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fix minicpm-v 2.5 (#11780)

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Yishuo Wang 2024-08-13 16:14:00 +08:00 committed by GitHub
parent ec184af243
commit a184b120c9
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2 changed files with 21 additions and 31 deletions
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26
python/llm/src/ipex_llm/transformers/convert.py
View file

@ -1755,19 +1755,29 @@ def _optimize_post(model, lightweight_bmm=False):
module.MiniCPMModel, module.MiniCPMModel,
minicpm_model_forward) minicpm_model_forward)
elif model.config.model_type == "minicpmv": elif model.config.model_type == "minicpmv":
if model.config.hidden_size == 3584 and model.config.vocab_size == 151666:
model.llm.config.model_type = "qwen2"
_optimize_post(model.llm, lightweight_bmm=lightweight_bmm)
model.llm.config.model_type = "minicpmv"
modeling_module_name = model.__class__.__module__ modeling_module_name = model.__class__.__module__
module = importlib.import_module(modeling_module_name) module = importlib.import_module(modeling_module_name)
from ipex_llm.transformers.models.minicpmv import minicpmv_generate_wrapper from ipex_llm.transformers.models.minicpmv import minicpmv_generate_wrapper
minicpmv_generate = minicpmv_generate_wrapper(module.MiniCPMV.generate) minicpmv_generate = minicpmv_generate_wrapper(module.MiniCPMV.generate)
model.generate = MethodType(minicpmv_generate, model) model.generate = MethodType(minicpmv_generate, model)
modeling_module_name = model.vpm.__class__.__module__ if model.config.hidden_size == 3584 and model.config.vocab_size == 151666:
module = importlib.import_module(modeling_module_name) # MiniCPM-V 2.6
from ipex_llm.transformers.models.minicpmv import siglip_attention_forward model.llm.config.model_type = "qwen2"
convert_forward(model, module.SiglipAttention, siglip_attention_forward) _optimize_post(model.llm, lightweight_bmm=lightweight_bmm)
model.llm.config.model_type = "minicpmv"
elif model.config.hidden_size == 4096 and model.config.vocab_size == 128256:
# MiniCPM-V 2.5
pass
vpm_modeling_module_name = model.vpm.__class__.__module__
vpm_module = importlib.import_module(vpm_modeling_module_name)
if model.vpm.config.model_type == "siglip":
# MiniCPM-V 2.6
from ipex_llm.transformers.models.minicpmv import siglip_attention_forward
convert_forward(model, vpm_module.SiglipAttention, siglip_attention_forward)
elif model.vpm.config.model_type == "idefics2":
# MiniCPM-V 2.5
pass
return model return model

26
python/llm/src/ipex_llm/transformers/models/minicpmv.py
View file

@ -69,32 +69,12 @@ def patched_repetition_penalty_call(self, input_ids: torch.LongTensor, scores: t
def minicpmv_generate_wrapper(origin_generate): def minicpmv_generate_wrapper(origin_generate):
def generate( def generate(
self, *inputs,
input_ids=None,
pixel_values=None,
tgt_sizes=None,
image_bound=None,
attention_mask=None,
tokenizer=None,
vision_hidden_states=None,
return_vision_hidden_states=False,
stream=False,
decode_text=False,
**kwargs **kwargs
): ):
RepetitionPenaltyLogitsProcessor.__call__ = patched_repetition_penalty_call RepetitionPenaltyLogitsProcessor.__call__ = patched_repetition_penalty_call
return origin_generate( return origin_generate(
self=self, *inputs,
input_ids=input_ids, **kwargs,
pixel_values=pixel_values,
tgt_sizes=tgt_sizes,
image_bound=image_bound,
attention_mask=attention_mask,
tokenizer=tokenizer,
vision_hidden_states=vision_hidden_states,
return_vision_hidden_states=return_vision_hidden_states,
stream=stream,
decode_text=decode_text,
**kwargs
) )
return generate return generate