tract-onnx 0.23.0-dev.2

Tiny, no-nonsense, self contained, TensorFlow and ONNX inference
Documentation
use tract_hir::internal::*;
use tract_hir::ops::array;

use crate::model::ParsingContext;
use crate::pb::*;

pub fn unsqueeze(
    ctx: &ParsingContext,
    node: &NodeProto,
) -> TractResult<(Box<dyn InferenceOp>, Vec<String>)> {
    if ctx.onnx_operator_set_version < 13 {
        let axes = node.get_attr_vec::<i64>("axes")?.into_iter().map(|x| x as isize).collect();
        Ok((expand(array::AddDims::new(axes)), vec![]))
    } else {
        Ok((expand(Unsqueeze13), vec![]))
    }
}

#[derive(Debug, Clone, Hash)]
struct Unsqueeze13;

impl Expansion for Unsqueeze13 {
    fn name(&self) -> StaticName {
        "Unsqueeze13".into()
    }

    fn rules<'r, 'p: 'r, 's: 'r>(
        &'s self,
        s: &mut Solver<'r>,
        inputs: &'p [TensorProxy],
        outputs: &'p [TensorProxy],
    ) -> InferenceResult {
        check_input_arity(inputs, 2)?;
        check_output_arity(outputs, 1)?;
        s.equals(&outputs[0].datum_type, &inputs[0].datum_type)?;
        s.given_2(&inputs[0].shape, &inputs[1].value, move |s, shape, axes| {
            let axes =
                axes.cast_to::<i64>()?.as_slice::<i64>()?.iter().map(|i| *i as isize).collect();
            let op = tract_hir::ops::array::AddDims::new(axes);
            let out_shape = op.output_shape(&shape);
            s.equals(&outputs[0].shape, out_shape)
        })
    }

    fn wire(
        &self,
        prefix: &str,
        model: &mut TypedModel,
        inputs: &[OutletId],
    ) -> TractResult<TVec<OutletId>> {
        if let Some(axes) = model.outlet_fact(inputs[1])?.konst.as_ref() {
            let axes =
                axes.cast_to::<i64>()?.as_slice::<i64>()?.iter().map(|i| *i as isize).collect();
            let op = tract_hir::ops::array::AddDims::new(axes);
            op.wire(prefix, model, &inputs[0..1])
        } else {
            bail!("Need axes to be a constant")
        }
    }
}