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TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.

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penpaperkeycode commented Jun 2, 2022

Feature request

Is the addition of the 'OPTforSequenceClassification' class scheduled?
Is someone handling it?
When adding these functions, I wonder if it is possible to PR one by one, or if I have to PR all classes supported by other models.


Added function of OPT class, which is being actively discussed recently

Your contribution

I personally use the forSequenceCla

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

  • Updated Apr 3, 2022
  • Python
VeronikaPolakova commented Jun 15, 2022

Reporters do not apply sort_by_metric if metric is passed through

I tried to pass metric argument to CLIReporter, however, I obtained this error:

raise ValueError(
                "You passed a `metric` or `mode` argument to ``, but "
                "the reporter you are using was already instantiated with their "
                "own `metric` and `mode
bug good first issue tune P2
pt-br commented Aug 24, 2019

I've ran into this issue for a couple hours and I ended up editing the dist library adding two new functions called fetchVideo and bufferToVideo that works pretty much like the fetchImage and bufferToImage functions.

I'll leave it here to help somebody else with the same issue and in case someone wants to include it on future releases.


exports.fetchVideo = fetc
enhancement help wanted good first issue
AnirudhDagar commented Jan 24, 2022

Although the results look nice and ideal in all TensorFlow plots and are consistent across all frameworks, there is a small difference (more of a consistency issue). The result training loss/accuracy plots look like they are sampling on a lesser number of points. It looks more straight and smooth and less wiggly as compared to PyTorch or MXNet.

It can be clearly seen in chapter 6([CNN Lenet](ht

tensorflow-adapt-track good first issue
espoirMur commented Jun 22, 2022

Thanks you for this library .

I was using it and I had one edge case. my home folder name ends with .py it is /home/ so anytime I am running the code to load a local module this code here it is failing because after splitting it is trying to save the code

good first issue

Created by Google Brain Team

Released November 9, 2015