xfft | High optimized fft library based on CUDA | GPU library

by XiuYuLi C Version: Current License: No License

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kandi X-RAY | xfft Summary

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

High optimized fft library based on CUDA(the same fast as cufft and faster some times)

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Quality

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Support

xfft has a low active ecosystem.

It has 18 star(s) with 8 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

xfft has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of xfft is current.

Quality

xfft has no bugs reported.

Security

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

License

xfft does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

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xfft Key Features

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xfft Examples and Code Snippets

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Community Discussions

Trending Discussions on xfft

Properly converting float64 to 16bit fixed point for PYNQ

Unable to read json response from requests library

YAML file through http GET and gitlab api

QUESTION

Properly converting float64 to 16bit fixed point for PYNQ

Asked 2021-May-06 at 13:04

I need to convert a float64 value into a fixed point <16,15> (16 bit with 15 bit in the fractional part and 1 in the integer part).

I have already read many solutions:

However I have not really understood the "type" I need in my specific case.

To explain this better, I have implemented a code that generates a simple sine wave inside PYNQ (the Xilinx framework based on Python):

...

ANSWER

Answered 2021-May-06 at 13:04

I suppose that FFT expects ap_fixed<16,15>, where MSB is the sign bit. In your example you have signed samples (because sinusoidal between -1.0 and 1.0), so your casting must be int (signed int). But if you need a two-complement representation of signed int, it's right if you cast with uint. In both cases, cast with 16 bits is enough.

Source https://stackoverflow.com/questions/66852594

QUESTION

Unable to read json response from requests library

Asked 2019-Jun-17 at 20:05

I'm doing a post request to a website and trying to read the response it gives me back. However, when I try to read the response it's not readable. I don't know if this matters, but I am also in a session with the website.

I have tried converting the response to ascii by using resp.decode("utf-8"), using resp.json(), and resp.text. None of which have worked and result in either unreadable text or an error saying it's was unable to decode it. I have made sure that I'm getting a 200 response code and that the return headers state that the content-type is application/json.

...

ANSWER

Answered 2019-Jun-17 at 20:05

The problem is that application-type doesn't dictated the encoding type. The response headers define the encoding type via this response "accept-encoding" : "br".

To decode the response I used the following code: brotli.decompress(resp.content)

The resp variable is the response from the website.

Source https://stackoverflow.com/questions/56623142

QUESTION

YAML file through http GET and gitlab api

Asked 2017-May-01 at 22:00

So I'm try to use the gitlab api to pull my CI job artifacts file. This is the URL:

...

ANSWER

Answered 2017-May-01 at 22:00

Downloading artifacts from GitLab gives you a .zip file - See the notes at the start of https://docs.gitlab.com/ce/user/project/pipelines/job_artifacts.html where it says:

Source https://stackoverflow.com/questions/43726250

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

Vulnerabilities

No vulnerabilities reported

Install xfft

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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