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[Misc] Adding Speculative decoding to Throughput Benchmarking script #5223

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[Misc] Adding Speculative decoding to Throughput Benchmarking script #5223

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adding spec decode to benchmark throughput
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@abhibambhaniya
abhibambhaniya committed Jun 3, 2024
commit 3906a128dbf3e45998d78d0b044b3bcb03a14c0f
16 changes: 13 additions & 3 deletions benchmarks/benchmark_throughput.py
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Original file line number Diff line number Diff line change
Expand Up @@ -62,6 +62,8 @@ def sample_requests(
def run_vllm(
requests: List[Tuple[str, int, int]],
model: str,
speculative_model: str,
num_speculative_tokens: int,
tokenizer: str,
quantization: Optional[str],
tensor_parallel_size: int,
Expand All @@ -78,12 +80,15 @@ def run_vllm(
enable_prefix_caching: bool,
enable_chunked_prefill: bool,
max_num_batched_tokens: int,
use_v2_block_manager: bool,
gpu_memory_utilization: float = 0.9,
download_dir: Optional[str] = None,
) -> float:
from vllm import LLM, SamplingParams
llm = LLM(
model=model,
speculative_model=speculative_model,
num_speculative_tokens=num_speculative_tokens,
tokenizer=tokenizer,
quantization=quantization,
tensor_parallel_size=tensor_parallel_size,
Expand All @@ -99,6 +104,7 @@ def run_vllm(
enable_prefix_caching=enable_prefix_caching,
download_dir=download_dir,
enable_chunked_prefill=enable_chunked_prefill,
use_v2_block_manager=use_v2_block_manager,
max_num_batched_tokens=max_num_batched_tokens,
)

Expand Down Expand Up @@ -219,14 +225,15 @@ def main(args: argparse.Namespace):

if args.backend == "vllm":
elapsed_time = run_vllm(
requests, args.model, args.tokenizer, args.quantization,
requests, args.model, args.speculative_model,
args.num_speculative_tokens, args.tokenizer, args.quantization,
args.tensor_parallel_size, args.seed, args.n, args.use_beam_search,
args.trust_remote_code, args.dtype, args.max_model_len,
args.enforce_eager, args.kv_cache_dtype,
args.quantization_param_path, args.device,
args.enable_prefix_caching, args.enable_chunked_prefill,
args.max_num_batched_tokens, args.gpu_memory_utilization,
args.download_dir)
args.max_num_batched_tokens, args.use_v2_block_manager,
args.gpu_memory_utilization, args.download_dir)
elif args.backend == "hf":
assert args.tensor_parallel_size == 1
elapsed_time = run_hf(requests, args.model, tokenizer, args.n,
Expand Down Expand Up @@ -275,6 +282,8 @@ def main(args: argparse.Namespace):
help="Output length for each request. Overrides the "
"output length from the dataset.")
parser.add_argument("--model", type=str, default="facebook/opt-125m")
parser.add_argument('--speculative-model', type=str, default=None)
parser.add_argument('--num-speculative-tokens', type=int, default=None)
parser.add_argument("--tokenizer", type=str, default=None)
parser.add_argument('--quantization',
'-q',
Expand All @@ -291,6 +300,7 @@ def main(args: argparse.Namespace):
default=1000,
help="Number of prompts to process.")
parser.add_argument("--seed", type=int, default=0)
parser.add_argument('--use-v2-block-manager', action='store_true')
parser.add_argument("--hf-max-batch-size",
type=int,
default=None,
Expand Down
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