diff --git a/TensorFlow2/built-in/cv/image_classification/ResNet50_ID0360_for_TensorFlow2.X/test/set_ranktable.py b/TensorFlow2/built-in/cv/image_classification/ResNet50_ID0360_for_TensorFlow2.X/test/set_ranktable.py
new file mode 100644
index 0000000000000000000000000000000000000000..216dd25a50fac45e841830d0d7c1b0e51433919d
--- /dev/null
+++ b/TensorFlow2/built-in/cv/image_classification/ResNet50_ID0360_for_TensorFlow2.X/test/set_ranktable.py
@@ -0,0 +1,1740 @@
+import argparse
+parser = argparse.ArgumentParser()
+parser.add_argument('-n', '--npu_nums', type=int, default='2', help='nums of npu')
+parser.add_argument('-c', '--conf_path', type=str, default='./', help='the path of server_info')
+FLAGS = parser.parse_args()
+
+import json
+import os
+server = []
+server_conf = []
+server_list = ["0", "1", "2", "3", "4", "5", "6", "7"]
+if os.path.isdir(FLAGS.conf_path):
+	for f in os.listdir(FLAGS.conf_path):
+		if (f.split("_")[-1]).split(".")[0] in server_list and (f.split("_")[-1]).split(".")[1] == 'info' and f.split("_")[0] == 'server':
+			server_conf.append(f)
+			
+
+
+
+
+
+rank_address = []
+for i in range(FLAGS.npu_nums):
+	for x in server_conf:
+		if (x.split("_")[-1]).split(".")[0] == str(i):
+			server.append(x.split("_")[1])
+			l = FLAGS.conf_path + "/" + x
+			with open(l, "r") as a:
+				s = a.readlines()
+				for s_ in s:
+					if 'address_0' in s_:
+						rank_address.append(s_.split("=")[-1][:-1])
+				for s_ in s:
+					if 'address_1' in s_:
+						rank_address.append(s_.split("=")[-1][:-1])
+				for s_ in s:
+					if 'address_2' in s_:
+						rank_address.append(s_.split("=")[-1][:-1])
+				for s_ in s:
+					if 'address_3' in s_:
+						rank_address.append(s_.split("=")[-1][:-1])
+				for s_ in s:
+					if 'address_4' in s_:
+						rank_address.append(s_.split("=")[-1][:-1])
+				for s_ in s:
+					if 'address_5' in s_:
+						rank_address.append(s_.split("=")[-1][:-1])
+				for s_ in s:
+					if 'address_6' in s_:
+						rank_address.append(s_.split("=")[-1][:-1])
+				for s_ in s:
+					if 'address_7' in s_:
+						rank_address.append(s_.split("=")[-1][:-1])
+			
+if FLAGS.npu_nums == 1:
+	rank = {
+		"server_count":"1",
+		"server_list":[
+			{
+				"server_id":server[0],
+				"device":[
+					{
+						"device_id":"0",
+						"device_ip":rank_address[0],
+						"rank_id":"0"
+					},
+					{
+						"device_id":"1",
+						"device_ip":rank_address[1],
+						"rank_id":"1"
+					},
+					{
+						"device_id":"2",
+						"device_ip":rank_address[2],
+						"rank_id":"2"
+					},
+					{
+						"device_id":"3",
+						"device_ip":rank_address[3],
+						"rank_id":"3"
+					},
+					{
+						"device_id":"4",
+						"device_ip":rank_address[4],
+						"rank_id":"4"
+					},
+					{
+						"device_id":"5",
+						"device_ip":rank_address[5],
+						"rank_id":"5"
+					},
+					{
+						"device_id":"6",
+						"device_ip":rank_address[6],
+						"rank_id":"6"
+					},
+					{
+						"device_id":"7",
+						"device_ip":rank_address[7],
+						"rank_id":"7"
+					}
+				]}],
+		"status":"completed",
+		"version":"1.0"
+	}
+elif FLAGS.npu_nums == 2:
+	rank = {
+		"server_count":"2",
+		"server_list":[
+			{
+				"server_id":server[0],
+				"device":[
+					{
+						"device_id":"0",
+						"device_ip":rank_address[0],
+						"rank_id":"0"
+					},
+					{
+						"device_id":"1",
+						"device_ip":rank_address[1],
+						"rank_id":"1"
+					},
+					{
+						"device_id":"2",
+						"device_ip":rank_address[2],
+						"rank_id":"2"
+					},
+					{
+						"device_id":"3",
+						"device_ip":rank_address[3],
+						"rank_id":"3"
+					},
+					{
+						"device_id":"4",
+						"device_ip":rank_address[4],
+						"rank_id":"4"
+					},
+					{
+						"device_id":"5",
+						"device_ip":rank_address[5],
+						"rank_id":"5"
+					},
+					{
+						"device_id":"6",
+						"device_ip":rank_address[6],
+						"rank_id":"6"
+					},
+					{
+						"device_id":"7",
+						"device_ip":rank_address[7],
+						"rank_id":"7"
+					}
+				]},
+				
+				
+				{
+				"server_id":server[1],
+				"device":[
+					{
+						"device_id":"0",
+						"device_ip":rank_address[8],
+						"rank_id":"8"
+					},
+					{
+						"device_id":"1",
+						"device_ip":rank_address[9],
+						"rank_id":"9"
+					},
+					{
+						"device_id":"2",
+						"device_ip":rank_address[10],
+						"rank_id":"10"
+					},
+					{
+						"device_id":"3",
+						"device_ip":rank_address[11],
+						"rank_id":"11"
+					},
+					{
+						"device_id":"4",
+						"device_ip":rank_address[12],
+						"rank_id":"12"
+					},
+					{
+						"device_id":"5",
+						"device_ip":rank_address[13],
+						"rank_id":"13"
+					},
+					{
+						"device_id":"6",
+						"device_ip":rank_address[14],
+						"rank_id":"14"
+					},
+					{
+						"device_id":"7",
+						"device_ip":rank_address[15],
+						"rank_id":"15"
+					}
+				]}
+				],
+		
+		"status":"completed",
+		"version":"1.0"
+	}
+	
+	
+elif FLAGS.npu_nums == 3:
+	rank = {
+		"server_count":"3",
+		"server_list":[
+			{
+				"server_id":server[0],
+				"device":[
+					{
+						"device_id":"0",
+						"device_ip":rank_address[0],
+						"rank_id":"0"
+					},
+					{
+						"device_id":"1",
+						"device_ip":rank_address[1],
+						"rank_id":"1"
+					},
+					{
+						"device_id":"2",
+						"device_ip":rank_address[2],
+						"rank_id":"2"
+					},
+					{
+						"device_id":"3",
+						"device_ip":rank_address[3],
+						"rank_id":"3"
+					},
+					{
+						"device_id":"4",
+						"device_ip":rank_address[4],
+						"rank_id":"4"
+					},
+					{
+						"device_id":"5",
+						"device_ip":rank_address[5],
+						"rank_id":"5"
+					},
+					{
+						"device_id":"6",
+						"device_ip":rank_address[6],
+						"rank_id":"6"
+					},
+					{
+						"device_id":"7",
+						"device_ip":rank_address[7],
+						"rank_id":"7"
+					}
+				]},
+				
+				
+				{
+				"server_id":server[1],
+				"device":[
+					{
+						"device_id":"0",
+						"device_ip":rank_address[8],
+						"rank_id":"8"
+					},
+					{
+						"device_id":"1",
+						"device_ip":rank_address[9],
+						"rank_id":"9"
+					},
+					{
+						"device_id":"2",
+						"device_ip":rank_address[10],
+						"rank_id":"10"
+					},
+					{
+						"device_id":"3",
+						"device_ip":rank_address[11],
+						"rank_id":"11"
+					},
+					{
+						"device_id":"4",
+						"device_ip":rank_address[12],
+						"rank_id":"12"
+					},
+					{
+						"device_id":"5",
+						"device_ip":rank_address[13],
+						"rank_id":"13"
+					},
+					{
+						"device_id":"6",
+						"device_ip":rank_address[14],
+						"rank_id":"14"
+					},
+					{
+						"device_id":"7",
+						"device_ip":rank_address[15],
+						"rank_id":"15"
+					}
+				]},
+				
+				{
+				"server_id":server[2],
+				"device":[
+					{
+						"device_id":"0",
+						"device_ip":rank_address[16],
+						"rank_id":"16"
+					},
+					{
+						"device_id":"1",
+						"device_ip":rank_address[17],
+						"rank_id":"17"
+					},
+					{
+						"device_id":"2",
+						"device_ip":rank_address[18],
+						"rank_id":"18"
+					},
+					{
+						"device_id":"3",
+						"device_ip":rank_address[19],
+						"rank_id":"19"
+					},
+					{
+						"device_id":"4",
+						"device_ip":rank_address[20],
+						"rank_id":"20"
+					},
+					{
+						"device_id":"5",
+						"device_ip":rank_address[21],
+						"rank_id":"21"
+					},
+					{
+						"device_id":"6",
+						"device_ip":rank_address[22],
+						"rank_id":"22"
+					},
+					{
+						"device_id":"7",
+						"device_ip":rank_address[23],
+						"rank_id":"23"
+					}
+				]}
+				],
+		"status":"completed",
+		"version":"1.0"
+	}
+elif FLAGS.npu_nums == 4:
+	rank = {
+		"server_count":"4",
+		"server_list":[
+			{
+				"server_id":server[0],
+				"device":[
+					{
+						"device_id":"0",
+						"device_ip":rank_address[0],
+						"rank_id":"0"
+					},
+					{
+						"device_id":"1",
+						"device_ip":rank_address[1],
+						"rank_id":"1"
+					},
+					{
+						"device_id":"2",
+						"device_ip":rank_address[2],
+						"rank_id":"2"
+					},
+					{
+						"device_id":"3",
+						"device_ip":rank_address[3],
+						"rank_id":"3"
+					},
+					{
+						"device_id":"4",
+						"device_ip":rank_address[4],
+						"rank_id":"4"
+					},
+					{
+						"device_id":"5",
+						"device_ip":rank_address[5],
+						"rank_id":"5"
+					},
+					{
+						"device_id":"6",
+						"device_ip":rank_address[6],
+						"rank_id":"6"
+					},
+					{
+						"device_id":"7",
+						"device_ip":rank_address[7],
+						"rank_id":"7"
+					}
+				]},
+				
+				
+				{
+				"server_id":server[1],
+				"device":[
+					{
+						"device_id":"0",
+						"device_ip":rank_address[8],
+						"rank_id":"8"
+					},
+					{
+						"device_id":"1",
+						"device_ip":rank_address[9],
+						"rank_id":"9"
+					},
+					{
+						"device_id":"2",
+						"device_ip":rank_address[10],
+						"rank_id":"10"
+					},
+					{
+						"device_id":"3",
+						"device_ip":rank_address[11],
+						"rank_id":"11"
+					},
+					{
+						"device_id":"4",
+						"device_ip":rank_address[12],
+						"rank_id":"12"
+					},
+					{
+						"device_id":"5",
+						"device_ip":rank_address[13],
+						"rank_id":"13"
+					},
+					{
+						"device_id":"6",
+						"device_ip":rank_address[14],
+						"rank_id":"14"
+					},
+					{
+						"device_id":"7",
+						"device_ip":rank_address[15],
+						"rank_id":"15"
+					}
+				]},
+				{
+				"server_id":server[2],
+				"device":[
+					{
+						"device_id":"0",
+						"device_ip":rank_address[16],
+						"rank_id":"16"
+					},
+					{
+						"device_id":"1",
+						"device_ip":rank_address[17],
+						"rank_id":"17"
+					},
+					{
+						"device_id":"2",
+						"device_ip":rank_address[18],
+						"rank_id":"18"
+					},
+					{
+						"device_id":"3",
+						"device_ip":rank_address[19],
+						"rank_id":"19"
+					},
+					{
+						"device_id":"4",
+						"device_ip":rank_address[20],
+						"rank_id":"20"
+					},
+					{
+						"device_id":"5",
+						"device_ip":rank_address[21],
+						"rank_id":"21"
+					},
+					{
+						"device_id":"6",
+						"device_ip":rank_address[22],
+						"rank_id":"22"
+					},
+					{
+						"device_id":"7",
+						"device_ip":rank_address[23],
+						"rank_id":"23"
+					}
+				]},
+				{
+				"server_id":server[3],
+				"device":[
+					{
+						"device_id":"0",
+						"device_ip":rank_address[24],
+						"rank_id":"24"
+					},
+					{
+						"device_id":"1",
+						"device_ip":rank_address[25],
+						"rank_id":"25"
+					},
+					{
+						"device_id":"2",
+						"device_ip":rank_address[26],
+						"rank_id":"26"
+					},
+					{
+						"device_id":"3",
+						"device_ip":rank_address[27],
+						"rank_id":"27"
+					},
+					{
+						"device_id":"4",
+						"device_ip":rank_address[28],
+						"rank_id":"28"
+					},
+					{
+						"device_id":"5",
+						"device_ip":rank_address[29],
+						"rank_id":"29"
+					},
+					{
+						"device_id":"6",
+						"device_ip":rank_address[30],
+						"rank_id":"30"
+					},
+					{
+						"device_id":"7",
+						"device_ip":rank_address[31],
+						"rank_id":"31"
+					}
+				]}
+				],
+		"status":"completed",
+		"version":"1.0"
+	}
+elif FLAGS.npu_nums == 5:
+	rank = {
+		"server_count":"5",
+		"server_list":[
+			{
+				"server_id":server[0],
+				"device":[
+					{
+						"device_id":"0",
+						"device_ip":rank_address[0],
+						"rank_id":"0"
+					},
+					{
+						"device_id":"1",
+						"device_ip":rank_address[1],
+						"rank_id":"1"
+					},
+					{
+						"device_id":"2",
+						"device_ip":rank_address[2],
+						"rank_id":"2"
+					},
+					{
+						"device_id":"3",
+						"device_ip":rank_address[3],
+						"rank_id":"3"
+					},
+					{
+						"device_id":"4",
+						"device_ip":rank_address[4],
+						"rank_id":"4"
+					},
+					{
+						"device_id":"5",
+						"device_ip":rank_address[5],
+						"rank_id":"5"
+					},
+					{
+						"device_id":"6",
+						"device_ip":rank_address[6],
+						"rank_id":"6"
+					},
+					{
+						"device_id":"7",
+						"device_ip":rank_address[7],
+						"rank_id":"7"
+					}
+				]},
+				
+				
+				{
+				"server_id":server[1],
+				"device":[
+					{
+						"device_id":"0",
+						"device_ip":rank_address[8],
+						"rank_id":"8"
+					},
+					{
+						"device_id":"1",
+						"device_ip":rank_address[9],
+						"rank_id":"9"
+					},
+					{
+						"device_id":"2",
+						"device_ip":rank_address[10],
+						"rank_id":"10"
+					},
+					{
+						"device_id":"3",
+						"device_ip":rank_address[11],
+						"rank_id":"11"
+					},
+					{
+						"device_id":"4",
+						"device_ip":rank_address[12],
+						"rank_id":"12"
+					},
+					{
+						"device_id":"5",
+						"device_ip":rank_address[13],
+						"rank_id":"13"
+					},
+					{
+						"device_id":"6",
+						"device_ip":rank_address[14],
+						"rank_id":"14"
+					},
+					{
+						"device_id":"7",
+						"device_ip":rank_address[15],
+						"rank_id":"15"
+					}
+				]},
+				{
+				"server_id":server[2],
+				"device":[
+					{
+						"device_id":"0",
+						"device_ip":rank_address[16],
+						"rank_id":"16"
+					},
+					{
+						"device_id":"1",
+						"device_ip":rank_address[17],
+						"rank_id":"17"
+					},
+					{
+						"device_id":"2",
+						"device_ip":rank_address[18],
+						"rank_id":"18"
+					},
+					{
+						"device_id":"3",
+						"device_ip":rank_address[19],
+						"rank_id":"19"
+					},
+					{
+						"device_id":"4",
+						"device_ip":rank_address[20],
+						"rank_id":"20"
+					},
+					{
+						"device_id":"5",
+						"device_ip":rank_address[21],
+						"rank_id":"21"
+					},
+					{
+						"device_id":"6",
+						"device_ip":rank_address[22],
+						"rank_id":"22"
+					},
+					{
+						"device_id":"7",
+						"device_ip":rank_address[23],
+						"rank_id":"23"
+					}
+				]},
+				{
+				"server_id":server[3],
+				"device":[
+					{
+						"device_id":"0",
+						"device_ip":rank_address[24],
+						"rank_id":"24"
+					},
+					{
+						"device_id":"1",
+						"device_ip":rank_address[25],
+						"rank_id":"25"
+					},
+					{
+						"device_id":"2",
+						"device_ip":rank_address[26],
+						"rank_id":"26"
+					},
+					{
+						"device_id":"3",
+						"device_ip":rank_address[27],
+						"rank_id":"27"
+					},
+					{
+						"device_id":"4",
+						"device_ip":rank_address[28],
+						"rank_id":"28"
+					},
+					{
+						"device_id":"5",
+						"device_ip":rank_address[29],
+						"rank_id":"29"
+					},
+					{
+						"device_id":"6",
+						"device_ip":rank_address[30],
+						"rank_id":"30"
+					},
+					{
+						"device_id":"7",
+						"device_ip":rank_address[31],
+						"rank_id":"31"
+					}
+				]},
+				{
+				"server_id":server[4],
+				"device":[
+					{
+						"device_id":"0",
+						"device_ip":rank_address[32],
+						"rank_id":"32"
+					},
+					{
+						"device_id":"1",
+						"device_ip":rank_address[33],
+						"rank_id":"33"
+					},
+					{
+						"device_id":"2",
+						"device_ip":rank_address[34],
+						"rank_id":"34"
+					},
+					{
+						"device_id":"3",
+						"device_ip":rank_address[35],
+						"rank_id":"35"
+					},
+					{
+						"device_id":"4",
+						"device_ip":rank_address[36],
+						"rank_id":"36"
+					},
+					{
+						"device_id":"5",
+						"device_ip":rank_address[37],
+						"rank_id":"37"
+					},
+					{
+						"device_id":"6",
+						"device_ip":rank_address[38],
+						"rank_id":"38"
+					},
+					{
+						"device_id":"7",
+						"device_ip":rank_address[39],
+						"rank_id":"39"
+					}
+				]}
+				],
+		"status":"completed",
+		"version":"1.0"
+	}
+
+
+
+elif FLAGS.npu_nums == 6:
+	rank = {
+		"server_count":"6",
+		"server_list":[
+			{
+				"server_id":server[0],
+				"device":[
+					{
+						"device_id":"0",
+						"device_ip":rank_address[0],
+						"rank_id":"0"
+					},
+					{
+						"device_id":"1",
+						"device_ip":rank_address[1],
+						"rank_id":"1"
+					},
+					{
+						"device_id":"2",
+						"device_ip":rank_address[2],
+						"rank_id":"2"
+					},
+					{
+						"device_id":"3",
+						"device_ip":rank_address[3],
+						"rank_id":"3"
+					},
+					{
+						"device_id":"4",
+						"device_ip":rank_address[4],
+						"rank_id":"4"
+					},
+					{
+						"device_id":"5",
+						"device_ip":rank_address[5],
+						"rank_id":"5"
+					},
+					{
+						"device_id":"6",
+						"device_ip":rank_address[6],
+						"rank_id":"6"
+					},
+					{
+						"device_id":"7",
+						"device_ip":rank_address[7],
+						"rank_id":"7"
+					}
+				]},
+				
+				
+				{
+				"server_id":server[1],
+				"device":[
+					{
+						"device_id":"0",
+						"device_ip":rank_address[8],
+						"rank_id":"8"
+					},
+					{
+						"device_id":"1",
+						"device_ip":rank_address[9],
+						"rank_id":"9"
+					},
+					{
+						"device_id":"2",
+						"device_ip":rank_address[10],
+						"rank_id":"10"
+					},
+					{
+						"device_id":"3",
+						"device_ip":rank_address[11],
+						"rank_id":"11"
+					},
+					{
+						"device_id":"4",
+						"device_ip":rank_address[12],
+						"rank_id":"12"
+					},
+					{
+						"device_id":"5",
+						"device_ip":rank_address[13],
+						"rank_id":"13"
+					},
+					{
+						"device_id":"6",
+						"device_ip":rank_address[14],
+						"rank_id":"14"
+					},
+					{
+						"device_id":"7",
+						"device_ip":rank_address[15],
+						"rank_id":"15"
+					}
+				]},
+				{
+				"server_id":server[2],
+				"device":[
+					{
+						"device_id":"0",
+						"device_ip":rank_address[16],
+						"rank_id":"16"
+					},
+					{
+						"device_id":"1",
+						"device_ip":rank_address[17],
+						"rank_id":"17"
+					},
+					{
+						"device_id":"2",
+						"device_ip":rank_address[18],
+						"rank_id":"18"
+					},
+					{
+						"device_id":"3",
+						"device_ip":rank_address[19],
+						"rank_id":"19"
+					},
+					{
+						"device_id":"4",
+						"device_ip":rank_address[20],
+						"rank_id":"20"
+					},
+					{
+						"device_id":"5",
+						"device_ip":rank_address[21],
+						"rank_id":"21"
+					},
+					{
+						"device_id":"6",
+						"device_ip":rank_address[22],
+						"rank_id":"22"
+					},
+					{
+						"device_id":"7",
+						"device_ip":rank_address[23],
+						"rank_id":"23"
+					}
+				]},
+				{
+				"server_id":server[3],
+				"device":[
+					{
+						"device_id":"0",
+						"device_ip":rank_address[24],
+						"rank_id":"24"
+					},
+					{
+						"device_id":"1",
+						"device_ip":rank_address[25],
+						"rank_id":"25"
+					},
+					{
+						"device_id":"2",
+						"device_ip":rank_address[26],
+						"rank_id":"26"
+					},
+					{
+						"device_id":"3",
+						"device_ip":rank_address[27],
+						"rank_id":"27"
+					},
+					{
+						"device_id":"4",
+						"device_ip":rank_address[28],
+						"rank_id":"28"
+					},
+					{
+						"device_id":"5",
+						"device_ip":rank_address[29],
+						"rank_id":"29"
+					},
+					{
+						"device_id":"6",
+						"device_ip":rank_address[30],
+						"rank_id":"30"
+					},
+					{
+						"device_id":"7",
+						"device_ip":rank_address[31],
+						"rank_id":"31"
+					}
+				]},
+				{
+				"server_id":server[4],
+				"device":[
+					{
+						"device_id":"0",
+						"device_ip":rank_address[32],
+						"rank_id":"32"
+					},
+					{
+						"device_id":"1",
+						"device_ip":rank_address[33],
+						"rank_id":"33"
+					},
+					{
+						"device_id":"2",
+						"device_ip":rank_address[34],
+						"rank_id":"34"
+					},
+					{
+						"device_id":"3",
+						"device_ip":rank_address[35],
+						"rank_id":"35"
+					},
+					{
+						"device_id":"4",
+						"device_ip":rank_address[36],
+						"rank_id":"36"
+					},
+					{
+						"device_id":"5",
+						"device_ip":rank_address[37],
+						"rank_id":"37"
+					},
+					{
+						"device_id":"6",
+						"device_ip":rank_address[38],
+						"rank_id":"38"
+					},
+					{
+						"device_id":"7",
+						"device_ip":rank_address[39],
+						"rank_id":"39"
+					}
+				]},
+				{
+				"server_id":server[5],
+				"device":[
+					{
+						"device_id":"0",
+						"device_ip":rank_address[40],
+						"rank_id":"40"
+					},
+					{
+						"device_id":"1",
+						"device_ip":rank_address[41],
+						"rank_id":"41"
+					},
+					{
+						"device_id":"2",
+						"device_ip":rank_address[42],
+						"rank_id":"42"
+					},
+					{
+						"device_id":"3",
+						"device_ip":rank_address[43],
+						"rank_id":"43"
+					},
+					{
+						"device_id":"4",
+						"device_ip":rank_address[44],
+						"rank_id":"44"
+					},
+					{
+						"device_id":"5",
+						"device_ip":rank_address[45],
+						"rank_id":"45"
+					},
+					{
+						"device_id":"6",
+						"device_ip":rank_address[46],
+						"rank_id":"46"
+					},
+					{
+						"device_id":"7",
+						"device_ip":rank_address[47],
+						"rank_id":"47"
+					}
+				]}
+				],
+		"status":"completed",
+		"version":"1.0"
+	}
+	
+	
+elif FLAGS.npu_nums == 7:
+	rank = {
+		"server_count":"7",
+		"server_list":[
+			{
+				"server_id":server[0],
+				"device":[
+					{
+						"device_id":"0",
+						"device_ip":rank_address[0],
+						"rank_id":"0"
+					},
+					{
+						"device_id":"1",
+						"device_ip":rank_address[1],
+						"rank_id":"1"
+					},
+					{
+						"device_id":"2",
+						"device_ip":rank_address[2],
+						"rank_id":"2"
+					},
+					{
+						"device_id":"3",
+						"device_ip":rank_address[3],
+						"rank_id":"3"
+					},
+					{
+						"device_id":"4",
+						"device_ip":rank_address[4],
+						"rank_id":"4"
+					},
+					{
+						"device_id":"5",
+						"device_ip":rank_address[5],
+						"rank_id":"5"
+					},
+					{
+						"device_id":"6",
+						"device_ip":rank_address[6],
+						"rank_id":"6"
+					},
+					{
+						"device_id":"7",
+						"device_ip":rank_address[7],
+						"rank_id":"7"
+					}
+				]},
+				
+				
+				{
+				"server_id":server[1],
+				"device":[
+					{
+						"device_id":"0",
+						"device_ip":rank_address[8],
+						"rank_id":"8"
+					},
+					{
+						"device_id":"1",
+						"device_ip":rank_address[9],
+						"rank_id":"9"
+					},
+					{
+						"device_id":"2",
+						"device_ip":rank_address[10],
+						"rank_id":"10"
+					},
+					{
+						"device_id":"3",
+						"device_ip":rank_address[11],
+						"rank_id":"11"
+					},
+					{
+						"device_id":"4",
+						"device_ip":rank_address[12],
+						"rank_id":"12"
+					},
+					{
+						"device_id":"5",
+						"device_ip":rank_address[13],
+						"rank_id":"13"
+					},
+					{
+						"device_id":"6",
+						"device_ip":rank_address[14],
+						"rank_id":"14"
+					},
+					{
+						"device_id":"7",
+						"device_ip":rank_address[15],
+						"rank_id":"15"
+					}
+				]},
+				{
+				"server_id":server[2],
+				"device":[
+					{
+						"device_id":"0",
+						"device_ip":rank_address[16],
+						"rank_id":"16"
+					},
+					{
+						"device_id":"1",
+						"device_ip":rank_address[17],
+						"rank_id":"17"
+					},
+					{
+						"device_id":"2",
+						"device_ip":rank_address[18],
+						"rank_id":"18"
+					},
+					{
+						"device_id":"3",
+						"device_ip":rank_address[19],
+						"rank_id":"19"
+					},
+					{
+						"device_id":"4",
+						"device_ip":rank_address[20],
+						"rank_id":"20"
+					},
+					{
+						"device_id":"5",
+						"device_ip":rank_address[21],
+						"rank_id":"21"
+					},
+					{
+						"device_id":"6",
+						"device_ip":rank_address[22],
+						"rank_id":"22"
+					},
+					{
+						"device_id":"7",
+						"device_ip":rank_address[23],
+						"rank_id":"23"
+					}
+				]},
+				{
+				"server_id":server[3],
+				"device":[
+					{
+						"device_id":"0",
+						"device_ip":rank_address[24],
+						"rank_id":"24"
+					},
+					{
+						"device_id":"1",
+						"device_ip":rank_address[25],
+						"rank_id":"25"
+					},
+					{
+						"device_id":"2",
+						"device_ip":rank_address[26],
+						"rank_id":"26"
+					},
+					{
+						"device_id":"3",
+						"device_ip":rank_address[27],
+						"rank_id":"27"
+					},
+					{
+						"device_id":"4",
+						"device_ip":rank_address[28],
+						"rank_id":"28"
+					},
+					{
+						"device_id":"5",
+						"device_ip":rank_address[29],
+						"rank_id":"29"
+					},
+					{
+						"device_id":"6",
+						"device_ip":rank_address[30],
+						"rank_id":"30"
+					},
+					{
+						"device_id":"7",
+						"device_ip":rank_address[31],
+						"rank_id":"31"
+					}
+				]},
+				{
+				"server_id":server[4],
+				"device":[
+					{
+						"device_id":"0",
+						"device_ip":rank_address[32],
+						"rank_id":"32"
+					},
+					{
+						"device_id":"1",
+						"device_ip":rank_address[33],
+						"rank_id":"33"
+					},
+					{
+						"device_id":"2",
+						"device_ip":rank_address[34],
+						"rank_id":"34"
+					},
+					{
+						"device_id":"3",
+						"device_ip":rank_address[35],
+						"rank_id":"35"
+					},
+					{
+						"device_id":"4",
+						"device_ip":rank_address[36],
+						"rank_id":"36"
+					},
+					{
+						"device_id":"5",
+						"device_ip":rank_address[37],
+						"rank_id":"37"
+					},
+					{
+						"device_id":"6",
+						"device_ip":rank_address[38],
+						"rank_id":"38"
+					},
+					{
+						"device_id":"7",
+						"device_ip":rank_address[39],
+						"rank_id":"39"
+					}
+				]},
+				{
+				"server_id":server[5],
+				"device":[
+					{
+						"device_id":"0",
+						"device_ip":rank_address[40],
+						"rank_id":"40"
+					},
+					{
+						"device_id":"1",
+						"device_ip":rank_address[41],
+						"rank_id":"41"
+					},
+					{
+						"device_id":"2",
+						"device_ip":rank_address[42],
+						"rank_id":"42"
+					},
+					{
+						"device_id":"3",
+						"device_ip":rank_address[43],
+						"rank_id":"43"
+					},
+					{
+						"device_id":"4",
+						"device_ip":rank_address[44],
+						"rank_id":"44"
+					},
+					{
+						"device_id":"5",
+						"device_ip":rank_address[45],
+						"rank_id":"45"
+					},
+					{
+						"device_id":"6",
+						"device_ip":rank_address[46],
+						"rank_id":"46"
+					},
+					{
+						"device_id":"7",
+						"device_ip":rank_address[47],
+						"rank_id":"47"
+					}
+				]},
+				{
+				"server_id":server[6],
+				"device":[
+					{
+						"device_id":"0",
+						"device_ip":rank_address[48],
+						"rank_id":"48"
+					},
+					{
+						"device_id":"1",
+						"device_ip":rank_address[49],
+						"rank_id":"49"
+					},
+					{
+						"device_id":"2",
+						"device_ip":rank_address[50],
+						"rank_id":"50"
+					},
+					{
+						"device_id":"3",
+						"device_ip":rank_address[51],
+						"rank_id":"51"
+					},
+					{
+						"device_id":"4",
+						"device_ip":rank_address[52],
+						"rank_id":"52"
+					},
+					{
+						"device_id":"5",
+						"device_ip":rank_address[53],
+						"rank_id":"53"
+					},
+					{
+						"device_id":"6",
+						"device_ip":rank_address[54],
+						"rank_id":"54"
+					},
+					{
+						"device_id":"7",
+						"device_ip":rank_address[55],
+						"rank_id":"55"
+					}
+				]}
+				],
+		"status":"completed",
+		"version":"1.0"
+	}
+	
+	
+	
+	
+elif FLAGS.npu_nums == 8:
+	rank = {
+		"server_count":"8",
+		"server_list":[
+			{
+				"server_id":server[0],
+				"device":[
+					{
+						"device_id":"0",
+						"device_ip":rank_address[0],
+						"rank_id":"0"
+					},
+					{
+						"device_id":"1",
+						"device_ip":rank_address[1],
+						"rank_id":"1"
+					},
+					{
+						"device_id":"2",
+						"device_ip":rank_address[2],
+						"rank_id":"2"
+					},
+					{
+						"device_id":"3",
+						"device_ip":rank_address[3],
+						"rank_id":"3"
+					},
+					{
+						"device_id":"4",
+						"device_ip":rank_address[4],
+						"rank_id":"4"
+					},
+					{
+						"device_id":"5",
+						"device_ip":rank_address[5],
+						"rank_id":"5"
+					},
+					{
+						"device_id":"6",
+						"device_ip":rank_address[6],
+						"rank_id":"6"
+					},
+					{
+						"device_id":"7",
+						"device_ip":rank_address[7],
+						"rank_id":"7"
+					}
+				]},
+				
+				
+				{
+				"server_id":server[1],
+				"device":[
+					{
+						"device_id":"0",
+						"device_ip":rank_address[8],
+						"rank_id":"8"
+					},
+					{
+						"device_id":"1",
+						"device_ip":rank_address[9],
+						"rank_id":"9"
+					},
+					{
+						"device_id":"2",
+						"device_ip":rank_address[10],
+						"rank_id":"10"
+					},
+					{
+						"device_id":"3",
+						"device_ip":rank_address[11],
+						"rank_id":"11"
+					},
+					{
+						"device_id":"4",
+						"device_ip":rank_address[12],
+						"rank_id":"12"
+					},
+					{
+						"device_id":"5",
+						"device_ip":rank_address[13],
+						"rank_id":"13"
+					},
+					{
+						"device_id":"6",
+						"device_ip":rank_address[14],
+						"rank_id":"14"
+					},
+					{
+						"device_id":"7",
+						"device_ip":rank_address[15],
+						"rank_id":"15"
+					}
+				]},
+				{
+				"server_id":server[2],
+				"device":[
+					{
+						"device_id":"0",
+						"device_ip":rank_address[16],
+						"rank_id":"16"
+					},
+					{
+						"device_id":"1",
+						"device_ip":rank_address[17],
+						"rank_id":"17"
+					},
+					{
+						"device_id":"2",
+						"device_ip":rank_address[18],
+						"rank_id":"18"
+					},
+					{
+						"device_id":"3",
+						"device_ip":rank_address[19],
+						"rank_id":"19"
+					},
+					{
+						"device_id":"4",
+						"device_ip":rank_address[20],
+						"rank_id":"20"
+					},
+					{
+						"device_id":"5",
+						"device_ip":rank_address[21],
+						"rank_id":"21"
+					},
+					{
+						"device_id":"6",
+						"device_ip":rank_address[22],
+						"rank_id":"22"
+					},
+					{
+						"device_id":"7",
+						"device_ip":rank_address[23],
+						"rank_id":"23"
+					}
+				]},
+				{
+				"server_id":server[3],
+				"device":[
+					{
+						"device_id":"0",
+						"device_ip":rank_address[24],
+						"rank_id":"24"
+					},
+					{
+						"device_id":"1",
+						"device_ip":rank_address[25],
+						"rank_id":"25"
+					},
+					{
+						"device_id":"2",
+						"device_ip":rank_address[26],
+						"rank_id":"26"
+					},
+					{
+						"device_id":"3",
+						"device_ip":rank_address[27],
+						"rank_id":"27"
+					},
+					{
+						"device_id":"4",
+						"device_ip":rank_address[28],
+						"rank_id":"28"
+					},
+					{
+						"device_id":"5",
+						"device_ip":rank_address[29],
+						"rank_id":"29"
+					},
+					{
+						"device_id":"6",
+						"device_ip":rank_address[30],
+						"rank_id":"30"
+					},
+					{
+						"device_id":"7",
+						"device_ip":rank_address[31],
+						"rank_id":"31"
+					}
+				]},
+				{
+				"server_id":server[4],
+				"device":[
+					{
+						"device_id":"0",
+						"device_ip":rank_address[32],
+						"rank_id":"32"
+					},
+					{
+						"device_id":"1",
+						"device_ip":rank_address[33],
+						"rank_id":"33"
+					},
+					{
+						"device_id":"2",
+						"device_ip":rank_address[34],
+						"rank_id":"34"
+					},
+					{
+						"device_id":"3",
+						"device_ip":rank_address[35],
+						"rank_id":"35"
+					},
+					{
+						"device_id":"4",
+						"device_ip":rank_address[36],
+						"rank_id":"36"
+					},
+					{
+						"device_id":"5",
+						"device_ip":rank_address[37],
+						"rank_id":"37"
+					},
+					{
+						"device_id":"6",
+						"device_ip":rank_address[38],
+						"rank_id":"38"
+					},
+					{
+						"device_id":"7",
+						"device_ip":rank_address[39],
+						"rank_id":"39"
+					}
+				]},
+				{
+				"server_id":server[5],
+				"device":[
+					{
+						"device_id":"0",
+						"device_ip":rank_address[40],
+						"rank_id":"40"
+					},
+					{
+						"device_id":"1",
+						"device_ip":rank_address[41],
+						"rank_id":"41"
+					},
+					{
+						"device_id":"2",
+						"device_ip":rank_address[42],
+						"rank_id":"42"
+					},
+					{
+						"device_id":"3",
+						"device_ip":rank_address[43],
+						"rank_id":"43"
+					},
+					{
+						"device_id":"4",
+						"device_ip":rank_address[44],
+						"rank_id":"44"
+					},
+					{
+						"device_id":"5",
+						"device_ip":rank_address[45],
+						"rank_id":"45"
+					},
+					{
+						"device_id":"6",
+						"device_ip":rank_address[46],
+						"rank_id":"46"
+					},
+					{
+						"device_id":"7",
+						"device_ip":rank_address[47],
+						"rank_id":"47"
+					}
+				]},
+				{
+				"server_id":server[6],
+				"device":[
+					{
+						"device_id":"0",
+						"device_ip":rank_address[48],
+						"rank_id":"48"
+					},
+					{
+						"device_id":"1",
+						"device_ip":rank_address[49],
+						"rank_id":"49"
+					},
+					{
+						"device_id":"2",
+						"device_ip":rank_address[50],
+						"rank_id":"50"
+					},
+					{
+						"device_id":"3",
+						"device_ip":rank_address[51],
+						"rank_id":"51"
+					},
+					{
+						"device_id":"4",
+						"device_ip":rank_address[52],
+						"rank_id":"52"
+					},
+					{
+						"device_id":"5",
+						"device_ip":rank_address[53],
+						"rank_id":"53"
+					},
+					{
+						"device_id":"6",
+						"device_ip":rank_address[54],
+						"rank_id":"54"
+					},
+					{
+						"device_id":"7",
+						"device_ip":rank_address[55],
+						"rank_id":"55"
+					}
+				]},
+				{
+				"server_id":server[7],
+				"device":[
+					{
+						"device_id":"0",
+						"device_ip":rank_address[56],
+						"rank_id":"56"
+					},
+					{
+						"device_id":"1",
+						"device_ip":rank_address[57],
+						"rank_id":"57"
+					},
+					{
+						"device_id":"2",
+						"device_ip":rank_address[58],
+						"rank_id":"58"
+					},
+					{
+						"device_id":"3",
+						"device_ip":rank_address[59],
+						"rank_id":"59"
+					},
+					{
+						"device_id":"4",
+						"device_ip":rank_address[60],
+						"rank_id":"60"
+					},
+					{
+						"device_id":"5",
+						"device_ip":rank_address[61],
+						"rank_id":"61"
+					},
+					{
+						"device_id":"6",
+						"device_ip":rank_address[62],
+						"rank_id":"62"
+					},
+					{
+						"device_id":"7",
+						"device_ip":rank_address[63],
+						"rank_id":"63"
+					}
+				]}
+				],
+		"status":"completed",
+		"version":"1.0"
+	}
+	
+	
+	
+	
+with open("rank_table.json", "w") as f:
+	json.dump(rank, f)
+
+
+
+
+
+
diff --git a/TensorFlow2/built-in/cv/image_classification/ResNet50_ID0360_for_TensorFlow2.X/test/train_full_16P_256bs_SGD.sh b/TensorFlow2/built-in/cv/image_classification/ResNet50_ID0360_for_TensorFlow2.X/test/train_full_16P_256bs_SGD.sh
new file mode 100644
index 0000000000000000000000000000000000000000..3a3c34f2cc6c3cd1c39a3044d80ea1f7f0fe2401
--- /dev/null
+++ b/TensorFlow2/built-in/cv/image_classification/ResNet50_ID0360_for_TensorFlow2.X/test/train_full_16P_256bs_SGD.sh
@@ -0,0 +1,202 @@
+#!/bin/bash
+
+#当前路径,不需要修改
+cur_path=`pwd`
+
+#集合通信参数,不需要修改
+#保证rank table file 文件rank_table_8p.json存放在和test同级的configs目录下
+export RANK_SIZE=16
+# export RANK_TABLE_FILE=${cur_path}/../configs/rank_table_16p.json
+export JOB_ID=10087
+RANK_ID_START=0
+
+# 数据集路径,保持为空,不需要修改
+data_path=""
+
+#####基础参数，需要模型审视修改
+#Batch Size
+batch_size=4096
+#网络名称
+Network="ResNet50_ID0360_for_TensorFlow2.X"
+#Device数量
+RankSize=16
+#训练epoch
+train_epochs=42
+# 训练step
+train_steps=`expr 1281167 / ${batch_size}`
+#学习率
+learning_rate=7.92
+
+#TF2.X独有，需要模型审视修改
+export NPU_LOOP_SIZE=${train_steps}
+
+#npu param
+precision_mode="allow_mix_precision"
+over_dump=False
+data_dump_flag=False
+data_dump_step="10"
+profiling=False
+data_path=""
+
+if [[ $1 == --help || $1 == -h ]];then
+    echo"usage:./train_full_16P_256bs_SGD_0.sh <args>"
+
+    echo " "
+    echo "parameter explain:
+    --precision_mode           precision mode(allow_fp32_to_fp16/force_fp16/must_keep_origin_dtype/allow_mix_precision)
+    --over_dump		           if or not over detection, default is False
+    --data_dump_flag		   data dump flag, default is 0
+    --data_dump_step		   data dump step, default is 10
+    --profiling		           if or not profiling for performance debug, default is False
+    --data_path		           source data of training
+    -h/--help		           show help message
+    "
+    exit 1
+fi
+
+#参数校验，需要模型审视修改
+# conf_path,server_index是集群16p需要添加的参数校验
+for para in $*
+do
+    if [[ $para == --precision_mode* ]];then
+        precision_mode=`echo ${para#*=}`
+    elif [[ $para == --over_dump* ]];then
+        over_dump=`echo ${para#*=}`
+        over_dump_path=${cur_path}/output/overflow_dump
+        mkdir -p ${over_dump_path}
+    elif [[ $para == --data_dump_flag* ]];then
+        data_dump_flag=`echo ${para#*=}`
+        data_dump_path=${cur_path}/output/data_dump
+        mkdir -p ${data_dump_path}
+    elif [[ $para == --data_dump_step* ]];then
+        data_dump_step=`echo ${para#*=}`
+    elif [[ $para == --profiling* ]];then
+        profiling=`echo ${para#*=}`
+        profiling_dump_path=${cur_path}/output/profiling
+        mkdir -p ${profiling_dump_path}
+	elif [[ $para == --server_index* ]];then
+        server_index=`echo ${para#*=}`
+	elif [[ $para == --conf_path* ]];then
+        conf_path=`echo ${para#*=}`
+    elif [[ $para == --data_path* ]];then
+        data_path=`echo ${para#*=}`
+    fi
+done
+
+if [[ $data_path == "" ]];then
+    echo "[Error] para \"data_path\" must be confing"
+    exit 1
+fi
+
+# 自动生成ranktable的脚本
+rank_size=8
+nohup python3 set_ranktable.py --npu_nums=$((RANK_SIZE/rank_size)) --conf_path=$conf_path
+wait
+export RANK_TABLE_FILE=${cur_path}/rank_table.json
+
+#训练开始时间，不需要修改
+start_time=$(date +%s)
+
+cd $cur_path/../tensorflow
+#############执行训练#########################
+for((RANK_ID=$((rank_size*server_index));RANK_ID<$((((server_index+1))*rank_size));RANK_ID++));
+do
+    echo "Device ID: $RANK_ID"
+    export RANK_ID=$RANK_ID
+    export ASCEND_DEVICE_ID=`expr ${RANK_ID} - $((rank_size*server_index))`
+    ASCEND_DEVICE_ID=`expr ${RANK_ID} - $((rank_size*server_index))`
+
+    if [ -d ${cur_path}/output/${ASCEND_DEVICE_ID} ];then
+        rm -rf ${cur_path}/output/${ASCEND_DEVICE_ID}
+        mkdir -p ${cur_path}/output/$ASCEND_DEVICE_ID/ckpt
+    else
+        mkdir -p ${cur_path}/output/$ASCEND_DEVICE_ID/ckpt
+    fi
+    
+    #绑核，不需要绑核的模型删除，需要绑核的模型根据实际修改
+    cpucount=`lscpu | grep "CPU(s):" | head -n 1 | awk '{print $2}'`
+    cpustep=`expr $cpucount / 8`
+    echo "taskset c steps:" $cpustep
+    let a=RANK_ID*$cpustep
+    let b=RANK_ID+1
+    let c=b*$cpustep-1
+
+    nohup python3 resnet_ctl_imagenet_main.py \
+        --data_dir=${data_path} \
+        --train_steps=${train_steps} \
+        --num_accumulation_steps=1 \
+        --train_epochs=${train_epochs} \
+        --model_dir=${cur_path}/output/$ASCEND_DEVICE_ID/ckpt \
+        --distribution_strategy=off \
+        --use_tf_while_loop=true \
+        --use_tf_function=true \
+        --enable_checkpoint_and_export \
+        --steps_per_loop=${train_steps} \
+        --base_learning_rate=${learning_rate} \
+        --momentum=0.901 --epochs_between_evals=1 \
+        --eval_offset_epochs=2 \
+        --optimizer=SGD \
+        --label_smoothing=0.1 \
+        --single_l2_loss_op \
+        --warmup_epochs=5 \
+        --weight_decay=0.000025 \
+        --lr_schedule=polynomial \
+        --drop_eval_remainder=True \
+        --precision_mode=${precision_mode} \
+        --over_dump=${over_dump} \
+        --over_dump_path=${over_dump_path} \
+        --data_dump_flag=${data_dump_flag} \
+        --data_dump_step=${data_dump_step} \
+        --data_dump_path=${data_dump_path} \
+        --batch_size=${batch_size} \
+        --profiling=${profiling} \
+        --profiling_dump_path=${profiling_dump_path} > ${cur_path}/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1 &
+done
+wait
+
+#训练结束时间，不需要修改
+end_time=$(date +%s)
+e2e_time=$(( $end_time - $start_time ))
+
+#结果打印，不需要修改
+echo "------------------ Final result ------------------"
+#输出性能FPS，需要模型审视修改
+FPS=`grep TimeHistory  $cur_path/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log|awk 'END {print $6}'`
+#打印，不需要修改
+echo "Final Performance images/sec : $FPS"
+
+#输出训练精度,需要模型审视修改
+train_accuracy=`grep eval_accuracy $cur_path/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log|grep -v mlp_log|awk 'END {print $5}'| sed 's/,//g' |cut -c 1-5`
+#打印，不需要修改
+echo "Final Train Accuracy : ${train_accuracy}"
+echo "E2E Training Duration sec : $e2e_time"
+
+#稳定性精度看护结果汇总
+#训练用例信息，不需要修改
+BatchSize=${batch_size}
+DeviceType=`uname -m`
+CaseName=${Network}_bs${BatchSize}_${RANK_SIZE}'p'_'acc'
+
+##获取性能数据
+#吞吐量，不需要修改
+ActualFPS=${FPS}
+#单迭代训练时长，不需要修改
+TrainingTime=`awk 'BEGIN{printf "%.2f\n",'${BatchSize}'*'${RANK_SIZE}'*1000/'${FPS}'}'`
+
+#从train_$ASCEND_DEVICE_ID.log提取Loss到train_${CaseName}_loss.txt中，需要根据模型审视
+grep train_loss $cur_path/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.log|grep -v BatchTimestamp|awk '{print $10}'|sed 's/,//g'|sed '/^$/d' >> $cur_path/output/$ASCEND_DEVICE_ID/train_${CaseName}_loss.txt
+
+#最后一个迭代loss值，不需要修改
+ActualLoss=`awk 'END {print}' $cur_path/output/$ASCEND_DEVICE_ID/train_${CaseName}_loss.txt`
+
+#关键信息打印到${CaseName}.log中，不需要修改
+echo "Network = ${Network}" > $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "RankSize = ${RANK_SIZE}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "BatchSize = ${BatchSize}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "DeviceType = ${DeviceType}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "CaseName = ${CaseName}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "ActualFPS = ${ActualFPS}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "TrainingTime = ${TrainingTime}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "TrainAccuracy = ${train_accuracy}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "ActualLoss = ${ActualLoss}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
diff --git a/TensorFlow2/built-in/cv/image_classification/ResNet50_ID0360_for_TensorFlow2.X/test/train_performance_16P_256bs_SGD.sh b/TensorFlow2/built-in/cv/image_classification/ResNet50_ID0360_for_TensorFlow2.X/test/train_performance_16P_256bs_SGD.sh
new file mode 100644
index 0000000000000000000000000000000000000000..3755c6ff9a0bb80c31371947921e94d6a2bafbcd
--- /dev/null
+++ b/TensorFlow2/built-in/cv/image_classification/ResNet50_ID0360_for_TensorFlow2.X/test/train_performance_16P_256bs_SGD.sh
@@ -0,0 +1,202 @@
+#!/bin/bash
+
+#当前路径,不需要修改
+cur_path=`pwd`
+
+#集合通信参数,不需要修改
+#保证rank table file 文件rank_table_8p.json存放在和test同级的configs目录下
+export RANK_SIZE=16
+# export RANK_TABLE_FILE=${cur_path}/../configs/rank_table_16p.json
+export JOB_ID=10087
+RANK_ID_START=0
+
+# 数据集路径,保持为空,不需要修改
+data_path=""
+
+#####基础参数，需要模型审视修改
+#Batch Size
+batch_size=4096
+#网络名称
+Network="ResNet50_ID0360_for_TensorFlow2.X"
+#Device数量
+RankSize=16
+#训练epoch
+train_epochs=12
+# 训练step
+train_steps=`expr 1281167 / ${batch_size}`
+#学习率
+learning_rate=7.92
+
+#TF2.X独有，需要模型审视修改
+export NPU_LOOP_SIZE=${train_steps}
+
+#npu param
+precision_mode="allow_mix_precision"
+over_dump=False
+data_dump_flag=False
+data_dump_step="10"
+profiling=False
+data_path=""
+
+if [[ $1 == --help || $1 == -h ]];then
+    echo"usage:./train_full_16P_256bs_SGD_0.sh <args>"
+
+    echo " "
+    echo "parameter explain:
+    --precision_mode           precision mode(allow_fp32_to_fp16/force_fp16/must_keep_origin_dtype/allow_mix_precision)
+    --over_dump		           if or not over detection, default is False
+    --data_dump_flag		   data dump flag, default is 0
+    --data_dump_step		   data dump step, default is 10
+    --profiling		           if or not profiling for performance debug, default is False
+    --data_path		           source data of training
+    -h/--help		           show help message
+    "
+    exit 1
+fi
+
+#参数校验，需要模型审视修改
+# conf_path,server_index是集群16p需要添加的参数校验
+for para in $*
+do
+    if [[ $para == --precision_mode* ]];then
+        precision_mode=`echo ${para#*=}`
+    elif [[ $para == --over_dump* ]];then
+        over_dump=`echo ${para#*=}`
+        over_dump_path=${cur_path}/output/overflow_dump
+        mkdir -p ${over_dump_path}
+    elif [[ $para == --data_dump_flag* ]];then
+        data_dump_flag=`echo ${para#*=}`
+        data_dump_path=${cur_path}/output/data_dump
+        mkdir -p ${data_dump_path}
+    elif [[ $para == --data_dump_step* ]];then
+        data_dump_step=`echo ${para#*=}`
+    elif [[ $para == --profiling* ]];then
+        profiling=`echo ${para#*=}`
+        profiling_dump_path=${cur_path}/output/profiling
+        mkdir -p ${profiling_dump_path}
+	elif [[ $para == --server_index* ]];then
+        server_index=`echo ${para#*=}`
+	elif [[ $para == --conf_path* ]];then
+        conf_path=`echo ${para#*=}`
+    elif [[ $para == --data_path* ]];then
+        data_path=`echo ${para#*=}`
+    fi
+done
+
+if [[ $data_path == "" ]];then
+    echo "[Error] para \"data_path\" must be confing"
+    exit 1
+fi
+
+# 自动生成ranktable的脚本
+rank_size=8
+nohup python3 set_ranktable.py --npu_nums=$((RANK_SIZE/rank_size)) --conf_path=$conf_path
+wait
+export RANK_TABLE_FILE=${cur_path}/rank_table.json
+
+#训练开始时间，不需要修改
+start_time=$(date +%s)
+
+cd $cur_path/../tensorflow
+#############执行训练#########################
+for((RANK_ID=$((rank_size*server_index));RANK_ID<$((((server_index+1))*rank_size));RANK_ID++));
+do
+    echo "Device ID: $RANK_ID"
+    export RANK_ID=$RANK_ID
+    export ASCEND_DEVICE_ID=`expr ${RANK_ID} - $((rank_size*server_index))`
+    ASCEND_DEVICE_ID=`expr ${RANK_ID} - $((rank_size*server_index))`
+
+    if [ -d ${cur_path}/output/${ASCEND_DEVICE_ID} ];then
+        rm -rf ${cur_path}/output/${ASCEND_DEVICE_ID}
+        mkdir -p ${cur_path}/output/$ASCEND_DEVICE_ID/ckpt
+    else
+        mkdir -p ${cur_path}/output/$ASCEND_DEVICE_ID/ckpt
+    fi
+    
+    #绑核，不需要绑核的模型删除，需要绑核的模型根据实际修改
+    cpucount=`lscpu | grep "CPU(s):" | head -n 1 | awk '{print $2}'`
+    cpustep=`expr $cpucount / 8`
+    echo "taskset c steps:" $cpustep
+    let a=RANK_ID*$cpustep
+    let b=RANK_ID+1
+    let c=b*$cpustep-1
+
+    nohup python3 resnet_ctl_imagenet_main.py \
+        --data_dir=${data_path} \
+        --train_steps=${train_steps} \
+        --num_accumulation_steps=1 \
+        --train_epochs=${train_epochs} \
+        --model_dir=${cur_path}/output/$ASCEND_DEVICE_ID/ckpt \
+        --distribution_strategy=off \
+        --use_tf_while_loop=true \
+        --use_tf_function=true \
+        --enable_checkpoint_and_export \
+        --steps_per_loop=${train_steps} \
+        --base_learning_rate=${learning_rate} \
+        --momentum=0.901 --epochs_between_evals=1 \
+        --eval_offset_epochs=2 \
+        --optimizer=SGD \
+        --label_smoothing=0.1 \
+        --single_l2_loss_op \
+        --warmup_epochs=5 \
+        --weight_decay=0.000025 \
+        --lr_schedule=polynomial \
+        --drop_eval_remainder=True \
+        --precision_mode=${precision_mode} \
+        --over_dump=${over_dump} \
+        --over_dump_path=${over_dump_path} \
+        --data_dump_flag=${data_dump_flag} \
+        --data_dump_step=${data_dump_step} \
+        --data_dump_path=${data_dump_path} \
+        --batch_size=${batch_size} \
+        --profiling=${profiling} \
+        --profiling_dump_path=${profiling_dump_path} > ${cur_path}/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1 &
+done
+wait
+
+#训练结束时间，不需要修改
+end_time=$(date +%s)
+e2e_time=$(( $end_time - $start_time ))
+
+#结果打印，不需要修改
+echo "------------------ Final result ------------------"
+#输出性能FPS，需要模型审视修改
+FPS=`grep TimeHistory  $cur_path/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log|awk 'END {print $6}'`
+#打印，不需要修改
+echo "Final Performance images/sec : $FPS"
+
+#输出训练精度,需要模型审视修改
+train_accuracy=`grep eval_accuracy $cur_path/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log|grep -v mlp_log|awk 'END {print $5}'| sed 's/,//g' |cut -c 1-5`
+#打印，不需要修改
+echo "Final Train Accuracy : ${train_accuracy}"
+echo "E2E Training Duration sec : $e2e_time"
+
+#稳定性精度看护结果汇总
+#训练用例信息，不需要修改
+BatchSize=${batch_size}
+DeviceType=`uname -m`
+CaseName=${Network}_bs${BatchSize}_${RANK_SIZE}'p'_'perf'
+
+##获取性能数据
+#吞吐量，不需要修改
+ActualFPS=${FPS}
+#单迭代训练时长，不需要修改
+TrainingTime=`awk 'BEGIN{printf "%.2f\n",'${BatchSize}'*'${RANK_SIZE}'*1000/'${FPS}'}'`
+
+#从train_$ASCEND_DEVICE_ID.log提取Loss到train_${CaseName}_loss.txt中，需要根据模型审视
+grep train_loss $cur_path/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.log|grep -v BatchTimestamp|awk '{print $10}'|sed 's/,//g'|sed '/^$/d' >> $cur_path/output/$ASCEND_DEVICE_ID/train_${CaseName}_loss.txt
+
+#最后一个迭代loss值，不需要修改
+ActualLoss=`awk 'END {print}' $cur_path/output/$ASCEND_DEVICE_ID/train_${CaseName}_loss.txt`
+
+#关键信息打印到${CaseName}.log中，不需要修改
+echo "Network = ${Network}" > $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "RankSize = ${RANK_SIZE}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "BatchSize = ${BatchSize}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "DeviceType = ${DeviceType}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "CaseName = ${CaseName}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "ActualFPS = ${ActualFPS}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "TrainingTime = ${TrainingTime}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "TrainAccuracy = ${train_accuracy}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "ActualLoss = ${ActualLoss}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log