Add/update toyadmos-autoencoder
Browse files
toyadmos-autoencoder/export.json
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{
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"source": "https://raw.githubusercontent.com/mlcommons/tiny/4addd0fa08d216e20637637874e084895f289da4/benchmark/training/anomaly_detection/trained_models/ad01.h5",
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"source_sha256": "651a62de1b7facd68d1269373992a2d09ffd28e6a816935d4834fcc558bde512",
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"input_shape": [
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1,
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640
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],
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"dtype": "float32",
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"opset": 13,
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"numpy_parity_samples": 33,
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"numpy_max_abs_error": 3.814697265625e-05,
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"onnx_sha256": "aade87954c434b88bd1b3d3a5ff10c7260328f7aa26d0f26dea16fd79262034b"
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}
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toyadmos-autoencoder/manifest.txt
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name=toyadmos-autoencoder
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source=https://raw.githubusercontent.com/mlcommons/tiny/4addd0fa08d216e20637637874e084895f289da4/benchmark/training/anomaly_detection/trained_models/ad01.h5
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sha256=aade87954c434b88bd1b3d3a5ff10c7260328f7aa26d0f26dea16fd79262034b
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source_sha256=651a62de1b7facd68d1269373992a2d09ffd28e6a816935d4834fcc558bde512
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input_shape=1x640
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dtype=float32
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toyadmos-autoencoder/meta.json
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{
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"name": "toyadmos-autoencoder",
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"source": "https://raw.githubusercontent.com/mlcommons/tiny/4addd0fa08d216e20637637874e084895f289da4/benchmark/training/anomaly_detection/trained_models/ad01.h5",
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"method": "mlperf-tiny",
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"note": "Export and publish with convert_and_push.py --only toyadmos-autoencoder; see docs/toyadmos.md",
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"revision": "4addd0fa08d216e20637637874e084895f289da4",
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"validation": "ONNX checker + ORT vs unfused NumPy, 33 probes",
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"source_sha256": "651a62de1b7facd68d1269373992a2d09ffd28e6a816935d4834fcc558bde512",
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"source_revision": "4addd0fa08d216e20637637874e084895f289da4",
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"validation_max_abs_diff": 3.814697265625e-05,
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"numpy_parity_samples": 33,
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"opset_requested": 13,
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"files": {
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"model.onnx": {
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"sha256": "aade87954c434b88bd1b3d3a5ff10c7260328f7aa26d0f26dea16fd79262034b",
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"bytes": 1085298,
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"inputs": {
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"input": [
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1,
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640
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]
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},
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"outputs": {
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"dense_9": [
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1,
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640
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]
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},
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"opset": 13
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}
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},
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"exported_at": "2026-11-06T21:00:40.507430+00:00"
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}
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toyadmos-autoencoder/model.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:aade87954c434b88bd1b3d3a5ff10c7260328f7aa26d0f26dea16fd79262034b
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size 1085298
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