ResourceExhaustedError (see above for traceback): OOM when allocating tensor with shape[4004352,1280] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[[node training/Adadelta/zeros_8 (defined at F:\Local_API\GameBot\env\lib\site-packages\keras\backend\tensorflow_backend.py:702) ]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.
This happens if I use resize more than 150... Should it be only 150 x 150?
With @ardamavi logic only one screenshot is getting saved if same button is pressed. How is that?
count_categori[1] = data.split(',') is not used even. Please advise how can I make this work...
ResourceExhaustedError (see above for traceback): OOM when allocating tensor with shape[4004352,1280] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc [[node training/Adadelta/zeros_8 (defined at F:\Local_API\GameBot\env\lib\site-packages\keras\backend\tensorflow_backend.py:702) ]] Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.
This happens if I use resize more than 150... Should it be only 150 x 150?
With @ardamavi logic only one screenshot is getting saved if same button is pressed. How is that?
count_categori[1] = data.split(',') is not used even. Please advise how can I make this work...