# dmlc/nnvm

Repository: https://github.com/dmlc/nnvm
Canonical: https://ross.abutalabs.com/products/nnvm
Language: C++
License: Apache-2.0
License Family: permissive
Topics: computation-graph, deep-learning, optimization, deployment, nnvm, tvm, cuda, opencl, rocm, metal
Archived: true
Last push: 2018-09-11T04:08:49+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3723, "days_push": 2913, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1649, forks 274 (observed 2026-08-28T04:05:16.767314+00:00)

## What it is
NNVM was a computation-graph intermediate representation and compiler front-end for deep learning frameworks, serving as the graph-level optimization and deployment layer of the TVM stack. Development has ended and all source code now lives in the TVM repository (apache/tvm).

## Use cases
- compile deep learning models to GPU backends like CUDA, OpenCL, ROCm, and Metal
- optimize computation graphs before hardware-specific code generation
- deploy trained neural network models to diverse hardware targets
- convert models from frameworks like MXNet into a portable graph IR

## When to choose
- you are maintaining legacy code that already depends on the NNVM graph IR
- you need to study the historical design of TVM's graph compiler

## When to avoid
- starting any new project - use TVM (Relay/Relax) instead
- you need current model support, maintenance, or bug fixes
- you want an actively developed deep learning compiler

## Facets
- artifact type: library
- maturity: abandoned
- function: compiler, machine-learning, deep-learning, llm-inference
- domain: deep-learning, compilers, machine-learning
- platform: windows, cpp, python
- tags: computation-graph, tvm, compiler-stack, model-deployment, gpu, opencl, rocm, metal, merged-into-tvm, linux, macos, cuda

## Member repositories
- dmlc/nnvm (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:16.767314+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 2026-08-30T03:45:08.469222+00:00, confidence not recorded.
  - readme: https://github.com/dmlc/nnvm (fetched 2026-08-28T04:05:16.767314+00:00, sha 8c07c20b3db6)
- Data as of 2026-08-30T08:39:29.467469+00:00.