use crate::internal::*;
#[derive(Debug, Clone, new, Default, Hash)]
pub struct MultiBroadcastTo {
pub shape: TVec<TDim>,
}
impl_dyn_hash!(MultiBroadcastTo);
impl MultiBroadcastTo {
pub fn eval_t<T: Datum>(input: &Tensor, shape: &[usize]) -> TractResult<TVec<Arc<Tensor>>> {
let input = input.to_array_view::<T>()?;
let output = input.broadcast(&*shape).ok_or_else(|| format_err!("incompatible shapes"))?;
Ok(tvec![output.to_owned().into_arc_tensor()])
}
}
impl Op for MultiBroadcastTo {
fn name(&self) -> Cow<str> {
"MultiBroadcastTo".into()
}
op_core_mir!();
op_as_typed_op!();
}
impl EvalOp for MultiBroadcastTo {
fn is_stateless(&self) -> bool {
true
}
fn eval(&self, mut inputs: TVec<Arc<Tensor>>) -> TractResult<TVec<Arc<Tensor>>> {
let input = args_1!(inputs);
let dims: Vec<usize> =
self.shape.iter().map(|d| Ok(d.to_usize()?)).collect::<TractResult<_>>()?;
dispatch_datum!(Self::eval_t(input.datum_type())(&*input, &*dims))
}
}
impl TypedOp for MultiBroadcastTo {
fn output_facts(&self, inputs: &[&TypedFact]) -> TractResult<TVec<TypedFact>> {
Ok(tvec!(TypedFact::dt_shape(inputs[0].datum_type, &*self.shape)))
}
fn concretize_dims(
&self,
_source: &TypedModel,
node: &TypedNode,
target: &mut TypedModel,
mapping: &HashMap<OutletId, OutletId>,
values: &SymbolValues,
) -> TractResult<TVec<OutletId>> {
let input = mapping[&node.inputs[0]];
let op = Self { shape: self.shape.iter().map(|d| d.eval(&values)).collect() };
target.wire_node(&node.name, op, &[input])
}
as_op!();
}