fix bugs of cuda

test.py

@@ -2,53 +2,46 @@
 # Licensed under the MIT License.
 
 import os
-import cv2
 import sys
-import yaml
-import torch
-import open3d
 import argparse
-import pprint
-from utils.misc import set_logger
-from configs.base_config import cfg, cfg_from_file, cfg_update
 
 
 def get_args_from_command_line():
     """
     config the parameter
     """
-    parser = argparse.ArgumentParser(
+    parser = argparse.ArgumentParser(description="The argument parser of R2Net runner")
-        description="The argument parser of R2Net runner")
 
     # choose model
-    parser.add_argument("--model", type=str, default="sparenet",
+    parser.add_argument("--model", type=str, default="sparenet", help="sparenet, atlasnet, msn, grnet")
-                        help="sparenet, atlasnet, msn, grnet")
 
     # choose test mode
-    parser.add_argument("--test_mode", default="default",
+    parser.add_argument("--test_mode", default="default", help="default vis render kitti", type=str)
-                        help="default vis render kitti", type=str)
 
     # choose load model
-    parser.add_argument("--weights", dest="weights",
+    parser.add_argument("--weights", dest="weights", help="Initialize network from the weights file", default=None)
-                        help="Initialize network from the weights file", default=None)
 
     # setup gpu
-    parser.add_argument("--gpu", dest="gpu_id",
+    parser.add_argument("--gpu", dest="gpu_id", help="GPU device to use", default="0", type=str)
-                        help="GPU device to use", default="0", type=str)
 
     # setup workdir
-    parser.add_argument("--workdir", dest="workdir",
+    parser.add_argument("--workdir", dest="workdir", help="where to save files", default="./output", type=str)
-                        help="where to save files", default="./output", type=str)
 
     # choose train mode
-    parser.add_argument("--gan", dest="gan", help="use gan",
+    parser.add_argument("--gan", dest="gan", help="use gan", action="store_true", default=False)
-                        action="store_true", default=False)
     return parser.parse_args()
 
 
 def main():
-    # update config
     args = get_args_from_command_line()
+
+    # Set GPU to use
+    os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID"
+    os.environ["CUDA_VISIBLE_DEVICES"] = args.gpu_id
+
+    # update config
+    from configs.base_config import cfg, cfg_from_file, cfg_update
+
     if args.gan:
         cfg_from_file("configs/" + args.model + "_gan.yaml")
     else:
@@ -60,13 +53,11 @@ def main():
     # Set up folders for logs and checkpoints
     if not os.path.exists(cfg.DIR.logs):
         os.makedirs(cfg.DIR.logs)
+    from utils.misc import set_logger
+
     logger = set_logger(os.path.join(cfg.DIR.logs, "log.txt"))
     logger.info("save into dir: %s" % cfg.DIR.logs)
 
-    # Set GPU to use
-    os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID"
-    os.environ["CUDA_VISIBLE_DEVICES"] = cfg.CONST.device
-
     if "weights" not in cfg.CONST or not os.path.exists(cfg.CONST.weights):
         logger.error("Please specify the file path of checkpoint.")
         sys.exit(2)

train.py

@@ -2,49 +2,42 @@
 # Licensed under the MIT License.
 
 import os
-import cv2
-import sys
-import yaml
-import torch
-import open3d
 import argparse
-import pprint
-from utils.misc import set_logger
-from configs.base_config import cfg, cfg_from_file, cfg_update
 
 
 def get_args_from_command_line():
     """
     config the parameter
     """
-    parser = argparse.ArgumentParser(
+    parser = argparse.ArgumentParser(description="The argument parser of R2Net runner")
-        description="The argument parser of R2Net runner")
 
     # choose model
-    parser.add_argument("--model", type=str, default="sparenet",
+    parser.add_argument("--model", type=str, default="sparenet", help="sparenet, atlasnet, msn, grnet")
-                        help="sparenet, atlasnet, msn, grnet")
 
     # choose train mode
-    parser.add_argument("--gan", dest="gan", help="use gan",
+    parser.add_argument("--gan", dest="gan", help="use gan", action="store_true", default=False)
-                        action="store_true", default=False)
 
     # choose load model
-    parser.add_argument("--weights", dest="weights",
+    parser.add_argument("--weights", dest="weights", help="Initialize network from the weights file", default=None)
-                        help="Initialize network from the weights file", default=None)
 
     # setup gpu
-    parser.add_argument("--gpu", dest="gpu_id",
+    parser.add_argument("--gpu", dest="gpu_id", help="GPU device to use", default="0", type=str)
-                        help="GPU device to use", default="0", type=str)
 
     # setup workdir
-    parser.add_argument("--workdir", dest="workdir",
+    parser.add_argument("--workdir", dest="workdir", help="where to save files", default=None)
-                        help="where to save files", default=None)
     return parser.parse_args()
 
 
 def main():
-    # update config
     args = get_args_from_command_line()
+
+    # Set GPU to use
+    os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID"
+    os.environ["CUDA_VISIBLE_DEVICES"] = args.gpu_id
+
+    # update config
+    from configs.base_config import cfg, cfg_from_file, cfg_update
+
     if args.gan:
         cfg_from_file("configs/" + args.model + "_gan.yaml")
     else:
@@ -54,13 +47,11 @@ def main():
     # Set up folders for logs and checkpoints
     if not os.path.exists(cfg.DIR.logs):
         os.makedirs(cfg.DIR.logs)
+    from utils.misc import set_logger
+
     logger = set_logger(os.path.join(cfg.DIR.logs, "log.txt"))
     logger.info("save into dir: %s" % cfg.DIR.logs)
 
-    # Set GPU to use
-    os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID"
-    os.environ["CUDA_VISIBLE_DEVICES"] = cfg.CONST.device
-
     # Start train/inference process
     if args.gan:
         runners = __import__("runners." + args.model + "_gan_runner")

utils/misc.py

@@ -32,7 +32,8 @@ def gpu_init(cfg):
         os.makedirs(cfg.DIR.checkpoints)
     # GPU setup
     torch.backends.cudnn.benchmark = True
-    return [int(x) for x in cfg.CONST.device.split(",")]
+    gup_ids = [int(x) for x in cfg.CONST.device.split(",")]
+    return list(range(len(gup_ids)))
 
 
 def writer_init(cfg):