PeterJohnPyTorch
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PeterJohnPyTorch
PeterJohnPyTorch

PeterJohnPyTorch

Developer: Yasushi Obata
App Size: 405 MB
Release Date: 15. Aug. 2024
Price: 22,99 €
Price
22,99 €
Size
405 MB

Screenshots for App

iPhone
iPhone X
More Screenshots for iMessage
Now You Can Use " PyTorch " on your iPhone even when you are in the train
or when your iPhone is OffLine.

****Why we Need " PyTorch " on the Edge Device such as iPhone??;
When "Torch" is a Lamp, "iPhone" becomes a Lamp Stand.
even When you are in the train or when your iPhone is OffLine.
So doNot put "Torch" on any Basket ( Hidden Place ) but put on your "iPhone".
So that the Light of the Lamp will Shine Before Others.
Scripture( Matthew 5:13;14-16 ) Says, 
When the Light is Put on the Hill,
the City on the Hill canNot be Hidden.

****Matthew 5:13;14-16, ESV;
5:13 “You are the salt of the earth, but if salt has lost its taste,
how shall its saltiness be restored?
5:14 “You are the light of the world. A city set on a hill canNot be hidden.
5:15 Nor do people light a lamp and put it under a basket, but on a stand,
and it gives light to all in the house.
5:16 In the same way, let your light shine before others,
so that they may see your good works
and give glory to your Father who is in heaven.

****TutorialSeason007;
We Prepared some of Examples
to tell you what you Can do Using PeterJohnPyTorch.
s001QuestAnswerLibTorch.py;
This isNot PyTorch but just LibTorch.
QuestionAnswering Demo with LibTorch.
You canNot Customize almost Anything
'cause LibTorch is Called Via Swift
and 'cause Swift Needs to be Compiled
with XCode on MacOS.
This example Loads any Model from "qa360_quantized.ptl" file,
which includes "TorchScript".

s002ProvisionPyTorchTensor.py;
This Shows PeterJohnPyTorch Can Use Tensor.
s003ProvisionPyTorchAutoGradFoundation.py;
This Shows PeterJohnPyTorch Can Use AutoGrad.
s004ProvisionPyTorchAutoGrad.py;
This Shows PeterJohnPyTorch Can Use AutoGrad.
s005ProvisionPyTorchNN.py;
This Shows PeterJohnPyTorch Can Use torch.nn (NeuralNetwork).
s006ProvisionPyTorchNNoptimizer.py;
This Shows PeterJohnPyTorch Can Use torch.nn (NeuralNetwork)
and Optimizer.
This Uses SGD (Stochastic Gradient Descent ) as the Optimizer.
s007QuestAnswerPyTorch.py;
Now you Can See Not libTorch demo But PyTorch demo
about QuestionAnswering.
You can Customize, for example, Tokenizer
in "pjQuestionAnswering.py"
Using PyTorch on iPhone.
This example Loads any Model from "qa360_quantized.ptl" file,
which includes "TorchScript".

s008QuestAnswerTransformers.py;
QuestionAnswering Demo with PyTorch and Transformers.
After you touched "Run Script",
This example begins to Download "model.safetensors"(265.5MBytes),
We Recommend that you make a copy of "model.safetensors",
outside of this App "PeterJohnPyTorch",
using Apple's "Files.app".
So that, Even if you uninstalled this App,
After you installed this App "PeterJohnPyTorch" Again,
you can put back "model.safetensors" file to "/images" directory
of this App "PeterJohnPyTorch".
This example Loads any Model from "model.safetensors" file,
which is the Standard format of "HuggingFace".

****Some of Restrictions that We know Currently;
1) CanNot Trace any Model files using torch.jit.trace() Function;
Since Now "PeterJohnPyTorch" canNot Create any Traced Model,
Also it canNot Create either ".ptl"("PyTorch Lite" format) file 
Nor ".pt"("PyTorch" format) file right now.
2) CanNot Script any Model files using torch.jit.script() Function;
Since Now "PeterJohnPyTorch" canNot Create any Scripted Model,
Also it canNot Create either ".ptl"("PyTorch Lite" format) file
Nor ".pt"("PyTorch" format) file right now.
Now you Need to
save any Model as "model.safetensors",
and use the Model via PyTorch or via Transformers,
Means Write the Logic via PyTorch or via Transformers.
3) Not Implement "MPS" (Metal Performance Shader) backends Yet;
So Now you Need to Specify "CPU" as Device.
The "CPU" backends is just the First Step Before the "GPU" backends.

****
Enjoy PeterJohnPyTorch even when you are in the train
or your iPhone is OffLIne.
--Yasushi Yassun Obata
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PeterJohnPyTorch 2025.0927.1537 Update
29. Sept. 2025 Version History
"s003ConnectFourMctsCppGame.py" and "s004ConnectFourTraining.py" BugFix Version;We Apologize that MCTS, MonteCarloTreeSearch, C++ Version had a Bug that MCTS C++ version did Not explore the Game Tree,so it was Very Weak.We Fixed the Bug. Now MCTS C++ version explores the Game Tree.So MCTS C++ Version Became Strong.****TutorialSeason005/s003ConnectFourMctsCppGame.py Became Strong.****TutorialSeason005/s004ConnectFourTraining.py which Uses the MCTS C++ Version to Train. in The Results of Training, RedReward and YellowReward became Almost Same Values such as 64.5 versus 64. it means the MCTS C++ Version became Strong.****TutorialSeason005/s005ConnectFourGame.py which Uses the Trained Data on "s004ConnectFourTraining.py". so it became Strong.****Why did we make MCTS, MonteCarloTreeSearch, C++ Version??;;NumPy is Ten times Faster than Python,and C++ is Ten times Faster than NumPy,As a Result, C++ is Hundred times Faster than Python.Enjoy Deep Learning.Enjoy Reinforcement Learning.Best Regards,--Yasushi Yassun Obata

~Yasushi Obata
More Information about: PeterJohnPyTorch
Price: 22,99 €
Version: 2025.0927.1537
Compatibility: Requires Erfordert iOS 15 or later
Bundle Id: com.yassun.PeterJohnPyTorch
Size: 405 MB
Genre: All
Release Date: 15. Aug. 2024
Last Update: 29. Sept. 2025
Content Rating: 4+
Developer: Yasushi Obata
Language: Englisch -


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