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default training config update #3

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default training config update #3

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c19f9c6
default training config has long term divergence
beniz Sep 4, 2018
fab842f
renamed preprocOnly into preprocOriginalFluidNetDataOnly
beniz Sep 4, 2018
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6 changes: 3 additions & 3 deletions pytorch/config.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -34,8 +34,8 @@ modelParam:
divL1Lambda: 0
# MSE of long term divergence
# If > 0, implements the Long Term divergence concept from FluidNet
divLongTermLambda: 0
# Time step: default simulation timestep.
divLongTermLambda: 1
# Time step: default simulation timestep only when long term divergence is active.
dt: 0.1
# buoyancyScale : Buoyancy forces scale
# gravityScale : Gravity forces scale
Expand Down Expand Up @@ -96,7 +96,7 @@ modelParam:
numWorkers: 3
# If true, dataset is preprocessed and programs exists.
# Preprocessing is automatic if no previous preproc is detected on current dataset.
preprocOnly: false
preprocOriginalFluidNetDataOnly: false
# printTraining : Debug options for training.
# Prints or shows validation dataset and compares net
# output to GT.
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4 changes: 2 additions & 2 deletions pytorch/fluid_net_train.py
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Expand Up @@ -96,7 +96,7 @@
conf['shuffleTraining'] = not arguments.noShuffle

# Preprocessing dataset message (will exit after preproc)
if (conf['preprocOnly']):
if (conf['preprocOriginalFluidNetDataOnly']):
print('Running preprocessing only')
resume = False

Expand All @@ -106,7 +106,7 @@
tr = lib.FluidNetDataset(conf, 'tr', save_dt=4, resume=resume)
te = lib.FluidNetDataset(conf, 'te', save_dt=4, resume=resume)

if (conf['preprocOnly']):
if (conf['preprocOriginalFluidNetDataOnly']):
sys.exit()

# We create two conf dicts, general params and model params.
Expand Down