Some errors when using multi-gpus

[lcf000000]

Training is too slow, and I want using a 4xTian xp to speed up it.
when I set
opts.gpus=[1,2,3,4]
then I get some errors as:

`Warning: Function labindex has the same name as a MATLAB builtin. We suggest you rename the function to avoid a potential name
conflict.

In path at 109
In addpath at 86
In cnn_train_dag at 11
In trainig_siameseFC at 97
In run_increasingData at 6
Warning: Function numlabs has the same name as a MATLAB builtin. We suggest you rename the function to avoid a potential name
conflict.
In path at 109
In addpath at 86
In cnn_train_dag at 11
In trainig_siameseFC at 97
In run_increasingData at 6
Starting parallel pool (parpool) using the 'local' profile ... connected to 1 workers.
cnn_train_dag: resetting GPU
Lab 1:
ans =
Error using cnn_train_dag>(spmd) (line 492)
The parallel pool that SPMD was using has been shut down.

Error in cnn_train_dag>prepareGPUs (line 492)
spmd

Error in cnn_train_dag (line 92)
prepareGPUs(opts, epoch == start+1) ;

Error in trainig_siameseFC (line 97)
[net, stats] = cnn_train_dag(net, imdb, batch_fn, opts.train);

Error in run_increasingData (line 6)
trainig_siameseFC(imdb_data, 86);

The client lost connection to worker 1. This might be due to network problems, or the interactive communicating job might have
errored.
`

[jvlmdr]

Sorry, we haven't tested support for training with multiple GPUs. These look like errors coming from matconvnet and/or the parallel toolbox.