sixzero / zygoteextensions.jl

Some functions to extend Zygote

ZygoteExtensions

Some functions to extend Zygote. It augment gradient operations.

Everything is in one file ZygoteExtensions.jl. Extremly hard to read I know...

ChatGPT

Module Contents

This module extends the capabilities of Zygote, a popular automatic differentiation library in Julia, particularly focusing on machine learning applications. Key components include:

• Vector Normalization: vnorm function for normalizing vectors.
• Non-Zero Averaging: mean_nonzero function to compute mean values, excluding zeros.
• Softmax Overloads: Enhanced softmax functions for different data structures.
• Gradient Timing: grad_timer and @gtime macro for measuring performance of gradient computations.
• Observation Utilities: observe function and its adjoint for monitoring variables during the differentiation process.
• Array Manipulations: Various utility functions like antizero, onehot, get_slice, assign_eles!, lax_scan, and their respective gradient functions.
• Custom Assertions: Integration with ToggleableAsserts for conditional assertion checks.
• Dimension Handling: Enhanced dimension management with Boilerplate utilities.

Usage

Integrate this module into your Julia machine learning projects to leverage advanced gradient operations, performance monitoring, and array manipulation utilities, enhancing both the efficiency and effectiveness of your model training and evaluation processes.