forked from tinygrad/tinygrad
remove freqs_cis contiguous in llama (#11597)
This commit is contained in:
@@ -181,12 +181,11 @@ class Transformer:
|
||||
def forward(self, tokens:Tensor, start_pos:Union[Variable,int], temperature:float, top_k:int, top_p:float, alpha_f:float, alpha_p:float):
|
||||
_bsz, seqlen = tokens.shape
|
||||
h = self.tok_embeddings(tokens)
|
||||
|
||||
self.freqs_cis = self.freqs_cis.cast(h.dtype).contiguous()
|
||||
freqs_cis = self.freqs_cis[:, start_pos:start_pos+seqlen, :, :, :]
|
||||
freqs_cis = self.freqs_cis.cast(h.dtype)[:, start_pos:start_pos+seqlen, :, :, :]
|
||||
|
||||
mask = Tensor.full((1, 1, seqlen, start_pos+seqlen), float("-inf"), dtype=h.dtype, device=h.device).triu(start_pos+1) if seqlen > 1 else None
|
||||
for layer in self.layers: h = layer(h, start_pos, freqs_cis, mask)
|
||||
# TODO: remove .float()?
|
||||
logits = self.output(self.norm(h)).float()
|
||||
if math.isnan(temperature): return logits
|
||||
|
||||
|
||||
Reference in New Issue
Block a user