cubecl_core/frontend/cmma.rs
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//! This module exposes cooperative matrix-multiply and accumulate operations.
//!
//! Most of the functions are actually unsafe, since they mutate their input, even if they are
//! passed as reference.
//!
//! # Example
//!
//! This is a basic 16x16x16 matrix multiplication example.
//!
//! ```rust, ignore
//! #[cube(launch)]
//! pub fn example(lhs: &Array<F16>, rhs: &Array<F16>, out: &mut Array<F32>) {
//! let a = cmma::Matrix::<F16>::new(
//! cmma::MatrixIdent::A,
//! 16,
//! 16,
//! 16,
//! cmma::MatrixLayout::RowMajor,
//! );
//! let b = cmma::Matrix::<F16>::new(
//! cmma::MatrixIdent::B,
//! 16,
//! 16,
//! 16,
//! cmma::MatrixLayout::ColMajor,
//! );
//! let c = cmma::Matrix::<F32>::new(
//! cmma::MatrixIdent::Accumulator,
//! 16,
//! 16,
//! 16,
//! cmma::MatrixLayout::Undefined,
//! );
//! cmma::fill::<F32>(&c, F32::new(0.0));
//! cmma::load::<F16>(&a, lhs.as_slice(), u32::new(16));
//! cmma::load::<F16>(&b, rhs.as_slice(), u32::new(16));
//!
//! cmma::execute::<F16, F16, F32, F32>(&a, &b, &c, &c);
//!
//! cmma::store::<F32>(
//! out.as_slice_mut(),
//! &c,
//! u32::new(16),
//! cmma::MatrixLayout::RowMajor,
//! );
//! }
//! ```
use std::marker::PhantomData;
use crate::{
ir::{self, Operation},
unexpanded,
};
use super::{
CubeContext, CubePrimitive, CubeType, ExpandElement, ExpandElementTyped, Init, IntoRuntime,
Slice, SliceMut,
};
pub use ir::{MatrixIdent, MatrixLayout};
/// A matrix represent a 2D grid of numbers.
///
/// They can either be in a [row major](MatrixLayout::RowMajor) or a
/// [column major](MatrixLayout::ColMajor) format.
#[derive(Copy, Clone)]
pub struct Matrix<C: CubeType> {
_c: PhantomData<C>,
}
/// Expand type of [Matrix].
#[derive(Clone)]
pub struct MatrixExpand {
elem: ExpandElement,
ident: MatrixIdent,
}
impl<C: CubeType> CubeType for Matrix<C> {
type ExpandType = MatrixExpand;
}
impl<C: CubeType> IntoRuntime for Matrix<C> {
fn __expand_runtime_method(self, _context: &mut CubeContext) -> MatrixExpand {
unimplemented!("Matrices can't exist at compile time")
}
}
impl Init for MatrixExpand {
fn init(self, _context: &mut CubeContext) -> Self {
self
}
}
impl<C: CubePrimitive> Matrix<C> {
/// Create a new uninitialized matrix that is going to be used in the
/// [matrix-multiply and accumulate](execute()) function.
///
/// # Safety
/// Must be initialized with `load` or `fill` before use. Using it without initialization is
/// undefined behaviour on CUDA, and completely invalid on Vulkan.
///
/// You have to declare the shape used for the execution.
/// The shape of the current matrix is determined using the [MatrixIdent].
///
/// * [MatrixIdent::A] Shape => (M, K)
/// * [MatrixIdent::B] Shape => (K, N)
/// * [MatrixIdent::Accumulator] Shape => (M, N)
///
/// Not all shapes are supported, and the permitted shapes depend on the element type.
///
/// Refer to [nvidia documentation](https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#element-types-and-matrix-sizes).
#[allow(unused_variables)]
pub unsafe fn uninitialized(
ident: MatrixIdent,
m: u32,
n: u32,
k: u32,
layout: MatrixLayout,
) -> Self {
Matrix { _c: PhantomData }
}
/// Create a new matrix that is going to be used in the
/// [matrix-multiply and accumulate](execute()) function and is filled with `value`.
///
/// You have to declare the shape used for the execution.
/// The shape of the current matrix is determined using the [MatrixIdent].
///
/// * [MatrixIdent::A] Shape => (M, K)
/// * [MatrixIdent::B] Shape => (K, N)
/// * [MatrixIdent::Accumulator] Shape => (M, N)
///
/// Not all shapes are supported, and the permitted shapes depend on the element type.
///
/// Refer to [nvidia documentation](https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#element-types-and-matrix-sizes).
#[allow(unused_variables)]
pub fn from_value(
ident: MatrixIdent,
m: u32,
n: u32,
k: u32,
layout: MatrixLayout,
value: C,
) -> Self {
Matrix { _c: PhantomData }
}
/// Create a new matrix that is going to be used in the
/// [matrix-multiply and accumulate](execute()) function and is loaded from `value` with `stride`.
///
/// You have to declare the shape used for the execution.
/// The shape of the current matrix is determined using the [MatrixIdent].
///
/// * [MatrixIdent::A] Shape => (M, K)
/// * [MatrixIdent::B] Shape => (K, N)
/// * [MatrixIdent::Accumulator] Shape => (M, N)
///
/// Not all shapes are supported, and the permitted shapes depend on the element type.
///
/// Refer to [nvidia documentation](https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#element-types-and-matrix-sizes).
#[allow(unused_variables)]
pub fn from_slice(
ident: MatrixIdent,
m: u32,
n: u32,
k: u32,
layout: MatrixLayout,
value: &Slice<'_, C>,
stride: u32,
) -> Self {
Matrix { _c: PhantomData }
}
pub fn __expand_uninitialized(
context: &mut CubeContext,
ident: MatrixIdent,
m: ExpandElementTyped<u32>,
n: ExpandElementTyped<u32>,
k: ExpandElementTyped<u32>,
layout: MatrixLayout,
) -> MatrixExpand {
let elem = context.create_matrix(ir::Matrix {
ident,
m: m.constant().unwrap().as_u32() as u8,
n: n.constant().unwrap().as_u32() as u8,
k: k.constant().unwrap().as_u32() as u8,
elem: C::as_elem(),
layout,
});
MatrixExpand { elem, ident }
}
pub fn __expand_from_value(
context: &mut CubeContext,
ident: MatrixIdent,
m: ExpandElementTyped<u32>,
n: ExpandElementTyped<u32>,
k: ExpandElementTyped<u32>,
layout: MatrixLayout,
value: ExpandElementTyped<C>,
) -> MatrixExpand {
let mat = Self::__expand_uninitialized(context, ident, m, n, k, layout);
fill::expand(context, mat.clone(), value);
mat
}
#[allow(clippy::too_many_arguments)]
pub fn __expand_from_slice(
context: &mut CubeContext,
ident: MatrixIdent,
m: ExpandElementTyped<u32>,
n: ExpandElementTyped<u32>,
k: ExpandElementTyped<u32>,
layout: MatrixLayout,
value: ExpandElementTyped<Slice<'static, C>>,
stride: ExpandElementTyped<u32>,
) -> MatrixExpand {
let mat = Self::__expand_uninitialized(context, ident, m, n, k, layout);
load::expand(context, mat.clone(), value, stride);
mat
}
}
/// Fill the matrix with the provided value.
#[allow(unused_variables)]
pub fn fill<C: CubeType>(mat: &Matrix<C>, value: C) {
unexpanded!()
}
/// Module containing the expand function for [fill()].
pub mod fill {
use super::*;
/// Expand method of [fill()].
pub fn expand<C: CubeType>(
context: &mut CubeContext,
mat: MatrixExpand,
value: ExpandElementTyped<C>,
) {
let value: ExpandElement = value.into();
context.register(Operation::CoopMma(ir::CoopMma::Fill {
mat: *mat.elem,
value: *value,
}));
}
}
/// Load the matrix with the provided array using the stride.
#[allow(unused_variables)]
pub fn load<C: CubeType>(mat: &Matrix<C>, value: &Slice<'_, C>, stride: u32) {
unexpanded!()
}
/// Module containing the expand function for [load()].
pub mod load {
use super::*;
/// Expand method of [load()].
#[allow(unused_variables)]
pub fn expand<C: CubeType>(
context: &mut CubeContext,
mat: MatrixExpand,
value: ExpandElementTyped<Slice<'static, C>>,
stride: ExpandElementTyped<u32>,
) {
let stride: ExpandElement = stride.into();
assert_ne!(
mat.ident,
MatrixIdent::Accumulator,
"Loading accumulator requires explicit layout. Use `load_with_layout` instead."
);
context.register(Operation::CoopMma(ir::CoopMma::Load {
mat: *mat.elem,
value: *value.expand,
stride: *stride,
layout: None,
}));
}
}
/// Load the matrix with the provided array using the stride with an explicit layout.
/// Explicit layouts are required when loading accumulators.
#[allow(unused_variables)]
pub fn load_with_layout<C: CubeType>(
mat: &Matrix<C>,
value: &Slice<'_, C>,
stride: u32,
layout: MatrixLayout,
) {
unexpanded!()
}
/// Module containing the expand function for [load_with_layout()].
pub mod load_with_layout {
use super::*;
/// Expand method of [load_with_layout()].
#[allow(unused_variables)]
pub fn expand<C: CubeType>(
context: &mut CubeContext,
mat: MatrixExpand,
value: ExpandElementTyped<Slice<'static, C>>,
stride: ExpandElementTyped<u32>,
layout: MatrixLayout,
) {
let stride: ExpandElement = stride.into();
context.register(Operation::CoopMma(ir::CoopMma::Load {
mat: *mat.elem,
value: *value.expand,
stride: *stride,
layout: Some(layout),
}));
}
}
/// Store the matrix in the given array following the given stride and layout.
#[allow(unused_variables)]
pub fn store<C: CubePrimitive>(
output: &mut SliceMut<'_, C>,
mat: &Matrix<C>,
stride: u32,
layout: MatrixLayout,
) {
unexpanded!()
}
/// Module containing the expand function for [store()].
pub mod store {
use super::*;
/// Expand method of [store()].
#[allow(unused_variables)]
pub fn expand<C: CubePrimitive>(
context: &mut CubeContext,
output: ExpandElementTyped<SliceMut<'static, C>>,
mat: MatrixExpand,
stride: ExpandElementTyped<u32>,
layout: MatrixLayout,
) {
let stride: ExpandElement = stride.into();
context.register(Operation::CoopMma(ir::CoopMma::Store {
output: *output.expand,
mat: *mat.elem,
stride: *stride,
layout,
}));
}
}
/// Execute the matrix-multiply and accumulate operation on the given [matrices](Matrix).
#[allow(unused_variables)]
pub fn execute<A: CubePrimitive, B: CubePrimitive, C: CubePrimitive, D: CubePrimitive>(
mat_a: &Matrix<A>,
mat_b: &Matrix<B>,
mat_c: &Matrix<C>,
mat_d: &Matrix<D>,
) {
unexpanded!()
}
/// Module containing the expand function for [execute()].
pub mod execute {
use super::*;
/// Expand method of [execute()].
pub fn expand<A: CubePrimitive, B: CubePrimitive, C: CubePrimitive, D: CubePrimitive>(
context: &mut CubeContext,
mat_a: MatrixExpand,
mat_b: MatrixExpand,
mat_c: MatrixExpand,
mat_d: MatrixExpand,
) {
context.register(Operation::CoopMma(ir::CoopMma::Execute {
mat_a: *mat_a.elem,
mat_b: *mat_b.elem,
mat_c: *mat_c.elem,
mat_d: *mat_d.elem,
}));
}
}