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

Add HPU specific changes to benchmark_latency.py #436

Merged
merged 1 commit into from
Oct 28, 2024
Merged

Add HPU specific changes to benchmark_latency.py #436

Changes from all commits
Commits
Show all changes
1 commit
Select commit
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
3 changes: 2 additions & 1 deletion benchmarks/benchmark_latency.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -47,6 +47,7 @@ def main(args: argparse.Namespace):
distributed_executor_backend=args.distributed_executor_backend,
otlp_traces_endpoint=args.otlp_traces_endpoint,
enable_prefix_caching=args.enable_prefix_caching,
max_num_seqs=args.batch_size,
)

sampling_params = SamplingParams(
Expand Down Expand Up @@ -179,7 +180,7 @@ def run_to_completion(profile_dir: Optional[str] = None):
parser.add_argument(
'--kv-cache-dtype',
type=str,
choices=['auto', 'fp8', 'fp8_e5m2', 'fp8_e4m3'],
choices=['auto', 'fp8', 'fp8_e5m2', 'fp8_e4m3', 'fp8_inc'],
default="auto",
help='Data type for kv cache storage. If "auto", will use model '
'data type. CUDA 11.8+ supports fp8 (=fp8_e4m3) and fp8_e5m2. '
Expand Down
Loading