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use crate::{backend::Backend, tensor::Shape, Data, ElementConversion};
use alloc::vec::Vec;
use burn_common::reader::Reader;
use core::ops::Range;
/// Int Tensor API for basic and numeric operations, see [tensor](crate::Tensor)
/// for documentation on each function.
pub trait IntTensorOps<B: Backend> {
/// Creates a new int tensor.
///
/// # Arguments
///
/// * `shape` - The shape of the tensor.
/// * `device` - The device to create the tensor on.
///
/// # Returns
///
/// The integer tensor with the given shape.
fn int_empty<const D: usize>(shape: Shape<D>, device: &B::Device) -> B::IntTensorPrimitive<D>;
/// Returns the shape of the tensor.
///
/// # Arguments
///
/// * `tensor` - The tensor.
///
/// # Returns
///
/// The shape of the tensor.
fn int_shape<const D: usize>(tensor: &B::IntTensorPrimitive<D>) -> Shape<D>;
/// Converts the tensor to a data structure.
///
/// # Arguments
///
/// * `tensor` - The tensor.
///
/// # Returns
///
/// The data structure with the tensor's data.
fn int_into_data<const D: usize>(
tensor: B::IntTensorPrimitive<D>,
) -> Reader<Data<B::IntElem, D>>;
/// Gets the data from the tensor.
///
/// # Arguments
///
/// * `tensor` - The tensor.
///
/// # Returns
///
/// The data cloned from the data structure.
fn int_to_data<const D: usize>(
tensor: &B::IntTensorPrimitive<D>,
) -> Reader<Data<B::IntElem, D>> {
Self::int_into_data(tensor.clone())
}
/// Creates a tensor from the data structure.
///
/// # Arguments
///
/// * `data` - The data structure.
/// * `device` - The device to create the tensor on.
///
/// # Returns
///
/// The tensor with the data.
fn int_from_data<const D: usize>(
data: Data<B::IntElem, D>,
device: &B::Device,
) -> B::IntTensorPrimitive<D>;
/// Gets the device of the tensor.
///
/// # Arguments
///
/// * `tensor` - The tensor.
///
/// # Returns
///
/// The device of the tensor.
fn int_device<const D: usize>(tensor: &B::IntTensorPrimitive<D>) -> B::Device;
/// Moves the tensor to the given device.
fn int_to_device<const D: usize>(
tensor: B::IntTensorPrimitive<D>,
device: &B::Device,
) -> B::IntTensorPrimitive<D>;
/// Reshapes the tensor.
///
/// # Arguments
///
/// * `tensor` - The tensor.
/// * `shape` - The new shape.
///
/// # Returns
///
/// The tensor with the new shape.
fn int_reshape<const D1: usize, const D2: usize>(
tensor: B::IntTensorPrimitive<D1>,
shape: Shape<D2>,
) -> B::IntTensorPrimitive<D2>;
/// Gets the element at the given indices.
///
/// # Arguments
///
/// * `tensor` - The tensor.
/// * `indices` - The indices.
///
/// # Returns
///
/// The elements at the given indices.
fn int_slice<const D1: usize, const D2: usize>(
tensor: B::IntTensorPrimitive<D1>,
indices: [Range<usize>; D2],
) -> B::IntTensorPrimitive<D1>;
/// Sets the element at the given indices.
///
/// # Arguments
///
/// * `tensor` - The tensor.
/// * `indices` - The indices.
///
/// # Returns
///
/// The tensor with the element at the given indices set.
fn int_slice_assign<const D1: usize, const D2: usize>(
tensor: B::IntTensorPrimitive<D1>,
indices: [Range<usize>; D2],
value: B::IntTensorPrimitive<D1>,
) -> B::IntTensorPrimitive<D1>;
/// Converts int tensor to float tensor.
///
/// # Arguments
///
/// * `tensor` - The tensor.
///
/// # Returns
///
/// The int tensor with the same data as the float tensor.
fn int_into_float<const D: usize>(tensor: B::IntTensorPrimitive<D>) -> B::TensorPrimitive<D>;
/// Fills the tensor with values from the source tensor if the mask is true at the given
/// indices.
///
/// # Arguments
///
/// * `tensor` - The tensor.
/// * `mask` - The mask.
/// * `source` - The source tensor.
///
/// # Returns
///
/// The tensor with the values filled.
fn int_mask_where<const D: usize>(
tensor: B::IntTensorPrimitive<D>,
mask: B::BoolTensorPrimitive<D>,
source: B::IntTensorPrimitive<D>,
) -> B::IntTensorPrimitive<D>;
/// Fills the tensor with the given value if the mask is true at the given indices.
///
/// # Arguments
///
/// * `tensor` - The tensor.
/// * `mask` - The mask.
/// * `value` - The value.
///
/// # Returns
///
/// The tensor with the values filled.
fn int_mask_fill<const D: usize>(
tensor: B::IntTensorPrimitive<D>,
mask: B::BoolTensorPrimitive<D>,
value: B::IntElem,
) -> B::IntTensorPrimitive<D>;
/// Gather elements from the tensor at the given indices.
///
/// # Arguments
///
/// * `dim` - The dimension to gather from.
/// * `tensor` - The tensor.
/// * `indices` - The indices.
fn int_gather<const D: usize>(
dim: usize,
tensor: B::IntTensorPrimitive<D>,
indices: B::IntTensorPrimitive<D>,
) -> B::IntTensorPrimitive<D>;
/// Scatter a given value to the tensor at the given indices.
///
/// # Arguments
///
/// * `dim` - The dimension to scatter to.
/// * `tensor` - The tensor.
/// * `indices` - The indices.
/// * `value` - The value.
///
/// # Returns
///
/// The tensor with the values scattered.
fn int_scatter<const D: usize>(
dim: usize,
tensor: B::IntTensorPrimitive<D>,
indices: B::IntTensorPrimitive<D>,
value: B::IntTensorPrimitive<D>,
) -> B::IntTensorPrimitive<D>;
/// Select tensor elements along the given dimension corresponding to the given indices.
///
/// # Arguments
///
/// * `tensor` - The tensor.
/// * `dim` - The dimension to select from.
/// * `indices` - The indices.
///
/// # Returns
///
/// The tensor with the selected elements.
fn int_select<const D: usize>(
tensor: B::IntTensorPrimitive<D>,
dim: usize,
indices: B::IntTensorPrimitive<1>,
) -> B::IntTensorPrimitive<D>;
/// Assign the selected elements along the given dimension corresponding to the given indices
/// to the given value.
///
/// # Arguments
///
/// * `tensor` - The tensor.
/// * `dim` - The dimension to select from.
/// * `indices` - The indices.
/// * `value` - The value.
///
/// # Returns
///
/// The tensor with the selected elements assigned to the given value.
fn int_select_assign<const D: usize>(
tensor: B::IntTensorPrimitive<D>,
dim: usize,
indices: B::IntTensorPrimitive<1>,
value: B::IntTensorPrimitive<D>,
) -> B::IntTensorPrimitive<D>;
/// Repeats the tensor along the given dimension the given number of times.
///
/// # Arguments
///
/// * `tensor` - The tensor.
/// * `dim` - The dimension to repeat.
/// * `times` - The number of times to repeat.
///
/// # Returns
///
/// The tensor with the given dimension repeated the given number of times.
fn int_repeat<const D: usize>(
tensor: B::IntTensorPrimitive<D>,
dim: usize,
times: usize,
) -> B::IntTensorPrimitive<D> {
let mut shape = Self::int_shape(&tensor);
if shape.dims[dim] != 1 {
panic!("Can only repeat dimension with dim=1");
}
shape.dims[dim] = times;
let mut i = 0;
let indices_select_all = [0; D].map(|_| {
let start = 0;
let end = shape.dims[i];
i += 1;
start..end
});
let mut tensor_output = Self::int_empty(shape, &Self::int_device(&tensor));
for i in 0..times {
let mut indices = indices_select_all.clone();
indices[dim] = i..i + 1;
tensor_output = Self::int_slice_assign(tensor_output, indices, tensor.clone());
}
tensor_output
}
/// Concatenates the given tensors along the given dimension.
///
/// # Arguments
///
/// * `tensors` - The tensors.
/// * `dim` - The dimension to concatenate along.
///
/// # Returns
///
/// The concatenated tensor.
fn int_cat<const D: usize>(
tensors: Vec<B::IntTensorPrimitive<D>>,
dim: usize,
) -> B::IntTensorPrimitive<D>;
/// Elementwise equality comparison.
///
/// # Arguments
///
/// * `lhs` - The left hand side tensor.
/// * `rhs` - The right hand side tensor.
///
/// # Returns
///
/// The boolean tensor with the result of the comparison.
fn int_equal<const D: usize>(
lhs: B::IntTensorPrimitive<D>,
rhs: B::IntTensorPrimitive<D>,
) -> B::BoolTensorPrimitive<D>;
/// Elementwise equality comparison with a scalar.
///
/// # Arguments
///
/// * `lhs` - The left hand side tensor.
/// * `rhs` - The right hand side scalar.
///
/// # Returns
///
/// The boolean tensor with the result of the comparison.
fn int_equal_elem<const D: usize>(
lhs: B::IntTensorPrimitive<D>,
rhs: B::IntElem,
) -> B::BoolTensorPrimitive<D>;
/// Elementwise greater than comparison.
///
/// # Arguments
///
/// * `lhs` - The left hand side tensor.
/// * `rhs` - The right hand side tensor.
///
/// # Returns
///
/// The boolean tensor with the result of the comparison.
fn int_greater<const D: usize>(
lhs: B::IntTensorPrimitive<D>,
rhs: B::IntTensorPrimitive<D>,
) -> B::BoolTensorPrimitive<D>;
/// Elementwise greater than comparison with a scalar.
///
/// # Arguments
///
/// * `lhs` - The left hand side tensor.
/// * `rhs` - The right hand side scalar.
///
/// # Returns
///
/// The boolean tensor with the result of the comparison.
fn int_greater_elem<const D: usize>(
lhs: B::IntTensorPrimitive<D>,
rhs: B::IntElem,
) -> B::BoolTensorPrimitive<D>;
/// Elementwise greater than or equal comparison.
///
/// # Arguments
///
/// * `lhs` - The left hand side tensor.
/// * `rhs` - The right hand side tensor.
///
/// # Returns
///
/// The boolean tensor with the result of the comparison.
fn int_greater_equal<const D: usize>(
lhs: B::IntTensorPrimitive<D>,
rhs: B::IntTensorPrimitive<D>,
) -> B::BoolTensorPrimitive<D>;
/// Elementwise greater than or equal comparison with a scalar.
///
/// # Arguments
///
/// * `lhs` - The left hand side tensor.
/// * `rhs` - The right hand side scalar.
///
/// # Returns
///
/// The boolean tensor with the result of the comparison.
fn int_greater_equal_elem<const D: usize>(
lhs: B::IntTensorPrimitive<D>,
rhs: B::IntElem,
) -> B::BoolTensorPrimitive<D>;
/// Elementwise less than comparison.
///
/// # Arguments
///
/// * `lhs` - The left hand side tensor.
/// * `rhs` - The right hand side tensor.
///
/// # Returns
///
/// The boolean tensor with the result of the comparison.
fn int_lower<const D: usize>(
lhs: B::IntTensorPrimitive<D>,
rhs: B::IntTensorPrimitive<D>,
) -> B::BoolTensorPrimitive<D>;
/// Elementwise less than comparison with a scalar.
///
/// # Arguments
///
/// * `lhs` - The left hand side tensor.
/// * `rhs` - The right hand side scalar.
///
/// # Returns
///
/// The boolean tensor with the result of the comparison.
fn int_lower_elem<const D: usize>(
lhs: B::IntTensorPrimitive<D>,
rhs: B::IntElem,
) -> B::BoolTensorPrimitive<D>;
/// Elementwise less than or equal comparison.
///
/// # Arguments
///
/// * `lhs` - The left hand side tensor.
/// * `rhs` - The right hand side tensor.
///
/// # Returns
///
/// The boolean tensor with the result of the comparison.
fn int_lower_equal<const D: usize>(
lhs: B::IntTensorPrimitive<D>,
rhs: B::IntTensorPrimitive<D>,
) -> B::BoolTensorPrimitive<D>;
/// Elementwise less than or equal comparison with a scalar.
///
/// # Arguments
///
/// * `lhs` - The left hand side tensor.
/// * `rhs` - The right hand side scalar.
///
/// # Returns
///
/// The boolean tensor with the result of the comparison.
fn int_lower_equal_elem<const D: usize>(
lhs: B::IntTensorPrimitive<D>,
rhs: B::IntElem,
) -> B::BoolTensorPrimitive<D>;
// ==== NUMERIC ==== //
/// Elementwise addition.
///
/// # Arguments
///
/// * `lhs` - The left hand side tensor.
/// * `rhs` - The right hand side tensor.
///
/// # Returns
///
/// The result of the addition.
fn int_add<const D: usize>(
lhs: B::IntTensorPrimitive<D>,
rhs: B::IntTensorPrimitive<D>,
) -> B::IntTensorPrimitive<D>;
/// Elementwise addition with a scalar.
///
/// # Arguments
///
/// * `lhs` - The left hand side tensor.
/// * `rhs` - The right hand side scalar.
///
/// # Returns
///
/// The result of the addition.
fn int_add_scalar<const D: usize>(
lhs: B::IntTensorPrimitive<D>,
rhs: B::IntElem,
) -> B::IntTensorPrimitive<D>;
/// Clamps a tensor under a minimum value.
///
/// # Arguments
///
/// * `tensor` - The tensor to clamp.
/// * `min` - The minimum value.
///
/// # Returns
///
/// The clamped tensor.
fn int_clamp_min<const D: usize>(
tensor: B::IntTensorPrimitive<D>,
min: B::IntElem,
) -> B::IntTensorPrimitive<D> {
let mask = Self::int_lower_elem(tensor.clone(), min);
Self::int_mask_fill(tensor, mask, min)
}
/// Clamps a tensor over a maximum value.
///
/// # Arguments
///
/// * `tensor` - The tensor to clamp.
/// * `max` - The maximum value.
///
/// # Returns
///
/// The clamped tensor.
fn int_clamp_max<const D: usize>(
tensor: B::IntTensorPrimitive<D>,
max: B::IntElem,
) -> B::IntTensorPrimitive<D> {
let mask = Self::int_greater_elem(tensor.clone(), max);
Self::int_mask_fill(tensor, mask, max)
}
/// Clamps a tensor between a minimum and maximum value.
///
/// # Arguments
///
/// * `tensor` - The tensor to clamp.
/// * `min` - The minimum value.
/// * `max` - The maximum value.
///
/// # Returns
///
/// The clamped tensor.
fn int_clamp<const D: usize>(
tensor: B::IntTensorPrimitive<D>,
min: B::IntElem,
max: B::IntElem,
) -> B::IntTensorPrimitive<D> {
Self::int_clamp_min(Self::int_clamp_max(tensor, max), min)
}
/// Elementwise subtraction.
///
/// # Arguments
///
/// * `lhs` - The left hand side tensor.
/// * `rhs` - The right hand side tensor.
///
/// # Returns
///
/// The result of the subtraction.
fn int_sub<const D: usize>(
lhs: B::IntTensorPrimitive<D>,
rhs: B::IntTensorPrimitive<D>,
) -> B::IntTensorPrimitive<D>;
/// Elementwise subtraction with a scalar.
///
/// # Arguments
///
/// * `lhs` - The left hand side tensor.
/// * `rhs` - The right hand side scalar.
///
/// # Returns
///
/// The result of the subtraction.
fn int_sub_scalar<const D: usize>(
lhs: B::IntTensorPrimitive<D>,
rhs: B::IntElem,
) -> B::IntTensorPrimitive<D>;
/// Elementwise multiplication.
///
/// # Arguments
///
/// * `lhs` - The left hand side tensor.
/// * `rhs` - The right hand side tensor.
///
/// # Returns
///
/// The result of the multiplication.
fn int_mul<const D: usize>(
lhs: B::IntTensorPrimitive<D>,
rhs: B::IntTensorPrimitive<D>,
) -> B::IntTensorPrimitive<D>;
/// Elementwise multiplication with a scalar.
///
/// # Arguments
///
/// * `lhs` - The left hand side tensor.
/// * `rhs` - The right hand side scalar.
///
/// # Returns
///
/// The result of the multiplication.
fn int_mul_scalar<const D: usize>(
lhs: B::IntTensorPrimitive<D>,
rhs: B::IntElem,
) -> B::IntTensorPrimitive<D>;
/// Elementwise division.
///
/// # Arguments
///
/// * `lhs` - The left hand side tensor.
/// * `rhs` - The right hand side tensor.
///
/// # Returns
///
/// The result of the division.
fn int_div<const D: usize>(
lhs: B::IntTensorPrimitive<D>,
rhs: B::IntTensorPrimitive<D>,
) -> B::IntTensorPrimitive<D>;
/// Elementwise division with a scalar.
///
/// # Arguments
///
/// * `lhs` - The left hand side tensor.
/// * `rhs` - The right hand side scalar.
///
/// # Returns
///
/// The result of the division.
fn int_div_scalar<const D: usize>(
lhs: B::IntTensorPrimitive<D>,
rhs: B::IntElem,
) -> B::IntTensorPrimitive<D>;
/// Elementwise negation.
///
/// # Arguments
///
/// * `tensor` - The tensor to negate.
///
/// # Returns
///
/// The negated tensor.
fn int_neg<const D: usize>(tensor: B::IntTensorPrimitive<D>) -> B::IntTensorPrimitive<D> {
Self::int_mul_scalar(tensor, (-1.0).elem::<B::IntElem>())
}
/// Creates a tensor of zeros.
///
/// # Arguments
///
/// * `shape` - The shape of the tensor.
/// * `device` - The device to create the tensor on.
///
/// # Returns
///
/// The tensor of zeros.
fn int_zeros<const D: usize>(shape: Shape<D>, device: &B::Device) -> B::IntTensorPrimitive<D>;
/// Creates a tensor of ones.
///
/// # Arguments
///
/// * `shape` - The shape of the tensor.
/// * `device` - The device to create the tensor on.
///
/// # Returns
///
/// The tensor of ones.
fn int_ones<const D: usize>(shape: Shape<D>, device: &B::Device) -> B::IntTensorPrimitive<D>;
/// Creates a tensor filled with given value.
///
/// # Arguments
///
/// * `shape` - The shape of the tensor.
/// * `fill_value` - The value with which to fill the tensor.
/// * `device` - The device to create the tensor on.
///
/// # Returns
///
/// The tensor filled with given value
fn int_full<const D: usize>(
shape: Shape<D>,
fill_value: B::IntElem,
device: &B::Device,
) -> B::IntTensorPrimitive<D> {
Self::int_add_scalar(Self::int_zeros(shape, device), fill_value)
}
/// Sums all elements in the tensor.
///
/// # Arguments
///
/// * `tensor` - The tensor to sum.
///
/// # Returns
///
/// The sum of all elements in the tensor.
fn int_sum<const D: usize>(tensor: B::IntTensorPrimitive<D>) -> B::IntTensorPrimitive<1>;
/// Sums all elements in the tensor along a dimension.
///
/// # Arguments
///
/// * `tensor` - The tensor to sum.
/// * `dim` - The dimension to sum along.
///
/// # Returns
///
/// The sum of all elements in the tensor along the dimension.
fn int_sum_dim<const D: usize>(
tensor: B::IntTensorPrimitive<D>,
dim: usize,
) -> B::IntTensorPrimitive<D>;
/// Computes the mean of all elements in the tensor.
///
/// # Arguments
///
/// * `tensor` - The tensor to compute the mean of.
///
/// # Returns
///
/// The mean of all elements in the tensor.
fn int_mean<const D: usize>(tensor: B::IntTensorPrimitive<D>) -> B::IntTensorPrimitive<1> {
let num_elems = B::int_shape(&tensor).num_elements();
B::int_div_scalar(B::int_sum(tensor), (num_elems as i64).elem())
}
/// Computes the mean of all elements in the tensor along a dimension.
///
/// # Arguments
///
/// * `tensor` - The tensor to compute the mean of.
///
/// # Returns
///
/// The mean of all elements in the tensor along the dimension.
fn int_mean_dim<const D: usize>(
tensor: B::IntTensorPrimitive<D>,
dim: usize,
) -> B::IntTensorPrimitive<D>;
/// Gets the indices of the maximum elements along a dimension.
///
/// # Arguments
///
/// * `tensor` - The tensor to get the maximum indices of.
/// * `dim` - The dimension to get the maximum indices along.
///
/// # Returns
///
/// The indices of the maximum elements along the dimension.
fn int_argmax<const D: usize>(
tensor: B::IntTensorPrimitive<D>,
dim: usize,
) -> B::IntTensorPrimitive<D>;
/// Gets the indices of the minimum elements along a dimension.
///
/// # Arguments
///
/// * `tensor` - The tensor to get the minimum indices of.
/// * `dim` - The dimension to get the minimum indices along.
///
/// # Returns
///
/// The indices of the minimum elements along the dimension.
fn int_argmin<const D: usize>(
tensor: B::IntTensorPrimitive<D>,
dim: usize,
) -> B::IntTensorPrimitive<D>;
/// Gets the maximum element in the tensor.
///
/// # Arguments
///
/// * `tensor` - The tensor to get the maximum element of.
///
/// # Returns
///
/// The maximum element in the tensor.
fn int_max<const D: usize>(tensor: B::IntTensorPrimitive<D>) -> B::IntTensorPrimitive<1> {
let shape = B::int_shape(&tensor);
let tensor = B::int_reshape(tensor, Shape::new([shape.num_elements()]));
B::int_max_dim(tensor, 0)
}
/// Gets the maximum element in the tensor along a dimension.
///
/// # Arguments
///
/// * `tensor` - The tensor to get the maximum element of.
/// * `dim` - The dimension to get the maximum element along.
///
/// # Returns
///
/// The maximum element in the tensor along the dimension.
fn int_max_dim<const D: usize>(
tensor: B::IntTensorPrimitive<D>,
dim: usize,
) -> B::IntTensorPrimitive<D> {
let index = B::int_argmax(tensor.clone(), dim);
B::int_gather(D - 1, tensor, index)
}
/// Gets the maximum elements and corresponding indices along a dimension.
///
/// # Arguments
///
/// * `tensor` - The tensor to get the maximum elements and indices of.
/// * `dim` - The dimension to get the maximum elements and indices along.
///
/// # Returns
///
/// The maximum elements and corresponding indices along the dimension.
fn int_max_dim_with_indices<const D: usize>(
tensor: B::IntTensorPrimitive<D>,
dim: usize,
) -> (B::IntTensorPrimitive<D>, B::IntTensorPrimitive<D>) {
let index = B::int_argmax(tensor.clone(), dim);
let values = B::int_gather(D - 1, tensor, index.clone());
(values, index)
}
/// Gets the minimum element in the tensor.
///
/// # Arguments
///
/// * `tensor` - The tensor to get the minimum element of.
///
/// # Returns
///
/// The minimum element in the tensor.
fn int_min<const D: usize>(tensor: B::IntTensorPrimitive<D>) -> B::IntTensorPrimitive<1> {
let shape = B::int_shape(&tensor);
let tensor = B::int_reshape(tensor, Shape::new([shape.num_elements()]));
B::int_min_dim(tensor, 0)
}
/// Gets the minimum elements in the tensor along a dimension.
///
/// # Arguments
///
/// * `tensor` - The tensor to get the minimum element of.
/// * `dim` - The dimension to get the minimum element along.
///
/// # Returns
///
/// The minimum element in the tensor along the dimension.
fn int_min_dim<const D: usize>(
tensor: B::IntTensorPrimitive<D>,
dim: usize,
) -> B::IntTensorPrimitive<D> {
let index = B::int_argmin(tensor.clone(), dim);
B::int_gather(D - 1, tensor, index)
}
/// Gets the minimum elements and corresponding indices along a dimension.
///
/// # Arguments
///
/// * `tensor` - The tensor to get the minimum elements and indices of.
/// * `dim` - The dimension to get the minimum elements and indices along.
///
/// # Returns
///
/// The minimum elements and corresponding indices along the dimension.
fn int_min_dim_with_indices<const D: usize>(
tensor: B::IntTensorPrimitive<D>,
dim: usize,
) -> (B::IntTensorPrimitive<D>, B::IntTensorPrimitive<D>) {
let indices = B::int_argmin(tensor.clone(), dim);
let values = B::int_gather(D - 1, tensor, indices.clone());
(values, indices)
}
/// Returns a new tensor with absolute values.
///
/// # Arguments
///
/// * `tensor` - The tensor to take absolute value of.
///
/// # Returns
///
/// A tensor with the same shape as `tensor` with absolute values.
fn int_abs<const D: usize>(tensor: B::IntTensorPrimitive<D>) -> B::IntTensorPrimitive<D>;
/// Transposes an int tensor.
///
/// # Arguments
///
/// * `tensor` - The tensor to transpose.
///
/// # Returns
///
/// The transposed tensor.
fn int_transpose<const D: usize>(tensor: B::IntTensorPrimitive<D>) -> B::IntTensorPrimitive<D> {
Self::int_swap_dims(tensor, D - 2, D - 1)
}
/// Swaps two dimensions of an int tensor.
///
/// # Arguments
///
/// * `tensor` - The tensor to swap the dimensions of.
/// * `dim1` - The first dimension to swap.
/// * `dim2` - The second dimension to swap.
///
/// # Returns
///
/// The tensor with the dimensions swapped.
fn int_swap_dims<const D: usize>(
tensor: B::IntTensorPrimitive<D>,
dim1: usize,
dim2: usize,
) -> B::IntTensorPrimitive<D>;
}