stuckedm but GPU still running about deepcl HOT 5 CLOSED

Yeah, that's a 32 million example dataset. On half a K520, it takes about 2-3 days per epoch. You could use numtrain=1000000 to convince yourself its working on a smaller dataset first.

from deepcl.

also, be sure to add loadondemand=1, so that it doesnt try to load entire dataset into memory at once.

from deepcl.

while I am runing

ubgpu@ubgpu:~/github/DeepCL_Kgsgo/DeepCL/build$ ./deepclrun dataset=kgsgoall netdef=12*(32c5z-relu)-500n-tanh-361n numepochs=15 learningrate=0.0001 loadondemand=1 numtrain=1000000

it seems that the program run from the previous session like:
layer28 ForwardAuto::forward choosing best instance:
instance 0: cannot be used
instance 1: 2ms
instance 2: 16ms
instance 3: 15ms
instance 4: 15ms
instance 5: 13ms
instance 6: 11ms
selected: instance 1

is this Ok? or how to clean the previous session

from deepcl.

When you start deepcl, it tries different forward propagation kernels,
and chooses the fastest one., In this case kernel 1 runs the fastest,
2ms per batch, and it chooses that one. It's quite ok :-)

On 5/27/15, Andy Yuan [email protected] wrote:

while I am runing

ubgpu@ubgpu:~/github/DeepCL_Kgsgo/DeepCL/build$ ./deepclrun dataset=kgsgoall
netdef=12*(32c5z-relu)-500n-tanh-361n numepochs=15 learningrate=0.0001
loadondemand=1 numtrain=1000000

it seems that the program run from the previous session like:
layer28 ForwardAuto::forward choosing best instance:
instance 0: cannot be used
instance 1: 2ms
instance 2: 16ms
instance 3: 15ms
instance 4: 15ms
instance 5: 13ms
instance 6: 11ms
selected: instance 1

is this Ok? or how to clean the previous session

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#24 (comment)

from deepcl.

I guess I will close this now :-)

from deepcl.