[New Sample] Add Some zero-shot-object-detection Model Computational Graph (#203)

Author: ooooo-create

samples/transformers-auto-model/IDEA-Research_grounding-dino-base/graph_hash.txt

@@ -0,0 +1 @@
+affc8c7cd95d8acc9ee5582af79eef03a74c19d6a08a54cd80ec10a6086cdba1

samples/transformers-auto-model/IDEA-Research_grounding-dino-base/graph_net.json

@@ -0,0 +1,6 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1,
+    "dynamic": false
+}

samples/transformers-auto-model/IDEA-Research_grounding-dino-base/input_meta.py

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+class Program_weight_tensor_meta_L_stack0_encoder_last_hidden_state_text:
+    name = "L_stack0_encoder_last_hidden_state_text"
+    shape = [1, 7, 256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 1.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_stack0_intermediate_hidden_states:
+    name = "L_stack0_intermediate_hidden_states"
+    shape = [1, 6, 900, 256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 1.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_stack0_init_reference_points:
+    name = "L_stack0_init_reference_points"
+    shape = [1, 900, 4]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.400
+    std = 0.296
+    data = None
+
+
+class Program_weight_tensor_meta_L_stack0_intermediate_reference_points:
+    name = "L_stack0_intermediate_reference_points"
+    shape = [1, 6, 900, 4]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.400
+    std = 0.296
+    data = None
+
+
+class Program_weight_tensor_meta_L_attention_mask_:
+    name = "L_attention_mask_"
+    shape = [1, 7]
+    dtype = "torch.int64"
+    device = "cuda:0"
+    mean = None
+    std = None
+    data = [1, 1, 1, 1, 1, 1, 1]
+
+
+class Program_weight_tensor_meta_L_self_modules_bbox_embed_modules_0_modules_layers_modules_0_parameters_weight_:
+    name = "L_self_modules_bbox_embed_modules_0_modules_layers_modules_0_parameters_weight_"
+    shape = [256, 256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bbox_embed_modules_0_modules_layers_modules_0_parameters_bias_:
+    name = (
+        "L_self_modules_bbox_embed_modules_0_modules_layers_modules_0_parameters_bias_"
+    )
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bbox_embed_modules_0_modules_layers_modules_1_parameters_weight_:
+    name = "L_self_modules_bbox_embed_modules_0_modules_layers_modules_1_parameters_weight_"
+    shape = [256, 256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bbox_embed_modules_0_modules_layers_modules_1_parameters_bias_:
+    name = (
+        "L_self_modules_bbox_embed_modules_0_modules_layers_modules_1_parameters_bias_"
+    )
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bbox_embed_modules_0_modules_layers_modules_2_parameters_weight_:
+    name = "L_self_modules_bbox_embed_modules_0_modules_layers_modules_2_parameters_weight_"
+    shape = [4, 256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bbox_embed_modules_0_modules_layers_modules_2_parameters_bias_:
+    name = (
+        "L_self_modules_bbox_embed_modules_0_modules_layers_modules_2_parameters_bias_"
+    )
+    shape = [4]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = [0.000000, 0.000000, 0.000000, 0.000000]

samples/transformers-auto-model/IDEA-Research_grounding-dino-base/input_tensor_constraints.py

@@ -0,0 +1 @@
+3eb7ef4fc44c784bf246435c08ca58a7f6defb71f4707d5dfa27e4bf629fc09d

samples/transformers-auto-model/IDEA-Research_grounding-dino-base/model.py

@@ -0,0 +1,6 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1,
+    "dynamic": true
+}