use super::super::{node::GradNode, tape::record_node};
use crate::ml::Parameter;
use crate::{Matrix, Result};
#[allow(clippy::too_many_arguments)]
pub(in crate::ml) fn record_layer_norm(
input: &Matrix,
output: &Matrix,
normalized: Matrix,
inverse_stddev: Matrix,
weight: Parameter,
weight_value: Matrix,
weight_version: u64,
bias: Parameter,
bias_version: u64,
) -> Result<()> {
record_node(GradNode::LayerNorm {
input: input.clone(),
normalized,
inverse_stddev,
output_id: output.value_id(),
weight,
weight_value,
weight_version,
bias,
bias_version,
})
}