Nsight PyTorch2XDL
Nsight PyTorch2XDL is a Python library that provides tools for exporting PyTorch models to NVIDIA Nsight Deep Learning Designer XDL format. The library handles the conversion of PyTorch operators to their corresponding XDL operators. It also provides functionality to export the model's weights.
Installing from PyPI
Nsight PyTorch2XDL can be installed directly from the Python Package Index (PyPI).
Basic Installation
For most users, a basic installation is sufficient:
pip install nsight-pytorch2xdl
Installation from source
Install as an editable install:
pip install -e .
If you want to manage all run-time dependencies yourself, also pass the --no-deps flag.
Package Dependencies
The required package dependencies can be installed with
python -m pip install -r requirements.txt
License
All files in this package are subject to the Apache 2.0 license.
Disclaimer
nsight-pytorch2xdl is in a Beta state. Beta products may not be fully functional, may contain errors or design flaws, and may be changed at any time without notice. We appreciate your feedback to improve and iterate on our Beta products.
Release files for nsight-pytorch2xdl 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| nsight_pytorch2xdl-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Release files / nsight_pytorch2xdl-0.0.2-py3-none-any.whl
| Download URL | nsight_pytorch2xdl-0.0.2-py3-none-any.whl |
|---|---|
| Size | 160.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
b3c1ced0ddf197a22534142657c270cc9284624c5f51c8e93afd669862b66ec6
|
|
BLAKE2b-256 checksum How to use checksums |
a7e8b18fd7282b5bdddf71e5cd79635c25973e44b1408a3ea267b6c81efd98d4
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.5
|