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use crate::infer::*; use crate::internal::*; use tract_itertools::Itertools; #[derive(Debug, Clone, new, Hash)] pub struct RmDims { pub axes: Vec<isize>, } impl_dyn_hash!(RmDims); impl RmDims { fn compute_shape<D: DimLike>(&self, input: &[D]) -> TVec<D> { let axes = self .axes .iter() .map(|&a| if a < 0 { a + input.len() as isize } else { a } as usize) .collect::<Vec<_>>(); input .iter() .enumerate() .filter(|(ix, _d)| !axes.contains(ix)) .map(|(_ix, d)| d.clone()) .collect() } } impl Expansion for RmDims { fn name(&self) -> Cow<str> { "RmDims".into() } op_hir!(); fn rules<'r, 'p: 'r, 's: 'r>( &'s self, s: &mut Solver<'r>, inputs: &'p [TensorProxy], outputs: &'p [TensorProxy], ) -> InferenceResult { check_output_arity(&outputs, 1)?; s.equals(&outputs[0].datum_type, &inputs[0].datum_type)?; s.equals(&outputs[0].rank, (&inputs[0].rank).bex() - self.axes.len() as i64)?; s.given(&inputs[0].rank, move |s, rank| { for axis in &self.axes { let axis = if *axis < 0 { axis + rank as isize } else { *axis } as usize; s.equals(&inputs[0].shape[axis], 1.to_dim())?; } Ok(()) })?; s.given(&inputs[0].shape, move |s, shape| { let output_shape = self.compute_shape(&shape); s.equals(&outputs[0].shape, output_shape) }) } fn wire( &self, prefix: &str, target: &mut TypedModel, inputs: &[OutletId], ) -> TractResult<TVec<OutletId>> { let mut wire = inputs[0]; let rank = target.outlet_fact(inputs[0])?.rank(); let axes = self .axes .iter() .map(|&a| if a < 0 { a + rank as isize } else { a } as usize) .sorted() .rev(); for axis in axes { wire = target.wire_node(format!("{}.axis-{}", prefix, axis), AxisOp::Rm(axis), &[wire])? [0]; } Ok(tvec!(wire)) } }