onnx-ir 0.19.0

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 
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use crate::ir::Node;
use crate::node::padding::{PaddingConfig2d, padding_config_2d};

/// Configuration for AvgPool2d operations
#[derive(Debug, Clone)]
pub struct AvgPool2dConfig {
    /// Kernel size [height, width]
    pub kernel_size: [usize; 2],
    /// Stride [height, width]
    pub strides: [usize; 2],
    /// Padding configuration
    pub padding: PaddingConfig2d,
    /// Whether to include padding in the average calculation
    pub count_include_pad: bool,
}

impl AvgPool2dConfig {
    /// Create a new AvgPool2dConfig
    pub fn new(
        kernel_size: [usize; 2],
        strides: [usize; 2],
        padding: PaddingConfig2d,
        count_include_pad: bool,
    ) -> Self {
        Self {
            kernel_size,
            strides,
            padding,
            count_include_pad,
        }
    }
}

/// Create a AvgPool2dConfig from the attributes of the node
pub fn avg_pool2d_config(curr: &Node) -> AvgPool2dConfig {
    let mut kernel_shape = Vec::new();
    let mut strides = vec![1, 1];
    let mut pads = vec![0, 0, 0, 0];
    let mut count_include_pad: i64 = 0;
    let mut ceil_mode: i64 = 0;

    for (key, value) in curr.attrs.iter() {
        match key.as_str() {
            "kernel_shape" => kernel_shape = value.clone().into_i64s(),
            "strides" => strides = value.clone().into_i64s(),
            "pads" => pads = value.clone().into_i64s(),
            "count_include_pad" => count_include_pad = value.clone().into_i64(),
            "ceil_mode" => ceil_mode = value.clone().into_i64(),
            "auto_pad" => {
                let auto_pad = value.clone().into_string();
                if auto_pad != "NOTSET" {
                    panic!("Unsupported 'auto_pad' value: {auto_pad}");
                }
            }
            _ => panic!("Unexpected attribute for AvgPool2d: {key}"),
        }
    }

    if ceil_mode == 1 {
        panic!("ceil_mode is not supported");
    }

    let padding = padding_config_2d(&pads);

    AvgPool2dConfig::new(
        [kernel_shape[0] as usize, kernel_shape[1] as usize],
        [strides[0] as usize, strides[1] as usize],
        padding,
        count_include_pad == 1,
    )
}

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

    fn create_test_node(
        kernel_shape: Vec<i64>,
        strides: Vec<i64>,
        pads: Vec<i64>,
        count_include_pad: i64,
        ceil_mode: i64,
    ) -> Node {
        NodeBuilder::new(NodeType::AveragePool2d, "test_avgpool2d")
            .input_tensor_f32("data", 4, None)
            .output_tensor_f32("output", 4, None)
            .attr_ints("kernel_shape", kernel_shape)
            .attr_ints("strides", strides)
            .attr_ints("pads", pads)
            .attr_int("count_include_pad", count_include_pad)
            .attr_int("ceil_mode", ceil_mode)
            .build()
    }

    #[test]
    fn test_avg_pool2d_config_basic() {
        let node = create_test_node(vec![3, 3], vec![1, 1], vec![0, 0, 0, 0], 0, 0);
        let config = avg_pool2d_config(&node);

        assert_eq!(config.kernel_size, [3, 3]);
        assert_eq!(config.strides, [1, 1]);
        assert!(!config.count_include_pad);
        assert!(matches!(config.padding, PaddingConfig2d::Valid));
    }

    #[test]
    fn test_avg_pool2d_config_with_padding() {
        let node = create_test_node(vec![2, 2], vec![2, 2], vec![1, 1, 1, 1], 0, 0);
        let config = avg_pool2d_config(&node);

        assert_eq!(config.kernel_size, [2, 2]);
        assert_eq!(config.strides, [2, 2]);
        assert!(!config.count_include_pad);
        assert!(matches!(config.padding, PaddingConfig2d::Explicit(1, 1)));
    }

    #[test]
    fn test_avg_pool2d_config_with_count_include_pad() {
        let node = create_test_node(vec![3, 3], vec![1, 1], vec![1, 1, 1, 1], 1, 0);
        let config = avg_pool2d_config(&node);

        assert_eq!(config.kernel_size, [3, 3]);
        assert_eq!(config.strides, [1, 1]);
        assert!(config.count_include_pad);
        assert!(matches!(config.padding, PaddingConfig2d::Explicit(1, 1)));
    }

    #[test]
    #[should_panic(expected = "ceil_mode is not supported")]
    fn test_avg_pool2d_config_with_ceil_mode() {
        let node = create_test_node(vec![3, 3], vec![1, 1], vec![0, 0, 0, 0], 0, 1);
        let _ = avg_pool2d_config(&node);
    }
}