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here is the command to start the test
nvidia-docker run -it --rm putcn/vgg16_test:latest-gpu-dist --local yes --device GPU --batch_size 80 --data_set flowers
the error is
Traceback (most recent call last):
File "vgg16_fluid.py", line 289, in <module>
main()
File "vgg16_fluid.py", line 228, in main
train_loop(exe, fluid.default_main_program())
File "vgg16_fluid.py", line 195, in train_loop
fetch_list=[avg_cost, batch_acc, batch_size])
File "/usr/local/lib/python2.7/dist-packages/paddle/fluid/executor.py", line 336, in run
self.executor.run(program.desc, scope, 0, True, True)
paddle.fluid.core.EnforceNotMet: enforce allocating <= available failed, 10484135494 > 1346502400
at [/paddle/paddle/fluid/platform/gpu_info.cc:119]
any clue?
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