use burn_tensor::{
ops::{BoolTensor, BoolTensorOps, FloatTensor, IntTensor},
Device, Shape, TensorData,
};
use crate::{
element::{CandleElement, FloatCandleElement, IntCandleElement},
Candle, CandleTensor,
};
use super::base::{expand, permute};
impl<F: FloatCandleElement, I: IntCandleElement> BoolTensorOps<Self> for Candle<F, I> {
fn bool_empty<const D: usize>(shape: Shape<D>, device: &Device<Self>) -> BoolTensor<Self, D> {
super::base::empty(shape, device)
}
fn bool_shape<const D: usize>(tensor: &BoolTensor<Self, D>) -> Shape<D> {
super::base::shape(tensor)
}
async fn bool_into_data<const D: usize>(tensor: BoolTensor<Self, D>) -> TensorData {
let x: Vec<u8> = tensor.tensor.flatten_all().unwrap().to_vec1().unwrap();
let y = x.iter().map(|b| !matches!(b, 0)).collect();
TensorData::new(y, tensor.shape())
}
fn bool_from_data<const D: usize>(
data: TensorData,
device: &Device<Self>,
) -> BoolTensor<Self, D> {
let data: TensorData = TensorData::new(data.iter::<bool>().collect(), data.shape);
super::base::from_data(data, device)
}
fn bool_into_int<const D: usize>(tensor: BoolTensor<Self, D>) -> IntTensor<Self, D> {
CandleTensor::new(tensor.tensor.to_dtype(I::DTYPE).unwrap())
}
fn bool_into_float<const D: usize>(tensor: BoolTensor<Self, D>) -> FloatTensor<Self, D> {
CandleTensor::new(tensor.tensor.to_dtype(F::DTYPE).unwrap())
}
fn bool_device<const D: usize>(tensor: &BoolTensor<Self, D>) -> Device<Self> {
super::base::device(tensor)
}
fn bool_to_device<const D: usize>(
tensor: BoolTensor<Self, D>,
device: &Device<Self>,
) -> BoolTensor<Self, D> {
super::base::to_device(tensor, device)
}
fn bool_reshape<const D1: usize, const D2: usize>(
tensor: BoolTensor<Self, D1>,
shape: Shape<D2>,
) -> BoolTensor<Self, D2> {
super::base::reshape(tensor, shape)
}
fn bool_slice<const D1: usize, const D2: usize>(
tensor: BoolTensor<Self, D1>,
ranges: [std::ops::Range<usize>; D2],
) -> BoolTensor<Self, D1> {
super::base::slice(tensor, ranges)
}
fn bool_slice_assign<const D1: usize, const D2: usize>(
tensor: BoolTensor<Self, D1>,
ranges: [std::ops::Range<usize>; D2],
value: BoolTensor<Self, D1>,
) -> BoolTensor<Self, D1> {
super::base::slice_assign(tensor, ranges, value)
}
fn bool_cat<const D: usize>(
tensors: Vec<BoolTensor<Self, D>>,
dim: usize,
) -> BoolTensor<Self, D> {
super::base::cat(tensors, dim)
}
fn bool_equal<const D: usize>(
lhs: BoolTensor<Self, D>,
rhs: BoolTensor<Self, D>,
) -> BoolTensor<Self, D> {
CandleTensor::new(lhs.tensor.eq(&rhs.tensor).unwrap())
}
fn bool_not<const D: usize>(tensor: BoolTensor<Self, D>) -> BoolTensor<Self, D> {
let x = (candle_core::Tensor::zeros_like(&tensor.tensor).unwrap());
CandleTensor::new(tensor.tensor.eq(&x).unwrap())
}
fn bool_swap_dims<const D: usize>(
tensor: <Candle<F, I> as burn_tensor::backend::Backend>::BoolTensorPrimitive<D>,
dim1: usize,
dim2: usize,
) -> <Candle<F, I> as burn_tensor::backend::Backend>::BoolTensorPrimitive<D> {
super::base::swap_dims(tensor, dim1, dim2)
}
fn bool_narrow<const D: usize>(
tensor: BoolTensor<Self, D>,
dim: usize,
start: usize,
length: usize,
) -> BoolTensor<Self, D> {
super::base::narrow(tensor, dim, start, length)
}
fn bool_chunk<const D: usize>(
tensor: BoolTensor<Self, D>,
chunks: usize,
dim: usize,
) -> Vec<BoolTensor<Self, D>> {
super::base::chunk(tensor, chunks, dim)
}
fn bool_permute<const D: usize>(
tensor: BoolTensor<Self, D>,
axes: [usize; D],
) -> BoolTensor<Self, D> {
super::base::permute(tensor, axes)
}
fn bool_flip<const D: usize>(
tensor: BoolTensor<Self, D>,
axes: &[usize],
) -> BoolTensor<Self, D> {
super::base::flip(tensor, axes)
}
fn bool_expand<const D1: usize, const D2: usize>(
tensor: BoolTensor<Self, D1>,
shape: Shape<D2>,
) -> BoolTensor<Self, D2> {
expand(tensor, shape)
}
}