[New Sample] Add cv models with 3 subgraphs. (#269)

* Add cv models.

* Add cv models with 3 subgraphs.

* Skip shape_patches path in ci.

Author: Xreki

paddle_samples/PaddleX/CLIP_vit_base_patch16_448_ML/subgraph_0/graph_hash.txt

@@ -0,0 +1 @@
+94f68a32a189a13a1025d0e8a1d6e6269b722b9018d7342b47c28793031842cc

paddle_samples/PaddleX/CLIP_vit_base_patch16_448_ML/subgraph_0/graph_net.json

@@ -0,0 +1,6 @@
+{
+    "framework": "paddle",
+    "model_name": "CLIP_vit_base_patch16_448_ML",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}

paddle_samples/PaddleX/CLIP_vit_base_patch16_448_ML/subgraph_0/input_meta.py

@@ -0,0 +1,49 @@
+class Program_weight_tensor_data_0:
+    name = "data_0"
+    shape = [1, 1, 768]
+    dtype = "float32"
+    min_val = float("-1.57892")
+    max_val = float("0.974002")
+    mean = float("0.0033194")
+    std = float("0.219507")
+    data = None
+
+
+class Program_weight_tensor_data_1:
+    name = "data_1"
+    shape = [1, 197, 768]
+    dtype = "float32"
+    min_val = float("-0.226016")
+    max_val = float("0.248632")
+    mean = float("-0.00788177")
+    std = float("0.0294678")
+    data = None
+
+
+class Program_weight_tensor_data_2:
+    name = "data_2"
+    shape = [33, 768]
+    dtype = "float32"
+    min_val = float("-0.0865287")
+    max_val = float("0.0865482")
+    mean = float("-0.000143484")
+    std = float("0.0501765")
+    data = None
+
+
+class Program_weight_tensor_data_3:
+    name = "data_3"
+    shape = []
+    dtype = "int64"
+    data = [7]
+
+
+class Program_weight_tensor_data_4:
+    name = "data_4"
+    shape = [7, 3, 448, 448]
+    dtype = "float32"
+    min_val = float("-2.1179")
+    max_val = float("2.64")
+    mean = float("-0.154463")
+    std = float("1.24419")
+    data = None