# ROCm/MIOpen

[DEPRECATED] Moved to ROCm/rocm-libraries repo

Repository: https://github.com/ROCm/MIOpen
Canonical: https://ross.abutalabs.com/products/miopen
Homepage: https://github.com/ROCm/rocm-libraries
Language: Assembly
License: NOASSERTION
License Family: other
Last push: 2026-08-25T18:04:05+00:00

## Health v2 (maintenance only)
Score: 93/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 82, longevity 100
- inputs: {"age_days": 3354, "days_push": 8, "days_rel": 120, "gap_med": 22, "n_releases_24m": 22}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1193, forks 272 (observed 2026-08-28T04:03:56.596203+00:00)

## What it is
MIOpen is AMD's open-source library providing high-performance GPU kernels for machine learning primitives (convolutions, normalization, activation, etc.) on the ROCm platform, comparable to cuDNN for NVIDIA GPUs. This repository has been retired and development has moved into the ROCm/rocm-libraries super-repo.

## Use cases
- run deep learning primitives on AMD GPUs
- cuDNN equivalent for ROCm
- accelerate convolution and normalization kernels on AMD hardware
- build ML frameworks on top of ROCm
- optimize GPU kernel performance for training and inference

## When to choose
- you need optimized DNN primitives on AMD GPUs with ROCm
- you are building a deep learning framework targeting AMD hardware
- you need HIP-based GPU kernels for convolutions, pooling, or batch norm

## When to avoid
- you use NVIDIA GPUs (use cuDNN instead)
- you need the actively developed version (use ROCm/rocm-libraries)
- you rely on the OpenCL backend, which is deprecated

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, deep-learning, gpu-computing, sdk
- domain: machine-learning, deep-learning, gpu-computing
- platform: cpp, python
- tags: amd, rocm, miopen, gpu-kernels, deprecated, hip, dnn-primitives, convolution, blas, linux, gpu

## Member repositories
- ROCm/MIOpen (main) score 93

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:56.596203+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:22:12.359892+00:00, confidence not recorded.
  - readme: https://github.com/ROCm/MIOpen (fetched 2026-08-28T04:03:56.596203+00:00, sha 7b5923d68bdf)
  - homepage: https://github.com/ROCm/rocm-libraries (fetched 2026-08-29T12:29:17.671065+00:00, sha 5331782c1630)
- Data as of 2026-08-30T08:39:29.467469+00:00.