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u39kun / deep-learning-benchmark

Deep Learning Benchmark for comparing the performance of DL frameworks, GPUs, and single vs half precision
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Running the benchmark with rtx 2080 Ti #12

Open ghost opened 6 years ago

ghost commented 6 years ago

Hi, I have been using your benchmark to run different test and comparison between 10 series cards, now I have received the RTX 2080 ti and when trying to run the benchmark I am getting this:

Running the benchmark $sudo python3 benchmark.py

running benchmark for frameworks ['pytorch', 'tensorflow', 'caffe2'] cuda version= None cudnn version= 7201 /home/bizon/benchmark/deep-learning-benchmark-master/frameworks/pytorch/models.py:17: UserWarning: volatile was removed and now has no effect. Use with torch.no_grad(): instead. self.eval_input = torch.autograd.Variable(x, volatile=True).cuda() if precision == 'fp32' \ Segmentation fault

The benchmark have been running with all the other cards and also the minst benchmark is running perfect, I would like to test all the new RTX cards to see the performance.

Your help here will be really appreciate it. Thanks in advance

hery commented 5 years ago

Hello, have you installed CUDA 10? CUDA 9 does not support the Turing architecture.