pytorch | Python wrappers for torch and lua

by hughperkins Python Version: v4.1.0 License: BSD-2-Clause

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | pytorch Summary

pytorch is a Python library typically used in Programming Style applications. pytorch has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. However pytorch has 1 bugs. You can download it from GitHub.

Python wrappers for torch and lua

Support

Quality

Security

License

Reuse

Support

pytorch has a highly active ecosystem.

It has 424 star(s) with 71 fork(s). There are 30 watchers for this library.

It had no major release in the last 12 months.

There are 22 open issues and 22 have been closed. On average issues are closed in 29 days. There are no pull requests.

It has a positive sentiment in the developer community.

The latest version of pytorch is v4.1.0

Quality

pytorch has 1 bugs (0 blocker, 0 critical, 1 major, 0 minor) and 198 code smells.

Security

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

pytorch code analysis shows 0 unresolved vulnerabilities.

There are 1 security hotspots that need review.

License

pytorch 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

pytorch releases are available to install and integrate.

Build file is available. You can build the component from source.

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

pytorch saves you 553 person hours of effort in developing the same functionality from scratch.

It has 1293 lines of code, 89 functions and 19 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed pytorch and discovered the below as its top functions. This is intended to give you an instant insight into pytorch implemented functionality, and help decide if they suit your requirements.

Train the MNIST model
Load a Lua class
Get the next object id
Return a new class with the given name
Handles torch type
Pushes a global field
Pops a string from the lua

Get all kandi verified functions for this library.

pytorch Key Features

No Key Features are available at this moment for pytorch.

pytorch Examples and Code Snippets

No Code Snippets are available at this moment for pytorch.

Community Discussions

Trending Discussions on pytorch

How to calculate the f1-score?

How to perform bicubic upsampling of image using pytorch?

Force BERT transformer to use CUDA

Is it possible to combine 2 neural networks?

UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach()

I'm getting module 'cv2.cv2' has no attribute 'legacy' ERROR. How can I fix it?

No module named 'torch'

numpy equivalent code of unsqueeze and expand from torch tensor method

Pytorch CPU CUDA device load without gpu

Pytorch Inferencing form the model is giving me different results every time

QUESTION

How to calculate the f1-score?

Asked 2021-Jun-14 at 07:07

I have a pyTorch-code to train a model that should be able to detect placeholder-images among product-images. I didn't write the code by myself as I am very unexperienced with CNNs and Machine Learning.

My boss told me to calculate the f1-score for that model and i found out that the formula for that is ((precision * recall)/(precision + recall)) but I don't know how I get precision and recall. Is someone able to tell me how I can get those two parameters from that following code? (Sorry for the long piece of code, but I didn't really know what is necessary and what isn't)

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ANSWER

Answered 2021-Jun-13 at 15:17

You can use sklearn to calculate f1_score

Source https://stackoverflow.com/questions/67959327

QUESTION

How to perform bicubic upsampling of image using pytorch?

Asked 2021-Jun-13 at 12:16

I have png image. I want to upsample it using bicubic interpolation. I found this function in pytorch:

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ANSWER

Answered 2021-Jun-13 at 12:16

You can do this

Source https://stackoverflow.com/questions/67957965

QUESTION

Force BERT transformer to use CUDA

Asked 2021-Jun-13 at 09:57

I want to force the Huggingface transformer (BERT) to make use of CUDA. nvidia-smi showed that all my CPU cores were maxed out during the code execution, but my GPU was at 0% utilization. Unfortunately, I'm new to the Hugginface library as well as PyTorch and don't know where to place the CUDA attributes device = cuda:0 or .to(cuda:0).

The code below is basically a customized part from german sentiment BERT working example

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ANSWER

Answered 2021-Jun-12 at 16:19

You can make the entire class inherit torch.nn.Module like so:

Source https://stackoverflow.com/questions/67948945

QUESTION

Is it possible to combine 2 neural networks?

Asked 2021-Jun-13 at 00:55

I have a NET like (exemple from here)

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ANSWER

Answered 2021-Jun-07 at 14:26

The most naive way to do it would be to instantiate both models, sum the two predictions and compute the loss with it. This will backpropagate through both models:

Source https://stackoverflow.com/questions/67872719

QUESTION

UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach()

Asked 2021-Jun-12 at 23:00

I'm new on PyTorch and I'm trying to code with it so I have a function called OH which tack a number and return a vector like this

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ANSWER

Answered 2021-Apr-30 at 23:19

the problem is that you are receiving a tensor on the act function on the Network and then save it as a tensor just remove the tensor in the action like this

Source https://stackoverflow.com/questions/67341208

QUESTION

I'm getting module 'cv2.cv2' has no attribute 'legacy' ERROR. How can I fix it?

Asked 2021-Jun-12 at 19:35

This is my code: import numpy as np import cv2 import pickle

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ANSWER

Answered 2021-Jun-12 at 19:32

I remember getting this error a while back.

In your CMD prompt run these three commands and then try to run your program again.

pip3 install opencv-python==4.4.0.46
pip3 install opencv-contrib-python==4.4.0.46
pip3 install opencv-contrib-python-headless==4.4.0.46

The version specifics may not be necessary but it's what worked last for me.

Source https://stackoverflow.com/questions/67942853

QUESTION

No module named 'torch'

Asked 2021-Jun-12 at 04:25

I'm trying to solve this Error: ModuleNotFoundError: No module named 'torch' I did the installation of Pytorch using this command: conda install pytorch -c pytorch but when I import torch I got the message above.

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ANSWER

Answered 2021-Jun-09 at 20:40

Do you have two Python versions installed on your machine?

The error says it could not find the module, maybe it was installed in another version. If that is the case, try to open your python folder where conda.exe is located and run directly especifying that conda file.

Source https://stackoverflow.com/questions/67911289

QUESTION

numpy equivalent code of unsqueeze and expand from torch tensor method

Asked 2021-Jun-11 at 14:29

I have these 2 tensors

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ANSWER

Answered 2021-May-04 at 15:20

solved it

Source https://stackoverflow.com/questions/67387383

QUESTION

Pytorch CPU CUDA device load without gpu

Asked 2021-Jun-11 at 12:41

I found this nice code Pytorch mobilenet which I cant get running on a CPU. https://github.com/rdroste/unisal

I am new to Pytorch so I am not shure what to do.

In line 174 of the module train.py the device is set:

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ANSWER

Answered 2021-Jun-11 at 08:55

In https://pytorch.org/tutorials/beginner/saving_loading_models.html#save-on-gpu-load-on-cpu you'll see there's a map_location keyword argument to send weights to the proper device:

Source https://stackoverflow.com/questions/67934005

QUESTION

Pytorch Inferencing form the model is giving me different results every time

Asked 2021-Jun-11 at 09:55

I have created and trained one very simple network in pytorch as shown below:

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ANSWER

Answered 2021-Jun-11 at 09:55

I suspect this is due to you not having set the model to inference mode with

Source https://stackoverflow.com/questions/67934643

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

Vulnerabilities

No vulnerabilities reported

Install pytorch

You can download it from GitHub.
You can use pytorch 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.