remove enable mixed precision for ge

example/vgg16_cifar10/run_distribute_train.sh

@@ -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

example/vgg16_cifar10/train.py

@@ -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)