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PeterJohnPyTorch (by Yasushi Obata) - (iOS Apps)

		Developer:	Yasushi Obata (8)
		Price:	$19.99
		Rankings:	0
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Description

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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Screenshots

#1. PeterJohnPyTorch (iOS) By: Yasushi Obata

#2. PeterJohnPyTorch (iOS) By: Yasushi Obata

#3. PeterJohnPyTorch (iOS) By: Yasushi Obata

#4. PeterJohnPyTorch (iOS) By: Yasushi Obata

#5. PeterJohnPyTorch (iOS) By: Yasushi Obata

#6. PeterJohnPyTorch (iOS) By: Yasushi Obata

#7. PeterJohnPyTorch (iOS) By: Yasushi Obata

#8. PeterJohnPyTorch (iOS) By: Yasushi Obata

#9. PeterJohnPyTorch (iOS) By: Yasushi Obata

#10. PeterJohnPyTorch (iOS) By: Yasushi Obata

What's new

Version: 2025.0927.1537
Updated: 2025-09-29 12:54:03 UTC
"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

Price History

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Yasushi Obata
Platforms: iOS Apps (7) iOS Games (1)
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Additional Information

Version: 2025.0927.1537
ID: com.yassun.PeterJohnPyTorch
Category: iOS Apps › Developer Tools
OS: iPad, iPhone, iOS 15.0 and up
Size: 386 Mb
Supported Languages: English
Content Rating: 4+
App Store Rating: 0
Updated: 2025-09-29 12:54:03 UTC
Release Date: 2024-08-15 07:00:00 UTC

«PeterJohnPyTorch» is a Developer Tools app for iOS, developed by «Yasushi Obata». It was first released on 2024-08-15 07:00:00 and last updated on 2025-09-29 12:54:03. The lowest historical price was $19.99, and the highest was $19.99. This app has not yet received any ratings or reviews on AppAgg. Available languages: English. AppAgg continuously tracks the price history, ratings, and user feedback for «PeterJohnPyTorch». Subscribe to this app or follow its RSS feed to get notified about future discounts or updates.

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