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use crate::model::ParsingContext; use crate::tfpb::tensorflow::NodeDef; use tract_hir::internal::*; pub fn gather_v2(_ctx: &ParsingContext, _pb: &NodeDef) -> TractResult<Box<dyn InferenceOp>> { Ok(expand(GatherV2)) } #[derive(Debug, Clone, new, Hash)] pub struct GatherV2; impl_dyn_hash!(GatherV2); impl Expansion for GatherV2 { fn name(&self) -> Cow<str> { "GatherV2".into() } op_tf!(); fn rules<'r, 'p: 'r, 's: 'r>( &'s self, s: &mut Solver<'r>, inputs: &'p [TensorProxy], outputs: &'p [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[1].datum_type, i32::datum_type())?; s.equals(&inputs[2].datum_type, i32::datum_type())?; s.equals(&inputs[2].rank, 0)?; s.given_3( &inputs[0].shape, &inputs[1].shape, &inputs[2].value, move |s, input_shape, indices_shape, axis| { let mut axis = *axis.to_scalar::<i32>()?; if axis < 0 { axis = input_shape.len() as i32 + axis; } let op = tract_hir::ops::array::Gather::new(axis as usize); let output_shape = op.compute_output_shape(&input_shape, &indices_shape)?; s.equals(&outputs[0].shape, output_shape) }, ) } fn wire( &self, prefix: &str, target: &mut TypedModel, inputs: &[OutletId], ) -> TractResult<TVec<OutletId>> { if let Some(axis) = target.outlet_fact(inputs[2])?.konst.as_ref() { let mut axis = *axis.to_scalar::<i32>()?; if axis < 0 { axis = target.outlet_fact(inputs[0])?.rank() as i32 + axis; } let op = tract_hir::ops::array::Gather::new(axis as usize); target.wire_node(&*prefix, op, &inputs[0..2]) } else { bail!("Need to know axis to type GatherV2") } } }