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 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 and isort for formatting, flake8 for linting, and mypy for static type-checking.
Until numpy 1.20.0 is released,
type-checking also requires that NumPy stubs are installed manually:
pip install https://github.com/numpy/numpy-stubs/tarball/master
1 maintainer
Metadata
1 maintainer
Release files for fannypack 0.0.25
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| fannypack-0.0.25.tar.gz | 42.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fannypack-0.0.25-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 98.3 kB
Release files / fannypack-0.0.25.tar.gz
| Download URL | fannypack-0.0.25.tar.gz |
|---|---|
| Size | 42.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / fannypack-0.0.25-py3-none-any.whl
| Download URL | fannypack-0.0.25-py3-none-any.whl |
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| Size | 55.9 kB |
| Tags | Python 3 |
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twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0
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