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Qiwei Ye 2016-11-06 13:31:15 +08:00
Родитель a6d02860af
Коммит 52fb5ab283
1 изменённых файлов: 5 добавлений и 10 удалений

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@ -13,29 +13,24 @@ testCases:
- ^MPI Rank {{integer}}
- Starting Epoch {{integer}}
- learning rate per sample = {{float}}
# - momentum = {{float,tolerance=0.01%}}
Epochs must be finished with expected results for each MPI Rank:
patterns:
- ^MPI Rank {{integer}}
- Finished Epoch[{{integer}} of {{integer}}]
# - CrossEntropyWithSoftmax = {{float,tolerance=0.01%}}
# - EvalClassificationError = {{float,tolerance=0.01%}}
# - learningRatePerSample = {{float,tolerance=0.001%}}
- CE = {{float,tolerance=0.03%}}
- Err = {{float,tolerance=0.03%}}
- learningRatePerSample = {{float,tolerance=0.001%}}
Per-minibatch training results must match for each MPI Rank:
patterns:
- ^MPI Rank {{integer}}
- Epoch[{{integer}} of {{integer}}]-Minibatch[{{integer}}-{{integer}}
- " * {{integer}}; "
# - CrossEntropyWithSoftmax = {{float,tolerance=0.01%}}
# - EvalClassificationError = {{float,tolerance=0.01%}}
- CE = {{float,tolerance=0.05%}}
- Err = {{float,tolerance=0.05%}}
DataParallelASGD training parameters must match for each MPI Rank:
patterns:
- ^MPI Rank {{integer}}
- Starting minibatch loop
# - DataParallelSGD training
# - myRank = {{integer}}
# - numNodes = 4
# - numGradientBits = 32