Normalize paths given by users (fix #1294)

tensorpack/callbacks/monitor.py

@@ -239,7 +239,7 @@ class TFEventWriter(MonitorBase):
         if logdir is None:
             logdir = logger.get_logger_dir()
         assert tf.gfile.IsDirectory(logdir), logdir
-        self._logdir = logdir
+        self._logdir = os.path.normpath(logdir)
         self._max_queue = max_queue
         self._flush_secs = flush_secs
         self._split_files = split_files

tensorpack/callbacks/saver.py

@@ -42,7 +42,7 @@ class ModelSaver(Callback):
         if checkpoint_dir is not None:
             if not tf.gfile.IsDirectory(checkpoint_dir):  # v2: tf.io.gfile.isdir
                 tf.gfile.MakeDirs(checkpoint_dir)  # v2: tf.io.gfile.makedirs
-        self.checkpoint_dir = checkpoint_dir
+        self.checkpoint_dir = os.path.normpath(checkpoint_dir)
 
     def _setup_graph(self):
         assert self.checkpoint_dir is not None, \
@@ -118,6 +118,7 @@ class MinSaver(Callback):
         self.checkpoint_dir = checkpoint_dir
         if self.checkpoint_dir is None:
             self.checkpoint_dir = logger.get_logger_dir()
+        self.checkpoint_dir = os.path.normpath(self.checkpoint_dir)
 
     def _get_stat(self):
         try:

tensorpack/utils/logger.py

@@ -109,6 +109,7 @@ def set_logger_dir(dirname, action=None):
                 old states for you. It simply does nothing.
 
     """
+    dirname = os.path.normpath(dirname)
     global LOG_DIR, _FILE_HANDLER
     if _FILE_HANDLER:
         # unload and close the old file handler, so that we may safely delete the logger directory