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optimize lookahead init time #11769

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merged 1 commit into from
Aug 12, 2024
Merged

optimize lookahead init time #11769

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5 changes: 2 additions & 3 deletions python/llm/example/GPU/HuggingFace/LLM/qwen2/generate.py
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Original file line number Diff line number Diff line change
Expand Up @@ -19,7 +19,6 @@
import argparse

from transformers import AutoTokenizer
from ipex_llm import optimize_model
import numpy as np


Expand All @@ -36,7 +35,7 @@
args = parser.parse_args()
model_path = args.repo_id_or_model_path


from ipex_llm.transformers import AutoModelForCausalLM
# Load model in 4 bit,
# which convert the relevant layers in the model into INT4 format
Expand All @@ -45,7 +44,7 @@
optimize_model=True,
trust_remote_code=True,
use_cache=True)
model = model.to("xpu")
model = model.half().to("xpu")

# Load tokenizer
tokenizer = AutoTokenizer.from_pretrained(model_path,
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2 changes: 1 addition & 1 deletion python/llm/src/ipex_llm/transformers/lookup.py
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Expand Up @@ -149,7 +149,7 @@ def init_look_up_table(self,
input_ids: torch.LongTensor):
for ngram_size in range(self.max_matching_ngram_size, 0, -1):
# Create sliding windows of size ngram_size
windows = input_ids.unfold(dimension=1, size=ngram_size, step=1)
windows = input_ids.cpu().unfold(dimension=1, size=ngram_size, step=1)
for idx in range(windows.size(1)):
window = tensor2key(windows[0, idx])
if window not in self.lookup_table:
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