'THCudaCheck FAIL' Using Cuda7.5 Docker Image

[spadavec]

After installing the NVIDIA docker image, and loading the Torch RNN docker via:

nvidia-docker run --rm -ti crisbal/torch-rnn:cuda7.5 bash

and preprocessing via

root@3da15ad69af8:~/torch-rnn# python scripts/preprocess.py --input_txt data/library.txt --output_h5 data/library.h5 --output_json data/library.json

Attempting to train the system results in the following:

root@3da15ad69af8:~/torch-rnn# th train.lua -input_h5 data/library.h5 -input_json data/library.json
Running with CUDA on GPU 0
THCudaCheck FAIL file=/tmp/luarocks_cutorch-scm-1-9234/cutorch/lib/THC/THCGeneral.c line=608 error=8 : invalid device function
/root/torch/install/bin/luajit: /root/torch/install/share/lua/5.1/nn/Container.lua:67:
In 2 module of nn.Sequential:
./LSTM.lua:128: cuda runtime error (8) : invalid device function at /tmp/luarocks_cutorch-scm-1-9234/cutorch/lib/THC/THCGeneral.c:608
stack traceback:
[C]: in function 'resize'
./LSTM.lua:128: in function <./LSTM.lua:118>
[C]: in function 'xpcall'
/root/torch/install/share/lua/5.1/nn/Container.lua:63: in function 'rethrowErrors'
/root/torch/install/share/lua/5.1/nn/Sequential.lua:44: in function 'forward'
train.lua:130: in function 'opfunc'
/root/torch/install/share/lua/5.1/optim/adam.lua:33: in function 'adam'
train.lua:187: in main chunk
[C]: in function 'dofile'
/root/torch/install/lib/luarocks/rocks/trepl/scm-1/bin/th:145: in main chunk
[C]: at 0x00406670

WARNING: If you see a stack trace below, it doesn't point to the place where this error occured. Please use only the one above.
stack traceback:
[C]: in function 'error'
/root/torch/install/share/lua/5.1/nn/Container.lua:67: in function 'rethrowErrors'
/root/torch/install/share/lua/5.1/nn/Sequential.lua:44: in function 'forward'
train.lua:130: in function 'opfunc'
/root/torch/install/share/lua/5.1/optim/adam.lua:33: in function 'adam'
train.lua:187: in main chunk
[C]: in function 'dofile'
/root/torch/install/lib/luarocks/rocks/trepl/scm-1/bin/th:145: in main chunk
[C]: at 0x00406670

[crisbal]

I think this is an issue that one needs to report to the main torch-rnn repo (https://github.com/jcjohnson/torch-rnn) and not on this one.

First of all, are you for sure running a CUDA video card?
If yes, let's try something, what happens if you run nvidia-smi inside the container?
Does it show any relevant info?

[spadavec]

@crisbal thanks for the heads up--i will post this to the torch-rnn repo instead. For what its worth, i do have a gpu installed:

root@9be35619d034:~/torch-rnn# nvidia-smi
Mon Jul 11 19:17:26 2016
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 367.27 Driver Version: 367.27 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce GTX 1080 Off | 0000:01:00.0 On | N/A |
| 28% 41C P8 7W / 180W | 725MiB / 8113MiB | 1% Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
+-----------------------------------------------------------------------------+

[crisbal]

Let me know if in the end it is my fault or their :)

One random thought I had: since you have a 1080 maybe it uses some new kind of CUDA that maybe it is not well supported by either nvidia-docker or torch.

[spadavec]

@crisbal it looks like the issue is that a newer version of CUDA is needed:

jcjohnson/torch-rnn#122

Did you have any plans to make a CUDA8 version of the docker? Thanks for all the work you've done!

[crisbal]

As soon as I get my hands on a Cuda machine and on fast Internet I will.
Sorry I can't do it ASAP.

On Tue, Jul 12, 2016, 06:50 spadavec notifications@github.com wrote:

@crisbal https://github.com/crisbal it looks like the issue is that a
newer version of CUDA is needed:

jcjohnson/torch-rnn#122
jcjohnson/torch-rnn#122

Did you have any plans to make a CUDA8 version of the docker? Thanks for
all the work you've done!

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[xoryouyou]

@spadavec I had the same issue and build this today https://hub.docker.com/r/xoryouyou/torch-rnn/

[HandsomeDevilv112]

I got this error today as I'm using a 1080 and have cuda 8 installed.
@xoryouyou, I tried the command on the page you posted, but I'm getting an error
docker pull xoryouyou/torch-rnn Using default tag: latest Error response from daemon: manifest for xoryouyou/torch-rnn:latest not found

[xoryouyou]

@HandsomeDevilv112 yeah the images it was only tagged as 1.0 and not latest I updated it.

[HandsomeDevilv112]

@xoryouyou: Cool! Much obliged. That seems to have done the trick. My apologies if there was a way for me to fix that myself and I just didn't catch it.

[valentinvieriu]

@xoryouyou Do you think you can share the Docker file also? I want to have a look on how you build your image.
I'm trying to use https://github.com/crisbal/docker-torch-rnn/blob/master/CUDA/8.0/Dockerfile but it does not compile
It fails at this section:

RUN git clone https://github.com/jcjohnson/torch-rnn && \
    pip install -r torch-rnn/requirements.txt

[xoryouyou]

@valentinvieriu sorry I currently don't have access to that machine where I build the torch-rnn but i'll see if I can recreate your issue.

[valentinvieriu]

This is the issue that pops out:
'''
copying h5py/tests/hl/test_file.py -> build/lib.linux-x86_64-2.7/h5py/tests/hl
running build_ext
Traceback (most recent call last):
File "", line 1, in
File "/tmp/pip-build-MyYa9y/h5py/setup.py", line 140, in
cmdclass = CMDCLASS,
File "/usr/lib/python2.7/distutils/core.py", line 151, in setup
dist.run_commands()
File "/usr/lib/python2.7/distutils/dist.py", line 953, in run_commands
self.run_command(cmd)
File "/usr/lib/python2.7/distutils/dist.py", line 972, in run_command
cmd_obj.run()
File "/usr/lib/python2.7/dist-packages/wheel/bdist_wheel.py", line 179, in run
self.run_command('build')
File "/usr/lib/python2.7/distutils/cmd.py", line 326, in run_command
self.distribution.run_command(command)
File "/usr/lib/python2.7/distutils/dist.py", line 972, in run_command
cmd_obj.run()
File "/usr/lib/python2.7/distutils/command/build.py", line 128, in run
self.run_command(cmd_name)
File "/usr/lib/python2.7/distutils/cmd.py", line 326, in run_command
self.distribution.run_command(command)
File "/usr/lib/python2.7/distutils/dist.py", line 972, in run_command
cmd_obj.run()
File "/tmp/pip-build-MyYa9y/h5py/setup_build.py", line 140, in run
from Cython.Build import cythonize
ImportError: No module named Cython.Build
'''
This is by uisng https://github.com/crisbal/docker-torch-rnn/blob/master/CUDA/8.0/Dockerfile

as said it fails at the:

RUN git clone https://github.com/jcjohnson/torch-rnn && \
    pip install -r torch-rnn/requirements.txt

section

Any help is appreciated. I'm not very familiar with the dependencies, I plan only to use this as a tool.

Thank you @xoryouyou

[valentinvieriu]

Ok for future references, this fixed the building issue on ubuntu 16.04
replace

RUN git clone https://github.com/jcjohnson/torch-rnn && \
    pip install -r torch-rnn/requirements.txt

from https://github.com/crisbal/docker-torch-rnn/blob/master/CUDA/8.0/Dockerfile
with

#torch-rnn and python requirements
# we use https://github.com/jcjohnson/torch-rnn/blob/master/requirements.txt as a quideline
WORKDIR /root
RUN apt-get install -y cython
RUN pip install --upgrade pip
RUN pip install Cython==0.23.4
RUN pip install numpy==1.10.4
RUN pip install argparse==1.2.1
RUN HDF5_DIR=/usr/lib/x86_64-linux-gnu/hdf5/serial/ pip install h5py==2.5.0
RUN pip install six==1.10.0
RUN git clone https://github.com/jcjohnson/torch-rnn

I will work on a Docker image and share it with the rest when it's finished

[xoryouyou]

@valentinvieriu I am currently building with the crisbal/docker-torch-rnn image on arch and it looks to build fine. Will report when done.

[xoryouyou]

Build on Linux 4.12.8-2-ARCH #1 SMP PREEMPT Fri Aug 18 14:08:02 UTC 2017 x86_64 GNU/Linux with Docker version 17.06.0-ce, build 3dfb8343
build_log.txt