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use crate::internal::*;

#[derive(Debug, Clone, new)]
pub struct Cast {
    to: DatumType,
}

impl Cast {
    /// Evaluates the operation given the input tensors.
    fn eval_t<T: Datum>(input: Arc<Tensor>) -> TractResult<Arc<Tensor>> {
        Ok(input.cast_to::<T>()?.into_owned().into_arc_tensor())
    }
}

impl Op for Cast {
    fn name(&self) -> Cow<str> {
        "Cast".into()
    }

    op_as_typed_op!();
}

impl StatelessOp for Cast {
    /// Evaluates the operation given the input tensors.
    fn eval(&self, mut inputs: TVec<Arc<Tensor>>) -> TractResult<TVec<Arc<Tensor>>> {
        let input = args_1!(inputs);
        let output = dispatch_datum!(Self::eval_t(self.to)(input))?;
        Ok(tvec!(output))
    }
}

impl InferenceRulesOp for Cast {
    fn rules<'r, 'p: 'r, 's: 'r>(
        &'s self,
        s: &mut Solver<'r>,
        inputs: &'p [TensorProxy],
        outputs: &'p [TensorProxy],
    ) -> InferenceResult {
        check_input_arity(&inputs, 1)?;
        check_output_arity(&outputs, 1)?;
        s.equals(&outputs[0].datum_type, self.to)?;
        s.equals(&inputs[0].shape, &outputs[0].shape)?;
        Ok(())
    }

    inference_op_as_op!();
    to_typed!();
}

impl TypedOp for Cast {
    typed_op_as_op!();

    fn output_facts(&self, inputs: &[&TypedTensorInfo]) -> TractResult<TVec<TypedTensorInfo>> {
        Ok(tvec!(TypedTensorInfo::dt_shape(self.to, inputs[0].shape.clone())?))
    }
}