# bevy_burn 🕊️🔥
[](https://raw.githubusercontent.com/mosure/bevy_burn/main/LICENSE)
[](https://crates.io/crates/bevy_burn)
bevy burn data bridge plugin
## features
- [ ] bevy texture -> burn tensor
- [x] burn tensor -> bevy texture
## usage
### burn -> bevy gpu example
`cargo run --bin gpu_interop`
```rust
use bevy::prelude::*;
use bevy::{
asset::RenderAssetUsages,
render::render_resource::*,
};
use burn_core::tensor::Int;
use burn_wgpu::Wgpu as BurnWgpu;
use bevy_burn::*;
type BB = BurnWgpu<f32, i32>;
fn main() {
App::new()
.add_plugins(DefaultPlugins)
.add_plugins(BevyBurnBridgePlugin::<BB>::default())
.add_systems(Startup, setup)
.run();
}
fn setup(
mut cmds: Commands,
mut images: ResMut<Assets<Image>>,
) {
let size = Extent3d {
width: 256,
height: 256,
depth_or_array_layers: 1,
};
let mut img = Image::new_fill(
size,
TextureDimension::D2,
&[0; 16],
TextureFormat::Rgba32Float,
RenderAssetUsages::RENDER_WORLD,
);
img.texture_descriptor.usage |= TextureUsages::COPY_SRC
| TextureUsages::COPY_DST
| TextureUsages::TEXTURE_BINDING
| TextureUsages::STORAGE_BINDING;
let handle = images.add(img);
let h = size.height as usize;
let w = size.width as usize;
let dev = Default::default();
let xs = burn_core::tensor::Tensor::<BB, 1, Int>::arange(0..(w * h * 4) as i64, &dev)
.float()
.div_scalar((w * h * 4) as f32);
let rgba = xs.reshape([h, w, 4]);
cmds.spawn((
ImageNode {
image: handle.clone(),
..default()
},
BevyBurnHandle::<BB> {
bevy_image: handle,
tensor: rgba,
upload: true,
direction: BindingDirection::BurnToBevy,
xfer: TransferKind::Gpu,
},
));
cmds.spawn(Camera2d);
}
```
## compatible versions
| `0.4` | `0.17` | `0.19` |
| `0.3` | `0.17-dev*` | `0.18` |
> *`wgpu` version must match
## license
licensed under either of
* Apache License, Version 2.0, ([LICENSE-APACHE](LICENSE-APACHE) or http://www.apache.org/licenses/LICENSE-2.0)
* MIT license ([LICENSE-MIT](LICENSE-MIT) or http://opensource.org/licenses/MIT)
at your option.
## analytics
