Sehjbir
Sehjbir
I have used Optuna: https://optuna.readthedocs.io/en/stable/index.html to tune my parameters. Ray also has an implementation of optuna. You can tune by making few changes in the train.py file
@k-nayak Sure i can share it. i haven't made any architecture changes as of now. were you able to implement attention-unet ? can you share it with me? About improvement:...
@k-nayak i can email you the code repo i updated. does that work ?
@k-nayak while running the training i'm getting this error: RuntimeError: The size of tensor a (74) must match the size of tensor b (75) at non-singleton dimension 3. I'm using...
@k-nayak while running R-Unet: RuntimeError: Sizes of tensors must match except in dimension 2. Got 48 and 49 (The offending index is 0).
@k-nayak while running U-net it's coming: unet_parts_updated.py", line 137, in forward psi = self.relu(g1+x1) RuntimeError: The size of tensor a (74) must match the size of tensor b (75) at...
@k-nayak any possible solution?
I was able to resolve the issue. The batch size was set to 4 and I was using n_images =5 in cfg file during logging. Training epoch completed. However durring...
use the test function in the solver.py to write the prediction script.