quantrs2-ml 0.1.3

Quantum Machine Learning module for QuantRS2
Documentation 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39

//! # GenerationHead - Trait Implementations
//!
//! This module contains trait implementations for `GenerationHead`.
//!
//! ## Implemented Traits
//!
//! - `TaskHead`
//!
//! 🤖 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::GenerationHead;

impl TaskHead for GenerationHead {
    fn forward(&self, features: &Array4<f64>) -> Result<TaskOutput> {
        let (batch_size, _, height, width) = features.dim();
        let images = Array4::zeros((batch_size, self.output_channels, height, width));
        let latent_codes = Array2::zeros((batch_size, self.latent_dim));
        Ok(TaskOutput::Generation {
            images,
            latent_codes,
        })
    }
    fn parameters(&self) -> &Array1<f64> {
        &self.parameters
    }
    fn update_parameters(&mut self, _params: &Array1<f64>) -> Result<()> {
        Ok(())
    }
    fn clone_box(&self) -> Box<dyn TaskHead> {
        Box::new(self.clone())
    }
}