inception v3

examples/README.md

@@ -10,5 +10,5 @@ Only allow examples with reproducible and meaningful performancce.
 + [char-rnn for fun](char-rnn)
 + [DisturbLabel, because I don't believe the paper](DisturbLabel)
 + [DoReFa-Net, binary / low-bitwidth CNN on ImageNet](DoReFa-Net)
-+ [GoogleNet-InceptionV1 with 71% accuracy](Inception)
++ [GoogleNet-InceptionV1 with 71% accuracy and InceptionV3 with 73.5% accuracy](Inception)
 + [ResNet for Cifar10 with similar accuracy, and for SVHN with state-of-the-art accuracy](ResNet)

tensorpack/tfutils/sessinit.py

@@ -129,16 +129,16 @@ class SaverRestore(SessionInit):
                 chkpt_vars_used.add(name)
                 #vars_available.remove(name)
             else:
-                logger.warn("Param {} not found in checkpoint! Will not restore.".format(v.op.name))
+                logger.warn("Variable {} not found in checkpoint!".format(v.op.name))
         if len(chkpt_vars_used) < len(vars_available):
             unused = vars_available - chkpt_vars_used
             for name in unused:
-                logger.warn("Param {} in checkpoint doesn't appear in the graph!".format(name))
+                logger.warn("Variable {} in checkpoint doesn't exist in the graph!".format(name))
         return var_dict
 
 class ParamRestore(SessionInit):
     """
-    Restore trainable variables from a dictionary.
+    Restore variables from a dictionary.
     """
     def __init__(self, param_dict):
         """
@@ -157,11 +157,12 @@ class ParamRestore(SessionInit):
         logger.info("Params to restore: {}".format(
             ', '.join(map(str, intersect))))
         for k in variable_names - param_names:
-            logger.warn("Variable {} in the graph won't be restored!".format(k))
+            logger.warn("Variable {} in the graph not getting restored!".format(k))
         for k in param_names - variable_names:
-            logger.warn("Param {} not found in this graph!".format(k))
+            logger.warn("Variable {} in the dict not found in this graph!".format(k))
+
         upd = SessionUpdate(sess, [v for v in variables if v.name in intersect])
-        logger.info("Restoring from param dict ...")
+        logger.info("Restoring from dict ...")
         upd.update({name: value for name, value in six.iteritems(self.prms) if name in intersect})
 
 
@@ -190,6 +191,6 @@ def dump_session_params(path):
     for v in var:
         name = v.name.replace(":0", "")
         result[name] = v.eval()
-    logger.info("Params to save to {}:".format(path))
+    logger.info("Variables to save to {}:".format(path))
     logger.info(str(result.keys()))
     np.save(path, result)