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resnet-image-embedding
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66 lines
2.0 KiB
66 lines
2.0 KiB
3 years ago
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# Copyright 2021 Zilliz. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import pprint
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class EmbeddingOutput:
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"""
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Container for embedding extractor.
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"""
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def __init__(self):
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self.embeddings = []
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def __call__(self, module, module_in, module_out):
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self.embeddings.append(module_out)
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def clear(self):
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"""
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clear list
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"""
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self.embeddings = []
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class EmbeddingExtractor:
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"""
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Embedding extractor from a layer
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Args:
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model (`nn.Module`):
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Model used for inference.
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"""
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def __init__(self, model):
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# self.modules = model.modules()
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# self.modules_list = list(model.named_modules(remove_duplicate=False))
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self.modules_dict = dict(model.named_modules(remove_duplicate=False))
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self.emb_out = EmbeddingOutput()
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def disp_modules(self, full=False):
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"""
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Display the the modules of the model.
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"""
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if not full:
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pprint.pprint(list(self.modules_dict.keys()))
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else:
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pprint.pprint(self.modules_dict)
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def register(self, layer_name: str):
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"""
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Registration for embedding extraction.
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Args:
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layer_name (`str`):
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Name of the layer from which the embedding is extracted.
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"""
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if layer_name in self.modules_dict:
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layer = self.modules_dict[layer_name]
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layer.register_forward_hook(self.emb_out)
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else:
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raise ValueError('layer_name not in modules')
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