use std::{ffi::c_void, ptr::NonNull, sync::Arc};
use cudarc::driver::CudaStream;
use super::{
super::{
driver::{Context, Stream},
memory::{DeviceBuffer, ensure_stream},
},
DenseMatmulDataType,
};
use crate::{Error, Result};
unsafe extern "C" {
fn mircuda_dense_vector_create(
data_type: i32,
n: i32,
k: i32,
stream: *mut c_void,
output: *mut *mut c_void,
) -> i32;
fn mircuda_dense_vector_execute(
plan: *mut c_void,
stream: *mut c_void,
input: *const c_void,
weight: *const c_void,
output: *mut c_void,
alpha: f32,
beta: f32,
) -> i32;
fn mircuda_dense_vector_destroy(plan: *mut c_void);
}
#[derive(Clone, Copy, Debug, Eq, PartialEq)]
pub struct DenseVectorSpec {
pub n: usize,
pub k: usize,
pub data_type: DenseMatmulDataType,
}
#[derive(Debug)]
pub struct DenseVectorPlan {
raw: NonNull<c_void>,
stream: Arc<CudaStream>,
spec: DenseVectorSpec,
}
unsafe impl Send for DenseVectorPlan {}
impl Context {
pub fn create_dense_vector_plan(
&self,
stream: &Stream,
spec: DenseVectorSpec,
) -> Result<DenseVectorPlan> {
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_dense_vector_create(
spec.data_type.native(),
i32::try_from(spec.n)?,
i32::try_from(spec.k)?,
stream.inner.cu_stream().cast(),
&raw mut raw,
)
};
check(status)?;
Ok(DenseVectorPlan {
raw: NonNull::new(raw).ok_or(Error::NullAllocation)?,
stream: stream.inner.clone(),
spec,
})
}
}
impl DenseVectorPlan {
#[allow(clippy::too_many_arguments)]
pub fn execute(
&mut self,
stream: &Stream,
input: &DeviceBuffer,
weight: &DeviceBuffer,
output: &DeviceBuffer,
alpha: f32,
beta: f32,
) -> Result<()> {
if !Arc::ptr_eq(&self.stream, &stream.inner) {
return Err(Error::StreamMismatch);
}
for buffer in [input, weight, output] {
ensure_stream(buffer, stream)?;
}
validate_sizes(self.spec, input, weight, output)?;
self.stream.context().bind_to_thread()?;
let status = unsafe {
mircuda_dense_vector_execute(
self.raw.as_ptr(),
stream.inner.cu_stream().cast(),
input.pointer() as *const c_void,
weight.pointer() as *const c_void,
output.pointer() as *mut c_void,
alpha,
beta,
)
};
check(status)
}
}
impl Drop for DenseVectorPlan {
fn drop(&mut self) {
self.stream.context().record_err(self.stream.context().bind_to_thread());
unsafe { mircuda_dense_vector_destroy(self.raw.as_ptr()) };
}
}
fn validate_sizes(
spec: DenseVectorSpec,
input: &DeviceBuffer,
weight: &DeviceBuffer,
output: &DeviceBuffer,
) -> Result<()> {
let bytes = size_of::<u16>();
let valid = spec.k.checked_mul(bytes) == Some(input.bytes())
&& spec.n.checked_mul(spec.k).and_then(|size| size.checked_mul(bytes))
== Some(weight.bytes())
&& spec.n.checked_mul(bytes) == Some(output.bytes());
if valid {
Ok(())
} else {
Err(Error::InvalidMatmulBuffer)
}
}
const fn check(status: i32) -> Result<()> {
if status == 0 {
Ok(())
} else {
Err(Error::Cutlass(status))
}
}