Created
May 24, 2020 22:05
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class NaiveCustomLSTM(nn.Module): | |
def __init__(self, input_sz: int, hidden_sz: int): | |
super().__init__() | |
self.input_size = input_sz | |
self.hidden_size = hidden_sz | |
#i_t | |
self.U_i = nn.Parameter(torch.Tensor(input_sz, hidden_sz)) | |
self.V_i = nn.Parameter(torch.Tensor(hidden_sz, hidden_sz)) | |
self.b_i = nn.Parameter(torch.Tensor(hidden_sz)) | |
#f_t | |
self.U_f = nn.Parameter(torch.Tensor(input_sz, hidden_sz)) | |
self.V_f = nn.Parameter(torch.Tensor(hidden_sz, hidden_sz)) | |
self.b_f = nn.Parameter(torch.Tensor(hidden_sz)) | |
#c_t | |
self.U_c = nn.Parameter(torch.Tensor(input_sz, hidden_sz)) | |
self.V_c = nn.Parameter(torch.Tensor(hidden_sz, hidden_sz)) | |
self.b_c = nn.Parameter(torch.Tensor(hidden_sz)) | |
#o_t | |
self.U_o = nn.Parameter(torch.Tensor(input_sz, hidden_sz)) | |
self.V_o = nn.Parameter(torch.Tensor(hidden_sz, hidden_sz)) | |
self.b_o = nn.Parameter(torch.Tensor(hidden_sz)) | |
self.init_weights() |
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