batch_norm is_training parameter

[autasi]

Shouldn't the 'is_training' parameter be passed to batch_norm normalizer via 'normalizer_params' of conv2d? The same applies to the other functions in this file.

PeleeNet/layers.py

Line 19 in 60d1791

normalizer_fn=slim.batch_norm,

[chyueG]

I think the writer forget this parameter,also ,in layer.py file line 79,function def _classification_layer,the writer forgot to change the dropout value when test