Add cv samples for models with more than 20 subgraphs.

Author: Xreki

paddle_samples/PaddleX/DETR-R50/subgraph_0/graph_hash.txt

@@ -0,0 +1 @@
+2476b3905431e7f21c553ca89daab36a2a7678c5eff37026c58a1a45f6d2ea65

paddle_samples/PaddleX/DETR-R50/subgraph_0/graph_net.json

@@ -0,0 +1,6 @@
+{
+    "framework": "paddle",
+    "model_name": "DETR-R50",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}

paddle_samples/PaddleX/DETR-R50/subgraph_0/input_meta.py

@@ -0,0 +1,271 @@
+class Program_weight_tensor_data_0:
+    name = "data_0"
+    shape = []
+    dtype = "int64"
+    data = [1]
+
+
+class Program_weight_tensor_data_1:
+    name = "data_1"
+    shape = []
+    dtype = "int64"
+    data = [2]
+
+
+class Program_weight_tensor_data_2:
+    name = "data_2"
+    shape = []
+    dtype = "int64"
+    data = [1]
+
+
+class Program_weight_tensor_data_3:
+    name = "data_3"
+    shape = []
+    dtype = "int64"
+    data = [3]
+
+
+class Program_weight_tensor_data_4:
+    name = "data_4"
+    shape = []
+    dtype = "int64"
+    data = [1]
+
+
+class Program_weight_tensor_data_5:
+    name = "data_5"
+    shape = []
+    dtype = "int64"
+    data = [2]
+
+
+class Program_weight_tensor_data_6:
+    name = "data_6"
+    shape = []
+    dtype = "int64"
+    data = [1]
+
+
+class Program_weight_tensor_data_7:
+    name = "data_7"
+    shape = []
+    dtype = "int64"
+    data = [3]
+
+
+class Program_weight_tensor_data_8:
+    name = "data_8"
+    shape = []
+    dtype = "int64"
+    data = [1]
+
+
+class Program_weight_tensor_data_9:
+    name = "data_9"
+    shape = []
+    dtype = "int64"
+    data = [2]
+
+
+class Program_weight_tensor_data_10:
+    name = "data_10"
+    shape = []
+    dtype = "int64"
+    data = [1]
+
+
+class Program_weight_tensor_data_11:
+    name = "data_11"
+    shape = []
+    dtype = "int64"
+    data = [3]
+
+
+class Program_weight_tensor_data_12:
+    name = "data_12"
+    shape = []
+    dtype = "int64"
+    data = [1]
+
+
+class Program_weight_tensor_data_13:
+    name = "data_13"
+    shape = []
+    dtype = "int64"
+    data = [2]
+
+
+class Program_weight_tensor_data_14:
+    name = "data_14"
+    shape = []
+    dtype = "int64"
+    data = [1]
+
+
+class Program_weight_tensor_data_15:
+    name = "data_15"
+    shape = []
+    dtype = "int64"
+    data = [3]
+
+
+class Program_weight_tensor_data_16:
+    name = "data_16"
+    shape = [1]
+    dtype = "int64"
+    data = [58]
+
+
+class Program_weight_tensor_data_17:
+    name = "data_17"
+    shape = [1]
+    dtype = "int64"
+    data = [0]
+
+
+class Program_weight_tensor_data_18:
+    name = "data_18"
+    shape = [2]
+    dtype = "int64"
+    data = [11, 66]
+
+
+class Program_weight_tensor_data_19:
+    name = "data_19"
+    shape = [2]
+    dtype = "int64"
+    data = [1, 0]
+
+
+class Program_weight_tensor_data_20:
+    name = "data_20"
+    shape = [1]
+    dtype = "int64"
+    data = [8]
+
+
+class Program_weight_tensor_data_21:
+    name = "data_21"
+    shape = [1]
+    dtype = "int64"
+    data = [0]
+
+
+class Program_weight_tensor_data_22:
+    name = "data_22"
+    shape = [3]
+    dtype = "int64"
+    data = [46, 48, 68]
+
+
+class Program_weight_tensor_data_23:
+    name = "data_23"
+    shape = [3]
+    dtype = "int64"
+    data = [2, 0, 1]
+
+
+class Program_weight_tensor_data_24:
+    name = "data_24"
+    shape = [1, 4]
+    dtype = "float32"
+    data = [0.328333, 0.58875, 0.09, 0.0675]
+
+
+class Program_weight_tensor_data_25:
+    name = "data_25"
+    shape = [2, 4]
+    dtype = "float32"
+    data = [0.591667, 0.61375, 0.283333, 0.2125, 0.563333, 0.41375, 0.26, 0.1925]
+
+
+class Program_weight_tensor_data_26:
+    name = "data_26"
+    shape = [1, 4]
+    dtype = "float32"
+    data = [0.622222, 0.448276, 0.177778, 0.137931]
+
+
+class Program_weight_tensor_data_27:
+    name = "data_27"
+    shape = [3, 4]
+    dtype = "float32"
+    data = [
+        0.5525,
+        0.0764192,
+        0.045,
+        0.144105,
+        0.29625,
+        0.318777,
+        0.0475,
+        0.148472,
+        0.33625,
+        0.327511,
+        0.0375,
+        0.139738,
+    ]
+
+
+class Program_weight_tensor_data_28:
+    name = "data_28"
+    shape = [4, 100, 5]
+    dtype = "float32"
+    min_val = float("-1.32489")
+    max_val = float("0.922706")
+    mean = float("-0.0677577")
+    std = float("0.463326")
+    data = None
+
+
+class Program_weight_tensor_data_29:
+    name = "data_29"
+    shape = [1, 1]
+    dtype = "int32"
+    data = [0]
+
+
+class Program_weight_tensor_data_30:
+    name = "data_30"
+    shape = [2, 1]
+    dtype = "int32"
+    data = [0, 3]
+
+
+class Program_weight_tensor_data_31:
+    name = "data_31"
+    shape = [1, 1]
+    dtype = "int32"
+    data = [0]
+
+
+class Program_weight_tensor_data_32:
+    name = "data_32"
+    shape = [3, 1]
+    dtype = "int32"
+    data = [2, 2, 2]
+
+
+class Program_weight_tensor_data_33:
+    name = "data_33"
+    shape = [1]
+    dtype = "float32"
+    data = [7.0]
+
+
+class Program_weight_tensor_data_34:
+    name = "data_34"
+    shape = [4, 100, 4]
+    dtype = "float32"
+    min_val = float("0.000876158")
+    max_val = float("0.999999")
+    mean = float("0.352537")
+    std = float("0.296327")
+    data = None
+
+
+class Program_weight_tensor_data_35:
+    name = "data_35"
+    shape = [5]
+    dtype = "float32"
+    data = [1.0, 1.0, 1.0, 1.0, 0.1]