self.D = nn.Parameter(torch.randn(self.S, config.d_model)) self.E = nn.Parameter(torch.randn(config.d_model, self.M)) def forward(self, x): # 获取batch_size, n_seq ...
self.D = nn.Parameter(torch.randn(self.S, config.d_model)) self.E = nn.Parameter(torch.randn(config.d_model, self.M)) def forward(self, x): # 获取batch_size, n_seq ...
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