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feat: add use_flex_decoding parameter for non-CUDA devices #326

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feat: add use_flex_decoding parameter for non-CUDA devices #326

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6 changes: 4 additions & 2 deletions moondream/torch/hf_moondream.py
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Original file line number Diff line number Diff line change
Expand Up @@ -29,9 +29,10 @@ class HfConfig(PretrainedConfig):
_auto_class = "AutoConfig"
model_type = "moondream3"

def __init__(self, **kwargs):
def __init__(self, use_flex_decoding=True, **kwargs):
super().__init__(**kwargs)
self.config = {"skills": ["query", "caption", "detect", "point"]}
self.use_flex_decoding = use_flex_decoding


class HfMoondream(PreTrainedModel):
Expand All @@ -40,8 +41,9 @@ class HfMoondream(PreTrainedModel):

def __init__(self, config):
super().__init__(config)
use_flex_decoding = getattr(config, 'use_flex_decoding', True)
self.model = MoondreamModel(
MoondreamConfig.from_dict(config.config), setup_caches=False
MoondreamConfig.from_dict(config.config), setup_caches=False, use_flex_decoding=use_flex_decoding
)
self._is_kv_cache_setup = False

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4 changes: 2 additions & 2 deletions moondream/torch/moondream.py
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Original file line number Diff line number Diff line change
Expand Up @@ -93,7 +93,7 @@ def _mask_mod(b, h, q, kv):
class MoondreamModel(nn.Module):

def __init__(
self, config: MoondreamConfig, dtype=torch.bfloat16, setup_caches=True
self, config: MoondreamConfig, dtype=torch.bfloat16, setup_caches=True, use_flex_decoding=True
):
super().__init__()
self.config = config
Expand Down Expand Up @@ -139,7 +139,7 @@ def __init__(
attn_mask[..., :prefix_attn_len, :prefix_attn_len] = 1
self.register_buffer("attn_mask", attn_mask, persistent=False)

self.use_flex_decoding = True
self.use_flex_decoding = use_flex_decoding
self._causal_block_mask = None
self._point_gen_indices = None

Expand Down