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@@ -100,9 +100,7 @@ class SFM_Model(nn.Module):
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x_c = torch.matmul(x * B_W[0], self.W_c) + self.b_c
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x_o = torch.matmul(x * B_W[0], self.W_o) + self.b_o
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i = self.inner_activation(
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x_i + torch.matmul(h_tm1 * B_U[0], self.U_i)
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)
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i = self.inner_activation(x_i + torch.matmul(h_tm1 * B_U[0], self.U_i))
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ste = self.inner_activation(x_ste + torch.matmul(h_tm1 * B_U[0], self.U_ste))
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fre = self.inner_activation(x_fre + torch.matmul(h_tm1 * B_U[0], self.U_fre))
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