[Core][Hash][Automatic Prefix caching] Accelerating the hashing function by avoiding deep copies (#4696)
This commit is contained in:
63
benchmarks/overheads/benchmark_hashing.py
Normal file
63
benchmarks/overheads/benchmark_hashing.py
Normal file
@@ -0,0 +1,63 @@
|
||||
import argparse
|
||||
import cProfile
|
||||
import pstats
|
||||
|
||||
from vllm import LLM, SamplingParams
|
||||
|
||||
# A very long prompt, total number of tokens is about 15k.
|
||||
LONG_PROMPT = ["You are an expert in large language models, aren't you?"
|
||||
] * 1000
|
||||
LONG_PROMPT = ' '.join(LONG_PROMPT)
|
||||
|
||||
|
||||
def main(args):
|
||||
llm = LLM(
|
||||
model=args.model,
|
||||
enforce_eager=True,
|
||||
enable_prefix_caching=True,
|
||||
tensor_parallel_size=args.tensor_parallel_size,
|
||||
use_v2_block_manager=args.use_v2_block_manager,
|
||||
)
|
||||
|
||||
sampling_params = SamplingParams(temperature=0, max_tokens=args.output_len)
|
||||
profiler = cProfile.Profile()
|
||||
|
||||
print("------warm up------")
|
||||
for i in range(3):
|
||||
output = llm.generate(LONG_PROMPT, sampling_params)
|
||||
print(output[0].outputs[0].text)
|
||||
|
||||
print("------start generating------")
|
||||
for i in range(3):
|
||||
profiler.runctx('llm.generate(LONG_PROMPT, sampling_params)',
|
||||
globals(), locals())
|
||||
|
||||
# analyze the runtime of hashing function
|
||||
stats = pstats.Stats(profiler)
|
||||
stats.sort_stats('cumulative')
|
||||
total_time = 0
|
||||
total_calls = 0
|
||||
for func in stats.stats:
|
||||
if 'hash_of_block' in func[2]:
|
||||
total_time = stats.stats[func][3]
|
||||
total_calls = stats.stats[func][0]
|
||||
percentage = (total_time / stats.total_tt) * 100
|
||||
print(f"Hashing took {total_time:.2f} seconds,"
|
||||
f"{percentage:.2f}% of the total runtime.")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
parser = argparse.ArgumentParser(
|
||||
description='Benchmark the performance of hashing function in'
|
||||
'automatic prefix caching.')
|
||||
parser.add_argument('--model', type=str, default='lmsys/longchat-7b-16k')
|
||||
parser.add_argument('--tensor-parallel-size', '-tp', type=int, default=1)
|
||||
parser.add_argument('--output-len', type=int, default=10)
|
||||
parser.add_argument('--enable-prefix-caching',
|
||||
action='store_true',
|
||||
help='enable prefix caching')
|
||||
parser.add_argument('--use-v2-block-manager',
|
||||
action='store_true',
|
||||
help='Use BlockSpaceMangerV2')
|
||||
args = parser.parse_args()
|
||||
main(args)
|
||||
Reference in New Issue
Block a user