use mircuda::{DeviceBuffer, Stream, bf16};
use super::{CudaBackend, GatedActivation, NvFp4ExpertBank, view};
use crate::{
Error, Result,
kernels::{
NvFp4MicroBanks, NvFp4MicroKernels, NvFp4MicroLaunch, NvFp4MicroSpec, NvFp4MicroWorkspace,
},
};
#[derive(Debug)]
pub struct DirectNvFp4MoeBf16 {
kernels: NvFp4MicroKernels,
gate: NvFp4ExpertBank,
up: NvFp4ExpertBank,
down: NvFp4ExpertBank,
gate_packed: DeviceBuffer<u8>,
up_packed: DeviceBuffer<u8>,
gate_scales: DeviceBuffer<u8>,
up_scales: DeviceBuffer<u8>,
intermediate_packed: DeviceBuffer<u8>,
intermediate_scales: DeviceBuffer<u8>,
stream: Stream,
tokens: usize,
selected: usize,
hidden: usize,
}
impl CudaBackend {
pub fn prepare_direct_nvfp4_moe_bf16(
&self,
tokens: usize,
selected: usize,
activation: GatedActivation,
gate: NvFp4ExpertBank,
up: NvFp4ExpertBank,
down: NvFp4ExpertBank,
) -> Result<DirectNvFp4MoeBf16> {
DirectNvFp4MoeBf16::new(self, tokens, selected, activation, gate, up, down)
}
}
impl DirectNvFp4MoeBf16 {
fn new(
backend: &CudaBackend,
tokens: usize,
selected: usize,
activation: GatedActivation,
gate: NvFp4ExpertBank,
up: NvFp4ExpertBank,
down: NvFp4ExpertBank,
) -> Result<Self> {
validate(&gate, &up, &down)?;
let experts = gate.config.experts;
let hidden = gate.config.input_features;
let intermediate = gate.config.output_features;
let spec = NvFp4MicroSpec {
experts,
selected,
hidden,
intermediate,
tokens,
activation: activation.into(),
};
let groups = tokens
.checked_mul(selected)
.ok_or(Error::InvalidNvFp4("direct micro expert count overflow"))?;
let allocate = |elements| backend.inner.pool.allocate(&backend.inner.stream, elements);
Ok(Self {
kernels: NvFp4MicroKernels::compile(&backend.inner.compiler, spec)?,
gate_packed: allocate(elements(groups, hidden / 2)?)?,
up_packed: allocate(elements(groups, hidden / 2)?)?,
gate_scales: allocate(elements(groups, hidden / 16)?)?,
up_scales: allocate(elements(groups, hidden / 16)?)?,
intermediate_packed: allocate(elements(groups, intermediate / 2)?)?,
intermediate_scales: allocate(elements(groups, intermediate / 16)?)?,
stream: backend.inner.stream.clone(),
gate,
up,
down,
tokens,
selected,
hidden,
})
}
pub fn execute(
&mut self,
input: &DeviceBuffer<bf16>,
selected: &DeviceBuffer<u32>,
routing: &DeviceBuffer<bf16>,
output: &mut DeviceBuffer<bf16>,
) -> Result<()> {
self.kernels.execute(
&self.stream,
NvFp4MicroLaunch {
input,
selected,
routing,
banks: NvFp4MicroBanks {
gate: view(&self.gate),
up: view(&self.up),
down: view(&self.down),
},
workspace: NvFp4MicroWorkspace {
gate_packed: &mut self.gate_packed,
up_packed: &mut self.up_packed,
gate_scales: &mut self.gate_scales,
up_scales: &mut self.up_scales,
intermediate_packed: &mut self.intermediate_packed,
intermediate_scales: &mut self.intermediate_scales,
},
output,
},
)
}
#[must_use]
pub fn output_elements(&self) -> usize {
self.tokens.saturating_mul(self.hidden)
}
#[must_use]
pub const fn selected_count(&self) -> usize {
self.selected
}
}
fn validate(gate: &NvFp4ExpertBank, up: &NvFp4ExpertBank, down: &NvFp4ExpertBank) -> Result<()> {
let same_gate_up = gate.config == up.config;
let transposed_down =
(gate.config.input_features, gate.config.output_features, gate.config.experts)
== (down.config.output_features, down.config.input_features, down.config.experts);
let valid = same_gate_up && transposed_down;
if valid {
Ok(())
} else {
Err(Error::InvalidNvFp4("incompatible direct micro expert banks"))
}
}
fn elements(rows: usize, columns: usize) -> Result<usize> {
rows.checked_mul(columns)
.ok_or(Error::InvalidNvFp4("direct micro workspace overflow"))
}