opus1 0.3.0

//! NoLACE, the speech enhancer of SILK at decoder complexity 7 and above: its
//! layers and the constants of its C header.
//!
//! Generated by `tools/dnn-gen` from libopus 1.6.1 `dnn/nolace_data.h` and
//! `dnn/nolace_data.c` (`init_nolacelayers`). Do not edit: change the generator
//! and run it again (`tools/dnn-gen/README.md`).

// The float constants keep every digit of the C header.
#![allow(clippy::excessive_precision)]

use crate::Error;
use super::{Layer, LayerSpec, LinearSpec};
use crate::dnn::nnet::LinearLayer;
use crate::dnn::weights::WeightList;

/// The file of this model's weights in `dnn-weights/`.
pub const BLOB_FILE: &str = "nolace.bin";

// The constants of `dnn/nolace_data.h`, in the same order.

/// `NOLACE_PREEMPH`, `0.85f` in C.
pub const NOLACE_PREEMPH: f32 = 0.85;

/// `NOLACE_FRAME_SIZE`.
pub const NOLACE_FRAME_SIZE: usize = 80;

/// `NOLACE_OVERLAP_SIZE`.
pub const NOLACE_OVERLAP_SIZE: usize = 40;

/// `NOLACE_NUM_FEATURES`.
pub const NOLACE_NUM_FEATURES: usize = 93;

/// `NOLACE_PITCH_MAX`.
pub const NOLACE_PITCH_MAX: usize = 300;

/// `NOLACE_PITCH_EMBEDDING_DIM`.
pub const NOLACE_PITCH_EMBEDDING_DIM: usize = 64;

/// `NOLACE_NUMBITS_RANGE_LOW`.
pub const NOLACE_NUMBITS_RANGE_LOW: usize = 50;

/// `NOLACE_NUMBITS_RANGE_HIGH`.
pub const NOLACE_NUMBITS_RANGE_HIGH: usize = 650;

/// `NOLACE_NUMBITS_EMBEDDING_DIM`.
pub const NOLACE_NUMBITS_EMBEDDING_DIM: usize = 8;

/// `NOLACE_COND_DIM`.
pub const NOLACE_COND_DIM: usize = 160;

/// `NOLACE_HIDDEN_FEATURE_DIM`.
pub const NOLACE_HIDDEN_FEATURE_DIM: usize = 96;

/// `NOLACE_NUMBITS_SCALE_0`, `1.0357311964035034f` in C.
pub const NOLACE_NUMBITS_SCALE_0: f32 = 1.0357311964035034;

/// `NOLACE_NUMBITS_SCALE_1`, `1.735559105873108f` in C.
pub const NOLACE_NUMBITS_SCALE_1: f32 = 1.735559105873108;

/// `NOLACE_NUMBITS_SCALE_2`, `3.6004557609558105f` in C.
pub const NOLACE_NUMBITS_SCALE_2: f32 = 3.6004557609558105;

/// `NOLACE_NUMBITS_SCALE_3`, `4.552478313446045f` in C.
pub const NOLACE_NUMBITS_SCALE_3: f32 = 4.552478313446045;

/// `NOLACE_NUMBITS_SCALE_4`, `5.932559490203857f` in C.
pub const NOLACE_NUMBITS_SCALE_4: f32 = 5.932559490203857;

/// `NOLACE_NUMBITS_SCALE_5`, `7.176970481872559f` in C.
pub const NOLACE_NUMBITS_SCALE_5: f32 = 7.176970481872559;

/// `NOLACE_NUMBITS_SCALE_6`, `8.114998817443848f` in C.
pub const NOLACE_NUMBITS_SCALE_6: f32 = 8.114998817443848;

/// `NOLACE_NUMBITS_SCALE_7`, `8.77063274383545f` in C.
pub const NOLACE_NUMBITS_SCALE_7: f32 = 8.77063274383545;

/// `NOLACE_PITCH_EMBEDDING_OUT_SIZE`.
pub const NOLACE_PITCH_EMBEDDING_OUT_SIZE: usize = 64;

/// `NOLACE_FNET_CONV1_OUT_SIZE`.
pub const NOLACE_FNET_CONV1_OUT_SIZE: usize = 96;

/// `NOLACE_FNET_CONV1_IN_SIZE`.
pub const NOLACE_FNET_CONV1_IN_SIZE: usize = 173;

/// `NOLACE_FNET_CONV1_STATE_SIZE`, `(173 * (0))` in C.
pub const NOLACE_FNET_CONV1_STATE_SIZE: usize = 0;

/// `NOLACE_FNET_CONV1_DELAY`.
pub const NOLACE_FNET_CONV1_DELAY: usize = 0;

/// `NOLACE_FNET_CONV2_OUT_SIZE`.
pub const NOLACE_FNET_CONV2_OUT_SIZE: usize = 160;

/// `NOLACE_FNET_CONV2_IN_SIZE`.
pub const NOLACE_FNET_CONV2_IN_SIZE: usize = 384;

/// `NOLACE_FNET_CONV2_STATE_SIZE`, `(384 * (1))` in C.
pub const NOLACE_FNET_CONV2_STATE_SIZE: usize = 384;

/// `NOLACE_FNET_CONV2_DELAY`.
pub const NOLACE_FNET_CONV2_DELAY: usize = 0;

/// `NOLACE_FNET_TCONV_KERNEL_SIZE`.
pub const NOLACE_FNET_TCONV_KERNEL_SIZE: usize = 4;

/// `NOLACE_FNET_TCONV_STRIDE`.
pub const NOLACE_FNET_TCONV_STRIDE: usize = 4;

/// `NOLACE_FNET_TCONV_IN_CHANNELS`.
pub const NOLACE_FNET_TCONV_IN_CHANNELS: usize = 160;

/// `NOLACE_FNET_TCONV_OUT_CHANNELS`.
pub const NOLACE_FNET_TCONV_OUT_CHANNELS: usize = 160;

/// `NOLACE_FNET_GRU_OUT_SIZE`.
pub const NOLACE_FNET_GRU_OUT_SIZE: usize = 160;

/// `NOLACE_FNET_GRU_STATE_SIZE`.
pub const NOLACE_FNET_GRU_STATE_SIZE: usize = 160;

/// `NOLACE_CF1_FILTER_GAIN_A`, `0.690776f` in C.
pub const NOLACE_CF1_FILTER_GAIN_A: f32 = 0.690776;

/// `NOLACE_CF1_FILTER_GAIN_B`, `0.000000f` in C.
pub const NOLACE_CF1_FILTER_GAIN_B: f32 = 0.000000;

/// `NOLACE_CF1_LOG_GAIN_LIMIT`, `1.151293f` in C.
pub const NOLACE_CF1_LOG_GAIN_LIMIT: f32 = 1.151293;

/// `NOLACE_CF1_KERNEL_SIZE`.
pub const NOLACE_CF1_KERNEL_SIZE: usize = 16;

/// `NOLACE_CF1_LEFT_PADDING`.
pub const NOLACE_CF1_LEFT_PADDING: usize = 8;

/// `NOLACE_CF1_FRAME_SIZE`.
pub const NOLACE_CF1_FRAME_SIZE: usize = 80;

/// `NOLACE_CF1_OVERLAP_SIZE`.
pub const NOLACE_CF1_OVERLAP_SIZE: usize = 40;

/// `NOLACE_CF1_IN_CHANNELS`.
pub const NOLACE_CF1_IN_CHANNELS: usize = 1;

/// `NOLACE_CF1_OUT_CHANNELS`.
pub const NOLACE_CF1_OUT_CHANNELS: usize = 1;

/// `NOLACE_CF1_NORM_P`.
pub const NOLACE_CF1_NORM_P: usize = 2;

/// `NOLACE_CF1_FEATURE_DIM`.
pub const NOLACE_CF1_FEATURE_DIM: usize = 160;

/// `NOLACE_CF1_MAX_LAG`.
pub const NOLACE_CF1_MAX_LAG: usize = 301;

/// `NOLACE_CF1_KERNEL_OUT_SIZE`.
pub const NOLACE_CF1_KERNEL_OUT_SIZE: usize = 16;

/// `NOLACE_CF1_GAIN_OUT_SIZE`.
pub const NOLACE_CF1_GAIN_OUT_SIZE: usize = 1;

/// `NOLACE_CF1_GLOBAL_GAIN_OUT_SIZE`.
pub const NOLACE_CF1_GLOBAL_GAIN_OUT_SIZE: usize = 1;

/// `NOLACE_CF2_FILTER_GAIN_A`, `0.690776f` in C.
pub const NOLACE_CF2_FILTER_GAIN_A: f32 = 0.690776;

/// `NOLACE_CF2_FILTER_GAIN_B`, `0.000000f` in C.
pub const NOLACE_CF2_FILTER_GAIN_B: f32 = 0.000000;

/// `NOLACE_CF2_LOG_GAIN_LIMIT`, `1.151293f` in C.
pub const NOLACE_CF2_LOG_GAIN_LIMIT: f32 = 1.151293;

/// `NOLACE_CF2_KERNEL_SIZE`.
pub const NOLACE_CF2_KERNEL_SIZE: usize = 16;

/// `NOLACE_CF2_LEFT_PADDING`.
pub const NOLACE_CF2_LEFT_PADDING: usize = 8;

/// `NOLACE_CF2_FRAME_SIZE`.
pub const NOLACE_CF2_FRAME_SIZE: usize = 80;

/// `NOLACE_CF2_OVERLAP_SIZE`.
pub const NOLACE_CF2_OVERLAP_SIZE: usize = 40;

/// `NOLACE_CF2_IN_CHANNELS`.
pub const NOLACE_CF2_IN_CHANNELS: usize = 1;

/// `NOLACE_CF2_OUT_CHANNELS`.
pub const NOLACE_CF2_OUT_CHANNELS: usize = 1;

/// `NOLACE_CF2_NORM_P`.
pub const NOLACE_CF2_NORM_P: usize = 2;

/// `NOLACE_CF2_FEATURE_DIM`.
pub const NOLACE_CF2_FEATURE_DIM: usize = 160;

/// `NOLACE_CF2_MAX_LAG`.
pub const NOLACE_CF2_MAX_LAG: usize = 301;

/// `NOLACE_CF2_KERNEL_OUT_SIZE`.
pub const NOLACE_CF2_KERNEL_OUT_SIZE: usize = 16;

/// `NOLACE_CF2_GAIN_OUT_SIZE`.
pub const NOLACE_CF2_GAIN_OUT_SIZE: usize = 1;

/// `NOLACE_CF2_GLOBAL_GAIN_OUT_SIZE`.
pub const NOLACE_CF2_GLOBAL_GAIN_OUT_SIZE: usize = 1;

/// `NOLACE_AF1_FILTER_GAIN_A`, `1.381551f` in C.
pub const NOLACE_AF1_FILTER_GAIN_A: f32 = 1.381551;

/// `NOLACE_AF1_FILTER_GAIN_B`, `0.000000f` in C.
pub const NOLACE_AF1_FILTER_GAIN_B: f32 = 0.000000;

/// `NOLACE_AF1_SHAPE_GAIN`, `1.000000f` in C.
pub const NOLACE_AF1_SHAPE_GAIN: f32 = 1.000000;

/// `NOLACE_AF1_KERNEL_SIZE`.
pub const NOLACE_AF1_KERNEL_SIZE: usize = 16;

/// `NOLACE_AF1_FRAME_SIZE`.
pub const NOLACE_AF1_FRAME_SIZE: usize = 80;

/// `NOLACE_AF1_LEFT_PADDING`.
pub const NOLACE_AF1_LEFT_PADDING: usize = 15;

/// `NOLACE_AF1_OVERLAP_SIZE`.
pub const NOLACE_AF1_OVERLAP_SIZE: usize = 40;

/// `NOLACE_AF1_IN_CHANNELS`.
pub const NOLACE_AF1_IN_CHANNELS: usize = 1;

/// `NOLACE_AF1_OUT_CHANNELS`.
pub const NOLACE_AF1_OUT_CHANNELS: usize = 2;

/// `NOLACE_AF1_NORM_P`.
pub const NOLACE_AF1_NORM_P: usize = 2;

/// `NOLACE_AF1_FEATURE_DIM`.
pub const NOLACE_AF1_FEATURE_DIM: usize = 160;

/// `NOLACE_AF1_KERNEL_OUT_SIZE`.
pub const NOLACE_AF1_KERNEL_OUT_SIZE: usize = 32;

/// `NOLACE_AF1_GAIN_OUT_SIZE`.
pub const NOLACE_AF1_GAIN_OUT_SIZE: usize = 2;

/// `NOLACE_TDSHAPE1_FEATURE_DIM`.
pub const NOLACE_TDSHAPE1_FEATURE_DIM: usize = 160;

/// `NOLACE_TDSHAPE1_FRAME_SIZE`.
pub const NOLACE_TDSHAPE1_FRAME_SIZE: usize = 80;

/// `NOLACE_TDSHAPE1_AVG_POOL_K`.
pub const NOLACE_TDSHAPE1_AVG_POOL_K: usize = 4;

/// `NOLACE_TDSHAPE1_INNOVATE`.
pub const NOLACE_TDSHAPE1_INNOVATE: usize = 0;

/// `NOLACE_TDSHAPE1_POOL_AFTER`.
pub const NOLACE_TDSHAPE1_POOL_AFTER: usize = 0;

/// `NOLACE_TDSHAPE1_ALPHA1_F_OUT_SIZE`.
pub const NOLACE_TDSHAPE1_ALPHA1_F_OUT_SIZE: usize = 80;

/// `NOLACE_TDSHAPE1_ALPHA1_F_IN_SIZE`.
pub const NOLACE_TDSHAPE1_ALPHA1_F_IN_SIZE: usize = 160;

/// `NOLACE_TDSHAPE1_ALPHA1_F_STATE_SIZE`, `(160 * (1))` in C.
pub const NOLACE_TDSHAPE1_ALPHA1_F_STATE_SIZE: usize = 160;

/// `NOLACE_TDSHAPE1_ALPHA1_F_DELAY`.
pub const NOLACE_TDSHAPE1_ALPHA1_F_DELAY: usize = 0;

/// `NOLACE_TDSHAPE1_ALPHA1_T_OUT_SIZE`.
pub const NOLACE_TDSHAPE1_ALPHA1_T_OUT_SIZE: usize = 80;

/// `NOLACE_TDSHAPE1_ALPHA1_T_IN_SIZE`.
pub const NOLACE_TDSHAPE1_ALPHA1_T_IN_SIZE: usize = 21;

/// `NOLACE_TDSHAPE1_ALPHA1_T_STATE_SIZE`, `(21 * (1))` in C.
pub const NOLACE_TDSHAPE1_ALPHA1_T_STATE_SIZE: usize = 21;

/// `NOLACE_TDSHAPE1_ALPHA1_T_DELAY`.
pub const NOLACE_TDSHAPE1_ALPHA1_T_DELAY: usize = 0;

/// `NOLACE_TDSHAPE1_ALPHA2_OUT_SIZE`.
pub const NOLACE_TDSHAPE1_ALPHA2_OUT_SIZE: usize = 80;

/// `NOLACE_TDSHAPE1_ALPHA2_IN_SIZE`.
pub const NOLACE_TDSHAPE1_ALPHA2_IN_SIZE: usize = 80;

/// `NOLACE_TDSHAPE1_ALPHA2_STATE_SIZE`, `(80 * (1))` in C.
pub const NOLACE_TDSHAPE1_ALPHA2_STATE_SIZE: usize = 80;

/// `NOLACE_TDSHAPE1_ALPHA2_DELAY`.
pub const NOLACE_TDSHAPE1_ALPHA2_DELAY: usize = 0;

/// `NOLACE_TDSHAPE2_FEATURE_DIM`.
pub const NOLACE_TDSHAPE2_FEATURE_DIM: usize = 160;

/// `NOLACE_TDSHAPE2_FRAME_SIZE`.
pub const NOLACE_TDSHAPE2_FRAME_SIZE: usize = 80;

/// `NOLACE_TDSHAPE2_AVG_POOL_K`.
pub const NOLACE_TDSHAPE2_AVG_POOL_K: usize = 4;

/// `NOLACE_TDSHAPE2_INNOVATE`.
pub const NOLACE_TDSHAPE2_INNOVATE: usize = 0;

/// `NOLACE_TDSHAPE2_POOL_AFTER`.
pub const NOLACE_TDSHAPE2_POOL_AFTER: usize = 0;

/// `NOLACE_TDSHAPE2_ALPHA1_F_OUT_SIZE`.
pub const NOLACE_TDSHAPE2_ALPHA1_F_OUT_SIZE: usize = 80;

/// `NOLACE_TDSHAPE2_ALPHA1_F_IN_SIZE`.
pub const NOLACE_TDSHAPE2_ALPHA1_F_IN_SIZE: usize = 160;

/// `NOLACE_TDSHAPE2_ALPHA1_F_STATE_SIZE`, `(160 * (1))` in C.
pub const NOLACE_TDSHAPE2_ALPHA1_F_STATE_SIZE: usize = 160;

/// `NOLACE_TDSHAPE2_ALPHA1_F_DELAY`.
pub const NOLACE_TDSHAPE2_ALPHA1_F_DELAY: usize = 0;

/// `NOLACE_TDSHAPE2_ALPHA1_T_OUT_SIZE`.
pub const NOLACE_TDSHAPE2_ALPHA1_T_OUT_SIZE: usize = 80;

/// `NOLACE_TDSHAPE2_ALPHA1_T_IN_SIZE`.
pub const NOLACE_TDSHAPE2_ALPHA1_T_IN_SIZE: usize = 21;

/// `NOLACE_TDSHAPE2_ALPHA1_T_STATE_SIZE`, `(21 * (1))` in C.
pub const NOLACE_TDSHAPE2_ALPHA1_T_STATE_SIZE: usize = 21;

/// `NOLACE_TDSHAPE2_ALPHA1_T_DELAY`.
pub const NOLACE_TDSHAPE2_ALPHA1_T_DELAY: usize = 0;

/// `NOLACE_TDSHAPE2_ALPHA2_OUT_SIZE`.
pub const NOLACE_TDSHAPE2_ALPHA2_OUT_SIZE: usize = 80;

/// `NOLACE_TDSHAPE2_ALPHA2_IN_SIZE`.
pub const NOLACE_TDSHAPE2_ALPHA2_IN_SIZE: usize = 80;

/// `NOLACE_TDSHAPE2_ALPHA2_STATE_SIZE`, `(80 * (1))` in C.
pub const NOLACE_TDSHAPE2_ALPHA2_STATE_SIZE: usize = 80;

/// `NOLACE_TDSHAPE2_ALPHA2_DELAY`.
pub const NOLACE_TDSHAPE2_ALPHA2_DELAY: usize = 0;

/// `NOLACE_TDSHAPE3_FEATURE_DIM`.
pub const NOLACE_TDSHAPE3_FEATURE_DIM: usize = 160;

/// `NOLACE_TDSHAPE3_FRAME_SIZE`.
pub const NOLACE_TDSHAPE3_FRAME_SIZE: usize = 80;

/// `NOLACE_TDSHAPE3_AVG_POOL_K`.
pub const NOLACE_TDSHAPE3_AVG_POOL_K: usize = 4;

/// `NOLACE_TDSHAPE3_INNOVATE`.
pub const NOLACE_TDSHAPE3_INNOVATE: usize = 0;

/// `NOLACE_TDSHAPE3_POOL_AFTER`.
pub const NOLACE_TDSHAPE3_POOL_AFTER: usize = 0;

/// `NOLACE_TDSHAPE3_ALPHA1_F_OUT_SIZE`.
pub const NOLACE_TDSHAPE3_ALPHA1_F_OUT_SIZE: usize = 80;

/// `NOLACE_TDSHAPE3_ALPHA1_F_IN_SIZE`.
pub const NOLACE_TDSHAPE3_ALPHA1_F_IN_SIZE: usize = 160;

/// `NOLACE_TDSHAPE3_ALPHA1_F_STATE_SIZE`, `(160 * (1))` in C.
pub const NOLACE_TDSHAPE3_ALPHA1_F_STATE_SIZE: usize = 160;

/// `NOLACE_TDSHAPE3_ALPHA1_F_DELAY`.
pub const NOLACE_TDSHAPE3_ALPHA1_F_DELAY: usize = 0;

/// `NOLACE_TDSHAPE3_ALPHA1_T_OUT_SIZE`.
pub const NOLACE_TDSHAPE3_ALPHA1_T_OUT_SIZE: usize = 80;

/// `NOLACE_TDSHAPE3_ALPHA1_T_IN_SIZE`.
pub const NOLACE_TDSHAPE3_ALPHA1_T_IN_SIZE: usize = 21;

/// `NOLACE_TDSHAPE3_ALPHA1_T_STATE_SIZE`, `(21 * (1))` in C.
pub const NOLACE_TDSHAPE3_ALPHA1_T_STATE_SIZE: usize = 21;

/// `NOLACE_TDSHAPE3_ALPHA1_T_DELAY`.
pub const NOLACE_TDSHAPE3_ALPHA1_T_DELAY: usize = 0;

/// `NOLACE_TDSHAPE3_ALPHA2_OUT_SIZE`.
pub const NOLACE_TDSHAPE3_ALPHA2_OUT_SIZE: usize = 80;

/// `NOLACE_TDSHAPE3_ALPHA2_IN_SIZE`.
pub const NOLACE_TDSHAPE3_ALPHA2_IN_SIZE: usize = 80;

/// `NOLACE_TDSHAPE3_ALPHA2_STATE_SIZE`, `(80 * (1))` in C.
pub const NOLACE_TDSHAPE3_ALPHA2_STATE_SIZE: usize = 80;

/// `NOLACE_TDSHAPE3_ALPHA2_DELAY`.
pub const NOLACE_TDSHAPE3_ALPHA2_DELAY: usize = 0;

/// `NOLACE_AF2_FILTER_GAIN_A`, `1.381551f` in C.
pub const NOLACE_AF2_FILTER_GAIN_A: f32 = 1.381551;

/// `NOLACE_AF2_FILTER_GAIN_B`, `0.000000f` in C.
pub const NOLACE_AF2_FILTER_GAIN_B: f32 = 0.000000;

/// `NOLACE_AF2_SHAPE_GAIN`, `1.000000f` in C.
pub const NOLACE_AF2_SHAPE_GAIN: f32 = 1.000000;

/// `NOLACE_AF2_KERNEL_SIZE`.
pub const NOLACE_AF2_KERNEL_SIZE: usize = 16;

/// `NOLACE_AF2_FRAME_SIZE`.
pub const NOLACE_AF2_FRAME_SIZE: usize = 80;

/// `NOLACE_AF2_LEFT_PADDING`.
pub const NOLACE_AF2_LEFT_PADDING: usize = 15;

/// `NOLACE_AF2_OVERLAP_SIZE`.
pub const NOLACE_AF2_OVERLAP_SIZE: usize = 40;

/// `NOLACE_AF2_IN_CHANNELS`.
pub const NOLACE_AF2_IN_CHANNELS: usize = 2;

/// `NOLACE_AF2_OUT_CHANNELS`.
pub const NOLACE_AF2_OUT_CHANNELS: usize = 2;

/// `NOLACE_AF2_NORM_P`.
pub const NOLACE_AF2_NORM_P: usize = 2;

/// `NOLACE_AF2_FEATURE_DIM`.
pub const NOLACE_AF2_FEATURE_DIM: usize = 160;

/// `NOLACE_AF2_KERNEL_OUT_SIZE`.
pub const NOLACE_AF2_KERNEL_OUT_SIZE: usize = 64;

/// `NOLACE_AF2_GAIN_OUT_SIZE`.
pub const NOLACE_AF2_GAIN_OUT_SIZE: usize = 2;

/// `NOLACE_AF3_FILTER_GAIN_A`, `1.381551f` in C.
pub const NOLACE_AF3_FILTER_GAIN_A: f32 = 1.381551;

/// `NOLACE_AF3_FILTER_GAIN_B`, `0.000000f` in C.
pub const NOLACE_AF3_FILTER_GAIN_B: f32 = 0.000000;

/// `NOLACE_AF3_SHAPE_GAIN`, `1.000000f` in C.
pub const NOLACE_AF3_SHAPE_GAIN: f32 = 1.000000;

/// `NOLACE_AF3_KERNEL_SIZE`.
pub const NOLACE_AF3_KERNEL_SIZE: usize = 16;

/// `NOLACE_AF3_FRAME_SIZE`.
pub const NOLACE_AF3_FRAME_SIZE: usize = 80;

/// `NOLACE_AF3_LEFT_PADDING`.
pub const NOLACE_AF3_LEFT_PADDING: usize = 15;

/// `NOLACE_AF3_OVERLAP_SIZE`.
pub const NOLACE_AF3_OVERLAP_SIZE: usize = 40;

/// `NOLACE_AF3_IN_CHANNELS`.
pub const NOLACE_AF3_IN_CHANNELS: usize = 2;

/// `NOLACE_AF3_OUT_CHANNELS`.
pub const NOLACE_AF3_OUT_CHANNELS: usize = 2;

/// `NOLACE_AF3_NORM_P`.
pub const NOLACE_AF3_NORM_P: usize = 2;

/// `NOLACE_AF3_FEATURE_DIM`.
pub const NOLACE_AF3_FEATURE_DIM: usize = 160;

/// `NOLACE_AF3_KERNEL_OUT_SIZE`.
pub const NOLACE_AF3_KERNEL_OUT_SIZE: usize = 64;

/// `NOLACE_AF3_GAIN_OUT_SIZE`.
pub const NOLACE_AF3_GAIN_OUT_SIZE: usize = 2;

/// `NOLACE_AF4_FILTER_GAIN_A`, `1.381551f` in C.
pub const NOLACE_AF4_FILTER_GAIN_A: f32 = 1.381551;

/// `NOLACE_AF4_FILTER_GAIN_B`, `0.000000f` in C.
pub const NOLACE_AF4_FILTER_GAIN_B: f32 = 0.000000;

/// `NOLACE_AF4_SHAPE_GAIN`, `1.000000f` in C.
pub const NOLACE_AF4_SHAPE_GAIN: f32 = 1.000000;

/// `NOLACE_AF4_KERNEL_SIZE`.
pub const NOLACE_AF4_KERNEL_SIZE: usize = 16;

/// `NOLACE_AF4_FRAME_SIZE`.
pub const NOLACE_AF4_FRAME_SIZE: usize = 80;

/// `NOLACE_AF4_LEFT_PADDING`.
pub const NOLACE_AF4_LEFT_PADDING: usize = 15;

/// `NOLACE_AF4_OVERLAP_SIZE`.
pub const NOLACE_AF4_OVERLAP_SIZE: usize = 40;

/// `NOLACE_AF4_IN_CHANNELS`.
pub const NOLACE_AF4_IN_CHANNELS: usize = 2;

/// `NOLACE_AF4_OUT_CHANNELS`.
pub const NOLACE_AF4_OUT_CHANNELS: usize = 1;

/// `NOLACE_AF4_NORM_P`.
pub const NOLACE_AF4_NORM_P: usize = 2;

/// `NOLACE_AF4_FEATURE_DIM`.
pub const NOLACE_AF4_FEATURE_DIM: usize = 160;

/// `NOLACE_AF4_KERNEL_OUT_SIZE`.
pub const NOLACE_AF4_KERNEL_OUT_SIZE: usize = 32;

/// `NOLACE_AF4_GAIN_OUT_SIZE`.
pub const NOLACE_AF4_GAIN_OUT_SIZE: usize = 1;

/// `NOLACE_POST_CF1_OUT_SIZE`.
pub const NOLACE_POST_CF1_OUT_SIZE: usize = 160;

/// `NOLACE_POST_CF1_IN_SIZE`.
pub const NOLACE_POST_CF1_IN_SIZE: usize = 160;

/// `NOLACE_POST_CF1_STATE_SIZE`, `(160 * (1))` in C.
pub const NOLACE_POST_CF1_STATE_SIZE: usize = 160;

/// `NOLACE_POST_CF1_DELAY`.
pub const NOLACE_POST_CF1_DELAY: usize = 0;

/// `NOLACE_POST_CF2_OUT_SIZE`.
pub const NOLACE_POST_CF2_OUT_SIZE: usize = 160;

/// `NOLACE_POST_CF2_IN_SIZE`.
pub const NOLACE_POST_CF2_IN_SIZE: usize = 160;

/// `NOLACE_POST_CF2_STATE_SIZE`, `(160 * (1))` in C.
pub const NOLACE_POST_CF2_STATE_SIZE: usize = 160;

/// `NOLACE_POST_CF2_DELAY`.
pub const NOLACE_POST_CF2_DELAY: usize = 0;

/// `NOLACE_POST_AF1_OUT_SIZE`.
pub const NOLACE_POST_AF1_OUT_SIZE: usize = 160;

/// `NOLACE_POST_AF1_IN_SIZE`.
pub const NOLACE_POST_AF1_IN_SIZE: usize = 160;

/// `NOLACE_POST_AF1_STATE_SIZE`, `(160 * (1))` in C.
pub const NOLACE_POST_AF1_STATE_SIZE: usize = 160;

/// `NOLACE_POST_AF1_DELAY`.
pub const NOLACE_POST_AF1_DELAY: usize = 0;

/// `NOLACE_POST_AF2_OUT_SIZE`.
pub const NOLACE_POST_AF2_OUT_SIZE: usize = 160;

/// `NOLACE_POST_AF2_IN_SIZE`.
pub const NOLACE_POST_AF2_IN_SIZE: usize = 160;

/// `NOLACE_POST_AF2_STATE_SIZE`, `(160 * (1))` in C.
pub const NOLACE_POST_AF2_STATE_SIZE: usize = 160;

/// `NOLACE_POST_AF2_DELAY`.
pub const NOLACE_POST_AF2_DELAY: usize = 0;

/// `NOLACE_POST_AF3_OUT_SIZE`.
pub const NOLACE_POST_AF3_OUT_SIZE: usize = 160;

/// `NOLACE_POST_AF3_IN_SIZE`.
pub const NOLACE_POST_AF3_IN_SIZE: usize = 160;

/// `NOLACE_POST_AF3_STATE_SIZE`, `(160 * (1))` in C.
pub const NOLACE_POST_AF3_STATE_SIZE: usize = 160;

/// `NOLACE_POST_AF3_DELAY`.
pub const NOLACE_POST_AF3_DELAY: usize = 0;

/// The layers in the order of `init_nolacelayers`: the arrays that each one
/// reads, and its shape. The names are the array names of the blob.
pub const LAYERS: [LayerSpec; 34] = [
    LayerSpec::Linear(LinearSpec {
        name: "nolace_pitch_embedding",
        bias: Some("nolace_pitch_embedding_bias"),
        subias: None,
        weights: None,
        float_weights: Some("nolace_pitch_embedding_weights_float"),
        weights_idx: None,
        diag: None,
        scale: None,
        nb_inputs: 301,
        nb_outputs: 64,
    }),
    LayerSpec::Linear(LinearSpec {
        name: "nolace_fnet_conv1",
        bias: Some("nolace_fnet_conv1_bias"),
        subias: None,
        weights: None,
        float_weights: Some("nolace_fnet_conv1_weights_float"),
        weights_idx: None,
        diag: None,
        scale: None,
        nb_inputs: 173,
        nb_outputs: 96,
    }),
    LayerSpec::Linear(LinearSpec {
        name: "nolace_fnet_conv2",
        bias: Some("nolace_fnet_conv2_bias"),
        subias: Some("nolace_fnet_conv2_subias"),
        weights: Some("nolace_fnet_conv2_weights_int8"),
        float_weights: Some("nolace_fnet_conv2_weights_float"),
        weights_idx: None,
        diag: None,
        scale: Some("nolace_fnet_conv2_scale"),
        nb_inputs: 768,
        nb_outputs: 160,
    }),
    LayerSpec::Linear(LinearSpec {
        name: "nolace_fnet_tconv",
        bias: Some("nolace_fnet_tconv_bias"),
        subias: Some("nolace_fnet_tconv_subias"),
        weights: Some("nolace_fnet_tconv_weights_int8"),
        float_weights: Some("nolace_fnet_tconv_weights_float"),
        weights_idx: None,
        diag: None,
        scale: Some("nolace_fnet_tconv_scale"),
        nb_inputs: 160,
        nb_outputs: 640,
    }),
    LayerSpec::Linear(LinearSpec {
        name: "nolace_fnet_gru_input",
        bias: Some("nolace_fnet_gru_input_bias"),
        subias: Some("nolace_fnet_gru_input_subias"),
        weights: Some("nolace_fnet_gru_input_weights_int8"),
        float_weights: Some("nolace_fnet_gru_input_weights_float"),
        weights_idx: None,
        diag: None,
        scale: Some("nolace_fnet_gru_input_scale"),
        nb_inputs: 160,
        nb_outputs: 480,
    }),
    LayerSpec::Linear(LinearSpec {
        name: "nolace_fnet_gru_recurrent",
        bias: Some("nolace_fnet_gru_recurrent_bias"),
        subias: Some("nolace_fnet_gru_recurrent_subias"),
        weights: Some("nolace_fnet_gru_recurrent_weights_int8"),
        float_weights: Some("nolace_fnet_gru_recurrent_weights_float"),
        weights_idx: None,
        diag: None,
        scale: Some("nolace_fnet_gru_recurrent_scale"),
        nb_inputs: 160,
        nb_outputs: 480,
    }),
    LayerSpec::Linear(LinearSpec {
        name: "nolace_cf1_kernel",
        bias: Some("nolace_cf1_kernel_bias"),
        subias: Some("nolace_cf1_kernel_subias"),
        weights: Some("nolace_cf1_kernel_weights_int8"),
        float_weights: Some("nolace_cf1_kernel_weights_float"),
        weights_idx: None,
        diag: None,
        scale: Some("nolace_cf1_kernel_scale"),
        nb_inputs: 160,
        nb_outputs: 16,
    }),
    LayerSpec::Linear(LinearSpec {
        name: "nolace_cf1_gain",
        bias: Some("nolace_cf1_gain_bias"),
        subias: None,
        weights: None,
        float_weights: Some("nolace_cf1_gain_weights_float"),
        weights_idx: None,
        diag: None,
        scale: None,
        nb_inputs: 160,
        nb_outputs: 1,
    }),
    LayerSpec::Linear(LinearSpec {
        name: "nolace_cf1_global_gain",
        bias: Some("nolace_cf1_global_gain_bias"),
        subias: None,
        weights: None,
        float_weights: Some("nolace_cf1_global_gain_weights_float"),
        weights_idx: None,
        diag: None,
        scale: None,
        nb_inputs: 160,
        nb_outputs: 1,
    }),
    LayerSpec::Linear(LinearSpec {
        name: "nolace_cf2_kernel",
        bias: Some("nolace_cf2_kernel_bias"),
        subias: Some("nolace_cf2_kernel_subias"),
        weights: Some("nolace_cf2_kernel_weights_int8"),
        float_weights: Some("nolace_cf2_kernel_weights_float"),
        weights_idx: None,
        diag: None,
        scale: Some("nolace_cf2_kernel_scale"),
        nb_inputs: 160,
        nb_outputs: 16,
    }),
    LayerSpec::Linear(LinearSpec {
        name: "nolace_cf2_gain",
        bias: Some("nolace_cf2_gain_bias"),
        subias: None,
        weights: None,
        float_weights: Some("nolace_cf2_gain_weights_float"),
        weights_idx: None,
        diag: None,
        scale: None,
        nb_inputs: 160,
        nb_outputs: 1,
    }),
    LayerSpec::Linear(LinearSpec {
        name: "nolace_cf2_global_gain",
        bias: Some("nolace_cf2_global_gain_bias"),
        subias: None,
        weights: None,
        float_weights: Some("nolace_cf2_global_gain_weights_float"),
        weights_idx: None,
        diag: None,
        scale: None,
        nb_inputs: 160,
        nb_outputs: 1,
    }),
    LayerSpec::Linear(LinearSpec {
        name: "nolace_af1_kernel",
        bias: Some("nolace_af1_kernel_bias"),
        subias: Some("nolace_af1_kernel_subias"),
        weights: Some("nolace_af1_kernel_weights_int8"),
        float_weights: Some("nolace_af1_kernel_weights_float"),
        weights_idx: None,
        diag: None,
        scale: Some("nolace_af1_kernel_scale"),
        nb_inputs: 160,
        nb_outputs: 32,
    }),
    LayerSpec::Linear(LinearSpec {
        name: "nolace_af1_gain",
        bias: Some("nolace_af1_gain_bias"),
        subias: None,
        weights: None,
        float_weights: Some("nolace_af1_gain_weights_float"),
        weights_idx: None,
        diag: None,
        scale: None,
        nb_inputs: 160,
        nb_outputs: 2,
    }),
    LayerSpec::Linear(LinearSpec {
        name: "nolace_tdshape1_alpha1_f",
        bias: Some("nolace_tdshape1_alpha1_f_bias"),
        subias: Some("nolace_tdshape1_alpha1_f_subias"),
        weights: Some("nolace_tdshape1_alpha1_f_weights_int8"),
        float_weights: Some("nolace_tdshape1_alpha1_f_weights_float"),
        weights_idx: None,
        diag: None,
        scale: Some("nolace_tdshape1_alpha1_f_scale"),
        nb_inputs: 320,
        nb_outputs: 80,
    }),
    LayerSpec::Linear(LinearSpec {
        name: "nolace_tdshape1_alpha1_t",
        bias: Some("nolace_tdshape1_alpha1_t_bias"),
        subias: None,
        weights: None,
        float_weights: Some("nolace_tdshape1_alpha1_t_weights_float"),
        weights_idx: None,
        diag: None,
        scale: None,
        nb_inputs: 42,
        nb_outputs: 80,
    }),
    LayerSpec::Linear(LinearSpec {
        name: "nolace_tdshape1_alpha2",
        bias: Some("nolace_tdshape1_alpha2_bias"),
        subias: None,
        weights: None,
        float_weights: Some("nolace_tdshape1_alpha2_weights_float"),
        weights_idx: None,
        diag: None,
        scale: None,
        nb_inputs: 160,
        nb_outputs: 80,
    }),
    LayerSpec::Linear(LinearSpec {
        name: "nolace_tdshape2_alpha1_f",
        bias: Some("nolace_tdshape2_alpha1_f_bias"),
        subias: Some("nolace_tdshape2_alpha1_f_subias"),
        weights: Some("nolace_tdshape2_alpha1_f_weights_int8"),
        float_weights: Some("nolace_tdshape2_alpha1_f_weights_float"),
        weights_idx: None,
        diag: None,
        scale: Some("nolace_tdshape2_alpha1_f_scale"),
        nb_inputs: 320,
        nb_outputs: 80,
    }),
    LayerSpec::Linear(LinearSpec {
        name: "nolace_tdshape2_alpha1_t",
        bias: Some("nolace_tdshape2_alpha1_t_bias"),
        subias: None,
        weights: None,
        float_weights: Some("nolace_tdshape2_alpha1_t_weights_float"),
        weights_idx: None,
        diag: None,
        scale: None,
        nb_inputs: 42,
        nb_outputs: 80,
    }),
    LayerSpec::Linear(LinearSpec {
        name: "nolace_tdshape2_alpha2",
        bias: Some("nolace_tdshape2_alpha2_bias"),
        subias: None,
        weights: None,
        float_weights: Some("nolace_tdshape2_alpha2_weights_float"),
        weights_idx: None,
        diag: None,
        scale: None,
        nb_inputs: 160,
        nb_outputs: 80,
    }),
    LayerSpec::Linear(LinearSpec {
        name: "nolace_tdshape3_alpha1_f",
        bias: Some("nolace_tdshape3_alpha1_f_bias"),
        subias: Some("nolace_tdshape3_alpha1_f_subias"),
        weights: Some("nolace_tdshape3_alpha1_f_weights_int8"),
        float_weights: Some("nolace_tdshape3_alpha1_f_weights_float"),
        weights_idx: None,
        diag: None,
        scale: Some("nolace_tdshape3_alpha1_f_scale"),
        nb_inputs: 320,
        nb_outputs: 80,
    }),
    LayerSpec::Linear(LinearSpec {
        name: "nolace_tdshape3_alpha1_t",
        bias: Some("nolace_tdshape3_alpha1_t_bias"),
        subias: None,
        weights: None,
        float_weights: Some("nolace_tdshape3_alpha1_t_weights_float"),
        weights_idx: None,
        diag: None,
        scale: None,
        nb_inputs: 42,
        nb_outputs: 80,
    }),
    LayerSpec::Linear(LinearSpec {
        name: "nolace_tdshape3_alpha2",
        bias: Some("nolace_tdshape3_alpha2_bias"),
        subias: None,
        weights: None,
        float_weights: Some("nolace_tdshape3_alpha2_weights_float"),
        weights_idx: None,
        diag: None,
        scale: None,
        nb_inputs: 160,
        nb_outputs: 80,
    }),
    LayerSpec::Linear(LinearSpec {
        name: "nolace_af2_kernel",
        bias: Some("nolace_af2_kernel_bias"),
        subias: Some("nolace_af2_kernel_subias"),
        weights: Some("nolace_af2_kernel_weights_int8"),
        float_weights: Some("nolace_af2_kernel_weights_float"),
        weights_idx: None,
        diag: None,
        scale: Some("nolace_af2_kernel_scale"),
        nb_inputs: 160,
        nb_outputs: 64,
    }),
    LayerSpec::Linear(LinearSpec {
        name: "nolace_af2_gain",
        bias: Some("nolace_af2_gain_bias"),
        subias: None,
        weights: None,
        float_weights: Some("nolace_af2_gain_weights_float"),
        weights_idx: None,
        diag: None,
        scale: None,
        nb_inputs: 160,
        nb_outputs: 2,
    }),
    LayerSpec::Linear(LinearSpec {
        name: "nolace_af3_kernel",
        bias: Some("nolace_af3_kernel_bias"),
        subias: Some("nolace_af3_kernel_subias"),
        weights: Some("nolace_af3_kernel_weights_int8"),
        float_weights: Some("nolace_af3_kernel_weights_float"),
        weights_idx: None,
        diag: None,
        scale: Some("nolace_af3_kernel_scale"),
        nb_inputs: 160,
        nb_outputs: 64,
    }),
    LayerSpec::Linear(LinearSpec {
        name: "nolace_af3_gain",
        bias: Some("nolace_af3_gain_bias"),
        subias: None,
        weights: None,
        float_weights: Some("nolace_af3_gain_weights_float"),
        weights_idx: None,
        diag: None,
        scale: None,
        nb_inputs: 160,
        nb_outputs: 2,
    }),
    LayerSpec::Linear(LinearSpec {
        name: "nolace_af4_kernel",
        bias: Some("nolace_af4_kernel_bias"),
        subias: Some("nolace_af4_kernel_subias"),
        weights: Some("nolace_af4_kernel_weights_int8"),
        float_weights: Some("nolace_af4_kernel_weights_float"),
        weights_idx: None,
        diag: None,
        scale: Some("nolace_af4_kernel_scale"),
        nb_inputs: 160,
        nb_outputs: 32,
    }),
    LayerSpec::Linear(LinearSpec {
        name: "nolace_af4_gain",
        bias: Some("nolace_af4_gain_bias"),
        subias: None,
        weights: None,
        float_weights: Some("nolace_af4_gain_weights_float"),
        weights_idx: None,
        diag: None,
        scale: None,
        nb_inputs: 160,
        nb_outputs: 1,
    }),
    LayerSpec::Linear(LinearSpec {
        name: "nolace_post_cf1",
        bias: Some("nolace_post_cf1_bias"),
        subias: Some("nolace_post_cf1_subias"),
        weights: Some("nolace_post_cf1_weights_int8"),
        float_weights: Some("nolace_post_cf1_weights_float"),
        weights_idx: None,
        diag: None,
        scale: Some("nolace_post_cf1_scale"),
        nb_inputs: 320,
        nb_outputs: 160,
    }),
    LayerSpec::Linear(LinearSpec {
        name: "nolace_post_cf2",
        bias: Some("nolace_post_cf2_bias"),
        subias: Some("nolace_post_cf2_subias"),
        weights: Some("nolace_post_cf2_weights_int8"),
        float_weights: Some("nolace_post_cf2_weights_float"),
        weights_idx: None,
        diag: None,
        scale: Some("nolace_post_cf2_scale"),
        nb_inputs: 320,
        nb_outputs: 160,
    }),
    LayerSpec::Linear(LinearSpec {
        name: "nolace_post_af1",
        bias: Some("nolace_post_af1_bias"),
        subias: Some("nolace_post_af1_subias"),
        weights: Some("nolace_post_af1_weights_int8"),
        float_weights: Some("nolace_post_af1_weights_float"),
        weights_idx: None,
        diag: None,
        scale: Some("nolace_post_af1_scale"),
        nb_inputs: 320,
        nb_outputs: 160,
    }),
    LayerSpec::Linear(LinearSpec {
        name: "nolace_post_af2",
        bias: Some("nolace_post_af2_bias"),
        subias: Some("nolace_post_af2_subias"),
        weights: Some("nolace_post_af2_weights_int8"),
        float_weights: Some("nolace_post_af2_weights_float"),
        weights_idx: None,
        diag: None,
        scale: Some("nolace_post_af2_scale"),
        nb_inputs: 320,
        nb_outputs: 160,
    }),
    LayerSpec::Linear(LinearSpec {
        name: "nolace_post_af3",
        bias: Some("nolace_post_af3_bias"),
        subias: Some("nolace_post_af3_subias"),
        weights: Some("nolace_post_af3_weights_int8"),
        float_weights: Some("nolace_post_af3_weights_float"),
        weights_idx: None,
        diag: None,
        scale: Some("nolace_post_af3_scale"),
        nb_inputs: 320,
        nb_outputs: 160,
    }),
];

/// libopus `NOLACELayers` (`dnn/nolace_data.h`): the layers of the model, in
/// the order of the C struct. Each layer borrows its arrays from a weight list.
#[derive(Clone, Copy, Default)]
pub struct NolaceLayers<'w> {
    /// `nolace_pitch_embedding`: float weights, 301 inputs, 64 outputs.
    pub nolace_pitch_embedding: LinearLayer<'w>,
    /// `nolace_fnet_conv1`: float weights, 173 inputs, 96 outputs.
    pub nolace_fnet_conv1: LinearLayer<'w>,
    /// `nolace_fnet_conv2`: int8 weights, 768 inputs, 160 outputs.
    pub nolace_fnet_conv2: LinearLayer<'w>,
    /// `nolace_fnet_tconv`: int8 weights, 160 inputs, 640 outputs.
    pub nolace_fnet_tconv: LinearLayer<'w>,
    /// `nolace_fnet_gru_input`: int8 weights, 160 inputs, 480 outputs.
    pub nolace_fnet_gru_input: LinearLayer<'w>,
    /// `nolace_fnet_gru_recurrent`: int8 weights, 160 inputs, 480 outputs.
    pub nolace_fnet_gru_recurrent: LinearLayer<'w>,
    /// `nolace_cf1_kernel`: int8 weights, 160 inputs, 16 outputs.
    pub nolace_cf1_kernel: LinearLayer<'w>,
    /// `nolace_cf1_gain`: float weights, 160 inputs, 1 output.
    pub nolace_cf1_gain: LinearLayer<'w>,
    /// `nolace_cf1_global_gain`: float weights, 160 inputs, 1 output.
    pub nolace_cf1_global_gain: LinearLayer<'w>,
    /// `nolace_cf2_kernel`: int8 weights, 160 inputs, 16 outputs.
    pub nolace_cf2_kernel: LinearLayer<'w>,
    /// `nolace_cf2_gain`: float weights, 160 inputs, 1 output.
    pub nolace_cf2_gain: LinearLayer<'w>,
    /// `nolace_cf2_global_gain`: float weights, 160 inputs, 1 output.
    pub nolace_cf2_global_gain: LinearLayer<'w>,
    /// `nolace_af1_kernel`: int8 weights, 160 inputs, 32 outputs.
    pub nolace_af1_kernel: LinearLayer<'w>,
    /// `nolace_af1_gain`: float weights, 160 inputs, 2 outputs.
    pub nolace_af1_gain: LinearLayer<'w>,
    /// `nolace_tdshape1_alpha1_f`: int8 weights, 320 inputs, 80 outputs.
    pub nolace_tdshape1_alpha1_f: LinearLayer<'w>,
    /// `nolace_tdshape1_alpha1_t`: float weights, 42 inputs, 80 outputs.
    pub nolace_tdshape1_alpha1_t: LinearLayer<'w>,
    /// `nolace_tdshape1_alpha2`: float weights, 160 inputs, 80 outputs.
    pub nolace_tdshape1_alpha2: LinearLayer<'w>,
    /// `nolace_tdshape2_alpha1_f`: int8 weights, 320 inputs, 80 outputs.
    pub nolace_tdshape2_alpha1_f: LinearLayer<'w>,
    /// `nolace_tdshape2_alpha1_t`: float weights, 42 inputs, 80 outputs.
    pub nolace_tdshape2_alpha1_t: LinearLayer<'w>,
    /// `nolace_tdshape2_alpha2`: float weights, 160 inputs, 80 outputs.
    pub nolace_tdshape2_alpha2: LinearLayer<'w>,
    /// `nolace_tdshape3_alpha1_f`: int8 weights, 320 inputs, 80 outputs.
    pub nolace_tdshape3_alpha1_f: LinearLayer<'w>,
    /// `nolace_tdshape3_alpha1_t`: float weights, 42 inputs, 80 outputs.
    pub nolace_tdshape3_alpha1_t: LinearLayer<'w>,
    /// `nolace_tdshape3_alpha2`: float weights, 160 inputs, 80 outputs.
    pub nolace_tdshape3_alpha2: LinearLayer<'w>,
    /// `nolace_af2_kernel`: int8 weights, 160 inputs, 64 outputs.
    pub nolace_af2_kernel: LinearLayer<'w>,
    /// `nolace_af2_gain`: float weights, 160 inputs, 2 outputs.
    pub nolace_af2_gain: LinearLayer<'w>,
    /// `nolace_af3_kernel`: int8 weights, 160 inputs, 64 outputs.
    pub nolace_af3_kernel: LinearLayer<'w>,
    /// `nolace_af3_gain`: float weights, 160 inputs, 2 outputs.
    pub nolace_af3_gain: LinearLayer<'w>,
    /// `nolace_af4_kernel`: int8 weights, 160 inputs, 32 outputs.
    pub nolace_af4_kernel: LinearLayer<'w>,
    /// `nolace_af4_gain`: float weights, 160 inputs, 1 output.
    pub nolace_af4_gain: LinearLayer<'w>,
    /// `nolace_post_cf1`: int8 weights, 320 inputs, 160 outputs.
    pub nolace_post_cf1: LinearLayer<'w>,
    /// `nolace_post_cf2`: int8 weights, 320 inputs, 160 outputs.
    pub nolace_post_cf2: LinearLayer<'w>,
    /// `nolace_post_af1`: int8 weights, 320 inputs, 160 outputs.
    pub nolace_post_af1: LinearLayer<'w>,
    /// `nolace_post_af2`: int8 weights, 320 inputs, 160 outputs.
    pub nolace_post_af2: LinearLayer<'w>,
    /// `nolace_post_af3`: int8 weights, 320 inputs, 160 outputs.
    pub nolace_post_af3: LinearLayer<'w>,
}

impl<'w> NolaceLayers<'w> {
    /// libopus `init_nolacelayers`: builds every layer from the arrays of
    /// `list`, in the order of `LAYERS`. Fails at the first layer whose arrays
    /// are missing, have the wrong size or are malformed; then nothing is
    /// built.
    pub fn init(list: &WeightList<'w>) -> Result<Self, Error> {
        Ok(NolaceLayers {
            nolace_pitch_embedding: LAYERS[0].linear(list)?,
            nolace_fnet_conv1: LAYERS[1].linear(list)?,
            nolace_fnet_conv2: LAYERS[2].linear(list)?,
            nolace_fnet_tconv: LAYERS[3].linear(list)?,
            nolace_fnet_gru_input: LAYERS[4].linear(list)?,
            nolace_fnet_gru_recurrent: LAYERS[5].linear(list)?,
            nolace_cf1_kernel: LAYERS[6].linear(list)?,
            nolace_cf1_gain: LAYERS[7].linear(list)?,
            nolace_cf1_global_gain: LAYERS[8].linear(list)?,
            nolace_cf2_kernel: LAYERS[9].linear(list)?,
            nolace_cf2_gain: LAYERS[10].linear(list)?,
            nolace_cf2_global_gain: LAYERS[11].linear(list)?,
            nolace_af1_kernel: LAYERS[12].linear(list)?,
            nolace_af1_gain: LAYERS[13].linear(list)?,
            nolace_tdshape1_alpha1_f: LAYERS[14].linear(list)?,
            nolace_tdshape1_alpha1_t: LAYERS[15].linear(list)?,
            nolace_tdshape1_alpha2: LAYERS[16].linear(list)?,
            nolace_tdshape2_alpha1_f: LAYERS[17].linear(list)?,
            nolace_tdshape2_alpha1_t: LAYERS[18].linear(list)?,
            nolace_tdshape2_alpha2: LAYERS[19].linear(list)?,
            nolace_tdshape3_alpha1_f: LAYERS[20].linear(list)?,
            nolace_tdshape3_alpha1_t: LAYERS[21].linear(list)?,
            nolace_tdshape3_alpha2: LAYERS[22].linear(list)?,
            nolace_af2_kernel: LAYERS[23].linear(list)?,
            nolace_af2_gain: LAYERS[24].linear(list)?,
            nolace_af3_kernel: LAYERS[25].linear(list)?,
            nolace_af3_gain: LAYERS[26].linear(list)?,
            nolace_af4_kernel: LAYERS[27].linear(list)?,
            nolace_af4_gain: LAYERS[28].linear(list)?,
            nolace_post_cf1: LAYERS[29].linear(list)?,
            nolace_post_cf2: LAYERS[30].linear(list)?,
            nolace_post_af1: LAYERS[31].linear(list)?,
            nolace_post_af2: LAYERS[32].linear(list)?,
            nolace_post_af3: LAYERS[33].linear(list)?,
        })
    }

    /// Every layer, in the order of `LAYERS`.
    pub fn layers(&self) -> [Layer<'_, 'w>; 34] {
        [
            Layer::Linear(&self.nolace_pitch_embedding),
            Layer::Linear(&self.nolace_fnet_conv1),
            Layer::Linear(&self.nolace_fnet_conv2),
            Layer::Linear(&self.nolace_fnet_tconv),
            Layer::Linear(&self.nolace_fnet_gru_input),
            Layer::Linear(&self.nolace_fnet_gru_recurrent),
            Layer::Linear(&self.nolace_cf1_kernel),
            Layer::Linear(&self.nolace_cf1_gain),
            Layer::Linear(&self.nolace_cf1_global_gain),
            Layer::Linear(&self.nolace_cf2_kernel),
            Layer::Linear(&self.nolace_cf2_gain),
            Layer::Linear(&self.nolace_cf2_global_gain),
            Layer::Linear(&self.nolace_af1_kernel),
            Layer::Linear(&self.nolace_af1_gain),
            Layer::Linear(&self.nolace_tdshape1_alpha1_f),
            Layer::Linear(&self.nolace_tdshape1_alpha1_t),
            Layer::Linear(&self.nolace_tdshape1_alpha2),
            Layer::Linear(&self.nolace_tdshape2_alpha1_f),
            Layer::Linear(&self.nolace_tdshape2_alpha1_t),
            Layer::Linear(&self.nolace_tdshape2_alpha2),
            Layer::Linear(&self.nolace_tdshape3_alpha1_f),
            Layer::Linear(&self.nolace_tdshape3_alpha1_t),
            Layer::Linear(&self.nolace_tdshape3_alpha2),
            Layer::Linear(&self.nolace_af2_kernel),
            Layer::Linear(&self.nolace_af2_gain),
            Layer::Linear(&self.nolace_af3_kernel),
            Layer::Linear(&self.nolace_af3_gain),
            Layer::Linear(&self.nolace_af4_kernel),
            Layer::Linear(&self.nolace_af4_gain),
            Layer::Linear(&self.nolace_post_cf1),
            Layer::Linear(&self.nolace_post_cf2),
            Layer::Linear(&self.nolace_post_af1),
            Layer::Linear(&self.nolace_post_af2),
            Layer::Linear(&self.nolace_post_af3),
        ]
    }
}