encoder_decoder | Four styles of encoder decoder model | Messaging library

by jacoxu Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | encoder_decoder Summary

encoder_decoder is a Python library typically used in Messaging, Pytorch, Tensorflow, Neural Network applications. encoder_decoder has no bugs, it has no vulnerabilities and it has low support. However encoder_decoder build file is not available. You can download it from GitHub.

The suggested version of Keras is 0.3.3 or 0.3.2 rather than 1.0.0 and the lasted version, for some old style functions are called in seq2seq. model - 1: basic encoder-decoder. model - 2: encoder-decoder with feedback. model - 3: encoder-decoder with peek. model - 4: encoder-decoder with attention. results: four encoder-decoder modes. Question: How to change the encoder-decoder modes?. Answering: Change the decoder_mode in Line 144 of the code. For example, you can change decoder_mode = 3 to run the attention mode.

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encoder_decoder has a low active ecosystem.

It has 271 star(s) with 124 fork(s). There are 21 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 2 have been closed. On average issues are closed in 66 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of encoder_decoder is current.

Quality

encoder_decoder has 0 bugs and 0 code smells.

Security

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

encoder_decoder code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

encoder_decoder does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

encoder_decoder has no build file. You will be need to create the build yourself to build the component from source.

encoder_decoder saves you 4568 person hours of effort in developing the same functionality from scratch.

It has 9657 lines of code, 914 functions and 58 files.

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

Top functions reviewed by kandi - BETA

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

Fit a graph model
Validate the generator output
Standardize weighted weights
Evaluate the model
Fit the model using the given generator
Make sure X is a list
Check the generator output
R Evaluate the model
Fit the model
Get the output of the model
Gets the output of the layer
Build the graph
Return the output shape
Connects the module
Get the output of the network
Get the output of the layer
Fit the graph
Fit the model to the dataset
Compile the optimizer
Compile the model
Generate an RNN layer
Add a shared node
Generates samples from a sequence
Build the network
2d convolution layer
Load a text dataset

Get all kandi verified functions for this library.

encoder_decoder Key Features

No Key Features are available at this moment for encoder_decoder.

encoder_decoder Examples and Code Snippets

No Code Snippets are available at this moment for encoder_decoder.

Community Discussions

Trending Discussions on encoder_decoder

List index running out? Python

How to debug invalid gradient at index 0? - PyTorch

QUESTION

List index running out? Python

Asked 2022-Mar-30 at 22:29

I am making a decoder, but when I type a code-word, if the code-word is not after the last one I typed in the list, it throws an error

Code:

...

ANSWER

Answered 2021-Sep-04 at 21:26

What I was forgeting is that I needed to reset 'CodeNum' to 0

Source https://stackoverflow.com/questions/69058843

QUESTION

How to debug invalid gradient at index 0? - PyTorch

Asked 2020-Jan-31 at 19:42

I am trying to train an actor-critic model, but when I reach the backprop for the critic I get this error: RuntimeError: invalid gradient at index 0 - expected type torch.cuda.FloatTensor but got torch.FloatTensor I am failing to identify which gradient the error refers to. Can anyone help?

Here is the Stack trace:

...

ANSWER

Answered 2020-Jan-31 at 19:42

The error says it's expecting a cuda tensor and got a non-cuda tensor, so that's what I'd look for.

Calls like grad_output.cuda() returns a cuda tensor. It's not an inplace operation. You probably wanted grad_output = grad_output.cuda(), so I'd start by fixing calls like that.

Source https://stackoverflow.com/questions/60009868

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

Vulnerabilities

No vulnerabilities reported

Install encoder_decoder

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

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 .

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