modify some network readme and scripts

official/cv/vit/README.md

@@ -410,7 +410,7 @@ Current batch_ Size can only be set to 1.
 | Parameters                 | Ascend                                                      |
 | -------------------------- | ----------------------------------------------------------- |
 | Model Version              | Vit                                                         |
-| Resource                   | Ascend 910; CPU 2.60GHz, 56cores; Memory 314G; OS Euler2.8  |
+| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8  |
 | uploaded Date              | 08/30/2021 (month/day/year)                                 |
 | MindSpore Version          | 1.3.0                                                       |
 | Dataset                    | 1200k images                                                |

research/audio/tacotron2/src/tacotron2.py

@@ -1223,10 +1223,7 @@ class TrainStepWrap(nn.Cell):
 
         overflow = self.loss_scaling_manager(self.loss_scale, cond)
 
-        if overflow:
-            succ = False
-        else:
-            succ = self.optimizer(grads)
+        if not overflow:
+            self.optimizer(grads)
 
-        ret = (loss, scale_sense)
-        return F.depend(ret, succ)
+        return loss, scale_sense

research/cv/ResNeSt50/README.md

@@ -158,9 +158,9 @@ GPU:
 ```shell
 Ascend:
     # 分布式训练示例（8卡）
-    bash scripts/run_distribute_train.sh RANK_TABLE_FILE OUTPUT_DIR
+    bash run_distribute_train.sh RANK_TABLE_FILE
     # 单机训练
-    bash scripts/run_train.sh OUTPUT_DIR
+    bash run_train.sh OUTPUT_DIR
 GPU:
     # 分布式训练示例（8卡）
     bash scripts/run_distribute_train_gpu.sh [DEVICE_NUM]
@@ -172,9 +172,9 @@ GPU:
 
 ```shell
 # Ascend分布式训练示例（8卡）
-bash scripts/run_distribute_train.sh RANK_TABLE_FILE OUTPUT_DIR
+bash run_distribute_train.sh RANK_TABLE_FILE
 # Ascend单机训练示例
-bash scripts/run_train.sh OUTPUT_DIR
+bash run_train.sh OUTPUT_DIR
 # GPU分布式训练示例（8卡）
 bash scripts/run_distribute_train_gpu.sh 8
 # GPU单机训练示例

research/cv/tsm/README_CN.md

@@ -46,14 +46,11 @@ TSM应用了一种通用而有效的时间转移模块。  时间转移模块将
 
 # 数据集
 
-使用的数据集：[SomethingSometing-v2](https://developer.qualcomm.com/software/ai-datasets/something-something)
-
-- 数据集大小：19.5G，共174个类、220,847段视频
-    - 训练集：16G，共168,913段视频
-    - 测试集：3.5G，共24,777段视频
-- 数据格式：Webm格式视频
-    - 注：数据将在src/tools/gen_label_sthv2.py中生成类标签。
-    - 注：数据将在src/tools/vid2img_sthv2.py中解析成jpg格式图像。
+使用的数据集：[SomethingSometing-v2](https://download.mindspore.cn/dataset/somethingv2.tar)
+
+- 数据集大小：281G，共174个类、220,847段视频
+    - 训练集：共168,913段视频
+    - 测试集：共24,777段视频
 
 # 特性
 

research/nlp/ktnet/scripts/run_record_eval.sh

@@ -15,6 +15,7 @@
 # ============================================================================
 
 PWD_DIR=`pwd`
+scripts_path=$(dirname $0)
 DATA=$1
 LOAD_CHECKPOINT_PATH=$2
 
@@ -22,7 +23,11 @@ BERT_DIR=$DATA/cased_L-24_H-1024_A-16
 WN_CPT_EMBEDDING_PATH=$DATA/KB_embeddings/wn_concept2vec.txt
 NELL_CPT_EMBEDDING_PATH=$DATA/KB_embeddings/nell_concept2vec.txt
 
-python3 run_KTNET_record_eval.py \
+if [ ! -d log ]; then
+    mkdir log
+fi
+
+python3 $scripts_path/../run_KTNET_record_eval.py \
   --device_target "Ascend" \
   --device_id 0 \
   --batch_size 12 \