Submission checker version 4.0 (#1560)

* Submission checker version 4.0

* Fix Llama2-70b name

* Add 4.0 random seeds

language/llama2-70b/README.md

@@ -1,6 +1,6 @@
-# Reference Implementation for Llama-v2-70B
+# Reference Implementation for llama2-70b
 
-**Basic implementation for Llama-v2-70B. Few noteworthy items:**
+**Basic implementation for llama2-70b. Few noteworthy items:**
 
 + 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

language/llama2-70b/main.py

@@ -47,8 +47,8 @@ def main():
     settings = lg.TestSettings()
     settings.scenario = scenario_map[args.scenario.lower()]
     # Need to update the conf
-    settings.FromConfig(args.mlperf_conf, "llama-v2-70b", args.scenario)
-    settings.FromConfig(args.user_conf, "llama-v2-70b", args.scenario)
+    settings.FromConfig(args.mlperf_conf, "llama2-70b", args.scenario)
+    settings.FromConfig(args.user_conf, "llama2-70b", args.scenario)
 
     if args.accuracy:
         settings.mode = lg.TestMode.AccuracyOnly

language/llama2-70b/mlperf.conf

@@ -56,9 +56,9 @@ rnnt.Server.target_latency = 1000
 gptj.Server.target_latency = 20000
 
 # Falcon Server scenario requires two latency constraints
-llama-v2-70b.Server.target_latency = 2000
-llama-v2-70b.Server.ttft_latency = 2000
-llama-v2-70b.Server.tpot_latency = 200
+llama2-70b.Server.target_latency = 2000
+llama2-70b.Server.ttft_latency = 2000
+llama2-70b.Server.tpot_latency = 200
 
 *.Offline.target_latency_percentile = 90
 *.Offline.min_duration = 600000

loadgen/CMakeLists.txt

@@ -3,8 +3,8 @@ cmake_minimum_required(VERSION 3.1)
 project(mlperf_loadgen)
 
 # The mlperf_loadgen version.
-set(mlperf_loadgen_VERSION_MAJOR 3)
-set(mlperf_loadgen_VERSION_MINOR 1)
+set(mlperf_loadgen_VERSION_MAJOR 4)
+set(mlperf_loadgen_VERSION_MINOR 0)
 message("mlperf_loadgen v${mlperf_loadgen_VERSION_MAJOR}.${mlperf_loadgen_VERSION_MINOR}")
 
 # Set build options. NB: CXX_STANDARD is supported since CMake 3.1.

loadgen/setup.py

@@ -76,13 +76,13 @@
 
 mlperf_loadgen_module = Pybind11Extension(
         "mlperf_loadgen",
-        define_macros=[("MAJOR_VERSION", "3"), ("MINOR_VERSION", "1")],
+        define_macros=[("MAJOR_VERSION", "4"), ("MINOR_VERSION", "0")],
         include_dirs=[".", get_include()],
         sources=mlperf_loadgen_sources,
         depends=mlperf_loadgen_headers)
 
 setup(name="mlperf_loadgen",
-      version="3.1",
+      version="4.0",
       description="MLPerf Inference LoadGen python bindings",
       url="https://mlcommons.org/",
       cmdclass={"build_ext": build_ext},

loadgen/version_generator.py

@@ -94,7 +94,7 @@ def generate_loadgen_version_definitions(cc_filename, loadgen_root):
     ofile.write("// DO NOT EDIT: Autogenerated by version_generator.py.\n\n")
     ofile.write("#include <string>\n\n")
     ofile.write("namespace mlperf {\n\n")
-    ofile.write(func_def("Version", "\"3.1\""))
+    ofile.write(func_def("Version", "\"4.0\""))
 
     date_time_now_local = datetime.datetime.now().isoformat()
     date_time_now_utc = datetime.datetime.utcnow().isoformat()

mlperf.conf

@@ -17,13 +17,13 @@ stable-diffusion-xl.*.performance_sample_count_override = 5000
 3d-unet.*.performance_sample_count_override = 0
 
 # Set seeds. The seeds will be distributed two weeks before the submission.
-*.*.qsl_rng_seed = 148687905518835231
-*.*.sample_index_rng_seed = 520418551913322573
-*.*.schedule_rng_seed = 811580660758947900
+*.*.qsl_rng_seed = 13281865557512327830
+*.*.sample_index_rng_seed = 198141574272810017
+*.*.schedule_rng_seed = 7575108116881280410
 # Set seeds for TEST_05. The seeds will be distributed two weeks before the submission.
-*.*.test05_qsl_rng_seed = 793197339507417767
-*.*.test05_sample_index_rng_seed = 255610748586851044
-*.*.test05_schedule_rng_seed = 352213341366340113
+*.*.test05_qsl_rng_seed = 2376919268182438552
+*.*.test05_sample_index_rng_seed = 11176391829184272374
+*.*.test05_schedule_rng_seed = 3911940905271271337
 
 
 *.SingleStream.target_latency_percentile = 90

text_to_image/tools/sample_ids.py

@@ -15,13 +15,16 @@ def get_args():
     parser.add_argument(
         "--n", type=int, default=10, help="Dataset download location"
     )
+    parser.add_argument(
+        "--seed", "-s", type=int, default=926019364, help="Dataset download location"
+    )
     args = parser.parse_args()
     return args
 
 
 if __name__ == "__main__":
     args = get_args()
-    np.random.seed(42)
+    np.random.seed(args.seed)
     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:

text_to_image/tools/sample_ids.txt

@@ -1,10 +1,10 @@
-860
-3772
-3092
-466
-4426
-3444
-3171
-2919
-130
-1685
+4459
+4015
+2705
+1682
+4048
+4683
+3757
+1578
+3319
+95