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Fix optimizer parms in fit.py + Don't repeatedly call slow prepare_mk… #7547

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Aug 22, 2017
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Fix optimizer parms in fit.py + Don't repeatedly call slow prepare_mk… #7547

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4 changes: 2 additions & 2 deletions Makefile
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Original file line number Diff line number Diff line change
Expand Up @@ -36,8 +36,8 @@ include $(config)

ifeq ($(USE_MKL2017), 1)
# must run ./prepare_mkl before including mshadow.mk
RETURN_STRING = $(shell ./prepare_mkl.sh $(MKLML_ROOT))
MKLROOT = $(firstword $(RETURN_STRING))
RETURN_STRING := $(shell ./prepare_mkl.sh $(MKLML_ROOT))
MKLROOT := $(firstword $(RETURN_STRING))
export USE_MKLML = $(lastword $(RETURN_STRING))
endif

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13 changes: 10 additions & 3 deletions example/image-classification/common/fit.py
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Expand Up @@ -163,10 +163,17 @@ def fit(args, network, data_loader, **kwargs):
lr_scheduler = lr_scheduler
optimizer_params = {
'learning_rate': lr,
'momentum' : args.mom,
'wd' : args.wd,
'lr_scheduler': lr_scheduler,
'multi_precision': True}
'lr_scheduler': lr_scheduler}

# Add 'multi_precision' parameter only for SGD optimizer
if args.optimizer == 'sgd':
optimizer_params['multi_precision'] = True

# Only a limited number of optimizers have 'momentum' property
has_momentum = {'sgd', 'dcasgd'}
if args.optimizer in has_momentum:
optimizer_params['momentum'] = args.mom

monitor = mx.mon.Monitor(args.monitor, pattern=".*") if args.monitor > 0 else None

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