delete gaudi_spawn.py

gaudi_spawn.py

@@ -1,65 +0,0 @@
-import sys
-from argparse import REMAINDER, ArgumentParser
-
-from optimum.habana.distributed import DistributedRunner
-
-
-def parse_args():
-    """
-    Helper function parsing the command line options.
-    @retval ArgumentParser
-    """
-    parser = ArgumentParser(
-        description=(
-            "Habana Gaudi distributed inference launch helper utility that will spawn up multiple distributed"
-            " processes."
-        )
-    )
-
-    # Optional arguments for the launch helper
-    parser.add_argument("--world_size", type=int, default=1, help="Number of HPUs to use (1, 4 or 8)")
-    parser.add_argument("--hostfile", type=str, default=None, help="Path to the file where hosts are specified.")
-    parser.add_argument("--use_mpi", action="store_true", help="Use MPI for distributed inference")
-    parser.add_argument("--use_deepspeed", action="store_true", help="Use DeepSpeed for distributed inference")
-
-    # positional
-    parser.add_argument(
-        "inference_script",
-        type=str,
-        help=(
-            "The full path to the single HPU inference "
-            "program/script to be launched in parallel, "
-            "followed by all the arguments for the "
-            "inference script."
-        ),
-    )
-
-    # rest from the training program
-    parser.add_argument("inference_script_args", nargs=REMAINDER)
-
-    return parser.parse_args()
-
-
-def main():
-    args = parse_args()
-
-    # Patch sys.argv
-    sys.argv = [args.inference_script] + args.inference_script_args
-    # Handle the case where arguments contain whitespaces
-    argv = ['"{}"'.format(arg) if " " in arg and arg[0] != '"' and arg[-1] != '"' else arg for arg in sys.argv]
-    command_list = [" ".join(argv)]
-
-    distributed_runner = DistributedRunner(
-        command_list=command_list,
-        world_size=args.world_size,
-        hostfile=args.hostfile,
-        use_mpi=False,
-        use_deepspeed=args.use_deepspeed,
-    )
-
-    ret_code = distributed_runner.run()
-    sys.exit(ret_code)
-
-
-if __name__ == "__main__":
-    main()