nvprof2json | Convert nvprof profiles into about : tracing

 by   ezyang Python Version: Current License: Non-SPDX

kandi X-RAY | nvprof2json Summary

kandi X-RAY | nvprof2json Summary

nvprof2json is a Python library. nvprof2json has no bugs, it has no vulnerabilities and it has low support. However nvprof2json build file is not available and it has a Non-SPDX License. You can download it from GitHub.

Converter of nvvp profiler output (SQLite3 databases) to Google Trace Event Format, for use with about:tracing. Inspired by Andrew Tulloch and Nicolas Vasilache's gnvprof. Tested with CUDA 8.0.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              nvprof2json has a low active ecosystem.
              It has 48 star(s) with 10 fork(s). There are 7 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 4 open issues and 1 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of nvprof2json is current.

            kandi-Quality Quality

              nvprof2json has 0 bugs and 0 code smells.

            kandi-Security Security

              nvprof2json has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              nvprof2json code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              nvprof2json has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              nvprof2json releases are not available. You will need to build from source code and install.
              nvprof2json has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              nvprof2json saves you 255 person hours of effort in developing the same functionality from scratch.
              It has 620 lines of code, 10 functions and 2 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed nvprof2json and discovered the below as its top functions. This is intended to give you an instant insight into nvprof2json implemented functionality, and help decide if they suit your requirements.
            • Inspect the database
            • Echo the given row
            • Print to stderr
            • Demangle a file
            • Format a size in bytes
            • Makes a time
            Get all kandi verified functions for this library.

            nvprof2json Key Features

            No Key Features are available at this moment for nvprof2json.

            nvprof2json Examples and Code Snippets

            No Code Snippets are available at this moment for nvprof2json.

            Community Discussions

            No Community Discussions are available at this moment for nvprof2json.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install nvprof2json

            You can download it from GitHub.
            You can use nvprof2json like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            Times are inflated by x1000, since nvprof records at ns precision, while Google Trace Event viewer takes ms precision. You can modify munge_time to divide by 1000 but this will cause the viewer to render less precisely.
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/ezyang/nvprof2json.git

          • CLI

            gh repo clone ezyang/nvprof2json

          • sshUrl

            git@github.com:ezyang/nvprof2json.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link