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Traceback (most recent call last):
File "main.py", line 123, in<module>main()
File "main.py", line 17, in main
run_experiments()
File "main.py", line 93, in run_experiments
detectors = [RecurrentEBM(num_epochs=15), LSTMAD(), Donut(), LSTM_Enc_Dec(num_epochs=15),
File "/repo/src/algorithms/lstm_ad.py", line 53, in __init__
torch.manual_seed(0)
File "/usr/local/lib/python3.6/dist-packages/torch/random.py", line 33, in manual_seed
torch.cuda.manual_seed_all(seed)
File "/usr/local/lib/python3.6/dist-packages/torch/cuda/random.py", line 86, in manual_seed_all
_lazy_call(lambda: _C._cuda_manualSeedAll(seed))
File "/usr/local/lib/python3.6/dist-packages/torch/cuda/__init__.py", line 121, in _lazy_call
callable()
File "/usr/local/lib/python3.6/dist-packages/torch/cuda/random.py", line 86, in<lambda>
_lazy_call(lambda: _C._cuda_manualSeedAll(seed))
RuntimeError: Creating MTGP constants failed. at /pytorch/aten/src/THC/THCTensorRandom.cu:34
The text was updated successfully, but these errors were encountered:
WGierke
changed the title
RuntimeError: Creating MTGP constants failed. at /pytorch/aten/src/THC/THCTensorRandom.cu:34
LSTMAD: RuntimeError: Creating MTGP constants failed. at /pytorch/aten/src/THC/THCTensorRandom.cu:34
Jun 21, 2018
* adds second training set to train params of gaussian dist via spliting
* adds cuda support for all algorithms
* Run LSTMAD, Donut and DAGMM with NNAutoencoder on CUDA (#105)
* Ignore device placement on ReEBM as well
* Adapt LSTMED
* Sort detector execution by framework
* Closes#89#91#92#93#94#95#96
The text was updated successfully, but these errors were encountered: