| # ------------------------------------------------------------- |
| # |
| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # to you under the Apache License, Version 2.0 (the |
| # "License"); you may not use this file except in compliance |
| # with the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, |
| # software distributed under the License is distributed on an |
| # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| # KIND, either express or implied. See the License for the |
| # specific language governing permissions and limitations |
| # under the License. |
| # |
| # ------------------------------------------------------------- |
| |
| from typing import List |
| |
| import numpy as np |
| |
| from systemds.scuro.modality.modality import Modality |
| |
| from systemds.scuro.representations.fusion import Fusion |
| |
| from systemds.scuro.drsearch.operator_registry import register_fusion_operator |
| |
| |
| @register_fusion_operator() |
| class Hadamard(Fusion): |
| def __init__(self): |
| """ |
| Combines modalities using elementwise multiply (Hadamard product) |
| """ |
| super().__init__("Hadamard") |
| self.needs_alignment = True # zero padding falsifies the result |
| self.commutative = True |
| self.associative = True |
| |
| def transform(self, modalities: List[Modality], train_indices=None): |
| # TODO: check for alignment in the metadata |
| fused_data = np.prod([m.data for m in modalities], axis=0) |
| |
| return fused_data |