41 lines
1.2 KiB
Python
41 lines
1.2 KiB
Python
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#####################################################
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# Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2021.03 #
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#####################################################
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import torch
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import torch.nn as nn
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import torch.nn.functional as F
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import math
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from typing import Optional, Callable
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import spaces
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from .super_module import SuperModule
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from .super_module import IntSpaceType
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from .super_module import BoolSpaceType
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class SuperDropout(SuperModule):
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"""Applies a the dropout function element-wise."""
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def __init__(self, p: float = 0.5, inplace: bool = False) -> None:
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super(SuperDropout, self).__init__()
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self._p = p
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self._inplace = inplace
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@property
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def abstract_search_space(self):
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return spaces.VirtualNode(id(self))
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def forward_candidate(self, input: torch.Tensor) -> torch.Tensor:
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return self.forward_raw(input)
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def forward_raw(self, input: torch.Tensor) -> torch.Tensor:
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return F.dropout(input, self._p, self.training, self._inplace)
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def forward_with_container(self, input, container, prefix=[]):
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return self.forward_raw(input)
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def extra_repr(self) -> str:
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xstr = "inplace=True" if self._inplace else ""
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return "p={:}".format(self._p) + ", " + xstr
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