I0421 07:54:00.696784  2625 solver.cpp:238]     Train net output #0: loss = 8.09178 (* 1 = 8.09178 loss)
I0421 07:54:00.696856  2625 sgd_solver.cpp:105] Iteration 2, lr = 0.01
I0421 07:54:10.289046  2625 solver.cpp:219] Iteration 3 (0.104254 iter/s, 9.592s/1 iters), loss = 13.781
I0421 07:54:10.289216  2625 solver.cpp:238]     Train net output #0: loss = 13.781 (* 1 = 13.781 loss)
I0421 07:54:10.289288  2625 sgd_solver.cpp:105] Iteration 3, lr = 0.01
I0421 07:54:19.780578  2625 solver.cpp:219] Iteration 4 (0.105363 iter/s, 9.491s/1 iters), loss = 29.6373
I0421 07:54:19.860973  2625 solver.cpp:238]     Train net output #0: loss = 29.6373 (* 1 = 29.6373 loss)
I0421 07:54:19.861093  2625 sgd_solver.cpp:105] Iteration 4, lr = 0.01
I0421 07:54:20.200791  2625 solver.cpp:448] Snapshotting to binary proto file /home/reza/Workshop/Develop/caffe/models/corel/caffenet_train_iter_5.caffemodel
I0421 07:54:33.917172  2625 sgd_solver.cpp:273] Snapshotting solver state to binary proto file /home/reza/Workshop/Develop/caffe/models/corel/caffenet_train_iter_5.solverstate
I0421 07:54:56.153332  2625 solver.cpp:219] Iteration 5 (0.0275543 iter/s, 36.292s/1 iters), loss = 24.0035
I0421 07:54:56.207717  2625 solver.cpp:238]     Train net output #0: loss = 24.0035 (* 1 = 24.0035 loss)
I0421 07:54:56.207804  2625 sgd_solver.cpp:105] Iteration 5, lr = 0.01
I0421 07:55:05.915024  2625 solver.cpp:219] Iteration 6 (0.103018 iter/s, 9.707s/1 iters), loss = 23.6413
I0421 07:55:05.915206  2625 solver.cpp:238]     Train net output #0: loss = 23.6413 (* 1 = 23.6413 loss)
I0421 07:55:05.915283  2625 sgd_solver.cpp:105] Iteration 6, lr = 0.01
I0421 07:55:23.117864  2625 solver.cpp:219] Iteration 7 (0.0581328 iter/s, 17.202s/1 iters), loss = 11.7236
I0421 07:55:23.118010  2625 solver.cpp:238]     Train net output #0: loss = 11.7236 (* 1 = 11.7236 loss)
I0421 07:55:23.118083  2625 sgd_solver.cpp:105] Iteration 7, lr = 0.01
I0421 07:55:23.479558  2632 data_layer.cpp:73] Restarting data prefetching from start.
I0421 07:55:32.679772  2625 solver.cpp:219] Iteration 8 (0.104592 iter/s, 9.561s/1 iters), loss = 2.96496
I0421 07:55:32.679980  2625 solver.cpp:238]     Train net output #0: loss = 2.96496 (* 1 = 2.96496 loss)
I0421 07:55:32.680052  2625 sgd_solver.cpp:105] Iteration 8, lr = 0.01
I0421 07:55:42.165114  2625 solver.cpp:219] Iteration 9 (0.10543 iter/s, 9.485s/1 iters), loss = 2.44088
I0421 07:55:42.165307  2625 solver.cpp:238]     Train net output #0: loss = 2.44088 (* 1 = 2.44088 loss)
I0421 07:55:42.165428  2625 sgd_solver.cpp:105] Iteration 9, lr = 0.01
I0421 07:55:42.375649  2625 solver.cpp:448] Snapshotting to binary proto file /home/reza/Workshop/Develop/caffe/models/corel/caffenet_train_iter_10.caffemodel
caffe: malloc.c:3700: _int_malloc: Assertion `victim->fd_nextsize->bk_nextsize == victim' failed.
*** Aborted at 1492786542 (unix time) try "date -d @1492786542" if you are using GNU date ***
PC: @     0x7f333d36cf79 (unknown)
*** SIGABRT (@0x3e800000a41) received by PID 2625 (TID 0x7f333ec9e780) from PID 2625; stack trace: ***
    @     0x7f333d36cff0 (unknown)
    @     0x7f333d36cf79 (unknown)
    @     0x7f333d370388 (unknown)
    @     0x7f333d3b463d (unknown)
    @     0x7f333d3b7f2a (unknown)
    @     0x7f333d3b95f0 (unknown)
    @     0x7f333d970dad (unknown)
    @     0x7f333e6c956f caffe::Layer<>::ToProto()
    @     0x7f333e80286f caffe::Net<>::ToProto()
    @     0x7f333e7c5bd1 caffe::Solver<>::SnapshotToBinaryProto()
    @     0x7f333e7c5c9e caffe::Solver<>::Snapshot()
    @     0x7f333e7c8cb6 caffe::Solver<>::Step()
    @     0x7f333e7c938a caffe::Solver<>::Solve()
    @           0x407c2c train()
    @           0x40569c main
    @     0x7f333d357ec5 (unknown)
    @           0x405f0b (unknown)
    @                0x0 (unknown)
^A