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I am using the latest release of pink v2.4 git revision f385715.
It seems that whatever value I pass to --num-iter is ignored. The progress bar will include it in its computation but not when it comes to iterating over data items.
Data file = TEST.bin
Result file = SOM_B2.bin
Number of data entries = 24853
Data dimension = 100 x 100
SOM dimension (width x height x depth) = 10x5x1
SOM size = 50
Number of iterations = 3
Neuron dimension = 142x142
Euclidean distance dimension = 70x70
Data type for euclidean distance calculation = uint8
Maximal number of progress information prints = 10
Intermediate storage of SOM = off
Layout = cartesian
Initialization type = file_init
SOM initialization file = SOM_B1.bin
Interpolation type = bilinear
Seed = 1234
Number of rotations = 360
Use mirrored image = 1
Number of CPU threads = 1
Use CUDA = 1
Distribution function for SOM update = gaussian
Sigma = 1
Damping factor = 0.05
Maximum distance for SOM update = -1
Use periodic boundary conditions = 0
Random shuffle data input = 0
CUDA Device Query...
There are 1 CUDA devices.
CUDA Device #0
Major revision number: 6
Minor revision number: 0
Name: Tesla P100-SXM2-16GB
Total global memory: 17071734784
Total shared memory per block: 49152
Total registers per block: 65536
Warp size: 32
Maximum memory pitch: 2147483647
Maximum threads per block: 1024
Maximum dimension 0 of block: 1024
Maximum dimension 1 of block: 1024
Maximum dimension 2 of block: 64
Maximum dimension 0 of grid: 2147483647
Maximum dimension 1 of grid: 65535
Maximum dimension 2 of grid: 65535
Clock rate: 1480500
Total constant memory: 65536
Texture alignment: 512
Concurrent copy and execution: Yes
Number of multiprocessors: 56
Kernel execution timeout: No
[=======> ] 10 % 13.222 s
[=============> ] 19 % 26.454 s
[====================> ] 29 % 39.68 s
Write final SOM to SOM_B2.bin ... done.
Total time (hh:mm:ss): 00:00:44.277
The text was updated successfully, but these errors were encountered:
Best I can tell from a quick read is that the DataIteratorShuffled does not accept the input_data.m_number_of_iterations attribute, where as the ProgressBar does. The main iterating for loop that handles iterating over the training data items
for (; iter_data_cur != iter_data_end; ++iter_data_cur, ++progress_bar)
will perform a single pass through the training image dataset. The same goes for the DataIterator. Perhaps we should edit the iterator classes to use the m_number_of_iterations appropriately and change the terminating condition in the above for loop to iter_data_cur.end_flag == true - seems like the data iteration classes already have the == operator overloaded.
Something else might be up with this. I was rereading the code for a separate issue and came across this line
for (uint32_t i = 0; i < input_data.m_number_of_iterations; ++i)
in which the iteration over the training data items is nested in. So, something else may be at play causing my weird issue? I am not 100% sure at the moment. This is withing the main_generic.h btw.
The other thing I noticed is that only the DataIteratorShuffled class is used when iterating throughout training.
I am using the latest release of
pink v2.4 git revision f385715
.It seems that whatever value I pass to
--num-iter
is ignored. The progress bar will include it in its computation but not when it comes to iterating over data items.The text was updated successfully, but these errors were encountered: