Implement the user calibration model option 3 under D2GO

Summary:
Dataloader:
Rewrote the data loader via build_stream_dataset_reader with the DATASET_DEFINITION of "peopleai_face_eng_inference_results".

User Calibration Model (initial version):

nn.Sequential(
    nn.Conv1d(72, 128, 1),
    nn.BatchNorm1d(128),
    nn.ReLU(),
    nn.Flatten(),
    nn.Linear(128, 72),
)

Differential Revision: D34202009

fbshipit-source-id: 55a2c579e463ed19eac38b5dd12e11c09cbccc11

d2go/setup.py

@@ -161,10 +161,11 @@ def prepare_for_launch(args):
         - returned output_dir will always be non empty, args.output_dir has higher
             priority than cfg.OUTPUT_DIR.
     """
-    print(args)
+    logger.info(args)
     runner = create_runner(args.runner)
 
     cfg = runner.get_default_cfg()
+
     if args.config_file:
         with PathManager.open(reroute_config_path(args.config_file), "r") as f:
             print("Loaded config file {}:\n{}".format(args.config_file, f.read()))