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37 commits
Author | SHA1 | Message | Date | |
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Mike
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687e379800
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Updates for rust 1.73 (#10035)
# Objective - Updates for rust 1.73 ## Solution - new doc check for `redundant_explicit_links` - updated to text for compile fail tests --- ## Changelog - updates for rust 1.73 |
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Rob Parrett
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7063c86ed4
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Fix some typos (#9934)
# Objective To celebrate the turning of the seasons, I took a small walk through the codebase guided by the "[code spell checker](https://marketplace.visualstudio.com/items?itemName=streetsidesoftware.code-spell-checker)" VS Code extension and fixed a few typos. |
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Robert Swain
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5c884c5a15
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Automatic batching/instancing of draw commands (#9685)
# Objective - Implement the foundations of automatic batching/instancing of draw commands as the next step from #89 - NOTE: More performance improvements will come when more data is managed and bound in ways that do not require rebinding such as mesh, material, and texture data. ## Solution - The core idea for batching of draw commands is to check whether any of the information that has to be passed when encoding a draw command changes between two things that are being drawn according to the sorted render phase order. These should be things like the pipeline, bind groups and their dynamic offsets, index/vertex buffers, and so on. - The following assumptions have been made: - Only entities with prepared assets (pipelines, materials, meshes) are queued to phases - View bindings are constant across a phase for a given draw function as phases are per-view - `batch_and_prepare_render_phase` is the only system that performs this batching and has sole responsibility for preparing the per-object data. As such the mesh binding and dynamic offsets are assumed to only vary as a result of the `batch_and_prepare_render_phase` system, e.g. due to having to split data across separate uniform bindings within the same buffer due to the maximum uniform buffer binding size. - Implement `GpuArrayBuffer` for `Mesh2dUniform` to store Mesh2dUniform in arrays in GPU buffers rather than each one being at a dynamic offset in a uniform buffer. This is the same optimisation that was made for 3D not long ago. - Change batch size for a range in `PhaseItem`, adding API for getting or mutating the range. This is more flexible than a size as the length of the range can be used in place of the size, but the start and end can be otherwise whatever is needed. - Add an optional mesh bind group dynamic offset to `PhaseItem`. This avoids having to do a massive table move just to insert `GpuArrayBufferIndex` components. ## Benchmarks All tests have been run on an M1 Max on AC power. `bevymark` and `many_cubes` were modified to use 1920x1080 with a scale factor of 1. I run a script that runs a separate Tracy capture process, and then runs the bevy example with `--features bevy_ci_testing,trace_tracy` and `CI_TESTING_CONFIG=../benchmark.ron` with the contents of `../benchmark.ron`: ```rust ( exit_after: Some(1500) ) ``` ...in order to run each test for 1500 frames. The recent changes to `many_cubes` and `bevymark` added reproducible random number generation so that with the same settings, the same rng will occur. They also added benchmark modes that use a fixed delta time for animations. Combined this means that the same frames should be rendered both on main and on the branch. The graphs compare main (yellow) to this PR (red). ### 3D Mesh `many_cubes --benchmark` <img width="1411" alt="Screenshot 2023-09-03 at 23 42 10" src="https://github.com/bevyengine/bevy/assets/302146/2088716a-c918-486c-8129-090b26fd2bc4"> The mesh and material are the same for all instances. This is basically the best case for the initial batching implementation as it results in 1 draw for the ~11.7k visible meshes. It gives a ~30% reduction in median frame time. The 1000th frame is identical using the flip tool: ![flip many_cubes-main-mesh3d many_cubes-batching-mesh3d 67ppd ldr](https://github.com/bevyengine/bevy/assets/302146/2511f37a-6df8-481a-932f-706ca4de7643) ``` Mean: 0.000000 Weighted median: 0.000000 1st weighted quartile: 0.000000 3rd weighted quartile: 0.000000 Min: 0.000000 Max: 0.000000 Evaluation time: 0.4615 seconds ``` ### 3D Mesh `many_cubes --benchmark --material-texture-count 10` <img width="1404" alt="Screenshot 2023-09-03 at 23 45 18" src="https://github.com/bevyengine/bevy/assets/302146/5ee9c447-5bd2-45c6-9706-ac5ff8916daf"> This run uses 10 different materials by varying their textures. The materials are randomly selected, and there is no sorting by material bind group for opaque 3D so any batching is 'random'. The PR produces a ~5% reduction in median frame time. If we were to sort the opaque phase by the material bind group, then this should be a lot faster. This produces about 10.5k draws for the 11.7k visible entities. This makes sense as randomly selecting from 10 materials gives a chance that two adjacent entities randomly select the same material and can be batched. The 1000th frame is identical in flip: ![flip many_cubes-main-mesh3d-mtc10 many_cubes-batching-mesh3d-mtc10 67ppd ldr](https://github.com/bevyengine/bevy/assets/302146/2b3a8614-9466-4ed8-b50c-d4aa71615dbb) ``` Mean: 0.000000 Weighted median: 0.000000 1st weighted quartile: 0.000000 3rd weighted quartile: 0.000000 Min: 0.000000 Max: 0.000000 Evaluation time: 0.4537 seconds ``` ### 3D Mesh `many_cubes --benchmark --vary-per-instance` <img width="1394" alt="Screenshot 2023-09-03 at 23 48 44" src="https://github.com/bevyengine/bevy/assets/302146/f02a816b-a444-4c18-a96a-63b5436f3b7f"> This run varies the material data per instance by randomly-generating its colour. This is the worst case for batching and that it performs about the same as `main` is a good thing as it demonstrates that the batching has minimal overhead when dealing with ~11k visible mesh entities. The 1000th frame is identical according to flip: ![flip many_cubes-main-mesh3d-vpi many_cubes-batching-mesh3d-vpi 67ppd ldr](https://github.com/bevyengine/bevy/assets/302146/ac5f5c14-9bda-4d1a-8219-7577d4aac68c) ``` Mean: 0.000000 Weighted median: 0.000000 1st weighted quartile: 0.000000 3rd weighted quartile: 0.000000 Min: 0.000000 Max: 0.000000 Evaluation time: 0.4568 seconds ``` ### 2D Mesh `bevymark --benchmark --waves 160 --per-wave 1000 --mode mesh2d` <img width="1412" alt="Screenshot 2023-09-03 at 23 59 56" src="https://github.com/bevyengine/bevy/assets/302146/cb02ae07-237b-4646-ae9f-fda4dafcbad4"> This spawns 160 waves of 1000 quad meshes that are shaded with ColorMaterial. Each wave has a different material so 160 waves currently should result in 160 batches. This results in a 50% reduction in median frame time. Capturing a screenshot of the 1000th frame main vs PR gives: ![flip bevymark-main-mesh2d bevymark-batching-mesh2d 67ppd ldr](https://github.com/bevyengine/bevy/assets/302146/80102728-1217-4059-87af-14d05044df40) ``` Mean: 0.001222 Weighted median: 0.750432 1st weighted quartile: 0.453494 3rd weighted quartile: 0.969758 Min: 0.000000 Max: 0.990296 Evaluation time: 0.4255 seconds ``` So they seem to produce the same results. I also double-checked the number of draws. `main` does 160000 draws, and the PR does 160, as expected. ### 2D Mesh `bevymark --benchmark --waves 160 --per-wave 1000 --mode mesh2d --material-texture-count 10` <img width="1392" alt="Screenshot 2023-09-04 at 00 09 22" src="https://github.com/bevyengine/bevy/assets/302146/4358da2e-ce32-4134-82df-3ab74c40849c"> This generates 10 textures and generates materials for each of those and then selects one material per wave. The median frame time is reduced by 50%. Similar to the plain run above, this produces 160 draws on the PR and 160000 on `main` and the 1000th frame is identical (ignoring the fps counter text overlay). ![flip bevymark-main-mesh2d-mtc10 bevymark-batching-mesh2d-mtc10 67ppd ldr](https://github.com/bevyengine/bevy/assets/302146/ebed2822-dce7-426a-858b-b77dc45b986f) ``` Mean: 0.002877 Weighted median: 0.964980 1st weighted quartile: 0.668871 3rd weighted quartile: 0.982749 Min: 0.000000 Max: 0.992377 Evaluation time: 0.4301 seconds ``` ### 2D Mesh `bevymark --benchmark --waves 160 --per-wave 1000 --mode mesh2d --vary-per-instance` <img width="1396" alt="Screenshot 2023-09-04 at 00 13 53" src="https://github.com/bevyengine/bevy/assets/302146/b2198b18-3439-47ad-919a-cdabe190facb"> This creates unique materials per instance by randomly-generating the material's colour. This is the worst case for 2D batching. Somehow, this PR manages a 7% reduction in median frame time. Both main and this PR issue 160000 draws. The 1000th frame is the same: ![flip bevymark-main-mesh2d-vpi bevymark-batching-mesh2d-vpi 67ppd ldr](https://github.com/bevyengine/bevy/assets/302146/a2ec471c-f576-4a36-a23b-b24b22578b97) ``` Mean: 0.001214 Weighted median: 0.937499 1st weighted quartile: 0.635467 3rd weighted quartile: 0.979085 Min: 0.000000 Max: 0.988971 Evaluation time: 0.4462 seconds ``` ### 2D Sprite `bevymark --benchmark --waves 160 --per-wave 1000 --mode sprite` <img width="1396" alt="Screenshot 2023-09-04 at 12 21 12" src="https://github.com/bevyengine/bevy/assets/302146/8b31e915-d6be-4cac-abf5-c6a4da9c3d43"> This just spawns 160 waves of 1000 sprites. There should be and is no notable difference between main and the PR. ### 2D Sprite `bevymark --benchmark --waves 160 --per-wave 1000 --mode sprite --material-texture-count 10` <img width="1389" alt="Screenshot 2023-09-04 at 12 36 08" src="https://github.com/bevyengine/bevy/assets/302146/45fe8d6d-c901-4062-a349-3693dd044413"> This spawns the sprites selecting a texture at random per instance from the 10 generated textures. This has no significant change vs main and shouldn't. ### 2D Sprite `bevymark --benchmark --waves 160 --per-wave 1000 --mode sprite --vary-per-instance` <img width="1401" alt="Screenshot 2023-09-04 at 12 29 52" src="https://github.com/bevyengine/bevy/assets/302146/762c5c60-352e-471f-8dbe-bbf10e24ebd6"> This sets the sprite colour as being unique per instance. This can still all be drawn using one batch. There should be no difference but the PR produces median frame times that are 4% higher. Investigation showed no clear sources of cost, rather a mix of give and take that should not happen. It seems like noise in the results. ### Summary | Benchmark | % change in median frame time | | ------------- | ------------- | | many_cubes | 🟩 -30% | | many_cubes 10 materials | 🟩 -5% | | many_cubes unique materials | 🟩 ~0% | | bevymark mesh2d | 🟩 -50% | | bevymark mesh2d 10 materials | 🟩 -50% | | bevymark mesh2d unique materials | 🟩 -7% | | bevymark sprite | 🟥 2% | | bevymark sprite 10 materials | 🟥 0.6% | | bevymark sprite unique materials | 🟥 4.1% | --- ## Changelog - Added: 2D and 3D mesh entities that share the same mesh and material (same textures, same data) are now batched into the same draw command for better performance. --------- Co-authored-by: robtfm <50659922+robtfm@users.noreply.github.com> Co-authored-by: Nicola Papale <nico@nicopap.ch> |
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Nicola Papale
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7163aabf29
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Use a single line for of large binding lists (#9849)
# Objective - When adding/removing bindings in large binding lists, git would generate very difficult-to-read diffs ## Solution - Move the `@group(X) @binding(Y)` into the same line as the binding type declaration |
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Carter Anderson
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5eb292dc10
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Bevy Asset V2 (#8624)
# Bevy Asset V2 Proposal ## Why Does Bevy Need A New Asset System? Asset pipelines are a central part of the gamedev process. Bevy's current asset system is missing a number of features that make it non-viable for many classes of gamedev. After plenty of discussions and [a long community feedback period](https://github.com/bevyengine/bevy/discussions/3972), we've identified a number missing features: * **Asset Preprocessing**: it should be possible to "preprocess" / "compile" / "crunch" assets at "development time" rather than when the game starts up. This enables offloading expensive work from deployed apps, faster asset loading, less runtime memory usage, etc. * **Per-Asset Loader Settings**: Individual assets cannot define their own loaders that override the defaults. Additionally, they cannot provide per-asset settings to their loaders. This is a huge limitation, as many asset types don't provide all information necessary for Bevy _inside_ the asset. For example, a raw PNG image says nothing about how it should be sampled (ex: linear vs nearest). * **Asset `.meta` files**: assets should have configuration files stored adjacent to the asset in question, which allows the user to configure asset-type-specific settings. These settings should be accessible during the pre-processing phase. Modifying a `.meta` file should trigger a re-processing / re-load of the asset. It should be possible to configure asset loaders from the meta file. * **Processed Asset Hot Reloading**: Changes to processed assets (or their dependencies) should result in re-processing them and re-loading the results in live Bevy Apps. * **Asset Dependency Tracking**: The current bevy_asset has no good way to wait for asset dependencies to load. It punts this as an exercise for consumers of the loader apis, which is unreasonable and error prone. There should be easy, ergonomic ways to wait for assets to load and block some logic on an asset's entire dependency tree loading. * **Runtime Asset Loading**: it should be (optionally) possible to load arbitrary assets dynamically at runtime. This necessitates being able to deploy and run the asset server alongside Bevy Apps on _all platforms_. For example, we should be able to invoke the shader compiler at runtime, stream scenes from sources like the internet, etc. To keep deployed binaries (and startup times) small, the runtime asset server configuration should be configurable with different settings compared to the "pre processor asset server". * **Multiple Backends**: It should be possible to load assets from arbitrary sources (filesystems, the internet, remote asset serves, etc). * **Asset Packing**: It should be possible to deploy assets in compressed "packs", which makes it easier and more efficient to distribute assets with Bevy Apps. * **Asset Handoff**: It should be possible to hold a "live" asset handle, which correlates to runtime data, without actually holding the asset in memory. Ex: it must be possible to hold a reference to a GPU mesh generated from a "mesh asset" without keeping the mesh data in CPU memory * **Per-Platform Processed Assets**: Different platforms and app distributions have different capabilities and requirements. Some platforms need lower asset resolutions or different asset formats to operate within the hardware constraints of the platform. It should be possible to define per-platform asset processing profiles. And it should be possible to deploy only the assets required for a given platform. These features have architectural implications that are significant enough to require a full rewrite. The current Bevy Asset implementation got us this far, but it can take us no farther. This PR defines a brand new asset system that implements most of these features, while laying the foundations for the remaining features to be built. ## Bevy Asset V2 Here is a quick overview of the features introduced in this PR. * **Asset Preprocessing**: Preprocess assets at development time into more efficient (and configurable) representations * **Dependency Aware**: Dependencies required to process an asset are tracked. If an asset's processed dependency changes, it will be reprocessed * **Hot Reprocessing/Reloading**: detect changes to asset source files, reprocess them if they have changed, and then hot-reload them in Bevy Apps. * **Only Process Changes**: Assets are only re-processed when their source file (or meta file) has changed. This uses hashing and timestamps to avoid processing assets that haven't changed. * **Transactional and Reliable**: Uses write-ahead logging (a technique commonly used by databases) to recover from crashes / forced-exits. Whenever possible it avoids full-reprocessing / only uncompleted transactions will be reprocessed. When the processor is running in parallel with a Bevy App, processor asset writes block Bevy App asset reads. Reading metadata + asset bytes is guaranteed to be transactional / correctly paired. * **Portable / Run anywhere / Database-free**: The processor does not rely on an in-memory database (although it uses some database techniques for reliability). This is important because pretty much all in-memory databases have unsupported platforms or build complications. * **Configure Processor Defaults Per File Type**: You can say "use this processor for all files of this type". * **Custom Processors**: The `Processor` trait is flexible and unopinionated. It can be implemented by downstream plugins. * **LoadAndSave Processors**: Most asset processing scenarios can be expressed as "run AssetLoader A, save the results using AssetSaver X, and then load the result using AssetLoader B". For example, load this png image using `PngImageLoader`, which produces an `Image` asset and then save it using `CompressedImageSaver` (which also produces an `Image` asset, but in a compressed format), which takes an `Image` asset as input. This means if you have an `AssetLoader` for an asset, you are already half way there! It also means that you can share AssetSavers across multiple loaders. Because `CompressedImageSaver` accepts Bevy's generic Image asset as input, it means you can also use it with some future `JpegImageLoader`. * **Loader and Saver Settings**: Asset Loaders and Savers can now define their own settings types, which are passed in as input when an asset is loaded / saved. Each asset can define its own settings. * **Asset `.meta` files**: configure asset loaders, their settings, enable/disable processing, and configure processor settings * **Runtime Asset Dependency Tracking** Runtime asset dependencies (ex: if an asset contains a `Handle<Image>`) are tracked by the asset server. An event is emitted when an asset and all of its dependencies have been loaded * **Unprocessed Asset Loading**: Assets do not require preprocessing. They can be loaded directly. A processed asset is just a "normal" asset with some extra metadata. Asset Loaders don't need to know or care about whether or not an asset was processed. * **Async Asset IO**: Asset readers/writers use async non-blocking interfaces. Note that because Rust doesn't yet support async traits, there is a bit of manual Boxing / Future boilerplate. This will hopefully be removed in the near future when Rust gets async traits. * **Pluggable Asset Readers and Writers**: Arbitrary asset source readers/writers are supported, both by the processor and the asset server. * **Better Asset Handles** * **Single Arc Tree**: Asset Handles now use a single arc tree that represents the lifetime of the asset. This makes their implementation simpler, more efficient, and allows us to cheaply attach metadata to handles. Ex: the AssetPath of a handle is now directly accessible on the handle itself! * **Const Typed Handles**: typed handles can be constructed in a const context. No more weird "const untyped converted to typed at runtime" patterns! * **Handles and Ids are Smaller / Faster To Hash / Compare**: Typed `Handle<T>` is now much smaller in memory and `AssetId<T>` is even smaller. * **Weak Handle Usage Reduction**: In general Handles are now considered to be "strong". Bevy features that previously used "weak `Handle<T>`" have been ported to `AssetId<T>`, which makes it statically clear that the features do not hold strong handles (while retaining strong type information). Currently Handle::Weak still exists, but it is very possible that we can remove that entirely. * **Efficient / Dense Asset Ids**: Assets now have efficient dense runtime asset ids, which means we can avoid expensive hash lookups. Assets are stored in Vecs instead of HashMaps. There are now typed and untyped ids, which means we no longer need to store dynamic type information in the ID for typed handles. "AssetPathId" (which was a nightmare from a performance and correctness standpoint) has been entirely removed in favor of dense ids (which are retrieved for a path on load) * **Direct Asset Loading, with Dependency Tracking**: Assets that are defined at runtime can still have their dependencies tracked by the Asset Server (ex: if you create a material at runtime, you can still wait for its textures to load). This is accomplished via the (currently optional) "asset dependency visitor" trait. This system can also be used to define a set of assets to load, then wait for those assets to load. * **Async folder loading**: Folder loading also uses this system and immediately returns a handle to the LoadedFolder asset, which means folder loading no longer blocks on directory traversals. * **Improved Loader Interface**: Loaders now have a specific "top level asset type", which makes returning the top-level asset simpler and statically typed. * **Basic Image Settings and Processing**: Image assets can now be processed into the gpu-friendly Basic Universal format. The ImageLoader now has a setting to define what format the image should be loaded as. Note that this is just a minimal MVP ... plenty of additional work to do here. To demo this, enable the `basis-universal` feature and turn on asset processing. * **Simpler Audio Play / AudioSink API**: Asset handle providers are cloneable, which means the Audio resource can mint its own handles. This means you can now do `let sink_handle = audio.play(music)` instead of `let sink_handle = audio_sinks.get_handle(audio.play(music))`. Note that this might still be replaced by https://github.com/bevyengine/bevy/pull/8424. **Removed Handle Casting From Engine Features**: Ex: FontAtlases no longer use casting between handle types ## Using The New Asset System ### Normal Unprocessed Asset Loading By default the `AssetPlugin` does not use processing. It behaves pretty much the same way as the old system. If you are defining a custom asset, first derive `Asset`: ```rust #[derive(Asset)] struct Thing { value: String, } ``` Initialize the asset: ```rust app.init_asset:<Thing>() ``` Implement a new `AssetLoader` for it: ```rust #[derive(Default)] struct ThingLoader; #[derive(Serialize, Deserialize, Default)] pub struct ThingSettings { some_setting: bool, } impl AssetLoader for ThingLoader { type Asset = Thing; type Settings = ThingSettings; fn load<'a>( &'a self, reader: &'a mut Reader, settings: &'a ThingSettings, load_context: &'a mut LoadContext, ) -> BoxedFuture<'a, Result<Thing, anyhow::Error>> { Box::pin(async move { let mut bytes = Vec::new(); reader.read_to_end(&mut bytes).await?; // convert bytes to value somehow Ok(Thing { value }) }) } fn extensions(&self) -> &[&str] { &["thing"] } } ``` Note that this interface will get much cleaner once Rust gets support for async traits. `Reader` is an async futures_io::AsyncRead. You can stream bytes as they come in or read them all into a `Vec<u8>`, depending on the context. You can use `let handle = load_context.load(path)` to kick off a dependency load, retrieve a handle, and register the dependency for the asset. Then just register the loader in your Bevy app: ```rust app.init_asset_loader::<ThingLoader>() ``` Now just add your `Thing` asset files into the `assets` folder and load them like this: ```rust fn system(asset_server: Res<AssetServer>) { let handle = Handle<Thing> = asset_server.load("cool.thing"); } ``` You can check load states directly via the asset server: ```rust if asset_server.load_state(&handle) == LoadState::Loaded { } ``` You can also listen for events: ```rust fn system(mut events: EventReader<AssetEvent<Thing>>, handle: Res<SomeThingHandle>) { for event in events.iter() { if event.is_loaded_with_dependencies(&handle) { } } } ``` Note the new `AssetEvent::LoadedWithDependencies`, which only fires when the asset is loaded _and_ all dependencies (and their dependencies) have loaded. Unlike the old asset system, for a given asset path all `Handle<T>` values point to the same underlying Arc. This means Handles can cheaply hold more asset information, such as the AssetPath: ```rust // prints the AssetPath of the handle info!("{:?}", handle.path()) ``` ### Processed Assets Asset processing can be enabled via the `AssetPlugin`. When developing Bevy Apps with processed assets, do this: ```rust app.add_plugins(DefaultPlugins.set(AssetPlugin::processed_dev())) ``` This runs the `AssetProcessor` in the background with hot-reloading. It reads assets from the `assets` folder, processes them, and writes them to the `.imported_assets` folder. Asset loads in the Bevy App will wait for a processed version of the asset to become available. If an asset in the `assets` folder changes, it will be reprocessed and hot-reloaded in the Bevy App. When deploying processed Bevy apps, do this: ```rust app.add_plugins(DefaultPlugins.set(AssetPlugin::processed())) ``` This does not run the `AssetProcessor` in the background. It behaves like `AssetPlugin::unprocessed()`, but reads assets from `.imported_assets`. When the `AssetProcessor` is running, it will populate sibling `.meta` files for assets in the `assets` folder. Meta files for assets that do not have a processor configured look like this: ```rust ( meta_format_version: "1.0", asset: Load( loader: "bevy_render::texture::image_loader::ImageLoader", settings: ( format: FromExtension, ), ), ) ``` This is metadata for an image asset. For example, if you have `assets/my_sprite.png`, this could be the metadata stored at `assets/my_sprite.png.meta`. Meta files are totally optional. If no metadata exists, the default settings will be used. In short, this file says "load this asset with the ImageLoader and use the file extension to determine the image type". This type of meta file is supported in all AssetPlugin modes. If in `Unprocessed` mode, the asset (with the meta settings) will be loaded directly. If in `ProcessedDev` mode, the asset file will be copied directly to the `.imported_assets` folder. The meta will also be copied directly to the `.imported_assets` folder, but with one addition: ```rust ( meta_format_version: "1.0", processed_info: Some(( hash: 12415480888597742505, full_hash: 14344495437905856884, process_dependencies: [], )), asset: Load( loader: "bevy_render::texture::image_loader::ImageLoader", settings: ( format: FromExtension, ), ), ) ``` `processed_info` contains `hash` (a direct hash of the asset and meta bytes), `full_hash` (a hash of `hash` and the hashes of all `process_dependencies`), and `process_dependencies` (the `path` and `full_hash` of every process_dependency). A "process dependency" is an asset dependency that is _directly_ used when processing the asset. Images do not have process dependencies, so this is empty. When the processor is enabled, you can use the `Process` metadata config: ```rust ( meta_format_version: "1.0", asset: Process( processor: "bevy_asset::processor::process::LoadAndSave<bevy_render::texture::image_loader::ImageLoader, bevy_render::texture::compressed_image_saver::CompressedImageSaver>", settings: ( loader_settings: ( format: FromExtension, ), saver_settings: ( generate_mipmaps: true, ), ), ), ) ``` This configures the asset to use the `LoadAndSave` processor, which runs an AssetLoader and feeds the result into an AssetSaver (which saves the given Asset and defines a loader to load it with). (for terseness LoadAndSave will likely get a shorter/friendlier type name when [Stable Type Paths](#7184) lands). `LoadAndSave` is likely to be the most common processor type, but arbitrary processors are supported. `CompressedImageSaver` saves an `Image` in the Basis Universal format and configures the ImageLoader to load it as basis universal. The `AssetProcessor` will read this meta, run it through the LoadAndSave processor, and write the basis-universal version of the image to `.imported_assets`. The final metadata will look like this: ```rust ( meta_format_version: "1.0", processed_info: Some(( hash: 905599590923828066, full_hash: 9948823010183819117, process_dependencies: [], )), asset: Load( loader: "bevy_render::texture::image_loader::ImageLoader", settings: ( format: Format(Basis), ), ), ) ``` To try basis-universal processing out in Bevy examples, (for example `sprite.rs`), change `add_plugins(DefaultPlugins)` to `add_plugins(DefaultPlugins.set(AssetPlugin::processed_dev()))` and run with the `basis-universal` feature enabled: `cargo run --features=basis-universal --example sprite`. To create a custom processor, there are two main paths: 1. Use the `LoadAndSave` processor with an existing `AssetLoader`. Implement the `AssetSaver` trait, register the processor using `asset_processor.register_processor::<LoadAndSave<ImageLoader, CompressedImageSaver>>(image_saver.into())`. 2. Implement the `Process` trait directly and register it using: `asset_processor.register_processor(thing_processor)`. You can configure default processors for file extensions like this: ```rust asset_processor.set_default_processor::<ThingProcessor>("thing") ``` There is one more metadata type to be aware of: ```rust ( meta_format_version: "1.0", asset: Ignore, ) ``` This will ignore the asset during processing / prevent it from being written to `.imported_assets`. The AssetProcessor stores a transaction log at `.imported_assets/log` and uses it to gracefully recover from unexpected stops. This means you can force-quit the processor (and Bevy Apps running the processor in parallel) at arbitrary times! `.imported_assets` is "local state". It should _not_ be checked into source control. It should also be considered "read only". In practice, you _can_ modify processed assets and processed metadata if you really need to test something. But those modifications will not be represented in the hashes of the assets, so the processed state will be "out of sync" with the source assets. The processor _will not_ fix this for you. Either revert the change after you have tested it, or delete the processed files so they can be re-populated. ## Open Questions There are a number of open questions to be discussed. We should decide if they need to be addressed in this PR and if so, how we will address them: ### Implied Dependencies vs Dependency Enumeration There are currently two ways to populate asset dependencies: * **Implied via AssetLoaders**: if an AssetLoader loads an asset (and retrieves a handle), a dependency is added to the list. * **Explicit via the optional Asset::visit_dependencies**: if `server.load_asset(my_asset)` is called, it will call `my_asset.visit_dependencies`, which will grab dependencies that have been manually defined for the asset via the Asset trait impl (which can be derived). This means that defining explicit dependencies is optional for "loaded assets". And the list of dependencies is always accurate because loaders can only produce Handles if they register dependencies. If an asset was loaded with an AssetLoader, it only uses the implied dependencies. If an asset was created at runtime and added with `asset_server.load_asset(MyAsset)`, it will use `Asset::visit_dependencies`. However this can create a behavior mismatch between loaded assets and equivalent "created at runtime" assets if `Assets::visit_dependencies` doesn't exactly match the dependencies produced by the AssetLoader. This behavior mismatch can be resolved by completely removing "implied loader dependencies" and requiring `Asset::visit_dependencies` to supply dependency data. But this creates two problems: * It makes defining loaded assets harder and more error prone: Devs must remember to manually annotate asset dependencies with `#[dependency]` when deriving `Asset`. For more complicated assets (such as scenes), the derive likely wouldn't be sufficient and a manual `visit_dependencies` impl would be required. * Removes the ability to immediately kick off dependency loads: When AssetLoaders retrieve a Handle, they also immediately kick off an asset load for the handle, which means it can start loading in parallel _before_ the asset finishes loading. For large assets, this could be significant. (although this could be mitigated for processed assets if we store dependencies in the processed meta file and load them ahead of time) ### Eager ProcessorDev Asset Loading I made a controversial call in the interest of fast startup times ("time to first pixel") for the "processor dev mode configuration". When initializing the AssetProcessor, current processed versions of unchanged assets are yielded immediately, even if their dependencies haven't been checked yet for reprocessing. This means that non-current-state-of-filesystem-but-previously-valid assets might be returned to the App first, then hot-reloaded if/when their dependencies change and the asset is reprocessed. Is this behavior desirable? There is largely one alternative: do not yield an asset from the processor to the app until all of its dependencies have been checked for changes. In some common cases (load dependency has not changed since last run) this will increase startup time. The main question is "by how much" and is that slower startup time worth it in the interest of only yielding assets that are true to the current state of the filesystem. Should this be configurable? I'm starting to think we should only yield an asset after its (historical) dependencies have been checked for changes + processed as necessary, but I'm curious what you all think. ### Paths Are Currently The Only Canonical ID / Do We Want Asset UUIDs? In this implementation AssetPaths are the only canonical asset identifier (just like the previous Bevy Asset system and Godot). Moving assets will result in re-scans (and currently reprocessing, although reprocessing can easily be avoided with some changes). Asset renames/moves will break code and assets that rely on specific paths, unless those paths are fixed up. Do we want / need "stable asset uuids"? Introducing them is very possible: 1. Generate a UUID and include it in .meta files 2. Support UUID in AssetPath 3. Generate "asset indices" which are loaded on startup and map UUIDs to paths. 4 (maybe). Consider only supporting UUIDs for processed assets so we can generate quick-to-load indices instead of scanning meta files. The main "pro" is that assets referencing UUIDs don't need to be migrated when a path changes. The main "con" is that UUIDs cannot be "lazily resolved" like paths. They need a full view of all assets to answer the question "does this UUID exist". Which means UUIDs require the AssetProcessor to fully finish startup scans before saying an asset doesnt exist. And they essentially require asset pre-processing to use in apps, because scanning all asset metadata files at runtime to resolve a UUID is not viable for medium-to-large apps. It really requires a pre-generated UUID index, which must be loaded before querying for assets. I personally think this should be investigated in a separate PR. Paths aren't going anywhere ... _everyone_ uses filesystems (and filesystem-like apis) to manage their asset source files. I consider them permanent canonical asset information. Additionally, they behave well for both processed and unprocessed asset modes. Given that Bevy is supporting both, this feels like the right canonical ID to start with. UUIDS (and maybe even other indexed-identifier types) can be added later as necessary. ### Folder / File Naming Conventions All asset processing config currently lives in the `.imported_assets` folder. The processor transaction log is in `.imported_assets/log`. Processed assets are added to `.imported_assets/Default`, which will make migrating to processed asset profiles (ex: a `.imported_assets/Mobile` profile) a non-breaking change. It also allows us to create top-level files like `.imported_assets/log` without it being interpreted as an asset. Meta files currently have a `.meta` suffix. Do we like these names and conventions? ### Should the `AssetPlugin::processed_dev` configuration enable `watch_for_changes` automatically? Currently it does (which I think makes sense), but it does make it the only configuration that enables watch_for_changes by default. ### Discuss on_loaded High Level Interface: This PR includes a very rough "proof of concept" `on_loaded` system adapter that uses the `LoadedWithDependencies` event in combination with `asset_server.load_asset` dependency tracking to support this pattern ```rust fn main() { App::new() .init_asset::<MyAssets>() .add_systems(Update, on_loaded(create_array_texture)) .run(); } #[derive(Asset, Clone)] struct MyAssets { #[dependency] picture_of_my_cat: Handle<Image>, #[dependency] picture_of_my_other_cat: Handle<Image>, } impl FromWorld for ArrayTexture { fn from_world(world: &mut World) -> Self { picture_of_my_cat: server.load("meow.png"), picture_of_my_other_cat: server.load("meeeeeeeow.png"), } } fn spawn_cat(In(my_assets): In<MyAssets>, mut commands: Commands) { commands.spawn(SpriteBundle { texture: my_assets.picture_of_my_cat.clone(), ..default() }); commands.spawn(SpriteBundle { texture: my_assets.picture_of_my_other_cat.clone(), ..default() }); } ``` The implementation is _very_ rough. And it is currently unsafe because `bevy_ecs` doesn't expose some internals to do this safely from inside `bevy_asset`. There are plenty of unanswered questions like: * "do we add a Loadable" derive? (effectively automate the FromWorld implementation above) * Should `MyAssets` even be an Asset? (largely implemented this way because it elegantly builds on `server.load_asset(MyAsset { .. })` dependency tracking). We should think hard about what our ideal API looks like (and if this is a pattern we want to support). Not necessarily something we need to solve in this PR. The current `on_loaded` impl should probably be removed from this PR before merging. ## Clarifying Questions ### What about Assets as Entities? This Bevy Asset V2 proposal implementation initially stored Assets as ECS Entities. Instead of `AssetId<T>` + the `Assets<T>` resource it used `Entity` as the asset id and Asset values were just ECS components. There are plenty of compelling reasons to do this: 1. Easier to inline assets in Bevy Scenes (as they are "just" normal entities + components) 2. More flexible queries: use the power of the ECS to filter assets (ex: `Query<Mesh, With<Tree>>`). 3. Extensible. Users can add arbitrary component data to assets. 4. Things like "component visualization tools" work out of the box to visualize asset data. However Assets as Entities has a ton of caveats right now: * We need to be able to allocate entity ids without a direct World reference (aka rework id allocator in Entities ... i worked around this in my prototypes by just pre allocating big chunks of entities) * We want asset change events in addition to ECS change tracking ... how do we populate them when mutations can come from anywhere? Do we use Changed queries? This would require iterating over the change data for all assets every frame. Is this acceptable or should we implement a new "event based" component change detection option? * Reconciling manually created assets with asset-system managed assets has some nuance (ex: are they "loaded" / do they also have that component metadata?) * "how do we handle "static" / default entity handles" (ties in to the Entity Indices discussion: https://github.com/bevyengine/bevy/discussions/8319). This is necessary for things like "built in" assets and default handles in things like SpriteBundle. * Storing asset information as a component makes it easy to "invalidate" asset state by removing the component (or forcing modifications). Ideally we have ways to lock this down (some combination of Rust type privacy and ECS validation) In practice, how we store and identify assets is a reasonably superficial change (porting off of Assets as Entities and implementing dedicated storage + ids took less than a day). So once we sort out the remaining challenges the flip should be straightforward. Additionally, I do still have "Assets as Entities" in my commit history, so we can reuse that work. I personally think "assets as entities" is a good endgame, but it also doesn't provide _significant_ value at the moment and it certainly isn't ready yet with the current state of things. ### Why not Distill? [Distill](https://github.com/amethyst/distill) is a high quality fully featured asset system built in Rust. It is very natural to ask "why not just use Distill?". It is also worth calling out that for awhile, [we planned on adopting Distill / I signed off on it](https://github.com/bevyengine/bevy/issues/708). However I think Bevy has a number of constraints that make Distill adoption suboptimal: * **Architectural Simplicity:** * Distill's processor requires an in-memory database (lmdb) and RPC networked API (using Cap'n Proto). Each of these introduces API complexity that increases maintenance burden and "code grokability". Ignoring tests, documentation, and examples, Distill has 24,237 lines of Rust code (including generated code for RPC + database interactions). If you ignore generated code, it has 11,499 lines. * Bevy builds the AssetProcessor and AssetServer using pluggable AssetReader/AssetWriter Rust traits with simple io interfaces. They do not necessitate databases or RPC interfaces (although Readers/Writers could use them if that is desired). Bevy Asset V2 (at the time of writing this PR) is 5,384 lines of Rust code (ignoring tests, documentation, and examples). Grain of salt: Distill does have more features currently (ex: Asset Packing, GUIDS, remote-out-of-process asset processor). I do plan to implement these features in Bevy Asset V2 and I personally highly doubt they will meaningfully close the 6115 lines-of-code gap. * This complexity gap (which while illustrated by lines of code, is much bigger than just that) is noteworthy to me. Bevy should be hackable and there are pillars of Distill that are very hard to understand and extend. This is a matter of opinion (and Bevy Asset V2 also has complicated areas), but I think Bevy Asset V2 is much more approachable for the average developer. * Necessary disclaimer: counting lines of code is an extremely rough complexity metric. Read the code and form your own opinions. * **Optional Asset Processing:** Not all Bevy Apps (or Bevy App developers) need / want asset preprocessing. Processing increases the complexity of the development environment by introducing things like meta files, imported asset storage, running processors in the background, waiting for processing to finish, etc. Distill _requires_ preprocessing to work. With Bevy Asset V2 processing is fully opt-in. The AssetServer isn't directly aware of asset processors at all. AssetLoaders only care about converting bytes to runtime Assets ... they don't know or care if the bytes were pre-processed or not. Processing is "elegantly" (forgive my self-congratulatory phrasing) layered on top and builds on the existing Asset system primitives. * **Direct Filesystem Access to Processed Asset State:** Distill stores processed assets in a database. This makes debugging / inspecting the processed outputs harder (either requires special tooling to query the database or they need to be "deployed" to be inspected). Bevy Asset V2, on the other hand, stores processed assets in the filesystem (by default ... this is configurable). This makes interacting with the processed state more natural. Note that both Godot and Unity's new asset system store processed assets in the filesystem. * **Portability**: Because Distill's processor uses lmdb and RPC networking, it cannot be run on certain platforms (ex: lmdb is a non-rust dependency that cannot run on the web, some platforms don't support running network servers). Bevy should be able to process assets everywhere (ex: run the Bevy Editor on the web, compile + process shaders on mobile, etc). Distill does partially mitigate this problem by supporting "streaming" assets via the RPC protocol, but this is not a full solve from my perspective. And Bevy Asset V2 can (in theory) also stream assets (without requiring RPC, although this isn't implemented yet) Note that I _do_ still think Distill would be a solid asset system for Bevy. But I think the approach in this PR is a better solve for Bevy's specific "asset system requirements". ### Doesn't async-fs just shim requests to "sync" `std::fs`? What is the point? "True async file io" has limited / spotty platform support. async-fs (and the rust async ecosystem generally ... ex Tokio) currently use async wrappers over std::fs that offload blocking requests to separate threads. This may feel unsatisfying, but it _does_ still provide value because it prevents our task pools from blocking on file system operations (which would prevent progress when there are many tasks to do, but all threads in a pool are currently blocking on file system ops). Additionally, using async APIs for our AssetReaders and AssetWriters also provides value because we can later add support for "true async file io" for platforms that support it. _And_ we can implement other "true async io" asset backends (such as networked asset io). ## Draft TODO - [x] Fill in missing filesystem event APIs: file removed event (which is expressed as dangling RenameFrom events in some cases), file/folder renamed event - [x] Assets without loaders are not moved to the processed folder. This breaks things like referenced `.bin` files for GLTFs. This should be configurable per-non-asset-type. - [x] Initial implementation of Reflect and FromReflect for Handle. The "deserialization" parity bar is low here as this only worked with static UUIDs in the old impl ... this is a non-trivial problem. Either we add a Handle::AssetPath variant that gets "upgraded" to a strong handle on scene load or we use a separate AssetRef type for Bevy scenes (which is converted to a runtime Handle on load). This deserves its own discussion in a different pr. - [x] Populate read_asset_bytes hash when run by the processor (a bit of a special case .. when run by the processor the processed meta will contain the hash so we don't need to compute it on the spot, but we don't want/need to read the meta when run by the main AssetServer) - [x] Delay hot reloading: currently filesystem events are handled immediately, which creates timing issues in some cases. For example hot reloading images can sometimes break because the image isn't finished writing. We should add a delay, likely similar to the [implementation in this PR](https://github.com/bevyengine/bevy/pull/8503). - [x] Port old platform-specific AssetIo implementations to the new AssetReader interface (currently missing Android and web) - [x] Resolve on_loaded unsafety (either by removing the API entirely or removing the unsafe) - [x] Runtime loader setting overrides - [x] Remove remaining unwraps that should be error-handled. There are number of TODOs here - [x] Pretty AssetPath Display impl - [x] Document more APIs - [x] Resolve spurious "reloading because it has changed" events (to repro run load_gltf with `processed_dev()`) - [x] load_dependency hot reloading currently only works for processed assets. If processing is disabled, load_dependency changes are not hot reloaded. - [x] Replace AssetInfo dependency load/fail counters with `loading_dependencies: HashSet<UntypedAssetId>` to prevent reloads from (potentially) breaking counters. Storing this will also enable "dependency reloaded" events (see [Next Steps](#next-steps)) - [x] Re-add filesystem watcher cargo feature gate (currently it is not optional) - [ ] Migration Guide - [ ] Changelog ## Followup TODO - [ ] Replace "eager unchanged processed asset loading" behavior with "don't returned unchanged processed asset until dependencies have been checked". - [ ] Add true `Ignore` AssetAction that does not copy the asset to the imported_assets folder. - [ ] Finish "live asset unloading" (ex: free up CPU asset memory after uploading an image to the GPU), rethink RenderAssets, and port renderer features. The `Assets` collection uses `Option<T>` for asset storage to support its removal. (1) the Option might not actually be necessary ... might be able to just remove from the collection entirely (2) need to finalize removal apis - [ ] Try replacing the "channel based" asset id recycling with something a bit more efficient (ex: we might be able to use raw atomic ints with some cleverness) - [ ] Consider adding UUIDs to processed assets (scoped just to helping identify moved assets ... not exposed to load queries ... see [Next Steps](#next-steps)) - [ ] Store "last modified" source asset and meta timestamps in processed meta files to enable skipping expensive hashing when the file wasn't changed - [ ] Fix "slow loop" handle drop fix - [ ] Migrate to TypeName - [x] Handle "loader preregistration". See #9429 ## Next Steps * **Configurable per-type defaults for AssetMeta**: It should be possible to add configuration like "all png image meta should default to using nearest sampling" (currently this hard-coded per-loader/processor Settings::default() impls). Also see the "Folder Meta" bullet point. * **Avoid Reprocessing on Asset Renames / Moves**: See the "canonical asset ids" discussion in [Open Questions](#open-questions) and the relevant bullet point in [Draft TODO](#draft-todo). Even without canonical ids, folder renames could avoid reprocessing in some cases. * **Multiple Asset Sources**: Expand AssetPath to support "asset source names" and support multiple AssetReaders in the asset server (ex: `webserver://some_path/image.png` backed by an Http webserver AssetReader). The "default" asset reader would use normal `some_path/image.png` paths. Ideally this works in combination with multiple AssetWatchers for hot-reloading * **Stable Type Names**: this pr removes the TypeUuid requirement from assets in favor of `std::any::type_name`. This makes defining assets easier (no need to generate a new uuid / use weird proc macro syntax). It also makes reading meta files easier (because things have "friendly names"). We also use type names for components in scene files. If they are good enough for components, they are good enough for assets. And consistency across Bevy pillars is desirable. However, `std::any::type_name` is not guaranteed to be stable (although in practice it is). We've developed a [stable type path](https://github.com/bevyengine/bevy/pull/7184) to resolve this, which should be adopted when it is ready. * **Command Line Interface**: It should be possible to run the asset processor in a separate process from the command line. This will also require building a network-server-backed AssetReader to communicate between the app and the processor. We've been planning to build a "bevy cli" for awhile. This seems like a good excuse to build it. * **Asset Packing**: This is largely an additive feature, so it made sense to me to punt this until we've laid the foundations in this PR. * **Per-Platform Processed Assets**: It should be possible to generate assets for multiple platforms by supporting multiple "processor profiles" per asset (ex: compress with format X on PC and Y on iOS). I think there should probably be arbitrary "profiles" (which can be separate from actual platforms), which are then assigned to a given platform when generating the final asset distribution for that platform. Ex: maybe devs want a "Mobile" profile that is shared between iOS and Android. Or a "LowEnd" profile shared between web and mobile. * **Versioning and Migrations**: Assets, Loaders, Savers, and Processors need to have versions to determine if their schema is valid. If an asset / loader version is incompatible with the current version expected at runtime, the processor should be able to migrate them. I think we should try using Bevy Reflect for this, as it would allow us to load the old version as a dynamic Reflect type without actually having the old Rust type. It would also allow us to define "patches" to migrate between versions (Bevy Reflect devs are currently working on patching). The `.meta` file already has its own format version. Migrating that to new versions should also be possible. * **Real Copy-on-write AssetPaths**: Rust's actual Cow (clone-on-write type) currently used by AssetPath can still result in String clones that aren't actually necessary (cloning an Owned Cow clones the contents). Bevy's asset system requires cloning AssetPaths in a number of places, which result in actual clones of the internal Strings. This is not efficient. AssetPath internals should be reworked to exhibit truer cow-like-behavior that reduces String clones to the absolute minimum. * **Consider processor-less processing**: In theory the AssetServer could run processors "inline" even if the background AssetProcessor is disabled. If we decide this is actually desirable, we could add this. But I don't think its a priority in the short or medium term. * **Pre-emptive dependency loading**: We could encode dependencies in processed meta files, which could then be used by the Asset Server to kick of dependency loads as early as possible (prior to starting the actual asset load). Is this desirable? How much time would this save in practice? * **Optimize Processor With UntypedAssetIds**: The processor exclusively uses AssetPath to identify assets currently. It might be possible to swap these out for UntypedAssetIds in some places, which are smaller / cheaper to hash and compare. * **One to Many Asset Processing**: An asset source file that produces many assets currently must be processed into a single "processed" asset source. If labeled assets can be written separately they can each have their own configured savers _and_ they could be loaded more granularly. Definitely worth exploring! * **Automatically Track "Runtime-only" Asset Dependencies**: Right now, tracking "created at runtime" asset dependencies requires adding them via `asset_server.load_asset(StandardMaterial::default())`. I think with some cleverness we could also do this for `materials.add(StandardMaterial::default())`, making tracking work "everywhere". There are challenges here relating to change detection / ensuring the server is made aware of dependency changes. This could be expensive in some cases. * **"Dependency Changed" events**: Some assets have runtime artifacts that need to be re-generated when one of their dependencies change (ex: regenerate a material's bind group when a Texture needs to change). We are generating the dependency graph so we can definitely produce these events. Buuuuut generating these events will have a cost / they could be high frequency for some assets, so we might want this to be opt-in for specific cases. * **Investigate Storing More Information In Handles**: Handles can now store arbitrary information, which makes it cheaper and easier to access. How much should we move into them? Canonical asset load states (via atomics)? (`handle.is_loaded()` would be very cool). Should we store the entire asset and remove the `Assets<T>` collection? (`Arc<RwLock<Option<Image>>>`?) * **Support processing and loading files without extensions**: This is a pretty arbitrary restriction and could be supported with very minimal changes. * **Folder Meta**: It would be nice if we could define per folder processor configuration defaults (likely in a `.meta` or `.folder_meta` file). Things like "default to linear filtering for all Images in this folder". * **Replace async_broadcast with event-listener?** This might be approximately drop-in for some uses and it feels more light weight * **Support Running the AssetProcessor on the Web**: Most of the hard work is done here, but there are some easy straggling TODOs (make the transaction log an interface instead of a direct file writer so we can write a web storage backend, implement an AssetReader/AssetWriter that reads/writes to something like LocalStorage). * **Consider identifying and preventing circular dependencies**: This is especially important for "processor dependencies", as processing will silently never finish in these cases. * **Built-in/Inlined Asset Hot Reloading**: This PR regresses "built-in/inlined" asset hot reloading (previously provided by the DebugAssetServer). I'm intentionally punting this because I think it can be cleanly implemented with "multiple asset sources" by registering a "debug asset source" (ex: `debug://bevy_pbr/src/render/pbr.wgsl` asset paths) in combination with an AssetWatcher for that asset source and support for "manually loading pats with asset bytes instead of AssetReaders". The old DebugAssetServer was quite nasty and I'd love to avoid that hackery going forward. * **Investigate ways to remove double-parsing meta files**: Parsing meta files currently involves parsing once with "minimal" versions of the meta file to extract the type name of the loader/processor config, then parsing again to parse the "full" meta. This is suboptimal. We should be able to define custom deserializers that (1) assume the loader/processor type name comes first (2) dynamically looks up the loader/processor registrations to deserialize settings in-line (similar to components in the bevy scene format). Another alternative: deserialize as dynamic Reflect objects and then convert. * **More runtime loading configuration**: Support using the Handle type as a hint to select an asset loader (instead of relying on AssetPath extensions) * **More high level Processor trait implementations**: For example, it might be worth adding support for arbitrary chains of "asset transforms" that modify an in-memory asset representation between loading and saving. (ex: load a Mesh, run a `subdivide_mesh` transform, followed by a `flip_normals` transform, then save the mesh to an efficient compressed format). * **Bevy Scene Handle Deserialization**: (see the relevant [Draft TODO item](#draft-todo) for context) * **Explore High Level Load Interfaces**: See [this discussion](#discuss-on_loaded-high-level-interface) for one prototype. * **Asset Streaming**: It would be great if we could stream Assets (ex: stream a long video file piece by piece) * **ID Exchanging**: In this PR Asset Handles/AssetIds are bigger than they need to be because they have a Uuid enum variant. If we implement an "id exchanging" system that trades Uuids for "efficient runtime ids", we can cut down on the size of AssetIds, making them more efficient. This has some open design questions, such as how to spawn entities with "default" handle values (as these wouldn't have access to the exchange api in the current system). * **Asset Path Fixup Tooling**: Assets that inline asset paths inside them will break when an asset moves. The asset system provides the functionality to detect when paths break. We should build a framework that enables formats to define "path migrations". This is especially important for scene files. For editor-generated files, we should also consider using UUIDs (see other bullet point) to avoid the need to migrate in these cases. --------- Co-authored-by: BeastLe9enD <beastle9end@outlook.de> Co-authored-by: Mike <mike.hsu@gmail.com> Co-authored-by: Nicola Papale <nicopap@users.noreply.github.com> |
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James O'Brien
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4f1d9a6315
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Reorder render sets, refactor bevy_sprite to take advantage (#9236)
This is a continuation of this PR: #8062 # Objective - Reorder render schedule sets to allow data preparation when phase item order is known to support improved batching - Part of the batching/instancing etc plan from here: https://github.com/bevyengine/bevy/issues/89#issuecomment-1379249074 - The original idea came from @inodentry and proved to be a good one. Thanks! - Refactor `bevy_sprite` and `bevy_ui` to take advantage of the new ordering ## Solution - Move `Prepare` and `PrepareFlush` after `PhaseSortFlush` - Add a `PrepareAssets` set that runs in parallel with other systems and sets in the render schedule. - Put prepare_assets systems in the `PrepareAssets` set - If explicit dependencies are needed on Mesh or Material RenderAssets then depend on the appropriate system. - Add `ManageViews` and `ManageViewsFlush` sets between `ExtractCommands` and Queue - Move `queue_mesh*_bind_group` to the Prepare stage - Rename them to `prepare_` - Put systems that prepare resources (buffers, textures, etc.) into a `PrepareResources` set inside `Prepare` - Put the `prepare_..._bind_group` systems into a `PrepareBindGroup` set after `PrepareResources` - Move `prepare_lights` to the `ManageViews` set - `prepare_lights` creates views and this must happen before `Queue` - This system needs refactoring to stop handling all responsibilities - Gather lights, sort, and create shadow map views. Store sorted light entities in a resource - Remove `BatchedPhaseItem` - Replace `batch_range` with `batch_size` representing how many items to skip after rendering the item or to skip the item entirely if `batch_size` is 0. - `queue_sprites` has been split into `queue_sprites` for queueing phase items and `prepare_sprites` for batching after the `PhaseSort` - `PhaseItem`s are still inserted in `queue_sprites` - After sorting adjacent compatible sprite phase items are accumulated into `SpriteBatch` components on the first entity of each batch, containing a range of vertex indices. The associated `PhaseItem`'s `batch_size` is updated appropriately. - `SpriteBatch` items are then drawn skipping over the other items in the batch based on the value in `batch_size` - A very similar refactor was performed on `bevy_ui` --- ## Changelog Changed: - Reordered and reworked render app schedule sets. The main change is that data is extracted, queued, sorted, and then prepared when the order of data is known. - Refactor `bevy_sprite` and `bevy_ui` to take advantage of the reordering. ## Migration Guide - Assets such as materials and meshes should now be created in `PrepareAssets` e.g. `prepare_assets<Mesh>` - Queueing entities to `RenderPhase`s continues to be done in `Queue` e.g. `queue_sprites` - Preparing resources (textures, buffers, etc.) should now be done in `PrepareResources`, e.g. `prepare_prepass_textures`, `prepare_mesh_uniforms` - Prepare bind groups should now be done in `PrepareBindGroups` e.g. `prepare_mesh_bind_group` - Any batching or instancing can now be done in `Prepare` where the order of the phase items is known e.g. `prepare_sprites` ## Next Steps - Introduce some generic mechanism to ensure items that can be batched are grouped in the phase item order, currently you could easily have `[sprite at z 0, mesh at z 0, sprite at z 0]` preventing batching. - Investigate improved orderings for building the MeshUniform buffer - Implementing batching across the rest of bevy --------- Co-authored-by: Robert Swain <robert.swain@gmail.com> Co-authored-by: robtfm <50659922+robtfm@users.noreply.github.com> |
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Rob Parrett
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a788e31ad5
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Fix CI for Rust 1.72 (#9562)
# Objective [Rust 1.72.0](https://blog.rust-lang.org/2023/08/24/Rust-1.72.0.html) is now stable. # Notes - `let-else` formatting has arrived! - I chose to allow `explicit_iter_loop` due to https://github.com/rust-lang/rust-clippy/issues/11074. We didn't hit any of the false positives that prevent compilation, but fixing this did produce a lot of the "symbol soup" mentioned, e.g. `for image in &mut *image_events {`. Happy to undo this if there's consensus the other way. --------- Co-authored-by: François <mockersf@gmail.com> |
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ira
|
e2ed42fd75
|
Fix gizmo lines deforming or disappearing when partially behind the camera (#9470)
If a line has one point behind the camera(near plane) then it would deform or, if the `depth_bias` setting was set to a negative value, disappear. ## Solution The issue is that performing a perspective divide does not work correctly for points behind the near plane and a perspective divide is used inside the shader to define the line width in screen space. The solution is to perform near plane clipping manually inside the shader before the perspective divide is done. |
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ira
|
cfa3303cf3
|
Fix crash when drawing line gizmo with less than 2 vertices (#9101)
# Objective Fix #9089 ## Solution Don't try to draw lines with less than 2 vertices. These would not be visible either way. --------- Co-authored-by: François <mockersf@gmail.com> |
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Sélène Amanita
|
8320dc31df
|
Clarify immediate mode in Gizmos documentation (#9183)
# Objective - Repeat in `Gizmos` that they are drawned in immediate mode, which is said at the module level but not here, and detail what it means. - Clarify for every method of `Gizmos` that they should be called for every frame. - Clarify which methods belong to 3D or 2D space (kinda obvious for 2D but still) The first time I used gizmos I didn't understand how they work and was confused as to why nothing showed up. --------- Co-authored-by: François <mockersf@gmail.com> Co-authored-by: SpecificProtagonist <vincentjunge@posteo.net> Co-authored-by: Alice Cecile <alice.i.cecile@gmail.com> |
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IceSentry
|
0d7e81ee81
|
Fix gizmo line width issue when using perspective (#9067)
# Objective - In bevy_polyline, we discovered an issue that happens when line width is smaller than 1.0 and using perspective. It would sometimes end up negative or NaN. I'm not entirely sure _why_ it happens. ## Solution - Make sure the width doesn't go below 0 before multiplying it with the alpha # Notes Here's a link to the bevy_polyline issue https://github.com/ForesightMiningSoftwareCorporation/bevy_polyline/issues/46 I'm not sure if the solution is correct but it solved the issue in my testing. Co-authored-by: François <mockersf@gmail.com> |
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William Pederzoli
|
593bebf930
|
gizmo plugin lag bugfix (#9166)
# Objective Fixes #9156 |
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Nicola Papale
|
cd92405dbd
|
Replace AHash with a good sequence for entity AABB colors (#9175)
# Objective - #8960 isn't optimal for very distinct AABB colors, it can be improved ## Solution We want a function that maps sequential values (entities concurrently living in a scene _usually_ have ids that are sequential) into very different colors (the hue component of the color, to be specific) What we are looking for is a [so-called "low discrepancy" sequence](https://en.wikipedia.org/wiki/Low-discrepancy_sequence). ie: a function `f` such as for integers in a given range (eg: 101, 102, 103…), `f(i)` returns a rational number in the [0..1] range, such as `|f(i) - f(i±1)| ≈ 0.5` (maximum difference of images for neighboring preimages) AHash is a good random hasher, but it has relatively high discrepancy, so we need something else. Known good low discrepancy sequences are: #### The [Van Der Corput sequence](https://en.wikipedia.org/wiki/Van_der_Corput_sequence) <details><summary>Rust implementation</summary> ```rust fn van_der_corput(bits: u64) -> f32 { let leading_zeros = if bits == 0 { 0 } else { bits.leading_zeros() }; let nominator = bits.reverse_bits() >> leading_zeros; let denominator = bits.next_power_of_two(); nominator as f32 / denominator as f32 } ``` </details> #### The [Gold Kronecker sequence](https://extremelearning.com.au/unreasonable-effectiveness-of-quasirandom-sequences/) <details><summary>Rust implementation</summary> Note that the implementation suggested in the linked post assumes floats, we have integers ```rust fn gold_kronecker(bits: u64) -> f32 { const U64_MAX_F: f32 = u64::MAX as f32; // (u64::MAX / Φ) rounded down const FRAC_U64MAX_GOLDEN_RATIO: u64 = 11400714819323198485; bits.wrapping_mul(FRAC_U64MAX_GOLDEN_RATIO) as f32 / U64_MAX_F } ``` </details> ### Comparison of the sequences So they are both pretty good. Both only have a single (!) division and two `u32 as f32` conversions. - Kronecker is resilient to regular sequence (eg: 100, 102, 104, 106) while this kills Van Der Corput (consider that potentially one entity out of two spawned might be a mesh) I made a small app to compare the two sequences, available at: https://gist.github.com/nicopap/5dd9bd6700c6a9a9cf90c9199941883e At the top, we have Van Der Corput, at the bottom we have the Gold Kronecker. In the video, we spawn a vertical line at the position on screen where the x coordinate is the image of the sequence. The preimages are 1,2,3,4,… The ideal algorithm would always have the largest possible gap between each line (imagine the screen x coordinate as the color hue): https://github.com/bevyengine/bevy/assets/26321040/349aa8f8-f669-43ba-9842-f9a46945e25c Here, we repeat the experiment, but with with `entity.to_bits()` instead of a sequence: https://github.com/bevyengine/bevy/assets/26321040/516cea27-7135-4daa-a4e7-edfd1781d119 Notice how Van Der Corput tend to bunch the lines on a single side of the screen. This is because we always skip odd-numbered entities. Gold Kronecker seems always worse than Van Der Corput, but it is resilient to finicky stuff like entity indices being multiples of a number rather than purely sequential, so I prefer it over Van Der Corput, since we can't really predict how distributed the entity indices will be. ### Chosen implementation You'll notice this PR's implementation is not the Golden ratio-based Kronecker sequence as described in [tueoqs](https://extremelearning.com.au/unreasonable-effectiveness-of-quasirandom-sequences/). Why? tueoqs R function multiplies a rational/float and takes the fractional part of the result `(x/Φ) % 1`. We start with an integer `u32`. So instead of converting into float and dividing by Φ (mod 1) we directly divide by Φ as integer (mod 2³²) both operations are equivalent, the integer division (which is actually a multiplication by `u32::MAX / Φ`) is probably faster. ## Acknowledgements - `inspi` on discord linked me to https://extremelearning.com.au/unreasonable-effectiveness-of-quasirandom-sequences/ and the wikipedia article. - [this blog post](https://probablydance.com/2018/06/16/fibonacci-hashing-the-optimization-that-the-world-forgot-or-a-better-alternative-to-integer-modulo/) for the idea of multiplying the `u32` rather than the `f32`. - `nakedible` for suggesting the `index()` over `to_bits()` which considerably reduces generated code (goes from 50 to 11 instructions) |
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ira
|
73457665ba
|
Fix gizmo draw order in 2D (#9129)
# Objective Gizmos are intended to draw over everything but for some reason I set the sort key to `0` during #8427 :v I didn't catch this mistake because it still draws over sprites with a Z translation of `0`. ## Solution Set the sort key to `f32::INFINITY`. |
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Carter Anderson
|
7c3131a761
|
Bump Version after Release (#9106)
CI-capable version of #9086 --------- Co-authored-by: Bevy Auto Releaser <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: François <mockersf@gmail.com> |
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ClayenKitten
|
ffc572728f
|
Fix typos throughout the project (#9090)
# Objective
Fix typos throughout the project.
## Solution
[`typos`](https://github.com/crate-ci/typos) project was used for
scanning, but no automatic corrections were applied. I checked
everything by hand before fixing.
Most of the changes are documentation/comments corrections. Also, there
are few trivial changes to code (variable name, pub(crate) function name
and a few error/panic messages).
## Unsolved
`bevy_reflect_derive` has
[typo](
|
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Carter Anderson
|
8ba9571eed
|
Release 0.11.0 (#9080)
I created this manually as Github didn't want to run CI for the workflow-generated PR. I'm guessing we didn't hit this in previous releases because we used bors. Co-authored-by: Bevy Auto Releaser <41898282+github-actions[bot]@users.noreply.github.com> |
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ira
|
bb281cfa2b
|
Remove unused shader define (#8981)
Unused since #5703 |
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Nicola Papale
|
7aa0a47607
|
Use a consistent seed for AABB gizmo colors (#9030)
# Objective The bounding box colors are from bevy_gizmo are randomized between app runs. This can get confusing for users. ## Solution Use a fixed seed with `RandomState::with_seeds` rather than initializing a `AHash`. The random number was chose so that the first few colors are clearly distinct. According to the `RandomState::hash_one` documentation, it's also faster. ![bevy_bounding_box_colors_2023-07-03](https://github.com/bevyengine/bevy/assets/26321040/676f0389-d00e-4edd-bd77-1fbf73a3d9fa) --- ## Changelog * bevy_gizmo: Keep a consistent color for AABBs of identical entities between runs |
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Gino Valente
|
aeeb20ec4c
|
bevy_reflect: FromReflect Ergonomics Implementation (#6056)
# Objective **This implementation is based on https://github.com/bevyengine/rfcs/pull/59.** --- Resolves #4597 Full details and motivation can be found in the RFC, but here's a brief summary. `FromReflect` is a very powerful and important trait within the reflection API. It allows Dynamic types (e.g., `DynamicList`, etc.) to be formed into Real ones (e.g., `Vec<i32>`, etc.). This mainly comes into play concerning deserialization, where the reflection deserializers both return a `Box<dyn Reflect>` that almost always contain one of these Dynamic representations of a Real type. To convert this to our Real type, we need to use `FromReflect`. It also sneaks up in other ways. For example, it's a required bound for `T` in `Vec<T>` so that `Vec<T>` as a whole can be made `FromReflect`. It's also required by all fields of an enum as it's used as part of the `Reflect::apply` implementation. So in other words, much like `GetTypeRegistration` and `Typed`, it is very much a core reflection trait. The problem is that it is not currently treated like a core trait and is not automatically derived alongside `Reflect`. This makes using it a bit cumbersome and easy to forget. ## Solution Automatically derive `FromReflect` when deriving `Reflect`. Users can then choose to opt-out if needed using the `#[reflect(from_reflect = false)]` attribute. ```rust #[derive(Reflect)] struct Foo; #[derive(Reflect)] #[reflect(from_reflect = false)] struct Bar; fn test<T: FromReflect>(value: T) {} test(Foo); // <-- OK test(Bar); // <-- Panic! Bar does not implement trait `FromReflect` ``` #### `ReflectFromReflect` This PR also automatically adds the `ReflectFromReflect` (introduced in #6245) registration to the derived `GetTypeRegistration` impl— if the type hasn't opted out of `FromReflect` of course. <details> <summary><h4>Improved Deserialization</h4></summary> > **Warning** > This section includes changes that have since been descoped from this PR. They will likely be implemented again in a followup PR. I am mainly leaving these details in for archival purposes, as well as for reference when implementing this logic again. And since we can do all the above, we might as well improve deserialization. We can now choose to deserialize into a Dynamic type or automatically convert it using `FromReflect` under the hood. `[Un]TypedReflectDeserializer::new` will now perform the conversion and return the `Box`'d Real type. `[Un]TypedReflectDeserializer::new_dynamic` will work like what we have now and simply return the `Box`'d Dynamic type. ```rust // Returns the Real type let reflect_deserializer = UntypedReflectDeserializer::new(®istry); let mut deserializer = ron:🇩🇪:Deserializer::from_str(input)?; let output: SomeStruct = reflect_deserializer.deserialize(&mut deserializer)?.take()?; // Returns the Dynamic type let reflect_deserializer = UntypedReflectDeserializer::new_dynamic(®istry); let mut deserializer = ron:🇩🇪:Deserializer::from_str(input)?; let output: DynamicStruct = reflect_deserializer.deserialize(&mut deserializer)?.take()?; ``` </details> --- ## Changelog * `FromReflect` is now automatically derived within the `Reflect` derive macro * This includes auto-registering `ReflectFromReflect` in the derived `GetTypeRegistration` impl * ~~Renamed `TypedReflectDeserializer::new` and `UntypedReflectDeserializer::new` to `TypedReflectDeserializer::new_dynamic` and `UntypedReflectDeserializer::new_dynamic`, respectively~~ **Descoped** * ~~Changed `TypedReflectDeserializer::new` and `UntypedReflectDeserializer::new` to automatically convert the deserialized output using `FromReflect`~~ **Descoped** ## Migration Guide * `FromReflect` is now automatically derived within the `Reflect` derive macro. Items with both derives will need to remove the `FromReflect` one. ```rust // OLD #[derive(Reflect, FromReflect)] struct Foo; // NEW #[derive(Reflect)] struct Foo; ``` If using a manual implementation of `FromReflect` and the `Reflect` derive, users will need to opt-out of the automatic implementation. ```rust // OLD #[derive(Reflect)] struct Foo; impl FromReflect for Foo {/* ... */} // NEW #[derive(Reflect)] #[reflect(from_reflect = false)] struct Foo; impl FromReflect for Foo {/* ... */} ``` <details> <summary><h4>Removed Migrations</h4></summary> > **Warning** > This section includes changes that have since been descoped from this PR. They will likely be implemented again in a followup PR. I am mainly leaving these details in for archival purposes, as well as for reference when implementing this logic again. * The reflect deserializers now perform a `FromReflect` conversion internally. The expected output of `TypedReflectDeserializer::new` and `UntypedReflectDeserializer::new` is no longer a Dynamic (e.g., `DynamicList`), but its Real counterpart (e.g., `Vec<i32>`). ```rust let reflect_deserializer = UntypedReflectDeserializer::new_dynamic(®istry); let mut deserializer = ron:🇩🇪:Deserializer::from_str(input)?; // OLD let output: DynamicStruct = reflect_deserializer.deserialize(&mut deserializer)?.take()?; // NEW let output: SomeStruct = reflect_deserializer.deserialize(&mut deserializer)?.take()?; ``` Alternatively, if this behavior isn't desired, use the `TypedReflectDeserializer::new_dynamic` and `UntypedReflectDeserializer::new_dynamic` methods instead: ```rust // OLD let reflect_deserializer = UntypedReflectDeserializer::new(®istry); // NEW let reflect_deserializer = UntypedReflectDeserializer::new_dynamic(®istry); ``` </details> --------- Co-authored-by: Carter Anderson <mcanders1@gmail.com> |
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ira
|
e29981dcbd
|
Add option to disable gizmo rendering for specific cameras (#8952)
Added `GizmoConfig::render_layers`, which will ensure Gizmos are only rendered on cameras that can see those `RenderLayers`. --------- Co-authored-by: Carter Anderson <mcanders1@gmail.com> |
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robtfm
|
10f5c92068
|
improve shader import model (#5703)
# Objective operate on naga IR directly to improve handling of shader modules. - give codespan reporting into imported modules - allow glsl to be used from wgsl and vice-versa the ultimate objective is to make it possible to - provide user hooks for core shader functions (to modify light behaviour within the standard pbr pipeline, for example) - make automatic binding slot allocation possible but ... since this is already big, adds some value and (i think) is at feature parity with the existing code, i wanted to push this now. ## Solution i made a crate called naga_oil (https://github.com/robtfm/naga_oil - unpublished for now, could be part of bevy) which manages modules by - building each module independantly to naga IR - creating "header" files for each supported language, which are used to build dependent modules/shaders - make final shaders by combining the shader IR with the IR for imported modules then integrated this into bevy, replacing some of the existing shader processing stuff. also reworked examples to reflect this. ## Migration Guide shaders that don't use `#import` directives should work without changes. the most notable user-facing difference is that imported functions/variables/etc need to be qualified at point of use, and there's no "leakage" of visible stuff into your shader scope from the imports of your imports, so if you used things imported by your imports, you now need to import them directly and qualify them. the current strategy of including/'spreading' `mesh_vertex_output` directly into a struct doesn't work any more, so these need to be modified as per the examples (e.g. color_material.wgsl, or many others). mesh data is assumed to be in bindgroup 2 by default, if mesh data is bound into bindgroup 1 instead then the shader def `MESH_BINDGROUP_1` needs to be added to the pipeline shader_defs. |
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Nicola Papale
|
1e73312e49
|
Use AHash to get color from entity in bevy_gizmos (#8960)
# Objective `color_from_entity` uses the poor man's hash to get a fixed random color for an entity. While the poor man's hash is succinct, it has a tendency to clump. As a result, bevy_gizmos has a tendency to re-use very similar colors for different entities. This is bad, we would want non-similar colors that take the whole range of possible hues. This way, each bevy_gizmos aabb gizmo is easy to identify. ## Solution AHash is a nice and fast hash that just so happen to be available to use, so we use it. |
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ira
|
bb59509d44
|
Fix gizmos in WebGPU (#8910)
# Objective Fix #8908. ## Solution Assign the vertex buffers twice with a single item offset instead of setting the array_stride lower than the vertex layout's size for linestrips. |
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Edgar Geier
|
f18f28874a
|
Allow tuples and single plugins in add_plugins , deprecate add_plugin (#8097)
# Objective - Better consistency with `add_systems`. - Deprecating `add_plugin` in favor of a more powerful `add_plugins`. - Allow passing `Plugin` to `add_plugins`. - Allow passing tuples to `add_plugins`. ## Solution - `App::add_plugins` now takes an `impl Plugins` parameter. - `App::add_plugin` is deprecated. - `Plugins` is a new sealed trait that is only implemented for `Plugin`, `PluginGroup` and tuples over `Plugins`. - All examples, benchmarks and tests are changed to use `add_plugins`, using tuples where appropriate. --- ## Changelog ### Changed - `App::add_plugins` now accepts all types that implement `Plugins`, which is implemented for: - Types that implement `Plugin`. - Types that implement `PluginGroup`. - Tuples (up to 16 elements) over types that implement `Plugins`. - Deprecated `App::add_plugin` in favor of `App::add_plugins`. ## Migration Guide - Replace `app.add_plugin(plugin)` calls with `app.add_plugins(plugin)`. --------- Co-authored-by: Carter Anderson <mcanders1@gmail.com> |
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ira
|
001b3eb97c
|
Instanced line rendering for gizmos based on bevy_polyline (#8427)
# Objective Adopt code from [bevy_polyline](https://github.com/ForesightMiningSoftwareCorporation/bevy_polyline) for gizmo line-rendering. This adds configurable width and perspective rendering for the lines. Many thanks to @mtsr for the initial work on bevy_polyline. Thanks to @aevyrie for maintaining it, @nicopap for adding the depth_bias feature and the other [contributors](https://github.com/ForesightMiningSoftwareCorporation/bevy_polyline/graphs/contributors) for squashing bugs and keeping bevy_polyline up-to-date. #### Before ![Before](https://user-images.githubusercontent.com/29694403/232831591-a8e6ed0c-3a09-4413-80fa-74cb8e0d33dd.png) #### After - with line perspective ![After](https://user-images.githubusercontent.com/29694403/232831692-ba7cbeb7-e63a-4f8e-9b1b-1b80c668f149.png) Line perspective is not on by default because with perspective there is no default line width that works for every scene. <details><summary>After - without line perspective</summary> <p> ![After - no perspective](https://user-images.githubusercontent.com/29694403/232836344-0dbfb4c8-09b7-4cf5-95f9-a4c26f38dca3.png) </p> </details> Somewhat unexpectedly, the performance is improved with this PR. At 200,000 lines in many_gizmos I get ~110 FPS on main and ~200 FPS with this PR. I'm guessing this is a CPU side difference as I would expect the rendering technique to be more expensive on the GPU to some extent, but I am not entirely sure. --------- Co-authored-by: Jonas Matser <github@jonasmatser.nl> Co-authored-by: Aevyrie <aevyrie@gmail.com> Co-authored-by: Nicola Papale <nico@nicopap.ch> Co-authored-by: Nicola Papale <nicopap@users.noreply.github.com> |
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François
|
71842c5ac9
|
Webgpu support (#8336)
# Objective - Support WebGPU - alternative to #5027 that doesn't need any async / await - fixes #8315 - Surprise fix #7318 ## Solution ### For async renderer initialisation - Update the plugin lifecycle: - app builds the plugin - calls `plugin.build` - registers the plugin - app starts the event loop - event loop waits for `ready` of all registered plugins in the same order - returns `true` by default - then call all `finish` then all `cleanup` in the same order as registered - then execute the schedule In the case of the renderer, to avoid anything async: - building the renderer plugin creates a detached task that will send back the initialised renderer through a mutex in a resource - `ready` will wait for the renderer to be present in the resource - `finish` will take that renderer and place it in the expected resources by other plugins - other plugins (that expect the renderer to be available) `finish` are called and they are able to set up their pipelines - `cleanup` is called, only custom one is still for pipeline rendering ### For WebGPU support - update the `build-wasm-example` script to support passing `--api webgpu` that will build the example with WebGPU support - feature for webgl2 was always enabled when building for wasm. it's now in the default feature list and enabled on all platforms, so check for this feature must also check that the target_arch is `wasm32` --- ## Migration Guide - `Plugin::setup` has been renamed `Plugin::cleanup` - `Plugin::finish` has been added, and plugins adding pipelines should do it in this function instead of `Plugin::build` ```rust // Before impl Plugin for MyPlugin { fn build(&self, app: &mut App) { app.insert_resource::<MyResource> .add_systems(Update, my_system); let render_app = match app.get_sub_app_mut(RenderApp) { Ok(render_app) => render_app, Err(_) => return, }; render_app .init_resource::<RenderResourceNeedingDevice>() .init_resource::<OtherRenderResource>(); } } // After impl Plugin for MyPlugin { fn build(&self, app: &mut App) { app.insert_resource::<MyResource> .add_systems(Update, my_system); let render_app = match app.get_sub_app_mut(RenderApp) { Ok(render_app) => render_app, Err(_) => return, }; render_app .init_resource::<OtherRenderResource>(); } fn finish(&self, app: &mut App) { let render_app = match app.get_sub_app_mut(RenderApp) { Ok(render_app) => render_app, Err(_) => return, }; render_app .init_resource::<RenderResourceNeedingDevice>(); } } ``` |
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ira
|
b5d24d8fb2
|
Add a bounding box gizmo (#8468)
# Objective Add a bounding box gizmo ![Screenshot from 2023-04-22 23-49-40](https://user-images.githubusercontent.com/29694403/233808825-7593dc38-0623-48a9-b0d7-a4ca24a9e071.png) ## Changes - Added the `AabbGizmo` component that will draw the `Aabb` component on that entity. - Added an option to draw all bounding boxes in a scene on the `GizmoConfig` resource. - Added `TransformPoint` trait to generalize over the point transformation methods on various transform types (e.g `Transform` and `GlobalTransform`). - Changed the `Gizmos::cuboid` method to accept an `impl TransformPoint` instead of separate translation, rotation, and scale. |
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Kjolnyr
|
ddefc246b2
|
Added arc_2d function for gizmos (#8448)
# Objective Added the possibility to draw arcs in 2d via gizmos ## Solution - Added `arc_2d` function to `Gizmos` - Added `arc_inner` function - Added `Arc2dBuilder<'a, 's>` - Updated `2d_gizmos.rs` example to draw an arc --------- Co-authored-by: kjolnyr <kjolnyr@protonmail.ch> Co-authored-by: Alice Cecile <alice.i.cecile@gmail.com> Co-authored-by: ira <JustTheCoolDude@gmail.com> |
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François
|
3220ad6b0b
|
do not crash when rendering only one gizmo (#8434)
# Objective - Fixes #8432 ## Solution - Do not even create mesh when one is not needed |
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ira
|
e54057c50d
|
Avoid spawning gizmo meshes when no gizmos are being drawn (#8180)
# Objective Avoid queuing empty meshes for rendering. Should prevent #8144 from triggering when no gizmos are in use. Not a real fix, unfortunately. ## Solution Add an `in_use` field to `GizmoStorage` and only set it to true when there are gizmos to draw. |
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JoJoJet
|
3ead10a3e0
|
Suppress the clippy::type_complexity lint (#8313)
# Objective The clippy lint `type_complexity` is known not to play well with bevy. It frequently triggers when writing complex queries, and taking the lint's advice of using a type alias almost always just obfuscates the code with no benefit. Because of this, this lint is currently ignored in CI, but unfortunately it still shows up when viewing bevy code in an IDE. As someone who's made a fair amount of pull requests to this repo, I will say that this issue has been a consistent thorn in my side. Since bevy code is filled with spurious, ignorable warnings, it can be very difficult to spot the *real* warnings that must be fixed -- most of the time I just ignore all warnings, only to later find out that one of them was real after I'm done when CI runs. ## Solution Suppress this lint in all bevy crates. This was previously attempted in #7050, but the review process ended up making it more complicated than it needs to be and landed on a subpar solution. The discussion in https://github.com/rust-lang/rust-clippy/pull/10571 explores some better long-term solutions to this problem. Since there is no timeline on when these solutions may land, we should resolve this issue in the meantime by locally suppressing these lints. ### Unresolved issues Currently, these lints are not suppressed in our examples, since that would require suppressing the lint in every single source file. They are still ignored in CI. |
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François
|
36ada9dd4e
|
Fix segfault with 2d gizmos (#8223)
# Objective - Don't segfault with gizmos in 2d - Fixes #8144, Fixes #8211 ## Solution - Don't use depth in 2d |
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ira
|
0893852c40
|
Document bevy_gizmos (#8186)
# Objective Fix #8179 ## Solution - Added `#![warn(missing_docs)]` and document all public items. All methods on `Gizmos` have doc examples. - Expanded the docs on the module/crate. Some unfortunate duplication there :/ - Moved the methods from `GizmoBuffer` to be directly on `Gizmos` and made `GizmoBuffer` private. This means the methods on `Gizmos` will show up on its doc page. --------- Co-authored-by: James Liu <contact@jamessliu.com> |
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JMS55
|
53667dea56
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Temporal Antialiasing (TAA) (#7291)
![image](https://user-images.githubusercontent.com/47158642/214374911-412f0986-3927-4f7a-9a6c-413bdee6b389.png) # Objective - Implement an alternative antialias technique - TAA scales based off of view resolution, not geometry complexity - TAA filters textures, firefly pixels, and other aliasing not covered by MSAA - TAA additionally will reduce noise / increase quality in future stochastic rendering techniques - Closes https://github.com/bevyengine/bevy/issues/3663 ## Solution - Add a temporal jitter component - Add a motion vector prepass - Add a TemporalAntialias component and plugin - Combine existing MSAA and FXAA examples and add TAA ## Followup Work - Prepass motion vector support for skinned meshes - Move uniforms needed for motion vectors into a separate bind group, instead of using different bind group layouts - Reuse previous frame's GPU view buffer for motion vectors, instead of recomputing - Mip biasing for sharper textures, and or unjitter texture UVs https://github.com/bevyengine/bevy/issues/7323 - Compute shader for better performance - Investigate FSR techniques - Historical depth based disocclusion tests, for geometry disocclusion - Historical luminance/hue based tests, for shading disocclusion - Pixel "locks" to reduce blending rate / revamp history confidence mechanism - Orthographic camera support for TemporalJitter - Figure out COD's 1-tap bicubic filter --- ## Changelog - Added MotionVectorPrepass and TemporalJitter - Added TemporalAntialiasPlugin, TemporalAntialiasBundle, and TemporalAntialiasSettings --------- Co-authored-by: IceSentry <c.giguere42@gmail.com> Co-authored-by: IceSentry <IceSentry@users.noreply.github.com> Co-authored-by: Robert Swain <robert.swain@gmail.com> Co-authored-by: Daniel Chia <danstryder@gmail.com> Co-authored-by: robtfm <50659922+robtfm@users.noreply.github.com> Co-authored-by: Brandon Dyer <brandondyer64@gmail.com> Co-authored-by: Edgar Geier <geieredgar@gmail.com> |
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c809779b6e
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Fix crash when enabling HDR on 2d cameras (#8151)
I forgot to specialize the 2d gizmo pipeline on HDR. Oops. |
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6a85eb3d7e
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Immediate Mode Line/Gizmo Drawing (#6529)
# Objective Add a convenient immediate mode drawing API for visual debugging. Fixes #5619 Alternative to #1625 Partial alternative to #5734 Based off https://github.com/Toqozz/bevy_debug_lines with some changes: * Simultaneous support for 2D and 3D. * Methods for basic shapes; circles, spheres, rectangles, boxes, etc. * 2D methods. * Removed durations. Seemed niche, and can be handled by users. <details> <summary>Performance</summary> Stress tested using Bevy's recommended optimization settings for the dev profile with the following command. ```bash cargo run --example many_debug_lines \ --config "profile.dev.package.\"*\".opt-level=3" \ --config "profile.dev.opt-level=1" ``` I dipped to 65-70 FPS at 300,000 lines CPU: 3700x RAM Speed: 3200 Mhz GPU: 2070 super - probably not very relevant, mostly cpu/memory bound </details> <details> <summary>Fancy bloom screenshot</summary> ![Screenshot_20230207_155033](https://user-images.githubusercontent.com/29694403/217291980-f1e0500e-7a14-4131-8c96-eaaaf52596ae.png) </details> ## Changelog * Added `GizmoPlugin` * Added `Gizmos` system parameter for drawing lines and wireshapes. ### TODO - [ ] Update changelog - [x] Update performance numbers - [x] Add credit to PR description ### Future work - Cache rendering primitives instead of constructing them out of line segments each frame. - Support for drawing solid meshes - Interactions. (See [bevy_mod_gizmos](https://github.com/LiamGallagher737/bevy_mod_gizmos)) - Fancier line drawing. (See [bevy_polyline](https://github.com/ForesightMiningSoftwareCorporation/bevy_polyline)) - Support for `RenderLayers` - Display gizmos for a certain duration. Currently everything displays for one frame (ie. immediate mode) - Changing settings per drawn item like drawing on top or drawing to different `RenderLayers` Co-Authored By: @lassade <felipe.jorge.pereira@gmail.com> Co-Authored By: @The5-1 <agaku@hotmail.de> Co-Authored By: @Toqozz <toqoz@hotmail.com> Co-Authored By: @nicopap <nico@nicopap.ch> --------- Co-authored-by: Robert Swain <robert.swain@gmail.com> Co-authored-by: IceSentry <c.giguere42@gmail.com> Co-authored-by: Carter Anderson <mcanders1@gmail.com> |