use crate::infer::*;
use crate::internal::*;
#[derive(Debug, Clone, new, Default, Hash)]
pub struct Split {
axis: isize,
outputs: usize,
split: Option<Vec<usize>>,
}
impl Split {
fn split_dims<D: DimLike>(&self, input: &D) -> TractResult<TVec<D>> {
if let Some(split) = self.split.as_ref() {
Ok(split.iter().map(|&d| D::from(d)).collect())
} else {
let bigs = input.clone().divceil(self.outputs);
let last = input.clone() - (bigs.clone() * (self.outputs - 1));
let mut splits = tvec!(bigs ; self.outputs - 1);
splits.push(last);
Ok(splits)
}
}
}
impl Expansion for Split {
fn name(&self) -> Cow<str> {
"Split".into()
}
fn rules<'r, 'p: 'r, 's: 'r>(
&'s self,
s: &mut Solver<'r>,
inputs: &'p [TensorProxy],
outputs: &'p [TensorProxy],
) -> InferenceResult {
check_input_arity(inputs, 1)?;
check_output_arity(outputs, self.outputs)?;
(0..self.outputs).try_for_each(|i| {
s.equals(&inputs[0].datum_type, &outputs[i].datum_type)?;
s.equals(&inputs[0].rank, &outputs[i].rank)
})?;
s.given(&inputs[0].shape, move |s, shape| {
let axis =
if self.axis < 0 { self.axis + shape.len() as isize } else { self.axis } as usize;
let dims = self.split_dims(&shape[axis])?;
for i in 0..self.outputs {
let mut shape = shape.clone();
shape[axis] = dims[i].clone();
s.equals(&outputs[i].shape, shape)?;
}
Ok(())
})?;
Ok(())
}
fn nboutputs(&self) -> TractResult<usize> {
Ok(self.outputs)
}
fn wire(
&self,
prefix: &str,
target: &mut TypedModel,
inputs: &[OutletId],
) -> TractResult<TVec<OutletId>> {
let input = target.outlet_fact(inputs[0])?.clone();
let mut outputs = tvec!();
let mut current = 0.to_dim();
let axis =
if self.axis < 0 { self.axis + input.rank() as isize } else { self.axis } as usize;
for (ix, len) in self.split_dims(&input.shape[axis])?.into_iter().enumerate() {
let end = current.clone() + len;
outputs.push(
target.wire_node(
format!("{prefix}.axis{axis}_slice{ix}_{current}..{end}"),
crate::ops::array::Slice::new(axis, current, end.clone()),
inputs,
)?[0],
);
current = end;
}
Ok(outputs)
}
}