#mojonet

13 messages · Page 1 of 1 (latest)

final bolt
austere pawn
final bolt
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Oh thank you. I have not I wanted to contribute what I could to get those who use PyTorch and easy way to integrate their existing projects in Mojo.

final bolt
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@austere pawn I would love if you had the time to do a PR for the next release to add in benchmarking functionality and unittests if you had an opportunity being you are more senior in Mojo as this would help advance exsiting AI Devs who work with PyTorch to consider the Mojo platform.

high dawn
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Isn't Mojo's bindings should be to C++ libtorch library? for the speed..

final bolt
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@high dawn the point of this repo is for AI Developers who are comfortable with PyTorch to have a quick framework to get their project working with the Mojo platform. The point of this repo is wider adoption to Mojo as there are a large number of AI Developers I have introduced to Mojo and they are extremely hesitant without some helper framework to get them started and that is what I am trying to do to advance the Mojo ecosystem.

tribal graniteBOT
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Congrats @final bolt, you just advanced to level 1!

austere pawn
final bolt
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No problem @austere pawn appreciate all the work you all do!

final bolt
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I attempted to write unittests however I was unable to import my mojo package properly from the tests folder. I tried to follow other examples but was unsuccessful.

final bolt
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I was successful in creating some unittest @cold dock and will push them up tomorrow. I am hoping the larger Python Community who uses PyTorch is excited to try this out.

final bolt
final bolt
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@austere pawn I am trying to use mps which is MAC's cuda alternative in my PyTorch wrapper. Are these capabailities not implemented yet in Mojo? I created a bug for this reason and wanted to better understand. Thank you for your time!