Version 3.3.6

Changes:

• AUGMENTOR.RANDOM_ROT and AUGMENTOR.ROT90 now are implemented in BiaPy and not done through imgaug.
• Add TRAIN.VERBOSE to visualize more or less info during each batch process print

Fixes:

• Fix 4 dims length Zarr data creation during TEST.BY_CHUNKS.
• Change slightly custom architectures (MODEL.SOURCE == biapy) so they can be converted into TorchScript via torch.jit.script() to create BMZ package.
• Fix U-Net like models for SR to depend on PROBLEM.SUPER_RESOLUTION.UPSCALING factor and allow MODEL.Z_DOWN in super-resolution workflow
• Limit number of workers per GPU for safety
• Fix crappify issues for SSL