notebook warnings.warn()

[mxochicale]

warnings.warn( /home/mxochicale/miniconda3/envs/medisynVE/lib/python3.11/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True).

[mxochicale]

Fixing dependencies issues

• [x] accelerate

  Cannot initialize model with low cpu memory usage because accelerate was not found in the environment. Defaulting to low_cpu_mem_usage=False. It is strongly recommended to install accelerate for faster and less memory-intense model loading. You can do so with: pip install accelerate

• [x] torch-fidelity

  ModuleNotFoundError: FrechetInceptionDistance metric requires that Torch-fidelity is installed. Either install as pip install torchmetrics[image] or pip install torch-fidelity.