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!813 remove enable mixed precision for ge 

Merge pull request !813 from caojian05/mindspore_r0.2_dev
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mindspore-ci-bot 2020-04-28 22:35:16 +08:00 committed by Gitee
parent 24ff160ff0 52a238f4bb
commit 7aaaf1a5c8
2 changed files with 2 additions and 2 deletions
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1
example/vgg16_cifar10/run_distribute_train.sh
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@ -36,6 +36,7 @@ ulimit -u unlimited
export DEVICE_NUM=8
export RANK_SIZE=8
export MINDSPORE_HCCL_CONFIG_PATH=$1
export RANK_TABLE_FILE=$1
for((i=0; i<${DEVICE_NUM}; i++))
do

3
example/vgg16_cifar10/train.py
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@ -83,8 +83,7 @@ if __name__ == '__main__':
lr = lr_steps(0, lr_max=cfg.lr_init, total_epochs=cfg.epoch_size, steps_per_epoch=batch_num)
opt = Momentum(filter(lambda x: x.requires_grad, net.get_parameters()), Tensor(lr), cfg.momentum, weight_decay=cfg.weight_decay)
loss = nn.SoftmaxCrossEntropyWithLogits(sparse=True, reduction='mean', is_grad=False)
model = Model(net, loss_fn=loss, optimizer=opt, metrics={'acc'},
amp_level="O2", keep_batchnorm_fp32=False, loss_scale_manager=None)
model = Model(net, loss_fn=loss, optimizer=opt, metrics={'acc'})
config_ck = CheckpointConfig(save_checkpoint_steps=batch_num * 5, keep_checkpoint_max=cfg.keep_checkpoint_max)
time_cb = TimeMonitor(data_size=batch_num)