Remove redundant subgraphs.

Author: Xreki

paddle_samples/PaddleX/FasterRCNN-ResNeXt101-vd-FPN/subgraph_0/graph_hash.txt

@@ -1 +1 @@
-6ddc5e365a0df1ad0980b33a3406df8ce549af95c792ad830f7e716a5238682d
+ed4f615fd1604afdb98f62e8e1498ac0bb789a963a54dc405721ff466693d64f

paddle_samples/PaddleX/FasterRCNN-ResNeXt101-vd-FPN/subgraph_0/input_meta.py

@@ -1,170 +1,9 @@
 class Program_weight_tensor_data_0:
     name = "data_0"
-    shape = [1, 3, 272, 200]
+    shape = [2, 3, 1088, 800]
     dtype = "float32"
-    min_val = float("-28.9056")
-    max_val = float("1.27677")
-    mean = float("-16.5931")
-    std = float("3.69945")
+    min_val = float("-2.1179")
+    max_val = float("2.64")
+    mean = float("0.747103")
+    std = float("1.00658")
     data = None
-
-
-class Program_weight_tensor_data_1:
-    name = "data_1"
-    shape = [1, 3, 136, 100]
-    dtype = "float32"
-    min_val = float("-23.1166")
-    max_val = float("9.25196")
-    mean = float("-11.9779")
-    std = float("3.65436")
-    data = None
-
-
-class Program_weight_tensor_data_2:
-    name = "data_2"
-    shape = [1, 3, 68, 50]
-    dtype = "float32"
-    min_val = float("-17.0277")
-    max_val = float("9.72818")
-    mean = float("-7.82743")
-    std = float("4.03209")
-    data = None
-
-
-class Program_weight_tensor_data_3:
-    name = "data_3"
-    shape = [1, 3, 34, 25]
-    dtype = "float32"
-    min_val = float("-13.1352")
-    max_val = float("8.58444")
-    mean = float("-4.40734")
-    std = float("3.77022")
-    data = None
-
-
-class Program_weight_tensor_data_4:
-    name = "data_4"
-    shape = [1, 3, 17, 13]
-    dtype = "float32"
-    min_val = float("-12.3")
-    max_val = float("4.78845")
-    mean = float("-3.67233")
-    std = float("3.55698")
-    data = None
-
-
-class Program_weight_tensor_data_5:
-    name = "data_5"
-    shape = [1, 12, 272, 200]
-    dtype = "float32"
-    min_val = float("-1.50886")
-    max_val = float("1.24448")
-    mean = float("-0.170198")
-    std = float("0.337754")
-    data = None
-
-
-class Program_weight_tensor_data_6:
-    name = "data_6"
-    shape = [1, 12, 136, 100]
-    dtype = "float32"
-    min_val = float("-0.921932")
-    max_val = float("1.06073")
-    mean = float("0.0723485")
-    std = float("0.205437")
-    data = None
-
-
-class Program_weight_tensor_data_7:
-    name = "data_7"
-    shape = [1, 12, 68, 50]
-    dtype = "float32"
-    min_val = float("-1.001")
-    max_val = float("0.955434")
-    mean = float("0.0367068")
-    std = float("0.195383")
-    data = None
-
-
-class Program_weight_tensor_data_8:
-    name = "data_8"
-    shape = [1, 12, 34, 25]
-    dtype = "float32"
-    min_val = float("-1.06176")
-    max_val = float("0.937632")
-    mean = float("0.0457601")
-    std = float("0.203634")
-    data = None
-
-
-class Program_weight_tensor_data_9:
-    name = "data_9"
-    shape = [1, 12, 17, 13]
-    dtype = "float32"
-    min_val = float("-0.87185")
-    max_val = float("0.801464")
-    mean = float("0.019939")
-    std = float("0.183092")
-    data = None
-
-
-class Program_weight_tensor_data_10:
-    name = "data_10"
-    shape = [163200, 4]
-    dtype = "float32"
-    min_val = float("-22.6274")
-    max_val = float("1106.63")
-    mean = float("470.0")
-    std = float("285.431")
-    data = None
-
-
-class Program_weight_tensor_data_11:
-    name = "data_11"
-    shape = [40800, 4]
-    dtype = "float32"
-    min_val = float("-45.2548")
-    max_val = float("1125.25")
-    mean = float("468.0")
-    std = float("286.989")
-    data = None
-
-
-class Program_weight_tensor_data_12:
-    name = "data_12"
-    shape = [10200, 4]
-    dtype = "float32"
-    min_val = float("-90.5097")
-    max_val = float("1162.51")
-    mean = float("464.0")
-    std = float("293.139")
-    data = None
-
-
-class Program_weight_tensor_data_13:
-    name = "data_13"
-    shape = [2550, 4]
-    dtype = "float32"
-    min_val = float("-181.019")
-    max_val = float("1237.02")
-    mean = float("456.0")
-    std = float("316.548")
-    data = None
-
-
-class Program_weight_tensor_data_14:
-    name = "data_14"
-    shape = [663, 4]
-    dtype = "float32"
-    min_val = float("-362.039")
-    max_val = float("1386.04")
-    mean = float("448.0")
-    std = float("397.968")
-    data = None
-
-
-class Program_weight_tensor_data_15:
-    name = "data_15"
-    shape = [1, 2]
-    dtype = "float32"
-    data = [1067.0, 800.0]