Add gpu readback example (#12877)

# Objective

- It's pretty common for users to want to read data back from the gpu
and into the main world

## Solution

- Add a simple example that shows how to read data back from the gpu and
send it to the main world using a channel.
- The example is largely based on this wgpu example but adapted to bevy
-
fb305b85f6/examples/src/repeated_compute/mod.rs

---------

Co-authored-by: stormy <120167078+stowmyy@users.noreply.github.com>
Co-authored-by: Torstein Grindvik <52322338+torsteingrindvik@users.noreply.github.com>
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IceSentry 2024-04-08 13:08:20 -04:00 committed by GitHub
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@ -2125,6 +2125,17 @@ description = "A compute shader that simulates Conway's Game of Life"
category = "Shaders"
wasm = false
[[example]]
name = "gpu_readback"
path = "examples/shader/gpu_readback.rs"
doc-scrape-examples = true
[package.metadata.example.gpu_readback]
name = "GPU readback"
description = "A very simple compute shader that writes to a buffer that is read by the cpu"
category = "Shaders"
wasm = false
[[example]]
name = "array_texture"
path = "examples/shader/array_texture.rs"

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@ -0,0 +1,12 @@
// This shader is used for the gpu_readback example
// The actual work it does is not important for the example
// This is the data that lives in the gpu only buffer
@group(0) @binding(0) var<storage, read_write> data: array<u32>;
@compute @workgroup_size(1)
fn main(@builtin(global_invocation_id) global_id: vec3<u32>) {
// We use the global_id to index the array to make sure we don't
// access data used in another workgroup
data[global_id.x] += 1u;
}

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@ -337,6 +337,7 @@ Example | Description
[Compute - Game of Life](../examples/shader/compute_shader_game_of_life.rs) | A compute shader that simulates Conway's Game of Life
[Custom Vertex Attribute](../examples/shader/custom_vertex_attribute.rs) | A shader that reads a mesh's custom vertex attribute
[Extended Material](../examples/shader/extended_material.rs) | A custom shader that builds on the standard material
[GPU readback](../examples/shader/gpu_readback.rs) | A very simple compute shader that writes to a buffer that is read by the cpu
[Instancing](../examples/shader/shader_instancing.rs) | A shader that renders a mesh multiple times in one draw call
[Material](../examples/shader/shader_material.rs) | A shader and a material that uses it
[Material](../examples/shader/shader_material_2d.rs) | A shader and a material that uses it on a 2d mesh

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@ -0,0 +1,297 @@
//! A very simple compute shader that updates a gpu buffer.
//! That buffer is then copied to the cpu and sent to the main world.
//!
//! This example is not meant to teach compute shaders.
//! It is only meant to explain how to read a gpu buffer on the cpu and then use it in the main world.
//!
//! The code is based on this wgpu example:
//! <https://github.com/gfx-rs/wgpu/blob/fb305b85f692f3fbbd9509b648dfbc97072f7465/examples/src/repeated_compute/mod.rs>
use bevy::{
prelude::*,
render::{
render_graph::{self, RenderGraph, RenderLabel},
render_resource::{binding_types::storage_buffer, *},
renderer::{RenderContext, RenderDevice},
Render, RenderApp, RenderSet,
},
};
use crossbeam_channel::{Receiver, Sender};
// The length of the buffer sent to the gpu
const BUFFER_LEN: usize = 16;
// To communicate between the main world and the render world we need a channel.
// Since the main world and render world run in parallel, there will always be a frame of latency
// between the data sent from the render world and the data received in the main world
//
// frame n => render world sends data through the channel at the end of the frame
// frame n + 1 => main world receives the data
/// This will receive asynchronously any data sent from the render world
#[derive(Resource, Deref)]
struct MainWorldReceiver(Receiver<Vec<u32>>);
/// This will send asynchronously any data to the main world
#[derive(Resource, Deref)]
struct RenderWorldSender(Sender<Vec<u32>>);
fn main() {
App::new()
.insert_resource(ClearColor(Color::BLACK))
.add_plugins((DefaultPlugins, GpuReadbackPlugin))
.add_systems(Update, receive)
.run();
}
/// This system will poll the channel and try to get the data sent from the render world
fn receive(receiver: Res<MainWorldReceiver>) {
// We don't want to block the main world on this,
// so we use try_recv which attempts to receive without blocking
if let Ok(data) = receiver.try_recv() {
println!("Received data from render world: {data:?}");
}
}
// We need a plugin to organize all the systems and render node required for this example
struct GpuReadbackPlugin;
impl Plugin for GpuReadbackPlugin {
fn build(&self, _app: &mut App) {}
// The render device is only accessible inside finish().
// So we need to initialize render resources here.
fn finish(&self, app: &mut App) {
let (s, r) = crossbeam_channel::unbounded();
app.insert_resource(MainWorldReceiver(r));
let render_app = app.sub_app_mut(RenderApp);
render_app
.insert_resource(RenderWorldSender(s))
.init_resource::<ComputePipeline>()
.init_resource::<Buffers>()
.add_systems(
Render,
(
prepare_bind_group
.in_set(RenderSet::PrepareBindGroups)
// We don't need to recreate the bind group every frame
.run_if(not(resource_exists::<GpuBufferBindGroup>)),
// We need to run it after the render graph is done
// because this needs to happen after submit()
map_and_read_buffer.after(RenderSet::Render),
),
);
// Add the compute node as a top level node to the render graph
// This means it will only execute once per frame
render_app
.world_mut()
.resource_mut::<RenderGraph>()
.add_node(ComputeNodeLabel, ComputeNode::default());
}
}
#[derive(Resource)]
struct Buffers {
// The buffer that will be used by the compute shader
gpu_buffer: Buffer,
// The buffer that will be read on the cpu.
// The `gpu_buffer` will be copied to this buffer every frame
cpu_buffer: Buffer,
}
impl FromWorld for Buffers {
fn from_world(world: &mut World) -> Self {
let render_device = world.resource::<RenderDevice>();
let mut init_data = encase::StorageBuffer::new(Vec::new());
// Init the buffer with 0
let data = vec![0; BUFFER_LEN];
init_data.write(&data).expect("Failed to write buffer");
// The buffer that will be accessed by the gpu
let gpu_buffer = render_device.create_buffer_with_data(&BufferInitDescriptor {
label: Some("gpu_buffer"),
contents: init_data.as_ref(),
usage: BufferUsages::STORAGE | BufferUsages::COPY_SRC,
});
// For portability reasons, WebGPU draws a distinction between memory that is
// accessible by the CPU and memory that is accessible by the GPU. Only
// buffers accessible by the CPU can be mapped and accessed by the CPU and
// only buffers visible to the GPU can be used in shaders. In order to get
// data from the GPU, we need to use `CommandEncoder::copy_buffer_to_buffer` to
// copy the buffer modified by the GPU into a mappable, CPU-accessible buffer
let cpu_buffer = render_device.create_buffer(&BufferDescriptor {
label: Some("readback_buffer"),
size: (BUFFER_LEN * std::mem::size_of::<u32>()) as u64,
usage: BufferUsages::MAP_READ | BufferUsages::COPY_DST,
mapped_at_creation: false,
});
Self {
gpu_buffer,
cpu_buffer,
}
}
}
#[derive(Resource)]
struct GpuBufferBindGroup(BindGroup);
fn prepare_bind_group(
mut commands: Commands,
pipeline: Res<ComputePipeline>,
render_device: Res<RenderDevice>,
buffers: Res<Buffers>,
) {
let bind_group = render_device.create_bind_group(
None,
&pipeline.layout,
&BindGroupEntries::single(buffers.gpu_buffer.as_entire_binding()),
);
commands.insert_resource(GpuBufferBindGroup(bind_group));
}
#[derive(Resource)]
struct ComputePipeline {
layout: BindGroupLayout,
pipeline: CachedComputePipelineId,
}
impl FromWorld for ComputePipeline {
fn from_world(world: &mut World) -> Self {
let render_device = world.resource::<RenderDevice>();
let layout = render_device.create_bind_group_layout(
None,
&BindGroupLayoutEntries::single(
ShaderStages::COMPUTE,
storage_buffer::<Vec<u32>>(false),
),
);
let shader = world.load_asset("shaders/gpu_readback.wgsl");
let pipeline_cache = world.resource::<PipelineCache>();
let pipeline = pipeline_cache.queue_compute_pipeline(ComputePipelineDescriptor {
label: Some("GPU readback compute shader".into()),
layout: vec![layout.clone()],
push_constant_ranges: Vec::new(),
shader: shader.clone(),
shader_defs: Vec::new(),
entry_point: "main".into(),
});
ComputePipeline { layout, pipeline }
}
}
fn map_and_read_buffer(
render_device: Res<RenderDevice>,
buffers: Res<Buffers>,
sender: Res<RenderWorldSender>,
) {
// Finally time to get our data back from the gpu.
// First we get a buffer slice which represents a chunk of the buffer (which we
// can't access yet).
// We want the whole thing so use unbounded range.
let buffer_slice = buffers.cpu_buffer.slice(..);
// Now things get complicated. WebGPU, for safety reasons, only allows either the GPU
// or CPU to access a buffer's contents at a time. We need to "map" the buffer which means
// flipping ownership of the buffer over to the CPU and making access legal. We do this
// with `BufferSlice::map_async`.
//
// The problem is that map_async is not an async function so we can't await it. What
// we need to do instead is pass in a closure that will be executed when the slice is
// either mapped or the mapping has failed.
//
// The problem with this is that we don't have a reliable way to wait in the main
// code for the buffer to be mapped and even worse, calling get_mapped_range or
// get_mapped_range_mut prematurely will cause a panic, not return an error.
//
// Using channels solves this as awaiting the receiving of a message from
// the passed closure will force the outside code to wait. It also doesn't hurt
// if the closure finishes before the outside code catches up as the message is
// buffered and receiving will just pick that up.
//
// It may also be worth noting that although on native, the usage of asynchronous
// channels is wholly unnecessary, for the sake of portability to WASM
// we'll use async channels that work on both native and WASM.
let (s, r) = crossbeam_channel::unbounded::<()>();
// Maps the buffer so it can be read on the cpu
buffer_slice.map_async(MapMode::Read, move |r| match r {
// This will execute once the gpu is ready, so after the call to poll()
Ok(_) => s.send(()).expect("Failed to send map update"),
Err(err) => panic!("Failed to map buffer {err}"),
});
// In order for the mapping to be completed, one of three things must happen.
// One of those can be calling `Device::poll`. This isn't necessary on the web as devices
// are polled automatically but natively, we need to make sure this happens manually.
// `Maintain::Wait` will cause the thread to wait on native but not on WebGpu.
// This blocks until the gpu is done executing everything
render_device.poll(Maintain::wait()).panic_on_timeout();
// This blocks until the buffer is mapped
r.recv().expect("Failed to receive the map_async message");
{
let buffer_view = buffer_slice.get_mapped_range();
let data = buffer_view
.chunks(std::mem::size_of::<u32>())
.map(|chunk| u32::from_ne_bytes(chunk.try_into().expect("should be a u32")))
.collect::<Vec<u32>>();
sender
.send(data)
.expect("Failed to send data to main world");
}
// We need to make sure all `BufferView`'s are dropped before we do what we're about
// to do.
// Unmap so that we can copy to the staging buffer in the next iteration.
buffers.cpu_buffer.unmap();
}
/// Label to identify the node in the render graph
#[derive(Debug, Hash, PartialEq, Eq, Clone, RenderLabel)]
struct ComputeNodeLabel;
/// The node that will execute the compute shader
#[derive(Default)]
struct ComputeNode {}
impl render_graph::Node for ComputeNode {
fn run(
&self,
_graph: &mut render_graph::RenderGraphContext,
render_context: &mut RenderContext,
world: &World,
) -> Result<(), render_graph::NodeRunError> {
let pipeline_cache = world.resource::<PipelineCache>();
let pipeline = world.resource::<ComputePipeline>();
let bind_group = world.resource::<GpuBufferBindGroup>();
if let Some(init_pipeline) = pipeline_cache.get_compute_pipeline(pipeline.pipeline) {
let mut pass =
render_context
.command_encoder()
.begin_compute_pass(&ComputePassDescriptor {
label: Some("GPU readback compute pass"),
..default()
});
pass.set_bind_group(0, &bind_group.0, &[]);
pass.set_pipeline(init_pipeline);
pass.dispatch_workgroups(BUFFER_LEN as u32, 1, 1);
}
// Copy the gpu accessible buffer to the cpu accessible buffer
let buffers = world.resource::<Buffers>();
render_context.command_encoder().copy_buffer_to_buffer(
&buffers.gpu_buffer,
0,
&buffers.cpu_buffer,
0,
(BUFFER_LEN * std::mem::size_of::<u32>()) as u64,
);
Ok(())
}
}