Function decode

decode(
    engine: IInferenceEngine,
    normedInputs: Float32Array<ArrayBufferLike>[],
    patchedMasks: Uint8Array<ArrayBufferLike>[],
    contextMu: Float32Array<ArrayBufferLike>[],
    contextSigma: Float32Array<ArrayBufferLike>[],
    lastStats: RunningStats[],
    horizon: number,
    fc: ForecastConfig,
    mc?: ModelConfig,
    signal?: AbortSignal,
): Promise<DecodeResult>
Run the full decode loop.

Concurrency safety: This function is pure with respect to the engine — it reads from the engine but never mutates shared state. Multiple decode() calls can run concurrently (e.g., main path + flip path in Promise.all) without races, provided the engine supports concurrent forward() calls. ONNX Runtime sessions are safe for concurrent use.
Parameters
- engine: IInferenceEngine
  Inference backend (ONNX Runtime).
- normedInputs: Float32Array<ArrayBufferLike>[]
  Pre-normalised patched inputs [batch][numPatches * inputPatchLen].
- patchedMasks: Uint8Array<ArrayBufferLike>[]
  Patch masks [batch][numPatches * inputPatchLen].
- contextMu: Float32Array<ArrayBufferLike>[]
  Per-patch means [batchSize * numPatches].
- contextSigma: Float32Array<ArrayBufferLike>[]
  Per-patch stds [batchSize * numPatches].
- lastStats: RunningStats[]
  Running stats after last context patch (for AR decode start).
- horizon: number
  Forecast horizon.
- fc: ForecastConfig
  Forecast config.
- mc: ModelConfig = TIMESFM_25_CONFIG
  Model config.
- Optionalsignal: AbortSignal
  Optional AbortSignal for cancellation.
Returns Promise<DecodeResult>
- Defined in packages/timesfm-core/src/inference/decode-loop.ts:75

Function decode

Parameters

Returns Promise<DecodeResult>

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