cuTensorNet: A High-Performance Library for Tensor Network Computations
NVIDIA cuTensorNet is a high-performance library for tensor network computations. cuTensorNet is a component of the NVIDIA cuQuantum SDK.
In addition to C APIs, cuTensorNet can also be accessed in Python via cuQuantum Python.
Documentation
Please refer to https://docs.nvidia.com/cuda/cuquantum/latest/cutensornet/index.html for the cuTensorNet documentation.
Installation
The cuTensorNet wheel can be installed as follows:
pip install cutensornet-cuXXwhere XX is the CUDA major version (currently CUDA 11 & 12 are supported).
Citing cuQuantum
5 maintainers
Metadata
5 maintainers
Release files for cutensornet-cu11 2.8.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cutensornet_cu11-2.8.0-py3-none-manylinux2014_x86_64.whl | Python 3 | none | Linux glibc 2.17+ x86-64 | Details |
| cutensornet_cu11-2.8.0-py3-none-manylinux2014_aarch64.whl | Python 3 | none | Linux glibc 2.17+ ARM64 | Details |
Total release size: 5.0 MB
Release files / cutensornet_cu11-2.8.0-py3-none-manylinux2014_x86_64.whl
| Download URL | cutensornet_cu11-2.8.0-py3-none-manylinux2014_x86_64.whl |
|---|---|
| Size | 2.6 MB |
| Tags | Linux glibc 2.17+ x86-64 Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.5
|
Release files / cutensornet_cu11-2.8.0-py3-none-manylinux2014_aarch64.whl
| Download URL | cutensornet_cu11-2.8.0-py3-none-manylinux2014_aarch64.whl |
|---|---|
| Size | 2.5 MB |
| Tags | Linux glibc 2.17+ ARM64 Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.5
|
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