warn about #497

examples/ResNet/README.md

@@ -24,8 +24,9 @@ To train, just run:
 ```bash
 ./imagenet-resnet.py --data /path/to/original/ILSVRC --gpu 0,1,2,3 -d 50 [--mode resnet/preact/se]
 ```
-You should be able to see good GPU utilization (around 95%), if your data is fast enough.
-See the [tutorial](http://tensorpack.readthedocs.io/en/latest/tutorial/efficient-dataflow.html) on how to speed up your data.
+You should be able to see good GPU utilization (95%~99%), if your data is fast enough.
+The default data pipeline is probably OK for most systems.
+See the [tutorial](http://tensorpack.readthedocs.io/en/latest/tutorial/efficient-dataflow.html) on other options to speed up your data.
 
 ![imagenet](imagenet-resnet.png)
 

tensorpack/tfutils/sesscreate.py

@@ -5,6 +5,7 @@
 
 import tensorflow as tf
 from .common import get_default_sess_config
+from ..utils import logger
 
 __all__ = ['NewSessionCreator', 'ReuseSessionCreator', 'SessionCreatorAdapter']
 
@@ -33,6 +34,9 @@ class NewSessionCreator(tf.train.ChiefSessionCreator):
             config = get_default_sess_config()
         else:
             self.user_provided_config = True
+            logger.warn(
+                "Some options in custom session config may not work due to TF \
+bugs. See https://github.com/ppwwyyxx/tensorpack/issues/497 for workarounds.")
 
         self.config = config
         super(NewSessionCreator, self).__init__(master=target, config=config)