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config.json

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+{
+  "_name_or_path": "microsoft/dit-large",
+  "architectures": [
+    "BeitForMaskedImageModeling"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "auxiliary_channels": 256,
+  "auxiliary_concat_input": false,
+  "auxiliary_loss_weight": 0.4,
+  "auxiliary_num_convs": 1,
+  "drop_path_rate": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 1024,
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-12,
+  "layer_scale_init_value": 0.1,
+  "model_type": "beit",
+  "num_attention_heads": 16,
+  "num_channels": 3,
+  "num_hidden_layers": 24,
+  "out_indices": [
+    3,
+    5,
+    7,
+    11
+  ],
+  "patch_size": 16,
+  "pool_scales": [
+    1,
+    2,
+    3,
+    6
+  ],
+  "semantic_loss_ignore_index": 255,
+  "transformers_version": "4.33.2",
+  "use_absolute_position_embeddings": true,
+  "use_auxiliary_head": true,
+  "use_mask_token": true,
+  "use_mean_pooling": true,
+  "use_relative_position_bias": false,
+  "use_shared_relative_position_bias": false,
+  "vocab_size": 8192
+}

onnx/model.onnx

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4c8baa7b7198c5b32a4dcd5df24c3cf0a8004a3aa99cd62b56a20758ba7be82f
+size 1213786258

onnx/model_quantized.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:619b9ddce2c0a3c869332052b5c04c9482c86938a42aca2f37ce9b1acf34e3c6
+size 306904178

preprocessor_config.json

@@ -0,0 +1,29 @@
+{
+  "crop_size": {
+    "height": 224,
+    "width": 224
+  },
+  "do_center_crop": false,
+  "do_normalize": true,
+  "do_reduce_labels": false,
+  "do_rescale": true,
+  "do_resize": true,
+  "feature_extractor_type": "BeitFeatureExtractor",
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "BeitFeatureExtractor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

quantize_config.json

@@ -0,0 +1,34 @@
+{
+    "per_channel": true,
+    "reduce_range": true,
+    "per_model_config": {
+        "model": {
+            "op_types": [
+                "Shape",
+                "Pow",
+                "Add",
+                "Slice",
+                "MatMul",
+                "Erf",
+                "Where",
+                "Sqrt",
+                "Mul",
+                "Concat",
+                "Constant",
+                "Sub",
+                "Equal",
+                "Conv",
+                "Transpose",
+                "Gather",
+                "Expand",
+                "Softmax",
+                "Reshape",
+                "ConstantOfShape",
+                "Unsqueeze",
+                "Div",
+                "ReduceMean"
+            ],
+            "weight_type": "QUInt8"
+        }
+    }
+}