Comments (7)
Thanks for the clarification @mantasp. A lot of our potential uses for barracuda are centred around AR and ARCore which doesn't support Vulkan currently.
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This is still an issue, using Barracuda together with ARCore is therefore not intended?
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At the moment we dropped GLES support on Android and focusing on Vulkan instead. Please let us know if Vulkan doesn't work for you.
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Hi Blackclaws. We are working on a Pixel Shader worker, which will enable GPU on GLES. If everything goes well, it should be released soon.
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Hi @Aurimasp , Are there any news concerning the Pixel Shader worker you have mentioned recently? As previous commenters stated, we would like to use Barracuda together with ARFoundation, especially since the Unity Perception package and the DataMaker made good progress. I would look forward to hearing from you.
P. S.: I am using Barracuda v 2.3.1 preview, Unity 2020.3
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You can use it on iOS with GPU and on Android with CPU workers. It does kill performance on Android if running large inference regularly though. Make sure you run the neural net one operation per frame and not all at once.
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Hey, we have added the Pixel Shader backend in the 2.3.0+ version of Barracuda. You can select it like this: "WorkerFactory.Type.PixelShader".
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Related Issues (20)
- Trouble importing LSTM network model HOT 1
- Inference ONNX int8 quantized models using Barracuda engine
- UpSampling Layers Do Not Use Correct Interpolation
- Challenge: Make Baracuda work with Lllama HOT 1
- Is Barracuda deprecated? HOT 3
- 0nnxlmpotException: Unknown type ScaterND
- Saved PNG image of Texture2D shows Blank Image. HOT 1
- [Feature Request] baracuda able to run GPT4ALL4bit and AlpacaLora4bit
- Out of memory after running multiple time the network, even disposing all the tensors
- Will Barracuda 4.0 will be come with Unity AI initiative. HOT 6
- OnnxImportException: Unexpected error while parsing layer /model.24/Split_output_0 of type Split. Is it Barracuda problem? HOT 3
- Barracuda with savedmodel file format HOT 2
- dynamic weights of Conv is not support
- ONNX model outputs precision issue
- PyTorch TransformerEncoder HOT 1
- Using GPU in android with Unity Barracuda HOT 2
- OnnxImportException: Unknown type LayerNormalization encountered while parsing layer /transformer/layers.0/norm1/LayerNormalization_output_0. HOT 2
- OnnxImportException: Unknown type Scan encountered while parsing layer UU000UU HOT 2
- Loading from Application.persistentDataPath
- Unknown type LayerNormalization (Depth Anything ONNX) HOT 1
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