🚀 Feature request

The architecture GPT2ForSequenceClassification was added in #7501 in PyTorch. It would be great to have it in TensorFlow (cf. issues #7622), but it would also be great to have it for other causal models: OpenAI GPT, CTRL, TransfoXL

Currently working on OpenAI GPT: @fmcurti

Below is a list of items to follow to make sure the integration of such an architecture is com

some recordings have low volume so the output can be sometimes really quiet. how about we add a volume bar so we can make the output louder/quieter?

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Change tensor.data to tensor.detach() due to
pytorch/pytorch#6990 (comment)
tensor.detach() is more robust than tensor.data.

Bug Report

These tests were run on s390x. s390x is big-endian architecture.

Failure log for helper_test.py

________________________________________________ TestHelperTensorFunctions.test_make_tensor ________________________________________________

self = <helper_test.TestHelperTensorFunctions testMethod=test_make_tensor>

    def test_make_tensor(self):  # type: () -> None
    

https://github.com/allenai/allennlp/blob/ae7cf85b8f755f086341a087aeca1ba7c1df3769/allennlp/common/testing/test_case.py#L14

This docstring suggests that the TestCase class should subclass unittest.TestCase but it does not do so. Should this be updated or is this intentional?

🚀 Feature

Parse the Readme and replace generated badges by downloaded ones

0. process in setup.py
1. parse all badges from online CI and save them as png (svg is problematic, does not work for all plaforms)
   2 replace badges in Readme with the downloaded ones

Motivation

pipy page does not work well with generated badges and also projecting the master state to a given release do

as the benchmark examples

To begin I tried logging in with GitHub and also creating an account on the pyro forums, but neither of those is working.

Problem

I need to fit a batch of four independent Gaussian Processes and I don't want to have to use for loops for fitting each one. The current GP's are able to broadcast properly to my outputs, but I can't batch them so that the inputs are independent.

My input d