tract_tensorflow/ops/
control_flow.rs1use tract_hir::internal::*;
2
3use crate::model::TfOpRegister;
4
5pub fn register_all_ops(reg: &mut TfOpRegister) {
6 reg.insert("Enter", |_, node| {
7 Ok(Box::new(LoopGate(LoopGateRole::Enter(node.get_attr_str("frame_name")?))))
8 });
9 reg.insert("Exit", |_, _| Ok(Box::new(LoopGate(LoopGateRole::Exit))));
10 reg.insert("LoopCond", |_, _| Ok(Box::new(LoopGate(LoopGateRole::LoopCond))));
11}
12
13#[derive(Debug, Clone, Hash, PartialEq, Eq)]
14pub enum LoopGateRole {
15 Enter(String),
16 Exit,
17 LoopCond,
18}
19
20#[derive(Debug, Clone, Hash, PartialEq, Eq)]
21pub struct LoopGate(LoopGateRole);
22
23impl Op for LoopGate {
24 fn name(&self) -> StaticName {
25 format!("{:?}", self.0).into()
26 }
27
28 not_a_typed_op!();
29}
30
31impl EvalOp for LoopGate {
32 op_out_of_plan!();
33
34 fn eval(&self, _ctx: &EvalContext, inputs: TVec<TValue>) -> TractResult<TVec<TValue>> {
35 Ok(inputs)
36 }
37}
38
39impl InferenceRulesOp for LoopGate {
40 fn rules<'r, 'p: 'r, 's: 'r>(
41 &'s self,
42 s: &mut Solver<'r>,
43 inputs: &'p [TensorProxy],
44 outputs: &'p [TensorProxy],
45 ) -> InferenceResult {
46 check_input_arity(inputs, 1)?;
47 check_output_arity(outputs, 1)?;
48 s.equals(&inputs[0].datum_type, &outputs[0].datum_type)?;
49 s.equals(&inputs[0].shape, &outputs[0].shape)?;
50 Ok(())
51 }
52
53 as_op!();
54}
55
56#[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)]
57pub enum NextIterationRole {
58 Source,
59 Sink,
60}
61
62#[derive(Debug, Clone, new, Hash, PartialEq, Eq)]
63pub struct NextIteration {
64 name: String,
65 role: NextIterationRole,
66}
67
68impl Op for NextIteration {
69 fn name(&self) -> StaticName {
70 format!("{:?}({})", self.role, self.name).into()
71 }
72
73 not_a_typed_op!();
74}
75
76impl EvalOp for NextIteration {
77 not_out_of_plan!();
78
79 fn state(&self, _ctx: &EvalContext) -> TractResult<Option<Box<dyn OpState>>> {
80 unimplemented!();
81 }
82}
83
84impl InferenceRulesOp for NextIteration {
85 fn rules<'r, 'p: 'r, 's: 'r>(
86 &'s self,
87 _s: &mut Solver<'r>,
88 inputs: &'p [TensorProxy],
89 outputs: &'p [TensorProxy],
90 ) -> InferenceResult {
91 match self.role {
92 NextIterationRole::Source => {
93 check_input_arity(inputs, 0)?;
94 check_output_arity(outputs, 1)?;
95 }
96 NextIterationRole::Sink => {
97 check_input_arity(inputs, 1)?;
98 check_output_arity(outputs, 0)?;
99 }
100 }
101 Ok(())
102 }
103
104 as_op!();
105}