ONNX import generates integer for Interpolate2DConfig when it should be f32

[torsteingrindvik]

Describe the bug

The generated code for this onnx model: https://github.com/opencv/opencv_zoo/blob/main/models/face_detection_yunet/face_detection_yunet_2023mar.onnx

contains this code:

        let resize2 = Interpolate2dConfig::new()
            .with_output_size(None)
            .with_scale_factor(Some([2, 2]))
            .with_mode(InterpolateMode::Nearest)
            .init();

This doesn't compile since scale factor should be f32.

@laggui states:

Ahhh the conversion to a token stream uses f32.to_string(), but if the value doesn't have a decimal point the compiler complains that it's not f32.

https://github.com/tracel-ai/burn/blob/main/crates/burn-import/src/burn/codegen.rs#L9

Expected behavior

The code should compile.

Desktop (please complete the following information):

• OS: Arch
• Version: Burn 93cafc4 0.17.0

Additional context

Discord chat context: https://discordapp.com/channels/1038839012602941528/1059209073784008835/1329098432580816936

[antimora]

#2708 should fix it. Currently in the review status. With this fix, you should be able to compile the code.

I checked code generation and it appears the values are rendered correctly. I encourage you to check again with the build. I only converted the onnx file to rs code:

        let conv2d25 = Conv2dConfig::new([64, 64], [3, 3])
            .with_stride([1, 1])
            .with_padding(PaddingConfig2d::Explicit(1, 1))
            .with_dilation([1, 1])
            .with_groups(64)
            .with_bias(true)
            .init(device);
        let resize1 = Interpolate2dConfig::new()
            .with_output_size(None)
            .with_scale_factor(Some([2.0, 2.0]))
            .with_mode(InterpolateMode::Nearest)
            .init();
        let conv2d26 = Conv2dConfig::new([64, 64], [1, 1])
            .with_stride([1, 1])
            .with_padding(PaddingConfig2d::Valid)
            .with_dilation([1, 1])
            .with_groups(1)
            .with_bias(true)
            .init(device);
        let conv2d27 = Conv2dConfig::new([64, 64], [3, 3])
            .with_stride([1, 1])
            .with_padding(PaddingConfig2d::Explicit(1, 1))
            .with_dilation([1, 1])
            .with_groups(64)
            .with_bias(true)
            .init(device);
        let resize2 = Interpolate2dConfig::new()
            .with_output_size(None)
            .with_scale_factor(Some([2.0, 2.0]))
            .with_mode(InterpolateMode::Nearest)
            .init();
        let conv2d28 = Conv2dConfig::new([64, 64], [1, 1])
            .with_stride([1, 1])
            .with_padding(PaddingConfig2d::Valid)
            .with_dilation([1, 1])
            .with_groups(1)
            .with_bias(true)
            .init(device);