tract_core/ops/array/
scatter_elements.rs1use crate::internal::*;
2use ndarray::*;
3
4#[derive(Debug, Clone, new, Hash)]
5pub struct ScatterElements {
6 pub axis: usize,
7}
8
9
10impl Op for ScatterElements {
11 fn name(&self) -> Cow<str> {
12 "ScatterElements".into()
13 }
14
15 op_as_typed_op!();
16}
17
18impl ScatterElements {
19 unsafe fn eval_t<T: Datum>(
20 &self,
21 data: TValue,
22 indices: &ArrayViewD<i64>,
23 updates: TValue,
24 ) -> TractResult<TValue> {
25 let mut data = data.into_tensor().into_array_unchecked::<T>();
26 let updates_view = updates.to_array_view_unchecked::<T>();
27 for (mut coords, value) in updates_view.indexed_iter() {
28 let index = indices[&coords];
29 coords[self.axis] =
30 if index < 0 { index + data.shape()[self.axis] as i64 } else { index } as usize;
31 data[coords] = value.clone()
32 }
33 let mut tensor = data.into_tensor();
34 tensor.set_datum_type(updates.datum_type());
35 Ok(tensor.into_tvalue())
36 }
37}
38
39impl TypedOp for ScatterElements {
40 as_op!();
41
42 fn output_facts(&self, inputs: &[&TypedFact]) -> TractResult<TVec<TypedFact>> {
43 Ok(tvec!(inputs[0].datum_type.fact(inputs[0].shape.clone())))
44 }
45}
46
47impl EvalOp for ScatterElements {
48 fn is_stateless(&self) -> bool {
49 true
50 }
51
52 fn eval(&self, inputs: TVec<TValue>) -> TractResult<TVec<TValue>> {
53 let (data, indices, updates) = args_3!(inputs);
54 let indices = indices.cast_to::<i64>()?;
55 let indices = indices.to_array_view::<i64>()?;
56 if data.datum_type() != updates.datum_type() {
57 bail!(
58 "Data and update must be of the same type, got {:?} and {:?}",
59 data.datum_type(),
60 updates.datum_type()
61 );
62 }
63 unsafe {
64 Ok(tvec!(dispatch_datum_by_size!(Self::eval_t(data.datum_type())(
65 self, data, &indices, updates
66 ))?))
67 }
68 }
69}