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from collections import OrderedDict |
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import torch |
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import structure.model |
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from concern.config import Configurable, State |
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class Builder(Configurable): |
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model = State() |
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model_args = State() |
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def __init__(self, cmd={}, **kwargs): |
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self.load_all(**kwargs) |
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if 'backbone' in cmd: |
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self.model_args['backbone'] = cmd['backbone'] |
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@property |
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def model_name(self): |
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return self.model + '-' + getattr(structure.model, self.model).model_name(self.model_args) |
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def build(self, device, distributed=False, local_rank: int = 0): |
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Model = getattr(structure.model,self.model) |
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model = Model(self.model_args, device, |
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distributed=distributed, local_rank=local_rank) |
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return model |
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