+ Processing of Validation dataset is not finalized yet. Decision on input token lengths is pending

+ Streamer for communicating with loadgen has quite some overhead. This is only meant to provide functional implementation

settings = lg.TestSettings()

settings.scenario = scenario_map[args.scenario.lower()]

# Need to update the conf

if args.accuracy:

settings.mode = lg.TestMode.AccuracyOnly

gptj.Server.target_latency = 20000

# Falcon Server scenario requires two latency constraints

*.Offline.target_latency_percentile = 90

*.Offline.min_duration = 600000

project(mlperf_loadgen)

message("mlperf_loadgen v${mlperf_loadgen_VERSION_MAJOR}.${mlperf_loadgen_VERSION_MINOR}")

mlperf_loadgen_module = Pybind11Extension(

"mlperf_loadgen",

include_dirs=[".", get_include()],

sources=mlperf_loadgen_sources,

depends=mlperf_loadgen_headers)

setup(name="mlperf_loadgen",

description="MLPerf Inference LoadGen python bindings",

url="https://mlcommons.org/",

cmdclass={"build_ext": build_ext},

ofile.write("// DO NOT EDIT: Autogenerated by version_generator.py.\n\n")

ofile.write("#include <string>\n\n")

ofile.write("namespace mlperf {\n\n")

date_time_now_local = datetime.datetime.now().isoformat()

date_time_now_utc = datetime.datetime.utcnow().isoformat()

3d-unet.*.performance_sample_count_override = 0

# Set seeds. The seeds will be distributed two weeks before the submission.

# Set seeds for TEST_05. The seeds will be distributed two weeks before the submission.

*.SingleStream.target_latency_percentile = 90

parser.add_argument(

"--n", type=int, default=10, help="Dataset download location"

)

args = parser.parse_args()

return args

if __name__ == "__main__":

args = get_args()

df_annotations = pd.read_csv(f"{args.tsv_path}", sep="\t")

sample_ids = list(np.random.choice(df_annotations.shape[0], args.n))

with open(args.output_path, "w+") as f: