Method: Secryst::TransformerDecoderLayer#forward
- Defined in:
- lib/secryst/transformer.rb
#forward(tgt, memory, tgt_mask: nil, memory_mask: nil, tgt_key_padding_mask: nil, memory_key_padding_mask: nil) ⇒ Object
Pass the inputs (and mask) through the decoder layer. Args:
tgt: the sequence to the decoder layer (required).
memory: the sequence from the last layer of the encoder (required).
tgt_mask: the mask for the tgt sequence (optional).
memory_mask: the mask for the memory sequence (optional).
tgt_key_padding_mask: the mask for the tgt keys per batch (optional).
memory_key_padding_mask: the mask for the memory keys per batch (optional).
Shape:
see the docs in Transformer class.
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# File 'lib/secryst/transformer.rb', line 327 def forward(tgt, memory, tgt_mask: nil, memory_mask: nil, tgt_key_padding_mask: nil, memory_key_padding_mask: nil) tgt2 = @self_attn.call(tgt, tgt, tgt, attn_mask: tgt_mask, key_padding_mask: tgt_key_padding_mask)[0] tgt = tgt + @dropout1.call(tgt2) tgt = @norm1.call(tgt) tgt2 = @multihead_attn.call(tgt, memory, memory, attn_mask: memory_mask, key_padding_mask: memory_key_padding_mask)[0] tgt = tgt + @dropout2.call(tgt2) tgt = @norm2.call(tgt) tgt2 = @linear2.call(@dropout.call(@activation.call(@linear1.call(tgt)))) tgt = tgt + @dropout3.call(tgt2) tgt = @norm3.call(tgt) return tgt end |