use crate::gpu::ScalarType;
use bytemuck::cast_slice;
use futures::channel::oneshot;
use std::sync::Arc;
pub(crate) async fn map_read_async(
device: &wgpu::Device,
slice: &wgpu::BufferSlice<'_>,
) -> Result<(), String> {
let (tx, rx) = oneshot::channel();
slice.map_async(wgpu::MapMode::Read, move |result| {
let _ = tx.send(result);
});
#[cfg(not(target_arch = "wasm32"))]
device.poll(wgpu::Maintain::Wait);
#[cfg(target_arch = "wasm32")]
device.poll(wgpu::Maintain::Poll);
rx.await
.map_err(|_| "map failed".to_string())?
.map_err(|_| "map error".to_string())?;
Ok(())
}
pub async fn readback_u32(
device: &Arc<wgpu::Device>,
buffer: &wgpu::Buffer,
) -> Result<u32, String> {
let slice = buffer.slice(..);
map_read_async(device, &slice).await?;
let data = slice.get_mapped_range();
if data.len() < std::mem::size_of::<u32>() {
drop(data);
buffer.unmap();
return Err("readback buffer too small".to_string());
}
let mut bytes = [0u8; 4];
bytes.copy_from_slice(&data[..4]);
drop(data);
buffer.unmap();
Ok(u32::from_le_bytes(bytes))
}
pub async fn readback_f32(
device: &Arc<wgpu::Device>,
buffer: &wgpu::Buffer,
) -> Result<f32, String> {
let bits = readback_u32(device, buffer).await?;
Ok(f32::from_bits(bits))
}
pub async fn readback_f32_buffer(
device: &Arc<wgpu::Device>,
buffer: &wgpu::Buffer,
element_count: usize,
) -> Result<Vec<f32>, String> {
if element_count == 0 {
return Ok(Vec::new());
}
let byte_len = element_count * std::mem::size_of::<f32>();
let slice = buffer.slice(0..byte_len as u64);
map_read_async(device, &slice).await?;
let data = slice.get_mapped_range();
if data.len() < byte_len {
drop(data);
buffer.unmap();
return Err("GPU readback buffer too small".to_string());
}
let floats: &[f32] = cast_slice(&data[..byte_len]);
let out = floats.to_vec();
drop(data);
buffer.unmap();
Ok(out)
}
pub async fn copy_readback_bytes(
device: &Arc<wgpu::Device>,
queue: &Arc<wgpu::Queue>,
buffer: &wgpu::Buffer,
byte_len: usize,
) -> Result<Vec<u8>, String> {
if byte_len == 0 {
return Ok(Vec::new());
}
let staging = device.create_buffer(&wgpu::BufferDescriptor {
label: Some("runmat-plot-readback-staging"),
size: byte_len as u64,
usage: wgpu::BufferUsages::MAP_READ | wgpu::BufferUsages::COPY_DST,
mapped_at_creation: false,
});
let mut encoder = device.create_command_encoder(&wgpu::CommandEncoderDescriptor {
label: Some("runmat-plot-readback-encoder"),
});
encoder.copy_buffer_to_buffer(buffer, 0, &staging, 0, byte_len as u64);
queue.submit(Some(encoder.finish()));
let slice = staging.slice(0..byte_len as u64);
map_read_async(device, &slice).await?;
let data = slice.get_mapped_range();
if data.len() < byte_len {
drop(data);
staging.unmap();
return Err("GPU readback staging buffer too small".to_string());
}
let out = data[..byte_len].to_vec();
drop(data);
staging.unmap();
Ok(out)
}
pub async fn readback_scalar_buffer_f64(
device: &Arc<wgpu::Device>,
queue: &Arc<wgpu::Queue>,
buffer: &wgpu::Buffer,
element_count: usize,
scalar: ScalarType,
) -> Result<Vec<f64>, String> {
if element_count == 0 {
return Ok(Vec::new());
}
match scalar {
ScalarType::F32 => {
let byte_len = element_count * std::mem::size_of::<f32>();
let bytes = copy_readback_bytes(device, queue, buffer, byte_len).await?;
let values: &[f32] = cast_slice(&bytes);
Ok(values.iter().map(|value| f64::from(*value)).collect())
}
ScalarType::F64 => {
let byte_len = element_count * std::mem::size_of::<f64>();
let bytes = copy_readback_bytes(device, queue, buffer, byte_len).await?;
let values: &[f64] = cast_slice(&bytes);
Ok(values.to_vec())
}
}
}