dpnp-linalg-fft SKILL.md skillA

dpnp-linalg-fft from intel/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add intel/skills/dpnp-linalg-fft@v1.0

Pins v1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
intel/skills
Path
skills/dpnp-linalg-fft/SKILL.md
Versions recorded
1
Latest version
v1.0, committed Sep 3, 2026
Size
6,718 bytes
Repository stars
29
License
Apache-2.0

Linear algebra and FFT with dpnp on Intel CPUs and GPUs, backed by oneMKL. Use when a matrix multiply, solve, decomposition, eigenvalue problem, or Fourier transform is the hot part of NumPy code, when the user asks whether dpnp covers a linalg or FFT call, when an FFT result differs slightly from NumPy's, or when a large transform runs out of device memory. Covers the supported surface, transform sizing and plan reuse, fallbacks for what is missing, and how to check conditioning before solving.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# dpnp linear algebra and FFT

## Purpose

Routes linear algebra and Fourier transforms through `dpnp`, which dispatches
them to oneMKL on Intel CPUs and GPUs. Covers what the API includes, how to size
and warm a transform, what is not implemented and how to fall back to SciPy for
it, and which numerical differences from NumPy are expected rather than bugs.

Prefer this skill when matrix or transform work is the expensive part of a NumPy
program. Prefer plain NumPy for small operands, where the dispatch cost is not
amortized, and SciPy for sparse problems, which have no `dpnp` equivalent.

## When to Use This Skill

Use this skill when:

- A matmul, `solve`, decomposition, or eigenvalue problem is the hot path.
- An FFT or a convolution through FFT is the hot path.
- The user needs to know whether `dpnp` implements a specific linalg or FFT call.
- An FFT or a decomposition disagrees with NumPy in the last digits.
- A large transform fails on device memory.

Do **not** use this skill for sparse linear algebra (`scipy.sparse`, on host
arrays), for small operands, or as a source of speedup figures — there are none
here on purpose.

## Quick Start

```python
import dpnp as np
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add intel/skills/dpnp-linalg-fft@sha256:3f9e68b591f23a85

The line at the top of this page pins the label v1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_tqo4dhczbtkv56ws.svg)](https://markdownregistry.com/a/art_tqo4dhczbtkv56ws)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Sep 3, 2026.

versioncommittedcommitsizeaudit
v1.0 latest2026-09-03 b1ad034 6,718 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (6718 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

intel/skills · 29 stars · license Apache-2.0 · pushed 2026-11-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_tqo4dhczbtkv56ws
GET https://markdownregistry.com/api/v1/resolve?ref=intel/skills/dpnp-linalg-fft
GET https://markdownregistry.com/api/v1/blob/3f9e68b591f23a85c90912afc1e58405c43f2b46fec96fbe5cac00fecf1e3376

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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