A Python library for FP-Quant
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
Project description
fp_quant
A library that wraps qutlass kernels with linear layer wrappers for integrations into training and inference engines.
Installation
pip install .
Usage
from fp_quant import replace_with_fp_quant_linear, FPQuantConfig
# Replace nn.Linear layers with fp_quant.FPQuantLinear
replace_with_fp_quant_linear(
model,
fp_quant_linear_config=FPQuantConfig(),
)
Project details
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
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
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
File details
Details for the file fp_quant-0.1.1.tar.gz.
File metadata
- Download URL: fp_quant-0.1.1.tar.gz
- Upload date:
- Size: 6.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
bf7b4ac924ecf89e8c75addc4d7886b955746deefa3a0b8990c4596fb71d8f00
|
|
| MD5 |
6d648c6f195c56b5919692076b676e7b
|
|
| BLAKE2b-256 |
04b2e77e34fbea059cad4c90482a3adae15fd1b8c5c975903b30feb1b3787081
|
Provenance
The following attestation bundles were made for fp_quant-0.1.1.tar.gz:
Publisher:
python-publish.yml on IST-DASLab/FP-Quant
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
fp_quant-0.1.1.tar.gz -
Subject digest:
bf7b4ac924ecf89e8c75addc4d7886b955746deefa3a0b8990c4596fb71d8f00 - Sigstore transparency entry: 273460862
- Sigstore integration time:
-
Permalink:
IST-DASLab/FP-Quant@bccb8da6f7b8e061749c6915d2a18318bf4eb465 -
Branch / Tag:
refs/tags/v0.1.1 - Owner: https://github.com/IST-DASLab
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
python-publish.yml@bccb8da6f7b8e061749c6915d2a18318bf4eb465 -
Trigger Event:
push
-
Statement type:
File details
Details for the file fp_quant-0.1.1-py3-none-any.whl.
File metadata
- Download URL: fp_quant-0.1.1-py3-none-any.whl
- Upload date:
- Size: 7.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9ec3f72389843d309e2c4fcc4e7a2fb2c41afae5f16220493cd9631b4811fd85
|
|
| MD5 |
3ac6473fe4fe1d5d2ff2dc5e6c67d004
|
|
| BLAKE2b-256 |
10e8cc81ce01de33628ffcf93f23948bccd7edb35c2d536b053d79a110a424a2
|
Provenance
The following attestation bundles were made for fp_quant-0.1.1-py3-none-any.whl:
Publisher:
python-publish.yml on IST-DASLab/FP-Quant
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
fp_quant-0.1.1-py3-none-any.whl -
Subject digest:
9ec3f72389843d309e2c4fcc4e7a2fb2c41afae5f16220493cd9631b4811fd85 - Sigstore transparency entry: 273460863
- Sigstore integration time:
-
Permalink:
IST-DASLab/FP-Quant@bccb8da6f7b8e061749c6915d2a18318bf4eb465 -
Branch / Tag:
refs/tags/v0.1.1 - Owner: https://github.com/IST-DASLab
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
python-publish.yml@bccb8da6f7b8e061749c6915d2a18318bf4eb465 -
Trigger Event:
push
-
Statement type:
