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Fix run.py #24

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Fix run.py #24

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9 changes: 5 additions & 4 deletions run.py
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Original file line number Diff line number Diff line change
Expand Up @@ -140,11 +140,12 @@ def main(
top_p: float = 0.95,
max_new_tokens: int = 128, # max number of tokens to generate
batch_size: int = 1,
res_dir: str = "./results"
res_dir: str = "./results",
device: str = "cuda",
):

# Load the dataset
dataset = load_dataset(dataset_name, ignore_verifications=True)
dataset = load_dataset(dataset_name)

# Filter the dataset by date range
dataset = filter_dataset_by_date_range(dataset, start_date, end_date)
Expand All @@ -157,7 +158,7 @@ def main(
tokenizer.padding_side = "left"
tokenizer.pad_token_id = tokenizer.eos_token_id

model = AutoModelForCausalLM.from_pretrained(model_name, trust_remote_code=True).cuda()
model = AutoModelForCausalLM.from_pretrained(model_name, trust_remote_code=True).to(device)
model.generation_config.pad_token_id = tokenizer.pad_token_id

# Create the save directory
Expand All @@ -169,7 +170,7 @@ def main(
batch_data = [data[j] for j in range(i, min(i + batch_size, len(data)))]
batch_prompts = [construct_prompt(d, tokenizer=tokenizer, max_token_nums=max_token_nums, language=language) for d in batch_data]

batch_inputs = tokenizer(batch_prompts, return_tensors="pt", padding=True).to("cuda")
batch_inputs = tokenizer(batch_prompts, return_tensors="pt", padding=True).to(device)
batch_outputs = model.generate(**batch_inputs, max_new_tokens=max_new_tokens, temperature=temperature, top_p=top_p, do_sample=True)

for j, outputs in enumerate(batch_outputs):
Expand Down