tract_core/ops/
logic.rs

1#![allow(clippy::bool_comparison)]
2#![allow(clippy::unnecessary_cast)]
3
4mod comparison;
5mod ite;
6pub use ite::IfThenElse;
7pub use comparison::Comp;
8
9use ndarray::*;
10
11use crate::broadcast::multi_broadcast;
12use crate::internal::*;
13
14bin_to_super_type!(and, And,
15                   [bool, u8, u16, u32, u64, i8, i16, i32, i64] => |c, &a, &b| *c = (a as i64 != 0 && b as i64 != 0) as _);
16bin_to_super_type!(or, Or,
17                   [bool, u8, u16, u32, u64, i8, i16, i32, i64] => |c, &a, &b| *c = (a as i64 != 0 || b as i64 != 0) as _);
18bin_to_super_type!(xor, Xor, /*flip: commute, */ [bool] => |c, &a, &b| *c = a ^ b);
19
20element_wise!(not, Not, [bool] => |_, vs| {
21    vs.iter_mut().for_each(|a| *a = !*a);
22    Ok(())
23});
24
25#[derive(Debug, Clone, new, Default, Hash)]
26pub struct Iff;
27
28impl Iff {
29    pub unsafe fn eval_t<T: Datum>(
30        cond: &ArrayViewD<bool>,
31        out: &mut Tensor,
32        t: &Tensor,
33        f: &Tensor,
34    ) {
35        Zip::from(out.to_array_view_mut_unchecked::<T>())
36            .and_broadcast(cond)
37            .and_broadcast(t.to_array_view_unchecked::<T>())
38            .and_broadcast(f.to_array_view_unchecked::<T>())
39            .for_each(|r, c, t, f| *r = if *c { t.clone() } else { f.clone() })
40    }
41}
42
43impl Op for Iff {
44    fn name(&self) -> Cow<str> {
45        "Iff".into()
46    }
47    op_as_typed_op!();
48}
49
50impl EvalOp for Iff {
51    fn is_stateless(&self) -> bool {
52        true
53    }
54
55    fn eval(&self, inputs: TVec<TValue>) -> TractResult<TVec<TValue>> {
56        let (cond, t, f) = args_3!(inputs);
57        anyhow::ensure!(t.datum_type() == f.datum_type());
58        let shape: TVec<usize> = multi_broadcast(&[cond.shape(), t.shape(), f.shape()])?;
59        unsafe {
60            let mut result = Tensor::uninitialized_dt(t.datum_type(), &shape)?;
61            let cond = cond.to_array_view::<bool>()?;
62            dispatch_datum_by_size!(Self::eval_t(t.datum_type())(&cond, &mut result, &t, &f));
63            Ok(tvec!(result.into_tvalue()))
64        }
65    }
66}
67
68impl TypedOp for Iff {
69    as_op!();
70
71    fn output_facts(&self, inputs: &[&TypedFact]) -> TractResult<TVec<TypedFact>> {
72        anyhow::ensure!(inputs.len() == 3, "Iff expects 3 intputs.");
73        if inputs[1].datum_type != inputs[2].datum_type {
74            bail!("Then and else tensors type mismatch ({:?} and {:?}).", inputs[1], inputs[2]);
75        }
76        if inputs[0].rank() != inputs[1].rank() || inputs[0].rank() != inputs[2].rank() {
77            bail!("Inconsistent ranks, {:?}", inputs);
78        }
79        let shape = multi_broadcast(&[
80            inputs[0].shape.to_tvec(),
81            inputs[1].shape.to_tvec(),
82            inputs[2].shape.to_tvec(),
83        ])
84        .unwrap();
85        Ok(tvec!(inputs[1].datum_type.fact(shape)))
86    }
87
88    fn axes_mapping(
89        &self,
90        inputs: &[&TypedFact],
91        outputs: &[&TypedFact],
92    ) -> TractResult<AxesMapping> {
93        AxesMapping::natural(inputs, outputs)
94    }
95}
96
97bin_to_super_type!(bitand, BitAnd,
98                   [bool, u8, u16, u32, u64, i8, i16, i32, i64] => |c, &a, &b| *c = a & b);
99bin_to_super_type!(bitor, BitOr,
100                   [bool, u8, u16, u32, u64, i8, i16, i32, i64] => |c, &a, &b| *c = a | b);
101bin_to_super_type!(bitxor, BitXor,
102                   [bool, u8, u16, u32, u64, i8, i16, i32, i64] => |c, &a, &b| *c = a ^ b);
103
104element_wise!(bitnot, BitNot, [bool, u8, u16, u32, u64, i8, i16, i32, i64] => |_, xs| {
105    xs.iter_mut().for_each(|x| *x = !*x);
106    Ok(())
107});
tract_core/ops/logic.rs

tract_core/ops/
logic.rs
