XRT | Xilinx Run Time for FPGA

 by   Xilinx C Version: 202220.2.14.354 License: Non-SPDX

kandi X-RAY | XRT Summary

kandi X-RAY | XRT Summary

XRT is a C library typically used in Embedded System applications. XRT has no bugs, it has no vulnerabilities and it has low support. However XRT has a Non-SPDX License. You can download it from GitHub.

Xilinx Run Time for FPGA
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              XRT has a low active ecosystem.
              It has 447 star(s) with 408 fork(s). There are 39 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 77 open issues and 328 have been closed. On average issues are closed in 52 days. There are 11 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of XRT is 202220.2.14.354

            kandi-Quality Quality

              XRT has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              XRT 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

              XRT releases are available to install and integrate.

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            XRT Key Features

            No Key Features are available at this moment for XRT.

            XRT Examples and Code Snippets

            No Code Snippets are available at this moment for XRT.

            Community Discussions

            QUESTION

            Regex Finding all two three or four capitalized words in a section
            Asked 2021-Apr-25 at 21:09

            I wish to identify and then create a list in python all stocks (Capitalized Letters) mentioned here..

            The problem I have a large text doc with many areas containing 2 3 or 4 Capitalised letters however i only want to get the ones that precede a paragraph ending (stocks-to-watcch are in the following paragraph):

            i.e SE, SAM, PYPL, LAD, GLOB .....etc

            Not sure if non capturing groups is the way to go or whether I can do look behinds.. if I do non capturing groups to I was thinking something like this would work but it doesn't... any help greatly appreciated

            ...

            ANSWER

            Answered 2021-Apr-25 at 21:09

            Extract the substring between two strings:

            Source https://stackoverflow.com/questions/67256871

            QUESTION

            Typecasting uint8_t vector to ap_uint<128> openCL
            Asked 2021-Jan-19 at 14:15

            I am working on a project on Xilinx Vitis that I created a arrayA with

            ...

            ANSWER

            Answered 2021-Jan-19 at 13:58

            You can only reinterpret_cast arrays of char, signed char, unsigned char and std::byte, and uint8_t might not be an alias to one of those.

            You also need to ensure that the data is properly aligned to treat it as ap_uint<128>.

            Source https://stackoverflow.com/questions/65791363

            QUESTION

            MySQL query to order by time and return n rows after specific id
            Asked 2020-Aug-05 at 19:09

            I have a table in my database (versions: MariaDB 10.3.17, MySQL 5.7) as follows:

            ...

            ANSWER

            Answered 2020-Aug-05 at 10:59

            You need to select elements that have the timestamp value greater than your id timestamp, using a query like this:

            Source https://stackoverflow.com/questions/63263112

            QUESTION

            how to use torchaudio with torch xla on google colab tpu
            Asked 2020-Mar-30 at 11:01

            I'm trying to run a pytorch script which is using torchaudio on a google TPU. To do this I'm using pytorch xla following this notebook, more specifically I'm using this code cell to load the xla:

            ...

            ANSWER

            Answered 2020-Mar-30 at 11:01

            I tested using the notebook below; Getting Started with PyTorch on Cloud TPUs

            After changing the cell containing;

            FROM:

            Source https://stackoverflow.com/questions/60718831

            QUESTION

            Select phrases found in dictionary and return dataframe of doc_id and phrase
            Asked 2020-Mar-19 at 18:28

            I have a dictionary file of medical phrases and a corpus of raw texts. I'm trying to use the dictionary file to select the relevant phrases from the text. Phrases, in this case, are 1 to 5-word n-grams. In the end, I would like the selected phrases in a dataframe with two columns: doc_id, phrase

            I've been trying to use the quanteda package to do this but haven't been successful. Below is some code to reproduce my latest attempt. I'd appreciate any advice you have...I've tried a variety of methods but keep getting back only single-word matches.

            ...

            ANSWER

            Answered 2020-Mar-19 at 16:42

            If you want to match-multi word patterns from a dictionary, you can do so by constructing your dfm using ngrams.

            Source https://stackoverflow.com/questions/60759983

            QUESTION

            Global variables in PyQT5
            Asked 2020-Mar-04 at 08:04

            I have two main scripts for my pyQT5 gui. First the GUI file ("MSCVgui_script") then the run file ("guiRun".py). I when I run my run file the GUI crashes when I modify the variable "self.imageFiles1" in the funciton assingPics.

            What I do:

            1. run "guiRun.py"
            2. Select "Browse File"
            3. select folder from the pop up
            4. Close pop up
            5. select the check mark blue on the GUI
            6. Crash-> no error report The photo file paths are"C:\Users.....\Images\photo_Blue.jpg" names are "photo_Blue"

            runGui script below

            ...

            ANSWER

            Answered 2020-Mar-04 at 08:04

            imag = cv2.imread(imag, 0) returns a greyscale image so imag.data will be an ndarray containing height*width 8-bit integers instead of height*width*3 which is what is needed for QtGui.QImage(imag.data, imag.shape[1], imag.shape[0], QtGui.QImage.Format_RGB888). To load a color image use imag = cv2.imread(imag, 1) (or simply imag = cv2.imread(imag) since flag == 1 is the default).

            As an alternative you could just use the file name to initialize the QImage object instead of constructing an OpenCV image first.

            Source https://stackoverflow.com/questions/60511218

            QUESTION

            Why can't I use a std::tuple in a constexpr lambda function
            Asked 2020-Feb-05 at 14:16

            I have the following code:

            ...

            ANSWER

            Answered 2020-Feb-05 at 08:25

            std::tuple's assignment operators are not constexpr until c++20. If you avoid assignment operators and construct your tuples in-place then your code compiles:

            Source https://stackoverflow.com/questions/60071381

            QUESTION

            Does a `DataLoader` created from `ConcatDataset` create a batch from a different files, or a single file?
            Asked 2019-Oct-13 at 20:39

            I am working with multiple files, and multiple training samples in each file. I will use ConcatDataset as described here:

            https://discuss.pytorch.org/t/dataloaders-multiple-files-and-multiple-rows-per-column-with-lazy-evaluation/11769/7

            I need to have negative samples in addition to my true samples, and I need my negative samples to be randomly selected from all the training data files. So, I am wondering, would the returned batch samples just be a random consecutive chuck from a single file, or would be batch span across multiple random indexes across all the datafiles?

            If there are more details needed about what I am trying to do exactly, it's because I am trying to train over a TPU with Pytorch XLA.

            Normally for negative samples, I would just use a 2nd DataSet and DataLoader, however, I am trying to train over TPUs with Pytorch XLA (alpha was just released a few days ago https://github.com/pytorch/xla ), and to do that I need to send my DataLoader to a torch_xla.distributed.data_parallel.DataParallel object, like model_parallel(train_loop_fn, train_loader) which can be seen in these example notebooks

            https://github.com/pytorch/xla/blob/master/contrib/colab/resnet18-training-xrt-1-15.ipynb

            https://github.com/pytorch/xla/blob/master/contrib/colab/mnist-training-xrt-1-15.ipynb

            So, I am now limited to a single DataLoader, which will need to handle both the true samples, and negative samples that need to be randomly selected from all my files.

            ...

            ANSWER

            Answered 2019-Oct-13 at 20:39

            ConcatDataset is a custom class that is subclassed from torch.utils.data.Dataset. Let's take a look at one example.

            Source https://stackoverflow.com/questions/58367385

            QUESTION

            How do I make data orderly on the message box? python-tkinter
            Asked 2019-Oct-08 at 15:33

            My current goal is to display data onto a message box. As this picture shows, the data is all over the place, but if I send it to Excel it looks perfectly fine whereas the message box is just not even.

            How can I even out the displayed data on messagebox just to look like the excel?

            Here is my code:

            ...

            ANSWER

            Answered 2019-Oct-08 at 15:22

            I have good experience using pandas with tabulate and then inserting in Tkinter window with tkinterhtml.

            You have "stralign" and "numalign" in tabulate and even "floatfmt" for all sorts of formats and alignment while creating tables.

            example for usage:

            Source https://stackoverflow.com/questions/58289098

            QUESTION

            How to make mask from all contours with fillConvexPoly
            Asked 2019-Sep-19 at 14:08

            I'm trying to make a mask from contours. Here's my full df

            Here's a glimpse of first 7 rows

            ...

            ANSWER

            Answered 2019-Sep-19 at 14:08

            Solved it, the function I was actually looking for is fillPoly

            Replacing this line solves the problem

            Source https://stackoverflow.com/questions/57995811

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

            Vulnerabilities

            No vulnerabilities reported

            Install XRT

            You can download it from GitHub.

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