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I got this sentence in py-faster-Rcnn

F0205 17:04:17.806836  4300 pooling_layer.cu:212] Check failed: error == cudaSuccess (8 vs. 0)  invalid device function
*** Check failure stack trace: ***

GPU : Geforce 1080Ti

CUDA : 7.5

Cudnn : v5

My Makefile.config

CUDA_ARCH := -gencode arch=compute_20,code=sm_20 \
        -gencode arch=compute_20,code=sm_21 \
        -gencode arch=compute_30,code=sm_30 \
        -gencode arch=compute_35,code=sm_35 \
        -gencode arch=compute_50,code=sm_50 \
        -gencode arch=compute_52,code=sm_52 \
        -gencode arch=compute_60,code=sm_60 \
        -gencode arch=compute_61,code=sm_61 \
        -gencode arch=compute_61,code=compute_61

what can i do?

Chansu Lee
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1 Answers1

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Install CUDA 8.0 and that should resolve the issue.

From this you can find out that GeForce GTX 1080 Ti GPU belongs to Pascal GPU Micro architecture with compute capability version 6.1 which is supported by CUDA 8.0 or higher.

CUDA SDK 8.0 support for compute capability 2.0 – 6.x (Fermi, Kepler, Maxwell, Pascal), last version with support for Compute Capability 2.x (Fermi)

CUDA SDK 7.5 support for compute capability 2.0 – 5.x (Fermi, Kepler, Maxwell)

Venkatesh Wadawadagi
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