use crate::kernels::array::RotateHalf;
use crate::utils::with_borrowed_metal_stream;
use derive_new::new;
use tract_core::internal::*;
use tract_gpu::tensor::DeviceTensorExt;
#[derive(Clone, Debug, new, Hash)]
pub struct MetalRotateHalf;
impl Op for MetalRotateHalf {
fn name(&self) -> StaticName {
"MetalRotateHalf".into()
}
op_as_typed_op!();
}
impl EvalOp for MetalRotateHalf {
fn is_stateless(&self) -> bool {
true
}
fn eval_with_session(
&self,
node_id: usize,
session: &SessionState,
inputs: TVec<TValue>,
) -> TractResult<TVec<TValue>> {
with_borrowed_metal_stream(|stream| {
let opaque = args_1!(inputs);
let input = opaque.to_device_tensor()?;
let output = tract_gpu::session_handler::make_tensor_for_node(
session,
node_id,
input.datum_type(),
input.shape(),
)?;
RotateHalf.dispatch_eval(stream, input, &output)?;
Ok(tvec!(output.into_opaque_tensor().into_tvalue()))
})
}
}
impl TypedOp for MetalRotateHalf {
fn output_facts(&self, inputs: &[&TypedFact]) -> TractResult<TVec<TypedFact>> {
tract_gpu::utils::facts_to_device_facts(inputs, |facts| {
let dt = facts[0].datum_type;
let fact = dt.fact(facts[0].shape.clone());
Ok(tvec!(fact))
})
.with_context(|| format!("Error while computing facts for {:?}", self.name()))
}
as_op!();
}