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 |
---|---|---|---|---|
1789 | Haitian Creole - Haitian | WHRIA | 2024.05.24 | 0 |
1788 | Hausa - Hausa | WHRIA | 2024.05.24 | 0 |
1787 | Hebrew - עברית | WHRIA | 2024.05.24 | 0 |
1786 | Hindi - हिन्दी | WHRIA | 2024.05.24 | 0 |
1785 | Hungarian - magyar | WHRIA | 2024.05.24 | 0 |
1784 | Icelandic - íslenska | WHRIA | 2024.05.24 | 0 |
1783 | Igbo - Igbo | WHRIA | 2024.05.24 | 0 |
1782 | Indonesian - bahasa | WHRIA | 2024.05.24 | 0 |
1781 | Irish - Gaeilge | WHRIA | 2024.05.24 | 0 |
1780 | Italian - italiano | WHRIA | 2024.05.24 | 0 |
1779 | Japanese - 日本語 | WHRIA | 2024.05.24 | 0 |
1778 | Kannada - ಕನ್ನಡ | WHRIA | 2024.05.24 | 0 |
1777 | Khmer - ខ្មែរ | WHRIA | 2024.05.24 | 0 |
1776 | Korean - 한국어 | WHRIA | 2024.05.24 | 0 |
1775 | Kurdish - kurdî | WHRIA | 2024.05.24 | 0 |
https://discuss.pytorch.org/t/combining-trained-models-in-pytorch/28383/2