TFAMI.v4 Upcoming Release about dlami HOT 11 CLOSED

@ritchieng can we add http://pytorch.org/
It is simple to install

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@dev-rkoshlyak Yeah, I've been wanting to add that. I would probably have to change the name from TFAMI to DLAMI to include that.

You can currently just install it yourself with a simple pip command as the environment is made for it :)

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any possibility of python 3.5?

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@mjdietzx I'll actually consider that. Let me think :)

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Thanks for your support everyone.

However I found out that our funding from Amazon expired and these AMIs cost us money across the regions. As such we would be discontinuing these AMIs until we've funding from Amazon. :(

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Ritchie,

Maybe you can recruit other Githubers all over the Amazon regions to host your AMI. For instance, I am in EU-Ireland, so I could host it... If I remember well, the cost is just the one corresponding to storage, isn't it?
That will be a pity for me if I no longer have access to your AMI since it saves my time not to install, I have some difficulties using TF on GPU for unknown reasons

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@mphuget +1

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@Innarticles @mphuget I'm discussing with my other researcher to host on in one location :) It's really a heartbreak to close this too.

In the mean time I'll be hosting it in one location.

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@ritchieng Do you think it is possible to reproduce the process you made to setup the AMI? I tried many, many sites proposing process to install CUDA, CuDNN, TF and for most of them, it is not working properly, especially on TF that evolves too quickly

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@mphuget They're a lot of environment-specific debugging to be done that's why I can't release a standard one (tried, failed). That's the pain here. Even using a containerized installation, it's problematic. This is why I started TFAMI so everyone can just get to the deep learning part and skip the mess in installing.

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@mphuget @Innarticles It's in only one region for now which has a lot of spot instances now. I sincerely apologize for the downtime for this AMI.

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