onnx-ir 0.21.0

ONNX-IR is a pure Rust library for parsing ONNX models into an intermediate representation that can be used to generate code for various ML/DL frameworks
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
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151

//! # Shrink
//!
//! Applies element-wise shrinkage to the input tensor.
//!
//! **ONNX Spec**: <https://onnx.ai/onnx/operators/onnx__Shrink.html>
//!
//! ## Opset Versions
//! - **Opset 9**: Initial version
use onnx_ir_derive::NodeBuilder;

use crate::ir::{Argument, Node, RawNode};
use crate::processor::{
    InputSpec, NodeProcessor, NodeSpec, OutputPreferences, OutputSpec, ProcessError,
};

/// Configuration for Shrink operation
#[derive(Debug, Clone, new)]
pub struct ShrinkConfig {
    /// The lambda value for the Shrink formulation. Default is 0.5.
    pub lambda: f64,
    /// The bias value added to output. Default is 0.
    pub bias: f64,
}

/// Node representation for Shrink operation
#[derive(Debug, Clone, NodeBuilder)]
pub struct ShrinkNode {
    pub name: String,
    pub inputs: Vec<Argument>,
    pub outputs: Vec<Argument>,
    pub config: ShrinkConfig,
}

pub(crate) struct ShrinkProcessor;

impl NodeProcessor for ShrinkProcessor {
    type Config = ShrinkConfig;

    fn spec(&self) -> NodeSpec {
        NodeSpec {
            min_opset: 9,
            max_opset: None,
            inputs: InputSpec::Exact(1),
            outputs: OutputSpec::Exact(1),
        }
    }

    fn infer_types(
        &self,
        node: &mut RawNode,
        _opset: usize,
        _output_preferences: &OutputPreferences,
    ) -> Result<(), ProcessError> {
        crate::processor::same_as_input(node);
        Ok(())
    }

    fn extract_config(&self, node: &RawNode, _opset: usize) -> Result<Self::Config, ProcessError> {
        let mut lambda = 0.5;
        let mut bias = 0.0;

        for (key, value) in node.attrs.iter() {
            match key.as_str() {
                "bias" => {
                    bias = value.clone().into_f32() as f64;
                }
                "lambd" => {
                    lambda = value.clone().into_f32() as f64;
                }
                _ => {}
            }
        }

        Ok(ShrinkConfig { lambda, bias })
    }

    fn build_node(&self, builder: RawNode, opset: usize) -> Node {
        let config = self
            .extract_config(&builder, opset)
            .expect("Config extraction failed");

        Node::Shrink(ShrinkNode {
            name: builder.name,
            inputs: builder.inputs,
            outputs: builder.outputs,
            config,
        })
    }
}

#[cfg(test)]
mod tests {
    use super::*;
    use crate::ir::NodeType;
    use crate::node::test_utils::TestNodeBuilder;

    fn create_test_node(bias: f32, lambda: f32) -> RawNode {
        TestNodeBuilder::new(NodeType::Shrink, "test_shrink")
            .input_tensor_f32("X", 3, None)
            .output_tensor_f32("Y", 3, None)
            .attr_float("lambd", lambda)
            .attr_float("bias", bias)
            .build()
    }

    #[test]
    fn test_shrink_config_with_lambda_and_bias() {
        let node = create_test_node(1.0, 1.5);
        let processor = ShrinkProcessor;
        let config = processor
            .extract_config(&node, 9)
            .expect("Config extraction failed");
        assert_eq!(config.lambda, 1.5);
        assert_eq!(config.bias, 1.0);
    }

    #[test]
    fn test_shrink_config_with_defaults() {
        let node = TestNodeBuilder::new(NodeType::Shrink, "test_shrink_defaults")
            .input_tensor_f32("X", 3, None)
            .output_tensor_f32("Y", 3, None)
            .build();
        let processor = ShrinkProcessor;
        let config = processor
            .extract_config(&node, 9)
            .expect("Config extraction failed");
        assert_eq!(config.lambda, 0.5);
        assert_eq!(config.bias, 0.0);
    }

    #[test]
    fn test_shrink_infer_types() {
        let mut node = TestNodeBuilder::new(NodeType::Shrink, "test_shrink_infer")
            .input_tensor_f32("X", 3, None)
            .output_default("Y")
            .attr_float("lambd", 1.5)
            .attr_float("bias", 1.0)
            .build();
        let processor = ShrinkProcessor;
        processor
            .infer_types(&mut node, 9, &OutputPreferences::default())
            .unwrap();
        match &node.outputs[0].ty {
            crate::ir::ArgType::Tensor(t) => {
                assert_eq!(t.rank, 3);
                assert_eq!(t.dtype, crate::ir::DType::F32);
            }
            _ => panic!("Expected tensor output"),
        }
    }
}