parakeet-rs 0.4.2

// Generated by scripts/generate_burn.py from encoder.onnx with burn-onnx 0.22.0. Do not edit.
// Where each burn parameter's data comes from; see src/burn_backend/onnx.rs.
use crate::burn_backend::onnx::{Source::*, Transform::*, Weight};

pub(crate) const WEIGHTS: &[Weight] = &[
    Weight { path: "submodule1.constant740", shape: Some(&[1]), source: ConstF32(&[2.0]) },
    Weight { path: "submodule1.constant741", shape: Some(&[1]), source: ConstF32(&[1.0]) },
    Weight { path: "submodule1.constant742", shape: Some(&[1]), source: ConstF32(&[3.0]) },
    Weight { path: "submodule1.constant743", shape: Some(&[1]), source: ConstF32(&[2.0]) },
    Weight { path: "submodule1.constant744", shape: Some(&[1]), source: ConstF32(&[1.0]) },
    Weight { path: "submodule1.conv2d1.bias", shape: Some(&[256]), source: Param("encoder.pre_encode.conv.0.bias", Copy) },
    Weight { path: "submodule1.conv2d1.weight", shape: Some(&[256, 1, 3, 3]), source: Param("encoder.pre_encode.conv.0.weight", Copy) },
    Weight { path: "submodule10.constant108", shape: Some(&[8, 128]), source: Param("encoder.layers.5.self_attn.pos_bias_u", Copy) },
    Weight { path: "submodule10.constant109", shape: Some(&[8, 128]), source: Param("encoder.layers.5.self_attn.pos_bias_v", Copy) },
    Weight { path: "submodule10.constant1464", shape: Some(&[1]), source: ConstF32(&[0.5]) },
    Weight { path: "submodule10.constant1465", shape: Some(&[1]), source: ConstF32(&[0.5]) },
    Weight { path: "submodule10.constant1520", shape: Some(&[1]), source: ConstF32(&[11.313708305358887]) },
    Weight { path: "submodule10.conv1d13.weight", shape: Some(&[2048, 1024, 1]), source: Param("encoder.layers.4.conv.pointwise_conv1.weight", Copy) },
    Weight { path: "submodule10.conv1d14.weight", shape: Some(&[1024, 1, 9]), source: Param("encoder.layers.4.conv.depthwise_conv.weight", Copy) },
    Weight { path: "submodule10.conv1d15.weight", shape: Some(&[1024, 1024, 1]), source: Param("encoder.layers.4.conv.pointwise_conv2.weight", Copy) },
    Weight { path: "submodule10.layernormalization27.beta", shape: Some(&[1024]), source: Param("encoder.layers.4.norm_conv.bias", Copy) },
    Weight { path: "submodule10.layernormalization27.gamma", shape: Some(&[1024]), source: Param("encoder.layers.4.norm_conv.weight", Copy) },
    Weight { path: "submodule10.layernormalization28.beta", shape: Some(&[1024]), source: Param("encoder.layers.4.conv.batch_norm.bias", Copy) },
    Weight { path: "submodule10.layernormalization28.gamma", shape: Some(&[1024]), source: Param("encoder.layers.4.conv.batch_norm.weight", Copy) },
    Weight { path: "submodule10.layernormalization29.beta", shape: Some(&[1024]), source: Param("encoder.layers.4.norm_feed_forward2.bias", Copy) },
    Weight { path: "submodule10.layernormalization29.gamma", shape: Some(&[1024]), source: Param("encoder.layers.4.norm_feed_forward2.weight", Copy) },
    Weight { path: "submodule10.layernormalization30.beta", shape: Some(&[1024]), source: Param("encoder.layers.4.norm_out.bias", Copy) },
    Weight { path: "submodule10.layernormalization30.gamma", shape: Some(&[1024]), source: Param("encoder.layers.4.norm_out.weight", Copy) },
    Weight { path: "submodule10.layernormalization31.beta", shape: Some(&[1024]), source: Param("encoder.layers.5.norm_feed_forward1.bias", Copy) },
    Weight { path: "submodule10.layernormalization31.gamma", shape: Some(&[1024]), source: Param("encoder.layers.5.norm_feed_forward1.weight", Copy) },
    Weight { path: "submodule10.layernormalization32.beta", shape: Some(&[1024]), source: Param("encoder.layers.5.norm_self_att.bias", Copy) },
    Weight { path: "submodule10.layernormalization32.gamma", shape: Some(&[1024]), source: Param("encoder.layers.5.norm_self_att.weight", Copy) },
    Weight { path: "submodule10.linear49.weight", shape: Some(&[1024, 4096]), source: Param("/layers.4/feed_forward2/linear1/MatMul#1", Copy) },
    Weight { path: "submodule10.linear50.weight", shape: Some(&[4096, 1024]), source: Param("/layers.4/feed_forward2/linear2/MatMul#1", Copy) },
    Weight { path: "submodule10.linear51.weight", shape: Some(&[1024, 4096]), source: Param("/layers.5/feed_forward1/linear1/MatMul#1", Copy) },
    Weight { path: "submodule10.linear52.weight", shape: Some(&[4096, 1024]), source: Param("/layers.5/feed_forward1/linear2/MatMul#1", Copy) },
    Weight { path: "submodule10.linear53.weight", shape: Some(&[1024, 1024]), source: Param("/layers.5/self_attn/linear_q/MatMul#1", Copy) },
    Weight { path: "submodule10.linear54.weight", shape: Some(&[1024, 1024]), source: Param("/layers.5/self_attn/linear_k/MatMul#1", Copy) },
    Weight { path: "submodule10.linear55.weight", shape: Some(&[1024, 1024]), source: Param("/layers.5/self_attn/linear_v/MatMul#1", Copy) },
    Weight { path: "submodule10.linear56.weight", shape: Some(&[1024, 1024]), source: Param("/layers.5/self_attn/linear_pos/MatMul#1", Copy) },
    Weight { path: "submodule10.linear57.weight", shape: Some(&[1024, 1024]), source: Param("/layers.5/self_attn/linear_out/MatMul#1", Copy) },
    Weight { path: "submodule11.constant125", shape: Some(&[8, 128]), source: Param("encoder.layers.6.self_attn.pos_bias_u", Copy) },
    Weight { path: "submodule11.constant126", shape: Some(&[8, 128]), source: Param("encoder.layers.6.self_attn.pos_bias_v", Copy) },
    Weight { path: "submodule11.constant1540", shape: Some(&[1]), source: ConstF32(&[0.5]) },
    Weight { path: "submodule11.constant1541", shape: Some(&[1]), source: ConstF32(&[0.5]) },
    Weight { path: "submodule11.constant1596", shape: Some(&[1]), source: ConstF32(&[11.313708305358887]) },
    Weight { path: "submodule11.conv1d16.weight", shape: Some(&[2048, 1024, 1]), source: Param("encoder.layers.5.conv.pointwise_conv1.weight", Copy) },
    Weight { path: "submodule11.conv1d17.weight", shape: Some(&[1024, 1, 9]), source: Param("encoder.layers.5.conv.depthwise_conv.weight", Copy) },
    Weight { path: "submodule11.conv1d18.weight", shape: Some(&[1024, 1024, 1]), source: Param("encoder.layers.5.conv.pointwise_conv2.weight", Copy) },
    Weight { path: "submodule11.layernormalization33.beta", shape: Some(&[1024]), source: Param("encoder.layers.5.norm_conv.bias", Copy) },
    Weight { path: "submodule11.layernormalization33.gamma", shape: Some(&[1024]), source: Param("encoder.layers.5.norm_conv.weight", Copy) },
    Weight { path: "submodule11.layernormalization34.beta", shape: Some(&[1024]), source: Param("encoder.layers.5.conv.batch_norm.bias", Copy) },
    Weight { path: "submodule11.layernormalization34.gamma", shape: Some(&[1024]), source: Param("encoder.layers.5.conv.batch_norm.weight", Copy) },
    Weight { path: "submodule11.layernormalization35.beta", shape: Some(&[1024]), source: Param("encoder.layers.5.norm_feed_forward2.bias", Copy) },
    Weight { path: "submodule11.layernormalization35.gamma", shape: Some(&[1024]), source: Param("encoder.layers.5.norm_feed_forward2.weight", Copy) },
    Weight { path: "submodule11.layernormalization36.beta", shape: Some(&[1024]), source: Param("encoder.layers.5.norm_out.bias", Copy) },
    Weight { path: "submodule11.layernormalization36.gamma", shape: Some(&[1024]), source: Param("encoder.layers.5.norm_out.weight", Copy) },
    Weight { path: "submodule11.layernormalization37.beta", shape: Some(&[1024]), source: Param("encoder.layers.6.norm_feed_forward1.bias", Copy) },
    Weight { path: "submodule11.layernormalization37.gamma", shape: Some(&[1024]), source: Param("encoder.layers.6.norm_feed_forward1.weight", Copy) },
    Weight { path: "submodule11.layernormalization38.beta", shape: Some(&[1024]), source: Param("encoder.layers.6.norm_self_att.bias", Copy) },
    Weight { path: "submodule11.layernormalization38.gamma", shape: Some(&[1024]), source: Param("encoder.layers.6.norm_self_att.weight", Copy) },
    Weight { path: "submodule11.linear58.weight", shape: Some(&[1024, 4096]), source: Param("/layers.5/feed_forward2/linear1/MatMul#1", Copy) },
    Weight { path: "submodule11.linear59.weight", shape: Some(&[4096, 1024]), source: Param("/layers.5/feed_forward2/linear2/MatMul#1", Copy) },
    Weight { path: "submodule11.linear60.weight", shape: Some(&[1024, 4096]), source: Param("/layers.6/feed_forward1/linear1/MatMul#1", Copy) },
    Weight { path: "submodule11.linear61.weight", shape: Some(&[4096, 1024]), source: Param("/layers.6/feed_forward1/linear2/MatMul#1", Copy) },
    Weight { path: "submodule11.linear62.weight", shape: Some(&[1024, 1024]), source: Param("/layers.6/self_attn/linear_q/MatMul#1", Copy) },
    Weight { path: "submodule11.linear63.weight", shape: Some(&[1024, 1024]), source: Param("/layers.6/self_attn/linear_k/MatMul#1", Copy) },
    Weight { path: "submodule11.linear64.weight", shape: Some(&[1024, 1024]), source: Param("/layers.6/self_attn/linear_v/MatMul#1", Copy) },
    Weight { path: "submodule11.linear65.weight", shape: Some(&[1024, 1024]), source: Param("/layers.6/self_attn/linear_pos/MatMul#1", Copy) },
    Weight { path: "submodule11.linear66.weight", shape: Some(&[1024, 1024]), source: Param("/layers.6/self_attn/linear_out/MatMul#1", Copy) },
    Weight { path: "submodule12.constant142", shape: Some(&[8, 128]), source: Param("encoder.layers.7.self_attn.pos_bias_u", Copy) },
    Weight { path: "submodule12.constant143", shape: Some(&[8, 128]), source: Param("encoder.layers.7.self_attn.pos_bias_v", Copy) },
    Weight { path: "submodule12.constant1616", shape: Some(&[1]), source: ConstF32(&[0.5]) },
    Weight { path: "submodule12.constant1618", shape: Some(&[1]), source: ConstF32(&[0.5]) },
    Weight { path: "submodule12.constant1673", shape: Some(&[1]), source: ConstF32(&[11.313708305358887]) },
    Weight { path: "submodule12.conv1d19.weight", shape: Some(&[2048, 1024, 1]), source: Param("encoder.layers.6.conv.pointwise_conv1.weight", Copy) },
    Weight { path: "submodule12.conv1d20.weight", shape: Some(&[1024, 1, 9]), source: Param("encoder.layers.6.conv.depthwise_conv.weight", Copy) },
    Weight { path: "submodule12.conv1d21.weight", shape: Some(&[1024, 1024, 1]), source: Param("encoder.layers.6.conv.pointwise_conv2.weight", Copy) },
    Weight { path: "submodule12.layernormalization39.beta", shape: Some(&[1024]), source: Param("encoder.layers.6.norm_conv.bias", Copy) },
    Weight { path: "submodule12.layernormalization39.gamma", shape: Some(&[1024]), source: Param("encoder.layers.6.norm_conv.weight", Copy) },
    Weight { path: "submodule12.layernormalization40.beta", shape: Some(&[1024]), source: Param("encoder.layers.6.conv.batch_norm.bias", Copy) },
    Weight { path: "submodule12.layernormalization40.gamma", shape: Some(&[1024]), source: Param("encoder.layers.6.conv.batch_norm.weight", Copy) },
    Weight { path: "submodule12.layernormalization41.beta", shape: Some(&[1024]), source: Param("encoder.layers.6.norm_feed_forward2.bias", Copy) },
    Weight { path: "submodule12.layernormalization41.gamma", shape: Some(&[1024]), source: Param("encoder.layers.6.norm_feed_forward2.weight", Copy) },
    Weight { path: "submodule12.layernormalization42.beta", shape: Some(&[1024]), source: Param("encoder.layers.6.norm_out.bias", Copy) },
    Weight { path: "submodule12.layernormalization42.gamma", shape: Some(&[1024]), source: Param("encoder.layers.6.norm_out.weight", Copy) },
    Weight { path: "submodule12.layernormalization43.beta", shape: Some(&[1024]), source: Param("encoder.layers.7.norm_feed_forward1.bias", Copy) },
    Weight { path: "submodule12.layernormalization43.gamma", shape: Some(&[1024]), source: Param("encoder.layers.7.norm_feed_forward1.weight", Copy) },
    Weight { path: "submodule12.layernormalization44.beta", shape: Some(&[1024]), source: Param("encoder.layers.7.norm_self_att.bias", Copy) },
    Weight { path: "submodule12.layernormalization44.gamma", shape: Some(&[1024]), source: Param("encoder.layers.7.norm_self_att.weight", Copy) },
    Weight { path: "submodule12.linear67.weight", shape: Some(&[1024, 4096]), source: Param("/layers.6/feed_forward2/linear1/MatMul#1", Copy) },
    Weight { path: "submodule12.linear68.weight", shape: Some(&[4096, 1024]), source: Param("/layers.6/feed_forward2/linear2/MatMul#1", Copy) },
    Weight { path: "submodule12.linear69.weight", shape: Some(&[1024, 4096]), source: Param("/layers.7/feed_forward1/linear1/MatMul#1", Copy) },
    Weight { path: "submodule12.linear70.weight", shape: Some(&[4096, 1024]), source: Param("/layers.7/feed_forward1/linear2/MatMul#1", Copy) },
    Weight { path: "submodule12.linear71.weight", shape: Some(&[1024, 1024]), source: Param("/layers.7/self_attn/linear_q/MatMul#1", Copy) },
    Weight { path: "submodule12.linear72.weight", shape: Some(&[1024, 1024]), source: Param("/layers.7/self_attn/linear_k/MatMul#1", Copy) },
    Weight { path: "submodule12.linear73.weight", shape: Some(&[1024, 1024]), source: Param("/layers.7/self_attn/linear_v/MatMul#1", Copy) },
    Weight { path: "submodule12.linear74.weight", shape: Some(&[1024, 1024]), source: Param("/layers.7/self_attn/linear_pos/MatMul#1", Copy) },
    Weight { path: "submodule12.linear75.weight", shape: Some(&[1024, 1024]), source: Param("/layers.7/self_attn/linear_out/MatMul#1", Copy) },
    Weight { path: "submodule13.constant159", shape: Some(&[8, 128]), source: Param("encoder.layers.8.self_attn.pos_bias_u", Copy) },
    Weight { path: "submodule13.constant160", shape: Some(&[8, 128]), source: Param("encoder.layers.8.self_attn.pos_bias_v", Copy) },
    Weight { path: "submodule13.constant1693", shape: Some(&[1]), source: ConstF32(&[0.5]) },
    Weight { path: "submodule13.constant1694", shape: Some(&[1]), source: ConstF32(&[0.5]) },
    Weight { path: "submodule13.constant1749", shape: Some(&[1]), source: ConstF32(&[11.313708305358887]) },
    Weight { path: "submodule13.conv1d22.weight", shape: Some(&[2048, 1024, 1]), source: Param("encoder.layers.7.conv.pointwise_conv1.weight", Copy) },
    Weight { path: "submodule13.conv1d23.weight", shape: Some(&[1024, 1, 9]), source: Param("encoder.layers.7.conv.depthwise_conv.weight", Copy) },
    Weight { path: "submodule13.conv1d24.weight", shape: Some(&[1024, 1024, 1]), source: Param("encoder.layers.7.conv.pointwise_conv2.weight", Copy) },
    Weight { path: "submodule13.layernormalization45.beta", shape: Some(&[1024]), source: Param("encoder.layers.7.norm_conv.bias", Copy) },
    Weight { path: "submodule13.layernormalization45.gamma", shape: Some(&[1024]), source: Param("encoder.layers.7.norm_conv.weight", Copy) },
    Weight { path: "submodule13.layernormalization46.beta", shape: Some(&[1024]), source: Param("encoder.layers.7.conv.batch_norm.bias", Copy) },
    Weight { path: "submodule13.layernormalization46.gamma", shape: Some(&[1024]), source: Param("encoder.layers.7.conv.batch_norm.weight", Copy) },
    Weight { path: "submodule13.layernormalization47.beta", shape: Some(&[1024]), source: Param("encoder.layers.7.norm_feed_forward2.bias", Copy) },
    Weight { path: "submodule13.layernormalization47.gamma", shape: Some(&[1024]), source: Param("encoder.layers.7.norm_feed_forward2.weight", Copy) },
    Weight { path: "submodule13.layernormalization48.beta", shape: Some(&[1024]), source: Param("encoder.layers.7.norm_out.bias", Copy) },
    Weight { path: "submodule13.layernormalization48.gamma", shape: Some(&[1024]), source: Param("encoder.layers.7.norm_out.weight", Copy) },
    Weight { path: "submodule13.layernormalization49.beta", shape: Some(&[1024]), source: Param("encoder.layers.8.norm_feed_forward1.bias", Copy) },
    Weight { path: "submodule13.layernormalization49.gamma", shape: Some(&[1024]), source: Param("encoder.layers.8.norm_feed_forward1.weight", Copy) },
    Weight { path: "submodule13.layernormalization50.beta", shape: Some(&[1024]), source: Param("encoder.layers.8.norm_self_att.bias", Copy) },
    Weight { path: "submodule13.layernormalization50.gamma", shape: Some(&[1024]), source: Param("encoder.layers.8.norm_self_att.weight", Copy) },
    Weight { path: "submodule13.linear76.weight", shape: Some(&[1024, 4096]), source: Param("/layers.7/feed_forward2/linear1/MatMul#1", Copy) },
    Weight { path: "submodule13.linear77.weight", shape: Some(&[4096, 1024]), source: Param("/layers.7/feed_forward2/linear2/MatMul#1", Copy) },
    Weight { path: "submodule13.linear78.weight", shape: Some(&[1024, 4096]), source: Param("/layers.8/feed_forward1/linear1/MatMul#1", Copy) },
    Weight { path: "submodule13.linear79.weight", shape: Some(&[4096, 1024]), source: Param("/layers.8/feed_forward1/linear2/MatMul#1", Copy) },
    Weight { path: "submodule13.linear80.weight", shape: Some(&[1024, 1024]), source: Param("/layers.8/self_attn/linear_q/MatMul#1", Copy) },
    Weight { path: "submodule13.linear81.weight", shape: Some(&[1024, 1024]), source: Param("/layers.8/self_attn/linear_k/MatMul#1", Copy) },
    Weight { path: "submodule13.linear82.weight", shape: Some(&[1024, 1024]), source: Param("/layers.8/self_attn/linear_v/MatMul#1", Copy) },
    Weight { path: "submodule13.linear83.weight", shape: Some(&[1024, 1024]), source: Param("/layers.8/self_attn/linear_pos/MatMul#1", Copy) },
    Weight { path: "submodule13.linear84.weight", shape: Some(&[1024, 1024]), source: Param("/layers.8/self_attn/linear_out/MatMul#1", Copy) },
    Weight { path: "submodule14.constant176", shape: Some(&[8, 128]), source: Param("encoder.layers.9.self_attn.pos_bias_u", Copy) },
    Weight { path: "submodule14.constant1769", shape: Some(&[1]), source: ConstF32(&[0.5]) },
    Weight { path: "submodule14.constant177", shape: Some(&[8, 128]), source: Param("encoder.layers.9.self_attn.pos_bias_v", Copy) },
    Weight { path: "submodule14.constant1771", shape: Some(&[1]), source: ConstF32(&[0.5]) },
    Weight { path: "submodule14.constant1826", shape: Some(&[1]), source: ConstF32(&[11.313708305358887]) },
    Weight { path: "submodule14.conv1d25.weight", shape: Some(&[2048, 1024, 1]), source: Param("encoder.layers.8.conv.pointwise_conv1.weight", Copy) },
    Weight { path: "submodule14.conv1d26.weight", shape: Some(&[1024, 1, 9]), source: Param("encoder.layers.8.conv.depthwise_conv.weight", Copy) },
    Weight { path: "submodule14.conv1d27.weight", shape: Some(&[1024, 1024, 1]), source: Param("encoder.layers.8.conv.pointwise_conv2.weight", Copy) },
    Weight { path: "submodule14.layernormalization51.beta", shape: Some(&[1024]), source: Param("encoder.layers.8.norm_conv.bias", Copy) },
    Weight { path: "submodule14.layernormalization51.gamma", shape: Some(&[1024]), source: Param("encoder.layers.8.norm_conv.weight", Copy) },
    Weight { path: "submodule14.layernormalization52.beta", shape: Some(&[1024]), source: Param("encoder.layers.8.conv.batch_norm.bias", Copy) },
    Weight { path: "submodule14.layernormalization52.gamma", shape: Some(&[1024]), source: Param("encoder.layers.8.conv.batch_norm.weight", Copy) },
    Weight { path: "submodule14.layernormalization53.beta", shape: Some(&[1024]), source: Param("encoder.layers.8.norm_feed_forward2.bias", Copy) },
    Weight { path: "submodule14.layernormalization53.gamma", shape: Some(&[1024]), source: Param("encoder.layers.8.norm_feed_forward2.weight", Copy) },
    Weight { path: "submodule14.layernormalization54.beta", shape: Some(&[1024]), source: Param("encoder.layers.8.norm_out.bias", Copy) },
    Weight { path: "submodule14.layernormalization54.gamma", shape: Some(&[1024]), source: Param("encoder.layers.8.norm_out.weight", Copy) },
    Weight { path: "submodule14.layernormalization55.beta", shape: Some(&[1024]), source: Param("encoder.layers.9.norm_feed_forward1.bias", Copy) },
    Weight { path: "submodule14.layernormalization55.gamma", shape: Some(&[1024]), source: Param("encoder.layers.9.norm_feed_forward1.weight", Copy) },
    Weight { path: "submodule14.layernormalization56.beta", shape: Some(&[1024]), source: Param("encoder.layers.9.norm_self_att.bias", Copy) },
    Weight { path: "submodule14.layernormalization56.gamma", shape: Some(&[1024]), source: Param("encoder.layers.9.norm_self_att.weight", Copy) },
    Weight { path: "submodule14.linear85.weight", shape: Some(&[1024, 4096]), source: Param("/layers.8/feed_forward2/linear1/MatMul#1", Copy) },
    Weight { path: "submodule14.linear86.weight", shape: Some(&[4096, 1024]), source: Param("/layers.8/feed_forward2/linear2/MatMul#1", Copy) },
    Weight { path: "submodule14.linear87.weight", shape: Some(&[1024, 4096]), source: Param("/layers.9/feed_forward1/linear1/MatMul#1", Copy) },
    Weight { path: "submodule14.linear88.weight", shape: Some(&[4096, 1024]), source: Param("/layers.9/feed_forward1/linear2/MatMul#1", Copy) },
    Weight { path: "submodule14.linear89.weight", shape: Some(&[1024, 1024]), source: Param("/layers.9/self_attn/linear_q/MatMul#1", Copy) },
    Weight { path: "submodule14.linear90.weight", shape: Some(&[1024, 1024]), source: Param("/layers.9/self_attn/linear_k/MatMul#1", Copy) },
    Weight { path: "submodule14.linear91.weight", shape: Some(&[1024, 1024]), source: Param("/layers.9/self_attn/linear_v/MatMul#1", Copy) },
    Weight { path: "submodule14.linear92.weight", shape: Some(&[1024, 1024]), source: Param("/layers.9/self_attn/linear_pos/MatMul#1", Copy) },
    Weight { path: "submodule14.linear93.weight", shape: Some(&[1024, 1024]), source: Param("/layers.9/self_attn/linear_out/MatMul#1", Copy) },
    Weight { path: "submodule15.constant1846", shape: Some(&[1]), source: ConstF32(&[0.5]) },
    Weight { path: "submodule15.constant1848", shape: Some(&[1]), source: ConstF32(&[0.5]) },
    Weight { path: "submodule15.constant1903", shape: Some(&[1]), source: ConstF32(&[11.313708305358887]) },
    Weight { path: "submodule15.constant193", shape: Some(&[8, 128]), source: Param("encoder.layers.10.self_attn.pos_bias_u", Copy) },
    Weight { path: "submodule15.constant194", shape: Some(&[8, 128]), source: Param("encoder.layers.10.self_attn.pos_bias_v", Copy) },
    Weight { path: "submodule15.conv1d28.weight", shape: Some(&[2048, 1024, 1]), source: Param("encoder.layers.9.conv.pointwise_conv1.weight", Copy) },
    Weight { path: "submodule15.conv1d29.weight", shape: Some(&[1024, 1, 9]), source: Param("encoder.layers.9.conv.depthwise_conv.weight", Copy) },
    Weight { path: "submodule15.conv1d30.weight", shape: Some(&[1024, 1024, 1]), source: Param("encoder.layers.9.conv.pointwise_conv2.weight", Copy) },
    Weight { path: "submodule15.layernormalization57.beta", shape: Some(&[1024]), source: Param("encoder.layers.9.norm_conv.bias", Copy) },
    Weight { path: "submodule15.layernormalization57.gamma", shape: Some(&[1024]), source: Param("encoder.layers.9.norm_conv.weight", Copy) },
    Weight { path: "submodule15.layernormalization58.beta", shape: Some(&[1024]), source: Param("encoder.layers.9.conv.batch_norm.bias", Copy) },
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