Add profile decorator to simpa utils

- Allows `@profile` decorator to be added to functions
- By default this decorator does nothing
- But if the SIMPA_PROFILE` environment variable is set to:
  - `TIME`: `line_profiler` is used for line-by-line run-time profiling
  - `MEMORY`: `memory_profiler` is used for line-by-line RAM use profiling
  - `GPU_MEMORY`: `pytorch_memlab` is used for line-by-line GPU RAM profiling
- Profiling output is written to the console when the script finishes
- For GPU_MEMORY, a summary of gpu memory use (torch.cuda.memory_summary()) is also written to the console
- Add these profiling dependencies to tool.poetry.group.profile.dependencies