use crate::layers::LayerSpec;
use crate::model_format::{decode_dense_model_v1, DecodedCounts};
use crate::rnn_api::{map_model_error, RnnApiError};
pub fn rnn_unpack_dense_v1(
bytes: &[u8],
layer_specs_out: &mut [LayerSpec],
weights_out: &mut [f32],
biases_out: &mut [f32],
) -> Result<DecodedCounts, RnnApiError> {
decode_dense_model_v1(bytes, layer_specs_out, weights_out, biases_out).map_err(map_model_error)
}