PFN IO library
Project description
PFIO
PFIO is an IO abstraction library developed by PFN, optimized for deep learning training with batteries included. It supports
- Filesystem API abstraction with unified error semantics,
- Explicit user-land caching system,
- IO performance tracing and metrics stats, and
- Fileset container utilities to save metadata.
Dependency
- HDFS client and libhdfs for HDFS access
- CPython >= 3.6
Installation and Document build
Installation
$ git clone https://github.com/pfnet/pfio.git
$ cd pfio
$ pip install .
Documentation
$ cd pfio/docs
$ make html
$ open build/html/index.html
Test
$ cd pfio
$ pip install .[test]
$ pytest tests/
How to use
Please refer to the official document for more information about the usage.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pfio-1.2.2.tar.gz
(33.2 kB
view details)
Built Distribution
pfio-1.2.2-py3-none-any.whl
(44.8 kB
view details)
File details
Details for the file pfio-1.2.2.tar.gz
.
File metadata
- Download URL: pfio-1.2.2.tar.gz
- Upload date:
- Size: 33.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.57.0 CPython/3.9.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 28bf23c3dd133c39fe244e1f8478e00dc4036ec0e42eba9680671f8961cd0b52 |
|
MD5 | 1cc7ba056b691167adb06f566b5bdfc0 |
|
BLAKE2b-256 | bc85626e395ede2df5d6ed2ef5565931d59a1e39f33369c1e90ec407228fc1a8 |
Provenance
File details
Details for the file pfio-1.2.2-py3-none-any.whl
.
File metadata
- Download URL: pfio-1.2.2-py3-none-any.whl
- Upload date:
- Size: 44.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.57.0 CPython/3.9.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a9af3bbabd94379fa714419461695d75edc84fc824d28f9fd0bf56fb79aa2096 |
|
MD5 | 8ce4f124b2dc7775698ff8cf765b3aac |
|
BLAKE2b-256 | 6f40de47e2f0e7456a0836ea653a68798b736959c344c8f076a648a594632490 |