When i use CUDA (-U flag), the miner gives me "CUDA error in func 'ethash_cuda_miner::getNumDevices' at line 112 : CUDA driver version is insufficient for CUDA runtime version." I then switched to using OpenCL to mine, and was mining at a speed of 21 MH/s. Variables may only be used in one data clause per construct. E.g. This generates an error: #pragma acc parallel copyin (foo) copyout (foo) Fortran program built with -ffpe-trap=invalid,zero,overflow may trigger floating point exceptions in the cuda driver runtime. Building with -ffast-math may occasionally cause linker errors.
1131 */ 1132 CUDA_ERROR_INVALID_DEVICE = 101, 1133 1134 /** 1135 * This indicates that the device kernel image is invalid. This can also 1136 * indicate an invalid CUDA module. 1137 */ 1138 CUDA_ERROR_INVALID_IMAGE = 200, 1139 1140 /** 1141 * This most frequently indicates that there is no context bound to the 1142 * current thread. May 21, 2018 · Hello everybody, I’m using python 3.6 (64 bit) with pytorch (0.3.1 post 2) on Windows 10. I received the following run time error; “RuntimeError: invalid argument 2: out of range at c:\anaconda2\conda-bld\pytorch_1519… Nov 26, 2010 · Info: 1 NAMD 2.7 Linux-x86_64-CUDA 2 ulisse.icmib.na.cnr.it piero Info: Running on 2 processors. Info: CPU topology information available. Info: Charm++/Converse parallel runtime startup completed at 0.0095129 s Did not find +devices i,j,k,... argument, using all Pe 0 physical rank 0 binding to CUDA device 0 on
Sep 01, 2020 · One of the following methods must be used to correct this problem: Correct the spread of the header within the column layout, then re-generate the report OR Contact FRx Support, reference this article, and send the problem FRV file - FRx Support can modify the file to resolve this problem. The default after the initial configure step is 3. After building, if you run ctest and it fails, look at (builddir)/Testing/Temporary/LastTest.log. The error indicating whether you have the wrong device # will be "Invalid argument" on a call to 'cudaSafeCall'. I don't have RTX 2080 cards and chances are that the driver shipped with CUDA 9.0 is not fully compatible with RTX 2080. I installed CUDA 10.1 at first.
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