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ML_benchmarking
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{
  "name": "toyadmos-autoencoder",
  "source": "https://raw.githubusercontent.com/mlcommons/tiny/4addd0fa08d216e20637637874e084895f289da4/benchmark/training/anomaly_detection/trained_models/ad01.h5",
  "method": "mlperf-tiny",
  "note": "Export and publish with convert_and_push.py --only toyadmos-autoencoder; see docs/toyadmos.md",
  "revision": "4addd0fa08d216e20637637874e084895f289da4",
  "validation": "ONNX checker + ORT vs unfused NumPy, 33 probes",
  "source_sha256": "651a62de1b7facd68d1269373992a2d09ffd28e6a816935d4834fcc558bde512",
  "source_revision": "4addd0fa08d216e20637637874e084895f289da4",
  "validation_max_abs_diff": 3.814697265625e-05,
  "numpy_parity_samples": 33,
  "opset_requested": 13,
  "files": {
    "model.onnx": {
      "sha256": "aade87954c434b88bd1b3d3a5ff10c7260328f7aa26d0f26dea16fd79262034b",
      "bytes": 1085298,
      "inputs": {
        "input": [
          1,
          640
        ]
      },
      "outputs": {
        "dense_9": [
          1,
          640
        ]
      },
      "opset": 13
    }
  },
  "exported_at": "2026-11-06T21:00:40.507430+00:00"
}