layer2 | Toy framework for creating a VPN

by vmt C Version: Current License: BSD-2-Clause

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kandi X-RAY | layer2 Summary

layer2 is a C library. layer2 has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

$ ./layer2 < config.conf. layer2 reads the STDIN for configuration specifications.

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Support

layer2 has a low active ecosystem.

It has 12 star(s) with 7 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of layer2 is current.

Quality

layer2 has no bugs reported.

Security

layer2 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

layer2 is licensed under the BSD-2-Clause License. This license is Permissive.

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

Reuse

layer2 releases are not available. You will need to build from source code and install.

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

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layer2 Key Features

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layer2 Examples and Code Snippets

No Code Snippets are available at this moment for layer2.

Community Discussions

Trending Discussions on layer2

Tensorflow ValueError: Dimensions must be equal: LSTM+MDN

No gradients provided for any variable - LSTM autoencoder

Random lag spikes with pygame parallax background

ellipsis when inserting list into same list

SVG: Showing average color for overlapping shapes

Setting constraints for parameters in pytorch

Pytorch: File-specific action for each image in the batch

how can I load pretrained model by pytorch? ( mmfashion)

Apply hooks on inner layers of ResNet

PyTorch NN : RuntimeError: mat1 dim 1 must match mat2 dim 0

QUESTION

Tensorflow ValueError: Dimensions must be equal: LSTM+MDN

Asked 2021-Jun-14 at 19:07

I am trying to make a next-word prediction model with LSTM + Mixture Density Network Based on this implementation(https://www.katnoria.com/mdn/).

Input: 300-dimensional word vectors*window size(5) and 21-dimensional array(c) representing topic distribution of the document, used to train hidden initial states.

Output: mixing coefficient*num_gaussians, variance*num_gaussians, mean*num_gaussians*300(vector size)

x.shape, y.shape, c.shape with an experimental 161 obserbations gives me such:

(TensorShape([161, 5, 300]), TensorShape([161, 300]), TensorShape([161, 21]))

...

ANSWER

Answered 2021-Jun-14 at 19:07

for MDN model , the likelihood for each sample has to be calculated with all the Gaussians pdf , to do that I think you have to reshape your matrices ( y_true and mu) and take advantage of the broadcasting operation by adding 1 as the last dimension . e.g:

Source https://stackoverflow.com/questions/67965364

QUESTION

No gradients provided for any variable - LSTM autoencoder

Asked 2021-Jun-09 at 19:28

I'm trying to build an LSTM encoder. I'm testing it on the MNIST dataset to check any errors before using it on my actual dataset. My code:

...

ANSWER

Answered 2021-Jun-09 at 19:28

You need to pass x_train and y_train into the fit statement.

Source https://stackoverflow.com/questions/67909447

QUESTION

Random lag spikes with pygame parallax background

Asked 2021-Jun-09 at 07:38

I'm trying to make a platformer with a parallax background. I managed the code and also made sure to add .convert. It is running pretty well for the most part, but every now and then there are periodic lag spikes.

...

ANSWER

Answered 2021-Jun-09 at 07:38

Do not load the images in the application loop. Loading an image is very time consuming because the image file has to be read and interpreted. Load the images once at the begin of the application:

Source https://stackoverflow.com/questions/67899564

QUESTION

ellipsis when inserting list into same list

Asked 2021-May-29 at 01:29

I was trying to find a solution to a question when I came across this problem. I was trying to insert a list into the same list using insert. But I'm getting a ... where the new list should be.

Inserting same list

...

ANSWER

Answered 2021-Apr-24 at 04:50

When you insert [1, 2, 3, 4] into itself, what you really have is:

Source https://stackoverflow.com/questions/67239386

QUESTION

SVG: Showing average color for overlapping shapes

Asked 2021-May-26 at 07:29

This is different from Using SVG for additive color mixing (additive blending), which is talking specifically about additive blending. For that it's as easy as setting mix-blend-mode: screen. As far as I'm aware, there is no mix-blend-mode to average colors. The answer to this probably does involve using Filters, as mentioned in an answer there; but how is the question?

I'm making an app where you view some SVG data. The SVG has layers that are different colors which contain various shapes/paths. The colors of the layers and the shapes/paths are input and vary.

An example SVG might look like:

...

ANSWER

Answered 2021-May-26 at 07:29

If you are up to hacky things you can pair two mix-blend-mode exclusion & multiply

Source https://stackoverflow.com/questions/67591353

QUESTION

Setting constraints for parameters in pytorch

Asked 2021-May-23 at 13:21

I am trying to set some constraints for weight parameters in PyTorch, e.g. the sum of every row of the weight matrix be exactly one for a fully connected layer:

...

ANSWER

Answered 2021-May-23 at 13:21

A way I can think about is for example to normalize the vector of your choosing by its norm, which will give its direction, with size 1.

Source https://stackoverflow.com/questions/67657700

QUESTION

Pytorch: File-specific action for each image in the batch

Asked 2021-May-18 at 19:38

I have a dataset of images each of them having an additional attribute "channel_no". Each image should be processed with the nn layer according to its channel_no:

...

ANSWER

Answered 2021-May-18 at 19:38

To process images separately you probably need separate tensors. I'm not sure if there's a fast way to do it, but you could split the tensor in the batch dimension to get individual image tensors and then iterate through them to sort them by channel number. Then join each group of images with the same channel number into a new tensor and process that tensor specially.

Source https://stackoverflow.com/questions/67591570

QUESTION

how can I load pretrained model by pytorch? ( mmfashion)

Asked 2021-May-17 at 17:07

import io

import torch
import torch.nn as nn
from torchvision import models
from PIL import Image
import torchvision.transforms as transforms

checkpoint_path = 'C:/venvs/ai/aiproduct/latest.pth'
pretrained_weights = torch.load(checkpoint_path, map_location='cpu', strict=False)

model = models.resnet50(pretrained=True)
model.load_state_dict(pretrained_weights)

...

ANSWER

Answered 2021-May-17 at 17:07

Lets say if you downloaded weights for wide_resnet50_2 and you performing same task that the weights you downloaded trained then:

Source https://stackoverflow.com/questions/67572091

QUESTION

Apply hooks on inner layers of ResNet

Asked 2021-May-15 at 09:09

The pytorch official implementation of resnet results in the following model:

...

ANSWER

Answered 2021-May-15 at 09:09

For attaching a hook to conv1 in layer2's 0th block, you need to use

Source https://stackoverflow.com/questions/67544726

QUESTION

PyTorch NN : RuntimeError: mat1 dim 1 must match mat2 dim 0

Asked 2021-May-11 at 20:01

I'm new to the Neural Network domain and I have stuck on a problem.

I'm trying to create a NN with dropout with 0.1 probability for the hidden fully connected layer.

When I code like below:

...

ANSWER

Answered 2021-May-11 at 20:01

In layer 3

Source https://stackoverflow.com/questions/67493202

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

Vulnerabilities

No vulnerabilities reported

Install layer2

You can download it from GitHub.

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