القائمة
Burn WGPU backend - Cross-platform GPU acceleration using WebGPU. Supports Vulkan, Metal, Direct3D, and WebGL.
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استنادا إلى تصنيف SOC المهني
Convert Markdown with LaTeX math, images, and tables into a polished PDF. Two rendering engines: (1) weasyprint — pure Python, no browser needed; (2) chromium — best for matrices/bmatrix/pmatrix/vmatrix and complex formulas. Supports Chinese/Japanese fonts. Can chain after ocr-md-polish for a complete OCR→clean→PDF workflow.
Burn core framework - Provides tensor operations, automatic differentiation, and neural network building blocks for Rust deep learning.
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Burn ONNX support - Import ONNX models into Burn for inference on any backend. Supports compile-time code generation and runtime loading.
| name | burn-wgpu |
| description | Burn WGPU backend - Cross-platform GPU acceleration using WebGPU. Supports Vulkan, Metal, Direct3D, and WebGL. |
burn-wgpu provides cross-platform GPU acceleration using WebGPU through the wgpu crate. It supports:
use burn::tensor::Tensor;
use burn_wgpu::WgpuDevice;
// Create GPU device
let device = WgpuDevice::default();
// Create tensor on GPU
let tensor = Tensor::from_data(&[1.0, 2.0, 3.0], &device);
// GPU-accelerated operations
let result = tensor.matmul(other_tensor);
use burn_wgpu::WgpuBackend;
type Backend = WgpuBackend;
let model: Model<Backend> = Model::default();
[model_exports]
default_backend = "wgpu"
default_device = "Gpu"
[wgpu]
wgpu feature for WebAssemblyburn: Core frameworkburn-onnx: ONNX model import with GPU acceleration