[AnomalyDetection] Add Custom Detector to support custom model handlers #34285
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- torch.Tensor(n) gives a nx1-tensor with zeros: i.e. Tensor(0, 0, ... 0). - torch.tensor(n) gives a 1x1-tensor with value n: i.e. Tensor(n).
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Missed that this was a prereq for #34286 (review) and left some high level comments there instead, PTAL
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To support offline model scoring with model handler and RunInference, we add a new
AnomalyDetectorclass calledCustomDetectorfor storing model handler and other information. Then we modify our transform to expand the pipeline with RunInference Transform if we see this new type of detctors.This PR only contains the code change for the new detector. The follow-up PR (#34286) is for the transform change.