# draugr.torch_utilities

# Torch Utilities

- Dataset utilities

- Distribution

- Model parameter freezing

- Image tensor channels conversions

- Baseline model parameter initialisations

- Optimisation learning rate schedulers

- Model persistence

- Tensor tooling, creation, normalisation, reshaping…

- Model parameter cloning and soft-updates

- Cuda device tooling, automatic selection of target compute device and global handle

Modules

`draugr.torch_utilities.architectures` |
`draugr.torch_utilities.datasets` | Created on 09/10/2019
`draugr.torch_utilities.distributions` | Created on 09/10/2019 # Pytorch Distributions
`draugr.torch_utilities.evaluation` | Created on 02-12-2020 # Evaluation
`draugr.torch_utilities.exporting` |
`draugr.torch_utilities.generators` | Created on 17/03/2020
`draugr.torch_utilities.images` | Created on 09/10/2019
`draugr.torch_utilities.opencv` |
`draugr.torch_utilities.operations` | Created on 23/07/2020
`draugr.torch_utilities.optimisation` | Created on 15/02/2020 # Pytorch Optimisation
`draugr.torch_utilities.persistence` | # Pytorch Persistence
`draugr.torch_utilities.sessions` | Created on 11/05/2020
`draugr.torch_utilities.system` | Created on 21/02/2020 # Pytorch system utilities
`draugr.torch_utilities.tensors` | Created on 21/02/2020 # Pytorch Tensors
`draugr.torch_utilities.writers` | Created on 18/03/2020