use std::{ffi::c_void, ptr::NonNull, sync::Arc};
use cudarc::driver::CudaStream;
use super::super::{
driver::{Context, Stream},
memory::{DeviceBuffer, ensure_stream},
};
use crate::{Error, Result};
unsafe extern "C" {
fn mircuda_fp8_vector_create(
n: i32,
k: i32,
stream: *mut c_void,
output: *mut *mut c_void,
) -> i32;
fn mircuda_fp8_vector_workspace_bytes(plan: *const c_void) -> usize;
fn mircuda_fp8_vector_execute(
plan: *mut c_void,
stream: *mut c_void,
input: *const c_void,
input_scales: *const c_void,
weight: *const c_void,
weight_scales: *const c_void,
output: *mut c_void,
) -> i32;
fn mircuda_fp8_vector_destroy(plan: *mut c_void);
}
#[derive(Clone, Copy, Debug, Eq, PartialEq)]
pub struct BlockwiseFp8VectorSpec {
pub n: usize,
pub k: usize,
}
#[derive(Debug)]
pub struct BlockwiseFp8VectorPlan {
raw: NonNull<c_void>,
stream: Arc<CudaStream>,
spec: BlockwiseFp8VectorSpec,
}
unsafe impl Send for BlockwiseFp8VectorPlan {}
impl Context {
pub fn create_blockwise_fp8_vector_plan(
&self,
stream: &Stream,
spec: BlockwiseFp8VectorSpec,
) -> Result<BlockwiseFp8VectorPlan> {
if !Arc::ptr_eq(&self.inner, stream.inner.context()) {
return Err(Error::ContextMismatch);
}
self.inner.bind_to_thread()?;
let mut raw = std::ptr::null_mut();
let status = unsafe {
mircuda_fp8_vector_create(
i32::try_from(spec.n)?,
i32::try_from(spec.k)?,
stream.inner.cu_stream().cast(),
&raw mut raw,
)
};
check(status)?;
Ok(BlockwiseFp8VectorPlan {
raw: NonNull::new(raw).ok_or(Error::NullAllocation)?,
stream: stream.inner.clone(),
spec,
})
}
}
impl BlockwiseFp8VectorPlan {
#[must_use]
pub fn workspace_bytes(&self) -> usize {
unsafe { mircuda_fp8_vector_workspace_bytes(self.raw.as_ptr()) }
}
#[allow(clippy::too_many_arguments)]
pub fn execute(
&mut self,
stream: &Stream,
input: &DeviceBuffer,
input_scales: &DeviceBuffer,
weight: &DeviceBuffer,
weight_scales: &DeviceBuffer,
output: &DeviceBuffer,
) -> Result<()> {
if !Arc::ptr_eq(&self.stream, &stream.inner) {
return Err(Error::StreamMismatch);
}
for buffer in [input, input_scales, weight, weight_scales, output] {
ensure_stream(buffer, stream)?;
}
validate(self.spec, input, input_scales, weight, weight_scales, output)?;
self.stream.context().bind_to_thread()?;
check(unsafe {
mircuda_fp8_vector_execute(
self.raw.as_ptr(),
stream.inner.cu_stream().cast(),
input.pointer() as *const c_void,
input_scales.pointer() as *const c_void,
weight.pointer() as *const c_void,
weight_scales.pointer() as *const c_void,
output.pointer() as *mut c_void,
)
})
}
}
impl Drop for BlockwiseFp8VectorPlan {
fn drop(&mut self) {
self.stream.context().record_err(self.stream.context().bind_to_thread());
unsafe { mircuda_fp8_vector_destroy(self.raw.as_ptr()) };
}
}
fn validate(
spec: BlockwiseFp8VectorSpec,
input: &DeviceBuffer,
input_scales: &DeviceBuffer,
weight: &DeviceBuffer,
weight_scales: &DeviceBuffer,
output: &DeviceBuffer,
) -> Result<()> {
let scale_blocks = spec.k / 128;
let weight_scale_count = (spec.n / 128).checked_mul(scale_blocks);
let valid = input.bytes() == spec.k
&& input_scales.bytes() == scale_blocks * size_of::<f32>()
&& weight.bytes() == spec.n.checked_mul(spec.k).unwrap_or(0)
&& weight_scales.bytes() == weight_scale_count.unwrap_or(0) * size_of::<f32>()
&& output.bytes() == spec.n * size_of::<u16>();
if valid {
Ok(())
} else {
Err(Error::InvalidMatmulBuffer)
}
}
const fn check(status: i32) -> Result<()> {
if status == 0 {
Ok(())
} else {
Err(Error::Cutlass(status))
}
}