quantrs2_ml/computer_vision/
featureextractionhead_traits.rs

1//! # FeatureExtractionHead - Trait Implementations
2//!
3//! This module contains trait implementations for `FeatureExtractionHead`.
4//!
5//! ## Implemented Traits
6//!
7//! - `TaskHead`
8//!
9//! 🤖 Generated with [SplitRS](https://github.com/cool-japan/splitrs)
10
11use super::*;
12use crate::error::{MLError, Result};
13use scirs2_core::ndarray::*;
14use scirs2_core::random::prelude::*;
15use scirs2_core::{Complex32, Complex64};
16use std::f64::consts::PI;
17
18use super::types::FeatureExtractionHead;
19
20impl TaskHead for FeatureExtractionHead {
21    fn forward(&self, features: &Array4<f64>) -> Result<TaskOutput> {
22        let (batch_size, channels, _, _) = features.dim();
23        let pooled = features
24            .mean_axis(Axis(2))
25            .unwrap()
26            .mean_axis(Axis(2))
27            .unwrap();
28        let mut extracted_features = Array2::zeros((batch_size, self.feature_dim));
29        for i in 0..batch_size {
30            let feature_vec = pooled.slice(s![i, ..]).to_owned();
31            for j in 0..self.feature_dim {
32                extracted_features[[i, j]] = feature_vec[j % channels];
33            }
34            if self.normalize {
35                let norm = extracted_features
36                    .slice(s![i, ..])
37                    .mapv(|x| x * x)
38                    .sum()
39                    .sqrt();
40                if norm > 1e-10 {
41                    extracted_features
42                        .slice_mut(s![i, ..])
43                        .mapv_inplace(|x| x / norm);
44                }
45            }
46        }
47        Ok(TaskOutput::Features {
48            features: extracted_features,
49            attention_maps: None,
50        })
51    }
52    fn parameters(&self) -> &Array1<f64> {
53        &self.parameters
54    }
55    fn update_parameters(&mut self, _params: &Array1<f64>) -> Result<()> {
56        Ok(())
57    }
58    fn clone_box(&self) -> Box<dyn TaskHead> {
59        Box::new(self.clone())
60    }
61}
quantrs2_ml/computer_vision/featureextractionhead_traits.rs

quantrs2_ml/computer_vision/
featureextractionhead_traits.rs
