!6847 modify shell

Merge pull request !6847 from wukesong/alexnet-shell-modify

model_zoo/official/cv/alexnet/eval.py

@@ -41,6 +41,7 @@ if __name__ == "__main__":
                             path where the trained ckpt file')
     parser.add_argument('--dataset_sink_mode', type=ast.literal_eval,
                         default=True, help='dataset_sink_mode is False or True')
+    parser.add_argument('--device_id', type=int, default=0, help='device id of GPU or Ascend. (Default: 0)')
     args = parser.parse_args()
 
     context.set_context(mode=context.GRAPH_MODE, device_target=args.device_target)

model_zoo/official/cv/alexnet/scripts/run_distribution_ascend.sh

@@ -13,10 +13,10 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-
+# an simple tutorial as follows, more parameters can be setting
 if [ $# != 3 ]
 then
-    echo "Usage: sh run_train.sh [RANK_TABLE_FILE] [cifar10|imagenet] [DATA_PATH]"
+    echo "Usage: sh run_distribution_ascend.sh [RANK_TABLE_FILE] [cifar10|imagenet] [DATA_PATH]"
 exit 1
 fi
 

model_zoo/official/cv/alexnet/scripts/run_standalone_eval_ascend.sh

@@ -13,8 +13,17 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-
 # an simple tutorial as follows, more parameters can be setting
-script_self=$(readlink -f "$0")
+if [ $# != 4 ]
-self_path=$(dirname "${script_self}")
+then
-python -s ${self_path}/../eval.py --device_target="Ascend" > log.txt 2>&1 &
+    echo "Usage: sh run_standalone_eval_ascend.sh [cifar10|imagenet] [DATA_PATH] [CKPT_PATH] [DEVICE_ID]"
+exit 1
+fi
+
+export DATASET_NAME=$1
+export DATA_PATH=$2
+export CKPT_PATH=$3
+export DEVICE_ID=$4
+
+python eval.py --dataset_name=$DATASET_NAME --data_path=$DATA_PATH --ckpt_path=$CKPT_PATH \
+               --device_id=$DEVICE_ID --device_target="Ascend"  > log.txt 2>&1 &

model_zoo/official/cv/alexnet/scripts/run_standalone_eval_gpu.sh

@@ -13,8 +13,17 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-
 # an simple tutorial as follows, more parameters can be setting
-script_self=$(readlink -f "$0")
+if [ $# != 4 ]
-self_path=$(dirname "${script_self}")
+then
-python -s ${self_path}/../eval.py --device_target="GPU" > log.txt 2>&1 &
+    echo "Usage: sh run_standalone_eval_gpu.sh [cifar10|imagenet] [DATA_PATH] [CKPT_PATH] [DEVICE_ID]"
+exit 1
+fi
+
+export DATASET_NAME=$1
+export DATA_PATH=$2
+export CKPT_PATH=$3
+export DEVICE_ID=$4
+
+python eval.py --dataset_name=$DATASET_NAME --data_path=$DATA_PATH --ckpt_path=$CKPT_PATH \
+               --device_id=$DEVICE_ID --device_target="GPU"  > log.txt 2>&1 &

model_zoo/official/cv/alexnet/scripts/run_standalone_train_ascend.sh

@@ -13,11 +13,16 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
+# an simple tutorial as follows, more parameters can be setting
+if [ $# != 3 ]
+then
+    echo "Usage: sh run_standalone_train_ascend.sh [cifar10|imagenet] [DATA_PATH] [DEVICE_ID]"
+exit 1
+fi
 
-export DEVICE_NUM=1
+export DATASET_NAME=$1
-export RANK_SIZE=1
+export DATA_PATH=$2
+export DEVICE_ID=$3
 
-# an simple tutorial, more
+python train.py --dataset_name=$DATASET_NAME --data_path=$DATA_PATH \
-script_self=$(readlink -f "$0")
+               --device_id=$DEVICE_ID --device_target="Ascend"  > log.txt 2>&1 &
-self_path=$(dirname "${script_self}")
-python -s ${self_path}/../train.py --device_target="Ascend" > log.txt 2>&1 &

model_zoo/official/cv/alexnet/scripts/run_standalone_train_gpu.sh

@@ -13,11 +13,16 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-
-export DEVICE_NUM=1
-export RANK_SIZE=1
-
 # an simple tutorial as follows, more parameters can be setting
-script_self=$(readlink -f "$0")
+if [ $# != 3 ]
-self_path=$(dirname "${script_self}")
+then
-python -s ${self_path}/../train.py --device_target="GPU" > log.txt 2>&1 &
+    echo "Usage: sh run_standalone_train_gpu.sh [cifar10|imagenet] [DATA_PATH] [DEVICE_ID]"
+exit 1
+fi
+
+export DATASET_NAME=$1
+export DATA_PATH=$2
+export DEVICE_ID=$3
+
+python train.py --dataset_name=$DATASET_NAME --data_path=$DATA_PATH \
+               --device_id=$DEVICE_ID --device_target="GPU"  > log.txt 2>&1 &

model_zoo/official/cv/alexnet/train.py

@@ -51,8 +51,7 @@ if __name__ == "__main__":
                             path where the trained ckpt file')
     parser.add_argument('--dataset_sink_mode', type=ast.literal_eval,
                         default=True, help='dataset_sink_mode is False or True')
-
+    parser.add_argument('--device_id', type=int, default=0, help='device id of GPU or Ascend. (Default: 0)')
-    parser.add_argument('--device_id', type=int, default=0, help='device id of GPU or Ascend. (Default: None)')
     args = parser.parse_args()
 
     if args.dataset_name == "cifar10":