Merge pull request #17895 from vespa-engine/lesters/onnx-rt-evaluator

Add ONNX-RT evaluator to model-integration module

1 files changed, 38 insertions, 0 deletions

diff --git a/model-integration/src/test/models/onnx/pytorch/pytorch_one_layer.py b/model-integration/src/test/models/onnx/pytorch/pytorch_one_layer.py
new file mode 100755
index 00000000000..1296d84e180
--- /dev/null
+++ b/model-integration/src/test/models/onnx/pytorch/pytorch_one_layer.py
@@ -0,0 +1,38 @@
+# Copyright Verizon Media. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
+
+import torch
+import torch.onnx
+
+
+class MyModel(torch.nn.Module):
+    def __init__(self):
+        super(MyModel, self).__init__()
+        self.linear = torch.nn.Linear(in_features=3, out_features=1)
+        self.logistic = torch.nn.Sigmoid()
+
+    def forward(self, vec):
+        return self.logistic(self.linear(vec))
+
+
+def main():
+    model = MyModel()
+
+    # Omit training - just export randomly initialized network
+
+    data = torch.FloatTensor([[0.1, 0.2, 0.3],[0.4, 0.5, 0.6]])
+    torch.onnx.export(model,
+                      data,
+                      "one_layer.onnx",
+                      input_names = ["input"],
+                      output_names = ["output"],
+                      dynamic_axes = {
+                          "input": {0: "batch"},
+                          "output": {0: "batch"},
+                      },
+                      opset_version=12)
+
+
+if __name__ == "__main__":
+    main()
+
+