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{ | ||
"cosmoflow_ref_32": { | ||
"Benchmark": "cosmoflow", | ||
"BS": 32, | ||
"Epochs to converge": [ 8, 8, 9, 8, 6, 8, 6, 6, 7, 8, 8, 8, 9, 8, 7, 8, 6, 9, 8, 8, 8, 8, 9, 8, 9, 8, 8, 8, 8, 8, 8, 8, 8 ], | ||
"Hyperparams": { | ||
"global_batch_size": 32, | ||
"opt_name": "SGD", | ||
"opt_base_learning_rate": 0.001, | ||
"opt_learning_rate_warmup_epochs": 2, | ||
"opt_learning_rate_warmup_factor": 4.0, | ||
"opt_learning_rate_decay_boundary_epochs": [ 4, 6 ], | ||
"opt_learning_rate_decay_factor": [0.25, 0.0625], | ||
"dropout": 0.5, | ||
"opt_weight_decay": 0.0 | ||
} | ||
}, | ||
"cosmoflow_ref_64": { | ||
"Benchmark": "cosmoflow", | ||
"BS": 64, | ||
"Epochs to converge": [ 19, 18, 20, 17, 18, 19, 18, 18, 18, 18, 18, 18, 18, 19, 18, 18, 18, 18, 18, 20 ], | ||
"Hyperparams": { | ||
"global_batch_size": 64, | ||
"opt_name": "SGD", | ||
"opt_base_learning_rate": 0.001, | ||
"opt_learning_rate_warmup_epochs": 4, | ||
"opt_learning_rate_warmup_factor": 1.0, | ||
"opt_learning_rate_decay_boundary_epochs": [ 16, 32 ], | ||
"opt_learning_rate_decay_factor": 0.25, | ||
"dropout": 0.0, | ||
"opt_weight_decay": 0.01 | ||
} | ||
}, | ||
"cosmoflow_ref_128": { | ||
"Benchmark": "cosmoflow", | ||
"BS": 128, | ||
"Epochs to converge": [ 16, 18, 18, 18, 18, 17, 18, 18, 18, 18, 18, 18, 17, 18, 18, 18, 19, 18, 18, 18 ], | ||
"Hyperparams": { | ||
"global_batch_size": 128, | ||
"opt_name": "SGD", | ||
"opt_base_learning_rate": 0.004, | ||
"opt_learning_rate_warmup_epochs": 4, | ||
"opt_learning_rate_warmup_factor": 4.0, | ||
"opt_learning_rate_decay_boundary_epochs": [ 16, 32 ], | ||
"opt_learning_rate_decay_factor": 0.25, | ||
"dropout": 0.5, | ||
"opt_weight_decay": 0.0 | ||
} | ||
}, | ||
"cosmoflow_ref_512": { | ||
"Benchmark": "cosmoflow", | ||
"BS": 512, | ||
"Epochs to converge": [ 22, 23, 23, 24, 24, 21, 23, 23, 23, 23, 24, 23, 23, 21, 23, 23, 21, 23, 23, 23 ], | ||
"Hyperparams": { | ||
"global_batch_size": 512, | ||
"opt_name": "SGD", | ||
"opt_base_learning_rate": 0.006, | ||
"opt_learning_rate_warmup_epochs": 6, | ||
"opt_learning_rate_warmup_factor": 4.0, | ||
"opt_learning_rate_decay_boundary_epochs": [ 19, 21, 22, 23 ], | ||
"opt_learning_rate_decay_factor": [0.5, 0.25, 0.125, 0.0625], | ||
"dropout": 0.0, | ||
"opt_weight_decay": 0.01 | ||
} | ||
}, | ||
"cosmoflow_ref_1024": { | ||
"Benchmark": "cosmoflow", | ||
"BS": 1024, | ||
"Epochs to converge": [ 42, 38, 42, 40, 40, 39, 43, 37, 39, 37, 43, 39, 38, 42, 40, 42, 42, 38, 36, 43 ], | ||
"Hyperparams": { | ||
"global_batch_size": 1024, | ||
"opt_name": "SGD", | ||
"opt_base_learning_rate": 0.012, | ||
"opt_learning_rate_warmup_epochs": 0, | ||
"opt_learning_rate_warmup_factor": 1.0, | ||
"opt_learning_rate_decay_boundary_epochs": [ 32, 64 ], | ||
"opt_learning_rate_decay_factor": 0.25, | ||
"dropout": 0.5, | ||
"opt_weight_decay": 0.0 | ||
} | ||
} | ||
} |
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{ | ||
"deepcam_ref_128": { | ||
"Benchmark": "deepcam", | ||
"BS": 128, | ||
"Epochs to converge": [ 7, 7, 7, 7, 7, 7, 7, 8, 8, 6, 7, 8, 7, 6, 6, 7, 7, 6, 7, 7 ], | ||
"Hyperparams": { | ||
"batchnorm_groupsize": 1, | ||
"global_batch_size": 128, | ||
"gradient_accumulation_frequency": 1, | ||
"num_workers": 32, | ||
"opt_betas": [ 0.9, 0.999 ], | ||
"opt_bias_correction": true, | ||
"opt_eps": 1e-06, | ||
"opt_grad_averaging": true, | ||
"opt_lr": 0.00155, | ||
"opt_max_grad_norm": 1.0, | ||
"opt_weight_decay": 0.01, | ||
"opt_name": "LAMB", | ||
"scheduler_decay_rate": "0.1", | ||
"scheduler_lr_warmup_factor": 1.0, | ||
"scheduler_lr_warmup_steps": 0, | ||
"scheduler_t_max": "9000", | ||
"scheduler_eta_min": "0.0", | ||
"scheduler_type": "cosine_annealing" | ||
} | ||
}, | ||
"deepcam_ref_256": { | ||
"Benchmark": "deepcam", | ||
"BS": 256, | ||
"Epochs to converge": [ 9, 9, 9, 9, 9, 9, 9, 9, 9, 9 ], | ||
"Hyperparams": { | ||
"batchnorm_groupsize": 1, | ||
"global_batch_size": 256, | ||
"gradient_accumulation_frequency": 1, | ||
"opt_betas": [ 0.9, 0.999 ], | ||
"opt_bias_correction": true, | ||
"opt_eps": 1e-06, | ||
"opt_grad_averaging": true, | ||
"opt_lr": 0.002, | ||
"opt_max_grad_norm": 1.0, | ||
"opt_weight_decay": 0.01, | ||
"opt_name": "LAMB", | ||
"scheduler_decay_rate": 0.1, | ||
"scheduler_lr_warmup_factor": 1.0, | ||
"scheduler_lr_warmup_steps": 0, | ||
"scheduler_milestones": [ 4096, 8192 ], | ||
"scheduler_type": "multistep" | ||
} | ||
}, | ||
"deepcam_ref_512": { | ||
"Benchmark": "deepcam", | ||
"BS": 512, | ||
"Epochs to converge": [ 11, 11, 11, 11, 11, 10, 16, 12, 11, 11, 11, 10, 11, 11, 11, 10, 11, 11, 11, 11, 11, 11, 11, 12, 11, 11, 11, 11, 13, 10, 11, 13, 11, 11, 11, 10, 14, 10, 10, 10 ], | ||
"Hyperparams": { | ||
"batchnorm_groupsize": 1, | ||
"global_batch_size": 512, | ||
"gradient_accumulation_frequency": 1, | ||
"opt_betas": [ 0.9, 0.999 ], | ||
"opt_bias_correction": true, | ||
"opt_eps": 1e-06, | ||
"opt_grad_averaging": true, | ||
"opt_lr": 0.004, | ||
"opt_max_grad_norm": 1.0, | ||
"opt_weight_decay": 0.01, | ||
"opt_name": "LAMB", | ||
"scheduler_decay_rate": 0.1, | ||
"scheduler_lr_warmup_factor": 1.0, | ||
"scheduler_lr_warmup_steps": 100, | ||
"scheduler_milestones": [ 2048, 4096 ], | ||
"scheduler_type": "multistep" | ||
} | ||
}, | ||
"deepcam_ref_1024": { | ||
"Benchmark": "deepcam", | ||
"BS": 1024, | ||
"Epochs to converge": [ 13, 13, 12, 13, 13, 13, 14, 13, 13, 13 ], | ||
"Hyperparams": { | ||
"batchnorm_groupsize": 1, | ||
"global_batch_size": 1024, | ||
"gradient_accumulation_frequency": 1, | ||
"opt_betas": [ 0.9, 0.999 ], | ||
"opt_bias_correction": true, | ||
"opt_eps": 1e-06, | ||
"opt_grad_averaging": true, | ||
"opt_lr": 0.004, | ||
"opt_max_grad_norm": 1.0, | ||
"opt_weight_decay": 0.01, | ||
"opt_name": "LAMB", | ||
"scheduler_decay_rate": 0.1, | ||
"scheduler_lr_warmup_factor": 1.0, | ||
"scheduler_lr_warmup_steps": 200, | ||
"scheduler_milestones": [ 1100, 4096 ], | ||
"scheduler_type": "multistep" | ||
} | ||
}, | ||
"deepcam_ref_2048": { | ||
"Benchmark": "deepcam", | ||
"BS": 2048, | ||
"Epochs to converge": [ 23, 23, 22, 23, 22, 26, 22, 22, 24, 22 ], | ||
"Hyperparams": { | ||
"batchnorm_groupsize": 1, | ||
"global_batch_size": 2048, | ||
"gradient_accumulation_frequency": 1, | ||
"opt_betas": [ 0.9, 0.999 ], | ||
"opt_bias_correction": true, | ||
"opt_eps": 1e-06, | ||
"opt_grad_averaging": true, | ||
"opt_lr": 0.0055, | ||
"opt_max_grad_norm": 1.0, | ||
"opt_weight_decay": 0.01, | ||
"opt_name": "LAMB", | ||
"scheduler_decay_rate": "0.1", | ||
"scheduler_lr_warmup_factor": 1.0, | ||
"scheduler_lr_warmup_steps": 400, | ||
"scheduler_milestones": [ 800 ], | ||
"scheduler_type": "multistep" | ||
} | ||
} | ||
} |
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{ | ||
"oc20_ref_256": { | ||
"Benchmark": "oc20", | ||
"BS": 256, | ||
"Epochs to converge": [ 20, 18, 20, 20, 22, 18, 19, 19, 21, 21 ], | ||
"Hyperparams": { | ||
"global_batch_size": 256, | ||
"opt_base_learning_rate": 0.0004, | ||
"opt_learning_rate_warmup_steps": 31252, | ||
"opt_learning_rate_warmup_factor": 0.2, | ||
"opt_learning_rate_decay_boundary_steps": [ 125008, 187512, 250016 ], | ||
"opt_learning_rate_decay_factor": 0.1 | ||
} | ||
}, | ||
"oc20_ref_1024": { | ||
"Benchmark": "oc20", | ||
"BS": 1024, | ||
"Epochs to converge": [ 23, 25, 22, 25, 25, 25, 25, 24, 23, 25 ], | ||
"Hyperparams": { | ||
"global_batch_size": 1024, | ||
"opt_base_learning_rate": 0.0012, | ||
"opt_learning_rate_warmup_steps": 7816, | ||
"opt_learning_rate_warmup_factor": 0.2, | ||
"opt_learning_rate_decay_boundary_steps": [ 31264, 46896 ], | ||
"opt_learning_rate_decay_factor": 0.1 | ||
} | ||
}, | ||
"oc20_ref_2048": { | ||
"Benchmark": "oc20", | ||
"BS": 2048, | ||
"Epochs to converge": [ 33, 32, 33, 33, 33, 34, 33, 33, 30, 33 ], | ||
"Hyperparams": { | ||
"global_batch_size": 2048, | ||
"opt_base_learning_rate": 0.0016, | ||
"opt_learning_rate_warmup_steps": 3908, | ||
"opt_learning_rate_warmup_factor": 0.2, | ||
"opt_learning_rate_decay_boundary_steps": [ 23448, 31264 ], | ||
"opt_learning_rate_decay_factor": 0.1 | ||
} | ||
} | ||
} |
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#!/bin/bash | ||
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set -e | ||
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# rcp_bypass and rcp_bert_train_samples packahe checker params | ||
# need to be retrieved at package_checker_params file at top-level submission dir. | ||
PACKAGE_CHECKER_PARAMS="" | ||
PACKAGE_CHECKER_PARAMS_FILE="$1/package_checker_params" | ||
if test -f "$PACKAGE_CHECKER_PARAMS_FILE"; then | ||
while IFS= read -r line | ||
do | ||
PACKAGE_CHECKER_PARAMS="$PACKAGE_CHECKER_PARAMS --$line" | ||
done < "$PACKAGE_CHECKER_PARAMS_FILE" | ||
fi | ||
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python3 -m mlperf_logging.package_checker $1 hpc 3.0.0 $PACKAGE_CHECKER_PARAMS | ||
python3 -m mlperf_logging.result_summarizer $1 hpc 3.0.0 | ||
python3 -m mlperf_logging.repo_checker $1 hpc 3.0.0 |