jitify | A single-header C++ library for simplifying the use of CUDA Runtime Compilation (NVRTC) | GPU library

 by   NVIDIA C++ Version: Current License: BSD-3-Clause

kandi X-RAY | jitify Summary

kandi X-RAY | jitify Summary

jitify is a C++ library typically used in Hardware, GPU applications. jitify has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

A single-header C++ library for simplifying the use of CUDA Runtime Compilation (NVRTC).
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              jitify has a low active ecosystem.
              It has 454 star(s) with 62 fork(s). There are 25 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 17 open issues and 29 have been closed. On average issues are closed in 44 days. There are 8 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of jitify is current.

            kandi-Quality Quality

              jitify has no bugs reported.

            kandi-Security Security

              jitify has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              jitify is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              jitify releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.

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            jitify Key Features

            No Key Features are available at this moment for jitify.

            jitify Examples and Code Snippets

            No Code Snippets are available at this moment for jitify.

            Community Discussions

            Trending Discussions on jitify

            QUESTION

            Check that `name_expressions` is iterable
            Asked 2020-Dec-02 at 16:28

            When trying out the new jitify support planned for CuPy v9.x, I found that the name_expressions named argument to cupy.RawModule needs to be iterable for the NVRTC to not fail when later calling get_function. Question stemming out of cupy.RawModule using name_expressions and nvcc and/or path.

            ...

            ANSWER

            Answered 2020-Dec-02 at 16:28

            Well, first of all, we did say it's a sequence (ex: list/tuple) of strings and gave an example in the doc page you quoted:

            name_expressions (sequence of str) – A sequence (e.g. list) of strings referring to the names of C++ global/template kernels. For example, name_expressions=['func1', 'func1', 'func2'] for the template kernel func1 and non-template kernel func2. Strings in this tuple must then be passed, one at a time, to get_function() to retrieve the corresponding kernel.

            So I don't see any ambiguity. There is no doubt that it's such a common pitfall in Python to write ('abc') and thinking it's a 1-element tuple containing the string 'abc', for which it should been written as ('abc',) with comma. But checking for such pitfall everywhere in the codebase would be a pain in the ass IMHO.

            Second, even if we add a check to ensure the input is iterable, it still doesn't solve your issue as strings are also iterable/sequence:

            Source https://stackoverflow.com/questions/65087601

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install jitify

            Jitify is just a single header file:. Compile with: -pthread (not needed if JITIFY_THREAD_SAFE is defined to 0). Link with: -lcuda -lcudart -lnvrtc. A small utility called stringify is included for converting text files into C string literals, which provides a convenient way to integrate JIT-compiled sources into a build.

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          • HTTPS

            https://github.com/NVIDIA/jitify.git

          • CLI

            gh repo clone NVIDIA/jitify

          • sshUrl

            git@github.com:NVIDIA/jitify.git

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