def __init__(self,
n_layers,
n_head,
d_k,
d_v,
d_model,
d_inner,
dropout=0.1):
super().__init__()
self.layer_stack = nn.ModuleList([
EncoderLayer(d_model, d_inner, n_head, d_k, d_v, dropout=dropout)
for _ in range(n_layers)
])
def __init__(self,
n_layers,
n_head,
d_k,
d_v,
d_model,
d_inner,
dropout=0.1):
super().__init__()
self.n_layer = int(n_layers)
self.n_head = int(n_head)
self.hidden_size = int(d_model)
self.head_size = int(self.hidden_size / self.n_head)
self.seq_len = 256
self.linear = nn.Linear(self.hidden_size, self.n_head * 4)
self.softmax = nn.Softmax(dim=-1)
self.layer_stack = nn.ModuleList([
EncoderLayer(d_model, d_inner, n_head, d_k, d_v, dropout=dropout)
for _ in range(n_layers)
])
