Open pctripsesp opened 3 years ago
RTX 3090.
The same problem.
Hashtopolis send me error: Benchmark failed. I test my hashcat binary (6.2.3) manually:
root@C.1151310:~/htpclient/crackers/3$ ./hashcat.bin -b
hashcat (v6.2.3) starting in benchmark mode
Benchmarking uses hand-optimized kernel code by default.
You can use it in your cracking session by setting the -O option.
Note: Using optimized kernel code limits the maximum supported password length.
To disable the optimized kernel code in benchmark mode, use the -w option.
clGetPlatformIDs(): CL_PLATFORM_NOT_FOUND_KHR
CUDA API (CUDA 11.3)
* Device #1: NVIDIA GeForce RTX 3090, 24012/24267 MB, 82MCU
Benchmark relevant options:
* --optimized-kernel-enable
Hashmode: 0 - MD5
nvrtcCompileProgram(): NVRTC_ERROR_INVALID_OPTION
nvrtc: error: invalid value for --gpu-architecture (-arch)
* Device #1: Kernel /root/htpclient/crackers/3/OpenCL/shared.cl build failed.
* Device #1: Kernel /root/htpclient/crackers/3/OpenCL/shared.cl build failed.
@Milz0 how fix it? I reread a lot of information (how to downgrade the cuda version, etc.) But my tests were not successful.
not sure if you are still having this issue (a year later 😂), but check my pr. If you update the base cuda image to 11.1.1, rebuild and repost the image to docker hub it works great with 30 series gpus. 😄
Not sure or not comfromision programming don't show out ...keep yourself .what your techer name? Which one school name ?
I get this using any instance (eg. RTX 3090. Cuda 11.1)
clGetPlatformIDs(): CL_PLATFORM_FOUND OpenCL-compatible or CUDA-compatible platform found. Alway in my life the OpenCL or CUDA runtime installation and all time Ai fixing problems for me .never ask just fixed bugs and bugs.who one hack my computer get fully back return for her.now not on of my life protection for my life.that all and not return/![image](https://github.com/Milz0/hashtopolis-hashcat-vast/assets/78428434/5f51e7db-6cf6-45a0-b172-616c7ab3cbbb) * AMD GPUs on Linux require this driver: "RadeonOpenCompute (ROCm)" Software Platform (3.1 or later) * Intel CPUs require this runtime: "OpenCL Runtime for Intel Core and Intel Xeon Processors" (16.1.1 or later) * NVIDIA GPUs require this runtime and/or driver (both): "NVIDIA Driver" (440.64 or later) "CUDA Toolkit" (9.0 or later)
> ![err](https://user-images
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I get this error using any instance (eg. RTX 3090. Cuda 11.1)