xtensor | C++ tensors with broadcasting and lazy computing | Machine Learning library

by xtensor-stack C++ Version: 0.24.6 License: BSD-3-Clause

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kandi X-RAY | xtensor Summary

xtensor is a C++ library typically used in Artificial Intelligence, Machine Learning, Numpy applications. xtensor has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

xtensor is a C++ library meant for numerical analysis with multi-dimensional array expressions. Containers of xtensor are inspired by NumPy, the Python array programming library. Adaptors for existing data structures to be plugged into our expression system can easily be written. In fact, xtensor can be used to process NumPy data structures inplace using Python's buffer protocol. Similarly, we can operate on Julia and R arrays. For more details on the NumPy, Julia and R bindings, check out the xtensor-python, xtensor-julia and xtensor-r projects respectively.

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Quality

Security

License

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Support

xtensor has a medium active ecosystem.

It has 2968 star(s) with 374 fork(s). There are 88 watchers for this library.

It had no major release in the last 6 months.

There are 345 open issues and 801 have been closed. On average issues are closed in 266 days. There are 35 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of xtensor is 0.24.6

Quality

xtensor has 0 bugs and 0 code smells.

Security

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

xtensor code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

xtensor 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.

Reuse

xtensor releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

It has 174 lines of code, 7 functions and 6 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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xtensor Key Features

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xtensor Examples and Code Snippets

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Community Discussions

Trending Discussions on xtensor

How to build header only C++ library within Bazel workspace?

How can I use equality in xt::filter?

xtensor equivalent of numpy a[a>3] = 1

Python library and CMake target with the same name

xtensor-blas incorrect computation

xtensor's "operator/" slower than numpy's "/"

Cannot use xtensor-blas on Windows

xtensor : How to write an vector to an array

Matrix multiplication in c++ in Android Studio

How to: Extend C++14 template function to variadic template, arguments

QUESTION

How to build header only C++ library within Bazel workspace?

Asked 2022-Feb-07 at 19:50

I'm working on a C++ project and I need Numpy like arrays and functionalities in C++. I found some alternatives like xtensor, NumCpp etc. These are header only libraries. The problem is I'm experimenting with Bazel for the first time so, I don't have any idea about how do I add header only library to Bazel workspace. There are some suggestions like genrule-environment, rules-foreign-cc suggested on other questions around Bazel. I've added http_archive to WORKSPACE file, but I'm not sure what to add in BUILD file.

WORKSPACE file

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ANSWER

Answered 2022-Feb-07 at 19:50

For simple things like header-only libraries, I would write BUILD files yourself, without using rules_foreign_cc. Just write a cc_library with no srcs. Something like this:

Source https://stackoverflow.com/questions/71023144

QUESTION

How can I use equality in xt::filter?

Asked 2021-Aug-09 at 14:10

the following code,

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ANSWER

Answered 2021-Aug-09 at 14:10

xtensor provides logical operators like && and ||. Combining these with the allowed comparisons results in the same output as expected by '==' or '!='.

specifically a >= 2 && a <= 2 <=> a == 2 and a > 2 || a < 2 <=> a != 2

so my final program is

Source https://stackoverflow.com/questions/68583581

QUESTION

xtensor equivalent of numpy a[a>3] = 1

Asked 2021-Aug-02 at 19:13

Title says it - what is the xtensor equivalent of numpy's

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ANSWER

Answered 2021-Aug-02 at 13:49

xt::filter appears be a view, which are (currently) not super efficient in xtensor. I would use xt::where. It might result in a temporary though, which may of may not be the case in NumPy. Since I don't know the details on the the temporary let's do at least some timing:

1. NumPy indexing:

Source https://stackoverflow.com/questions/68614578

QUESTION

Python library and CMake target with the same name

Asked 2021-Apr-23 at 08:00

I'm constructing a library "mylib" that is C++ header-only and has a Python API using pybind11. I want to use "mylib" both as CMake target, containing compile instructions, and as name of the Python API. However, this leads to a name conflict.

Problem description

Consider the following file structure:

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ANSWER

Answered 2021-Apr-23 at 08:00

pybind11_add_module is just a wrapper around add_library, this is explicitely written in the documentation for that function. So, most of the "tricks", which works for the common libraries, works for python modules too.

That is, if you want resulted file to be named as mylib.so but cannot afford you to use mylib as a target name, then you could use any other name for the target but adjust OUTPUT_NAME property for that target. For example:

Source https://stackoverflow.com/questions/67212833

QUESTION

xtensor-blas incorrect computation

Asked 2021-Apr-05 at 17:26

I'm trying to use xtensor-blas for the first time. I've had lots of difficulties linking to it, but finally, I've done that and tried to run the sample programs. However, as the output, I get 0 for the first and 0, -inf for the second.

I'm using Windows 10 x64, Clion 2021.1
Installed cmake 3.19.7, xtensor 0.23.4, xtensor-blas 0.19.0, openblas 0.3.13, lapack 3.6.1 using anaconda
Compiled using Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.28.29910\bin\HostX64\x64\cl.exe

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ANSWER

Answered 2021-Apr-05 at 17:26

The problem is with the example, that uses a singular matrix. Its determinant should be 0 as your code outputs correctly.

This case was discussed in a pull request for xtensor-blas, and the solution was to change the example.

Source https://stackoverflow.com/questions/66921118

QUESTION

xtensor's "operator/" slower than numpy's "/"

Asked 2021-Apr-01 at 07:56

I'm trying to transfer some code I've previously written in python into C++, and I'm currently testing xtensor to see if it can be faster than numpy for doing what I need it to.

One of my functions takes a square matrix d and a scalar alpha, and performs the elementwise operation alpha/(alpha+d). Background: this function is used to test which value of alpha is 'best', so it is in a loop where d is always the same, but alpha varies.

All of the following time scales are an average of 100 instances of running the function.

In numpy, it takes around 0.27 seconds to do this, and the code is as follows:

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ANSWER

Answered 2021-Apr-01 at 07:56

A problem with the C++ implementation may be that it creates one or possibly even two temporary copies that could be avoided. The first copy comes from not passing the argument by reference (or perfect forwarding). Without looking at the rest of the code its hard to judge if this has an impact on the performance or not. The compiler may move d into the method if its guaranteed to be not used after the method xk(), but it is more likely to copy the data into d.

To pass by reference, the method could be changed to

Source https://stackoverflow.com/questions/66689002

QUESTION

Cannot use xtensor-blas on Windows

Asked 2021-Mar-31 at 08:28

Disclaimer: I'm a noob at building/make/packages/cmake.
My goal: Use xtensor-blas library in C++
My env: Win10 x64, CLion2021
My problem: Can't get the simplest examples to compile. Sth about project dependencies.
I tried:
1) downloading and compiling openBLAST manually using every tutorial I could google - always stopped at different problems. Either I don't have "nmake" or build failed for some reason, or I get "undefined reference" etc. - I've been overwhelmed for a couple of days. A step-by-step walkthrough would be appreciated.
2) the closest I got was using anaconda conda install -c conda-forge openblas, then copy-pasting "include" directories from xtl,xtensor,xtensor-blas to my project. My CMakeLists.txt:

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ANSWER

Answered 2021-Mar-31 at 08:28

Disclaimer: I'm far from a Windows expert (I just use it in Continuous Integration for testing).

You should be able to use the target provided by xtensor-blas. So what should be possible is to do (on any platform):

Source https://stackoverflow.com/questions/66874119

QUESTION

xtensor : How to write an vector to an array

Asked 2021-Mar-03 at 08:02

What is the equivalent in xtensor or the most optimized way to write a vector to an array.

Thanks

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ANSWER

Answered 2021-Mar-03 at 08:02

The easiest way is

Source https://stackoverflow.com/questions/66429404

QUESTION

Matrix multiplication in c++ in Android Studio

Asked 2021-Feb-10 at 12:11

I'm trying to do matrix multiplication in Android Studio and want to use c++ for the speed benefit. I found the library xtensor and think that it will be useful but I cant get working. I tried putting the header files into the cpp folder but then they dont have access to the base library dependencies and I've been researching for hours now but I couldn't find out exactly what to write in the CMakeLists.txt and how libraries are actually meant to be installed. I'm sorry if this is really obvious but I can't really wrap my head around it.

How can I install the xtensor library in android studio or is there some other way? I wanted to avoid using for loops for the calculation but if there's no other possibility I guess I have to..

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ANSWER

Answered 2021-Feb-10 at 12:11

How can I install the xtensor library in android studio or is there some other way? I wanted to avoid using for loops for the calculation but if there's no other possibility I guess I have to..

xtensor project is based on cmake which is supported by AndroidStudio(gradle) so you can easily use it for NDK build.

It takes just a few steps to integrate xtensor into your project (without installing it into the system):

Fetch xtensor and xtl (xtensor depends on xtl) projects and add them to your root cmake, for example:

Source https://stackoverflow.com/questions/66122332

QUESTION

How to: Extend C++14 template function to variadic template, arguments

Asked 2020-Oct-14 at 05:35

I'm a returning C++ programmer who has been away from the language for several years (C++11 had just started gaining real traction when I was last active in the language). I've been actively developing data science apps in Python for the past few. As a learning exercise to get back up to speed I decided to implement Python's zip() function in C++14 and now have a working function that can take any two STL (and a few others) containers holding any types and "zip" them into a vector of tuples:

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ANSWER

Answered 2020-Oct-14 at 05:35

Variadic templates have a mechanism not too dissimilar to Python's ability to pass a function positional arguments and to then expand those positional arguments into a sequence of values. C++'s mechanism is a bit more powerful and more pattern based.

So let's take it from the top. You want to take an arbitrary series of ranges (containers is too limiting):

Source https://stackoverflow.com/questions/64346603

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