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//! Cooperative inner kernel body shared by the plain and bias-fused
//! tiled matmul variants.
use vyre::ir::{Expr, Node};
use super::shape::{in_output_bounds, MatrixShape, TileShape};
use super::tile_coords::{bind_output_tile_coordinates, OutputTileCoordNames};
pub(crate) fn cooperative_matmul_body(
a: &str,
b: &str,
bias: Option<&str>,
out: &str,
shape: MatrixShape,
tile: TileShape,
) -> Vec<Node> {
let tile_count = shape.k.div_ceil(tile.k_tile);
let load_passes = tile.a_values.max(tile.b_values).div_ceil(tile.lanes).max(1);
let local = Expr::var("local");
let row = Expr::var("row");
let col = Expr::var("col");
let in_bounds = in_output_bounds(row.clone(), col.clone(), shape);
let out_index = Expr::add(Expr::mul(row.clone(), Expr::u32(shape.n)), col.clone());
let mut body = bind_output_tile_coordinates(
shape,
tile,
OutputTileCoordNames {
lane_row: "local_row",
lane_col: "local_col",
row: "row",
col: "col",
},
);
body.push(Node::let_bind("acc", Expr::u32(0)));
if let Some(bias) = bias {
body.push(Node::if_then(
in_bounds.clone(),
vec![Node::assign("acc", Expr::load(bias, col.clone()))],
));
}
body.push(Node::loop_for(
"tile_idx",
Expr::u32(0),
Expr::u32(tile_count),
vec![
Node::let_bind(
"k_base",
Expr::mul(Expr::var("tile_idx"), Expr::u32(tile.k_tile)),
),
Node::loop_for(
"load_pass",
Expr::u32(0),
Expr::u32(load_passes),
vec![
Node::let_bind(
"a_linear",
Expr::add(
local.clone(),
Expr::mul(Expr::var("load_pass"), Expr::u32(tile.lanes)),
),
),
Node::if_then(
Expr::lt(Expr::var("a_linear"), Expr::u32(tile.a_values)),
vec![
Node::let_bind(
"a_local_row",
Expr::div(Expr::var("a_linear"), Expr::u32(tile.k_tile)),
),
Node::let_bind(
"a_local_k",
Expr::rem(Expr::var("a_linear"), Expr::u32(tile.k_tile)),
),
Node::let_bind(
"a_row",
Expr::add(Expr::var("tile_row_base"), Expr::var("a_local_row")),
),
Node::let_bind(
"a_k",
Expr::add(Expr::var("k_base"), Expr::var("a_local_k")),
),
Node::Store {
buffer: "matmul_a_tile".into(),
index: Expr::var("a_linear"),
value: Expr::u32(0),
},
Node::if_then(
Expr::and(
Expr::lt(Expr::var("a_row"), Expr::u32(shape.m)),
Expr::lt(Expr::var("a_k"), Expr::u32(shape.k)),
),
vec![Node::Store {
buffer: "matmul_a_tile".into(),
index: Expr::var("a_linear"),
value: Expr::load(
a,
Expr::add(
Expr::mul(Expr::var("a_row"), Expr::u32(shape.k)),
Expr::var("a_k"),
),
),
}],
),
],
),
Node::let_bind(
"b_linear",
Expr::add(
local.clone(),
Expr::mul(Expr::var("load_pass"), Expr::u32(tile.lanes)),
),
),
Node::if_then(
Expr::lt(Expr::var("b_linear"), Expr::u32(tile.b_values)),
vec![
Node::let_bind(
"b_local_k",
Expr::div(Expr::var("b_linear"), Expr::u32(tile.out_cols)),
),
Node::let_bind(
"b_local_col",
Expr::rem(Expr::var("b_linear"), Expr::u32(tile.out_cols)),
),
Node::let_bind(
"b_k",
Expr::add(Expr::var("k_base"), Expr::var("b_local_k")),
),
Node::let_bind(
"b_col",
Expr::add(Expr::var("tile_col_base"), Expr::var("b_local_col")),
),
Node::Store {
buffer: "matmul_b_tile".into(),
index: Expr::var("b_linear"),
value: Expr::u32(0),
},
Node::if_then(
Expr::and(
Expr::lt(Expr::var("b_k"), Expr::u32(shape.k)),
Expr::lt(Expr::var("b_col"), Expr::u32(shape.n)),
),
vec![Node::Store {
buffer: "matmul_b_tile".into(),
index: Expr::var("b_linear"),
value: Expr::load(
b,
Expr::add(
Expr::mul(Expr::var("b_k"), Expr::u32(shape.n)),
Expr::var("b_col"),
),
),
}],
),
],
),
],
),
Node::barrier(),
Node::loop_for(
"tile_k",
Expr::u32(0),
Expr::u32(tile.k_tile),
vec![Node::if_then(
in_bounds.clone(),
vec![Node::assign(
"acc",
Expr::add(
Expr::var("acc"),
Expr::mul(
Expr::load(
"matmul_a_tile",
Expr::add(
Expr::mul(Expr::var("local_row"), Expr::u32(tile.k_tile)),
Expr::var("tile_k"),
),
),
Expr::load(
"matmul_b_tile",
Expr::add(
Expr::mul(Expr::var("tile_k"), Expr::u32(tile.out_cols)),
Expr::var("local_col"),
),
),
),
),
)],
)],
),
Node::barrier(),
],
));
body.push(Node::if_then(
in_bounds,
vec![Node::Store {
buffer: out.into(),
index: out_index,
value: Expr::var("acc"),
}],
));
body
}