зеркало из https://github.com/microsoft/archai.git
Added no freezing in stage 2 experiments.
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Родитель
c3bdb2125a
Коммит
75a0aec42f
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@ -236,7 +236,7 @@
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"request": "launch",
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"request": "launch",
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"program": "${cwd}/scripts/main.py",
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"program": "${cwd}/scripts/main.py",
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"console": "integratedTerminal",
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"console": "integratedTerminal",
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"args": ["--full", "--algos", "proxynas_natsbench_space", "--datasets", "cifar10"],
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"args": ["--full", "--algos", "proxynas_natsbench_space", "--datasets", "cifar100"],
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"justMyCode": true
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"justMyCode": true
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},
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},
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{
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{
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@ -718,7 +718,7 @@
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"request": "launch",
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"request": "launch",
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"program": "${cwd}/scripts/reports/fear_analysis/analysis_freeze_natsbench_space_new.py",
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"program": "${cwd}/scripts/reports/fear_analysis/analysis_freeze_natsbench_space_new.py",
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"console": "integratedTerminal",
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"console": "integratedTerminal",
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"args": ["--results-dir", "F:\\archaiphilly\\phillytools\\ft_fb1024_ftlr0.1_fte10_ct256_ftt0.6_scu",
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"args": ["--results-dir", "F:\\archaiphilly\\phillytools\\ft_fb1024_ftlr0.1_fte5_ct256_ftt0.6_nofreeze",
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"--out-dir", "F:\\archai_experiment_reports"]
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"--out-dir", "F:\\archai_experiment_reports"]
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},
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},
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{
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{
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@ -772,7 +772,7 @@
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"request": "launch",
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"request": "launch",
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"program": "${cwd}/scripts/reports/fear_plots/cross_exp_plots.py",
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"program": "${cwd}/scripts/reports/fear_plots/cross_exp_plots.py",
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"console": "integratedTerminal",
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"console": "integratedTerminal",
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"args": ["--dataset", "natsbench_sss_cifar10",
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"args": ["--dataset", "natsbench_cifar10",
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"--conf-location", "scripts/reports/fear_plots/cross_exp_conf.yaml"]
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"--conf-location", "scripts/reports/fear_plots/cross_exp_conf.yaml"]
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},
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},
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{
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{
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@ -19,7 +19,7 @@ nas:
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naswotrain:
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naswotrain:
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train_batch: 256 # batch size for computing trainingless score
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train_batch: 256 # batch size for computing trainingless score
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freeze_loader:
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freeze_loader:
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train_batch: 1024 # batch size for freeze training. 2048 works reliably on V100 with cell13 onwards unfrozen
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train_batch: 512 # batch size for freeze training. 2048 works reliably on V100 with cell13 onwards unfrozen
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trainer:
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trainer:
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plotsdir: ''
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plotsdir: ''
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use_val: False
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use_val: False
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@ -80,7 +80,7 @@ def main():
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# a = parse_a_job(job_dir)
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# a = parse_a_job(job_dir)
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# parallel parsing of yaml logs
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# parallel parsing of yaml logs
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num_workers = 12
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num_workers = 8
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with Pool(num_workers) as p:
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with Pool(num_workers) as p:
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a = p.map(parse_a_job, job_dirs)
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a = p.map(parse_a_job, job_dirs)
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@ -59,6 +59,7 @@ natsbench_cifar10:
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# ft_fb512_ftlr0.1_fte10_ct256_ftt0.6_c9: 'fear stage 2: batch 512, lr 0.1, <br> epochs 10, stage 1: batch 256, thresh 0.6, frozen till: cell 9'
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# ft_fb512_ftlr0.1_fte10_ct256_ftt0.6_c9: 'fear stage 2: batch 512, lr 0.1, <br> epochs 10, stage 1: batch 256, thresh 0.6, frozen till: cell 9'
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# ft_fb256_ftlr0.1_fte5_ct256_ftt0.6_c9: 'fear stage 2: batch 256, lr 0.1, <br> epochs 5, stage 1: batch 256, thresh 0.6, frozen till: cell 9'
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# ft_fb256_ftlr0.1_fte5_ct256_ftt0.6_c9: 'fear stage 2: batch 256, lr 0.1, <br> epochs 5, stage 1: batch 256, thresh 0.6, frozen till: cell 9'
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# ft_fb256_ftlr0.1_fte10_ct256_ftt0.6_c9: 'fear stage 2: batch 256, lr 0.1, <br> epochs 10, stage 1: batch 256, thresh 0.6, frozen till: cell 9'
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# ft_fb256_ftlr0.1_fte10_ct256_ftt0.6_c9: 'fear stage 2: batch 256, lr 0.1, <br> epochs 10, stage 1: batch 256, thresh 0.6, frozen till: cell 9'
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ft_fb1024_ftlr0.1_fte5_ct256_ftt0.6_nofreeze: 'ft_fb1024_ftlr0.1_fte5_ct256_ftt0.6_nofreeze'
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zero_cost:
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zero_cost:
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