osh / dist_hyperas

a tool for distributing keras/hyperas model training tasks

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unfinished work in progress ...

readme information... coming soon

basically this is what happens here:

 [2.039406419881185, 0.13577102455894152], u'epoch': [0, 1], u'time': 20.692888021469116, u'accuracy': 0.984}
(worker available gpu0) launching new model to worker...
1475215229.75 Model returned results: gpu1 392261103527195121 1174066377352204012 {u'loss': 0.06286983437425807, u'vloss_hist': [0.08694266658127307, 0.06286983418827877], u'loss_hist': [1.5290434392770131, 0.14178805553515753], u'epoch': [0, 1], u'time': 20.677179098129272, u'accuracy': 0.9807}
(worker available gpu1) launching new model to worker...
1475215233.3 Model returned results: gpu2 392261103527195121 1174066377352204012 {u'loss': 0.06083882369111525, u'vloss_hist': [0.08725910265445709, 0.06083882510075345], u'loss_hist': [2.532047382378578, 0.14848739657402038], u'epoch': [0, 1], u'time': 20.071789026260376, u'accuracy': 0.9799}
(worker available gpu2) launching new model to worker...
1475215243.23 Model returned results: gpu3 392261103527195121 1174066377352204012 {u'loss': 0.05669610694949661, u'vloss_hist': [0.08017744908891618, 0.05669610666683875], u'loss_hist': [1.8066824838399886, 0.15214819104870161], u'epoch': [0, 1], u'time': 18.86876606941223, u'accuracy': 0.9809}
(worker available gpu3) launching new model to worker...
1475215246.55 Model returned results: gpu0 392261103527195121 1174066377352204012 {u'loss': 0.060667896501877115, u'vloss_hist': [0.08072051434367895, 0.06066789673320018], u'loss_hist': [1.446364458378156, 0.13854235161940257], u'epoch': [0, 1], u'time': 19.453393936157227, u'accuracy': 0.9792}
(worker available gpu0) launching new model to worker...
1475215248.94 Model returned results: gpu1 392261103527195121 1174066377352204012 {u'loss': 0.05330152556790417, u'vloss_hist': [0.08052733004540205, 0.05330152508728206], u'loss_hist': [1.6761459204097588, 0.13374127324819565], u'epoch': [0, 1], u'time': 19.103382110595703, u'accuracy': 0.9827}
(worker available gpu1) launching new model to worker...
1475215252.95 Model returned results: gpu2 392261103527195121 1174066377352204012 {u'loss': 0.045397214584116594, u'vloss_hist': [0.0612043980833143, 0.04539721465241164], u'loss_hist': [1.8026364133973916, 0.12364847303628922], u'epoch': [0, 1], u'time': 19.52486491203308, u'accuracy': 0.9842}
(worker available gpu2) launching new model to worker...
1475215262.55 Model returned results: gpu3 392261103527195121 1174066377352204012 {u'loss': 0.050177874105953375, u'vloss_hist': [0.06735702128000558, 0.0501778740003705], u'loss_hist': [1.239953548558553, 0.1310390730202198], u'epoch': [0, 1], u'time': 19.226721048355103, u'accuracy': 0.9831}
(worker available gpu3) launching new model to worker...
1475215265.72 Model returned results: gpu0 392261103527195121 1174066377352204012 {u'loss': 0.059501270283787745, u'vloss_hist': [0.08193846620209515, 0.05950127024576068], u'loss_hist': [2.6259114333550135, 0.14827882204055787], u'epoch': [0, 1], u'time': 19.079010009765625, u'accuracy': 0.9798}

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a tool for distributing keras/hyperas model training tasks

License:MIT License


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Language:Python 100.0%