Registry / ai-ml / onemkl-sycl-rng

onemkl-sycl-rng

library2026.0.0pypypiunverified

Intel® oneAPI Math Kernel Library (oneMKL) Random Number Generators (RNG) component for SYCL. Provides high-performance pseudorandom and quasi-random number generation on Intel GPUs and CPUs. Current version 2026.0.0. Released as part of the Intel oneAPI 2026.0 toolkit. Follows Intel's release cadence (yearly).

ai-ml data

pip install onemkl-sycl-rng

package ↗homepage ↗

INSTALL

IMPORT

SIG · ONEMKL-SYCL-RNG

onemkl-sycl-rng

ai-mlpythonv2026.0.0

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.

rng

✓ import onemkl_sycl_rng

✗ import onemkl._sycl_rng.rng as mkl_rng

Basic usage: create engine, create distribution, generate random numbers into a dpnp array.

import dpctl import dpnp as np from onemkl._sycl_rng import rng as mkl_rng # Create a SYCL queue (e.g., GPU) queue = dpctl.SyclQueue("gpu") # Create an RNG engine and distribution engine = mkl_rng.create_engine(queue, mkl_rng.brng.mrg32k3a) dist = mkl_rng.create_distribution(mkl_rng.distribution.uniform, 0.0, 1.0) # Generate random numbers result = np.empty(1000, dtype=np.float64) mkl_rng.generate(queue, engine, dist, result) print(result[:5])

Debug

Known issues

breakingTop-level import path changed: use onemkl._sycl_rng.rng (not onemkl.sycl_rng.rng). The underscore prefix indicates private module – no stability guaranteed.

fix

Update import to: from onemkl._sycl_rng import rng as mkl_rng

affects: >=2025.0.0

deprecatedThe mkl_random module (from older mkl-random package) is deprecated. Use onemkl-sycl-rng for SYCL-based random number generation.

fix

Replace mkl_random imports with onemkl._sycl_rng.rng and use dpnp arrays.

affects: all

gotchaAll data buffers must be dpnp arrays (or usm_ndarray). NumPy arrays are not supported and will cause runtime errors.

fix

Use dpnp.array(...) or dpctl.tensor.usm_ndarray to allocate memory.

affects: all

gotchaEngine and distribution objects must be re-created for each queue. Attempting to reuse an engine on a different device queue may cause silent failures.

fix

Create engine and distribution per queue.

affects: all

Upgrade

Version history

2026.0.0latest on PyPI · released Apr 24, 2026

Audit

Dependencies

No dependency data recorded yet.

Agent activity

8 hits · last 30 days

node

Resources

packagehttps://pypi.org/project/onemkl-sycl-rng/ ↗

homepagehttps://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html ↗