Method__init__(self, input_size:int, hidden_size:int=None, save_prev_x:bool=False, zoneout:float=0, window:int=1,
fastai/text/models/qrnn.py:84
Method__init__(self, n_out:int, n_hid:int, output_p:float, tie_encoder:nn.Module=None, bias:bool=True)
fastai/text/models/awd_lstm.py:140
Method__init__(self, learn: Learner, preds: Tensor, y_true: Tensor, losses: Tensor, ds_type: DatasetType = DatasetType.Valid
fastai/text/models/awd_lstm.py:207
Method__init__(self, n_heads:int, d_model:int, d_head:int=None, resid_p:float=0., attn_p:float=0., bias:bool=True,
fastai/text/models/transformer.py:35
Method__init__(self, n_heads:int, d_model:int, d_head:int, resid_p:float=0., attn_p:float=0., bias:bool=True,
fastai/text/models/transformer.py:92
Method__init__(self, n_heads:int, d_model:int, d_head:int, d_inner:int, resid_p:float=0., attn_p:float=0., ff_p:float=0.,
fastai/text/models/transformer.py:141
Method__init__(self, vocab_sz:int, ctx_len:int, n_layers:int, n_heads:int, d_model:int, d_head:int, d_inner:int,
fastai/text/models/transformer.py:176
Method_apply_attention(self, x:Tensor, r:Tensor=None, u:Tensor=None, v:Tensor=None, mask:Tensor=None, mem:Tensor=None)
fastai/text/models/transformer.py:97
Method_attention_einsum(self, x:Tensor, r:Tensor=None, u:Tensor=None, v:Tensor=None, mask:Tensor=None, mem:Tensor=None)
fastai/text/models/transformer.py:119