Metadata-Version: 2.1
Name: torch-stft
Version: 0.1.2
Summary: An STFT/iSTFT for PyTorch
Home-page: https://github.com/pseeth/torch-stft
Author: Prem Seetharaman
Author-email: prem@u.northwestern.edu
License: UNKNOWN
Description: [![Build Status](https://travis-ci.com/pseeth/pytorch-stft.svg?branch=master)](https://travis-ci.com/pseeth/pytorch-stft)
        
        # STFT/iSTFT in PyTorch
        
        An STFT/iSTFT written up in PyTorch using 1D Convolutions. Requirements are a recent version PyTorch, numpy, and librosa (for loading audio in test_stft.py). Thanks to Shrikant Venkataramani for sharing code this was based off of and Rafael Valle for catching bugs and adding the proper windowing logic. Uses Python 3.
        
        ## Installation
        Install easily with pip:
        ```
        pip install torch_stft
        ```
        
        ## Tests
        Test it by just cloning this repo and running
            
        ```
        pip install -r requirements.txt
        python -m pytest .
        ```
        
        Unfortunately, since it's implemented with 1D Convolutions, some filter_length/hop_length 
        combinations can result in out of memory errors on your GPU when run on sufficiently large input.
        
        
        ## Contributing
        Pull requests welcome.
        
        
Platform: UNKNOWN
Classifier: Environment :: Plugins
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Programming Language :: C++
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Multimedia :: Sound/Audio
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Description-Content-Type: text/markdown
