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pytorch

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transformers
LysandreJik
LysandreJik commented Oct 22, 2020

🚀 Feature request

This is a documentation request in order to make it easier to find corresponding examples in the documentation.

Good first issue if you want to get acquainted with the docs and how to build docs using Sphinx!

Current issue

Here's the issue: currently, if one goes to an older documentation version to check the "examples" page, for example, [v2.6.0](https://huggin

hellock
hellock commented Jun 7, 2020

We keep this issue open to collect feature requests from users and hear your voice. Our monthly release plan is also available here.

You can either:

  1. Suggest a new feature by leaving a comment.
  2. Vote for a feature request with 👍 or be against with 👎. (Remember that developers are busy and cannot respond to all feature requests, so vote for your most favorable one!)
  3. Tell us that
pytorch-lightning
rohitgr7
rohitgr7 commented Dec 7, 2020

🚀 Feature

reload_dataloaders_every_epoch reloads dataloader every epoch. We can change it to reload dataloaders after every n epochs. It will accept both bool and int values. True will be treated as 1 and False will be treated as 0 (means no reload).

Motivation

Recently a request came up on slack regarding reloading dataloaders after some epochs. Also since we have enhanced `fast

JonTriebenbach
JonTriebenbach commented Sep 2, 2020

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
    
nni

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