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### š Describe the bug
linear model cannot calculate grads correctly on device MPS
```python
import torch
class Model(torch.nn.Module):
def __init__(self):
super(Model, selfā¦
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Hello @sidhomj,
I used the unsupervised partof DeepTCR to cluster TCR sequences, but when I allowed the method to determine the optimal threshold parameter with the following command line, I got tā¦
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- allow matplotlib output
- analze trip durations (box-whiskers)
- analyze distribution of alternative costs from .rou.xml
- allow variance threshold criterion for aborting iteration
Migrated from ā¦
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Patrick Smela shared that success criterion drastically changes replication success rate - we should report that very clearly (in both annotator and explorer) so that users can report in a meaningful ā¦
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It seems that there is no calculation of validation loss in the code, and the results of training loss and validation dice score are not averaged for the entire epoch?
Codeļ¼ā
# 5. Begin training
ā¦
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I tried to train PolyR-CNN with the following cmd:
```bash
python train_net.py --num-gpus 1 --config-file configs/polyrcnn.res50.100pro.aicrowd.yaml
```
and I got this exception:
```
ERRORā¦
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[Essential] system size - data size relationship analysis
- why
- question is indeed too hard
- too many/few time points for each trajectory
- only config level limit, better fine-tuning cā¦
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### Summary
There exists other criterions, where additional arguments would need to be passed in. The current `Criterion` class is not actually a generic Criterion class since it explicitly assumesā¦
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Hi @samleoqh
Thank you for your release source code. It helps me a lot.
During training process, I met a problem related to memory.
for ex in range(n_epochs):
N = len(trn_dl)
for bx, data in enumerate(trn_dl):
loss, acc = train_batch(model, data, optimizer, criterion)
log.reā¦