tract-hir 0.23.0-dev.4

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

impl InferenceRulesOp for DynSlice {
    fn rules<'r, 'p: 'r, 's: 'r>(
        &'s self,
        s: &mut crate::infer::Solver<'r>,
        inputs: &'p [crate::infer::TensorProxy],
        outputs: &'p [crate::infer::TensorProxy],
    ) -> InferenceResult {
        check_input_arity(inputs, 3)?;
        check_output_arity(outputs, 1)?;
        s.equals(&inputs[0].datum_type, &outputs[0].datum_type)?;
        s.equals(&inputs[0].rank, &outputs[0].rank)?;
        s.equals(&inputs[1].rank, 0)?;
        s.equals(&inputs[2].rank, 0)?;
        s.given(&inputs[0].rank, move |s, rank| {
            for axis in 0..rank as usize {
                if axis == self.axis {
                    s.equals(&outputs[0].shape[axis], self.len.clone())?;
                } else {
                    s.equals(&outputs[0].shape[axis], &inputs[0].shape[axis])?;
                }
            }
            Ok(())
        })?;
        Ok(())
    }

    as_op!();
    to_typed!();
}