Harshal Bhamare

@JustinhoCHN what new in command

I got following error while running multi_gpu.py configuration: Ubuntu: 18.04 CPU 8GB python 3.6 resnet_v1_50/block1 (?, ?, ?, 256) resnet_v1_50/block2 (?, ?, ?, 512) resnet_v1_50/block3 (?, ?, ?, 1024) resnet_v1_50/block4...

> It seem a problem of multiprocessing in windows, i got the same problem in windows and run well in linux. Changing the parameter 'use_mutiprocessing=False' in line 726 in file...

@Antonio-hi so what is workaround for it?

what need to take care while preprocessing of dataset.

Right now training of SVHN dataset is done but when I used char_map.json because I want to train my custom mode only for alphanumeric characters only ``` python3 chainer/train_text_recognition.py /root/small_dataset_2/curriculum.json...

I used different character map file to predict classes but how to adjust output of classification layer of the recognition network. please guide.

Please find following command. ``` python3 chainer/train_text_recognition.py /root/small_dataset_2/curriculum.json log --blank-label 0 --batch-size 16 --is-trainer-snapshot --use-dropout --char-map /root/small_dataset_2/ctc_char_map.json --gpu 0 --snapshot-interval 1000 --dropout-ratio 0.2 --epoch 200 -lr 0.0001 /usr/lib/python3.5/site-packages/chainer/backends/cuda.py:98: UserWarning: cuDNN...

when that error is comming `training curriculum has finished. terminating the training process.`

While training of datset is started that time following error comes: 5000 2.07316 0 9.96634e-05 2.04356 0 2.05553 0 $ total [###...............................................] 7.04% this epoch [###...............................................] 7.46% 5000 iter, 14...