Comments (5)
Are you running it using the command in the README? What is your torch and pytorch-lightning version?
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Hi, yes I ran CUDA_VISIBLE_DEVICES=0,5,6,7 python -m train wandb=null experiment=s4-lra-pathx. I am using torch 1.11.0+cu113 and pytorch-lightning 1.6.3.
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Could you try pytorch-lightning==1.5.10? We've had issues with 1.6 and later
from s4.
Hi, I tried using pytorch-lightning 1.5.10 and I still get the same issue.
from s4.
It seems like your data might not be set up correctly. If you look at the line where it is throwing an error, it expects the data to look like data/pathfinder/pathfinder32/curv_contour_length_14/metadata/{0,1,2,...}.npy
. The error you have looks like it might have found files of the form _142.npy
. Can you check your data structure and re-download the data if necessary?
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Related Issues (20)
- Using Neumann series to compute the DFT of basis kernels directly HOT 5
- Several examples doesn't work (Sashimi checkpoints / sampleRNN training) HOT 4
- information mismatch in s4/models/s4/experiments.md
- Paper, Table 1, Convolution number of parameters HOT 2
- About `krylov()` HOT 1
- Missing or misplaced "old" config folder? HOT 4
- "pretrained_model" is not defined before being called in train.py HOT 2
- Question on HMDB51 Dataset (S4ND Video Experiment)
- Unable to generate the weather using generate.py with time Series training checkpoint
- Large difference of inference result between forward and step
- AttributeError: 'SSMKernelDPLR' object has no attribute 'kernel' HOT 1
- Training on 12bits audio instead of 8bit? (Question, what do I need to change?)
- S4 Listops have nan loss HOT 2
- Quantization for S4/ Hippo
- The dynamics of the latent state of the model
- segmentation fault when running python -m train pipeline=mnist model=s4 HOT 1
- how to use the S4Block .step()
- KeyError in train.py self.dataset = SequenceDataset.registry[self.hparams.dataset._name_]
- Why is Sashimi's effect in speech signal enhancement (denoisy) so bad?
- Passing a video to S4ND
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