Example report for train_multi.py

report.txt

```
------------------------------------------------------------------------------------------------------------------------------------------------
 Index      Date & Time                       Tag                  Finish    Train    Total Batchs  Epchs  Exampls   Best result  Tests in file
------------------------------------------------------------------------------------------------------------------------------------------------

     0  2015 04 03 17:01:22            2015_04_03_17_01_22_157959  Big value detected
Apply node that caused the error: GpuElemwise{Sub}[(0, 0)](GpuElemwise{Add}[(0, 0)].0, GpuDimShuffle{0,x}.0)
Inputs types: [CudaNdarrayType(float32, matrix), CudaNdarrayType(float32, col)]
Inputs shapes: [(64, 13), (64, 1)]
Inputs strides: [(13, 1), (1, 0)]
Inputs values: ['not shown', 'not shown']

HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.    0 completed
     1  2015 04 03 17:01:54            2015_04_03_17_01_54_782575    True        8       10    140     10     8410    0.94876432    1 completed
     2  2015 04 03 17:04:02            2015_04_03_17_04_02_257109  Big value detected
Apply node that caused the error: GpuCAReduce{add}{1,0}(GpuReshape{2}.0)
Inputs types: [CudaNdarrayType(float32, matrix)]
Inputs shapes: [(800, 64)]
Inputs strides: [(64, 1)]
Inputs values: ['not shown']

HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.    0 completed
     3  2015 04 03 17:04:51            2015_04_03_17_04_51_670797    True        8       10    140     10     8410    0.94876432    1 completed
     4  2015 04 03 17:06:56            2015_04_03_17_06_56_827115    True        8       10    140     10     8410    0.94876432    1 completed
     5  2015 04 03 17:09:02            2015_04_03_17_09_02_102663    True        8        9    140     10     8410    0.94876432    1 completed
     6  2015 04 03 17:11:06            2015_04_03_17_11_06_649609    True        8        9    140     10     8410    0.94876432    1 completed
     7  2015 04 03 17:13:10            2015_04_03_17_13_10_555897    True        8       10    140     10     8410    0.94876432    1 completed
     8  2015 04 03 17:15:15            2015_04_03_17_15_15_090645    True        8        9    140     10     8410    0.94876432    1 completed
     9  2015 04 03 17:17:19            2015_04_03_17_17_19_704676    True        8        9    140     10     8410    0.94876432    1 completed
    10  2015 04 03 17:19:24            2015_04_03_17_19_24_095502    True        8        9    140     10     8410    0.94876432    1 completed
    11  2015 04 03 17:21:28            2015_04_03_17_21_28_457719    True        8        9    140     10     8410    0.94876432    1 completed
    12  2015 04 03 17:23:32            2015_04_03_17_23_32_918125    True        8        9    140     10     8410    0.94876432    1 completed
    13  2015 04 03 17:25:37            2015_04_03_17_25_37_386980    True        8       10    140     10     8410    0.94876432    1 completed
```