tract-onnx 0.23.0-dev.3

Tiny, no-nonsense, self contained, TensorFlow and ONNX inference
Documentation 
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
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93

use crate::model::ParsingContext;
use crate::pb::*;
use tract_hir::internal::*;
use tract_hir::ops;
use tract_hir::ops::logic::Comp;

pub fn rem(
    _ctx: &ParsingContext,
    node: &NodeProto,
) -> TractResult<(Box<dyn InferenceOp>, Vec<String>)> {
    if node.get_attr_opt::<i64>("fmod")? == Some(1) {
        Ok((ops::math::Rem.into_hir(), vec![]))
    } else {
        Ok((expand(RemInt), vec![]))
    }
}

#[derive(Debug, Clone, new, Hash)]
pub struct RemInt;

impl Expansion for RemInt {
    fn name(&self) -> StaticName {
        "Remint".into()
    }

    fn rules<'r, 'p: 'r, 's: 'r>(
        &'s self,
        s: &mut Solver<'r>,
        inputs: &'p [TensorProxy],
        outputs: &'p [TensorProxy],
    ) -> InferenceResult {
        tract_hir::ops::binary::rules(s, inputs, outputs, move |a, b| {
            a.common_super_type(b).with_context(|| format!("No super type for {a:?} and {b:?}"))
        })
    }

    fn wire(
        &self,
        name: &str,
        model: &mut TypedModel,
        inputs: &[OutletId],
    ) -> TractResult<TVec<OutletId>> {
        let zero = tract_hir::ops::activations::broadcast_scalar(0.0, model, inputs)?;
        let a = model.outlet_fact(inputs[0])?.datum_type;
        let b = model.outlet_fact(inputs[1])?.datum_type;
        let dt =
            a.common_super_type(b).with_context(|| format!("No super type for {a:?} and {b:?}"))?;
        let wires = tract_hir::ops::binary::wire_rank_broadcast(name, model, inputs)?;
        let wires = tract_hir::ops::binary::wire_cast(name, model, &wires, dt)?;
        if dt.is_unsigned() || dt == DatumType::TDim {
            return model.wire_node(name, tract_hir::ops::math::rem(), &wires);
        }
        // from onnx runtime:
        // auto res = x % y;
        // if ((res < 0 && y > 0) || (res > 0 && y < 0)) { res += y; }
        let zero = model.add_const(name.to_string() + ".zero", zero)?;
        let rem =
            model.wire_node(name.to_string() + ".rem", tract_hir::ops::math::rem(), &wires)?[0];
        let rem_is_neg =
            model.wire_node(name.to_string() + ".rem_is_neg", Comp::GT, &[zero, rem])?;
        let rem_is_pos =
            model.wire_node(name.to_string() + ".rem_is_pos", Comp::LT, &[zero, rem])?;
        let b_is_neg =
            model.wire_node(name.to_string() + ".b_is_neg", Comp::GT, &[zero, wires[1]])?;
        let b_is_pos =
            model.wire_node(name.to_string() + ".b_is_pos", Comp::LT, &[zero, wires[1]])?;
        let rem_is_neg_b_is_pos = model.wire_node(
            name.to_string() + ".rem_is_neg_b_is_pos",
            tract_hir::ops::logic::and(),
            &[rem_is_neg[0], b_is_pos[0]],
        )?;
        let rem_is_pos_b_is_neg = model.wire_node(
            name.to_string() + ".rem_is_pos_b_is_neg",
            tract_hir::ops::logic::and(),
            &[rem_is_pos[0], b_is_neg[0]],
        )?;
        let adjust = model.wire_node(
            name.to_string() + ".adjust",
            tract_hir::ops::logic::or(),
            &[rem_is_pos_b_is_neg[0], rem_is_neg_b_is_pos[0]],
        )?;
        let adjusted = model.wire_node(
            name.to_string() + ".adjusted",
            tract_hir::ops::math::add(),
            &[rem, wires[1]],
        )?;
        model.wire_node(
            name.to_string(),
            tract_core::ops::logic::Iff,
            &[adjust[0], adjusted[0], rem],
        )
    }
}