fix bug in model zoo for mobilenet

mindspore/model_zoo/mobilenetv2/Readme.md

@@ -133,7 +133,7 @@ result: {'acc': 0.71976314102564111} ckpt=/path/to/checkpoint/mobilenet-200_625.
 
 #### Inference Performance
 
-| Parameters                 | GoogLeNet                     |                           |                      |
+| Parameters                 |                               |                           |                      |
 | -------------------------- | ----------------------------- | ------------------------- | -------------------- |
 | Model Version              | V1                            |                           |                      |
 | Resource                   | Huawei 910                    | NV SMX2 V100-32G          | Huawei 310           |

mindspore/model_zoo/mobilenetv2/eval.py

@@ -36,21 +36,23 @@ args_opt = parser.parse_args()
 
 if __name__ == '__main__':
     config_platform = None
+    net = None
     if args_opt.platform == "Ascend":
         config_platform = config_ascend
         device_id = int(os.getenv('DEVICE_ID'))
         context.set_context(mode=context.GRAPH_MODE, device_target="Ascend",
                             device_id=device_id, save_graphs=False)
+        net = mobilenet_v2(num_classes=config_platform.num_classes, platform="Ascend")
     elif args_opt.platform == "GPU":
         config_platform = config_gpu
         context.set_context(mode=context.GRAPH_MODE,
                             device_target="GPU", save_graphs=False)
+        net = mobilenet_v2(num_classes=config_platform.num_classes, platform="GPU")
     else:
         raise ValueError("Unsupport platform.")
 
     loss = nn.SoftmaxCrossEntropyWithLogits(
         is_grad=False, sparse=True, reduction='mean')
-    net = mobilenet_v2(num_classes=config_platform.num_classes)
 
     if args_opt.platform == "Ascend":
         net.to_float(mstype.float16)

mindspore/model_zoo/mobilenetv2/scripts/run_infer.sh

@@ -52,4 +52,4 @@ python ${BASEPATH}/../eval.py \
         --platform=$1 \
         --dataset_path=$2 \
         --checkpoint_path=$3 \
-        &> infer.log &  # dataset val folder path
+        &> ../infer.log &  # dataset val folder path

mindspore/model_zoo/mobilenetv2/scripts/run_train.sh

@@ -36,13 +36,13 @@ run_ascend()
     fi
     mkdir ../train
     cd ../train || exit
-    python ${BASEPATH}/../launch.py \
+    python ${BASEPATH}/../src/launch.py \
             --nproc_per_node=$2 \
             --visible_devices=$4 \
             --server_id=$3 \
-            --training_script=${BASEPATH}/train.py \
+            --training_script=${BASEPATH}/../train.py \
             --dataset_path=$5 \
-            --platform=$1 &> train.log &  # dataset train folder
+            --platform=$1 &> ../train.log &  # dataset train folder
 }
 
 run_gpu()
@@ -73,7 +73,7 @@ run_gpu()
     python ${BASEPATH}/../train.py \
         --dataset_path=$4 \
         --platform=$1 \
-        &> train.log &  # dataset train folder
+        &> ../train.log &  # dataset train folder
 }
 
 if [ $# -gt 5 ] || [ $# -lt 4 ]

mindspore/model_zoo/mobilenetv2/train.py

@@ -216,7 +216,7 @@ if __name__ == '__main__':
             init()
 
         epoch_size = config_ascend.epoch_size
-        net = mobilenet_v2(num_classes=config_ascend.num_classes)
+        net = mobilenet_v2(num_classes=config_ascend.num_classes, platform="Ascend")
         net.to_float(mstype.float16)
         for _, cell in net.cells_and_names():
             if isinstance(cell, nn.Dense):

mindspore/model_zoo/mobilenetv3/Readme.md

@@ -133,7 +133,7 @@ result: {'acc': 0.71976314102564111} ckpt=/path/to/checkpoint/mobilenet-200_625.
 
 #### Inference Performance
 
-| Parameters                 | GoogLeNet                     |                           |                      |
+| Parameters                 |                               |                           |                      |
 | -------------------------- | ----------------------------- | ------------------------- | -------------------- |
 | Model Version              | V1                            |                           |                      |
 | Resource                   | Huawei 910                    | NV SMX2 V100-32G          | Huawei 310           |

mindspore/model_zoo/mobilenetv3/scripts/run_infer.sh

@@ -42,14 +42,14 @@ export RANK_ID=0
 export RANK_SIZE=1
 if [ -d "eval" ];
 then
-    rm -rf ./eval
+    rm -rf ../eval
 fi
-mkdir ./eval
-cd ./eval || exit
+mkdir ../eval
+cd ../eval || exit
 
 # luanch
-python ${BASEPATH}/eval.py \
+python ${BASEPATH}/../eval.py \
         --platform=$1 \
         --dataset_path=$2 \
         --checkpoint_path=$3 \
-        &> infer.log &  # dataset val folder path
+        &> ../infer.log &  # dataset val folder path

mindspore/model_zoo/mobilenetv3/scripts/run_train.sh

@@ -31,17 +31,17 @@ run_ascend()
     export PYTHONPATH=${BASEPATH}:$PYTHONPATH
     if [ -d "train" ];
     then
-        rm -rf ./train
+        rm -rf ../train
     fi
-    mkdir ./train
-    cd ./train || exit
-    python ${BASEPATH}/launch.py \
+    mkdir ../train
+    cd ../train || exit
+    python ${BASEPATH}/../src/launch.py \
             --nproc_per_node=$2 \
             --visible_devices=$4 \
             --server_id=$3 \
-            --training_script=${BASEPATH}/train.py \
+            --training_script=${BASEPATH}/../train.py \
             --dataset_path=$5 \
-            --platform=$1 &> train.log &  # dataset train folder
+            --platform=$1 &> ../train.log &  # dataset train folder
 }
 
 run_gpu()
@@ -62,17 +62,17 @@ run_gpu()
     export PYTHONPATH=${BASEPATH}:$PYTHONPATH
     if [ -d "train" ];
     then
-        rm -rf ./train
+        rm -rf ../train
     fi
-    mkdir ./train
-    cd ./train || exit
+    mkdir ../train
+    cd ../train || exit
 
     export CUDA_VISIBLE_DEVICES="$3"
     mpirun -n $2 --allow-run-as-root \
-    python ${BASEPATH}/train.py \
+    python ${BASEPATH}/../train.py \
         --dataset_path=$4 \
         --platform=$1 \
-        &> train.log &  # dataset train folder
+        &> ../train.log &  # dataset train folder
 }
 
 if [ $# -gt 5 ] || [ $# -lt 4 ]