torchonn-pyutils 0.0.3.3

A collection of utility functions and modules for PyTorch and general Python usage.

pyutils

A python/pytorch utility library

News

• v0.0.3.2 available.
• v0.0.2 available. Added new datasets and quantization!
• v0.0.1 available. Feedbacks are highly welcomed!

Installation

conda install scopex/label/ScopeX::torchonn-pyutils

pip install torchonn-pyutils --no-build-isolation

or install from cloned codes from github if you would like to modify the code (recommend)

git clone https://github.com/JeremieMelo/pyutility.git
cd pyutility
./setup.sh

To remove the package:

pip uninstall torchonn_pyutils

Usage

import pyutils

Features

• Support pytorch training utility and datasets.

TODOs

• Support lr_scheduler
• Support trainer

Dependencies

• Python >= 3.10
• PyTorch >= 2.0
• Tensorflow >= 2.5.0
• Others are listed in requirements.txt

Files

File	Description
datasets/	Defines different datasets and builder
loss/	Defines different loss functions/criterions
optimizer/	Defines different optimizers
lr_scheduler/	Defines different learning rate schedulers
quant/	Defines different weight/activation quantizers
activation.py	Activation functions
compute.py	functions related to computing
config.py	Hierarchical yaml configuration file parser
distribution_sampler.py	Sample from customized distributions
general.py	Common helper functions
initializer.py	Initialization methods for PyTorch Parameters
loss.py	Loss functions for PyTorch model training
quantize.py	Quantization functions
torch_train.py	Helper functions for torch training
typing.py	Defines common types

Contact

Jiaqi Gu ([e-mail])