Comments (4)
Ah, right. So one function I need to implement is to designate a local path to which the data is copied before training. Haven't gotten around to it, but I can add it to the todos
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Wait, where is milatmp1 defaulting?
from cortex.
In the readme:
torchvision_data_path: /data/milatmp1/hjelmdev/data/
from cortex.
If you have a quick implementation, then good. Otherwise, we are planning to have the local computer cache the networks file system. All new computer we plan to buy will have the hardware for this. Currently, there is a flag to our slurm config to go on computer configured like this.
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Related Issues (20)
- toy datasets
- Set up pytest
- Argparsing needs to be tested thoroughly
- Testing of model builds
- Reloading with old arguments HOT 1
- Visdom - Append point to graph instead of recreating it for every new datapoints.
- Add CUB dataset
- Data handler shouldn't reference specific input names HOT 1
- Cortex crashes with MNIST HOT 2
- Different between MINE measures?
- Include `seed` to argument parser HOT 3
- LossHandler does not handle two different sets on the same network key HOT 4
- Use `.item()` to collect results and losses-as-results only at an epoch's end HOT 3
- Mutual Information Neural Estimation HOT 3
- A version problem about DIM and this HOT 2
- Setup fails HOT 6
- KeyError: "Error with dimension query inputs. Available: {'data': {'images': torch.Size([3, 32, 32]), 'targets': 10, 'N_train': 50000, 'N_test': 10000}, 'Z': 64, 'E': 1}"
- inconsistent parameters?
- Cortex installation fails with python 3.6 but successful with 3.5 HOT 2
- TypeError: load() missing 1 required positional argument: 'Loader'
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