Skip to main content

PyXIR

PyXIR is an Python Intermediate Representation (IR) for deep learning. It is designed to enable acceleration of deep neural networks from different frameworks, compiler stacks and IR's on hardware accelerators, specifically Xilinx FPGA based accelerators like DPU.

At the moment PyXIR integrates with the TVM Open Deep Learning compiler stack.

Metadata

Release files for pyxir 0.0.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pyxir 0.0.1
File Size Uploaded Provenance Actions
pyxir-0.0.1.tar.gz 1.4 kB Without provenance Details for pyxir-0.0.1.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for pyxir 0.0.1
File Interpreter ABI Platform Actions
pyxir-0.0.1-py3-none-any.whl Python 3 none any Details for pyxir-0.0.1-py3-none-any.whl

Total release size: 3.0 kB

Release files / pyxir-0.0.1.tar.gz

Download URL pyxir-0.0.1.tar.gz
Size 1.4 kB
Tags Source
SHA-256 checksum
How to use checksums
c15d885c5d980c3ef9fc0790159c209a28ef6789a4866504a8766ac880290c3a
BLAKE2b-256 checksum
How to use checksums
b93bdd09ea5af4f542ec36b8f823faa14224bb5363377d85086b045b548e49c0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.0

Release files / pyxir-0.0.1-py3-none-any.whl

Download URL pyxir-0.0.1-py3-none-any.whl
Size 1.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
49062ed0476625d2bd159588790dceb364b908e07d49895bbf56cf33e0e54cb5
BLAKE2b-256 checksum
How to use checksums
1bda1b7a4f4774074dcc6ccd13a96a78122d9ff39398fad21f6c0d3bb4b139e7
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.0

Security for pyxir 0.0.1

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.0.1 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page