torchbearer
0.5.0

Notes

  • Using DistributedDataParallel with Torchbearer on CPU
    • Setup, Cleanup and Model
    • Sync Methods
    • Worker Function
    • Running
    • Running on machines with GPUs
    • Source Code
  • Using the Metric API
    • Default Keys
    • Metric Decorators
      • Lambda Metrics
      • Metric Output - to_dict
    • Data Flow - The Metric Tree
  • Using the Tensorboard Callback
    • Setup
    • Logging the Model Graph
    • Logging Batch Metrics
    • Logging Epoch Metrics
    • Source Code
  • Logging to Visdom
    • Model Setup
    • Logging Epoch and Batch Metrics
    • Visdom Client Parameters
    • Source Code

Examples

  • Notebooks List
    • General
    • Deep Learning
    • Differentiable Programming

Package Reference

  • torchbearer
    • Trial
      • Batch Loaders
      • Misc
    • State
      • State
      • Key List
    • Utilities
  • torchbearer.callbacks
    • Base Classes
    • Imaging
      • Main Classes
      • Deep Inside Convolutional Networks
    • Model Checkpointers
    • Logging
    • Tensorboard, Visdom and Others
    • Early Stopping
    • Gradient Clipping
    • Learning Rate Schedulers
    • Learning Rate Finders
    • Weight Decay
    • Weight / Bias Initialisation
    • Regularisers
    • Unpack State
    • Decorators
      • Main
      • Utility
  • torchbearer.metrics
    • Base Classes
    • Decorators - The Decorator API
    • Metric Wrappers
    • Metric Aggregators
    • Base Metrics
    • Timer
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