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models/model_meta.json

@@ -0,0 +1,34 @@
+{
+  "model_name": "resnet50",
+  "framework": "pytorch",
+  "architecture": "resnet50",
+  "task": "image-classification",
+  "num_classes": 1000,
+  "inputs": [
+    {
+      "name": "input",
+      "shape": [
+        1,
+        3,
+        224,
+        224
+      ],
+      "dtype": "float32",
+      "layout": "NCHW",
+      "preprocess": "ImageNet normalization. Pulsar2: mean=[123.67, 116.28, 103.53], calibration_std=[58.4, 57.12, 57.38]"
+    }
+  ],
+  "outputs": [
+    {
+      "name": "output",
+      "shape": [
+        1,
+        1000
+      ],
+      "dtype": "float32",
+      "semantic": "ImageNet class logits"
+    }
+  ],
+  "opset": 18,
+  "onnx_size_bytes": 102359372
+}