[Model] Initialize Phi-3-vision support (#4986)

examples/phi3v_example.py

@@ -0,0 +1,57 @@
+import os
+import subprocess
+
+from PIL import Image
+
+from vllm import LLM, SamplingParams
+from vllm.multimodal.image import ImagePixelData
+
+
+def run_phi3v():
+    model_path = "microsoft/Phi-3-vision-128k-instruct"
+    llm = LLM(
+        model=model_path,
+        trust_remote_code=True,
+        max_model_len=4096,
+        image_input_type="pixel_values",
+        image_token_id=32044,
+        image_input_shape="1,3,1008,1344",
+        image_feature_size=1921,
+        disable_image_processor=False,
+    )
+
+    image = Image.open("images/cherry_blossom.jpg")
+
+    # single-image prompt
+    prompt = "<|user|>\n<|image_1|>\nWhat is the season?<|end|>\n<|assistant|>\n"  # noqa: E501
+    prompt = prompt.replace("<|image_1|>", "<|image|>" * 1921 + "<s>")
+
+    sampling_params = SamplingParams(temperature=0, max_tokens=64)
+
+    outputs = llm.generate({
+        "prompt": prompt,
+        "sampling_params": sampling_params,
+        "multi_modal_data": ImagePixelData(image),
+    })
+    for o in outputs:
+        generated_text = o.outputs[0].text
+        print(generated_text)
+
+
+if __name__ == "__main__":
+    s3_bucket_path = "s3://air-example-data-2/vllm_opensource_llava/"
+    local_directory = "images"
+
+    # Make sure the local directory exists or create it
+    os.makedirs(local_directory, exist_ok=True)
+
+    # Use AWS CLI to sync the directory, assume anonymous access
+    subprocess.check_call([
+        "aws",
+        "s3",
+        "sync",
+        s3_bucket_path,
+        local_directory,
+        "--no-sign-request",
+    ])
+    run_phi3v()