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TensorBoardLogger.jl is a native library for logging arbitrary data to Tensorboard, extending Julia's standard Logging framework. It can also be used to deserialize TensoBoard's .proto files. The fundamental type defined in this package is a TBLogger, which behaves like other standard loggers in Julia such as ConsoleLogger or TextLogger. You can create one by passing it the path to the folder where you want to store the data. You can also pass an optional second argument to specify the behaviour in case there already exists a document at the given path.
Features
- You can set it to be your global logger with the function global_logger
- You can set it to be the current logger in a scope with the function with_logger
- You can combine it with other Loggers using LoggingExtras.jl, so that messages are logged to TensorBoard and to other backends at the same time
- You can log to TensorBoard any type. Numeric types will be logged as scalar
- Arrays will be binned into histograms, images and audio will be logged as such, and we even support Plots, PyPlot and Gadfly figures
- Integration with third party packages
Project Samples
Categories
Data VisualizationLicense
MIT LicenseFollow TensorBoardLogger.jl
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