dtw_loss_functions package
dtw_loss_functions
A package for computing DTW-based loss functions for PyTorch models.
Modules
- block_dtw
Block-wise variant of the Soft DTW loss.
- otw
Optimal Transport Warping loss.
- soft_dtw
Soft Dynamic Time Warping loss. This module is a wrapper for the various implementations of the SoftDTW available online, which are collected in the
soft_dtw_implementationssubpackage.
Subpackages
- soft_dtw_implementations
Collection of various implementations of the SoftDTW loss available online.
Subpackages
- SoftDTW Subpackage
- Authors
- SoftDTW (Mehran Maghoumi)
- pysdtw normalized
- SoftDTW (Ron Shapira Weber)
SoftDTWsoftdtw()softdtw_barycenter()softdtw_barycenter_cpu()- Subpackages
- Submodules
- dtw_loss_functions.soft_dtw_implementations.soft_dtw_cuda_ron.autograd module
- dtw_loss_functions.soft_dtw_implementations.soft_dtw_cuda_ron.autograd_xy module
- dtw_loss_functions.soft_dtw_implementations.soft_dtw_cuda_ron.barycenters module
- dtw_loss_functions.soft_dtw_implementations.soft_dtw_cuda_ron.distances module
- dtw_loss_functions.soft_dtw_implementations.soft_dtw_cuda_ron.functional module
- dtw_loss_functions.soft_dtw_implementations.soft_dtw_cuda_ron.module module