concat network
2020.08.27 00:19
https://discuss.pytorch.org/t/concatenate-layer-output-with-additional-input-data/20462
댓글 3
-
WHRIA
2020.09.05 11:08
-
WHRIA
2020.09.05 11:17
class MyModelA(nn.Module): def __init__(self): super(MyModelA, self).__init__() self.fc1 = nn.Linear(10, 2) def forward(self, x): x = self.fc1(x) return x class MyModelB(nn.Module): def __init__(self): super(MyModelB, self).__init__() self.fc1 = nn.Linear(20, 2) def forward(self, x): x = self.fc1(x) return x class MyEnsemble(nn.Module): def __init__(self, modelA, modelB): super(MyEnsemble, self).__init__() self.modelA = modelA self.modelB = modelB self.classifier = nn.Linear(4, 2) def forward(self, x1, x2): x1 = self.modelA(x1) x2 = self.modelB(x2) x = torch.cat((x1, x2), dim=1) x = self.classifier(F.relu(x)) return x # Create models and load state_dicts modelA = MyModelA() modelB = MyModelB() # Load state dicts modelA.load_state_dict(torch.load(PATH)) modelB.load_state_dict(torch.load(PATH)) model = MyEnsemble(modelA, modelB) x1, x2 = torch.randn(1, 10), torch.randn(1, 20) output = model(x1, x2)
-
WHRIA
2020.10.08 13:08
https://gist.github.com/andrewjong/6b02ff237533b3b2c554701fb53d5c4d
번호 | 제목 | 글쓴이 | 날짜 | 조회 수 |
---|---|---|---|---|
171 | slide note 삭제 슬라이드 노트 삭제 | WHRIA | 2018.09.12 | 4393 |
170 | Deep learning 기반 DEMO | WHRIA | 2018.09.16 | 7103 |
169 | register | WHRIA | 2018.09.21 | 1892 |
168 | ambient-light-sensor | WHRIA | 2018.09.29 | 250 |
167 | Intro | WHRIA | 2018.10.01 | 3969 |
166 | faster rcnn cuda 10 | WHRIA | 2018.10.06 | 2084 |
165 | delayed network drive connect | WHRIA | 2018.10.07 | 145 |
164 | mixed precision training [1] | WHRIA | 2018.11.06 | 1757 |
163 | excel 에서 소수점 표시 함수 | WHRIA | 2018.11.08 | 183 |
162 | ac-68u dd-wrt 에서 정펌으로 복구 | WHRIA | 2018.11.22 | 532 |
161 | fatal error: turbojpeg.h: No such file or directory | WHRIA | 2018.11.24 | 620 |
160 | CNN Models | WHRIA | 2018.12.23 | 338 |
159 | imbalanced dataset | WHRIA | 2018.12.26 | 28 |
158 | center % crop | WHRIA | 2018.12.27 | 52 |
157 | Swap file add | WHRIA | 2019.01.02 | 2122 |
https://discuss.pytorch.org/t/combining-trained-models-in-pytorch/28383/2