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Only Apply the TP in language_model (#219)

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Signed-off-by: yuanwu <yuan.wu@intel.com>
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yuanwu2017 2024-09-07 04:19:24 +08:00 committed by GitHub
parent 73d93bdd93
commit 2299b739fe
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server/text_generation_server/models/vlm_causal_lm.py
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@ -46,6 +46,7 @@ import habana_frameworks.torch as htorch
from optimum.habana.utils import HabanaProfile
from optimum.habana.transformers.generation import MODELS_OPTIMIZED_WITH_STATIC_SHAPES
from optimum.habana.utils import get_hpu_memory_stats
from optimum.habana.checkpoint_utils import get_ds_injection_policy
from transformers import (
AutoTokenizer,
@ -177,7 +178,6 @@ def load_data_uri(image_uri: str) -> Image.Image:
image = Image.open(BytesIO(content))
return image
class VlmCausalLMBatch(CausalLMBatch):
pixel_values: Optional[List[torch.Tensor]]
pixel_attention_mask: Optional[List[torch.Tensor]]
@ -682,6 +682,7 @@ class VlmCausalLM(Model):
ds_inference_kwargs = {"dtype": dtype}
ds_inference_kwargs["tensor_parallel"] = {"tp_size": world_size}
ds_inference_kwargs["enable_cuda_graph"] = False
ds_inference_kwargs["injection_policy"] = get_ds_injection_policy(model.language_model.config)
if load_to_meta:
# model loaded to meta is managed differently