Metadata-Version: 2.1
Name: fannypack
Version: 0.0.21
Summary: PyTorch utilities
Home-page: http://github.com/brentyi/fannypack
Author: brentyi
Author-email: brentyi@berkeley.edu
License: MIT
Description: # fannypack
        
        ![build](https://github.com/brentyi/fannypack/workflows/build/badge.svg)
        ![mypy](https://github.com/brentyi/fannypack/workflows/mypy/badge.svg?branch=master)
        ![lint](https://github.com/brentyi/fannypack/workflows/lint/badge.svg)
        [![codecov](https://codecov.io/gh/brentyi/fannypack/branch/master/graph/badge.svg)](https://codecov.io/gh/brentyi/fannypack)
        
        A loose collection of tools for training PyTorch models.
        
        Contents include helpers for:
        
        - Experiment management, Tensorboard logging, and checkpointing (Python + CLI)
        - Reading and manipulating arrays and tensors stored in containers: converting
          between types, moving across (Torch) devices, slicing across shared dimensions
        - Freezing and unfreezing portions of PyTorch modules
        - Reading and writing time series data/trajectory files via hdf5
        - and a lot more!
        
        See [documentation](https://brentyi.github.io/fannypack) for full overview of
        functionality.
        
        ---
        
        ### Installation
        
        Standard installation:
        
        ```
        pip install fannypack
        ```
        
        Install from source:
        
        ```
        git clone https://github.com/brentyi/fannypack.git
        cd fannypack && pip install -e .
        ```
        
        ---
        
        ### Development
        
        Tests can be run with `pytest`, and documentation can be built by running
        `make github` in the `docsource/` directory.
        
        Tooling: [black](https://github.com/psf/black) and
        [isort](https://github.com/timothycrosley/isort) for formatting,
        [flake8](https://flake8.pycqa.org/en/latest/) for linting, and
        [mypy](https://github.com/python/mypy) for static type-checking.
        
        Until `numpy 1.20.0` [is released](https://github.com/numpy/numpy/pull/16515),
        type-checking also requires that NumPy stubs are installed manually:
        
        ```
        pip install https://github.com/numpy/numpy-stubs/tarball/master
        ```
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
