tract-core 0.23.0-dev.4

Tiny, no-nonsense, self contained, TensorFlow and ONNX inference
Documentation
use super::Downsample;
use crate::internal::*;
use crate::ops;

pub fn pull_downsample_over_slice(
    model: &TypedModel,
    slice_node: &TypedNode,
    slice_op: &ops::array::Slice,
    down_node: &TypedNode,
    down_op: &Downsample,
) -> TractResult<Option<TypedModelPatch>> {
    rule_if!(down_op.axis == slice_op.axis);
    rule_if!(down_op.stride >= 0);
    let modulo = (down_op.modulo + slice_op.start.to_usize()?) % down_op.stride as usize;
    let left = (down_op.modulo + slice_op.start.to_usize()?) / down_op.stride as usize;
    let mut patch = TypedModelPatch::default();
    let tap = patch.tap_model(model, slice_node.inputs[0])?;
    let final_len = down_node.outputs[0].fact.shape[down_op.axis].clone();
    let new_down = Downsample::new(down_op.axis, down_op.stride, modulo);
    let ds = patch.wire_node(&*down_node.name, new_down, [tap].as_ref())?;
    let new_start = left;

    let new_end = final_len + left;
    let op = ops::array::Slice::new(slice_op.axis, new_start.to_dim(), new_end);
    let new_slice = patch.wire_node(&*slice_node.name, op, &ds)?[0];

    patch.shunt_outside(model, OutletId::new(down_node.id, 0), new_slice)?;
    Ok(Some(patch))
}

pub fn pull_downsample_over_axis_op(
    model: &TypedModel,
    axis_node: &TypedNode,
    axis_op: &AxisOp,
    down_node: &TypedNode,
    down_op: &Downsample,
) -> TractResult<Option<TypedModelPatch>> {
    let mut patch = TypedModelPatch::default();
    let tap = patch.tap_model(model, axis_node.inputs[0])?;
    let mut new_down = down_op.clone();
    new_down.axis =
        axis_op.recip().transform_axis(down_op.axis).ok_or_else(|| format_err!("Invalid axis"))?;
    let wire = patch.wire_node(&*down_node.name, new_down, [tap].as_ref())?;
    let wire = patch.wire_node(&*axis_node.name, axis_op.clone(), &wire)?[0];
    patch.shunt_outside(model, OutletId::new(down_node.id, 0), wire)?;
    Ok(Some(patch))
}

#[cfg(test)]
mod tests {
    use super::*;
    use crate::ops;
    use proptest::prelude::*;
    use proptest::test_runner::TestCaseResult;

    fn crop_then_down_strat() -> BoxedStrategy<(usize, usize, usize, usize, usize)> {
        (1usize..5, 1usize..5)
            .prop_flat_map(|(cropped, stride)| {
                (Just(cropped), 0..=cropped, Just(stride), (cropped + 15)..=(cropped + 15))
            })
            .prop_flat_map(|(cropped, left, stride, len)| {
                (Just(len), Just(left), Just(cropped - left), Just(stride), 0..stride)
            })
            .boxed()
    }

    fn crop_then_down(
        len: usize,
        left: usize,
        right: usize,
        stride: usize,
        modulo: usize,
    ) -> TestCaseResult {
        let _ = env_logger::Builder::from_env("TRACT_LOG").try_init();
        let mut model = {
            let mut model = TypedModel::default();
            let input = model.add_source("input", i32::fact([len])).unwrap();
            let crop = model
                .wire_node(
                    "crop",
                    ops::array::Slice::new(0, left.to_dim(), (len - right).to_dim()),
                    &[input],
                )
                .unwrap();
            let down = model
                .wire_node("down", Downsample::new(0, stride as isize, modulo), &crop)
                .unwrap();
            model.select_output_outlets(&down).unwrap();
            model
        };
        trace!("{model:#?}");
        prop_assert!(model.node(model.output_outlets().unwrap()[0].node).op_is::<Downsample>());
        let input = tensor1(&(0i32..len as _).collect::<Vec<_>>());
        let expected =
            SimplePlan::new(model.clone()).unwrap().run(tvec!(input.clone().into())).unwrap();

        info!("Decluttering");
        model.declutter().unwrap();
        trace!("{model:#?}");
        let order = model.eval_order().unwrap();
        prop_assert!(
            model.node(order[1]).op_is::<Downsample>()
                || !model.nodes().iter().any(|n| n.op_is::<Downsample>())
        );
        let found = SimplePlan::new(model).unwrap().run(tvec!(input.into())).unwrap();
        prop_assert_eq!(found, expected);
        Ok(())
    }

    proptest! {
        #[test]
        fn crop_then_down_prop((len, left, right, stride, modulo) in crop_then_down_strat()) {
            crop_then_down(len, left, right, stride, modulo).unwrap()
        }
    }

    #[test]
    fn crop_then_down_1() {
        crop_then_down(1, 0, 0, 2, 0).unwrap()
    }

    #[test]
    fn crop_then_down_2() {
        crop_then_down(2, 0, 1, 2, 0).unwrap()
    }

    #[test]
    fn crop_then_down_5() {
        crop_then_down(16, 0, 1, 2, 1).unwrap()
    }
}