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// RLX — versatile ML compiler + runtime.
// Copyright (C) 2026 Eugene Hauptmann, Nataliya Kosmyna.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation, version 3.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program. If not, see <https://www.gnu.org/licenses/>.
use anyhow::Result;
use rlx_ir::HirGraphExt;
use rlx_ir::hir::HirMut;
use super::BlockStage;
use crate::context::FlowCtx;
use crate::value::FlowValue;
#[derive(Debug, Clone)]
pub struct LinearStage {
pub weight_key: String,
pub transpose: bool,
}
impl LinearStage {
pub fn new(weight_key: impl Into<String>, transpose: bool) -> Self {
Self {
weight_key: weight_key.into(),
transpose,
}
}
}
impl BlockStage for LinearStage {
fn emit(&self, ctx: &mut FlowCtx<'_>, input: FlowValue) -> Result<Option<FlowValue>> {
let w = ctx.load_param(&self.weight_key, self.transpose)?;
let mut gb = HirMut::new(ctx.hir());
let id = gb.mm(input.id, w);
let out_shape = gb.shape(id).clone();
Ok(Some(ctx.wrap(id, out_shape)))
}
}