rustorch 0.6.29

/// Parallel tensor operations
/// 並列テンソル操作
use crate::tensor::Tensor;
use num_traits::Float;

/// Parallel tensor wrapper for automatic parallelization
pub struct ParallelTensor<T: Float + 'static + ndarray::ScalarOperand + num_traits::FromPrimitive> {
    tensor: Tensor<T>,
}

impl<T: Float + 'static + ndarray::ScalarOperand + num_traits::FromPrimitive> ParallelTensor<T> {
    /// Create parallel tensor from regular tensor
    pub fn from_tensor(tensor: Tensor<T>) -> Self {
        Self { tensor }
    }

    /// Parallel sum operation
    pub fn sum(&self) -> T {
        // Mock implementation - in reality would use parallel reduction
        self.tensor
            .as_slice()
            .unwrap_or(&[])
            .iter()
            .fold(T::zero(), |acc, &x| acc + x)
    }

    /// Parallel map operation
    pub fn map<F>(&self, f: F) -> Tensor<T>
    where
        F: Fn(T) -> T + Send + Sync,
    {
        // Mock implementation - in reality would use rayon
        let result_data: Vec<T> = self.tensor.data.iter().map(|&x| f(x)).collect();
        Tensor::from_vec(result_data, self.tensor.shape().to_vec())
    }
}