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dibblego's profile
Tony Morris
Tony Morris
Tony Morris
@dibblego

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Tony Morris

@dibblego

Power ∧ Attitude ⇒ Performance

Brisbane, Australia
tmorris.net
Joined May 2009

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    1. mandubianhotep‏ @mandubian 8 Jan 2019
      Replying to @dibblego @aloiscochard

      Dreaming: I want a tensorflow/pytorch python tensor compile-time dimension checker, Is that possible? :D

      2 replies 0 retweets 0 likes
    2. Tony Morris‏ @dibblego 8 Jan 2019
      Replying to @mandubian @aloiscochard

      I don't know what that is. But let's go with yes. Want to help me out with knowing what that means?

      1 reply 0 retweets 0 likes
    3. mandubianhotep‏ @mandubian 8 Jan 2019
      Replying to @dibblego @aloiscochard

      you can read that IMHO http://nlp.seas.harvard.edu/NamedTensor  ... it's recent and shows a few issues... tensor are just matrix with dimension batch x dim1 x dim2 x ... and all matrix computations aren't possible depending on those dims... a type-dependent system could help but python is farfar

      2 replies 0 retweets 1 like
    4. Tony Morris‏ @dibblego 8 Jan 2019
      Replying to @mandubian @aloiscochard

      What manual process and/or tools do you currently execute to check your matrix dimensions?

      1 reply 0 retweets 0 likes
    5. mandubianhotep‏ @mandubian 8 Jan 2019
      Replying to @dibblego @aloiscochard

      model.compile(...) in tensorflow

      1 reply 0 retweets 0 likes
    6. mandubianhotep‏ @mandubian 8 Jan 2019
      Replying to @mandubian @dibblego @aloiscochard

      but imagine you had a kind of "compiler" that would check in real-time your python code and infer dimensions and check you have no inconsistencies in your dimensions...

      1 reply 0 retweets 1 like
    7. Tony Morris‏ @dibblego 8 Jan 2019
      Replying to @mandubian @aloiscochard

      Do you have a mechanical process by which you (the programmer) can currently do this? i.e. a method of program analysis, however manual?

      1 reply 0 retweets 0 likes
    8. mandubianhotep‏ @mandubian 8 Jan 2019
      Replying to @dibblego @aloiscochard

      no rely on TF/pytorch checking capabilities... It doesn't help coding robust, you must run "model.compile/model.fit" to know if it works & if you have branch if/then/else in which you've made a dimension error, your training can crash after 5h when it finds this condition

      1 reply 0 retweets 0 likes
    9. Tony Morris‏ @dibblego 8 Jan 2019
      Replying to @mandubian @aloiscochard

      Is pytorch the thingo that does the dimension checking?

      1 reply 0 retweets 0 likes
    10. mandubianhotep‏ @mandubian 8 Jan 2019
      Replying to @dibblego @aloiscochard

      pytorch is just another DeepLearning lib... it has a different approach than tensorflow but it has same tensor concept... it separates less a static phase "compile" vs "fit" but it's not so far despite what pytorch people say...

      2 replies 0 retweets 0 likes
      Tony Morris‏ @dibblego 8 Jan 2019
      Replying to @mandubian @aloiscochard

      OK, I think I've got it.

      5:20 AM - 8 Jan 2019
      1 reply 0 retweets 0 likes
        1. New conversation
        1. mandubianhotep‏ @mandubian 8 Jan 2019
          Replying to @dibblego @aloiscochard

          I don't say it's easy or feasible but if you can solve even a bit of that issue with you tool, I think you'll have lots of people looking at it :D

          1 reply 0 retweets 0 likes
        2. Tony Morris‏ @dibblego 8 Jan 2019
          Replying to @mandubian @aloiscochard

          Come on IRC and help me understand the problem better. Except it's bed time here in UTC+10. http://qfpl.io/contact 

          0 replies 0 retweets 0 likes
          3. End of conversation

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