RNNLM | Using RNNLM rescoring a sentence in Chinese ASR system | Speech library

by Sundy1219 Python Version: Current License: No License

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

kandi X-RAY | RNNLM Summary

RNNLM is a Python library typically used in Artificial Intelligence, Speech, Neural Network applications. RNNLM has no bugs, it has no vulnerabilities and it has low support. However RNNLM build file is not available. You can download it from GitHub.

This recipe is used for training an RNN language model and ASR rescoring ===.

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Quality

Security

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Support

RNNLM has a low active ecosystem.

It has 4 star(s) with 5 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of RNNLM is current.

Quality

RNNLM has no bugs reported.

Security

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

License

RNNLM 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

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

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

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

Top functions reviewed by kandi - BETA

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

Load PTB data
Build vocabulary
Reads words from filename
Convert a file to a list of word ids
Dump dictionaries to file
Load a vocabulary from file
Write log probabilities to a file
Calculates the word score for the given sentence
Load a list of words from a file
Evaluate the given model
Iterate through the PTB data
Generate data from PTB data
Compute the score of a sentence
Get the LM configuration

Get all kandi verified functions for this library.

RNNLM Key Features

No Key Features are available at this moment for RNNLM.

RNNLM Examples and Code Snippets

No Code Snippets are available at this moment for RNNLM.

Community Discussions

Trending Discussions on RNNLM

Tensor is not an element of this graph

AleaTK throw new NotImplementedException() on new project

Why does Tensorflow's sampled_softmax_loss force you to use a bias, when experts recommend no bias be used for Word2Vec?

character level bidirectional language model in tensorflow

Tensorflow's API: seq2seq

Generating words from trained RNN model: "Variable already exists, disallowed. Did you mean to set reuse=True in VarScope? "

use Adam optimizer TWICE in tensorflow

Unable to use any of the training optimizers other than tf.train.GradientDescentOptimiser()

tensorflowVariable RNNLM/RNNLM/embedding/Adam_2/ does not exist

Tensorflow rnn: name 'seq2seq' is not defined

QUESTION

Tensor is not an element of this graph

Asked 2020-May-14 at 17:27

I'm getting this error

'ValueError: Tensor Tensor("Placeholder:0", shape=(1, 1), dtype=int32) is not an element of this graph.'

The code is running perfectly fine without with tf.Graph(). as_default():. However I need to call M.sample(...) multiple times and each time the memory won't be free after session.close(). Probably there is a memory leak but not sure where is it.

I want to restore a pre-trained neural network, set it as default graph, and testing it multiple times (like 10000) over the default graph without making it larger each time.

The code is:

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ANSWER

Answered 2017-Nov-14 at 09:16

When you create a Model, the session hasn't been restored yet. All placeholders, variables and ops that are defined in Model.__init__ are placed in a new graph, which makes itself a default graph inside with block. This is the key line:

Source https://stackoverflow.com/questions/47115946

QUESTION

AleaTK throw new NotImplementedException() on new project

Asked 2019-Aug-14 at 05:45

I am testing AleaTK for a task I need done.

The GitHub repo is Here.

If I download the Repo and test the PTB example, it works fine!

If I use Nuget and download the AleaTK Nuget and add the Classes: 'Lstm.cs', 'LstmRnnType.cs' with all the extensions necessary, I get an error:

The method or operation is not implemented.

Now, the call is coming from:

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ANSWER

Answered 2019-Aug-14 at 05:45

After quite some debugging, I believe I have found the problem.

Source https://stackoverflow.com/questions/57486333

QUESTION

Why does Tensorflow's sampled_softmax_loss force you to use a bias, when experts recommend no bias be used for Word2Vec?

Asked 2018-Apr-25 at 05:17

All the tensorflow implementations of Word2Vec that I have seen has a bias in the negative sampling softmax function, including on the official tensorflow website

https://www.tensorflow.org/tutorials/word2vec#vector-representations-of-words

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ANSWER

Answered 2018-Apr-25 at 05:17

The exercise you link defines softmax_biases to be zeros:

Source https://stackoverflow.com/questions/50010376

QUESTION

character level bidirectional language model in tensorflow

Asked 2018-Mar-21 at 07:29

Inspired from Andrej Karpathy Char-RNN, There is a Tensorflow implementation of char-rnn sherjilozair/char-rnn-tensorflow: Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow. I want to implement bidirectional character level language model from this code. I change the model.py and wrote a simple code:

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ANSWER

Answered 2018-Mar-10 at 10:38

Looks like you set self.lr = tf.Variable(0.0, trainable=False). Try changing this to a nonzero value. If you are reading probabilities from self.probs during the testing phase this should be normalized appropriately,

Source https://stackoverflow.com/questions/45612636

QUESTION

Tensorflow's API: seq2seq

Asked 2017-Nov-10 at 23:34

I have been following https://github.com/kvfrans/twitch/blob/master/main.py tutorial to create and train a chatbot based on rnn using tensorflow. From what I understand, the tutorials was written on an older version of tensorflow, so some parts are outdated and give me an error like:

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ANSWER

Answered 2017-Nov-10 at 23:34

I think this is the one you need:

Source https://stackoverflow.com/questions/42619180

QUESTION

Generating words from trained RNN model: "Variable already exists, disallowed. Did you mean to set reuse=True in VarScope? "

Asked 2017-Aug-25 at 02:17

So I implemented a RNN word generator model in jupytor notebook. When I was trying to use the trained model to generate some words:

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ANSWER

Answered 2017-Aug-25 at 02:17

You can call the model.sample function multiple times without a problem but everything else (creating the session, constructing the Model, loading the checkpoint) should only be run once. If you refactor your code then you won't see that error message anymore.

Source https://stackoverflow.com/questions/45870683

QUESTION

use Adam optimizer TWICE in tensorflow

Asked 2017-Jul-07 at 12:29

I am trying to use adam optimizer twice to minimize different tensor in my code, I have tried use GradientDescentOptimizer twice, it's fine, but I get wrong message when using adam optimizer twice, I asked another question at:tensorflowVariable RNNLM/RNNLM/embedding/Adam_2/ does not exist, but that solution doesn't work in here. I also look up page:https://github.com/tensorflow/tensorflow/issues/6220, But I still don't understand.

Here is my code, I get Error message:ValueError: Variable NN/NN/W/Adam_2/ does not exist, or was not created with tf.get_variable(). Did you mean to set reuse=None in VarScope?

Then I tried the solution at tensorflowVariable RNNLM/RNNLM/embedding/Adam_2/ does not exist, but doesn't work

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ANSWER

Answered 2017-Jul-07 at 10:53

If you absolutely have to do it in the same scope, make sure all variables are defined in time. I'd have to do some more research on why it works like this, but the optimizer settings are locked in the graph at a lower level, no longer dynamically accessible.

Minimal working example:

Source https://stackoverflow.com/questions/44966388

QUESTION

Unable to use any of the training optimizers other than tf.train.GradientDescentOptimiser()

Asked 2017-Jun-27 at 14:48

Function() to define Model

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ANSWER

Answered 2017-Jun-27 at 14:48

You have accidentally put the declare of train_op into the scope RNNLM which is in 'variable share' mode by calling scope.reuse_variables(). Move it out of the scope, and you will get your code run.

Source https://stackoverflow.com/questions/44782945

QUESTION

tensorflowVariable RNNLM/RNNLM/embedding/Adam_2/ does not exist

Asked 2017-Jun-12 at 18:41

My problem is quite similar to tensorflow embeddings don't exist after first RNN example. But I don't think I get a answer.

I posted my entire file on https://paste.ubuntu.com/24253170/. But I believe the following code really matter.

I get this error message:

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ANSWER

Answered 2017-Mar-27 at 10:29

I know what's going on here, this is constructor code:(BTW, I use tensorflow 1.0)

Source https://stackoverflow.com/questions/43013951

QUESTION

Tensorflow rnn: name 'seq2seq' is not defined

Asked 2017-Apr-12 at 10:41

I am trying this notebook: https://github.com/sjchoi86/Tensorflow-101/blob/master/notebooks/char_rnn_sample_tutorial.ipynb

I have a problem with this line In[6]:

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ANSWER

Answered 2017-Apr-12 at 10:41

Because seq2seq has been moved to tf.contrib.legacy_seq2seq. You should change this line to:

Source https://stackoverflow.com/questions/43329789

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

Vulnerabilities

No vulnerabilities reported

Install RNNLM

You can download it from GitHub.
You can use RNNLM 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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