A common mistake here is to fail to retrieve a valid reference for original or your patches resulting in a null value which when passed to HarmonyMethod will throw an error. You can use standard System.Reflection to get the MethodInfo of the original and your HarmonyMethods. See the Utilities section for the various ways Harmony can make Reflection easier.
Specify an installation component name with which the install ruleis associated, such as Runtime or Development. Duringcomponent-specific installation only install rules associated withthe given component name will be executed. During a full installationall components are installed unless marked with EXCLUDE_FROM_ALL.If COMPONENT is not provided a default component "Unspecified" iscreated. The default component name may be controlled with theCMAKE_INSTALL_DEFAULT_COMPONENT_NAME variable.
Dll Various Mod Components
For shared libraries on DLL platforms, if neither RUNTIME nor ARCHIVEdestinations are specified, both the RUNTIME and ARCHIVE components areinstalled to their default destinations. If either a RUNTIME or ARCHIVEdestination is specified, the component is installed to that destination, andthe other component is not installed. If both RUNTIME and ARCHIVEdestinations are specified, then both components are installed to theirrespective destinations.
When a COMPONENT option is given, the listed implicitlydepends on all components mentioned in the export set. The exported.cmake file will require each of the exported components to bepresent in order for dependent projects to build properly. For example, aproject may define components Runtime and Development, with sharedlibraries going into the Runtime component and static libraries andheaders going into the Development component. The export set would alsotypically be part of the Development component, but it would exporttargets from both the Runtime and Development components. Therefore,the Runtime component would need to be installed if the Developmentcomponent was installed, but not vice versa. If the Development componentwas installed without the Runtime component, dependent projects that tryto link against it would have build errors. Package managers, such as APT andRPM, typically handle this by listing the Runtime component as a dependencyof the Development component in the package metadata, ensuring that thelibrary is always installed if the headers and CMake export file are present.
Sometimes control over modified versions is proposed as a means ofpreventing confusion between various versions made by users. In ourexperience, this confusion is not a major problem. Many versions ofEmacs have been made outside the GNU Project, but users can tell themapart. The GPL requires the maker of a version to place his or hername on it, to distinguish it from other versions and to protect thereputations of other maintainers.
To release a nonfree program is always ethically tainted, butlegally there is no obstacle to your doing this. If you are the copyrightholder for the code, you can release it under various differentnon-exclusive licenses at various times.
The various GNU licenses enjoy broad compatibility between eachother. The only time you may not be able to combine code under two ofthese licenses is when you want to use code that's only underan older version of a license with code that's under a newerversion.
Below is a detailed compatibility matrix for various combinations of theGNU licenses, to provide an easy-to-use reference for specific cases. Itassumes that someone else has written some software under one of theselicenses, and you want to somehow incorporate code from that into a projectthat you're releasing (either your own original work, or a modified versionof someone else's software). Find the license for your project in acolumn at the top of the table, and the license for the other code in a rowon the left. The cell where they meet will tell you whether or not thiscombination is permitted.
yuzu is an experimental open-source emulator for the Nintendo Switch from the creators of Citra.It is written in C++ with portability in mind, with builds actively maintained for Windows and Linux. The emulator currently can play various commercial titles and homebrew applications with varying degrees of success.
You may be unable to correctly install applications, service packs, or other updates while the permission changes that are recommended in the following steps are in place. This includes, but is not limited to, applying updates by using Windows Update, Microsoft Windows Server Update Services (WSUS) server, and System Center Configuration Manager (Configuration Manager 2007), as these products rely on components of Automatic Updates. Make sure that you change the permissions back to default settings after you clean the system.
Exit Registry Editor, and then restart the computer.Note The Task Scheduler service should only be disabled temporarily while you clean up the malware in your environment. This is especially true on Windows Vista and Windows Server 2008 because this step will affect various built-in Scheduled Tasks. As soon as the environment is cleaned up, re-enable the Server service.
While the contents can be used as a reference manual, you should be aware that some topics are revisited in different contexts as various programming and configuration topics are explored. As a result, it is recommended that first-time readers proceed through the guide sequentially. This approach will greatly improve your understanding of effective programming practices and enable you to better use the guide for reference later.
Having completed the GPU acceleration of one or more components of the application it is possible to compare the outcome with the original expectation. Recall that the initial assess step allowed the developer to determine an upper bound for the potential speedup attainable by accelerating given hotspots.
Any CPU timer can be used to measure the elapsed time of a CUDA call or kernel execution. The details of various CPU timing approaches are outside the scope of this document, but developers should always be aware of the resolution their timing calls provide.
Memory optimizations are the most important area for performance. The goal is to maximize the use of the hardware by maximizing bandwidth. Bandwidth is best served by using as much fast memory and as little slow-access memory as possible. This chapter discusses the various kinds of memory on the host and device and how best to set up data items to use the memory effectively.
In A copy kernel that illustrates misaligned accesses, data is copied from the input array idata to the output array, both of which exist in global memory. The kernel is executed within a loop in host code that varies the parameter offset from 0 to 32. (e.g. Figure 4 corresponds to this misalignments) The effective bandwidth for the copy with various offsets on an NVIDIA Tesla V100 (compute capability 7.0) is shown in Figure 5.
This microbenchmark uses a 1024 MB region in GPU global memory. First, we set aside 30 MB of the L2 cache for persisting accesses using cudaDeviceSetLimit(), as discussed above. Then, as shown in the figure below, we specify that the accesses to the first freqSize * sizeof(int) bytes of the memory region are persistent. This data will thus use the L2 set-aside portion. In our experiment, we vary the size of this persistent data region from 10 MB to 60 MB to model various scenarios where data fits in or exceeds the available L2 set-aside portion of 30 MB. Note that the NVIDIA Tesla A100 GPU has 40 MB of total L2 cache capacity. Accesses to the remaining data of the memory region (i.e., streaming data) are considered normal or streaming accesses and will thus use the remaining 10 MB of the non set-aside L2 portion (unless part of the L2 set-aside portion is unused).
More details about the compute capabilities of various GPUs are in CUDA-Enabled GPUs and Compute Capabilities of the CUDA C++ Programming Guide. In particular, developers should note the number of multiprocessors on the device, the number of registers and the amount of memory available, and any special capabilities of the device.
Each component in the toolkit is recommended to be semantically versioned. From CUDA 11.3 NVRTC is also semantically versioned. We will note some of them later on in the document. The versions of the components in the toolkit are available in this table.
By leveraging semantic versioning across components in the CUDA Toolkit, an application can be built for one CUDA minor release (for example 11.1) and work across all future minor releases within the major family (i.e. 11.x).
The CUDA Driver API has a versioned C-style ABI, which guarantees that applications that were running against an older driver (for example CUDA 3.2) will still run and function correctly against a modern driver (for example one shipped with CUDA 11.0). This means that even though an application source might need to be changed if it has to be recompiled against a newer CUDA Toolkit in order to use the newer features, replacing the driver components installed in a system with a newer version will always support existing applications and its functions.
By leveraging the semantic versioning, starting with CUDA 11, components in the CUDA Toolkit will remain binary compatible across the minor versions of the toolkit. In order to maintain binary compatibility across minor versions, the CUDA runtime no longer bumps up the minimum driver version required for every minor release - this only happens when a major release is shipped.
When our CUDA 11.1 application (i.e. cudart 11.1 is statically linked) is run on the system, we see that it runs successfully even when the driver reports a 11.0 version - that is, without requiring the driver or other toolkit components to be updated on the system. 2ff7e9595c
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