[New Sample] Add cv models with 4-6 subgraphs. (#271)

* Add cv models with 4-6 subgraphs.

* Exclude shape_patches path in ci.

Author: Xreki

paddle_samples/PaddleX/FCOS-ResNet50/subgraph_0/graph_hash.txt

@@ -0,0 +1 @@
+b1e0b6ecf140dfafe8516039778f6e4b103b6ca2959a2dca9c26c8205109ea26

paddle_samples/PaddleX/FCOS-ResNet50/subgraph_0/graph_net.json

@@ -0,0 +1,6 @@
+{
+    "framework": "paddle",
+    "model_name": "FCOS-ResNet50",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}

paddle_samples/PaddleX/FCOS-ResNet50/subgraph_0/input_meta.py

@@ -0,0 +1,225 @@
+class Program_weight_tensor_data_0:
+    name = "data_0"
+    shape = [19712, 2]
+    dtype = "float32"
+    min_val = float("4.0")
+    max_val = float("1404.0")
+    mean = float("576.0")
+    std = float("363.912")
+    data = None
+
+
+class Program_weight_tensor_data_1:
+    name = "data_1"
+    shape = [4928, 2]
+    dtype = "float32"
+    min_val = float("8.0")
+    max_val = float("1400.0")
+    mean = float("576.0")
+    std = float("363.89")
+    data = None
+
+
+class Program_weight_tensor_data_2:
+    name = "data_2"
+    shape = [1232, 2]
+    dtype = "float32"
+    min_val = float("16.0")
+    max_val = float("1392.0")
+    mean = float("576.0")
+    std = float("363.802")
+    data = None
+
+
+class Program_weight_tensor_data_3:
+    name = "data_3"
+    shape = [308, 2]
+    dtype = "float32"
+    min_val = float("32.0")
+    max_val = float("1376.0")
+    mean = float("576.0")
+    std = float("363.45")
+    data = None
+
+
+class Program_weight_tensor_data_4:
+    name = "data_4"
+    shape = [77, 2]
+    dtype = "float32"
+    min_val = float("64.0")
+    max_val = float("1344.0")
+    mean = float("576.0")
+    std = float("362.039")
+    data = None
+
+
+class Program_weight_tensor_data_5:
+    name = "data_5"
+    shape = [1, 4, 112, 176]
+    dtype = "float32"
+    min_val = float("-8.36128")
+    max_val = float("-2.2429")
+    mean = float("-5.07038")
+    std = float("1.13565")
+    data = None
+
+
+class Program_weight_tensor_data_6:
+    name = "data_6"
+    shape = [1, 4, 56, 88]
+    dtype = "float32"
+    min_val = float("-8.38446")
+    max_val = float("-2.08738")
+    mean = float("-4.96335")
+    std = float("1.1187")
+    data = None
+
+
+class Program_weight_tensor_data_7:
+    name = "data_7"
+    shape = [1, 4, 28, 44]
+    dtype = "float32"
+    min_val = float("-7.22865")
+    max_val = float("2.35174")
+    mean = float("-4.79402")
+    std = float("0.99956")
+    data = None
+
+
+class Program_weight_tensor_data_8:
+    name = "data_8"
+    shape = [1, 4, 14, 22]
+    dtype = "float32"
+    min_val = float("-7.1387")
+    max_val = float("-1.16177")
+    mean = float("-4.65328")
+    std = float("0.798995")
+    data = None
+
+
+class Program_weight_tensor_data_9:
+    name = "data_9"
+    shape = [1, 4, 7, 11]
+    dtype = "float32"
+    min_val = float("-6.5308")
+    max_val = float("-3.31567")
+    mean = float("-4.60946")
+    std = float("0.772634")
+    data = None
+
+
+class Program_weight_tensor_data_10:
+    name = "data_10"
+    shape = [1, 4, 112, 176]
+    dtype = "float32"
+    min_val = float("0.470193")
+    max_val = float("68.9195")
+    mean = float("34.9876")
+    std = float("11.4164")
+    data = None
+
+
+class Program_weight_tensor_data_11:
+    name = "data_11"
+    shape = [1, 4, 56, 88]
+    dtype = "float32"
+    min_val = float("4.5994")
+    max_val = float("132.238")
+    mean = float("69.5734")
+    std = float("24.2226")
+    data = None
+
+
+class Program_weight_tensor_data_12:
+    name = "data_12"
+    shape = [1, 4, 28, 44]
+    dtype = "float32"
+    min_val = float("15.1627")
+    max_val = float("244.74")
+    mean = float("134.108")
+    std = float("48.2916")
+    data = None
+
+
+class Program_weight_tensor_data_13:
+    name = "data_13"
+    shape = [1, 4, 14, 22]
+    dtype = "float32"
+    min_val = float("30.5693")
+    max_val = float("458.882")
+    mean = float("227.435")
+    std = float("90.5008")
+    data = None
+
+
+class Program_weight_tensor_data_14:
+    name = "data_14"
+    shape = [1, 4, 7, 11]
+    dtype = "float32"
+    min_val = float("53.1338")
+    max_val = float("735.639")
+    mean = float("343.302")
+    std = float("159.211")
+    data = None
+
+
+class Program_weight_tensor_data_15:
+    name = "data_15"
+    shape = [1, 1, 112, 176]
+    dtype = "float32"
+    min_val = float("-1.68901")
+    max_val = float("2.09849")
+    mean = float("0.410485")
+    std = float("0.434336")
+    data = None
+
+
+class Program_weight_tensor_data_16:
+    name = "data_16"
+    shape = [1, 1, 56, 88]
+    dtype = "float32"
+    min_val = float("-1.3309")
+    max_val = float("1.77963")
+    mean = float("0.320381")
+    std = float("0.468179")
+    data = None
+
+
+class Program_weight_tensor_data_17:
+    name = "data_17"
+    shape = [1, 1, 28, 44]
+    dtype = "float32"
+    min_val = float("-1.06572")
+    max_val = float("1.88205")
+    mean = float("0.211633")
+    std = float("0.435816")
+    data = None
+
+
+class Program_weight_tensor_data_18:
+    name = "data_18"
+    shape = [1, 1, 14, 22]
+    dtype = "float32"
+    min_val = float("-1.11624")
+    max_val = float("1.12764")
+    mean = float("-0.0212589")
+    std = float("0.47957")
+    data = None
+
+
+class Program_weight_tensor_data_19:
+    name = "data_19"
+    shape = [1, 1, 7, 11]
+    dtype = "float32"
+    min_val = float("-0.944108")
+    max_val = float("0.426766")
+    mean = float("-0.370187")
+    std = float("0.314848")
+    data = None
+
+
+class Program_weight_tensor_data_20:
+    name = "data_20"
+    shape = [1, 2]
+    dtype = "float32"
+    data = [3.30579, 3.305]