Expand description
Gradient processing utilities for machine learning optimization
This module provides comprehensive gradient manipulation utilities including various clipping strategies, normalization, and other processing techniques.
Structs§
- Gradient
Accumulator - Gradient accumulation utility
- Gradient
Clip Config - Gradient clipping configuration
- Gradient
Mask - Gradient masking and freezing utilities
- Gradient
Processor - Gradient clipping processor
Functions§
- adaptive_
gradient_ clipping - Adaptive gradient clipping
- add_
gradient_ noise - Add noise to gradients for regularization
- clip_
gradient_ l1_ norm - Clip gradient L1 norm
- clip_
gradient_ norm - Clip gradient L2 norm (global gradient clipping)
- clip_
gradients_ by_ value - Clip gradient values to a specified range
- gradient_
centralization - Compute gradient centralization
- zero_
small_ gradients - Zero out small gradient values