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ModelZoo
MLPerf_MaskRCNN_pytorch
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ead73978
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ead73978
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Apr 26, 2023
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liangjing
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:::MLLOG {"namespace": "", "time_ms": 1679290972885, "event_type": "POINT_IN_TIME", "key": "opt_learning_rate_decay_factor", "value": 0.1, "metadata": {"file": "tools/train_mlperf.py", "lineno": 175}}
:::MLLOG {"namespace": "", "time_ms": 1679290972886, "event_type": "POINT_IN_TIME", "key": "opt_learning_rate_decay_steps", "value": [18000, 24000], "metadata": {"file": "tools/train_mlperf.py", "lineno": 176}}
:::MLLOG {"namespace": "", "time_ms": 1679290972886, "event_type": "POINT_IN_TIME", "key": "min_image_size", "value": 800, "metadata": {"file": "tools/train_mlperf.py", "lineno": 177}}
:::MLLOG {"namespace": "", "time_ms": 1679290972886, "event_type": "POINT_IN_TIME", "key": "max_image_size", "value": 1333, "metadata": {"file": "tools/train_mlperf.py", "lineno": 178}}
:::MLLOG {"namespace": "", "time_ms": 1679290973175, "event_type": "INTERVAL_END", "key": "init_stop", "value": null, "metadata": {"file": "tools/train_mlperf.py", "lineno": 205}}
:::MLLOG {"namespace": "", "time_ms": 1679290973209, "event_type": "INTERVAL_START", "key": "run_start", "value": null, "metadata": {"file": "tools/train_mlperf.py", "lineno": 207}}
:::MLLOG {"namespace": "", "time_ms": 1679290992859, "event_type": "POINT_IN_TIME", "key": "train_samples", "value": 40000, "metadata": {"file": "tools/train_mlperf.py", "lineno": 217}}
:::MLLOG {"namespace": "", "time_ms": 1679290993954, "event_type": "INTERVAL_START", "key": "block_start", "value": null, "metadata": {"file": "tools/train_mlperf.py", "lineno": 130, "first_epoch_num": 1, "epoch_count": 1}}
:::MLLOG {"namespace": "", "time_ms": 1679290993956, "event_type": "INTERVAL_START", "key": "epoch_start", "value": null, "metadata": {"file": "tools/train_mlperf.py", "lineno": 131, "epoch_num": 1}}
:::MLLOG {"namespace": "", "time_ms": 1679291455013, "event_type": "INTERVAL_START", "key": "init_start", "value": null, "metadata": {"file": "tools/train_mlperf.py", "lineno": 264}}
:::MLLOG {"namespace": "", "time_ms": 1679291455033, "event_type": "INTERVAL_START", "key": "init_start", "value": null, "metadata": {"file": "tools/train_mlperf.py", "lineno": 264}}
:::MLLOG {"namespace": "", "time_ms": 1679291455081, "event_type": "INTERVAL_START", "key": "init_start", "value": null, "metadata": {"file": "tools/train_mlperf.py", "lineno": 264}}
:::MLLOG {"namespace": "", "time_ms": 1679291455083, "event_type": "INTERVAL_START", "key": "init_start", "value": null, "metadata": {"file": "tools/train_mlperf.py", "lineno": 264}}
:::MLLOG {"namespace": "", "time_ms": 1679291455081, "event_type": "INTERVAL_START", "key": "init_start", "value": null, "metadata": {"file": "tools/train_mlperf.py", "lineno": 264}}
:::MLLOG {"namespace": "", "time_ms": 1679291455098, "event_type": "INTERVAL_START", "key": "init_start", "value": null, "metadata": {"file": "tools/train_mlperf.py", "lineno": 264}}
:::MLLOG {"namespace": "", "time_ms": 1679291455102, "event_type": "INTERVAL_START", "key": "init_start", "value": null, "metadata": {"file": "tools/train_mlperf.py", "lineno": 264}}
:::MLLOG {"namespace": "", "time_ms": 1679291455105, "event_type": "INTERVAL_START", "key": "init_start", "value": null, "metadata": {"file": "tools/train_mlperf.py", "lineno": 264}}
:::MLLOG {"namespace": "", "time_ms": 1679291457140, "event_type": "POINT_IN_TIME", "key": "seed", "value": 2617126912, "metadata": {"file": "tools/train_mlperf.py", "lineno": 318}}
:::MLLOG {"namespace": "", "time_ms": 1679291458229, "event_type": "POINT_IN_TIME", "key": "global_batch_size", "value": 64, "metadata": {"file": "tools/train_mlperf.py", "lineno": 156}}
:::MLLOG {"namespace": "", "time_ms": 1679291458230, "event_type": "POINT_IN_TIME", "key": "num_image_candidates", "value": 8000, "metadata": {"file": "tools/train_mlperf.py", "lineno": 157}}
:::MLLOG {"namespace": "", "time_ms": 1679291459334, "event_type": "POINT_IN_TIME", "key": "opt_name", "value": "sgd_with_momentum", "metadata": {"file": "tools/train_mlperf.py", "lineno": 171}}
:::MLLOG {"namespace": "", "time_ms": 1679291459335, "event_type": "POINT_IN_TIME", "key": "opt_base_learning_rate", "value": 0.08, "metadata": {"file": "tools/train_mlperf.py", "lineno": 172}}
:::MLLOG {"namespace": "", "time_ms": 1679291459335, "event_type": "POINT_IN_TIME", "key": "opt_learning_rate_warmup_steps", "value": 800, "metadata": {"file": "tools/train_mlperf.py", "lineno": 173}}
:::MLLOG {"namespace": "", "time_ms": 1679291459335, "event_type": "POINT_IN_TIME", "key": "opt_learning_rate_warmup_factor", "value": 0.0001, "metadata": {"file": "tools/train_mlperf.py", "lineno": 174}}
:::MLLOG {"namespace": "", "time_ms": 1679291459336, "event_type": "POINT_IN_TIME", "key": "opt_learning_rate_decay_factor", "value": 0.1, "metadata": {"file": "tools/train_mlperf.py", "lineno": 175}}
:::MLLOG {"namespace": "", "time_ms": 1679291459336, "event_type": "POINT_IN_TIME", "key": "opt_learning_rate_decay_steps", "value": [18000, 24000], "metadata": {"file": "tools/train_mlperf.py", "lineno": 176}}
:::MLLOG {"namespace": "", "time_ms": 1679291459336, "event_type": "POINT_IN_TIME", "key": "min_image_size", "value": 800, "metadata": {"file": "tools/train_mlperf.py", "lineno": 177}}
:::MLLOG {"namespace": "", "time_ms": 1679291459337, "event_type": "POINT_IN_TIME", "key": "max_image_size", "value": 1333, "metadata": {"file": "tools/train_mlperf.py", "lineno": 178}}
:::MLLOG {"namespace": "", "time_ms": 1679291459603, "event_type": "INTERVAL_END", "key": "init_stop", "value": null, "metadata": {"file": "tools/train_mlperf.py", "lineno": 205}}
:::MLLOG {"namespace": "", "time_ms": 1679291459649, "event_type": "INTERVAL_START", "key": "run_start", "value": null, "metadata": {"file": "tools/train_mlperf.py", "lineno": 207}}
:::MLLOG {"namespace": "", "time_ms": 1679291477898, "event_type": "POINT_IN_TIME", "key": "train_samples", "value": 40000, "metadata": {"file": "tools/train_mlperf.py", "lineno": 217}}
:::MLLOG {"namespace": "", "time_ms": 1679291480541, "event_type": "INTERVAL_START", "key": "block_start", "value": null, "metadata": {"file": "tools/train_mlperf.py", "lineno": 130, "first_epoch_num": 1, "epoch_count": 1}}
:::MLLOG {"namespace": "", "time_ms": 1679291480548, "event_type": "INTERVAL_START", "key": "epoch_start", "value": null, "metadata": {"file": "tools/train_mlperf.py", "lineno": 131, "epoch_num": 1}}
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