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* in progress. camera_indices broken * faster dataloader. starting on pixel sampler logic * imagesampler and pixelsampler * lint and black * continuing merge * pytest working * fixed docs * docs * minor changes |
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| .. | ||
| __init__.py | ||
| callbacks.py | ||
| comms.py | ||
| decorators.py | ||
| io.py | ||
| math.py | ||
| misc.py | ||
| profiler.py | ||
| README.md | ||
| visualization.py | ||
| writer.py | ||
Logging and profiling features
We provide many logging functionalities for timing and/or tracking losses during training. All of these loggers are configurable via configs/logging.yml
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Writer: Logs losses and generated images during training to a specified output stream. Specify the type of writer (Tensorboard, Local Writer, Weights and Biases), and how often to log in the config.
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Profiler: Computes the average total time of execution for any function with the
@profiler.time_functiondecorator. Prints out the full profile at the termination of training or the program.