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Fixing error in README

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araison 2020-11-08 16:06:29 +01:00
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README.md
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@ -3,8 +3,11 @@
`gpus_monitor` is a Python GPUs activities monitoring tool designed to report by email new and recently died compute processes over the machine where it has been run on.
Basically, when you have just run a new stable training on the machine where `gpus_monitor` listen to, you will received in a few seconds an email notification. This email will contains several informations about the process you've launched.
You received also an email if a compute process died (with EXIT_STATUS = 0 or not).
Basically, when you have just run a new stable training on the machine where
`gpus_monitor` listen to, you will received in a few seconds an email
notification. This email will contains several informations about the process
that has been launched.
You will also receive an email if a compute process died (with EXIT_STATUS = 0 or not).
### Kind of mail gpus_monitor is going to send you :
@ -99,7 +102,7 @@ vim config.py
```
For privacy purposes, login of my dedicated SMTP account are stored in 2 machine environment variables. I've set up a brandnew Gmail account for my `gpus_monitor` instance. I can share with you my credentials in order to use a single SMTP account for `gpus_monitor` instance on several machines, feel free to send me an email !
For privacy purposes, login of my dedicated SMTP account are stored in a machine in 2 environment variables. I've set up a brandnew Gmail account for my `gpus_monitor` instance. I can share with you my credentials in order to use a single SMTP account for each `gpus_monitor` instance listening several machine (max 100 mails/24h) , feel free to send me an email if you are interested in !
Otherwise, fill in with your own SMTP server configuration.
@ -159,7 +162,7 @@ If you have any ideas to improve this project, don't hesitate to make a merge re
## To test `gpus_monitors` by your own:
I've implemented a the tiny non linear XOR problem in pyTorch.
I've implemented the tiny non linear XOR problem in pyTorch.
You can test `gpus_monitor` by your own while running :
```bash
python3 gpus_monitor/test_torch.py