pynq | Python implementation of Microsoft 's .Net Language | Database library
kandi X-RAY | pynq Summary
kandi X-RAY | pynq Summary
Python implementation of Microsoft's .Net Language Integrated Query (LINQ)
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Top functions reviewed by kandi - BETA
- Parse a query
- Calculate the average value of a query
- Partition a collection by group expression
- Parse a select query
- Get attribute expression
- Advance the next token
- Return an expression
- Return an expression
- Return negative expression
- Create a binary expression
- Return a led expression
- Creates a new binary expression
- Construct a substraction expression
- Create a led expression
- Return a binary expression that is less than left
- Create a binary expression that is less than left or equal to left
- Return a unary expression
- Create a new expression expression
pynq Key Features
pynq Examples and Code Snippets
Community Discussions
Trending Discussions on pynq
QUESTION
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 13:04I 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.
QUESTION
When I try to complile the dhrystone benchmark, it shows the following errors:
...ANSWER
Answered 2020-Sep-07 at 10:06When 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:
QUESTION
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
).
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- 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 theGlobal Timer Counter
described from page 1448 of the Zynq-7000 Technical Reference Manual is supported. - 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
:
QUESTION
I am currently developing an AES encryption core for a Pynq-Z1 FPGA board. I would like to see the routing of the logic in FPGA logic and timing summary of the design.
The project synthesises, but it results in a warning saying that I am using exceeding the number of IOB blocks on the package. This is understandable because the core takes in and outputs a 4 x 4 matrix.
Instead, I would like to have "internal I/O" in order to see the routing on FPGA fabric. How would I go about doing this? Currently, the device view shows an empty topology (shown below) but my synthesised design utilises 4148 LUT and 389 FF. I expect to see some CLBs highlighted.
I appreciate any feedback and reference to any application notes which might further progress my FPGA understanding.
Cheers
...ANSWER
Answered 2018-Jun-28 at 12:41Your demands are contradictory.
If the design can not place all the I/Os it can not show all the routing as it has not all the begin and/or endpoints. You should reduce your I/O.
The simplest way is to have a real or imaginary interface which much less pins.
An imaginary interface is one which is syntactically correct, reduces your I/Os but will never be used in real life so does not have to be functionally correct.
As it happens you are the third person to ask about reducing I/O in the last weeks and I posted an (untested) SPI interface which has a parameter to generate an arbitrary number of internal inputs and outputs. You can find it here: How can I assign a 256-bit std_logic_vector input
QUESTION
In the device tree I am using, in one of its node, the filed interrupts
is:
ANSWER
Answered 2018-Feb-07 at 14:50What are exactly the <0x0 0x1d 0x4> numbers? I know that, in according to elinux.org, (interrupts = <0x0 0x1d 0x4>;)
Firstly you need to look at the interrupt-parent of the device node, this parent will #interrupt-cells property which specifies number of bits needed to encode a interrupt source, so from your entry interrupts = <0x0 0x1d 0x4>; means the following:
QUESTION
First of all, this question is related to the creation of embedded Operating System and, to be exact, with Linux Kernel + u-boot + FSBL + device tree + FS compiled to run on an arm A9.
Context:
After booting this (just created) OS upon a Zynq device (specifically, a Pynq Board), the Uart gives these messages:
...ANSWER
Answered 2018-Feb-01 at 11:59Refer link, if zynq_artyz7_defconfig
used for your pynq board yes, look into the makefile depending on what command you give to build, also you need to look CONFIG_SPL_FS_LOAD_PAYLOAD_NAME in include/configs/zynq-common.h
QUESTION
I have parsed the JSON with json.load. Now I want to query that JSON dict using SQL-like commands. Does anything exist like this in Python? I tried using Pynq https://github.com/heynemann/pynq but that didn't work too well and I've also looked into Pandas but not sure if that's what I need.
...ANSWER
Answered 2017-Jun-01 at 19:31Here is a simple pandas example with Python 2.7 to get you started...
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Install pynq
You can use pynq like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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