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//! # Power Operation
//!
//! Element-wise power operation (a^b) with multidirectional broadcasting support.
//!
//! **ONNX Spec**: <https://onnx.ai/onnx/operators/onnx__Pow.html>
//!
//! ## Type Constraints
//!
//! T: Numeric tensor types (float16, float32, float64, int32, int64)
//!
//! ## Opset Versions
//! - **Opset 1-6**: Limited broadcast support
//! - **Opset 7-11**: Multidirectional broadcasting, added type support
//! - **Opset 12-14**: Extended type support (bfloat16)
//! - **Opset 15+**: Extended integer type support
use onnx_ir_derive::NodeBuilder;
use crate::ir::{Argument, Node, RawNode};
use crate::processor::{
InputSpec, NodeProcessor, NodeSpec, OutputPreferences, OutputSpec, ProcessError,
same_as_input_broadcast,
};
/// Node representation for Pow operation
#[derive(Debug, Clone, NodeBuilder)]
pub struct PowNode {
pub name: String,
pub inputs: Vec<Argument>,
pub outputs: Vec<Argument>,
}
/// Node processor for power operation
pub(crate) struct PowProcessor;
impl NodeProcessor for PowProcessor {
type Config = ();
fn spec(&self) -> NodeSpec {
NodeSpec {
min_opset: 1,
max_opset: None,
inputs: InputSpec::Exact(2),
outputs: OutputSpec::Exact(1),
}
}
fn infer_types(
&self,
node: &mut RawNode,
_opset: usize,
_output_preferences: &OutputPreferences,
) -> Result<(), ProcessError> {
same_as_input_broadcast(node);
Ok(())
}
fn build_node(&self, builder: RawNode, _opset: usize) -> Node {
Node::Pow(PowNode {
name: builder.name,
inputs: builder.inputs,
outputs: builder.outputs,
})
}
}