sor-tutorial | Scotland on Rails Charity tutorial | Learning library

 by   chad C Version: Current License: No License

kandi X-RAY | sor-tutorial Summary

kandi X-RAY | sor-tutorial Summary

sor-tutorial is a C library typically used in Tutorial, Learning, Ruby On Rails applications. sor-tutorial has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Scotland on Rails Charity tutorial
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              sor-tutorial has a low active ecosystem.
              It has 25 star(s) with 1 fork(s). There are 4 watchers for this library.
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              It had no major release in the last 6 months.
              sor-tutorial has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of sor-tutorial is current.

            kandi-Quality Quality

              sor-tutorial has no bugs reported.

            kandi-Security Security

              sor-tutorial has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              sor-tutorial does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              sor-tutorial releases are not available. You will need to build from source code and install.

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            sor-tutorial Key Features

            No Key Features are available at this moment for sor-tutorial.

            sor-tutorial Examples and Code Snippets

            No Code Snippets are available at this moment for sor-tutorial.

            Community Discussions

            QUESTION

            Intel Advisor optimal flags and settings
            Asked 2020-May-21 at 08:50

            I'm reading this tutorial about code vectorization using Intel Advisor. In particular in this page they suggest to:

            Build the target sample application in release mode ... compiler options: -O2 -g

            And following:

            To build your own applications to produce the most accurate and complete Vectorization Advisor analysis results, build an optimized binary in release mode using the following settings.

            ...

            ANSWER

            Answered 2017-Feb-02 at 21:02

            The relevant entry point to fresh Intel Advisor tutorials is Getting Started, where you can pick and choose appropriate sub-tutorials. Vectorization Advisor sub-tutorial for Linux can be found here. It precisely says that:

            -qopt-report=5 : necessary for version 15.0 of the Intel compiler; unnecessary for version 16.0 and higher

            With regards to -vec, -simd, -openmp, the tutorial slightly confuses flags needed for proper Advisor functioning (-g, -O2, optionally -opt-report) vs. flags needed for "proper" Compiler functioning ( -vec, -simd and -openmp). The later ones are just flags controlling compiler's vector code generation, they have nothing to do with Advisor profiling capabilities so you may or may not use them.

            To give you deeper understanding: there is an important feature in Advisor, which is called Intel Advisor Survey "Compiler Integration". This feature leverages the data relatively similar but not identical to opt-report. In order to make this feature working you need

            1. Using Intel Coimpiler 14.x beta, 15.x, 16.x or 17.x
            2. -g (enable debug info) and -O2 or higher (enable some optimization)
            3. Optional (for Intel Compiler 15.x only) -qopt-report5

            All other features in Intel Advisor work equally well regardless of Compiler version (item 1 above) or opt-report and versions (item 3 above) , but they all still require -g (part of option 2 above). -O2 is not needed for some features, but it is typically useless to deal with -O0 or -O1 compiled binaries when analyzing performance aspects.

            Source https://stackoverflow.com/questions/42001174

            QUESTION

            PyTorch conversion between tensor and numpy array: the addition operation
            Asked 2019-Mar-07 at 09:36

            I am following the 60-minute blitz on PyTorch but have a question about conversion of a numpy array to a tensor. Tutorial example here.

            This piece of code:

            ...

            ANSWER

            Answered 2019-Mar-07 at 09:34

            My take on this :

            When you do

            Source https://stackoverflow.com/questions/55040217

            QUESTION

            Pytorch errors: "received an invalid combination of arguments" in Jupyter Notebook
            Asked 2019-Jan-21 at 02:44

            I'm trying to learn Pytorch, but whenever I seem to try any online tutorial (https://pytorch.org/tutorials/beginner/blitz/tensor_tutorial.html#sphx-glr-beginner-blitz-tensor-tutorial-py), I get errors when trying to run certain functions, but only in Jupyter Notebook.

            When running

            ...

            ANSWER

            Answered 2019-Jan-21 at 02:44

            Ok, so the fix for me was to either update pytorch through conda using the following command

            Source https://stackoverflow.com/questions/54257695

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

            Vulnerabilities

            No vulnerabilities reported

            Install sor-tutorial

            You can download it from GitHub.

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            https://github.com/chad/sor-tutorial.git

          • CLI

            gh repo clone chad/sor-tutorial

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            git@github.com:chad/sor-tutorial.git

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