If the build number is lower than “18917”, then you will have WSL 1 in your system. If the build number is higher than “18917”, then your system supports WSL 2.
My file is 20gb, i try cp to linux but permision denied. I've run Ubuntu with administrator but still cant. Could I specify windows file directory just to load the file?
Thanks for your tutorial. I meet this error in the test part: >>> import cudf Traceback (most recent call last): File "", line 1, in File "/home/mike-ubuntu/anaconda3/envs/rapids-22.10/lib/python3.9/site-packages/cudf/__init__.py", line 5, in validate_setup() File "/home/mike-ubuntu/anaconda3/envs/rapids-22.10/lib/python3.9/site-packages/cudf/utils/gpu_utils.py", line 95, in validate_setup cuda_runtime_version = runtimeGetVersion() File "/home/mike-ubuntu/anaconda3/envs/rapids-22.10/lib/python3.9/site-packages/rmm/_cuda/gpu.py", line 87, in runtimeGetVersion major, minor = numba.cuda.runtime.get_version() File "/home/mike-ubuntu/anaconda3/envs/rapids-22.10/lib/python3.9/site-packages/numba/cuda/cudadrv/runtime.py", line 111, in get_version self.cudaRuntimeGetVersion(ctypes.byref(rtver)) File "/home/mike-ubuntu/anaconda3/envs/rapids-22.10/lib/python3.9/site-packages/numba/cuda/cudadrv/runtime.py", line 81, in safe_cuda_api_call self._check_error(fname, retcode) File "/home/mike-ubuntu/anaconda3/envs/rapids-22.10/lib/python3.9/site-packages/numba/cuda/cudadrv/runtime.py", line 89, in _check_error raise CudaRuntimeAPIError(retcode, msg) numba.cuda.cudadrv.runtime.CudaRuntimeAPIError: [100] Call to cudaRuntimeGetVersion results in CUDA_ERROR_NO_DEVICE Do you have any idea? This url cannot be used: developer.nvidia.com/cuda/wsl/download. Maybe this one works: www.nvidia.com/Download/index.aspx?lang=en-us
Hı ı got thıs error? CondaValueError: invalid package specification: rapids=22.04
where is the rapidsai installation on windows?? you installed it in ubuntu
If the build number is lower than “18917”, then you will have WSL 1 in your system. If the build number is higher than “18917”, then your system supports WSL 2.
The cuml library imported fine but when I tried to use it’s giving memory error!
My file is 20gb, i try cp to linux but permision denied. I've run Ubuntu with administrator but still cant. Could I specify windows file directory just to load the file?
did you try: sudo cp
Thanks a lot sir
✌️
Can I try this nvidia rapids
Yep as long as you have an nvidia gpu
Bro I don't have gpu
Thanks for your tutorial.
I meet this error in the test part:
>>> import cudf
Traceback (most recent call last):
File "", line 1, in
File "/home/mike-ubuntu/anaconda3/envs/rapids-22.10/lib/python3.9/site-packages/cudf/__init__.py", line 5, in
validate_setup()
File "/home/mike-ubuntu/anaconda3/envs/rapids-22.10/lib/python3.9/site-packages/cudf/utils/gpu_utils.py", line 95, in validate_setup
cuda_runtime_version = runtimeGetVersion()
File "/home/mike-ubuntu/anaconda3/envs/rapids-22.10/lib/python3.9/site-packages/rmm/_cuda/gpu.py", line 87, in runtimeGetVersion
major, minor = numba.cuda.runtime.get_version()
File "/home/mike-ubuntu/anaconda3/envs/rapids-22.10/lib/python3.9/site-packages/numba/cuda/cudadrv/runtime.py", line 111, in get_version
self.cudaRuntimeGetVersion(ctypes.byref(rtver))
File "/home/mike-ubuntu/anaconda3/envs/rapids-22.10/lib/python3.9/site-packages/numba/cuda/cudadrv/runtime.py", line 81, in safe_cuda_api_call
self._check_error(fname, retcode)
File "/home/mike-ubuntu/anaconda3/envs/rapids-22.10/lib/python3.9/site-packages/numba/cuda/cudadrv/runtime.py", line 89, in _check_error
raise CudaRuntimeAPIError(retcode, msg)
numba.cuda.cudadrv.runtime.CudaRuntimeAPIError: [100] Call to cudaRuntimeGetVersion results in CUDA_ERROR_NO_DEVICE
Do you have any idea?
This url cannot be used: developer.nvidia.com/cuda/wsl/download.
Maybe this one works: www.nvidia.com/Download/index.aspx?lang=en-us
Thank you so much sir