Add config from convert_relation_detr_original_pytorch_checkpoint_to_pytorch.py

config.json

@@ -1,14 +1,12 @@
 {
+  "_attn_implementation_autoset": true,
   "activation_dropout": 0.0,
   "activation_function": "relu",
-  "architectures": [
-    "RelationDetrForObjectDetection"
-  ],
   "attention_dropout": 0.0,
   "backbone": "resnet50",
   "backbone_config": null,
+  "backbone_features_format": "channels_first",
   "backbone_kwargs": {
-    "in_chans": 3,
     "out_indices": [
       2,
       3,
@@ -27,7 +25,6 @@
   "decoder_ffn_dim": 2048,
   "decoder_layers": 6,
   "decoder_n_points": 4,
-  "dilation": false,
   "disable_custom_kernels": false,
   "dropout": 0.0,
   "encoder_attention_heads": 8,
@@ -133,6 +130,7 @@
     "89": "hair drier",
     "90": "toothbrush"
   },
+  "init_bias_prior_prob": null,
   "init_std": 0.02,
   "init_xavier_std": 1.0,
   "is_encoder_decoder": true,
@@ -220,8 +218,8 @@
     "zebra": 24
   },
   "label_noise_ratio": 0.5,
+  "layer_norm_eps": 1e-05,
   "model_type": "relation_detr",
-  "num_channels": 3,
   "num_denoising": 100,
   "num_feature_levels": 4,
   "num_queries": 900,
@@ -231,8 +229,7 @@
   "sin_cos_offset": -0.5,
   "sin_cos_scale": 6.283185307179586,
   "sin_cos_temperature": 10000,
-  "torch_dtype": "float32",
-  "transformers_version": "4.47.0.dev0",
+  "transformers_version": "4.48.0.dev0",
   "two_stage_binary_cls": false,
   "use_pretrained_backbone": false,
   "use_timm_backbone": true