Add config from convert_d_fine_original_pytorch_checkpoint_to_hf.py

config.json

@@ -1,10 +1,8 @@
 {
+  "_attn_implementation_autoset": true,
   "activation_dropout": 0.0,
   "activation_function": "silu",
   "anchor_image_size": null,
-  "architectures": [
-    "DFineForObjectDetection"
-  ],
   "attention_dropout": 0.0,
   "auxiliary_loss": true,
   "backbone": null,
@@ -90,6 +88,7 @@
     256
   ],
   "decoder_layers": 3,
+  "decoder_method": "default",
   "decoder_n_points": 4,
   "decoder_offset_scale": 0.5,
   "depth_mult": 0.34,
@@ -291,6 +290,8 @@
   "layer_norm_eps": 1e-05,
   "layer_scale": 1,
   "learn_initial_query": false,
+  "lqe_hidden_dim": 64,
+  "lqe_layers": 2,
   "matcher_alpha": 0.25,
   "matcher_bbox_cost": 5.0,
   "matcher_class_cost": 2.0,
@@ -304,7 +305,7 @@
   "positional_encoding_temperature": 10000,
   "reg_max": 32,
   "reg_scale": 4.0,
-  "torch_dtype": "float32",
+  "top_prob_values": 4,
   "transformers_version": "4.49.0.dev0",
   "use_focal_loss": true,
   "use_pretrained_backbone": false,