error:Error:Unable to resolve module ../../models/detr_resnet50.ptl from F:\PyTorchDemo\MyFirstProject\src\examples\ObjectDetectionExample.tsx about playtorch HOT 7 CLOSED

@RyanShun-511 to help narrow down the issue, please provide a list of model files (i.e., *.ptl files) that are generated when following the steps provided in my comment above

Thank you!

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@RyanShun-511 , thanks for reporting this issue. We were able to reproduce it on our end and will submit a fix soon!

In the meantime, you can try if the follow steps unblock you:

1. cd F:\PyTorchDemo\MyFirstProject\models
2. Change line 27 in make_models.py from spec = Path(f"{name}.{MODEL_EXTENSION}.live.spec.json").read_text() to spec = Path(f"{name}.{MODEL_EXTENSION}.live.spec.json").read_text(encoding="UTF-8")
3. python3 -m venv venv
4. .\venv\Scripts\activate
5. pip install -r requirements.txt
6. python make_models.py

The steps above export the ptl models. Re-run the npx react-native run-android to build and deploy the app in the emulator or a physical device.

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@raedle Thank you for your reply. Following your steps, I can see the model generated in the export_image_Classification_models function under F:\PyTorchDemo\MyFirstProject\ Models. The detr_resnet50.ptl file does not exist. Later parts of the program, such as MNIST models, may not be generated.
Excuse me, how can I solve this problem?

Description on node:
error: Error: Unable to resolve module ../../models/detr_resnet50.ptl from F:\PyTorchDemo\MyFirstProject\src\examples\ObjectDetectionExample.tsx:

None of these files exist:

• detr_resnet50.ptl
• models\detr_resnet50.ptl\index(.native|.android.js|.native.js|.js|.android.json|.native.json|.json|.android.ts|.native.ts|.ts|.android.tsx|.native.tsx|.tsx)
  25 | const modelInfo: ModelInfo = {
  26 | name: 'DETR',

27 | model: require('../../models/detr_resnet50.ptl'),
| ^
28 | };
29 |
30 | const objectColors = [
at ModuleResolver.resolveDependency (F:\PyTorchDemo\MyFirstProject\node_modules\metro\src\node-haste\DependencyGraph\ModuleResolution.js:211:15)
at DependencyGraph.resolveDependency (F:\PyTorchDemo\MyFirstProject\node_modules\metro\src\node-haste\DependencyGraph.js:413:43)
at Object.resolve (F:\PyTorchDemo\MyFirstProject\node_modules\metro\src\lib\transformHelpers.js:317:42)
at resolve (F:\PyTorchDemo\MyFirstProject\node_modules\metro\src\DeltaBundler\traverseDependencies.js:629:33)
at F:\PyTorchDemo\MyFirstProject\node_modules\metro\src\DeltaBundler\traverseDependencies.js:645:26
at Array.reduce ()
at resolveDependencies (F:\PyTorchDemo\MyFirstProject\node_modules\metro\src\DeltaBundler\traverseDependencies.js:644:33)
at F:\PyTorchDemo\MyFirstProject\node_modules\metro\src\DeltaBundler\traverseDependencies.js:329:33
at Generator.next ()
at asyncGeneratorStep (F:\PyTorchDemo\MyFirstProject\node_modules\metro\src\DeltaBundler\traverseDependencies.js:137:24)

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@raedle Or you have the detr_resnet50.ptl model file and the model files generated in the export_mnist_model and export_NLP_models functions for me to download. I put it directly in the F:\PyTorchDemo\MyFirstProject\ Models folder.
Thank you for your careful answer.

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During the execution of the make_model.py file, I downloaded the model from the URL myself. You can put the program on your phone. Thank you for your answers.

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@raedle I have faced this problem myself, and I have generated these files.
The following are the generated files:

The file size are 353MB, so I wonder whether I should upload them to you there.

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The models are no longer part of the template, and with the new PlayTorch API and the PlayTorch app + Snack there are now better alternatives to experiment with on-device ML models.

Closing this issue due to inactivity. Please reopen if this is still ongoing!

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