A tool for accelerating embedded workflows with AI/ML generated kernels
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
Project description
etch
Python based CLI for accelerating embedded processing using an AI/ML tool flow.
Installation
OS Support
While generic OS is envisioned and provisioned for, current testing is only being performed on Ubuntu 24.04 with python 3.12.
Prerequistes
Apt / system library installs
- build-essential
- LLVM-20 via apt / or otherwise
- python3.12, python3.12-venv
Etch Installation.
This will install boolsi-etch as etch in the virtual env.
- Create a venv
- pip install boolsi-etch
- etch install
- etch --version
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 boolsi_etch-0.2.0.tar.gz.
File metadata
- Download URL: boolsi_etch-0.2.0.tar.gz
- Upload date:
- Size: 10.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fdf8e69dc8cc7a30cc11e657e9447022b9666802fc1fe4582098d6be0c25d8eb
|
|
| MD5 |
24bba408e55dfac126453d4e6c905ba5
|
|
| BLAKE2b-256 |
6ab94892ea689beab6d23dc19f985e051b9252ddf9085b54f2060de9d9b7aecb
|
Provenance
The following attestation bundles were made for boolsi_etch-0.2.0.tar.gz:
Publisher:
publish.yml on tomkarolyshyn/boolsi-etch
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
boolsi_etch-0.2.0.tar.gz -
Subject digest:
fdf8e69dc8cc7a30cc11e657e9447022b9666802fc1fe4582098d6be0c25d8eb - Sigstore transparency entry: 349242294
- Sigstore integration time:
-
Permalink:
tomkarolyshyn/boolsi-etch@582ad825bc7689f09cc02b3ea6bdf8e9d5d7d152 -
Branch / Tag:
refs/tags/v0.2.0 - Owner: https://github.com/tomkarolyshyn
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yml@582ad825bc7689f09cc02b3ea6bdf8e9d5d7d152 -
Trigger Event:
push
-
Statement type:
File details
Details for the file boolsi_etch-0.2.0-py3-none-any.whl.
File metadata
- Download URL: boolsi_etch-0.2.0-py3-none-any.whl
- Upload date:
- Size: 10.7 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 |
0e803fda754e957b6b16d806c015d30f8c8acb32c153e8143aa899c09a88eb16
|
|
| MD5 |
6f027f9812d2536fa1c024057a169e95
|
|
| BLAKE2b-256 |
5708c9bcf19ebe92c74a91961e4355d0cee88bec63ba5eae7c2ca2cdf5e7f7d8
|
Provenance
The following attestation bundles were made for boolsi_etch-0.2.0-py3-none-any.whl:
Publisher:
publish.yml on tomkarolyshyn/boolsi-etch
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
boolsi_etch-0.2.0-py3-none-any.whl -
Subject digest:
0e803fda754e957b6b16d806c015d30f8c8acb32c153e8143aa899c09a88eb16 - Sigstore transparency entry: 349242315
- Sigstore integration time:
-
Permalink:
tomkarolyshyn/boolsi-etch@582ad825bc7689f09cc02b3ea6bdf8e9d5d7d152 -
Branch / Tag:
refs/tags/v0.2.0 - Owner: https://github.com/tomkarolyshyn
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yml@582ad825bc7689f09cc02b3ea6bdf8e9d5d7d152 -
Trigger Event:
push
-
Statement type:
