quantrs2-ml 0.1.3

Quantum Machine Learning module for QuantRS2
Documentation 
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//! # QuantumResNetBackbone - Trait Implementations
//!
//! This module contains trait implementations for `QuantumResNetBackbone`.
//!
//! ## Implemented Traits
//!
//! - `VisionModel`
//!
//! 🤖 Generated with [SplitRS](https://github.com/cool-japan/splitrs)

use super::*;
use crate::error::{MLError, Result};
use scirs2_core::ndarray::*;
use scirs2_core::random::prelude::*;
use scirs2_core::{Complex32, Complex64};
use std::f64::consts::PI;

use super::types::QuantumResNetBackbone;

impl VisionModel for QuantumResNetBackbone {
    fn forward(&self, input: &Array4<f64>) -> Result<Array4<f64>> {
        Ok(input.clone())
    }
    fn parameters(&self) -> &Array1<f64> {
        &self.parameters
    }
    fn update_parameters(&mut self, _params: &Array1<f64>) -> Result<()> {
        Ok(())
    }
    fn num_parameters(&self) -> usize {
        1000
    }
    fn clone_box(&self) -> Box<dyn VisionModel> {
        Box::new(self.clone())
    }
}