lastlayer | Towards Hardware and Software Continuous Integration

by uwsampl Rust Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(7)Vulnerabilities Install Support

kandi X-RAY | lastlayer Summary

lastlayer is a Rust library typically used in Simulation applications. lastlayer has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

LastLayer is an open-source tool that enables hardware and software continuous integration and simulation. Compared to traditional testing approaches based on the register transfer level (RTL) abstraction, LastLayer provides a mechanism for testing Verilog designs with any programming language that supports the C foreign function interface (CFFI). Furthermore, it supports a generic C interface that allows external programs convenient access to storage resources such as registers and memories in the design as well as control over the hardware simulation. Moreover, LastLayer achieves this software integration without requiring any hardware modification and automatically generates language bindings for these storage resources according to user specification. Using LastLayer, we evaluated two representative integration examples: a hardware adder written in Verilog operating over NumPy arrays, and a ReLu vector-accelerator written in Chisel processing tensors from PyTorch.

Support

Quality

Security

License

Reuse

Support

lastlayer has a low active ecosystem.

It has 10 star(s) with 2 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of lastlayer is current.

Quality

lastlayer has no bugs reported.

Security

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

License

lastlayer is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

Installation instructions are available. Examples and code snippets are not 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 lastlayer

Get all kandi verified functions for this library.

lastlayer Key Features

No Key Features are available at this moment for lastlayer.

lastlayer Examples and Code Snippets

No Code Snippets are available at this moment for lastlayer.

Community Discussions

Trending Discussions on lastlayer

One-Hot-Encode only integers, slices( `:`), ellipsis( `...`), numpy.newaxis(`None`) and integer or boolean arrays ar valid indicies problem

Decode raw Scapy data to human readable

Pass the outputs of the shared layer to a layer

JCuda access violation when creating a texture object with the driver API

Neural network back propagation fails to overfit small data

Tensorflow: AttributeError: 'tuple' object has no attribute 'dtype'

Using GROUP BY after calling a stored procedure in MySQL

QUESTION

One-Hot-Encode only integers, slices( `:`), ellipsis( `...`), numpy.newaxis(`None`) and integer or boolean arrays ar valid indicies problem

Asked 2020-Jan-15 at 07:30

I'm trying to solve below problem through one-hot-encode, but error occured, too.

I'm trying to make image classification(catching rectangle), and when I try to let it one-hot-encode, the error occured. Before change into one_hot_label,
the labels like:

...

ANSWER

Answered 2020-Jan-15 at 07:30

To solve the one hot encoding problem you can use the following function.

Source https://stackoverflow.com/questions/59745907

QUESTION

Decode raw Scapy data to human readable

Asked 2019-Aug-09 at 18:23

I'm trying to switch to using Scapy instead of Wireshark, but am having trouble decoding the data I'm getting. In Wireshark I can easily see the last layer for filtered packets labeled as "Distributed Interactive Simulation", but in Scapy the last layer is "Raw". I'm trying to get the data from this layer in the same human readable format. So far I've gotten:

...

ANSWER

Answered 2019-Aug-09 at 18:23

First, you have an error in your script. raw = pkt.lastlayer() should be raw = packet.lastlayer().

Try adding print(packet.show()) to your script for a more readable format which will give you something similar to this:

Source https://stackoverflow.com/questions/52260329

QUESTION

Pass the outputs of the shared layer to a layer

Asked 2019-May-20 at 05:55

I am working on a problem where I have to create a list of same shared layer and pass it to another layer . so I used the for loop and added to a list. Then I have to pass those out puts to another layer. List can't be passed to another layer. How to execute this ?

...

ANSWER

Answered 2019-May-20 at 05:55

you could simply use keras.layers.Concatenate, concatenate layer concatenates a list of inputs.

Source https://stackoverflow.com/questions/56208056

QUESTION

JCuda access violation when creating a texture object with the driver API

Asked 2018-May-15 at 05:36

I have a JCuda project that's encountering an access violation whenever it tries to create a texture object using the driver API. Java HotSpot claims that the error is coming from nvcuda.dll.

The underlying CUarray from which the texture is being created seems to be populated correctly; copying its contents back into a host-side float array results in an array that's identical to the initial host-side data. That means that the error itself has to be something in the texture declaration, right?

Running the code using cuda-memcheck reveals no errors.

Here is the code that's encountering the error:

...

ANSWER

Answered 2018-May-15 at 05:36

The reason for this access violation was a bug in JCuda 0.9.0.

The texture handle was erroneously passed to the native function as a NULL pointer. This is fixed in this commit, and the fix will be part of the next release.

A test case based on the code in the question has been added.

Update: This issue is fixed in JCuda 0.9.0d.

Source https://stackoverflow.com/questions/49039753

QUESTION

Neural network back propagation fails to overfit small data

Asked 2018-May-07 at 11:56

I'm trying to implement neural network with back propagation algorithm in Racket. To test the implementation, I decided to train it on a very small data for large amount of iterations, and see if it fits the data it was trained on. However it does not -- using the sigmoid function it outputs extremely small values (of the magnitude of -20), but relative values is correct (that is, the input vector with biggest target value also produces the biggest value in the trained network). Using relu function, the outputs by their magnitued are closer to desired, but incorrect relative to each other. I'd be glad to receive any insight, on why it is so.

...

ANSWER

Answered 2018-May-07 at 11:56

The issue was in the recursive call of the backpropogation function --

(let ([next-layer-d (backpropagation (rest layers) output targets activation)])

Output here is the output of current layer before activation function, however it should've been after.

Source https://stackoverflow.com/questions/50005317

QUESTION

Tensorflow: AttributeError: 'tuple' object has no attribute 'dtype'

Asked 2017-Nov-21 at 03:29

What's going on here?

The code:

...

ANSWER

Answered 2017-Nov-21 at 03:29

This line sets lastLayer equal to a tuple:

Source https://stackoverflow.com/questions/47404455

QUESTION

Using GROUP BY after calling a stored procedure in MySQL

Asked 2017-May-17 at 18:00

I want to do something like this:

...

ANSWER

Answered 2017-May-16 at 18:42

Your function need to return a set of records.

Source https://stackoverflow.com/questions/44008391

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

Vulnerabilities

No vulnerabilities reported

Install lastlayer

The tool will build Verilator from source and install PyTorch and NumPy with Miniconda. See build.rs.
Install rust curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
Install wget flex bison autoconf g++ make git sbt sbt is only needed for the ReLu/PyTorch example, because ReLu is designed in Chisel
Build everything cargo build.

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 .

Find more information at: