Where is cuda.h

OS Platform and Distribution e. Build label: 0. Amit worked on similar issues before. Could you take a look? But …. Awaiting solutions. Thanks for info! Any update? CMake building fail on Linux Centos 7 We now build pip packages starting from 1. Please comment if there are any other issues. Adapt custom ops to tf 1. PatWie closed this Feb 19, How to obtain the. Alro10 mentioned this issue May 14, Zardinality mentioned this issue Aug 30, No file named 'correlation. PatWie mentioned this issue May 2, JulesDoe mentioned this issue May 15, Difference between cuda.

Asked 2 Months ago Answers: 5 Viewed 50 times. In very broad terms: cuda. Razvan N. As suggested by many, licensing is a change between JDKs. Sam Adamsh.

Only authorized users can answer the question. I'd encourage you to read the previously linked install guide, as it contains useful information about post-installation setup steps, such as setting environment variables, and also how to "verify" the CUDA installation. Any time you are running CUDA codes, and having any sort of trouble, make sure to use proper cuda error checking and run your codes with cuda-memcheck, like so:.

Even if you don't understand the error information reported, it may be useful for those trying to help you. I have never compiled a cuda project myself but I think you will need to link the library to the compiler. Some quick googling says Nvidia has compiler for this which will handle everything. So you just need to install that and you should be good to go.

Finally, Ubuntu I'd encourage you to read the previously linked install guide, as it contains useful information about post-installation setup steps, such as setting environment variables, and also how to "verify" the CUDA installation.

Any time you are running CUDA codes, and having any sort of trouble, make sure to use proper cuda error checking and run your codes with cuda-memcheck, like so:. Even if you don't understand the error information reported, it may be useful for those trying to help you. I have never compiled a cuda project myself but I think you will need to link the library to the compiler. Some quick googling says Nvidia has compiler for this which will handle everything.

So you just need to install that and you should be good to go. It's called NVVC. Once installed just run:. With external libraries like these, you almost always need to link them. You don't have to do it for the standard library because the linker already knows where to find it. Stack Overflow for Teams — Collaborate and share knowledge with a private group. Create a free Team What is Teams?

Collectives on Stack Overflow. Learn more. Fatal error: cuda.