with old warp-ctc. Can you test without docker? And what's your card? Are you run under CPU or GPU?

@piiswrong Yes, this PR does not fix problem.

[piiswrong]

Ok. Then let's use old ctc. Could you add a comment on this line to tell people to rollback ctc?
Like ctcComputeInfo info; // please rollback ctc to xxx
Since this line breaks build people using new ctc would see it
Meanwhile post an issue to baidu repo?

[lushuicongsheng]

@xlvector I got no machine with gpu personal,so i can only use docker in centos7. The card is GeForce GTX 950. I install the latest baidu warpctc by following the readme,and change ctcComputeInfo to ctcOptions by above tip.Then it build success,and can both run under GPU and CPU.

[BrianZhu01]

when run the example, I meet the error AttributeError: 'module' object has no attribute 'WarpCTC',who tell me what's wrong?

[BobLiu20]

Up to now , it seems still not solution for this point. I following younfor's advise to use the newest of mxnet and warp-ctc reset to 5bfb46e83bcb338a09fbf875cb0b02bc39746b36 (git reset --hard ). Now I can build and run in GPU correctly (ubuntu14.04 + GTX1080 in docker.)

Additional, if you use GTX1080 the same as me , please reference to another answer by me to solve warp-ctc error in GTX1080.

看起来这里好多中国人哈哈。。。

[BobLiu20]

@BrianZhu01 Please review this guiding page. you have to enable warp-ctc in mxnet.

[piiswrong]

I think @BobLiu20's solution should work for now until we support updated warpctc

So we should change this line to notify users:
ctcComputeInfo info; // please use warp-ctc commit 5bfb46e (cd warp-ctc && git checkout 5bfb46e)
also leave a note in plugin/warpctc/README.md

[BrianZhu01]

@BobLiu20 ，我解决了，更换版本就好了，另外config.mk必须是mxnet的根目录，readme有点歧义，让改make/下的config.mk， 改完需要替换到根目录了，

[piiswrong]

Should have been solved