What is proper way to configure mxnet?

[kingsj0405]

Hello. I'm trying to reproduce your work. Thank you for sharing the code perfectly. But I have some problems to configure mxnet(Not sure, maybe).

Currently, I use the docker image from Nvidia. (https://ngc.nvidia.com/catalog/containers/nvidia:mxnet)

It seems your gridifyop need headers on 3rdparty, src and include to build. So I added apache/incubator-mxnet on my workspace with following command.

git clone -b 1.5.0 --recursive https://github.com/apache/incubator-mxnet mxnet

And I update Makefile as the following image.

Then, I got an error like the followings.

$ CUDA_VISIBLE_DEVICES=1 python -u train/train_gpu_ggcn_mdl40.py > .
./../GAPCN/GridGCN_v1_20200921/mdl40.log
terminate called after throwing an instance of 'std::bad_alloc'
  what():  std::bad_alloc
Aborted (core dumped

Now, I have some questions.

1. Is there a docker image that you use?
2. Do I have to build mxnet from the source?
3. Is there a way to get more detail debug log?

Thank you :)

[sheshap]

@kingsj0405 what are the versions of the following?

gcc
g++
cuda

[kingsj0405]

gcc: 7.5.0
g++: not installed
cuda:

• /usr/local/cuda point /usr/local-cuda-11.0

root@5fb047ad07a2:/workspace# gcc --version
gcc (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0
Copyright (C) 2017 Free Software Foundation, Inc.
This is free software; see the source for copying conditions.  There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

root@5fb047ad07a2:/workspace# g++ -- version
g++: error: version: No such file or directory
g++: error: unrecognized command line option ‘--’
g++: fatal error: no input files
compilation terminated.
root@5fb047ad07a2:/workspace# nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2020 NVIDIA Corporation
Built on Wed_Jul_22_19:09:09_PDT_2020
Cuda compilation tools, release 11.0, V11.0.221
Build cuda_11.0_bu.TC445_37.28845127_0
root@5fb047ad07a2:/workspace# nvidia-smi
Tue Oct  6 02:08:03 2020       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 435.21       Driver Version: 435.21       CUDA Version: 10.1     |
|-------------------------------+----------------------+----------------------+
| 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 108...  Off  | 00000000:19:00.0 Off |                  N/A |
|  0%   40C    P8    14W / 250W |      0MiB / 11178MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+
|   1  GeForce GTX 108...  Off  | 00000000:1A:00.0 Off |                  N/A |
|  0%   42C    P8     9W / 250W |      0MiB / 11178MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+
|   2  GeForce GTX 108...  Off  | 00000000:68:00.0 Off |                  N/A |
|  0%   55C    P8    19W / 250W |      0MiB / 11178MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+

[zcy1065670505]

@kingsj0405 , I have also the same method in building mxnet from source code , I added apache/incubator-mxne on my workspace ,
But I found there is no direction ''mxnet/3rdparty/nnvm/include'' in ''mxnet/3rdparty/''，As follows: