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BiMPM MODEL
graphic card: titan xp
RAM: 128G
I want to know how you train the model. I have adjust batch_size to 16 but the problem still happens.
here is my report
ResourceExhaustedError (see above for traceback): OOM when allocating tensor with shape[30720,20000] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[[node dense/kernel/Initializer/random_uniform/RandomUniform (defined at /home/prj05/zbh/BiMPM/BiMPM.py:163) = RandomUniform[T=DT_INT32, _class=["loc:@dense/kernel/Assign"], dtype=DT_FLOAT, seed=0, seed2=0, _device="/job:localhost/replica:0/task:0/device:GPU:0"](dense/kernel/Initializer/random_uniform/shape)]]
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.
thanks :-)
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