private static GrpcService.ModelMetadataResponse.TensorMetadata findMatchingInput(
            List<GrpcService.ModelMetadataResponse.TensorMetadata> onnxInputTypes, String vespaName) {
            for (var inputType : onnxInputTypes) {
                if (inputType.getName().equals(vespaName)) return inputType;
            }
            for (var inputType : onnxInputTypes) {
                if (OnnxImporter.asValidIdentifier(inputType.getName()).equals(vespaName)) return inputType;
            }
            throw new TritonException("No matching input type found for " + vespaName);
    }
Experimental model inference using Nvidia Triton as ONNX backend.

@author bjorncs
model-integration/src/main/java/ai/vespa/triton/TritonOnnxClient.java