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35 lines
1.0 KiB
Python
35 lines
1.0 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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from dataclasses import dataclass
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from typing import Literal
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import torch
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from PIL import Image
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from .base import get_vllm_public_assets
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VLM_IMAGES_DIR = "vision_model_images"
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ImageAssetName = Literal["stop_sign", "cherry_blossom", "hato"]
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@dataclass(frozen=True)
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class ImageAsset:
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name: ImageAssetName
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@property
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def pil_image(self) -> Image.Image:
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image_path = get_vllm_public_assets(filename=f"{self.name}.jpg",
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s3_prefix=VLM_IMAGES_DIR)
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return Image.open(image_path)
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@property
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def image_embeds(self) -> torch.Tensor:
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"""
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Image embeddings, only used for testing purposes with llava 1.5.
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"""
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image_path = get_vllm_public_assets(filename=f"{self.name}.pt",
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s3_prefix=VLM_IMAGES_DIR)
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return torch.load(image_path, map_location="cpu", weights_only=True)
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