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ONNX importer: LSTM, Gather, Unsqueeze/Squeeze, Cast, Where, If (Silero VAD import as the gate)

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Evaluación

Dificultad
5/5
Tiempo estimado
Más de una semana
Aptitud para principiantes
25/100
Tipo de issue
Nueva funcionalidad
Claridad
Bastante claro
Estado de actividad
Activo
Stack tecnológico
kotlin
Área
machine-learning

Línea de trabajo

Start with OnnxImport.kt and the existing converters, then read the Lstm API from #823 and the ONNX opset semantics described here. The work spans recurrent lowering, multiple operators, constant-folded control flow, and test coverage; run the one-node converter tests and the pinned silero_vad.onnx import against its ORT golden. Done means end-to-end import without hand edits and outputs within 1e-4.

Escrito por el modelo de indexación a partir del texto del issue.

Descripción

enhancement file-format:onnx

Context

skainet-io-onnx's graph importer (OnnxImport.kt) handles Add, BatchNormalization, Concat, Conv, Div, Gemm, LeakyRelu, MatMul, MaxPool, Mul, Relu, Reshape, Resize, Sigmoid, Silu, Slice, Softmax, Split, Sub, Transpose, Upsample — the YOLO-shaped set from #230. Recurrent and control-flow nodes are absent, so common small audio/speech graphs (Silero VAD, RNN-T prediction nets, NeMo exports) cannot be imported even though the DSL has Lstm (#823) and gather.

This is the verification path for the native Silero VAD issue: importing the upstream graph and comparing against the hand-written module catches drift in either.

Scope

  • LSTM (ONNX opset ≥ 7 semantics: W, R, B layouts, initial_h/initial_c, direction=forward first; bidirectional as a follow-up) lowered onto Lstm.step unrolled over the sequence axis.
  • Gather, Unsqueeze, Squeeze, Cast, Where, Shape/ConstantOfShape as needed by the Silero graph.
  • If with constant-foldable conditions (Silero's sample-rate branch) — fold at import when the condition is an initializer, reject otherwise with a clear message rather than silently importing one branch.
  • Import test on the pinned silero_vad.onnx: graph builds, forward matches ORT golden within 1e-4 (same golden as the native Silero issue).
  • Ground-truth coverage for the new ops (#985).

Acceptance

  • OnnxLoader imports Silero VAD end to end without hand edits to the file.
  • Each new converter has a unit test with a minimal one-node graph.

Related

  • #230 — ONNX I/O module MVP
  • #823 — Lstm
  • #985 — ground-truth op coverage
Lenguaje dominante
Kotlin
Estrellas
52
Forks
15
Merge medio
1 d 15 h
PR fusionados (30 d)
36

Preparar el entorno

Primeros pasos

  1. Lee el issue completo y luego la guía de contribución del proyecto.
  2. Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
  3. Haz un fork del repositorio y trabaja en una rama.
  4. Abre un pull request que haga referencia al número del issue.

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