use crate::burn_backend::onnx::{Source::*, Transform::*, Weight};
pub(crate) const WEIGHTS: &[Weight] = &[
Weight { path: "submodule1.constant423", shape: Some(&[1]), source: Param("scalar_tensor_default_6", Copy) },
Weight { path: "submodule1.constant424", shape: Some(&[1]), source: Param("scalar_tensor_default_7", Copy) },
Weight { path: "submodule1.constant425", shape: Some(&[1]), source: Param("scalar_tensor_default_8", Copy) },
Weight { path: "submodule1.constant696", shape: Some(&[1, 33]), source: ConstI64(&[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32]) },
Weight { path: "submodule1.constant699", shape: Some(&[1, 17]), source: ConstI64(&[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]) },
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: "submodule1.conv2d2.bias", shape: Some(&[256]), source: Param("encoder.pre_encode.conv.2.bias", Copy) },
Weight { path: "submodule1.conv2d2.weight", shape: Some(&[256, 1, 3, 3]), source: Param("encoder.pre_encode.conv.2.weight", Copy) },
Weight { path: "submodule1.conv2d3.bias", shape: Some(&[256]), source: Param("encoder.pre_encode.conv.3.bias", Copy) },
Weight { path: "submodule1.conv2d3.weight", shape: Some(&[256, 256, 1, 1]), source: Param("encoder.pre_encode.conv.3.weight", Copy) },
Weight { path: "submodule1.conv2d4.bias", shape: Some(&[256]), source: Param("encoder.pre_encode.conv.5.bias", Copy) },
Weight { path: "submodule1.conv2d4.weight", shape: Some(&[256, 1, 3, 3]), source: Param("encoder.pre_encode.conv.5.weight", Copy) },
Weight { path: "submodule10.constant142", shape: Some(&[8, 128]), source: Param("encoder.layers.7.self_attn.pos_bias_u", Copy) },
Weight { path: "submodule10.constant143", shape: Some(&[8, 128]), source: Param("encoder.layers.7.self_attn.pos_bias_v", Copy) },
Weight { path: "submodule10.conv1d22.weight", shape: Some(&[2048, 1024, 1]), source: Param("encoder.layers.7.conv.pointwise_conv1.weight", Copy) },
Weight { path: "submodule10.conv1d23.weight", shape: Some(&[1024, 1, 9]), source: Param("encoder.layers.7.conv.depthwise_conv.weight", Copy) },
Weight { path: "submodule10.conv1d24.weight", shape: Some(&[1024, 1024, 1]), source: Param("encoder.layers.7.conv.pointwise_conv2.weight", Copy) },
Weight { path: "submodule10.layernormalization41.beta", shape: Some(&[1024]), source: Param("encoder.layers.6.norm_feed_forward2.bias", Copy) },
Weight { path: "submodule10.layernormalization41.gamma", shape: Some(&[1024]), source: Param("encoder.layers.6.norm_feed_forward2.weight", Copy) },
Weight { path: "submodule10.layernormalization42.beta", shape: Some(&[1024]), source: Param("encoder.layers.6.norm_out.bias", Copy) },
Weight { path: "submodule10.layernormalization42.gamma", shape: Some(&[1024]), source: Param("encoder.layers.6.norm_out.weight", Copy) },
Weight { path: "submodule10.layernormalization43.beta", shape: Some(&[1024]), source: Param("encoder.layers.7.norm_feed_forward1.bias", Copy) },
Weight { path: "submodule10.layernormalization43.gamma", shape: Some(&[1024]), source: Param("encoder.layers.7.norm_feed_forward1.weight", Copy) },
Weight { path: "submodule10.layernormalization44.beta", shape: Some(&[1024]), source: Param("encoder.layers.7.norm_self_att.bias", Copy) },
Weight { path: "submodule10.layernormalization44.gamma", shape: Some(&[1024]), source: Param("encoder.layers.7.norm_self_att.weight", Copy) },
Weight { path: "submodule10.layernormalization45.beta", shape: Some(&[1024]), source: Param("encoder.layers.7.norm_conv.bias", Copy) },
Weight { path: "submodule10.layernormalization45.gamma", shape: Some(&[1024]), source: Param("encoder.layers.7.norm_conv.weight", Copy) },
Weight { path: "submodule10.layernormalization46.beta", shape: Some(&[1024]), source: Param("encoder.layers.7.conv.batch_norm.bias", Copy) },
Weight { path: "submodule10.layernormalization46.gamma", shape: Some(&[1024]), source: Param("encoder.layers.7.conv.batch_norm.weight", Copy) },
Weight { path: "submodule10.linear63.weight", shape: Some(&[1024, 4096]), source: Param("val_1265", Copy) },
Weight { path: "submodule10.linear64.weight", shape: Some(&[4096, 1024]), source: Param("val_1267", Copy) },
Weight { path: "submodule10.linear65.weight", shape: Some(&[1024, 4096]), source: Param("val_1272", Copy) },
Weight { path: "submodule10.linear66.weight", shape: Some(&[4096, 1024]), source: Param("val_1274", Copy) },
Weight { path: "submodule10.linear67.weight", shape: Some(&[1024, 1024]), source: Param("val_1293", Copy) },
Weight { path: "submodule10.linear68.weight", shape: Some(&[1024, 1024]), source: Param("val_1300", Copy) },
Weight { path: "submodule10.linear69.weight", shape: Some(&[1024, 1024]), source: Param("val_1307", Copy) },
Weight { path: "submodule10.linear70.weight", shape: Some(&[1024, 1024]), source: Param("val_1314", Copy) },
Weight { path: "submodule10.linear71.weight", shape: Some(&[1024, 1024]), source: Param("val_1373", Copy) },
Weight { path: "submodule11.constant159", shape: Some(&[8, 128]), source: Param("encoder.layers.8.self_attn.pos_bias_u", Copy) },
Weight { path: "submodule11.constant160", shape: Some(&[8, 128]), source: Param("encoder.layers.8.self_attn.pos_bias_v", Copy) },
Weight { path: "submodule11.conv1d25.weight", shape: Some(&[2048, 1024, 1]), source: Param("encoder.layers.8.conv.pointwise_conv1.weight", Copy) },
Weight { path: "submodule11.conv1d26.weight", shape: Some(&[1024, 1, 9]), source: Param("encoder.layers.8.conv.depthwise_conv.weight", Copy) },
Weight { path: "submodule11.conv1d27.weight", shape: Some(&[1024, 1024, 1]), source: Param("encoder.layers.8.conv.pointwise_conv2.weight", Copy) },
Weight { path: "submodule11.layernormalization47.beta", shape: Some(&[1024]), source: Param("encoder.layers.7.norm_feed_forward2.bias", Copy) },
Weight { path: "submodule11.layernormalization47.gamma", shape: Some(&[1024]), source: Param("encoder.layers.7.norm_feed_forward2.weight", Copy) },
Weight { path: "submodule11.layernormalization48.beta", shape: Some(&[1024]), source: Param("encoder.layers.7.norm_out.bias", Copy) },
Weight { path: "submodule11.layernormalization48.gamma", shape: Some(&[1024]), source: Param("encoder.layers.7.norm_out.weight", Copy) },
Weight { path: "submodule11.layernormalization49.beta", shape: Some(&[1024]), source: Param("encoder.layers.8.norm_feed_forward1.bias", Copy) },
Weight { path: "submodule11.layernormalization49.gamma", shape: Some(&[1024]), source: Param("encoder.layers.8.norm_feed_forward1.weight", Copy) },
Weight { path: "submodule11.layernormalization50.beta", shape: Some(&[1024]), source: Param("encoder.layers.8.norm_self_att.bias", Copy) },
Weight { path: "submodule11.layernormalization50.gamma", shape: Some(&[1024]), source: Param("encoder.layers.8.norm_self_att.weight", Copy) },
Weight { path: "submodule11.layernormalization51.beta", shape: Some(&[1024]), source: Param("encoder.layers.8.norm_conv.bias", Copy) },
Weight { path: "submodule11.layernormalization51.gamma", shape: Some(&[1024]), source: Param("encoder.layers.8.norm_conv.weight", Copy) },
Weight { path: "submodule11.layernormalization52.beta", shape: Some(&[1024]), source: Param("encoder.layers.8.conv.batch_norm.bias", Copy) },
Weight { path: "submodule11.layernormalization52.gamma", shape: Some(&[1024]), source: Param("encoder.layers.8.conv.batch_norm.weight", Copy) },
Weight { path: "submodule11.linear72.weight", shape: Some(&[1024, 4096]), source: Param("val_1408", Copy) },
Weight { path: "submodule11.linear73.weight", shape: Some(&[4096, 1024]), source: Param("val_1410", Copy) },
Weight { path: "submodule11.linear74.weight", shape: Some(&[1024, 4096]), source: Param("val_1415", Copy) },
Weight { path: "submodule11.linear75.weight", shape: Some(&[4096, 1024]), source: Param("val_1417", Copy) },
Weight { path: "submodule11.linear76.weight", shape: Some(&[1024, 1024]), source: Param("val_1436", Copy) },
Weight { path: "submodule11.linear77.weight", shape: Some(&[1024, 1024]), source: Param("val_1443", Copy) },
Weight { path: "submodule11.linear78.weight", shape: Some(&[1024, 1024]), source: Param("val_1450", Copy) },
Weight { path: "submodule11.linear79.weight", shape: Some(&[1024, 1024]), source: Param("val_1457", Copy) },
Weight { path: "submodule11.linear80.weight", shape: Some(&[1024, 1024]), source: Param("val_1516", Copy) },
Weight { path: "submodule12.constant176", shape: Some(&[8, 128]), source: Param("encoder.layers.9.self_attn.pos_bias_u", Copy) },
Weight { path: "submodule12.constant177", shape: Some(&[8, 128]), source: Param("encoder.layers.9.self_attn.pos_bias_v", Copy) },
Weight { path: "submodule12.conv1d28.weight", shape: Some(&[2048, 1024, 1]), source: Param("encoder.layers.9.conv.pointwise_conv1.weight", Copy) },
Weight { path: "submodule12.conv1d29.weight", shape: Some(&[1024, 1, 9]), source: Param("encoder.layers.9.conv.depthwise_conv.weight", Copy) },
Weight { path: "submodule12.conv1d30.weight", shape: Some(&[1024, 1024, 1]), source: Param("encoder.layers.9.conv.pointwise_conv2.weight", Copy) },
Weight { path: "submodule12.layernormalization53.beta", shape: Some(&[1024]), source: Param("encoder.layers.8.norm_feed_forward2.bias", Copy) },
Weight { path: "submodule12.layernormalization53.gamma", shape: Some(&[1024]), source: Param("encoder.layers.8.norm_feed_forward2.weight", Copy) },
Weight { path: "submodule12.layernormalization54.beta", shape: Some(&[1024]), source: Param("encoder.layers.8.norm_out.bias", Copy) },
Weight { path: "submodule12.layernormalization54.gamma", shape: Some(&[1024]), source: Param("encoder.layers.8.norm_out.weight", Copy) },
Weight { path: "submodule12.layernormalization55.beta", shape: Some(&[1024]), source: Param("encoder.layers.9.norm_feed_forward1.bias", Copy) },
Weight { path: "submodule12.layernormalization55.gamma", shape: Some(&[1024]), source: Param("encoder.layers.9.norm_feed_forward1.weight", Copy) },
Weight { path: "submodule12.layernormalization56.beta", shape: Some(&[1024]), source: Param("encoder.layers.9.norm_self_att.bias", Copy) },
Weight { path: "submodule12.layernormalization56.gamma", shape: Some(&[1024]), source: Param("encoder.layers.9.norm_self_att.weight", Copy) },
Weight { path: "submodule12.layernormalization57.beta", shape: Some(&[1024]), source: Param("encoder.layers.9.norm_conv.bias", Copy) },
Weight { path: "submodule12.layernormalization57.gamma", shape: Some(&[1024]), source: Param("encoder.layers.9.norm_conv.weight", Copy) },
Weight { path: "submodule12.layernormalization58.beta", shape: Some(&[1024]), source: Param("encoder.layers.9.conv.batch_norm.bias", Copy) },
Weight { path: "submodule12.layernormalization58.gamma", shape: Some(&[1024]), source: Param("encoder.layers.9.conv.batch_norm.weight", Copy) },
Weight { path: "submodule12.linear81.weight", shape: Some(&[1024, 4096]), source: Param("val_1551", Copy) },
Weight { path: "submodule12.linear82.weight", shape: Some(&[4096, 1024]), source: Param("val_1553", Copy) },
Weight { path: "submodule12.linear83.weight", shape: Some(&[1024, 4096]), source: Param("val_1559", Copy) },
Weight { path: "submodule12.linear84.weight", shape: Some(&[4096, 1024]), source: Param("val_1561", Copy) },
Weight { path: "submodule12.linear85.weight", shape: Some(&[1024, 1024]), source: Param("val_1580", Copy) },
Weight { path: "submodule12.linear86.weight", shape: Some(&[1024, 1024]), source: Param("val_1587", Copy) },
Weight { path: "submodule12.linear87.weight", shape: Some(&[1024, 1024]), source: Param("val_1594", Copy) },
Weight { path: "submodule12.linear88.weight", shape: Some(&[1024, 1024]), source: Param("val_1601", Copy) },
Weight { path: "submodule12.linear89.weight", shape: Some(&[1024, 1024]), source: Param("val_1660", Copy) },
Weight { path: "submodule13.constant193", shape: Some(&[8, 128]), source: Param("encoder.layers.10.self_attn.pos_bias_u", Copy) },
Weight { path: "submodule13.constant194", shape: Some(&[8, 128]), source: Param("encoder.layers.10.self_attn.pos_bias_v", Copy) },
Weight { path: "submodule13.conv1d31.weight", shape: Some(&[2048, 1024, 1]), source: Param("encoder.layers.10.conv.pointwise_conv1.weight", Copy) },
Weight { path: "submodule13.conv1d32.weight", shape: Some(&[1024, 1, 9]), source: Param("encoder.layers.10.conv.depthwise_conv.weight", Copy) },
Weight { path: "submodule13.conv1d33.weight", shape: Some(&[1024, 1024, 1]), source: Param("encoder.layers.10.conv.pointwise_conv2.weight", Copy) },
Weight { path: "submodule13.layernormalization59.beta", shape: Some(&[1024]), source: Param("encoder.layers.9.norm_feed_forward2.bias", Copy) },
Weight { path: "submodule13.layernormalization59.gamma", shape: Some(&[1024]), source: Param("encoder.layers.9.norm_feed_forward2.weight", Copy) },
Weight { path: "submodule13.layernormalization60.beta", shape: Some(&[1024]), source: Param("encoder.layers.9.norm_out.bias", Copy) },
Weight { path: "submodule13.layernormalization60.gamma", shape: Some(&[1024]), source: Param("encoder.layers.9.norm_out.weight", Copy) },
Weight { path: "submodule13.layernormalization61.beta", shape: Some(&[1024]), source: Param("encoder.layers.10.norm_feed_forward1.bias", Copy) },
Weight { path: "submodule13.layernormalization61.gamma", shape: Some(&[1024]), source: Param("encoder.layers.10.norm_feed_forward1.weight", Copy) },
Weight { path: "submodule13.layernormalization62.beta", shape: Some(&[1024]), source: Param("encoder.layers.10.norm_self_att.bias", Copy) },
Weight { path: "submodule13.layernormalization62.gamma", shape: Some(&[1024]), source: Param("encoder.layers.10.norm_self_att.weight", Copy) },
Weight { path: "submodule13.layernormalization63.beta", shape: Some(&[1024]), source: Param("encoder.layers.10.norm_conv.bias", Copy) },
Weight { path: "submodule13.layernormalization63.gamma", shape: Some(&[1024]), source: Param("encoder.layers.10.norm_conv.weight", Copy) },
Weight { path: "submodule13.layernormalization64.beta", shape: Some(&[1024]), source: Param("encoder.layers.10.conv.batch_norm.bias", Copy) },
Weight { path: "submodule13.layernormalization64.gamma", shape: Some(&[1024]), source: Param("encoder.layers.10.conv.batch_norm.weight", Copy) },
Weight { path: "submodule13.linear90.weight", shape: Some(&[1024, 4096]), source: Param("val_1695", Copy) },
Weight { path: "submodule13.linear91.weight", shape: Some(&[4096, 1024]), source: Param("val_1697", Copy) },
Weight { path: "submodule13.linear92.weight", shape: Some(&[1024, 4096]), source: Param("val_1702", Copy) },
Weight { path: "submodule13.linear93.weight", shape: Some(&[4096, 1024]), source: Param("val_1704", Copy) },
Weight { path: "submodule13.linear94.weight", shape: Some(&[1024, 1024]), source: Param("val_1723", Copy) },
Weight { path: "submodule13.linear95.weight", shape: Some(&[1024, 1024]), source: Param("val_1730", Copy) },
Weight { path: "submodule13.linear96.weight", shape: Some(&[1024, 1024]), source: Param("val_1737", Copy) },
Weight { path: "submodule13.linear97.weight", shape: Some(&[1024, 1024]), source: Param("val_1744", Copy) },
Weight { path: "submodule13.linear98.weight", shape: Some(&[1024, 1024]), source: Param("val_1803", Copy) },
Weight { path: "submodule14.constant210", shape: Some(&[8, 128]), source: Param("encoder.layers.11.self_attn.pos_bias_u", Copy) },
Weight { path: "submodule14.constant211", shape: Some(&[8, 128]), source: Param("encoder.layers.11.self_attn.pos_bias_v", Copy) },
Weight { path: "submodule14.conv1d34.weight", shape: Some(&[2048, 1024, 1]), source: Param("encoder.layers.11.conv.pointwise_conv1.weight", Copy) },
Weight { path: "submodule14.conv1d35.weight", shape: Some(&[1024, 1, 9]), source: Param("encoder.layers.11.conv.depthwise_conv.weight", Copy) },
Weight { path: "submodule14.conv1d36.weight", shape: Some(&[1024, 1024, 1]), source: Param("encoder.layers.11.conv.pointwise_conv2.weight", Copy) },
Weight { path: "submodule14.layernormalization65.beta", shape: Some(&[1024]), source: Param("encoder.layers.10.norm_feed_forward2.bias", Copy) },
Weight { path: "submodule14.layernormalization65.gamma", shape: Some(&[1024]), source: Param("encoder.layers.10.norm_feed_forward2.weight", Copy) },
Weight { path: "submodule14.layernormalization66.beta", shape: Some(&[1024]), source: Param("encoder.layers.10.norm_out.bias", Copy) },
Weight { path: "submodule14.layernormalization66.gamma", shape: Some(&[1024]), source: Param("encoder.layers.10.norm_out.weight", Copy) },
Weight { path: "submodule14.layernormalization67.beta", shape: Some(&[1024]), source: Param("encoder.layers.11.norm_feed_forward1.bias", Copy) },
Weight { path: "submodule14.layernormalization67.gamma", shape: Some(&[1024]), source: Param("encoder.layers.11.norm_feed_forward1.weight", Copy) },
Weight { path: "submodule14.layernormalization68.beta", shape: Some(&[1024]), source: Param("encoder.layers.11.norm_self_att.bias", Copy) },
Weight { path: "submodule14.layernormalization68.gamma", shape: Some(&[1024]), source: Param("encoder.layers.11.norm_self_att.weight", Copy) },
Weight { path: "submodule14.layernormalization69.beta", shape: Some(&[1024]), source: Param("encoder.layers.11.norm_conv.bias", Copy) },
Weight { path: "submodule14.layernormalization69.gamma", shape: Some(&[1024]), source: Param("encoder.layers.11.norm_conv.weight", Copy) },
Weight { path: "submodule14.layernormalization70.beta", shape: Some(&[1024]), source: Param("encoder.layers.11.conv.batch_norm.bias", Copy) },
Weight { path: "submodule14.layernormalization70.gamma", shape: Some(&[1024]), source: Param("encoder.layers.11.conv.batch_norm.weight", Copy) },
Weight { path: "submodule14.linear100.weight", shape: Some(&[4096, 1024]), source: Param("val_1840", Copy) },
Weight { path: "submodule14.linear101.weight", shape: Some(&[1024, 4096]), source: Param("val_1846", Copy) },
Weight { path: "submodule14.linear102.weight", shape: Some(&[4096, 1024]), source: Param("val_1848", Copy) },
Weight { path: "submodule14.linear103.weight", shape: Some(&[1024, 1024]), source: Param("val_1867", Copy) },
Weight { path: "submodule14.linear104.weight", shape: Some(&[1024, 1024]), source: Param("val_1874", Copy) },
Weight { path: "submodule14.linear105.weight", shape: Some(&[1024, 1024]), source: Param("val_1881", Copy) },
Weight { path: "submodule14.linear106.weight", shape: Some(&[1024, 1024]), source: Param("val_1888", Copy) },
Weight { path: "submodule14.linear107.weight", shape: Some(&[1024, 1024]), source: Param("val_1947", Copy) },
Weight { path: "submodule14.linear99.weight", shape: Some(&[1024, 4096]), source: Param("val_1838", Copy) },
Weight { path: "submodule15.constant227", shape: Some(&[8, 128]), source: Param("encoder.layers.12.self_attn.pos_bias_u", Copy) },
Weight { path: "submodule15.constant228", shape: Some(&[8, 128]), source: Param("encoder.layers.12.self_attn.pos_bias_v", Copy) },
Weight { path: "submodule15.conv1d37.weight", shape: Some(&[2048, 1024, 1]), source: Param("encoder.layers.12.conv.pointwise_conv1.weight", Copy) },
Weight { path: "submodule15.conv1d38.weight", shape: Some(&[1024, 1, 9]), source: Param("encoder.layers.12.conv.depthwise_conv.weight", Copy) },
Weight { path: "submodule15.conv1d39.weight", shape: Some(&[1024, 1024, 1]), source: Param("encoder.layers.12.conv.pointwise_conv2.weight", Copy) },
Weight { path: "submodule15.layernormalization71.beta", shape: Some(&[1024]), source: Param("encoder.layers.11.norm_feed_forward2.bias", Copy) },
Weight { path: "submodule15.layernormalization71.gamma", shape: Some(&[1024]), source: Param("encoder.layers.11.norm_feed_forward2.weight", Copy) },
Weight { path: "submodule15.layernormalization72.beta", shape: Some(&[1024]), source: Param("encoder.layers.11.norm_out.bias", Copy) },
Weight { path: "submodule15.layernormalization72.gamma", shape: Some(&[1024]), source: Param("encoder.layers.11.norm_out.weight", Copy) },
Weight { path: "submodule15.layernormalization73.beta", shape: Some(&[1024]), source: Param("encoder.layers.12.norm_feed_forward1.bias", Copy) },
Weight { path: "submodule15.layernormalization73.gamma", shape: Some(&[1024]), source: Param("encoder.layers.12.norm_feed_forward1.weight", Copy) },
Weight { path: "submodule15.layernormalization74.beta", shape: Some(&[1024]), source: Param("encoder.layers.12.norm_self_att.bias", Copy) },
Weight { path: "submodule15.layernormalization74.gamma", shape: Some(&[1024]), source: Param("encoder.layers.12.norm_self_att.weight", Copy) },
Weight { path: "submodule15.layernormalization75.beta", shape: Some(&[1024]), source: Param("encoder.layers.12.norm_conv.bias", Copy) },
Weight { path: "submodule15.layernormalization75.gamma", shape: Some(&[1024]), source: Param("encoder.layers.12.norm_conv.weight", Copy) },
Weight { path: "submodule15.layernormalization76.beta", shape: Some(&[1024]), source: Param("encoder.layers.12.conv.batch_norm.bias", Copy) },
Weight { path: "submodule15.layernormalization76.gamma", shape: Some(&[1024]), source: Param("encoder.layers.12.conv.batch_norm.weight", Copy) },
Weight { path: "submodule15.linear108.weight", shape: Some(&[1024, 4096]), source: Param("val_1982", Copy) },
Weight { path: "submodule15.linear109.weight", shape: Some(&[4096, 1024]), source: Param("val_1984", Copy) },
Weight { path: "submodule15.linear110.weight", shape: Some(&[1024, 4096]), source: Param("val_1990", Copy) },
Weight { path: "submodule15.linear111.weight", shape: Some(&[4096, 1024]), source: Param("val_1992", Copy) },
Weight { path: "submodule15.linear112.weight", shape: Some(&[1024, 1024]), source: Param("val_2011", Copy) },
Weight { path: "submodule15.linear113.weight", shape: Some(&[1024, 1024]), source: Param("val_2018", Copy) },
Weight { path: "submodule15.linear114.weight", shape: Some(&[1024, 1024]), source: Param("val_2025", Copy) },
Weight { path: "submodule15.linear115.weight", shape: Some(&[1024, 1024]), source: Param("val_2032", Copy) },
Weight { path: "submodule15.linear116.weight", shape: Some(&[1024, 1024]), source: Param("val_2091", Copy) },
Weight { path: "submodule16.constant244", shape: Some(&[8, 128]), source: Param("encoder.layers.13.self_attn.pos_bias_u", Copy) },
Weight { path: "submodule16.constant245", shape: Some(&[8, 128]), source: Param("encoder.layers.13.self_attn.pos_bias_v", Copy) },
Weight { path: "submodule16.conv1d40.weight", shape: Some(&[2048, 1024, 1]), source: Param("encoder.layers.13.conv.pointwise_conv1.weight", Copy) },
Weight { path: "submodule16.conv1d41.weight", shape: Some(&[1024, 1, 9]), source: Param("encoder.layers.13.conv.depthwise_conv.weight", Copy) },
Weight { path: "submodule16.conv1d42.weight", shape: Some(&[1024, 1024, 1]), source: Param("encoder.layers.13.conv.pointwise_conv2.weight", Copy) },
Weight { path: "submodule16.layernormalization77.beta", shape: Some(&[1024]), source: Param("encoder.layers.12.norm_feed_forward2.bias", Copy) },
Weight { path: "submodule16.layernormalization77.gamma", shape: Some(&[1024]), source: Param("encoder.layers.12.norm_feed_forward2.weight", Copy) },
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