!11320 [ModelZoo]fix bgcf train and eval device id bug

From: @zhan_ke
Reviewed-by: @c_34,@oacjiewen
Signed-off-by: @c_34

model_zoo/official/gnn/bgcf/eval.py

@@ -15,7 +15,6 @@
 """
 BGCF evaluation script.
 """
-import os
 import datetime
 
 import mindspore.context as context
@@ -78,12 +77,11 @@ def evaluation():
 
 
 if __name__ == "__main__":
+    parser = parser_args()
     context.set_context(mode=context.GRAPH_MODE,
                         device_target="Ascend",
-                        save_graphs=False)
-
-    parser = parser_args()
-    os.environ['DEVICE_ID'] = parser.device
+                        save_graphs=False,
+                        device_id=int(parser.device))
 
     train_graph, test_graph, sampled_graph_list = load_graph(parser.datapath)
     test_graph_dataset = TestGraphDataset(train_graph, sampled_graph_list, num_samples=parser.raw_neighs,

model_zoo/official/gnn/bgcf/scripts/run_eval_ascend.sh

@@ -17,7 +17,6 @@
 ulimit -u unlimited
 export DEVICE_NUM=1
 export RANK_SIZE=$DEVICE_NUM
-export DEVICE_ID=0
 export RANK_ID=0
 
 if [ -d "eval" ];
@@ -31,7 +30,7 @@ cp *.sh ./eval
 cp -r ../src ./eval
 cd ./eval || exit
 env > env.log
-echo "start evaluation for device $DEVICE_ID"
+echo "start evaluation"
 
 python eval.py --datapath=../data_mr --ckptpath=../ckpts &> log &
 

model_zoo/official/gnn/bgcf/scripts/run_train_ascend.sh

@@ -17,7 +17,6 @@
 ulimit -u unlimited
 export DEVICE_NUM=1
 export RANK_SIZE=$DEVICE_NUM
-export DEVICE_ID=0
 export RANK_ID=0
 
 if [ -d "train" ];
@@ -37,7 +36,7 @@ cp *.sh ./train
 cp -r ../src ./train
 cd ./train || exit
 env > env.log
-echo "start training for device $DEVICE_ID"
+echo "start training"
 
 python train.py --datapath=../data_mr --ckptpath=../ckpts &> log &
 

model_zoo/official/gnn/bgcf/train.py

@@ -105,7 +105,7 @@ if __name__ == "__main__":
     context.set_context(mode=context.GRAPH_MODE,
                         device_target="Ascend",
                         save_graphs=False,
-                        device_id=parser.device)
+                        device_id=int(parser.device))
 
     train_graph, _, sampled_graph_list = load_graph(parser.datapath)
     train_ds = create_dataset(train_graph, sampled_graph_list, parser.workers, batch_size=parser.batch_pairs,