Fix typo; make ParamSetter non-chief-only

docs/tutorial/efficient-dataflow.md

@@ -140,7 +140,7 @@ We can also dump the dataset into one single LMDB file and read it sequentially.
 
 ```python
 from tensorpack.dataflow import *
-class BinaryILSVRC12(dataset.ILSVRCFiles):
+class BinaryILSVRC12(dataset.ILSVRC12Files):
     def get_data(self):
         for fname, label in super(BinaryILSVRC12, self).get_data():
             with open(fname, 'rb') as f:

tensorpack/callbacks/param.py

@@ -112,6 +112,8 @@ class HyperParamSetter(Callback):
     An abstract base callback to set hyperparameters.
     """
 
+    _chief_only = False
+
     def __init__(self, param):
         """
         Args:

tensorpack/utils/utils.py

@@ -127,7 +127,7 @@ def get_tqdm_kwargs(**kwargs):
 
     f = kwargs.get('file', sys.stderr)
     isatty = f.isatty()
-    # TODO when run under mpirun, isatty is always False
+    # NOTE when run under mpirun/slurm, isatty is always False
     # Jupyter notebook should be recognized as tty.
     # Wait for https://github.com/ipython/ipykernel/issues/268
     try:
@@ -141,7 +141,7 @@ def get_tqdm_kwargs(**kwargs):
         default['mininterval'] = 0.5
     else:
         # If not a tty, don't refresh progress bar that often
-        default['mininterval'] = 300
+        default['mininterval'] = 180
     default.update(kwargs)
     return default