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[Core][VLM] Add precise multi-modal placeholder tracking (#8346)

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Signed-off-by: Peter Salas <peter@fixie.ai>
This commit is contained in:
Peter Salas
2024-11-01 16:21:10 -07:00
committed by GitHub
parent d151fde834
commit 6c0b7f548d
53 changed files with 913 additions and 281 deletions
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8
vllm/model_executor/models/internvl.py
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@@ -17,8 +17,8 @@ from transformers import PretrainedConfig
from vllm.attention import AttentionMetadata
from vllm.config import CacheConfig, MultiModalConfig
from vllm.inputs import (INPUT_REGISTRY, DecoderOnlyInputs, InputContext,
token_inputs)
from vllm.inputs import (INPUT_REGISTRY, DecoderOnlyInputs, DummyData,
InputContext, token_inputs)
from vllm.model_executor.layers.quantization import (AWQConfig,
QuantizationConfig)
from vllm.model_executor.layers.sampler import Sampler, SamplerOutput
@@ -379,7 +379,7 @@ class InternVLInputPipeline:
model_config.tokenizer,
trust_remote_code=model_config.trust_remote_code)
seq_data = dummy_seq_data_for_clip(
seq_data, ranges = dummy_seq_data_for_clip(
hf_config.vision_config,
seq_len,
num_images,
@@ -398,7 +398,7 @@ class InternVLInputPipeline:
image_height_override=max_image_height,
)
return seq_data, mm_data
return DummyData(seq_data, mm_data, ranges)
input_pipeline = InternVLInputPipeline(IMG_START, IMG_END, IMG_CONTEXT)