From b920f92d39b36ac2a9ecd89a14f0950c5640d5bd Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=82=A2=E6=96=87=E6=A0=8B?= <13298410087@163.com>
Date: Fri, 25 Mar 2022 01:42:47 +0000
Subject: [PATCH 01/33] dynamic_input

---
 .../test/train_full_1p.sh                            |  5 +++++
 .../test/train_performance_1p.sh                     |  5 +++++
 .../detection/SSD-VGG_ID1619_for_TensorFlow/train.py | 12 ++++++++++--
 3 files changed, 20 insertions(+), 2 deletions(-)

diff --git a/TensorFlow/built-in/cv/detection/SSD-VGG_ID1619_for_TensorFlow/test/train_full_1p.sh b/TensorFlow/built-in/cv/detection/SSD-VGG_ID1619_for_TensorFlow/test/train_full_1p.sh
index fe078086b..b36cd32d1 100644
--- a/TensorFlow/built-in/cv/detection/SSD-VGG_ID1619_for_TensorFlow/test/train_full_1p.sh
+++ b/TensorFlow/built-in/cv/detection/SSD-VGG_ID1619_for_TensorFlow/test/train_full_1p.sh
@@ -17,6 +17,7 @@ learning_rate=
 
 #参数配置
 data_path=$cur_path
+dynamic_input=""
 
 if [[ $1 == --help || $1 == --h ]];then
    echo "usage:./train_full_1p.sh --data_path=../"
@@ -27,6 +28,8 @@ for para in $*
 do
    if [[ $para == --data_path* ]];then
       data_path=`echo ${para#*=}`
+   elif [[ $para == --dynamic_input* ]];then
+      dynamic_input=`echo ${para#*=}`
    fi
 done
 
@@ -62,6 +65,7 @@ nohup python3 train.py \
        --epochs ${train_epochs} \
        --data-dir $data_path/pascal-voc \
        --vgg-dir $data_path/vgg_graph \
+       --dynamic_input=${dynamic_input} \
 	   "${@:1}"  > $cur_path/test/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.log 2>&1 &
 wait
 
@@ -117,3 +121,4 @@ echo "TrainingTime = ${TrainingTime}" >> $cur_path/test/output/$ASCEND_DEVICE_ID
 echo "ActualLoss = ${ActualLoss}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "TrainAccuracy = ${train_accuracy}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "DynamicInput = ${dynamic_input}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
\ No newline at end of file
diff --git a/TensorFlow/built-in/cv/detection/SSD-VGG_ID1619_for_TensorFlow/test/train_performance_1p.sh b/TensorFlow/built-in/cv/detection/SSD-VGG_ID1619_for_TensorFlow/test/train_performance_1p.sh
index 0004076aa..802d8e82f 100644
--- a/TensorFlow/built-in/cv/detection/SSD-VGG_ID1619_for_TensorFlow/test/train_performance_1p.sh
+++ b/TensorFlow/built-in/cv/detection/SSD-VGG_ID1619_for_TensorFlow/test/train_performance_1p.sh
@@ -19,6 +19,7 @@ learning_rate=
 
 #参数配置
 data_path=$cur_path
+dynamic_input=""
 
 if [[ $1 == --help || $1 == --h ]];then
    echo "usage:./train_performance_1p.sh --data_path=../"
@@ -29,6 +30,8 @@ for para in $*
 do
    if [[ $para == --data_path* ]];then
       data_path=`echo ${para#*=}`
+   elif [[ $para == --dynamic_input* ]];then
+      dynamic_input=`echo ${para#*=}`      
    fi
 done
 
@@ -64,6 +67,7 @@ nohup python3 train.py \
        --epochs ${train_epochs} \
        --data-dir $data_path/pascal-voc \
        --vgg-dir $data_path/vgg_graph \
+       --dynamic_input=${dynamic_input} \
 	   "${@:1}"  > $cur_path/test/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.log 2>&1 &
 wait
 
@@ -118,3 +122,4 @@ echo "TrainingTime = ${TrainingTime}" >> $cur_path/test/output/$ASCEND_DEVICE_ID
 echo "ActualLoss = ${ActualLoss}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "TrainAccuracy = ${train_accuracy}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "DynamicInput = ${dynamic_input}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
\ No newline at end of file
diff --git a/TensorFlow/built-in/cv/detection/SSD-VGG_ID1619_for_TensorFlow/train.py b/TensorFlow/built-in/cv/detection/SSD-VGG_ID1619_for_TensorFlow/train.py
index 10fd58af0..822a1beaf 100644
--- a/TensorFlow/built-in/cv/detection/SSD-VGG_ID1619_for_TensorFlow/train.py
+++ b/TensorFlow/built-in/cv/detection/SSD-VGG_ID1619_for_TensorFlow/train.py
@@ -107,7 +107,9 @@ def main():
     parser.add_argument('--dump_path', type=str, default='/home/HwHiAiUser/',
                         help='dump path')
     parser.add_argument('--data_path', type=str, default='./',
-                        help='data path')                        
+                        help='data path') 
+    parser.add_argument("--dynamic_input", type=str, default='1', 
+                        help="--dynamic_input=1 Use fuzzy compilation. --dynamic_input=lazy_recompile Compile using lazy static graph")                                               
     #****** npu modify end ******
 
     args = parser.parse_args()
@@ -130,6 +132,7 @@ def main():
     print('[i] Overflow dump flag:    ', args.over_dump)
     print('[i] data dump flag:    ', args.data_dump)
     print('[i] Dump path:    ', args.dump_path)
+    print('[i] dynamic_input:    ', args.dynamic_input)
     #****** npu modify end ******
     #---------------------------------------------------------------------------
     # Find an existing checkpoint
@@ -205,7 +208,12 @@ def main():
     custom_op.name = "NpuOptimizer"
     custom_op.parameter_map["precision_mode"].s = tf.compat.as_bytes("allow_mix_precision")
     custom_op.parameter_map["dynamic_input"].b = 1
-    custom_op.parameter_map["dynamic_graph_execute_mode"].s = tf.compat.as_bytes("lazy_recompile")
+    if args.dynamic_input == "lazy_recompile":
+        custom_op.parameter_map["dynamic_graph_execute_mode"].s = tf.compat.as_bytes("lazy_recompile")
+    elif args.dynamic_input == "1": 
+        custom_op.parameter_map["dynamic_graph_execute_mode"].s = tf.compat.as_bytes("dynamic_execute")
+    else:
+        print("Enter correct compilation parameters.")
     custom_op.parameter_map["use_off_line"].b = True
     custom_op.parameter_map["precision_mode"].s = tf.compat.as_bytes(args.precision_mode)
     if args.over_dump:
-- 
Gitee


From 94c32275e574bc3484bf7204459b8fc9d9108696 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=82=A2=E6=96=87=E6=A0=8B?= <13298410087@163.com>
Date: Fri, 25 Mar 2022 02:12:57 +0000
Subject: [PATCH 02/33] dynamic_input

---
 .../SSD-VGG_ID1619_for_TensorFlow/test/train_full_1p.sh         | 2 +-
 .../SSD-VGG_ID1619_for_TensorFlow/test/train_performance_1p.sh  | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/TensorFlow/built-in/cv/detection/SSD-VGG_ID1619_for_TensorFlow/test/train_full_1p.sh b/TensorFlow/built-in/cv/detection/SSD-VGG_ID1619_for_TensorFlow/test/train_full_1p.sh
index b36cd32d1..64c3a01c3 100644
--- a/TensorFlow/built-in/cv/detection/SSD-VGG_ID1619_for_TensorFlow/test/train_full_1p.sh
+++ b/TensorFlow/built-in/cv/detection/SSD-VGG_ID1619_for_TensorFlow/test/train_full_1p.sh
@@ -65,7 +65,7 @@ nohup python3 train.py \
        --epochs ${train_epochs} \
        --data-dir $data_path/pascal-voc \
        --vgg-dir $data_path/vgg_graph \
-       --dynamic_input=${dynamic_input} \
+       --dynamic_input ${dynamic_input} \
 	   "${@:1}"  > $cur_path/test/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.log 2>&1 &
 wait
 
diff --git a/TensorFlow/built-in/cv/detection/SSD-VGG_ID1619_for_TensorFlow/test/train_performance_1p.sh b/TensorFlow/built-in/cv/detection/SSD-VGG_ID1619_for_TensorFlow/test/train_performance_1p.sh
index 802d8e82f..d4f9f7bdf 100644
--- a/TensorFlow/built-in/cv/detection/SSD-VGG_ID1619_for_TensorFlow/test/train_performance_1p.sh
+++ b/TensorFlow/built-in/cv/detection/SSD-VGG_ID1619_for_TensorFlow/test/train_performance_1p.sh
@@ -67,7 +67,7 @@ nohup python3 train.py \
        --epochs ${train_epochs} \
        --data-dir $data_path/pascal-voc \
        --vgg-dir $data_path/vgg_graph \
-       --dynamic_input=${dynamic_input} \
+       --dynamic_input ${dynamic_input} \
 	   "${@:1}"  > $cur_path/test/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.log 2>&1 &
 wait
 
-- 
Gitee


From 2228dfd07f769a773ad4b0bb6408a9290926ad8f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=82=A2=E6=96=87=E6=A0=8B?= <13298410087@163.com>
Date: Fri, 25 Mar 2022 02:41:06 +0000
Subject: [PATCH 03/33] dynamic_input

---
 .../SSD-VGG_ID1619_for_TensorFlow/test/train_full_1p.sh         | 2 +-
 .../SSD-VGG_ID1619_for_TensorFlow/test/train_performance_1p.sh  | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/TensorFlow/built-in/cv/detection/SSD-VGG_ID1619_for_TensorFlow/test/train_full_1p.sh b/TensorFlow/built-in/cv/detection/SSD-VGG_ID1619_for_TensorFlow/test/train_full_1p.sh
index 64c3a01c3..105c5916b 100644
--- a/TensorFlow/built-in/cv/detection/SSD-VGG_ID1619_for_TensorFlow/test/train_full_1p.sh
+++ b/TensorFlow/built-in/cv/detection/SSD-VGG_ID1619_for_TensorFlow/test/train_full_1p.sh
@@ -17,7 +17,7 @@ learning_rate=
 
 #参数配置
 data_path=$cur_path
-dynamic_input=""
+dynamic_input="1"
 
 if [[ $1 == --help || $1 == --h ]];then
    echo "usage:./train_full_1p.sh --data_path=../"
diff --git a/TensorFlow/built-in/cv/detection/SSD-VGG_ID1619_for_TensorFlow/test/train_performance_1p.sh b/TensorFlow/built-in/cv/detection/SSD-VGG_ID1619_for_TensorFlow/test/train_performance_1p.sh
index d4f9f7bdf..2c004af3b 100644
--- a/TensorFlow/built-in/cv/detection/SSD-VGG_ID1619_for_TensorFlow/test/train_performance_1p.sh
+++ b/TensorFlow/built-in/cv/detection/SSD-VGG_ID1619_for_TensorFlow/test/train_performance_1p.sh
@@ -19,7 +19,7 @@ learning_rate=
 
 #参数配置
 data_path=$cur_path
-dynamic_input=""
+dynamic_input="1"
 
 if [[ $1 == --help || $1 == --h ]];then
    echo "usage:./train_performance_1p.sh --data_path=../"
-- 
Gitee


From a79821cdedba7f0993ea24fa7214e7e061c7990b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=82=A2=E6=96=87=E6=A0=8B?= <13298410087@163.com>
Date: Fri, 25 Mar 2022 03:12:48 +0000
Subject: [PATCH 04/33] dynamic_input

---
 .../2D_Unet_ID2337_for_TensorFlow/main.py                | 8 +++++++-
 .../2D_Unet_ID2337_for_TensorFlow/test/train_full_1p.sh  | 9 +++++++--
 .../test/train_performance_1p.sh                         | 9 +++++++--
 3 files changed, 21 insertions(+), 5 deletions(-)

diff --git a/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/main.py b/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/main.py
index f52a29fe1..659c8a97d 100644
--- a/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/main.py
+++ b/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/main.py
@@ -39,6 +39,7 @@ parser.add_argument('--epochs', default=5, type=int)
 parser.add_argument('--train_data_path', default='./data/membrane/train')
 parser.add_argument('--test_data_path', default='./data/membrane/test')
 parser.add_argument('--predict_data_path', default='./data/membrane/predict')
+parser.add_argument("--dynamic_input", type=str, default='1', help="--dynamic_input=1 Use fuzzy compilation. --dynamic_input=lazy_recompile Compile using lazy static graph")
 args = parser.parse_args()
 
 def main():
@@ -66,7 +67,12 @@ if __name__ == '__main__':
     custom_op.name = "NpuOptimizer"
     custom_op.parameter_map["precision_mode"].s = tf.compat.as_bytes("allow_mix_precision")
     custom_op.parameter_map["dynamic_input"].b = 1
-    custom_op.parameter_map["dynamic_graph_execute_mode"].s = tf.compat.as_bytes("lazy_recompile")
+    if args.dynamic_input == "lazy_recompile":
+        custom_op.parameter_map["dynamic_graph_execute_mode"].s = tf.compat.as_bytes("lazy_recompile")
+    elif args.dynamic_input == "1": 
+        custom_op.parameter_map["dynamic_graph_execute_mode"].s = tf.compat.as_bytes("dynamic_execute")
+    else:
+        print("Enter correct compilation parameters.")
     npu_keras_sess = set_keras_session_npu_config(config=global_config)
     # ***** npu modify end *****
     main()
diff --git a/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/test/train_full_1p.sh b/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/test/train_full_1p.sh
index 315bbaa30..1b4179dae 100644
--- a/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/test/train_full_1p.sh
+++ b/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/test/train_full_1p.sh
@@ -18,6 +18,7 @@ learning_rate=
 
 #参数配置
 data_path=""
+dynamic_input="1"
 
 if [[ $1 == --help || $1 == --h ]];then
    echo "usage:./train_full_1p.sh --data_path=./datasets"
@@ -28,6 +29,8 @@ for para in $*
 do
    if [[ $para == --data_path* ]];then
       data_path=`echo ${para#*=}`
+   elif [[ $para == --dynamic_input* ]];then
+      dynamic_input=`echo ${para#*=}`       
    fi
 done
 
@@ -51,7 +54,8 @@ start=$(date +%s)
 python3 main.py --epochs=${train_epochs} \
                 --train_data_path=${data_path}/data/membrane/train \
                 --test_data_path=${data_path}/data/membrane/test \
-                --predict_data_path=${cur_path}/test/predict > $cur_path/test/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.log 2>&1 &
+                --predict_data_path=${cur_path}/test/predict \
+                --dynamic_input ${dynamic_input} > $cur_path/test/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.log 2>&1 &
 wait
 
 end=$(date +%s)
@@ -109,4 +113,5 @@ echo "ActualFPS = ${ActualFPS}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${Cas
 echo "TrainingTime = ${TrainingTime}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "TrainAccuracy = ${train_accuracy}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "ActualLoss = ${ActualLoss}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
-echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
\ No newline at end of file
+echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "DynamicInput = ${dynamic_input}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
\ No newline at end of file
diff --git a/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/test/train_performance_1p.sh b/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/test/train_performance_1p.sh
index fef0301de..88b902cb7 100644
--- a/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/test/train_performance_1p.sh
+++ b/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/test/train_performance_1p.sh
@@ -18,6 +18,7 @@ learning_rate=
 
 #参数配置
 data_path=""
+dynamic_input="1"
 
 if [[ $1 == --help || $1 == --h ]];then
    echo "usage:./train_performance_1p.sh --data_path=./datasets"
@@ -28,6 +29,8 @@ for para in $*
 do
    if [[ $para == --data_path* ]];then
       data_path=`echo ${para#*=}`
+   elif [[ $para == --dynamic_input* ]];then
+      dynamic_input=`echo ${para#*=}`      
    fi
 done
 
@@ -51,7 +54,8 @@ start=$(date +%s)
 python3 main.py --epochs=${train_epochs} \
                 --train_data_path=${data_path}/data/membrane/train \
                 --test_data_path=${data_path}/data/membrane/test \
-                --predict_data_path=${cur_path}/test/predict > $cur_path/test/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.log 2>&1 &
+                --predict_data_path=${cur_path}/test/predict \
+                --dynamic_input ${dynamic_input} > $cur_path/test/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.log 2>&1 &
 wait
 
 end=$(date +%s)
@@ -109,4 +113,5 @@ echo "ActualFPS = ${ActualFPS}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${Cas
 echo "TrainingTime = ${TrainingTime}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "TrainAccuracy = ${train_accuracy}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "ActualLoss = ${ActualLoss}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
-echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
\ No newline at end of file
+echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "DynamicInput = ${dynamic_input}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
\ No newline at end of file
-- 
Gitee


From b5f1027c933efd1e3390bb2a2f8f2d7612233c8c Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=82=A2=E6=96=87=E6=A0=8B?= <13298410087@163.com>
Date: Fri, 25 Mar 2022 07:21:51 +0000
Subject: [PATCH 05/33] dynamic_input

---
 .../cv/ADAGAN_ID2115_for_TensorFlow/adagan_gmm.py        | 1 +
 .../contrib/cv/ADAGAN_ID2115_for_TensorFlow/gan.py       | 7 ++++++-
 .../ADAGAN_ID2115_for_TensorFlow/test/train_full_1p.sh   | 8 ++++++--
 .../test/train_performance_1p.sh                         | 9 +++++++--
 4 files changed, 20 insertions(+), 5 deletions(-)

diff --git a/TensorFlow/contrib/cv/ADAGAN_ID2115_for_TensorFlow/adagan_gmm.py b/TensorFlow/contrib/cv/ADAGAN_ID2115_for_TensorFlow/adagan_gmm.py
index bd236179e..378f62dd0 100644
--- a/TensorFlow/contrib/cv/ADAGAN_ID2115_for_TensorFlow/adagan_gmm.py
+++ b/TensorFlow/contrib/cv/ADAGAN_ID2115_for_TensorFlow/adagan_gmm.py
@@ -66,6 +66,7 @@ flags.DEFINE_bool("unrolled", True, "Use unrolled GAN training [True]")
 flags.DEFINE_bool("is_bagging", False, "Do we want to use bagging instead of adagan? [False]")
 flags.DEFINE_string("obs_dir", "obs://test-modelartsxc/LOG", "obs result path, not need on gpu and apulis platform")
 flags.DEFINE_string("result", "/home/ma-user/modelarts/user-job-dir", "The result directory where the model checkpoints will be written.")
+flags.DEFINE_integer("--dynamic_input", '1', "--dynamic_input=1 Use fuzzy compilation. --dynamic_input=lazy_recompile Compile using lazy static graph")
 FLAGS = flags.FLAGS
 #勿注释也勿删
 print('epochs',FLAGS.epochs)
diff --git a/TensorFlow/contrib/cv/ADAGAN_ID2115_for_TensorFlow/gan.py b/TensorFlow/contrib/cv/ADAGAN_ID2115_for_TensorFlow/gan.py
index 7c302bfcc..8ea87113b 100644
--- a/TensorFlow/contrib/cv/ADAGAN_ID2115_for_TensorFlow/gan.py
+++ b/TensorFlow/contrib/cv/ADAGAN_ID2115_for_TensorFlow/gan.py
@@ -58,7 +58,12 @@ class Gan(object):
         custom_op = config.graph_options.rewrite_options.custom_optimizers.add()
         custom_op.name = "NpuOptimizer"
         custom_op.parameter_map["dynamic_input"].b = True
-        custom_op.parameter_map["dynamic_graph_execute_mode"].s = tf.compat.as_bytes("lazy_recompile")
+        if args.dynamic_input == "lazy_recompile":
+            custom_op.parameter_map["dynamic_graph_execute_mode"].s = tf.compat.as_bytes("lazy_recompile")
+        elif args.dynamic_input == "1": 
+            custom_op.parameter_map["dynamic_graph_execute_mode"].s = tf.compat.as_bytes("dynamic_execute")
+        else:
+            print("Enter correct compilation parameters.")
         config.graph_options.rewrite_options.remapping = RewriterConfig.OFF  # 必须显式关闭remap
         run_config = NPURunConfig(enable_data_pre_proc=False)
 
diff --git a/TensorFlow/contrib/cv/ADAGAN_ID2115_for_TensorFlow/test/train_full_1p.sh b/TensorFlow/contrib/cv/ADAGAN_ID2115_for_TensorFlow/test/train_full_1p.sh
index c120d0eeb..54281fe46 100644
--- a/TensorFlow/contrib/cv/ADAGAN_ID2115_for_TensorFlow/test/train_full_1p.sh
+++ b/TensorFlow/contrib/cv/ADAGAN_ID2115_for_TensorFlow/test/train_full_1p.sh
@@ -13,6 +13,7 @@ RANK_ID_START=0
 # 数据集路径,保持为空,不需要修改
 data_path=''
 ckpt_path=''
+dynamic_input="1"
 
 #设置默认日志级别,不需要修改
 export ASCEND_GLOBAL_LOG_LEVEL=3
@@ -78,6 +79,8 @@ do
 
     elif [[ $para == --ckpt_path* ]];then
         ckpt_path=`echo ${para#*=}`
+   elif [[ $para == --dynamic_input* ]];then
+      dynamic_input=`echo ${para#*=}`          
     fi
 done
 
@@ -111,7 +114,7 @@ do
 
     #执行训练脚本，以下传参不需要修改，其他需要模型审视修改
 
-    python3 adagan_gmm.py > ${cur_path}test/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1
+    python3 adagan_gmm.py --dynamic_input ${dynamic_input} > ${cur_path}test/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1
 
 
 done 
@@ -156,4 +159,5 @@ echo "ActualFPS = ${ActualFPS}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${Cas
 echo "TrainingTime = ${TrainingTime}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "ActualLoss = ${ActualLoss}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "TrainAccuracy = ${train_accuracy}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
-echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
\ No newline at end of file
+echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "DynamicInput = ${dynamic_input}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
\ No newline at end of file
diff --git a/TensorFlow/contrib/cv/ADAGAN_ID2115_for_TensorFlow/test/train_performance_1p.sh b/TensorFlow/contrib/cv/ADAGAN_ID2115_for_TensorFlow/test/train_performance_1p.sh
index 1bbb9a1da..a96512fac 100644
--- a/TensorFlow/contrib/cv/ADAGAN_ID2115_for_TensorFlow/test/train_performance_1p.sh
+++ b/TensorFlow/contrib/cv/ADAGAN_ID2115_for_TensorFlow/test/train_performance_1p.sh
@@ -13,6 +13,7 @@ RANK_ID_START=0
 # 数据集路径,保持为空,不需要修改
 data_path=''
 ckpt_path=''
+dynamic_input="1"
 
 #设置默认日志级别,不需要修改
 export ASCEND_GLOBAL_LOG_LEVEL=3
@@ -78,6 +79,8 @@ do
 
     elif [[ $para == --ckpt_path* ]];then
         ckpt_path=`echo ${para#*=}`
+   elif [[ $para == --dynamic_input* ]];then
+      dynamic_input=`echo ${para#*=}`         
     fi
 done
 
@@ -113,7 +116,8 @@ do
 
     python3 adagan_gmm.py \
 	--epochs=${train_epochs} \
-	--steps=${train_steps} > ${cur_path}test/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1
+	--steps=${train_steps} \
+    --dynamic_input ${dynamic_input} > ${cur_path}test/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1
 
 
 done 
@@ -158,4 +162,5 @@ echo "ActualFPS = ${ActualFPS}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${Cas
 echo "TrainingTime = ${TrainingTime}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "ActualLoss = ${ActualLoss}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "TrainAccuracy = ${train_accuracy}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
-echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
\ No newline at end of file
+echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "DynamicInput = ${dynamic_input}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
\ No newline at end of file
-- 
Gitee


From 9bc7931c2ad4dd230e45d3bfc96c973ac04e743c Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=82=A2=E6=96=87=E6=A0=8B?= <13298410087@163.com>
Date: Fri, 25 Mar 2022 07:57:10 +0000
Subject: [PATCH 06/33] dynamic_input

---
 .../contrib/cv/ADAGAN_ID2115_for_TensorFlow/adagan_gmm.py       | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/TensorFlow/contrib/cv/ADAGAN_ID2115_for_TensorFlow/adagan_gmm.py b/TensorFlow/contrib/cv/ADAGAN_ID2115_for_TensorFlow/adagan_gmm.py
index 378f62dd0..285ac3e7c 100644
--- a/TensorFlow/contrib/cv/ADAGAN_ID2115_for_TensorFlow/adagan_gmm.py
+++ b/TensorFlow/contrib/cv/ADAGAN_ID2115_for_TensorFlow/adagan_gmm.py
@@ -66,7 +66,7 @@ flags.DEFINE_bool("unrolled", True, "Use unrolled GAN training [True]")
 flags.DEFINE_bool("is_bagging", False, "Do we want to use bagging instead of adagan? [False]")
 flags.DEFINE_string("obs_dir", "obs://test-modelartsxc/LOG", "obs result path, not need on gpu and apulis platform")
 flags.DEFINE_string("result", "/home/ma-user/modelarts/user-job-dir", "The result directory where the model checkpoints will be written.")
-flags.DEFINE_integer("--dynamic_input", '1', "--dynamic_input=1 Use fuzzy compilation. --dynamic_input=lazy_recompile Compile using lazy static graph")
+flags.DEFINE_integer("dynamic_input", '1', "--dynamic_input=1 Use fuzzy compilation. --dynamic_input=lazy_recompile Compile using lazy static graph")
 FLAGS = flags.FLAGS
 #勿注释也勿删
 print('epochs',FLAGS.epochs)
-- 
Gitee


From c5351861f0071bf71497505cd8388f67d4bcaa09 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=82=A2=E6=96=87=E6=A0=8B?= <13298410087@163.com>
Date: Fri, 25 Mar 2022 08:09:34 +0000
Subject: [PATCH 07/33] dynamic_input

---
 .../contrib/cv/ADAGAN_ID2115_for_TensorFlow/adagan_gmm.py       | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/TensorFlow/contrib/cv/ADAGAN_ID2115_for_TensorFlow/adagan_gmm.py b/TensorFlow/contrib/cv/ADAGAN_ID2115_for_TensorFlow/adagan_gmm.py
index 285ac3e7c..627bed38a 100644
--- a/TensorFlow/contrib/cv/ADAGAN_ID2115_for_TensorFlow/adagan_gmm.py
+++ b/TensorFlow/contrib/cv/ADAGAN_ID2115_for_TensorFlow/adagan_gmm.py
@@ -66,7 +66,6 @@ flags.DEFINE_bool("unrolled", True, "Use unrolled GAN training [True]")
 flags.DEFINE_bool("is_bagging", False, "Do we want to use bagging instead of adagan? [False]")
 flags.DEFINE_string("obs_dir", "obs://test-modelartsxc/LOG", "obs result path, not need on gpu and apulis platform")
 flags.DEFINE_string("result", "/home/ma-user/modelarts/user-job-dir", "The result directory where the model checkpoints will be written.")
-flags.DEFINE_integer("dynamic_input", '1', "--dynamic_input=1 Use fuzzy compilation. --dynamic_input=lazy_recompile Compile using lazy static graph")
 FLAGS = flags.FLAGS
 #勿注释也勿删
 print('epochs',FLAGS.epochs)
@@ -176,6 +175,7 @@ if __name__ == '__main__':
     parser.add_argument("--data_url", type=str, default="/test-modelartsxc/dataset/train")
     parser.add_argument("--modelarts_data_dir", type=str, default="/cache/dataset/train")
     parser.add_argument("--modelarts_result_dir", type=str, default="/cache/result")
+    parser.add_argument("--dynamic_input", type=str, default='1', help="--dynamic_input=1 Use fuzzy compilation. --dynamic_input=lazy_recompile Compile using lazy static graph") 
     config, unparsed = parser.parse_known_args()
     while len(sys.argv) > 1:
         sys.argv.pop()
-- 
Gitee


From 83e9a98b9556b9e3319b2d64608f1310666aca5c Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=82=A2=E6=96=87=E6=A0=8B?= <13298410087@163.com>
Date: Mon, 28 Mar 2022 01:53:44 +0000
Subject: [PATCH 08/33] dynamic_input

---
 .../Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py    | 8 +++++++-
 .../test/train_full_1p.sh                                 | 8 ++++++--
 .../test/train_performance_1p.sh                          | 8 ++++++--
 3 files changed, 19 insertions(+), 5 deletions(-)

diff --git a/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py b/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py
index 46f51c5a8..f7163bb01 100644
--- a/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py
+++ b/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py
@@ -65,6 +65,7 @@ def parse_args():
 	############################add train_data_path##################################
 	parser.add_argument('--parentPath', type=str, default='./CACD2000_Crop/', help='image path')
 	parser.add_argument('--epochs', type=int, default=100, help='NUM_EPOCHS')
+    parser.add_argument("--dynamic_input", type=str, default='1', help="--dynamic_input=1 Use fuzzy compilation. --dynamic_input=lazy_recompile Compile using lazy static graph") 
 	return parser.parse_args()
 args = parse_args()
 
@@ -145,7 +146,12 @@ def Train(epochs=100):
     custom_op = global_config.graph_options.rewrite_options.custom_optimizers.add()
     custom_op.name = "NpuOptimizer"
     custom_op.parameter_map["dynamic_input"].b = 1
-    custom_op.parameter_map["dynamic_graph_execute_mode"].s = tf.compat.as_bytes("lazy_recompile")
+    if args.dynamic_input == "lazy_recompile":
+        custom_op.parameter_map["dynamic_graph_execute_mode"].s = tf.compat.as_bytes("lazy_recompile")
+    elif args.dynamic_input == "1": 
+        custom_op.parameter_map["dynamic_graph_execute_mode"].s = tf.compat.as_bytes("dynamic_execute")
+    else:
+        print("Enter correct compilation parameters.")
     global_config.graph_options.rewrite_options.remapping = RewriterConfig.OFF
     global_config.graph_options.rewrite_options.memory_optimization = RewriterConfig.OFF
     #with tf.Session() as sess:
diff --git a/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/test/train_full_1p.sh b/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/test/train_full_1p.sh
index 33673edf9..2c86cd50a 100644
--- a/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/test/train_full_1p.sh
+++ b/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/test/train_full_1p.sh
@@ -20,6 +20,7 @@ learning_rate=
 
 #参数配置
 data_path=""
+dynamic_input="1"
 #work_dir="$cur_path/estimator_working_dir"
 #export_path="$cur_path/outputs/models/000001-first_generation"
 
@@ -32,6 +33,8 @@ for para in $*
 do
    if [[ $para == --data_path* ]];then
       data_path=`echo ${para#*=}`
+   elif [[ $para == --dynamic_input* ]];then
+      dynamic_input=`echo ${para#*=}`       
    fi
 done
 
@@ -58,7 +61,8 @@ nohup python3 TrainResNet.py \
 				--image_name_path ${data_path}/label/name_1200.npy \
                 --train_data_path ${data_path}/train_data/1200_data.npy \
 				--parentPath ${data_path}/CACD2000_Crop/ \
-				--epochs 100 > $cur_path/test/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.log 2>&1 &
+				--epochs 100 \
+            --dynamic_input ${dynamic_input} > $cur_path/test/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.log 2>&1 &
 wait
 end=$(date +%s)
 e2e_time=$(( $end - $start ))
@@ -114,4 +118,4 @@ echo "TrainingTime = ${TrainingTime}"       >> $cur_path/test/output/$ASCEND_DEV
 echo "TrainAccuracy = ${train_accuracy}"    >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "ActualLoss = ${ActualLoss}"           >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "E2ETrainingTime = ${e2e_time}"        >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
-
+echo "DynamicInput = ${dynamic_input}"      >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
diff --git a/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/test/train_performance_1p.sh b/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/test/train_performance_1p.sh
index 3e3574299..41420ab08 100644
--- a/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/test/train_performance_1p.sh
+++ b/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/test/train_performance_1p.sh
@@ -20,6 +20,7 @@ learning_rate=
 
 #参数配置
 data_path=""
+dynamic_input="1"
 #work_dir="$cur_path/estimator_working_dir"
 #export_path="$cur_path/outputs/models/000001-first_generation"
 
@@ -32,6 +33,8 @@ for para in $*
 do
    if [[ $para == --data_path* ]];then
       data_path=`echo ${para#*=}`
+   elif [[ $para == --dynamic_input* ]];then
+      dynamic_input=`echo ${para#*=}`        
    fi
 done
 
@@ -58,7 +61,8 @@ nohup python3 TrainResNet.py \
 				--image_name_path ${data_path}/label/name_1200.npy \
                 --train_data_path ${data_path}/train_data/1200_data.npy \
 				--parentPath ${data_path}/CACD2000_Crop/ \
-				--epochs 2 > $cur_path/test/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.log 2>&1 &
+				--epochs 2 \
+            --dynamic_input ${dynamic_input} > $cur_path/test/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.log 2>&1 &
 wait
 end=$(date +%s)
 e2e_time=$(( $end - $start ))
@@ -114,4 +118,4 @@ echo "TrainingTime = ${TrainingTime}"       >> $cur_path/test/output/$ASCEND_DEV
 echo "TrainAccuracy = ${train_accuracy}"    >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "ActualLoss = ${ActualLoss}"           >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "E2ETrainingTime = ${e2e_time}"        >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
-
+echo "DynamicInput = ${dynamic_input}"      >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
-- 
Gitee


From 3306e5f5974ec21c3f57e3a2658d458c00950ae1 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=82=A2=E6=96=87=E6=A0=8B?= <13298410087@163.com>
Date: Mon, 28 Mar 2022 02:08:01 +0000
Subject: [PATCH 09/33] dynamic_input

---
 .../Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py         | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py b/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py
index f7163bb01..10c96db9b 100644
--- a/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py
+++ b/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py
@@ -65,7 +65,8 @@ def parse_args():
 	############################add train_data_path##################################
 	parser.add_argument('--parentPath', type=str, default='./CACD2000_Crop/', help='image path')
 	parser.add_argument('--epochs', type=int, default=100, help='NUM_EPOCHS')
-    parser.add_argument("--dynamic_input", type=str, default='1', help="--dynamic_input=1 Use fuzzy compilation. --dynamic_input=lazy_recompile Compile using lazy static graph") 
+    parser.add_argument("--dynamic_input", type=str, default='1', 
+                        help="--dynamic_input=1 Use fuzzy compilation --dynamic_input=lazy_recompile Compile using lazy static graph") 
 	return parser.parse_args()
 args = parse_args()
 
-- 
Gitee


From 66f8757baa306219735602130081ac1ec05b2e29 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=82=A2=E6=96=87=E6=A0=8B?= <13298410087@163.com>
Date: Mon, 28 Mar 2022 02:13:37 +0000
Subject: [PATCH 10/33] dynamic_input

---
 .../Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py         | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py b/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py
index 10c96db9b..213f8a29f 100644
--- a/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py
+++ b/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py
@@ -65,8 +65,7 @@ def parse_args():
 	############################add train_data_path##################################
 	parser.add_argument('--parentPath', type=str, default='./CACD2000_Crop/', help='image path')
 	parser.add_argument('--epochs', type=int, default=100, help='NUM_EPOCHS')
-    parser.add_argument("--dynamic_input", type=str, default='1', 
-                        help="--dynamic_input=1 Use fuzzy compilation --dynamic_input=lazy_recompile Compile using lazy static graph") 
+    parser.add_argument('--dynamic_input', type=str, default='1', help='--dynamic_input=1 Use fuzzy compilation --dynamic_input=lazy_recompile Compile using lazy static graph')
 	return parser.parse_args()
 args = parse_args()
 
-- 
Gitee


From 4c9c7a3fecfebe72a3aece0ac888552e9e87580f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=82=A2=E6=96=87=E6=A0=8B?= <13298410087@163.com>
Date: Mon, 28 Mar 2022 02:18:05 +0000
Subject: [PATCH 11/33] dynamic_input

---
 .../Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py       | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py b/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py
index 213f8a29f..165b72931 100644
--- a/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py
+++ b/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py
@@ -65,7 +65,10 @@ def parse_args():
 	############################add train_data_path##################################
 	parser.add_argument('--parentPath', type=str, default='./CACD2000_Crop/', help='image path')
 	parser.add_argument('--epochs', type=int, default=100, help='NUM_EPOCHS')
-    parser.add_argument('--dynamic_input', type=str, default='1', help='--dynamic_input=1 Use fuzzy compilation --dynamic_input=lazy_recompile Compile using lazy static graph')
+    parser.add_argument('--dynamic_input', 
+                        type=str, 
+                        default='1', 
+                        help='--dynamic_input=1 Use fuzzy compilation --dynamic_input=lazy_recompile Compile using lazy static graph')
 	return parser.parse_args()
 args = parse_args()
 
-- 
Gitee


From d8d9ab3d91a0973a26749ed61b5859134bbc6642 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=82=A2=E6=96=87=E6=A0=8B?= <13298410087@163.com>
Date: Mon, 28 Mar 2022 02:31:43 +0000
Subject: [PATCH 12/33] dynamic_input

---
 .../Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py       | 5 +----
 1 file changed, 1 insertion(+), 4 deletions(-)

diff --git a/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py b/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py
index 165b72931..b11206223 100644
--- a/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py
+++ b/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py
@@ -58,6 +58,7 @@ from utils import *
 def parse_args():
 	desc = "MAIN"
 	parser = argparse.ArgumentParser(description=desc)
+    parser.add_argument('--dynamic_input', type=str, default='1', help='--dynamic_input=1 Use fuzzy compilation --dynamic_input=lazy_recompile Compile using lazy static graph')
 	parser.add_argument('--label_path', type=str, default='./label/label_1200.npy', help='Path of Label.npy')
 	parser.add_argument('--image_name_path', type=str, default='./label/name_1200.npy', help='Path of image file names')
 	############################add train_data_path##################################
@@ -65,10 +66,6 @@ def parse_args():
 	############################add train_data_path##################################
 	parser.add_argument('--parentPath', type=str, default='./CACD2000_Crop/', help='image path')
 	parser.add_argument('--epochs', type=int, default=100, help='NUM_EPOCHS')
-    parser.add_argument('--dynamic_input', 
-                        type=str, 
-                        default='1', 
-                        help='--dynamic_input=1 Use fuzzy compilation --dynamic_input=lazy_recompile Compile using lazy static graph')
 	return parser.parse_args()
 args = parse_args()
 
-- 
Gitee


From eee19ec640c2f9431a64cf01f1cc46dd565e6563 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=82=A2=E6=96=87=E6=A0=8B?= <13298410087@163.com>
Date: Mon, 28 Mar 2022 02:40:59 +0000
Subject: [PATCH 13/33] dynamic_input

---
 .../TrainResNet.py                            | 19 +++++++++----------
 1 file changed, 9 insertions(+), 10 deletions(-)

diff --git a/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py b/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py
index b11206223..cb7611588 100644
--- a/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py
+++ b/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py
@@ -56,17 +56,16 @@ from scipy import misc
 from utils import *
 
 def parse_args():
-	desc = "MAIN"
-	parser = argparse.ArgumentParser(description=desc)
+    desc = "MAIN"parser = argparse.ArgumentParser(description=desc)
     parser.add_argument('--dynamic_input', type=str, default='1', help='--dynamic_input=1 Use fuzzy compilation --dynamic_input=lazy_recompile Compile using lazy static graph')
-	parser.add_argument('--label_path', type=str, default='./label/label_1200.npy', help='Path of Label.npy')
-	parser.add_argument('--image_name_path', type=str, default='./label/name_1200.npy', help='Path of image file names')
-	############################add train_data_path##################################
-	parser.add_argument('--train_data_path', type=str, default='./train_data/1200_data.npy', help='Path of train data')
-	############################add train_data_path##################################
-	parser.add_argument('--parentPath', type=str, default='./CACD2000_Crop/', help='image path')
-	parser.add_argument('--epochs', type=int, default=100, help='NUM_EPOCHS')
-	return parser.parse_args()
+    parser.add_argument('--label_path', type=str, default='./label/label_1200.npy', help='Path of Label.npy')
+    parser.add_argument('--image_name_path', type=str, default='./label/name_1200.npy', help='Path of image file names')
+    ############################add train_data_path##################################
+    parser.add_argument('--train_data_path', type=str, default='./train_data/1200_data.npy', help='Path of train data')
+    ############################add train_data_path##################################
+    parser.add_argument('--parentPath', type=str, default='./CACD2000_Crop/', help='image path')
+    parser.add_argument('--epochs', type=int, default=100, help='NUM_EPOCHS')
+    return parser.parse_args()
 args = parse_args()
 
 # image size
-- 
Gitee


From 955971da117a40e7760d41412c48bf504298061a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=82=A2=E6=96=87=E6=A0=8B?= <13298410087@163.com>
Date: Mon, 28 Mar 2022 02:47:51 +0000
Subject: [PATCH 14/33] dynamic_input

---
 .../Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py         | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py b/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py
index cb7611588..c7ba09972 100644
--- a/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py
+++ b/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py
@@ -64,8 +64,7 @@ def parse_args():
     parser.add_argument('--train_data_path', type=str, default='./train_data/1200_data.npy', help='Path of train data')
     ############################add train_data_path##################################
     parser.add_argument('--parentPath', type=str, default='./CACD2000_Crop/', help='image path')
-    parser.add_argument('--epochs', type=int, default=100, help='NUM_EPOCHS')
-    return parser.parse_args()
+    parser.add_argument('--epochs', type=int, default=100, help='NUM_EPOCHS')return parser.parse_args()
 args = parse_args()
 
 # image size
-- 
Gitee


From d9d8dccdf51a3166b9baec3103f54f5149496074 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=82=A2=E6=96=87=E6=A0=8B?= <13298410087@163.com>
Date: Mon, 28 Mar 2022 02:51:30 +0000
Subject: [PATCH 15/33] dynnamic_input

---
 .../Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py         | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py b/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py
index c7ba09972..1149306f3 100644
--- a/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py
+++ b/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py
@@ -56,7 +56,8 @@ from scipy import misc
 from utils import *
 
 def parse_args():
-    desc = "MAIN"parser = argparse.ArgumentParser(description=desc)
+    desc = "MAIN"
+    parser = argparse.ArgumentParser(description=desc)
     parser.add_argument('--dynamic_input', type=str, default='1', help='--dynamic_input=1 Use fuzzy compilation --dynamic_input=lazy_recompile Compile using lazy static graph')
     parser.add_argument('--label_path', type=str, default='./label/label_1200.npy', help='Path of Label.npy')
     parser.add_argument('--image_name_path', type=str, default='./label/name_1200.npy', help='Path of image file names')
-- 
Gitee


From dc5d6e7a694cbb83ac71dcb4fca534bc6839c0aa Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=82=A2=E6=96=87=E6=A0=8B?= <13298410087@163.com>
Date: Mon, 28 Mar 2022 02:59:41 +0000
Subject: [PATCH 16/33] dynamic_input

---
 .../Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py         | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py b/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py
index 1149306f3..b184e85ea 100644
--- a/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py
+++ b/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet.py
@@ -65,7 +65,8 @@ def parse_args():
     parser.add_argument('--train_data_path', type=str, default='./train_data/1200_data.npy', help='Path of train data')
     ############################add train_data_path##################################
     parser.add_argument('--parentPath', type=str, default='./CACD2000_Crop/', help='image path')
-    parser.add_argument('--epochs', type=int, default=100, help='NUM_EPOCHS')return parser.parse_args()
+    parser.add_argument('--epochs', type=int, default=100, help='NUM_EPOCHS')
+    return parser.parse_args()
 args = parse_args()
 
 # image size
-- 
Gitee


From 9719b4d3ef38b571c464534afe35984226c9c3a9 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=82=A2=E6=96=87=E6=A0=8B?= <13298410087@163.com>
Date: Mon, 28 Mar 2022 06:14:26 +0000
Subject: [PATCH 17/33] dynamic_input

---
 .../post_tprnn_npu_code_chun/tprnn_train_human.py     | 11 ++++++++++-
 .../test/train_performance_1p.sh                      | 11 ++++++++---
 2 files changed, 18 insertions(+), 4 deletions(-)

diff --git a/TensorFlow/contrib/cv/tprnn_ID1297_for_TensorFlow/post_tprnn_npu_code_chun/tprnn_train_human.py b/TensorFlow/contrib/cv/tprnn_ID1297_for_TensorFlow/post_tprnn_npu_code_chun/tprnn_train_human.py
index 9d0f92adf..842a064c2 100644
--- a/TensorFlow/contrib/cv/tprnn_ID1297_for_TensorFlow/post_tprnn_npu_code_chun/tprnn_train_human.py
+++ b/TensorFlow/contrib/cv/tprnn_ID1297_for_TensorFlow/post_tprnn_npu_code_chun/tprnn_train_human.py
@@ -145,6 +145,10 @@ parser.add_argument(
 parser.add_argument(
     "--data_url", type=str, default="./dataset"
 )  # PyCharm插件传入的 Data Path in OBS路径
+parser.add_argument(
+    "--dynamic_input", type=str, default='1', help="--dynamic_input=1 Use fuzzy compilation. --dynamic_input=lazy_recompile Compile using lazy static graph"
+    )
+
 
 #add
 parser.add_argument("--locals_dir", default="/data2/NRE_Check/wx1056345/ID1297_tprnn/data/h3.6m/dataset")
@@ -318,7 +322,12 @@ def train():
     custom_op.name = "NpuOptimizer"
     #add
     custom_op.parameter_map['dynamic_input'].b = True
-    custom_op.parameter_map["dynamic_graph_execute_mode"].s = tf.compat.as_bytes("lazy_recompile")
+    if args.dynamic_input == "lazy_recompile":
+        custom_op.parameter_map["dynamic_graph_execute_mode"].s = tf.compat.as_bytes("lazy_recompile")
+    elif args.dynamic_input == "1": 
+        custom_op.parameter_map["dynamic_graph_execute_mode"].s = tf.compat.as_bytes("dynamic_execute")
+    else:
+        print("Enter correct compilation parameters.")
     ##混合精度
     custom_op.parameter_map["precision_mode"].s = tf.compat.as_bytes("force_fp16")
 
diff --git a/TensorFlow/contrib/cv/tprnn_ID1297_for_TensorFlow/test/train_performance_1p.sh b/TensorFlow/contrib/cv/tprnn_ID1297_for_TensorFlow/test/train_performance_1p.sh
index af988dc74..6480b9505 100644
--- a/TensorFlow/contrib/cv/tprnn_ID1297_for_TensorFlow/test/train_performance_1p.sh
+++ b/TensorFlow/contrib/cv/tprnn_ID1297_for_TensorFlow/test/train_performance_1p.sh
@@ -14,6 +14,7 @@ RANK_ID_START=0
 data_path=''
 #预训练模型地址
 ckpt_path=''
+dynamic_input="1"
 
 #设置默认日志级别,不需要改
 #export ASCEND_GLOBAL_LOG_LEVEL=3
@@ -77,7 +78,9 @@ do
         data_path=`echo ${para#*=}`
     elif [[ $para == --ckpt_path* ]];then
         ckpt_path=`echo ${para#*=}`
-        fi
+   elif [[ $para == --dynamic_input* ]];then
+      dynamic_input=`echo ${para#*=}`         
+    fi
 done
 # #校验是否传入data_path,不需要修改
 # if [[$data_path == ""]];then
@@ -105,7 +108,8 @@ python3 tprnn_train_human.py \
      --locals_dir=${data_path} \
      --model_dir=$cur_path/result \
 	 --iterations=1000 \
-	 --test_every=2000 > ${cur_path}/test/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1
+	 --test_every=2000 \
+     --dynamic_input ${dynamic_input} > ${cur_path}/test/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1
 wait
 
 #训练结束时间，不需要修改
@@ -155,4 +159,5 @@ echo "ActualFPS = ${ActualFPS}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${Cas
 echo "TrainingTime = ${TrainingTime}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "ActualLoss = ${ActualLoss}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
-#echo "Accuracy = ${train_accuracy}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
\ No newline at end of file
+#echo "Accuracy = ${train_accuracy}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "DynamicInput = ${dynamic_input}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
\ No newline at end of file
-- 
Gitee


From 637d9761811d68a4e0e6272a12f3a56b9012d380 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=82=A2=E6=96=87=E6=A0=8B?= <13298410087@163.com>
Date: Mon, 28 Mar 2022 06:32:55 +0000
Subject: [PATCH 18/33] dynamic_input

---
 .../post_tprnn_npu_code_chun/tprnn_train_human.py             | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/TensorFlow/contrib/cv/tprnn_ID1297_for_TensorFlow/post_tprnn_npu_code_chun/tprnn_train_human.py b/TensorFlow/contrib/cv/tprnn_ID1297_for_TensorFlow/post_tprnn_npu_code_chun/tprnn_train_human.py
index 842a064c2..7b5a086ec 100644
--- a/TensorFlow/contrib/cv/tprnn_ID1297_for_TensorFlow/post_tprnn_npu_code_chun/tprnn_train_human.py
+++ b/TensorFlow/contrib/cv/tprnn_ID1297_for_TensorFlow/post_tprnn_npu_code_chun/tprnn_train_human.py
@@ -322,9 +322,9 @@ def train():
     custom_op.name = "NpuOptimizer"
     #add
     custom_op.parameter_map['dynamic_input'].b = True
-    if args.dynamic_input == "lazy_recompile":
+    if FLAGS.dynamic_input == "lazy_recompile":
         custom_op.parameter_map["dynamic_graph_execute_mode"].s = tf.compat.as_bytes("lazy_recompile")
-    elif args.dynamic_input == "1": 
+    elif FLAGS.dynamic_input == "1": 
         custom_op.parameter_map["dynamic_graph_execute_mode"].s = tf.compat.as_bytes("dynamic_execute")
     else:
         print("Enter correct compilation parameters.")
-- 
Gitee


From ae87377f53c98d8009b00e47c0f173bd7f3060f1 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=82=A2=E6=96=87=E6=A0=8B?= <13298410087@163.com>
Date: Mon, 28 Mar 2022 08:13:39 +0000
Subject: [PATCH 19/33] dynamic_input

---
 .../MGCNN_ID1039_for_TensorFlow/mgcnn_npu.py  | 29 ++++++++++++-------
 .../test/train_full_1p.sh                     |  9 ++++--
 .../test/train_performance_1p.sh              |  9 ++++--
 3 files changed, 32 insertions(+), 15 deletions(-)

diff --git a/TensorFlow/contrib/cv/MGCNN_ID1039_for_TensorFlow/mgcnn_npu.py b/TensorFlow/contrib/cv/MGCNN_ID1039_for_TensorFlow/mgcnn_npu.py
index 908b68995..cba822189 100644
--- a/TensorFlow/contrib/cv/MGCNN_ID1039_for_TensorFlow/mgcnn_npu.py
+++ b/TensorFlow/contrib/cv/MGCNN_ID1039_for_TensorFlow/mgcnn_npu.py
@@ -187,17 +187,6 @@ class mgcnn(object):
 
 
 if __name__ == '__main__':
-    # npu_keras_sess = set_keras_session_npu_config()
-    # ***** npu modify begin *****
-    os.system(" export ENABLE_FORCE_V2_CONTROL = 1")
-    # export ENABLE_FORCE_V2_CONTROL = 1
-    global_config = tf.ConfigProto(log_device_placement=False)
-    custom_op = global_config.graph_options.rewrite_options.custom_optimizers.add()
-    custom_op.name = "NpuOptimizer"
-    custom_op.parameter_map["precision_mode"].s = tf.compat.as_bytes("allow_mix_precision")
-    custom_op.parameter_map["dynamic_input"].b = 1
-    custom_op.parameter_map["dynamic_graph_execute_mode"].s = tf.compat.as_bytes("lazy_recompile")
-    npu_keras_sess = set_keras_session_npu_config(config=global_config)
     # ***** npu modify end *****
 
     description = ("Train a CNN to classify four cosmological models\n" +
@@ -223,8 +212,26 @@ if __name__ == '__main__':
                         help="specific gpu id to use")
     parser.add_argument("-datapath", "--datapath", type=str, default="/cache/dataset/data",
                         help="specific gpu id to use")
+    parser.add_argument("--dynamic_input", type=str, default='1', 
+                        help="--dynamic_input=1 Use fuzzy compilation. --dynamic_input=lazy_recompile Compile using lazy static graph")                            
     args = parser.parse_args()
 
+    # npu_keras_sess = set_keras_session_npu_config()
+    # ***** npu modify begin *****
+    os.system(" export ENABLE_FORCE_V2_CONTROL = 1")
+    # export ENABLE_FORCE_V2_CONTROL = 1
+    global_config = tf.ConfigProto(log_device_placement=False)
+    custom_op = global_config.graph_options.rewrite_options.custom_optimizers.add()
+    custom_op.name = "NpuOptimizer"
+    custom_op.parameter_map["precision_mode"].s = tf.compat.as_bytes("allow_mix_precision")
+    custom_op.parameter_map["dynamic_input"].b = 1
+    if args.dynamic_input == "lazy_recompile":
+        custom_op.parameter_map["dynamic_graph_execute_mode"].s = tf.compat.as_bytes("lazy_recompile")
+    elif args.dynamic_input == "1": 
+        custom_op.parameter_map["dynamic_graph_execute_mode"].s = tf.compat.as_bytes("dynamic_execute")
+    else:
+        print("Enter correct compilation parameters.")
+    npu_keras_sess = set_keras_session_npu_config(config=global_config)
 
     noise_opts = {0: "clean", 1: "sigma035", 2: "sigma070"}
     noise_name = noise_opts[args.noise]
diff --git a/TensorFlow/contrib/cv/MGCNN_ID1039_for_TensorFlow/test/train_full_1p.sh b/TensorFlow/contrib/cv/MGCNN_ID1039_for_TensorFlow/test/train_full_1p.sh
index 274129ace..97be2b7ed 100644
--- a/TensorFlow/contrib/cv/MGCNN_ID1039_for_TensorFlow/test/train_full_1p.sh
+++ b/TensorFlow/contrib/cv/MGCNN_ID1039_for_TensorFlow/test/train_full_1p.sh
@@ -13,6 +13,7 @@ RANK_ID_START=0
 # 数据集路径,保持为空,不需要修改
 data_path=''
 ckpt_path=''
+dynamic_input="1"
 
 #设置默认日志级别,不需要修改
 export ASCEND_GLOBAL_LOG_LEVEL=3
@@ -78,6 +79,8 @@ do
 
     elif [[ $para == --ckpt_path* ]];then
         ckpt_path=`echo ${para#*=}`
+    elif [[ $para == --dynamic_input* ]];then
+        dynamic_input=`echo ${para#*=}`         
     fi
 done
 
@@ -123,7 +126,8 @@ do
     python3 mgcnn_npu.py \
 	--datapath=${data_path}/data/ \
 	--iterations=${train_steps} \
-	--epochs=${train_epochs} > ${cur_path}test/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1 &
+	--epochs=${train_epochs} \
+    --dynamic_input ${dynamic_input} > ${cur_path}test/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1 &
 
 
 done 
@@ -171,4 +175,5 @@ echo "ActualFPS = ${ActualFPS}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${Cas
 echo "TrainingTime = ${TrainingTime}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "ActualLoss = ${ActualLoss}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "TrainAccuracy = ${train_accuracy}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
-echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
\ No newline at end of file
+echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "DynamicInput = ${dynamic_input}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
\ No newline at end of file
diff --git a/TensorFlow/contrib/cv/MGCNN_ID1039_for_TensorFlow/test/train_performance_1p.sh b/TensorFlow/contrib/cv/MGCNN_ID1039_for_TensorFlow/test/train_performance_1p.sh
index 657a4a243..3d0535194 100644
--- a/TensorFlow/contrib/cv/MGCNN_ID1039_for_TensorFlow/test/train_performance_1p.sh
+++ b/TensorFlow/contrib/cv/MGCNN_ID1039_for_TensorFlow/test/train_performance_1p.sh
@@ -13,6 +13,7 @@ RANK_ID_START=0
 # 数据集路径,保持为空,不需要修改
 data_path=''
 ckpt_path=''
+dynamic_input="1"
 
 #设置默认日志级别,不需要修改
 export ASCEND_GLOBAL_LOG_LEVEL=3
@@ -78,6 +79,8 @@ do
 
     elif [[ $para == --ckpt_path* ]];then
         ckpt_path=`echo ${para#*=}`
+    elif [[ $para == --dynamic_input* ]];then
+        dynamic_input=`echo ${para#*=}`         
     fi
 done
 
@@ -123,7 +126,8 @@ do
     python3 mgcnn_npu.py \
 	--datapath=${data_path}/data/ \
 	--iterations=${train_steps} \
-	--epochs=${train_epochs} > ${cur_path}test/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1 &
+	--epochs=${train_epochs} \
+    --dynamic_input ${dynamic_input} > ${cur_path}test/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1 &
 
 
 done 
@@ -171,4 +175,5 @@ echo "ActualFPS = ${ActualFPS}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${Cas
 echo "TrainingTime = ${TrainingTime}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "ActualLoss = ${ActualLoss}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "TrainAccuracy = ${train_accuracy}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
-echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
\ No newline at end of file
+echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "DynamicInput = ${dynamic_input}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
\ No newline at end of file
-- 
Gitee


From 84e5b73892e585eb3195629e9922b1d8cefb0459 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=82=A2=E6=96=87=E6=A0=8B?= <13298410087@163.com>
Date: Mon, 28 Mar 2022 08:53:23 +0000
Subject: [PATCH 20/33] dynamic_input

---
 .../Hybrid-Spectral-Net.py                      | 17 ++++++++++++++++-
 .../test/train_full_1p.sh                       |  8 ++++++--
 .../test/train_performance_1p.sh                |  8 ++++++--
 3 files changed, 28 insertions(+), 5 deletions(-)

diff --git a/TensorFlow/contrib/cv/HybridSN_ID1160_for_TensorFlow/Hybrid-Spectral-Net.py b/TensorFlow/contrib/cv/HybridSN_ID1160_for_TensorFlow/Hybrid-Spectral-Net.py
index 55a6cce34..61e9c76d0 100644
--- a/TensorFlow/contrib/cv/HybridSN_ID1160_for_TensorFlow/Hybrid-Spectral-Net.py
+++ b/TensorFlow/contrib/cv/HybridSN_ID1160_for_TensorFlow/Hybrid-Spectral-Net.py
@@ -61,6 +61,16 @@ import scipy.io as sio
 # init_notebook_mode(connected=True)
 # %matplotlib inline
 from tensorflow.core.protobuf.rewriter_config_pb2 import RewriterConfig
+import argparse
+
+
+def init_arg():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--dynamic_input", type=str, default='1', help="--dynamic_input=1 Use fuzzy compilation. --dynamic_input=lazy_recompile Compile using lazy static graph")
+    return parser.parse_args()
+
+
+args = init_arg()
 
 config = tf.compat.v1.ConfigProto()
 custom_op = config.graph_options.rewrite_options.custom_optimizers.add()
@@ -68,7 +78,12 @@ custom_op.name = "NpuOptimizer"
 custom_op.parameter_map["use_off_line"].b = True
 config.graph_options.rewrite_options.remapping = RewriterConfig.OFF
 custom_op.parameter_map["dynamic_input"].b = True
-custom_op.parameter_map["dynamic_graph_execute_mode"].s = tf.compat.as_bytes("lazy_recompile")
+if args.dynamic_input == "lazy_recompile":
+    custom_op.parameter_map["dynamic_graph_execute_mode"].s = tf.compat.as_bytes("lazy_recompile")
+elif args.dynamic_input == "1": 
+    custom_op.parameter_map["dynamic_graph_execute_mode"].s = tf.compat.as_bytes("dynamic_execute")
+else:
+    print("Enter correct compilation parameters.")
 
 flags = tf.compat.v1.flags
 FLAGS = flags.FLAGS
diff --git a/TensorFlow/contrib/cv/HybridSN_ID1160_for_TensorFlow/test/train_full_1p.sh b/TensorFlow/contrib/cv/HybridSN_ID1160_for_TensorFlow/test/train_full_1p.sh
index acf6eef09..34cd7e302 100644
--- a/TensorFlow/contrib/cv/HybridSN_ID1160_for_TensorFlow/test/train_full_1p.sh
+++ b/TensorFlow/contrib/cv/HybridSN_ID1160_for_TensorFlow/test/train_full_1p.sh
@@ -13,6 +13,7 @@ RANK_ID_START=0
 # 数据集路径,保持为空,不需要修改
 data_path=''
 ckpt_path=''
+dynamic_input="1"
 
 #设置默认日志级别,不需要修改
 export ASCEND_GLOBAL_LOG_LEVEL=3
@@ -78,6 +79,8 @@ do
 
     elif [[ $para == --ckpt_path* ]];then
         ckpt_path=`echo ${para#*=}`
+    elif [[ $para == --dynamic_input* ]];then
+        dynamic_input=`echo ${para#*=}`        
     fi
 done
 
@@ -120,7 +123,7 @@ do
 	
     #执行训练脚本，以下传参不需要修改，其他需要模型审视修改
 
-    python3 Hybrid-Spectral-Net.py --datapath=${data_path} > ${cur_path}test/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1
+    python3 Hybrid-Spectral-Net.py --datapath=${data_path} --dynamic_input=${dynamic_input} > ${cur_path}test/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1
 
 
 done 
@@ -165,4 +168,5 @@ echo "ActualFPS = ${ActualFPS}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${Cas
 echo "TrainingTime = ${TrainingTime}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "ActualLoss = ${ActualLoss}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "TrainAccuracy = ${train_accuracy}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
-echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
\ No newline at end of file
+echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "DynamicInput = ${dynamic_input}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
\ No newline at end of file
diff --git a/TensorFlow/contrib/cv/HybridSN_ID1160_for_TensorFlow/test/train_performance_1p.sh b/TensorFlow/contrib/cv/HybridSN_ID1160_for_TensorFlow/test/train_performance_1p.sh
index 6114bf636..c6362c04e 100644
--- a/TensorFlow/contrib/cv/HybridSN_ID1160_for_TensorFlow/test/train_performance_1p.sh
+++ b/TensorFlow/contrib/cv/HybridSN_ID1160_for_TensorFlow/test/train_performance_1p.sh
@@ -13,6 +13,7 @@ RANK_ID_START=0
 # 数据集路径,保持为空,不需要修改
 data_path=''
 ckpt_path=''
+dynamic_input="1"
 
 #设置默认日志级别,不需要修改
 export ASCEND_GLOBAL_LOG_LEVEL=3
@@ -78,6 +79,8 @@ do
 
     elif [[ $para == --ckpt_path* ]];then
         ckpt_path=`echo ${para#*=}`
+    elif [[ $para == --dynamic_input* ]];then
+        dynamic_input=`echo ${para#*=}`         
     fi
 done
 
@@ -120,7 +123,7 @@ do
 	
     #执行训练脚本，以下传参不需要修改，其他需要模型审视修改
 
-    python3 Hybrid-Spectral-Net.py --train_step=${train_steps} --datapath=${data_path} > ${cur_path}test/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1
+    python3 Hybrid-Spectral-Net.py --train_step=${train_steps} --datapath=${data_path} --dynamic_input=${dynamic_input} > ${cur_path}test/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1
 
 
 done 
@@ -165,4 +168,5 @@ echo "ActualFPS = ${ActualFPS}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${Cas
 echo "TrainingTime = ${TrainingTime}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "ActualLoss = ${ActualLoss}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "TrainAccuracy = ${train_accuracy}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
-echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
\ No newline at end of file
+echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "DynamicInput = ${dynamic_input}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
\ No newline at end of file
-- 
Gitee


From 02a005ba8b18030cc61bbaf32f1a2004b2cfddc6 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=82=A2=E6=96=87=E6=A0=8B?= <13298410087@163.com>
Date: Tue, 29 Mar 2022 01:57:38 +0000
Subject: [PATCH 21/33] dynamic_input

---
 .../Hybrid-Spectral-Net.py                    | 39 ++++++++-----------
 1 file changed, 17 insertions(+), 22 deletions(-)

diff --git a/TensorFlow/contrib/cv/HybridSN_ID1160_for_TensorFlow/Hybrid-Spectral-Net.py b/TensorFlow/contrib/cv/HybridSN_ID1160_for_TensorFlow/Hybrid-Spectral-Net.py
index 61e9c76d0..5e4c27353 100644
--- a/TensorFlow/contrib/cv/HybridSN_ID1160_for_TensorFlow/Hybrid-Spectral-Net.py
+++ b/TensorFlow/contrib/cv/HybridSN_ID1160_for_TensorFlow/Hybrid-Spectral-Net.py
@@ -61,30 +61,8 @@ import scipy.io as sio
 # init_notebook_mode(connected=True)
 # %matplotlib inline
 from tensorflow.core.protobuf.rewriter_config_pb2 import RewriterConfig
-import argparse
 
 
-def init_arg():
-    parser = argparse.ArgumentParser()
-    parser.add_argument("--dynamic_input", type=str, default='1', help="--dynamic_input=1 Use fuzzy compilation. --dynamic_input=lazy_recompile Compile using lazy static graph")
-    return parser.parse_args()
-
-
-args = init_arg()
-
-config = tf.compat.v1.ConfigProto()
-custom_op = config.graph_options.rewrite_options.custom_optimizers.add()
-custom_op.name = "NpuOptimizer"
-custom_op.parameter_map["use_off_line"].b = True
-config.graph_options.rewrite_options.remapping = RewriterConfig.OFF
-custom_op.parameter_map["dynamic_input"].b = True
-if args.dynamic_input == "lazy_recompile":
-    custom_op.parameter_map["dynamic_graph_execute_mode"].s = tf.compat.as_bytes("lazy_recompile")
-elif args.dynamic_input == "1": 
-    custom_op.parameter_map["dynamic_graph_execute_mode"].s = tf.compat.as_bytes("dynamic_execute")
-else:
-    print("Enter correct compilation parameters.")
-
 flags = tf.compat.v1.flags
 FLAGS = flags.FLAGS
 
@@ -106,6 +84,23 @@ flags.DEFINE_integer(
     "train_step", 100,
     "total epochs for training")
 
+flags.DEFINE_integer(
+    "--dynamic_input", "1", 
+    "--dynamic_input=1 Use fuzzy compilation. --dynamic_input=lazy_recompile Compile using lazy static graph")
+
+config = tf.compat.v1.ConfigProto()
+custom_op = config.graph_options.rewrite_options.custom_optimizers.add()
+custom_op.name = "NpuOptimizer"
+custom_op.parameter_map["use_off_line"].b = True
+config.graph_options.rewrite_options.remapping = RewriterConfig.OFF
+custom_op.parameter_map["dynamic_input"].b = True
+if FLAGS.dynamic_input == "lazy_recompile":
+    custom_op.parameter_map["dynamic_graph_execute_mode"].s = tf.compat.as_bytes("lazy_recompile")
+elif FLAGS.dynamic_input == "1": 
+    custom_op.parameter_map["dynamic_graph_execute_mode"].s = tf.compat.as_bytes("dynamic_execute")
+else:
+    print("Enter correct compilation parameters.")
+
 
 ## GLOBAL VARIABLES
 dataset = 'SA'
-- 
Gitee


From 0724000e55172a5a451eb5cbb67b2b962603e9db Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=82=A2=E6=96=87=E6=A0=8B?= <13298410087@163.com>
Date: Tue, 29 Mar 2022 02:18:23 +0000
Subject: [PATCH 22/33] dynamic_input

---
 .../cv/HybridSN_ID1160_for_TensorFlow/Hybrid-Spectral-Net.py    | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/TensorFlow/contrib/cv/HybridSN_ID1160_for_TensorFlow/Hybrid-Spectral-Net.py b/TensorFlow/contrib/cv/HybridSN_ID1160_for_TensorFlow/Hybrid-Spectral-Net.py
index 5e4c27353..3de262a37 100644
--- a/TensorFlow/contrib/cv/HybridSN_ID1160_for_TensorFlow/Hybrid-Spectral-Net.py
+++ b/TensorFlow/contrib/cv/HybridSN_ID1160_for_TensorFlow/Hybrid-Spectral-Net.py
@@ -85,7 +85,7 @@ flags.DEFINE_integer(
     "total epochs for training")
 
 flags.DEFINE_integer(
-    "--dynamic_input", "1", 
+    "dynamic_input", "1", 
     "--dynamic_input=1 Use fuzzy compilation. --dynamic_input=lazy_recompile Compile using lazy static graph")
 
 config = tf.compat.v1.ConfigProto()
-- 
Gitee


From 86780ee92ff509a0c6c9195862a9eb02eaf46ce9 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=82=A2=E6=96=87=E6=A0=8B?= <13298410087@163.com>
Date: Tue, 29 Mar 2022 06:30:09 +0000
Subject: [PATCH 23/33] dynamic_input

---
 .../osmn_coco_pretrain.py                           | 13 ++++++++++++-
 .../test/train_full_1p.sh                           |  7 ++++++-
 .../test/train_performance_1p.sh                    |  9 +++++++--
 3 files changed, 25 insertions(+), 4 deletions(-)

diff --git a/TensorFlow/built-in/cv/image_segmentation/OSMN_ID1103_for_TensorFlow/osmn_coco_pretrain.py b/TensorFlow/built-in/cv/image_segmentation/OSMN_ID1103_for_TensorFlow/osmn_coco_pretrain.py
index 2e3809f4a..c7c891bf4 100644
--- a/TensorFlow/built-in/cv/image_segmentation/OSMN_ID1103_for_TensorFlow/osmn_coco_pretrain.py
+++ b/TensorFlow/built-in/cv/image_segmentation/OSMN_ID1103_for_TensorFlow/osmn_coco_pretrain.py
@@ -81,6 +81,12 @@ def add_arguments(parser):
             required=False,
             default=[0.8, 1, 1.2],
             help='Image scales for data augmentation')
+    group.add_argument(
+            '--dynamic_input',
+            type=str,
+            required=False,
+            default='1',
+            help='--dynamic_input=1 Use fuzzy compilation. --dynamic_input=lazy_recompile Compile using lazy static graph')            
 
 print(" ".join(sys.argv[:]))
 
@@ -115,7 +121,12 @@ config.gpu_options.per_process_gpu_memory_fraction = 0.9
 custom_op = config.graph_options.rewrite_options.custom_optimizers.add()
 custom_op.name = "NpuOptimizer"
 custom_op.parameter_map["dynamic_input"].b = 1
-custom_op.parameter_map["dynamic_graph_execute_mode"].s = tf.compat.as_bytes("lazy_recompile")
+if args.dynamic_input == "lazy_recompile":
+    custom_op.parameter_map["dynamic_graph_execute_mode"].s = tf.compat.as_bytes("lazy_recompile")
+elif args.dynamic_input == "1": 
+    custom_op.parameter_map["dynamic_graph_execute_mode"].s = tf.compat.as_bytes("dynamic_execute")
+else:
+    print("Enter correct compilation parameters.")
 custom_op.parameter_map["precision_mode"].s = tf.compat.as_bytes("allow_mix_precision")
 
 #custom_op.parameter_map["mix_compile_mode"].b = True
diff --git a/TensorFlow/built-in/cv/image_segmentation/OSMN_ID1103_for_TensorFlow/test/train_full_1p.sh b/TensorFlow/built-in/cv/image_segmentation/OSMN_ID1103_for_TensorFlow/test/train_full_1p.sh
index 7ac40e7b2..e8e9cc883 100644
--- a/TensorFlow/built-in/cv/image_segmentation/OSMN_ID1103_for_TensorFlow/test/train_full_1p.sh
+++ b/TensorFlow/built-in/cv/image_segmentation/OSMN_ID1103_for_TensorFlow/test/train_full_1p.sh
@@ -19,6 +19,7 @@ learning_rate=
 
 #参数配置
 data_path="../data/"
+dynamic_input="1"
 
 if [[ $1 == --help || $1 == --h ]];then
    echo "usage:./train_full_1p.sh --data_path=../data"
@@ -29,6 +30,8 @@ for para in $*
 do
    if [[ $para == --data_path* ]];then
       data_path=`echo ${para#*=}`
+   elif [[ $para == --dynamic_input* ]];then
+      dynamic_input=`echo ${para#*=}`       
    fi
 done
 
@@ -65,7 +68,8 @@ nohup python3 osmn_coco_pretrain.py --data_path ${data_path}/data/ \
         --model_save_path $cur_path/models/ \
         --training_iters $train_steps \
         --display_iters 100 \
-        --save_iters 50000 > $cur_path/test/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.log 2>&1 &
+        --save_iters 50000 \
+        --dynamic_input ${dynamic_input} > $cur_path/test/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.log 2>&1 &
 wait
 end=$(date +%s)
 e2etime=$(( $end - $start ))
@@ -107,3 +111,4 @@ echo "ActualFPS = ${ActualFPS}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${Cas
 echo "TrainingTime = ${TrainingTime}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "ActualLoss = ${ActualLoss}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "E2ETrainingTime = ${e2etime}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "DynamicInput = ${dynamic_input}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
\ No newline at end of file
diff --git a/TensorFlow/built-in/cv/image_segmentation/OSMN_ID1103_for_TensorFlow/test/train_performance_1p.sh b/TensorFlow/built-in/cv/image_segmentation/OSMN_ID1103_for_TensorFlow/test/train_performance_1p.sh
index 5392e1960..5e1b04e5e 100644
--- a/TensorFlow/built-in/cv/image_segmentation/OSMN_ID1103_for_TensorFlow/test/train_performance_1p.sh
+++ b/TensorFlow/built-in/cv/image_segmentation/OSMN_ID1103_for_TensorFlow/test/train_performance_1p.sh
@@ -19,6 +19,7 @@ learning_rate=
 
 #参数配置
 data_path="/data"
+dynamic_input="1"
 
 if [[ $1 == --help || $1 == --h ]];then
    echo "usage:./train_performance_1p.sh --data_path=../data"
@@ -29,6 +30,8 @@ for para in $*
 do
    if [[ $para == --data_path* ]];then
       data_path=`echo ${para#*=}`
+   elif [[ $para == --dynamic_input* ]];then
+      dynamic_input=`echo ${para#*=}`      
    fi
 done
 
@@ -65,7 +68,8 @@ nohup python3 osmn_coco_pretrain.py --data_path $data_path/data/ \
         --model_save_path $cur_path/models/ \
         --training_iters $train_steps \
         --display_iters 100 \
-        --save_iters 500 > $cur_path/test/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.log 2>&1 &
+        --save_iters 500 \
+        --dynamic_input ${dynamic_input} > $cur_path/test/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.log 2>&1 &
 wait
 end=$(date +%s)
 e2etime=$(( $end - $start ))
@@ -106,4 +110,5 @@ echo "CaseName = ${CaseName}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseN
 echo "ActualFPS = ${ActualFPS}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "TrainingTime = ${TrainingTime}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "ActualLoss = ${ActualLoss}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
-echo "E2ETrainingTime = ${e2etime}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
\ No newline at end of file
+echo "E2ETrainingTime = ${e2etime}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "DynamicInput = ${dynamic_input}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
\ No newline at end of file
-- 
Gitee


From b1453edcc53c2a25f7401a1062e3bf65aa5dbc85 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=82=A2=E6=96=87=E6=A0=8B?= <13298410087@163.com>
Date: Thu, 31 Mar 2022 03:03:28 +0000
Subject: [PATCH 24/33] dynamic_input

---
 .../2D_Unet_ID2337_for_TensorFlow/test/train_performance_1p.sh  | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/test/train_performance_1p.sh b/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/test/train_performance_1p.sh
index 88b902cb7..af0e060ca 100644
--- a/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/test/train_performance_1p.sh
+++ b/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/test/train_performance_1p.sh
@@ -1,6 +1,8 @@
 #!/bin/bash
 cur_path=`pwd`/../
 
+export ASCEND_SLOG_PRINT_TO_STDOUT=1
+export ASCEND_GLOBAL_LOG_LEVEL=0
 #基础参数，需要模型审视修改
 #Batch Size
 batch_size=2
-- 
Gitee


From 406588dc06e6d0297536bc18bce01e544aed990f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=82=A2=E6=96=87=E6=A0=8B?= <13298410087@163.com>
Date: Wed, 6 Apr 2022 01:48:32 +0000
Subject: [PATCH 25/33] dynamic_input

---
 .../OSMN_ID1103_for_TensorFlow/test/train_performance_1p.sh     | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/TensorFlow/built-in/cv/image_segmentation/OSMN_ID1103_for_TensorFlow/test/train_performance_1p.sh b/TensorFlow/built-in/cv/image_segmentation/OSMN_ID1103_for_TensorFlow/test/train_performance_1p.sh
index 5e1b04e5e..06f15be3a 100644
--- a/TensorFlow/built-in/cv/image_segmentation/OSMN_ID1103_for_TensorFlow/test/train_performance_1p.sh
+++ b/TensorFlow/built-in/cv/image_segmentation/OSMN_ID1103_for_TensorFlow/test/train_performance_1p.sh
@@ -1,6 +1,8 @@
 #!/bin/bash
 cur_path=`pwd`/../
 #export ASCEND_DEVICE_ID=3
+export ASCEND_SLOG_PRINT_TO_STDOUT=1
+export ASCEND_GLOBAL_LOG_LEVEL=0
 
 #基础参数，需要模型审视修改
 #Batch Size
-- 
Gitee


From ba6eae9a65443baa5c5659b0335b3dd53ce5e589 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=82=A2=E6=96=87=E6=A0=8B?= <13298410087@163.com>
Date: Wed, 6 Apr 2022 07:50:37 +0000
Subject: [PATCH 26/33] dynamic_input

---
 .../image_segmentation/2D_Unet_ID2337_for_TensorFlow/model.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/model.py b/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/model.py
index 310f7a7de..e6b1199d4 100644
--- a/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/model.py
+++ b/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/model.py
@@ -66,12 +66,12 @@ def unet(pretrained_weights = None,input_size = (256,256,1)):
     pool3 = MaxPooling2D(pool_size=(2, 2))(conv3)
     conv4 = Conv2D(512, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool3)
     conv4 = Conv2D(512, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv4)
-    drop4 = Dropout(0.5)(conv4)
+    drop4 = npu_opt.dropout(0.5)(conv4)
     pool4 = MaxPooling2D(pool_size=(2, 2))(drop4)
 
     conv5 = Conv2D(1024, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool4)
     conv5 = Conv2D(1024, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv5)
-    drop5 = Dropout(0.5)(conv5)
+    drop5 = npu_opt.dropout(0.5)(conv5)
 
     up6 = Conv2D(512, 2, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(UpSampling2D(size = (2,2))(drop5))
     merge6 = concatenate([drop4,up6], axis = 3)
-- 
Gitee


From b18fa1b8232b545c9e3eb8744269c564ac06ed96 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=82=A2=E6=96=87=E6=A0=8B?= <13298410087@163.com>
Date: Thu, 7 Apr 2022 00:05:18 +0000
Subject: [PATCH 27/33] dynamic_input

---
 .../image_segmentation/2D_Unet_ID2337_for_TensorFlow/model.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/model.py b/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/model.py
index e6b1199d4..6cc5f4bb2 100644
--- a/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/model.py
+++ b/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/model.py
@@ -66,12 +66,12 @@ def unet(pretrained_weights = None,input_size = (256,256,1)):
     pool3 = MaxPooling2D(pool_size=(2, 2))(conv3)
     conv4 = Conv2D(512, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool3)
     conv4 = Conv2D(512, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv4)
-    drop4 = npu_opt.dropout(0.5)(conv4)
+    drop4 = npu_ops.dropout(0.5)(conv4)
     pool4 = MaxPooling2D(pool_size=(2, 2))(drop4)
 
     conv5 = Conv2D(1024, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool4)
     conv5 = Conv2D(1024, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv5)
-    drop5 = npu_opt.dropout(0.5)(conv5)
+    drop5 = npu_ops.dropout(0.5)(conv5)
 
     up6 = Conv2D(512, 2, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(UpSampling2D(size = (2,2))(drop5))
     merge6 = concatenate([drop4,up6], axis = 3)
-- 
Gitee


From 80011f468da07a5eabd4ec8e2a48f0ff467b2c27 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=82=A2=E6=96=87=E6=A0=8B?= <13298410087@163.com>
Date: Thu, 7 Apr 2022 01:08:48 +0000
Subject: [PATCH 28/33] dynamic_input

---
 .../2D_Unet_ID2337_for_TensorFlow/model.py                  | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/model.py b/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/model.py
index 6cc5f4bb2..2e421a736 100644
--- a/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/model.py
+++ b/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/model.py
@@ -66,12 +66,14 @@ def unet(pretrained_weights = None,input_size = (256,256,1)):
     pool3 = MaxPooling2D(pool_size=(2, 2))(conv3)
     conv4 = Conv2D(512, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool3)
     conv4 = Conv2D(512, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv4)
-    drop4 = npu_ops.dropout(0.5)(conv4)
+    # drop4 = npu_ops.dropout(0.5)(conv4)
+    drop4 = npu_ops.dropout(conv4, 0.5)
     pool4 = MaxPooling2D(pool_size=(2, 2))(drop4)
 
     conv5 = Conv2D(1024, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool4)
     conv5 = Conv2D(1024, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv5)
-    drop5 = npu_ops.dropout(0.5)(conv5)
+    # drop5 = npu_ops.dropout(0.5)(conv5)
+    drop5 = npu_ops.dropout(conv5, 0.5)
 
     up6 = Conv2D(512, 2, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(UpSampling2D(size = (2,2))(drop5))
     merge6 = concatenate([drop4,up6], axis = 3)
-- 
Gitee


From c6653073d328eb179bbf232d038c1d3bf4d5048e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=82=A2=E6=96=87=E6=A0=8B?= <13298410087@163.com>
Date: Thu, 7 Apr 2022 02:29:29 +0000
Subject: [PATCH 29/33] dynamic_input

---
 .../2D_Unet_ID2337_for_TensorFlow/model.py                | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/model.py b/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/model.py
index 2e421a736..0642b371f 100644
--- a/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/model.py
+++ b/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/model.py
@@ -66,14 +66,14 @@ def unet(pretrained_weights = None,input_size = (256,256,1)):
     pool3 = MaxPooling2D(pool_size=(2, 2))(conv3)
     conv4 = Conv2D(512, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool3)
     conv4 = Conv2D(512, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv4)
-    # drop4 = npu_ops.dropout(0.5)(conv4)
-    drop4 = npu_ops.dropout(conv4, 0.5)
+    drop4 = npu_ops.dropout(0.5)(conv4)
+    # drop4 = npu_ops.dropout(conv4, 0.5)
     pool4 = MaxPooling2D(pool_size=(2, 2))(drop4)
 
     conv5 = Conv2D(1024, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool4)
     conv5 = Conv2D(1024, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv5)
-    # drop5 = npu_ops.dropout(0.5)(conv5)
-    drop5 = npu_ops.dropout(conv5, 0.5)
+    drop5 = npu_ops.dropout(0.5)(conv5)
+    # drop5 = npu_ops.dropout(conv5, 0.5)
 
     up6 = Conv2D(512, 2, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(UpSampling2D(size = (2,2))(drop5))
     merge6 = concatenate([drop4,up6], axis = 3)
-- 
Gitee


From 6d6adcd41e449c34d4a5263924429722ca60e43e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=82=A2=E6=96=87=E6=A0=8B?= <13298410087@163.com>
Date: Thu, 7 Apr 2022 02:31:59 +0000
Subject: [PATCH 30/33] dynamic_input

---
 .../2D_Unet_ID2337_for_TensorFlow/model.py                  | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/model.py b/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/model.py
index 0642b371f..aef13db31 100644
--- a/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/model.py
+++ b/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/model.py
@@ -66,13 +66,15 @@ def unet(pretrained_weights = None,input_size = (256,256,1)):
     pool3 = MaxPooling2D(pool_size=(2, 2))(conv3)
     conv4 = Conv2D(512, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool3)
     conv4 = Conv2D(512, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv4)
-    drop4 = npu_ops.dropout(0.5)(conv4)
+    drop4 = Dropout(0.5)(conv4)
+    # drop4 = npu_ops.dropout(0.5)(conv4)
     # drop4 = npu_ops.dropout(conv4, 0.5)
     pool4 = MaxPooling2D(pool_size=(2, 2))(drop4)
 
     conv5 = Conv2D(1024, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool4)
     conv5 = Conv2D(1024, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv5)
-    drop5 = npu_ops.dropout(0.5)(conv5)
+    drop5 = Dropout(0.5)(conv5)
+    # drop5 = npu_ops.dropout(0.5)(conv5)
     # drop5 = npu_ops.dropout(conv5, 0.5)
 
     up6 = Conv2D(512, 2, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(UpSampling2D(size = (2,2))(drop5))
-- 
Gitee


From 72fa4dfd602057d036af0861d063d3cc1e200d89 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=82=A2=E6=96=87=E6=A0=8B?= <13298410087@163.com>
Date: Thu, 7 Apr 2022 03:02:51 +0000
Subject: [PATCH 31/33] dynamic_input

---
 .../2D_Unet_ID2337_for_TensorFlow/model.py                 | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/model.py b/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/model.py
index aef13db31..a5344b2ea 100644
--- a/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/model.py
+++ b/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/model.py
@@ -28,6 +28,7 @@
 # limitations under the License.
 #
 from npu_bridge.npu_init import *
+from npu_bridge.estimator.npu import npu_convert_dropout
 import numpy as np
 import os
 import skimage.io as io
@@ -66,16 +67,18 @@ def unet(pretrained_weights = None,input_size = (256,256,1)):
     pool3 = MaxPooling2D(pool_size=(2, 2))(conv3)
     conv4 = Conv2D(512, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool3)
     conv4 = Conv2D(512, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv4)
-    drop4 = Dropout(0.5)(conv4)
+    # drop4 = Dropout(0.5)(conv4)
     # drop4 = npu_ops.dropout(0.5)(conv4)
     # drop4 = npu_ops.dropout(conv4, 0.5)
+    drop4 = tf.keras.layers.Dropout(0.5)(conv4)
     pool4 = MaxPooling2D(pool_size=(2, 2))(drop4)
 
     conv5 = Conv2D(1024, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool4)
     conv5 = Conv2D(1024, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv5)
-    drop5 = Dropout(0.5)(conv5)
+    # drop5 = Dropout(0.5)(conv5)
     # drop5 = npu_ops.dropout(0.5)(conv5)
     # drop5 = npu_ops.dropout(conv5, 0.5)
+    drop5 = tf.keras.layers.Dropout(0.5)(conv5)
 
     up6 = Conv2D(512, 2, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(UpSampling2D(size = (2,2))(drop5))
     merge6 = concatenate([drop4,up6], axis = 3)
-- 
Gitee


From b86b60f8879a9de648caaea780802620237be147 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=82=A2=E6=96=87=E6=A0=8B?= <13298410087@163.com>
Date: Thu, 7 Apr 2022 06:04:30 +0000
Subject: [PATCH 32/33] dynamic_input

---
 .../2D_Unet_ID2337_for_TensorFlow/model.py                | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/model.py b/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/model.py
index a5344b2ea..597ae0418 100644
--- a/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/model.py
+++ b/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/model.py
@@ -67,18 +67,18 @@ def unet(pretrained_weights = None,input_size = (256,256,1)):
     pool3 = MaxPooling2D(pool_size=(2, 2))(conv3)
     conv4 = Conv2D(512, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool3)
     conv4 = Conv2D(512, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv4)
-    # drop4 = Dropout(0.5)(conv4)
+    drop4 = Dropout(0.5)(conv4)
     # drop4 = npu_ops.dropout(0.5)(conv4)
     # drop4 = npu_ops.dropout(conv4, 0.5)
-    drop4 = tf.keras.layers.Dropout(0.5)(conv4)
+    # drop4 = tf.keras.layers.Dropout(0.5)(conv4)
     pool4 = MaxPooling2D(pool_size=(2, 2))(drop4)
 
     conv5 = Conv2D(1024, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool4)
     conv5 = Conv2D(1024, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv5)
-    # drop5 = Dropout(0.5)(conv5)
+    drop5 = Dropout(0.5)(conv5)
     # drop5 = npu_ops.dropout(0.5)(conv5)
     # drop5 = npu_ops.dropout(conv5, 0.5)
-    drop5 = tf.keras.layers.Dropout(0.5)(conv5)
+    # drop5 = tf.keras.layers.Dropout(0.5)(conv5)
 
     up6 = Conv2D(512, 2, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(UpSampling2D(size = (2,2))(drop5))
     merge6 = concatenate([drop4,up6], axis = 3)
-- 
Gitee


From 1740a6c6654ba0516deee1d5e5951f2d7763bf8c Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=82=A2=E6=96=87=E6=A0=8B?= <13298410087@163.com>
Date: Thu, 7 Apr 2022 07:03:31 +0000
Subject: [PATCH 33/33] dynamic_input

---
 .../2D_Unet_ID2337_for_TensorFlow/test/train_performance_1p.sh  | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/test/train_performance_1p.sh b/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/test/train_performance_1p.sh
index af0e060ca..7e23b40fe 100644
--- a/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/test/train_performance_1p.sh
+++ b/TensorFlow/built-in/cv/image_segmentation/2D_Unet_ID2337_for_TensorFlow/test/train_performance_1p.sh
@@ -22,6 +22,8 @@ learning_rate=
 data_path=""
 dynamic_input="1"
 
+source /usr/local/Ascend/latest/bin/setenv.bash
+
 if [[ $1 == --help || $1 == --h ]];then
    echo "usage:./train_performance_1p.sh --data_path=./datasets"
    exit 1
-- 
Gitee