all-in-one-mlx
GPU-accelerated music structure analysis on Apple Silicon (MLX).
all-in-one-mlx is an Apple Silicon–optimized port of the original All‑In‑One Music Structure Analyzer (upstream: mir-aidj/all-in-one). It runs end‑to‑end inference locally using Apple MLX, with an integrated pipeline designed for real songs (including demixing + fast spectrograms).
Given one or more audio tracks, it produces:
- Tempo (BPM)
- Beat times
- Downbeat times
- Section boundaries
- Section labels (intro / verse / chorus / bridge / outro, etc.)
Why this repo exists
The upstream project is a strong reference implementation, but macOS Apple Silicon users historically lacked a first‑class GPU‑accelerated inference path. This repository provides that acceleration via MLX, with an emphasis on:
- High performance on M‑series GPUs
- Practical CLI defaults for song inference (demix → spectrogram → model → outputs)
- Faithful behavior to the upstream model + method
I’m releasing all-in-one-mlx alongside all-in-one-mps (PyTorch/MPS acceleration) so Apple Silicon users can choose the stack that fits their environment.
Performance
Benchmark on a single file — Apple M4 Max, 128 GB RAM, macOS 26.3:
| Project | Time | vs upstream |
|---|---|---|
mir-aidj/all-in-one |
75.25s | baseline |
mir-aidj/all-in-one |
24.63s | ~3.1x faster (patched to use MPS) |
all-in-one-mps |
13.43s | ~5.6x faster |
all-in-one-mlx (this repo) |
5.96s | ~12.6x faster |
One run, one file — results will vary by hardware and content.
Related projects & attribution
| Project | Purpose |
|---|---|
mir-aidj/all-in-one |
Original reference implementation and training code |
all-in-one-mlx |
This repo: MLX inference + packaging for Apple Silicon |
all-in-one-mps |
Companion repo: PyTorch/MPS inference for Apple Silicon |
This repository began as a fork/port of the upstream project. The original method/model is described in:
- Taejun Kim & Juhan Nam, All‑In‑One Metrical and Functional Structure Analysis with Neighborhood Attentions on Demixed Audio (arXiv:2307.16425)
If you use this in academic work, please cite the paper and the upstream repository.
Requirements
| Component | Requirement |
|---|---|
| Hardware | Apple Silicon (M-series) |
| OS | macOS 14+ (required by MLX wheels) |
| Python | 3.10+ |
Need CUDA / Linux / Windows? Use the upstream project.
Installation
pip
pip install all-in-one-mlx
uv (recommended)
uv pip install all-in-one-mlx
Quickstart
Analyze one or more tracks:
allin1-mlx path/to/song.wav
# or multiple:
allin1-mlx path/to/a.wav path/to/b.wav
By default, results are written under:
./struct(set with--out-dir)
Common options
- Choose output directory:
allin1-mlx song.wav --out-dir ./struct
- Save visualizations / sonifications:
allin1-mlx song.wav --visualize --viz-dir ./viz
allin1-mlx song.wav --sonify --sonif-dir ./sonif
- Keep intermediate byproducts (demixed audio + spectrograms):
allin1-mlx song.wav --keep-byproducts
# demix files: ./demix (override with --demix-dir)
# specs: ./spec (override with --spec-dir)
- Fast spectrogram backend (default) vs reference backend:
allin1-mlx song.wav --spec-backend mlx_fast # default
allin1-mlx song.wav --spec-backend mlx # reference path
- Parity guard for
mlx_fast(enabled by default):
allin1-mlx song.wav --spec-fast-guard
allin1-mlx song.wav --no-spec-fast-guard
allin1-mlx song.wav --spec-fast-guard-max-abs 1e-3 --spec-fast-guard-mean-abs 1e-4
When --spec-backend mlx_fast is used, the guard runs a one-time comparison against mlx.
If the diff exceeds thresholds, the run automatically falls back to mlx for the remaining tracks.
- One-time spectrogram correctness check (reports max/mean diff):
allin1-mlx song.wav --spec-check
- Overwrite specific stages (demix,spec,json,viz,sonify) or everything:
allin1-mlx song.wav --overwrite all
allin1-mlx song.wav --overwrite demix,spec,json
- Timing / performance instrumentation:
allin1-mlx song.wav --timings-path timings.jsonl
allin1-mlx song.wav --timings-path timings.jsonl --timings-viz-path timings.png
MLX inference controls
- Select model (pretrained name):
allin1-mlx song.wav --model harmonix-all
- Batch size:
allin1-mlx song.wav --mlx-batch-size 1
mx.compilefor model forward (enabled by default):
allin1-mlx song.wav --no-mlx-compile
- In-memory pipeline for demix + spectrograms (enabled by default):
allin1-mlx song.wav --no-mlx-in-memory
- Ensemble inference parallelism (enabled by default):
allin1-mlx song.wav --no-ensemble-parallel
- Disable multiprocessing (debug / determinism / constrained envs):
allin1-mlx song.wav --no-multiprocess
Outputs
The CLI writes analysis artifacts under --out-dir (default ./struct). Exact filenames may vary by model/pipeline version, but outputs include tempo, beats, downbeats, and segment boundaries/labels in machine-readable form.
Optional outputs:
| Artifact | Enable with |
|---|---|
| Visualizations | --visualize and --viz-dir |
| Sonifications | --sonify and --sonif-dir |
| Frame-level activations | --activ and optionally --array-dir |
| Frame-level embeddings | --embed and optionally --array-dir |
| JSONL timings | --timings-path |
Activation and embedding arrays are saved beside the JSON results by default.
Use --array-dir to keep these much larger files in a separate directory:
allin1-mlx song.wav --activ --embed \
--out-dir ./struct --array-dir ./arrays
Demix reproducibility
Demucs applies a random time shift before separation by default. Supply a seed to reproduce that shift selection across runs:
allin1-mlx song.wav --demix-seed 1234
The seed only applies when Demucs actually runs. External stems and reusable
cached stems bypass it; use --overwrite demix,spec,json when replacing a
disk-backed cached analysis with a seeded run. Seeding Demucs does not guarantee
bitwise-stable end-to-end results because later MLX inference can still vary.
Model weights
| Item | Behavior |
|---|---|
| Source | The optional mlx-weights integration is preferred when installed; otherwise verified checkpoints are downloaded on demand |
| Packaging | Release wheels/sdists do not bundle model weights |
| Standalone cache | ~/.cache/all-in-one-mlx/weights |
| Custom paths | Use --mlx-weights-dir or explicit --mlx-weights-path and --mlx-config-path |
Standalone downloads are pinned to an immutable source revision and checked against the published SHA-256 digest before use. Cached files are rechecked, and a damaged entry is discarded and downloaded again. Install mlx-weights separately if you want to use its shared conversion cache instead.
Known limitations
- Artifact naming uses input basename/stem for intermediate and output files.
- If multiple inputs share the same basename (for example
a/song.mp3andb/song.wav), artifacts may overwrite each other or be reused unexpectedly. - Workaround: process those files separately or rename files so basenames are unique.
Beat parity workflow
Use the reproducible parity harness to compare upstream CPU, all-in-one-mps, and all-in-one-mlx:
python scripts/compare_beat_parity.py \
"/path/to/song.wav" \
--upstream-python /path/to/all-in-one/.venv/bin/python \
--mps-python /path/to/all-in-one-mps/.venv/bin/python \
--mlx-python /path/to/all-in-one-mlx/.venv/bin/python \
--mlx-weights-dir ~/.cache/all-in-one-mlx/weights \
--output /tmp/allin1_beat_parity.json
The report includes beat/downbeat counts and timing delta summaries (median/mean signed, p90/max abs).
License
This project retains the upstream license (MIT). See LICENSE.
Issues
Please include:
| Include | Example |
|---|---|
| macOS version + Apple Silicon model | macOS 26.3, M4 Max |
| Python + MLX versions | Python 3.12.7, mlx x.y |
| Exact command and logs/traceback | Full allin1-mlx ... command + stack trace |
Metadata
Release files for all-in-one-mlx 1.0.13
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| all_in_one_mlx-1.0.13.tar.gz | 141.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| all_in_one_mlx-1.0.13-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 196.7 kB
Release files / all_in_one_mlx-1.0.13.tar.gz
| Download URL | all_in_one_mlx-1.0.13.tar.gz |
|---|---|
| Size | 141.0 kB |
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| Uploaded via |
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