Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Enable Random Prefix Caching in Serving Profiling Tool (benchmark_serving.py) #8241

Merged
merged 2 commits into from
Sep 7, 2024
Merged

Enable Random Prefix Caching in Serving Profiling Tool (benchmark_serving.py) #8241

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
9cd1cd8
enable prefix caching rand profiling
wschin Sep 6, 2024
965d66b
format
wschin Sep 6, 2024
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
27 changes: 23 additions & 4 deletions benchmarks/benchmark_serving.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -195,8 +195,16 @@ def sample_sonnet_requests(


def sample_random_requests(
input_len: int, output_len: int, num_prompts: int, range_ratio: float,
tokenizer: PreTrainedTokenizerBase) -> List[Tuple[str, int, int]]:
prefix_len: int,
input_len: int,
output_len: int,
num_prompts: int,
range_ratio: float,
tokenizer: PreTrainedTokenizerBase,
) -> List[Tuple[str, int, int]]:
prefix_token_ids = np.random.randint(0,
tokenizer.vocab_size,
size=prefix_len).tolist()

input_lens = np.random.randint(
int(input_len * range_ratio),
Expand All @@ -211,10 +219,12 @@ def sample_random_requests(
offsets = np.random.randint(0, tokenizer.vocab_size, size=num_prompts)
input_requests = []
for i in range(num_prompts):
prompt = tokenizer.decode([(offsets[i] + i + j) % tokenizer.vocab_size
prompt = tokenizer.decode(prefix_token_ids +
[(offsets[i] + i + j) % tokenizer.vocab_size
for j in range(input_lens[i])])

input_requests.append(
(prompt, int(input_lens[i]), int(output_lens[i])))
(prompt, int(prefix_len + input_lens[i]), int(output_lens[i])))

return input_requests

Expand Down Expand Up @@ -567,6 +577,7 @@ def main(args: argparse.Namespace):

elif args.dataset_name == "random":
input_requests = sample_random_requests(
prefix_len=args.random_prefix_len,
input_len=args.random_input_len,
output_len=args.random_output_len,
num_prompts=args.num_prompts,
Expand Down Expand Up @@ -765,6 +776,14 @@ def main(args: argparse.Namespace):
help="Range of sampled ratio of input/output length, "
"used only for random sampling.",
)
parser.add_argument(
"--random-prefix-len",
type=int,
default=0,
help="Number of fixed prefix tokens before random "
" context. The length range of context in a random "
" request is [random-prefix-len, "
" random-prefix-len + random-prefix-len * random-range-ratio).")
parser.add_argument(
"--request-rate",
type=float,
Expand Down
Loading