{
 "variants": {
  "model.onnx": {
   "dtype": "float32",
   "opset": 17,
   "exporter": "torchscript",
   "clip_prob_max_delta": 6.556510925292969e-07,
   "frame_prob_max_delta": 2.9578804969787598e-06,
   "min_onnxruntime": "1.14",
   "intended_for": "CPU or any GPU"
  },
  "model_fp16.onnx": {
   "dtype": "float16",
   "opset": 17,
   "exporter": "torchscript",
   "clip_prob_max_delta": 0.00027447938919067383,
   "frame_prob_max_delta": 0.0024967193603515625,
   "parity_reference": "model.onnx (fp32 graph, itself verified against the torch package)",
   "parity_provider": "CUDAExecutionProvider",
   "parity_battery": "32 real 4 s windows",
   "min_onnxruntime": "1.14",
   "intended_for": "GPU (CPU runtimes have few fp16 kernels)"
  },
  "model_fp16_opset23.onnx": {
   "dtype": "float16",
   "opset": 23,
   "exporter": "dynamo",
   "clip_prob_max_delta": 0.00022864341735839844,
   "frame_prob_max_delta": 0.0015059113502502441,
   "parity_reference": "model.onnx (fp32 graph, itself verified against the torch package)",
   "parity_provider": "CUDAExecutionProvider",
   "parity_battery": "32 real 4 s windows",
   "min_onnxruntime": "1.22",
   "intended_for": "GPU (CPU runtimes have few fp16 kernels)"
  }
 },
 "default": "model.onnx",
 "selection": "CPU: model.onnx. CUDA: model_fp16_opset23.onnx if the runtime loads it (>= 1.22), else model_fp16.onnx. events_onnx.py does this.",
 "inputs": {
  "waveform": "(batch, 64000) float32 PCM, 16 kHz mono, one 4 s window per row, zero-padded",
  "n_valid": "(batch,) int64 real samples per row (64000 for a full window)"
 },
 "outputs": {
  "clip_prob": "(batch,) float32 laughter probability of the window",
  "frame_probs": "(batch, 24) float32 laughter probability per 0.16 s frame",
  "frame_mask": "(batch, 24) bool, False on padding"
 },
 "front_end": "kaldi log-mel fbank inside the graph, float32 in every variant: 25 ms Hann, 10 ms shift, pre-emphasis 0.97, DC removal, 128 mel bins (20 Hz-8 kHz), log, normalised (x - -4.268) / (2 * 4.569). Resampling to 16 kHz is the caller's job.",
 "windowing": {
  "window_s": 4.0,
  "hop_s": 2.0,
  "stitch": "max over overlapping windows",
  "decode": "see config.json operating_points"
 },
 "parity_battery": {
  "fp32_graph": {
   "windows": 32,
   "fbank_max_delta": 3.9696693420410156e-05,
   "against": "the torch package (modeling_laughter.py, fp32) on real 4 s windows incl. zero-padded short ones"
  },
  "fp16_graphs": "32 real 4 s windows from a 16 kHz conversation, compared against the fp32 graph on CUDAExecutionProvider (onnxruntime-gpu 1.29, cuDNN 9, NVIDIA GB10); tolerance 5e-3"
 },
 "dependencies": [
  "onnxruntime",
  "numpy"
 ]
}