Pipeline training framework for multiple large pytorch models on multiple devices
Project description
pipeMT
Pipeline training framework for multiple large pytorch models on multiple devices
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
pipemt-0.1.0.tar.gz
(10.9 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
pipemt-0.1.0-py3-none-any.whl
(14.0 kB
view details)
File details
Details for the file pipemt-0.1.0.tar.gz.
File metadata
- Download URL: pipemt-0.1.0.tar.gz
- Upload date:
- Size: 10.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.16
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
20d1b38da31d6cbbc1e08f52e7c1eeaa81f15cec08013b581283855d3c71ee21
|
|
| MD5 |
fe70de24cef41306bc14a1e598967822
|
|
| BLAKE2b-256 |
ad03fc49dd61f5ba1b50a68a0e3b76a14dbe284f01708a8ca34fdbb292feb85d
|
File details
Details for the file pipemt-0.1.0-py3-none-any.whl.
File metadata
- Download URL: pipemt-0.1.0-py3-none-any.whl
- Upload date:
- Size: 14.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.16
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
65a5e6142e975fb022b48d930bded834a6e7ad6fd2949cd10194fe4b07f0a555
|
|
| MD5 |
a7629772356d2cbb8191d45327619500
|
|
| BLAKE2b-256 |
a1634960b4c7489fa0d55f70eefd749e7564cf39afdd22a3b52f12004ca88ddc
|