PYNQ | Python Productivity for ZYNQ

 by   Xilinx Jupyter Notebook Version: 3.0.1 License: BSD-3-Clause

kandi X-RAY | PYNQ Summary

kandi X-RAY | PYNQ Summary

PYNQ is a Jupyter Notebook library typically used in Embedded System applications. PYNQ has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

PYNQ is an open-source project from Xilinx that makes it easy to design embedded systems with Zynq All Programmable Systems on Chips (APSoCs). Using the Python language and libraries, designers can exploit the benefits of programmable logic and microprocessors in Zynq to build more capable and exciting embedded systems. PYNQ users can now create high performance embedded applications with. See the PYNQ webpage for an overview of the project, and find documentation on ReadTheDocs to get started.
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            kandi-support Support

              PYNQ has a medium active ecosystem.
              It has 1671 star(s) with 763 fork(s). There are 131 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 24 open issues and 410 have been closed. On average issues are closed in 285 days. There are 12 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of PYNQ is 3.0.1

            kandi-Quality Quality

              PYNQ has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              PYNQ 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.

            kandi-Reuse Reuse

              PYNQ releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of PYNQ
            Get all kandi verified functions for this library.

            PYNQ Key Features

            No Key Features are available at this moment for PYNQ.

            PYNQ Examples and Code Snippets

            Properly converting float64 to 16bit fixed point for PYNQ
            Pythondot img1Lines of Code : 12dot img1License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            np.round(data_in*2**15).astype(np.int16) # returns -16384
            np.round(data_in*2**15).astype(np.uint16) # returns 49152
            
            from fxpmath import Fxp
            
            #...
            
            data_in_fxp = Fxp(data_in, dtype='fxp-s16/15') # or dtype='S1.15'
            
            
            Python For loop different syntax
            Pythondot img2Lines of Code : 13dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            leds = []
            for index in range(MAX_LEDS):
                leds.append(base.leds[index])
            
            leds = [base.leds[index] for index in range(MAX_LEDS)]
            
            leds = []
            for index in range(MAX_LEDS):
                if 'green' in ba

            Community Discussions

            QUESTION

            Using migen or chisel HDL languages on pynq FPGA boards
            Asked 2021-Nov-25 at 15:16

            I am currently using the pynq-z2 FPGA eval board manufactured by TUL to design applications. It has a Processor+FPGA SoC Zynq7020 on it. The pynq python package allows us to interact with the PS and PL quite well via jupyter notebooks.

            I wanted to know if we could write the verilog codes for the PL in the new languages like migen 1 and chisel on pynq supported boards. Currently I am writing VHDL/verilog files in Vivado and creating IPs and circuit design in PL.

            More info about migen: https://m-labs.hk/migen/manual/introduction.html

            More info about chisel: https://www.chisel-lang.org/chisel3/docs/introduction.html

            ...

            ANSWER

            Answered 2021-Nov-25 at 15:16

            In short : Yes of course.

            Migen and Chisel generate Verilog backend RTL source for synthesis. And for hard template you can use mechanisms like Blackbox in Chisel.

            You can also Litex which is based on Migen and have lots of core to drive DDR controllers, PCIe, HDMI, ...

            Source https://stackoverflow.com/questions/70110576

            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:

            1. Convert floating point to fixed point
            2. Simple Fixed-Point Conversion in C
            3. The fxpmath library

            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

            Undefined reference to 'malloc' and more
            Asked 2020-Sep-07 at 10:06

            When I try to complile the dhrystone benchmark, it shows the following errors:

            ...

            ANSWER

            Answered 2020-Sep-07 at 10:06

            When you use nostdlib, the compiler not use the standard system startup files or libraries when linking.
            https://gcc.gnu.org/onlinedocs/gcc/Link-Options.html
            The only library you are linking against by using your command line is libgcc, but you are using functions from libc. you need to add -lc and most likely -lgloss. be careful with circular dependencies ( --start-group --end-group).
            You can add the -v option and compile a minimalist example with the default options to see how it is done by default.
            If there is no reason why you cannot use libc and libgloss by default, it is better to remove nostdlib option.

            To compile your example try:

            Source https://stackoverflow.com/questions/63716838

            QUESTION

            Linux Kernel Module Cheat - Qemu Baremetal Xilinx Zynq A9
            Asked 2020-Feb-22 at 16:12

            My goal is to emulate the ARM A9 processor as found on the Zynq-7000, running baremetal software.  I have tried 2 different approaches to this and run into road blocks on both.  Any suggestions on how to proceed would be appreciated.

            Current answers on StackOverflow:

            which links to
            Linux Kernel Module Cheat (LKMC, using v3.0)
            built using ./build --arch arm qemu-baremetal

            The examples on the site of using the ARM virtual machine (-virt flag) work fine. Trying to modify this to work with my setup is what's causing problems (details below).

            I tried to copy the example command line invocation, but with the -cpu cortex-a9 option instead:
            qemu-system-arm: mach-virt: CPU cortex-a9 not supported
            Then I changed the whole invocation to be
            qemu-system-arm -M xilinx-zynq-a9 -cpu cortex-a9 -nographic -kernel hello.elf -m 512M -serial mon:stdio -s -S
            And it crashed with the error
            qemu: fatal: Trying to execute code outside RAM or ROM at 0x40000000
            Which makes sense, because the application was built with the LKMC, and I was trying to run it outside of that framework.

            So then I tried running my own application, which was compiled using a modified version of the Xilinx toolchain. I'm sure it won't work right away, as there will be some parts of the bootup sequence that I have to change. But I'm trying to figure out what those are and change them. Running with
            qemu-system-arm -M xilinx-zynq-a9 -cpu cortex-a9 -nographic -kernel helloworld.elf -m 512M -serial mon:stdio -s -S
            allows GDB to connect successfully, but it can't read the symbol table properly. Using
            arm-none-eabi-objdump -D helloworld.elf
            tells me that main is at 0x001004fc, but GDB thinks it's at 0x40000324 (using the command info address main).

            My work so far

            The PYNQ-Z1 (webpage, datasheet) has a 32-bit ARM Cortex-A9 processor, so that's why I'm using qemu-system-arm instead of qemu-system-aarch64. Someone can correct me if that's wrong.

            As a note, I cannot simply switch to a different architecture; the code that I am using cannot tolerate changes other than small tweaks to make the Board Support Package (BSP) compatible with the simulator, without harming the validity of my research.

            What I have been going off of for a while now is
            ./run --arch arm -m 512M --baremetal pynq/helloworld --wait-gdb
            ./run-gdb --arch arm --baremetal pynq/helloworld --no-continue -- main
            and I step through using GDB to find where there are data aborts and figure out what kind of hardware is not supported by Qemu.

            The software that I am running is built using a modified Xilinx toolchain, and so includes many of the Xilinx standard library functions.  In modifying the code to work with the virtual machine, I have discovered a few changes so far, such as changing the address of the UART device and disabling some boot-up tasks such as invalidating the SCU or changing the cache controller configuration, presumably because these things are not emulated by Qemu.

            When debugging bootup, the next problem I have run into booting up is the XTime functions (xtime_l.c).  These functions are wrappers around reading the global system timer.  The results of the command info mtree in the Qemu interface seem to indicate that there is no global timer device with which to interact.  Is there a way to add a timer device to the ARM virtual machine? It doesn't matter what the base address is, as long as it can be used in the same way as on the Zynq, using register reads and writes.

            Then I tried to use the specific machine flag xilinx-zynq-a9.  LKMC generates the following command:

            ...

            ANSWER

            Answered 2020-Feb-22 at 16:12
            1. This is probably a non-trivial task than to add support for a timer device to an existing QEMU machine. More specifically, this may not be needed since a fair amount of them either support an ARM architectural timer or a specific timer hardware.

              In the specific case of the xilinx-zynq-a9, it seem the Global Timer Counter described from page 1448 of the Zynq-7000 Technical Reference Manual is supported.
            2. After having reading your post a couple of times, I reached the conclusion that a lot of things may go wrong with the set of tools you are using (KMC, toolchain, QEMU). I therefore created what I hope is a Minimal, Reproducible Example of a bare-metal application working with a QEMU xilinx-zynq-a9 machine using an arm toolchain I do trust, and the latest version of QEMU, 4.2.0, built from scratch using a script I wrote.

            Please note that I adapted an existing personal project I already had available, and I know is working, for the purpose of answering your question.

            Building QEMU: execute build-qemu.sh - this script works on 64 bits Ubuntu 18.04 and 19.10, you will have to set PERL_MODULES_VERSION to 5.28.

            build-qemu.sh:

            Source https://stackoverflow.com/questions/60344994

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

            Vulnerabilities

            No vulnerabilities reported

            Install PYNQ

            See the Quickstart guide for details on writing the image to an SD card, and getting started with a PYNQ-enabled board.

            Support

            Starting from PYNQ version 2.5.1, Alveo support has also been introduced. It is now possible to use PYNQ to tap into the potential of hardware acceleration in the data center space.
            Find more information at:

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            Install
          • PyPI

            pip install pynq

          • CLONE
          • HTTPS

            https://github.com/Xilinx/PYNQ.git

          • CLI

            gh repo clone Xilinx/PYNQ

          • sshUrl

            git@github.com:Xilinx/PYNQ.git

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