84 lines
2.5 KiB
Python
84 lines
2.5 KiB
Python
# Copyright 2023-2024 SGLang Team
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
# ==============================================================================
|
|
|
|
import multiprocessing as mp
|
|
import random
|
|
import unittest
|
|
|
|
import torch
|
|
from utils import CI_MULTI_LORA_MODELS, DEFAULT_PROMPTS, run_lora_test_one_by_one
|
|
|
|
from sglang.test.runners import HFRunner, SRTRunner
|
|
from sglang.test.test_utils import CustomTestCase
|
|
|
|
PROMPTS = [
|
|
"AI is a field of computer science focused on",
|
|
"""
|
|
### Instruction:
|
|
Tell me about llamas and alpacas
|
|
### Response:
|
|
Llamas are large, long-necked animals with a woolly coat. They have two toes on each foot instead of three like other camelids.
|
|
### Question:
|
|
What do you know about llamas?
|
|
### Answer:
|
|
""",
|
|
]
|
|
|
|
|
|
class TestLoRARadixCache(CustomTestCase):
|
|
|
|
def test_lora_radix_cache(self):
|
|
# Here we need a model case with multiple adaptors for testing correctness of radix cache
|
|
model_case = CI_MULTI_LORA_MODELS[0]
|
|
|
|
torch_dtype = torch.float16
|
|
max_new_tokens = 32
|
|
backend = "triton"
|
|
batch_prompts = (
|
|
PROMPTS
|
|
if not model_case.skip_long_prompt
|
|
else [p for p in PROMPTS if len(p) < 1000]
|
|
)
|
|
|
|
# Test lora with radix cache
|
|
run_lora_test_one_by_one(
|
|
batch_prompts,
|
|
model_case,
|
|
torch_dtype,
|
|
max_new_tokens=max_new_tokens,
|
|
backend=backend,
|
|
disable_radix_cache=False,
|
|
test_tag="lora-with-radix-cache",
|
|
)
|
|
|
|
# Test lora without radix cache
|
|
run_lora_test_one_by_one(
|
|
batch_prompts,
|
|
model_case,
|
|
torch_dtype,
|
|
max_new_tokens=max_new_tokens,
|
|
backend=backend,
|
|
disable_radix_cache=True,
|
|
test_tag="lora-without-radix-cache",
|
|
)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
try:
|
|
mp.set_start_method("spawn")
|
|
except RuntimeError:
|
|
pass
|
|
|
|
unittest.main(warnings="ignore")
|