Log the tool usage details using PyTorchAdhocBenchmark Logger

Summary: To better understand how frequently people are using torchbench, log the run command to scuba and hive using the pytorch adhoc logger.

Reviewed By: FindHao

Differential Revision: D48395757

fbshipit-source-id: 18b77c286e6af2b193bb472cf324098821033c0d

run.py

@@ -31,7 +31,9 @@
 
 
 if not hasattr(torch.version, "git_version"):
-    from pytorch.benchmark.fb.run_utils import trace_handler
+    from pytorch.benchmark.fb.run_utils import trace_handler, usage_report_logger
+else:
+    usage_report_logger = lambda: None
 
 
 WARMUP_ROUNDS = 3
@@ -375,6 +377,9 @@ def _validate_profile_options(profile_options: str):
         print("cuda device required to use --cudastreams option!")
         exit(-1)
 
+    # Log the tool usage
+    usage_report_logger()
+
     found = False
     Model = None