Frozen training model - Reading dangerously large protocol message ?

[Prodromos Alampritis]

I am running a caffe model that predicts the age of the image that is parsed. The dataset is roughly half a Gb  downloaded from IMdB

i do python main.py and i get the following error message(?)

Reading dangerously large protocol message.  If the message turns out to be larger than 2147483647 bytes, parsing will be halted for security reasons.  To increase the limit (or to disable these warnings), see CodedInputStream::SetTotalBytesLimit() in google/protobuf/io/coded_stream.h.

I0215 18:17:32.629184  5994 net.cpp:200] pool1 does not need backward computation.
I0215 18:17:32.629186  5994 net.cpp:200] relu1_2 does not need backward computation.
I0215 18:17:32.629190  5994 net.cpp:200] conv1_2 does not need backward computation.
I0215 18:17:32.629194  5994 net.cpp:200] relu1_1 does not need backward computation.
I0215 18:17:32.629199  5994 net.cpp:200] conv1_1 does not need backward computation.
I0215 18:17:32.629201  5994 net.cpp:200] input does not need backward computation.
I0215 18:17:32.629205  5994 net.cpp:242] This network produces output prob
I0215 18:17:32.629223  5994 net.cpp:255] Network initialization done.
[libprotobuf WARNING google/protobuf/io/coded_stream.cc:537] Reading dangerously large protocol message.  If the message turns out to be larger than 2147483647 bytes, parsing will be halted for security reasons.  To increase the limit (or to disable these warnings), see CodedInputStream::SetTotalBytesLimit() in google/protobuf/io/coded_stream.h.
[libprotobuf WARNING google/protobuf/io/coded_stream.cc:78] The total number of bytes read was 538700290
I0215 18:17:39.713460  5994 net.cpp:744] Ignoring source layer data
I0215 18:17:39.811861  5994 net.cpp:744] Ignoring source layer loss

and it stays frozen right there.

any thoughts on why this is happening?