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use super::Tensor;
use crate::tensor::backend::Backend;
use crate::tensor::{Data, Shape};
#[derive(Debug, Clone)]
pub struct BoolTensor<B: Backend, const D: usize> {
pub(crate) value: B::BoolTensorPrimitive<D>,
}
impl<B, const D: usize> BoolTensor<B, D>
where
B: Backend,
{
pub fn new(tensor: B::BoolTensorPrimitive<D>) -> Self {
Self { value: tensor }
}
pub fn shape(&self) -> &Shape<D> {
B::bool_shape(&self.value)
}
pub fn to_device(&self, device: B::Device) -> Self {
Self::new(B::bool_to_device(&self.value, device))
}
pub fn dims(&self) -> [usize; D] {
self.shape().dims
}
pub fn into_data(self) -> Data<bool, D> {
B::bool_into_data(self.value)
}
pub fn to_data(&self) -> Data<bool, D> {
B::bool_to_data(&self.value)
}
pub fn from_data(data: Data<bool, D>) -> Self {
let value = B::from_data_bool(data, B::Device::default());
Self::new(value)
}
pub fn to_int(&self) -> Tensor<B::IntegerBackend, D> {
let data = B::bool_to_data(&self.value);
Tensor::from_data(data.convert())
}
pub fn from_int_backend(tensor: BoolTensor<B::IntegerBackend, D>) -> Self {
Self::new(tensor.value.into())
}
pub fn reshape<const D2: usize, S: Into<Shape<D2>>>(&self, shape: S) -> BoolTensor<B, D2> {
BoolTensor::new(B::bool_reshape(&self.value, shape.into()))
}
pub fn index<const D2: usize>(&self, indexes: [std::ops::Range<usize>; D2]) -> Self {
Self::new(B::bool_index(&self.value, indexes))
}
}