cutensor-cu13

library2.6.0pypypi✓ verified 81d ago

Python bindings for NVIDIA cuTENSOR, a GPU-accelerated tensor computation library optimized for deep learning and HPC. Version 2.6.0 supports CUDA 13.x. Release cadence follows cuTENSOR releases (major.minor.patch).

ai-ml

pip install cutensor-cu13

package ↗homepage ↗

INSTALL

IMPORT

SIG · CUTENSOR-CU13

cutensor-cu13

ai-mlpythonv2.6.0

harness data pending

Install & Compatibility

Where this runs

No compatibility data collected yet for this library.

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

tensor

✓ import cutensor

✗ from cutensor import tensor

Basic tensor creation and matrix multiplication on GPU.

import numpy as np from cutensor import tensor # Create two tensors on GPU (requires CUDA context) a = tensor(np.random.rand(3,4), device='cuda') b = tensor(np.random.rand(4,5), device='cuda') # Perform matrix multiplication c = a @ b print(c)

Debug

Known issues

breakingThe Python API changed in cuTENSOR 2.0+; the old 'cutensor.init' pattern was removed.

fix

Use 'from cutensor import tensor' directly; no explicit init call needed.

affects: <2.0.0

gotchaInput tensors must be contiguous in memory; non-contiguous arrays may cause silent wrong results or crashes.

fix

Call np.ascontiguousarray() on NumPy arrays before converting to cutensor tensors.

affects: All

deprecatedUsing 'cutensor.TensorHandle' is deprecated in favor of 'cutensor.tensor'.

fix

Replace 'TensorHandle' with 'tensor' class.

affects: >=2.0.0

Upgrade

Version history

2.6.0latest on PyPI · released Mar 17, 2026

Audit

Dependencies

nvidia-cuda-runtime-cu13requiredRequired CUDA runtime libraries for GPU operations.

nvidia-cublas-cu13requiredRequired for BLAS operations used internally by cuTENSOR.

Agent activity

15 hits · last 30 days

node

OpenAI (training)

Resources

packagehttps://pypi.org/project/cutensor-cu13/ ↗

homepagehttps://developer.nvidia.com/cutensor ↗