lichen11 commented on issue #7968: [R] Transfer Learning using VGG-16 URL: https://github.com/apache/incubator-mxnet/issues/7968#issuecomment-356726078 I added gc() quite a few times before training and three times within training. Please see below: gc() model <- mx.model.FeedForward.create( gc(), symbol = new_soft, X = train, eval.data = val, ctx = mx.gpu(0), eval.metric = mx.metric.accuracy, num.round = 1, learning.rate = 0.05, momentum = 0.9, wd = 0.00001, kvstore = "local", array.batch.size = 5, gc(), epoch.end.callback = mx.callback.save.checkpoint("resnet"), #save the params value. batch.end.callback = mx.callback.log.train.metric(150), initializer = mx.init.Xavier(rnd_type='gaussian', factor_type = "in", magnitude = 2), optimizer = "sgd", arg.params = arg_params_new, allow.extra.params = T, aux.params = resnet101$aux.params, gc() )
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