Delete test.py

test.py

@@ -1,29 +0,0 @@
-import torch
-from transformers import AutoModelForCausalLM, AutoTokenizer
-from PIL import Image
-
-
-torch.set_default_device("cuda")
-
-#Create model
-model = AutoModelForCausalLM.from_pretrained(
-    "/data/ouyangxc/labs/hg/imp-v1-3b", 
-    torch_dtype=torch.float16, 
-    device_map="auto",
-    trust_remote_code=True)
-tokenizer = AutoTokenizer.from_pretrained("/data/ouyangxc/labs/hg/imp-v1-3b", trust_remote_code=True)
-
-#Set inputs
-text = "A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. USER: <image>\nWhat's the color of the car? ASSISTANT:"
-image = Image.open("images/car.jpg")
-
-input_ids = tokenizer(text, return_tensors='pt').input_ids
-image_tensor = model.image_preprocess(image)
-
-#Generate the answer
-output_ids = model.generate(
-    input_ids,
-    max_new_tokens=150,
-    images=image_tensor,
-    use_cache=True)[0]
-print(tokenizer.decode(output_ids[input_ids.shape[1]:], skip_special_tokens=True).strip())