43 lines
1.1 KiB
Python
43 lines
1.1 KiB
Python
#####################################################
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# Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2021.01 #
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#####################################################
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import abc
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import torch.nn as nn
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from enum import Enum
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class SuperRunMode(Enum):
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"""This class defines the enumerations for Super Model Running Mode."""
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FullModel = "fullmodel"
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Default = "fullmodel"
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class SuperModule(abc.ABCMeta, nn.Module):
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"""This class equips the nn.Module class with the ability to apply AutoDL."""
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def __init__(self):
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super(SuperModule, self).__init__()
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self._super_run_type = SuperRunMode.default
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@abc.abstractmethod
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def abstract_search_space(self):
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raise NotImplementedError
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@property
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def super_run_type(self):
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return self._super_run_type
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@abc.abstractmethod
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def forward_raw(self, *inputs):
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raise NotImplementedError
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def forward(self, *inputs):
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if self.super_run_type == SuperRunMode.FullModel:
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return self.forward_raw(*inputs)
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else:
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raise ModeError(
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"Unknown Super Model Run Mode: {:}".format(self.super_run_type)
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)
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