1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
use crate::ops::prelude::*;
#[derive(Debug, Clone, new, Default)]
pub struct MultiBroadcastTo;
impl MultiBroadcastTo {
fn eval_t<T: Datum>(input: &Tensor, shape: &[usize]) -> TractResult<TVec<SharedTensor>> {
let input = input.to_array_view::<T>()?;
let output = input.broadcast(&*shape).ok_or("incompatible shapes")?;
Ok(tvec![output.to_owned().into()])
}
}
impl Op for MultiBroadcastTo {
fn name(&self) -> Cow<str> {
"MultiBroadcastTo".into()
}
}
impl StatelessOp for MultiBroadcastTo {
fn eval(&self, mut inputs: TVec<SharedTensor>) -> TractResult<TVec<SharedTensor>> {
let (input, dims) = args_2!(inputs);
let dims: Vec<usize> = dims
.to_array_view::<i64>()?
.iter()
.map(|i| *i as usize)
.collect();
let dims = crate::broadcast::multi_broadcast(&[&*dims, &*input.shape()])
.ok_or("incompatible shapes")?;
dispatch_datum!(Self::eval_t(input.datum_type())(input.as_tensor(), &*dims))
}
}
impl InferenceRulesOp for MultiBroadcastTo {
fn rules<'r, 'p: 'r, 's: 'r>(
&'s self,
s: &mut Solver<'r>,
inputs: &'p SharedTensorsProxy,
outputs: &'p SharedTensorsProxy,
) -> InferenceResult {
s.equals(&inputs.len, 2)?;
s.equals(&outputs.len, 1)?;
s.equals(&inputs[1].datum_type, DatumType::I64)?;
s.equals(&outputs[0].datum_type, &inputs[0].datum_type)?;
s.equals(&inputs[1].rank, 1)?;
s.given(&inputs[0].shape, move |s, shape| {
s.given(&inputs[1].value, move |s, dims| {
let dims: Vec<TDim> = dims
.to_array_view::<i64>()
.unwrap()
.iter()
.map(|i| TDim::from(*i))
.collect();
let dims = crate::broadcast::multi_broadcast(&[&*dims, &*shape])
.ok_or("incompatible shapes")
.unwrap();
s.equals(&outputs[0].shape, ShapeFact::from(dims))
})
})
}
}