Where to find cuda.rules

The following variables affect the behavior of the macros in the script in alphabetical order. If you compile to PTX and then load the file yourself, you can mix bit sizes between device and host. Set to ON if you want the custom build rule to be attached to the source file in Visual Studio. Turn OFF if you add the same cuda file to multiple targets. When performing parallel builds it is possible for the custom build command to be run more than once and in parallel causing cryptic build errors.

VS runs the rules for every source file in the target, and a source can have only one rule no matter how many projects it is added to.

When the rule is run from multiple targets race conditions can occur on the generated file. Eventually everything will get built, but if the user is unaware of this behavior, there may be confusion. It would be nice if this script could detect the reuse of source files across multiple targets and turn the option off for the user, but no good solution could be found.

Set to ON to enable and extra compilation pass with the -cubin option in Device mode. The output is parsed and register, shared memory usage is printed during build. Set to ON for Emulation mode. Set to the path you wish to have the generated files placed. Set to OFF for C compilation of host code. Set the host compiler to be used by nvcc. Additional NVCC command line arguments.

NOTE: multiple arguments must be semi-colon delimited e. This helps make the generated host code match the rest of the system better. Sometimes certain flags give nvcc problems, and this will help you turn the flag propagation off.

Flags used for shared library compilation are not affected by this flag. If set this will enable separable compilation for all CUDA runtime object files. If an input source file is not a. If the version of CUDA configured doesn't support this option, then it will be silently disabled. Adds the cufft library to the target can be any target. Handles whether you are in emulation mode or not. Adds the cublas library to the target can be any target.

Some standard CMake target calls can be used on the target after calling this macro e. Creates a convenience target that deletes all the dependency files generated. You should make clean after running this target to ensure the dependency files get regenerated.

Returns a list of PTX files generated from the input source files. Compute the name of the intermediate link file used for separable compilation. Note that this is a function and not a macro. Sets the directories that should be passed to nvcc e. Can anybody please tell what m i missing and where can I get this rules file as I am not able to find it in SDK.

The "SDK" is basically a set of examples, you will need the Toolkit as well since it includes the compiler itself. Once you've installed the Toolkit and got the SDK samples working, check out this post for how to get started with your own project or this post for VS 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. Where to find cuda. Asked 9 years, 6 months ago.

Active 9 years, 6 months ago. Viewed 2k times. Thanks,Any suggestion will be very helpful. Improve this question. Looks like he hasn't installed the toolkit to me, or the rules file was not copied correctly. Note that it has not been called cuda. See stackoverflow. Thanks for your reply.. I have configured it. Add a comment. Active Oldest Votes.