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Length masking for batch inputs (#1173)

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* length masking

* add mask to mlx_lm model interface

* remove lengths

* fix test:

* comment + fix
This commit is contained in:
Alex Barron
2024-12-18 19:43:52 -08:00
committed by GitHub
parent db109184b7
commit d4ef909d4a
34 changed files with 191 additions and 72 deletions
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7
llms/mlx_lm/models/gpt2.py
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@@ -126,6 +126,7 @@ class GPT2Model(nn.Module):
def __call__(
self,
inputs: mx.array,
mask: mx.array = None,
cache=None,
):
_, L = inputs.shape
@@ -138,7 +139,8 @@ class GPT2Model(nn.Module):
position_ids = mx.array(np.arange(L))
hidden_states += self.wpe(position_ids)
mask = create_attention_mask(hidden_states, cache)
if mask is None:
mask = create_attention_mask(hidden_states, cache)
if cache is None:
cache = [None] * len(self.h)
@@ -159,9 +161,10 @@ class Model(nn.Module):
def __call__(
self,
inputs: mx.array,
mask: mx.array = None,
cache=None,
):
out = self.model(inputs, cache)
out = self.model(inputs, mask, cache)
out = self.model.wte.as_linear(out)
return out