eim Trainieren eines Tensorflow-seq2seq-Modells werden die folgenden Meldungen angezeigt:

W tensorflow/core/common_runtime/gpu/pool_allocator.cc:227] PoolAllocator: After 27282 get requests, put_count=9311 evicted_count=1000 eviction_rate=0.1074 and unsatisfied allocation rate=0.699032
I tensorflow/core/common_runtime/gpu/pool_allocator.cc:239] Raising pool_size_limit_ from 100 to 110
W tensorflow/core/common_runtime/gpu/pool_allocator.cc:227] PoolAllocator: After 13715 get requests, put_count=14458 evicted_count=10000 eviction_rate=0.691659 and unsatisfied allocation rate=0.675684
I tensorflow/core/common_runtime/gpu/pool_allocator.cc:239] Raising pool_size_limit_ from 110 to 121
W tensorflow/core/common_runtime/gpu/pool_allocator.cc:227] PoolAllocator: After 6965 get requests, put_count=6813 evicted_count=5000 eviction_rate=0.733891 and unsatisfied allocation rate=0.741421
I tensorflow/core/common_runtime/gpu/pool_allocator.cc:239] Raising pool_size_limit_ from 133 to 146
W tensorflow/core/common_runtime/gpu/pool_allocator.cc:227] PoolAllocator: After 44 get requests, put_count=9058 evicted_count=9000 eviction_rate=0.993597 and unsatisfied allocation rate=0
W tensorflow/core/common_runtime/gpu/pool_allocator.cc:227] PoolAllocator: After 46 get requests, put_count=9062 evicted_count=9000 eviction_rate=0.993158 and unsatisfied allocation rate=0
W tensorflow/core/common_runtime/gpu/pool_allocator.cc:227] PoolAllocator: After 4 get requests, put_count=1029 evicted_count=1000 eviction_rate=0.971817 and unsatisfied allocation rate=0
W tensorflow/core/common_runtime/gpu/pool_allocator.cc:227] PoolAllocator: After 2 get requests, put_count=1030 evicted_count=1000 eviction_rate=0.970874 and unsatisfied allocation rate=0
W tensorflow/core/common_runtime/gpu/pool_allocator.cc:227] PoolAllocator: After 44 get requests, put_count=6074 evicted_count=6000 eviction_rate=0.987817 and unsatisfied allocation rate=0
W tensorflow/core/common_runtime/gpu/pool_allocator.cc:227] PoolAllocator: After 12 get requests, put_count=6045 evicted_count=6000 eviction_rate=0.992556 and unsatisfied allocation rate=0
W tensorflow/core/common_runtime/gpu/pool_allocator.cc:227] PoolAllocator: After 2 get requests, put_count=1042 evicted_count=1000 eviction_rate=0.959693 and unsatisfied allocation rate=0
W tensorflow/core/common_runtime/gpu/pool_allocator.cc:227] PoolAllocator: After 44 get requests, put_count=6093 evicted_count=6000 eviction_rate=0.984737 and unsatisfied allocation rate=0
W tensorflow/core/common_runtime/gpu/pool_allocator.cc:227] PoolAllocator: After 4 get requests, put_count=1069 evicted_count=1000 eviction_rate=0.935454 and unsatisfied allocation rate=0
W tensorflow/core/common_runtime/gpu/pool_allocator.cc:227] PoolAllocator: After 17722 get requests, put_count=9036 evicted_count=1000 eviction_rate=0.110668 and unsatisfied allocation rate=0.550615
I tensorflow/core/common_runtime/gpu/pool_allocator.cc:239] Raising pool_size_limit_ from 792 to 871
W tensorflow/core/common_runtime/gpu/pool_allocator.cc:227] PoolAllocator: After 6 get requests, put_count=1093 evicted_count=1000 eviction_rate=0.914913 and unsatisfied allocation rate=0
W tensorflow/core/common_runtime/gpu/pool_allocator.cc:227] PoolAllocator: After 6 get requests, put_count=1101 evicted_count=1000 eviction_rate=0.908265 and unsatisfied allocation rate=0
W tensorflow/core/common_runtime/gpu/pool_allocator.cc:227] PoolAllocator: After 3224 get requests, put_count=4684 evicted_count=2000 eviction_rate=0.426985 and unsatisfied allocation rate=0.200062
I tensorflow/core/common_runtime/gpu/pool_allocator.cc:239] Raising pool_size_limit_ from 1158 to 1273
W tensorflow/core/common_runtime/gpu/pool_allocator.cc:227] PoolAllocator: After 17794 get requests, put_count=17842 evicted_count=9000 eviction_rate=0.504428 and unsatisfied allocation rate=0.510228
I tensorflow/core/common_runtime/gpu/pool_allocator.cc:239] Raising pool_size_limit_ from 1400 to 1540
W tensorflow/core/common_runtime/gpu/pool_allocator.cc:227] PoolAllocator: After 31 get requests, put_count=1185 evicted_count=1000 eviction_rate=0.843882 and unsatisfied allocation rate=0
W tensorflow/core/common_runtime/gpu/pool_allocator.cc:227] PoolAllocator: After 40 get requests, put_count=8209 evicted_count=8000 eviction_rate=0.97454 and unsatisfied allocation rate=0
W tensorflow/core/common_runtime/gpu/pool_allocator.cc:227] PoolAllocator: After 0 get requests, put_count=2272 evicted_count=2000 eviction_rate=0.880282 and unsatisfied allocation rate=-nan
W tensorflow/core/common_runtime/gpu/pool_allocator.cc:227] PoolAllocator: After 0 get requests, put_count=2362 evicted_count=2000 eviction_rate=0.84674 and unsatisfied allocation rate=-nan
W tensorflow/core/common_runtime/gpu/pool_allocator.cc:227] PoolAllocator: After 38 get requests, put_count=5436 evicted_count=5000 eviction_rate=0.919794 and unsatisfied allocation rate=0

Was bedeutet es, dass ich Probleme mit der Ressourcenzuweisung habe? Läuft auf Titan X 3500+ CUDA, 12 GB GPU