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Soumith Chintala 2016-08-15 12:10:29 -04:00
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@ -15,12 +15,8 @@ python3 setup.py install
## Communication ## Communication
* github issues: bug reports, feature requests, install issues, RFCs, thoughts, etc. * github issues: bug reports, feature requests, install issues, RFCs, thoughts, etc.
* slack: general chat, online discussions, collaboration etc. * slack: general chat, online discussions, collaboration etc. https://pytorch.slack.com/ . If you need a slack invite, ping me at soumith@pytorch.org
* newsletter: no-noise, one-way email newsletter with important announcements about pytorch. You can sign-up here: http://eepurl.com/cbG0rv
###Slack:
You should all be invited to the slack chat (check your email)
- Team Name: PyTorch
- Team Domain: https://pytorch.slack.com/
## Timeline ## Timeline
@ -164,6 +160,7 @@ for i in range(ITERS):
``` ```
* Here, nn.Variable will have a complete tape-based automatic differentiation implemented
* To access states, have hooks for forward / backward (this also makes multi-GPU easier to implement) * To access states, have hooks for forward / backward (this also makes multi-GPU easier to implement)
* This has the advantage of not having to worry about in-place / out-of-place operators for accessing .output or .gradInput * This has the advantage of not having to worry about in-place / out-of-place operators for accessing .output or .gradInput
* When writing the module, make sure debuggability is straight forward. Dropping into pdb and inspecting things should be natural, especially when going over the backward graph. * When writing the module, make sure debuggability is straight forward. Dropping into pdb and inspecting things should be natural, especially when going over the backward graph.