use crate::error::Result;
use crate::graph::OnnxGraph;
use crate::passes::OptimizationPass;

/// Operator fusion pass
/// Fuses common operator patterns for better performance
pub struct OperatorFusionPass;

impl OptimizationPass for OperatorFusionPass {
    fn name(&self) -> &str {
        "operator_fusion"
    }

    fn apply(&self, _graph: &mut OnnxGraph) -> Result<bool> {
        // For now, this is a placeholder
        // Full implementation would fuse patterns like:
        // - Conv + BatchNorm -> Conv (merge BN params into conv weights)
        // - Conv + ReLU -> Conv with activation
        // - MatMul + Add -> Gemm
        // - Reshape + Reshape -> Single Reshape

        log::info!("Operator fusion pass (placeholder - not yet implemented)");
        Ok(false)
    }
}
