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Help with installing Dynet - GPU #3
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This is resolved. Refer clab/dynet#1652 |
@vahini01 @shrutirij I was able to resolve the CUDA 11 installation issue by following the instructions you shared, but I am now getting a run-time error that CUDA couldn't allocate any memory upfront at all. Stack-trace referenced here. Running training on CPU is taking over 18 hours for 1 epoch and I'd really like to be able to use my GPUs! If you could share any insights, that would be much appreciated! |
Just a weird observation in case someone lands on this page - I asked a friend to try these steps with an instance containing K80 GPUs (I was using an instance with Tesla V100s) and it worked out for them, no run-time errors. CUDA version is the same (11.1), python version they were using was 3.7 while I was using 3.8. |
Hi,
I am facing some issues while installing Dynet-GPU for CUDA 11.1. Can you please inform, whether you have used the CPU version of dynet or GPU ? If GPU, then can you inform the version of dynet and eigen that you have used?
System Specifications:
Cuda Version - 11.1
I have tried the following versions.
Build Command:
To avoid Unsupported GPU architecture for compute_30 during build time, the below command is used.
cmake .. -DEIGEN3_INCLUDE_DIR=../eigen -DPYTHON='which python' -DBACKEND=cuda -DCUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda-11.1
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