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Hi, when I run the test, I got following problem:
(base) root@96ceaf0f06eb:~/thundergbm/build# ./bin/thundergbm-train ../dataset/machine.conf
2021-05-27 03:59:03,078 INFO dataset.cpp:162 : loading LIBSVM dataset from file ## ../dataset/test_dataset.txt ##
2021-05-27 03:59:03,084 INFO dataset.cpp:292 : #instances = 1605, #features = 119
2021-05-27 03:59:03,084 INFO dataset.cpp:301 : Load dataset using time: 0.00575318 s
2021-05-27 03:59:03,119 INFO sparse_columns.cu:22 : convert csr to csc using gpu...
2021-05-27 03:59:03,329 FATAL device_lambda.cuh:54 : Check failed: [error == cudaSuccess] no kernel image is available for execution on the device
I use :
Ubuntu 18.04
NVIDIA-SMI 460.73.01
Driver Version: 460.73.01
CUDA Version: 11.2
GPU: GeForce GTX 950
Can anyone help me ? Thanks !
The text was updated successfully, but these errors were encountered:
Hi, you are using cuda11. Please clone the library and switch to the support_cuda11 branch. Then build the library as the how-to-build-wheel-for-linux introduces.
Hi, when I run the test, I got following problem:
(base) root@96ceaf0f06eb:~/thundergbm/build# ./bin/thundergbm-train ../dataset/machine.conf
2021-05-27 03:59:03,078 INFO dataset.cpp:162 : loading LIBSVM dataset from file ## ../dataset/test_dataset.txt ##
2021-05-27 03:59:03,084 INFO dataset.cpp:292 : #instances = 1605, #features = 119
2021-05-27 03:59:03,084 INFO dataset.cpp:301 : Load dataset using time: 0.00575318 s
2021-05-27 03:59:03,119 INFO sparse_columns.cu:22 : convert csr to csc using gpu...
2021-05-27 03:59:03,329 FATAL device_lambda.cuh:54 : Check failed: [error == cudaSuccess] no kernel image is available for execution on the device
I use :
Ubuntu 18.04
NVIDIA-SMI 460.73.01
Driver Version: 460.73.01
CUDA Version: 11.2
GPU: GeForce GTX 950
Can anyone help me ? Thanks !
The text was updated successfully, but these errors were encountered: