Fix Service lab runs (#1413)

Summary:
Pull Request resolved: #1413

D81327127 changed the names of the runs without registering them on target,  causing svc lab to breake [e.g.](https://www.internalfb.com/servicelab/experiments?q=%7B%22key%22%3A%22AND%22%2C%22children%22%3A[%7B%22key%22%3A%22SL_EXPERIMENTS_WORKLOAD_CONTAINS_TEXT%22%2C%22field%22%3A%22SL_EXPERIMENTS_WORKLOAD%22%2C%22value%22%3A%22benchmark_py_actor_mesh_benchmark%22%7D]%7D)
we add registration here.

Reviewed By: colin2328

Differential Revision: D83770161

fbshipit-source-id: 609676ef42091a7dfad72a8c6dbff1336ba468c5

Author: pablorfb-meta

python/benches/actor_mesh_benchmark.py

@@ -209,13 +209,7 @@ async def teardown(self) -> None:
         assert self.pong_mesh is not None
         await self.pong_mesh.stop()
 
-    def setup_env(self) -> None:
-        # ensure any changes are reflected
-        os.environ["HYPERACTOR_DEFAULT_ENCODING"] = "serde_bincode"
-        os.environ["HYPERACTOR_CHANNEL_MULTIPART"] = "0"
-
     async def setup(self) -> None:
-        self.setup_env()
         reload_config_from_env()
         pong_mesh = proc_mesh(hosts=self.host_count, gpus=self.gpu_count)
         await pong_mesh.logging_option(stream_to_client=True, aggregate_window_sec=None)
@@ -225,12 +219,6 @@ async def setup(self) -> None:
         self.message = bytes(self.message_size)
 
 
-class ActorLatencyMultipart(ActorLatency):
-    def setup_env(self) -> None:
-        os.environ["HYPERACTOR_DEFAULT_ENCODING"] = "serde_multipart"
-        os.environ["HYPERACTOR_CHANNEL_MULTIPART"] = "1"
-
-
 @dataclass
 class ActorThroughput(ActorLatency):
     request_batch_size: int = 10
@@ -253,22 +241,14 @@ async def run_once(self) -> None:
         self.bump_counter("messages", pong.size() * self.request_batch_size)
 
 
-class ActorThroughputMultipart(ActorThroughput):
-    def setup_env(self) -> None:
-        os.environ["HYPERACTOR_DEFAULT_ENCODING"] = "serde_multipart"
-        os.environ["HYPERACTOR_CHANNEL_MULTIPART"] = "1"
-
-
-message_sizes: list[int] = [10**n for n in range(1, 9)]
-host_counts = [1, 8, 16]
-gpu_counts = [1, 8]
+message_sizes: list[int] = [10**n for n in range(3, 9, 2)]
+host_counts = [1, 10]
+gpu_counts = [1, 10]
 host_counts = [1]
 gpu_counts = [1]
 runners = [
     ActorLatency,
-    ActorLatencyMultipart,
     ActorThroughput,
-    ActorThroughputMultipart,
 ]
 
 for hosts, gpus, message_size, Runner in itertools.product(