Run time error on Mac

[sada-narayanappa]

I get the following error running on Mac

[sscmf1jsg8wl /opt/LMCO/git/notebooks/no-git/RNN-Time-series-Anomaly-Detection] python 1_train_predictor.py --data ecg
=> Start training from scratch

Namespace(augment=True, batch_size=64, bptt=50, clip=10, data='ecg', device='cpu', dropout=0.2, emsize=32, epochs=400, eval_batch_size=64, filename='chfdb_chf13_45590.pkl', log_interval=10, lr=0.0002, model='LSTM', nhid=32, nlayers=2, prediction_window_size=10, pretrained=False, res_connection=False, resume=False, save_fig=False, save_interval=10, seed=1111, teacher_forcing_ratio=0.7, tied=False, weight_decay=0.0001)

Traceback (most recent call last):
File "1_train_predictor.py", line 322, in
train(args,model,train_dataset,epoch)
File "1_train_predictor.py", line 228, in train
loss1 = criterion(outSeq1.view(args.batch_size,-1), targetSeq.view(args.batch_size,-1))
RuntimeError: invalid argument 2: view size is not compatible with input tensor's size and stride (at least one dimension spans across two contiguous subspaces). Call .contiguous() before .view(). at /Users/soumith/code/builder/wheel/pytorch-src/aten/src/TH/generic/THTensor.cpp:237

[chickenbestlover]

see #2.

[sada-narayanappa]

yeah that fixed it - thanks