chickenbestlover / RNN-Time-series-Anomaly-Detection

RNN based Time-series Anomaly detector model implemented in Pytorch.
Apache License 2.0
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Isseu running - does not work on Mac #12

Closed sada-narayanappa closed 5 years ago

sada-narayanappa commented 5 years ago

When I run I get the following error - could you help me how to fixe this It uses default ecg and

python3 1_train_predictor.py --device cpu --data ecg --filename chfdb_chf13_45590.pkl => 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 320, 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 commented 5 years ago

See #2.

sada-narayanappa commented 5 years ago

Yeah that works.

There is one more after that, we need "contiguous()" call - having done that it works. It would be great to update the code with those changes.