Repo: fairseq
Filename: /mnt/batch/tasks/workitems/opt1/job-1/Task_fairseq/wd/borntobeflaky/projects/fairseq/tests/test_multi_corpus_sampled_dataset.py
ClassName: TestMultiCorpusSampledDataset
Testname: test_multi_corpus_sampled_dataset_uniform_sample
Params: num_epochs,47,20,ParamType.ITER,1000
Assertion: self.assertLess(abs(sample_from_first_ds_percentage - expected_sample_from_first_ds_percentage),0.01,)
Original runtime: 1.665
>>Getting original runtime
Optimization Iteration: 1
Running with params: {'num_epochs': 1000}
Logdir: /mnt/batch/tasks/workitems/opt1/job-1/Task_fairseq/wd/borntobeflaky/tool/logs/optim_1597614526_fairseq/run_1597614526/assert_35959025_1000
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.011666666666667, Max: 2.08, Min: 1.96
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 2.011666666666667, Max: 2.08, Min: 1.96
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 2.011666666666667
Score: 2.011666666666667
Best-score: 2.011666666666667
Best-param: {'num_epochs': 1000}
>>Setting original runtime to 2.011666666666667
Optimization Iteration: 1
Running with params: {'num_epochs': 160}
Logdir: /mnt/batch/tasks/workitems/opt1/job-1/Task_fairseq/wd/borntobeflaky/tool/logs/optim_1597614526_fairseq/run_1597614526/assert_35959025_160
Launching 30 jobs, 30 in parallel
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Timings: Avg: 1.7386666666666666, Max: 1.7799999999999998, Min: 1.63
Passed tests : 0
Failed tests : 30
Half of samples failed, exiting...
All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 2.011666666666667
Best-param: {'num_epochs': 1000}
Optimization Iteration: 2
Running with params: {'num_epochs': 430}
Logdir: /mnt/batch/tasks/workitems/opt1/job-1/Task_fairseq/wd/borntobeflaky/tool/logs/optim_1597614526_fairseq/run_1597614526/assert_35959025_430
Launching 30 jobs, 30 in parallel
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Timings: Avg: 1.8509999999999998, Max: 1.8900000000000001, Min: 1.7100000000000002
Passed tests : 0
Failed tests : 30
Half of samples failed, exiting...
All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 2.011666666666667
Best-param: {'num_epochs': 1000}
Optimization Iteration: 3
Running with params: {'num_epochs': 430}
Optimization Iteration: 4
Running with params: {'num_epochs': 280}
Logdir: /mnt/batch/tasks/workitems/opt1/job-1/Task_fairseq/wd/borntobeflaky/tool/logs/optim_1597614526_fairseq/run_1597614526/assert_35959025_280
Launching 30 jobs, 30 in parallel
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Timings: Avg: 1.6916666666666667, Max: 1.74, Min: 1.54
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 1.6916666666666667, Max: 1.74, Min: 1.54
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 1.6916666666666667
Score: 1.6916666666666667
Best-score: 1.6916666666666667
Best-param: {'num_epochs': 280}
Optimization Iteration: 5
Running with params: {'num_epochs': 530}
Higher iteration... returning...
Optimization Iteration: 6
Running with params: {'num_epochs': 210}
Logdir: /mnt/batch/tasks/workitems/opt1/job-1/Task_fairseq/wd/borntobeflaky/tool/logs/optim_1597614526_fairseq/run_1597614526/assert_35959025_210
Launching 30 jobs, 30 in parallel
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Timings: Avg: 1.669666666666667, Max: 1.71, Min: 1.6
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 1.669666666666667, Max: 1.71, Min: 1.6
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 1.669666666666667
Score: 1.669666666666667
Best-score: 1.669666666666667
Best-param: {'num_epochs': 210}
Optimization Iteration: 7
Running with params: {'num_epochs': 120}
Logdir: /mnt/batch/tasks/workitems/opt1/job-1/Task_fairseq/wd/borntobeflaky/tool/logs/optim_1597614526_fairseq/run_1597614526/assert_35959025_120
Launching 30 jobs, 30 in parallel
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Timings: Avg: 1.724333333333333, Max: 1.79, Min: 1.65
Passed tests : 0
Failed tests : 30
Half of samples failed, exiting...
All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 1.669666666666667
Best-param: {'num_epochs': 210}
Optimization Iteration: 8
Running with params: {'num_epochs': 100}
Logdir: /mnt/batch/tasks/workitems/opt1/job-1/Task_fairseq/wd/borntobeflaky/tool/logs/optim_1597614526_fairseq/run_1597614526/assert_35959025_100
Launching 30 jobs, 30 in parallel
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Timings: Avg: 1.7166666666666666, Max: 1.76, Min: 1.61
Passed tests : 0
Failed tests : 30
Half of samples failed, exiting...
All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 1.669666666666667
Best-param: {'num_epochs': 210}
Optimization Iteration: 9
Running with params: {'num_epochs': 780}
Higher iteration... returning...
Optimization Iteration: 10
Running with params: {'num_epochs': 180}
Logdir: /mnt/batch/tasks/workitems/opt1/job-1/Task_fairseq/wd/borntobeflaky/tool/logs/optim_1597614526_fairseq/run_1597614526/assert_35959025_180
Launching 30 jobs, 30 in parallel
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Timings: Avg: 1.7336666666666667, Max: 1.7999999999999998, Min: 1.56
Passed tests : 0
Failed tests : 30
Half of samples failed, exiting...
All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 1.669666666666667
Best-param: {'num_epochs': 210}
Optimization Iteration: 11
Running with params: {'num_epochs': 740}
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Optimization Iteration: 12
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Optimization Iteration: 14
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Higher iteration... returning...
Optimization Iteration: 15
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Optimization Iteration: 16
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Optimization Iteration: 19
Running with params: {'num_epochs': 190}
Logdir: /mnt/batch/tasks/workitems/opt1/job-1/Task_fairseq/wd/borntobeflaky/tool/logs/optim_1597614526_fairseq/run_1597614526/assert_35959025_190
Launching 30 jobs, 30 in parallel
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Timings: Avg: 1.743, Max: 1.79, Min: 1.6
Passed tests : 0
Failed tests : 30
Half of samples failed, exiting...
All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 1.669666666666667
Best-param: {'num_epochs': 210}
Optimization Iteration: 20
Running with params: {'num_epochs': 560}
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Optimization Iteration: 25
Running with params: {'num_epochs': 370}
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Optimization Iteration: 26
Running with params: {'num_epochs': 140}
Logdir: /mnt/batch/tasks/workitems/opt1/job-1/Task_fairseq/wd/borntobeflaky/tool/logs/optim_1597614526_fairseq/run_1597614526/assert_35959025_140
Launching 30 jobs, 30 in parallel
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Timings: Avg: 1.722, Max: 1.75, Min: 1.66
Passed tests : 0
Failed tests : 30
Half of samples failed, exiting...
All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 1.669666666666667
Best-param: {'num_epochs': 210}
Optimization Iteration: 27
Running with params: {'num_epochs': 220}
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Optimization Iteration: 36
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Optimization Iteration: 37
Running with params: {'num_epochs': 130}
Logdir: /mnt/batch/tasks/workitems/opt1/job-1/Task_fairseq/wd/borntobeflaky/tool/logs/optim_1597614526_fairseq/run_1597614526/assert_35959025_130
Launching 30 jobs, 30 in parallel
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Timings: Avg: 1.7393333333333334, Max: 1.8, Min: 1.69
Passed tests : 0
Failed tests : 30
Half of samples failed, exiting...
All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 1.669666666666667
Best-param: {'num_epochs': 210}
Optimization Iteration: 38
Running with params: {'num_epochs': 670}
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Optimization Iteration: 41
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Running with params: {'num_epochs': 410}
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Optimization Iteration: 43
Running with params: {'num_epochs': 200}
Logdir: /mnt/batch/tasks/workitems/opt1/job-1/Task_fairseq/wd/borntobeflaky/tool/logs/optim_1597614526_fairseq/run_1597614526/assert_35959025_200
Launching 30 jobs, 30 in parallel
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Timings: Avg: 1.6443333333333336, Max: 1.69, Min: 1.56
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 1.6443333333333336, Max: 1.69, Min: 1.56
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 1.6443333333333336
Score: 1.6443333333333336
Best-score: 1.6443333333333336
Best-param: {'num_epochs': 200}
Optimization Iteration: 44
Running with params: {'num_epochs': 110}
Logdir: /mnt/batch/tasks/workitems/opt1/job-1/Task_fairseq/wd/borntobeflaky/tool/logs/optim_1597614526_fairseq/run_1597614526/assert_35959025_110
Launching 30 jobs, 30 in parallel
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Timings: Avg: 1.7309999999999997, Max: 1.75, Min: 1.65
Passed tests : 0
Failed tests : 30
Half of samples failed, exiting...
All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 1.6443333333333336
Best-param: {'num_epochs': 200}
Optimization Iteration: 45
Running with params: {'num_epochs': 200}
Optimization Iteration: 46
Running with params: {'num_epochs': 200}
Optimization Iteration: 47
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Optimization Iteration: 48
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Optimization Iteration: 49
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Optimization Iteration: 50
Running with params: {'num_epochs': 170}
Logdir: /mnt/batch/tasks/workitems/opt1/job-1/Task_fairseq/wd/borntobeflaky/tool/logs/optim_1597614526_fairseq/run_1597614526/assert_35959025_170
Launching 30 jobs, 30 in parallel
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Timings: Avg: 1.7376666666666667, Max: 1.79, Min: 1.58
Passed tests : 0
Failed tests : 30
Half of samples failed, exiting...
All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 1.6443333333333336
Best-param: {'num_epochs': 200}
Upto iteration 50: {'num_epochs': 200.0}
Optimization Iteration: 51
Running with params: {'num_epochs': 240}
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Running with params: {'num_epochs': 930}
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Running with params: {'num_epochs': 150}
Logdir: /mnt/batch/tasks/workitems/opt1/job-1/Task_fairseq/wd/borntobeflaky/tool/logs/optim_1597614526_fairseq/run_1597614526/assert_35959025_150
Launching 30 jobs, 30 in parallel
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Timings: Avg: 1.7259999999999995, Max: 1.77, Min: 1.5599999999999998
Passed tests : 0
Failed tests : 30
Half of samples failed, exiting...
All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 1.6443333333333336
Best-param: {'num_epochs': 200}
Optimization Iteration: 57
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Running with params: {'num_epochs': 410}
Higher iteration... returning...
Optimization Iteration: 93
Running with params: {'num_epochs': 160}
Optimization Iteration: 94
Running with params: {'num_epochs': 330}
Higher iteration... returning...
Optimization Iteration: 95
Running with params: {'num_epochs': 240}
Higher iteration... returning...
Optimization Iteration: 96
Running with params: {'num_epochs': 110}
Optimization Iteration: 97
Running with params: {'num_epochs': 200}
Optimization Iteration: 98
Running with params: {'num_epochs': 850}
Higher iteration... returning...
Optimization Iteration: 99
Running with params: {'num_epochs': 190}
Optimization Iteration: 100
Running with params: {'num_epochs': 280}
Upto iteration 100: {'num_epochs': 200.0}
Breaking...
{'num_epochs': 200.0}
Best score: 1.6443333333333336
Repeated params: 38
Trials: 101
Best param {'num_epochs': 200.0}
Reduction: 18.260149130074566%
Speedup: 1.223393472531928x
Optimizer time: 30.66432285308838
