junsu-cho/proxysr

ProxySR (Unsupervised Proxy Selection for Session-based Recommender Systems, SIGIR'21)

proxysr's Issues

Could you provide code for next item recommendation with repetitive consumption?

Could you provide code for next item recommendation with repetitive consumption?

Software environment

Hi! I failed to run this model due to syntax errors (e.g. line 79 in main.py). Even though I have fixed these errors, the training still broke.

Do you know how to fix this?

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Downloads/ProxySR-main/main.py:213: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
target *= torch.tensor(valid).to(torch.long).to(device)
Traceback (most recent call last):
File "Downloads/ProxySR-main/main.py", line 239, in
main()
File "Downloads/ProxySR-main/main.py", line 88, in main
recalls, mrrs = validate(val_data, model, K, tau)
File "Downloads/ProxySR-main/main.py", line 214, in validate
distance = model(sess, length, tau, valid, train=False)
File "Downloads/ProxySR-main/venv/lib/python3.6/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "Downloads/ProxySR-main/model.py", line 127, in forward
return self.test_phase(batch_size, isValidSession, p_s, s_s_proj[:, -1, :], I_emb, v)
File "Downloads/ProxySR-main/model.py", line 151, in test_phase
if not isValidSession[i]: continue
RuntimeError: CUDA error: an illegal instruction was encountered
CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.

Could you provide code for next item recommendation with repetitive consumption?

Could you provide code for next item recommendation with repetitive consumption?