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| use crate::error::Result; | |
| use crate::generators::ImageGenerator; | |
| use std::path::Path; | |
| use async_trait::async_trait; | |
| pub struct TensorRTGenerator { | |
| pub model_path: String, | |
| } | |
| impl TensorRTGenerator { | |
| pub fn new(model_path: &str) -> Result<Self> { | |
| println!(" 🚀 [COMPILED] Initialisation du moteur TensorRT via ORT (Native Acceleration)"); | |
| Ok(Self { | |
| model_path: model_path.to_string(), | |
| }) | |
| } | |
| } | |
| impl ImageGenerator for TensorRTGenerator { | |
| async fn generate( | |
| &self, | |
| prompt: &str, | |
| output_path: &Path, | |
| _scene_index: usize, | |
| _is_last: bool, | |
| ) -> Result<bool> { | |
| println!(" 🎨 [TENSORRT] Inférence compilée pour: {}", prompt.chars().take(40).collect::<String>()); | |
| // Note: L'implémentation complète nécessite de lier les entrées/sorties | |
| // aux fichiers .engine générés par NVIDIA. | |
| if !output_path.exists() { | |
| println!(" 💡 Moteur TensorRT chargé. Prêt pour l'inférence optimisée."); | |
| } | |
| Ok(false) | |
| } | |
| } | |