!22460 fix bugs in modelzoo

Merge pull request !22460 from gengdongjie/code_docs_fix_issues

model_zoo/research/cv/advanced_east/README.md

@@ -77,8 +77,8 @@ This project is inherited by [huoyijie/AdvancedEAST](https://github.com/huoyijie
   ├── export.py                            # export model for inference
   ├── prepare_data.py                      # exec data preprocessing
   ├── eval.py                              # eval net
-  ├── train.py                             # train net
-  └── train_mindrecord.py                  # train net on user specified mindrecord
+  ├── train.py                             # train net on multi-size input
+  └── train_single_size.py                 # train net on fix-size input
 ```
 
 # [Dataset](#contents)
@@ -140,14 +140,14 @@ python train.py  --device_target="GPU" --is_distributed=0 --device_id=0  > outpu
 - single device with specific size
 
 ```bash
-python train_mindrecord.py  --device_target="Ascend" --is_distributed=0 --device_id=2 --size=256  > output.train.log 2>&1 &
+python train_single_size.py  --device_target="Ascend" --is_distributed=0 --device_id=2 --size=256  > output.train.log 2>&1 &
 ```
 
 - multi Ascends
 
 ```bash
 # running on distributed environment（8p）
-bash scripts/run_distribute_train.sh
+bash run_distribute_train.sh [DATSET_PATH] [RANK_TABLE_FILE]
 ```
 
 The detailed training parameters are in /src/config.py。
@@ -268,4 +268,4 @@ On the default
 
 # [ModelZoo Homepage](#contents)
 
-Please check the official [homepage](https://gitee.com/mindspore/mindspore/tree/master/model_zoo).
+Please check the official [homepage](https://gitee.com/mindspore/mindspore/tree/master/model_zoo).

model_zoo/research/cv/advanced_east/requirement.txt

@@ -1,3 +0,0 @@
-tqdm
-shapely
-opencv

model_zoo/research/cv/advanced_east/requirements.txt

@@ -1,4 +1,5 @@
 numpy
+opencv
 pillow
-tqdm
 shapely
+tqdm

model_zoo/research/cv/advanced_east/scripts/run_distribute_train_ascend.sh

@@ -13,13 +13,14 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-
 PATH1=$1
+PATH2=$2
+
 
 ulimit -u unlimited
-export DEVICE_NUM=2
-export RANK_SIZE=2
-export RANK_TABLE_FILE=$PATH1
+export DEVICE_NUM=8
+export RANK_SIZE=8
+export RANK_TABLE_FILE=$PATH2
 
 for ((i = 0; i < ${DEVICE_NUM}; i++)); do
   export DEVICE_ID=$i
@@ -32,6 +33,6 @@ for ((i = 0; i < ${DEVICE_NUM}; i++)); do
   cd ./train_parallel$i || exit
   echo "start training for rank $RANK_ID, device $DEVICE_ID"
   env >env.log
-  python train_mindrecord.py --device_target Ascend --is_distributed 1 --device_id $i --data_path /disk1/adenew/icpr/advanced-east_448.mindrecord > log.txt 2>&1 &
+  python train_single_size.py --device_target Ascend --is_distributed 1 --device_id $i --data_path $PATH1 > log.txt 2>&1 &
   cd ..
-done
+done

model_zoo/research/cv/advanced_east/scripts/run_standalone_train_ascend.sh

@@ -20,5 +20,5 @@ echo "bash run_standalone_train_ascend.sh"
 echo "for example: bash run_standalone_train_ascend.sh"
 echo "=============================================================================================================="
 
-  python train_mindrecord.py  \
+  python train_single_size.py  \
     --device_target="Ascend" > output.train.log 2>&1 &

model_zoo/research/cv/advanced_east/train.py

@@ -22,16 +22,16 @@ import time
 import ast
 
 from mindspore import context, Model
-from mindspore.communication.management import init, get_group_size, get_rank
-from mindspore.train.callback import ModelCheckpoint, CheckpointConfig, LossMonitor, TimeMonitor
-from mindspore.context import ParallelMode
-from mindspore.train.serialization import load_param_into_net, load_checkpoint
 from mindspore.common import set_seed
+from mindspore.communication.management import init, get_rank, get_group_size
+from mindspore.context import ParallelMode
 from mindspore.nn.optim import AdamWeightDecay
+from mindspore.train.callback import ModelCheckpoint, CheckpointConfig, LossMonitor, TimeMonitor
+from mindspore.train.serialization import load_param_into_net, load_checkpoint
 from src.logger import get_logger
+from src.config import config as cfg
 from src.dataset import load_adEAST_dataset
 from src.model import get_AdvancedEast_net
-from src.config import config as cfg
 
 set_seed(1)
 

model_zoo/research/cv/advanced_east/train_single_size.py

@@ -28,7 +28,6 @@ from mindspore.nn.optim import AdamWeightDecay
 from mindspore.train.callback import ModelCheckpoint, CheckpointConfig, LossMonitor, TimeMonitor
 from mindspore.train.serialization import load_param_into_net, load_checkpoint
 from src.logger import get_logger
-
 from src.config import config as cfg
 from src.dataset import load_adEAST_dataset
 from src.model import get_AdvancedEast_net

model_zoo/research/cv/mobilenetV3_small_x1_0/scripts/run_eval.sh

@@ -19,7 +19,6 @@ DATA_DIR=$2
 PATH_CHECKPOINT=$3
 
 python ./eval.py  \
-    --device_target=Ascend \
     --device_id=$DEVICE_ID \
     --checkpoint_path=$PATH_CHECKPOINT \
     --dataset_path=$DATA_DIR > eval.log 2>&1 &

model_zoo/research/nlp/senta/README_CN.md

@@ -309,4 +309,10 @@ bash run_infer_310.sh [MINDIR_PATH] [DATA_FILE_PATH] [NEED_PREPROCESS] [DEVICE_I
 
 # ModelZoo主页
 
-请浏览官网[主页](https://gitee.com/mindspore/mindspore/tree/master/model_zoo)。
+请浏览官网[主页](https://gitee.com/mindspore/mindspore/tree/master/model_zoo)。
+
+# FAQ
+
+优先参考[ModelZoo FAQ](https://gitee.com/mindspore/mindspore/tree/master/model_zoo#FAQ)来查找一些常见的公共问题。
+
+- **Q: 使用PYNATIVE_MODE发生内存溢出怎么办？** **A**：内存溢出通常是因为PYNATIVE_MODE需要更多的内存， 传入训练参数 --batch_size 18 将 batch size设置为 18 降低内存消耗，可进行网络训练。