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[Misc] Improved prefix cache example (#9077)

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Andy Dai 2024-10-04 14:38:42 -07:00 committed by GitHub
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1 changed files with 3 additions and 9 deletions
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12
examples/offline_inference_with_prefix.py
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@ -1,7 +1,8 @@
from time import time
from vllm import LLM, SamplingParams from vllm import LLM, SamplingParams
# NOTE: This is just a running example. For benchmarking purpose,
# please see benchmarks/benchmark_prefix_caching.py
# Common prefix. # Common prefix.
prefix = ( prefix = (
"You are an expert school principal, skilled in effectively managing " "You are an expert school principal, skilled in effectively managing "
@ -37,9 +38,7 @@ print("Results without `enable_prefix_caching`")
# Generate texts from the prompts. The output is a list of RequestOutput objects # Generate texts from the prompts. The output is a list of RequestOutput objects
# that contain the prompt, generated text, and other information. # that contain the prompt, generated text, and other information.
start_time_regular = time()
outputs = regular_llm.generate(generating_prompts, sampling_params) outputs = regular_llm.generate(generating_prompts, sampling_params)
duration_regular = time() - start_time_regular
regular_generated_texts = [] regular_generated_texts = []
# Print the outputs. # Print the outputs.
@ -55,9 +54,7 @@ print("-" * 80)
prefix_cached_llm.generate(generating_prompts[0], sampling_params) prefix_cached_llm.generate(generating_prompts[0], sampling_params)
# Generate with prefix caching. # Generate with prefix caching.
start_time_cached = time()
outputs = prefix_cached_llm.generate(generating_prompts, sampling_params) outputs = prefix_cached_llm.generate(generating_prompts, sampling_params)
duration_cached = time() - start_time_cached
print("Results with `enable_prefix_caching`") print("Results with `enable_prefix_caching`")
@ -77,6 +74,3 @@ generated_same = all([
for i in range(len(prompts)) for i in range(len(prompts))
]) ])
print(f"Generated answers are the same: {generated_same}") print(f"Generated answers are the same: {generated_same}")
speedup = round(duration_regular / duration_cached, 2)
print(f"Speed up of cached generation compared to the regular is: {speedup}")