Function load_weight_norm_conv_transpose1d

src/models/heartmula/codec.cpp:121–140

        weights.bias = store.load_f32_tensor(source, prefix + ".bias", {out_channels});
    }
    return weights;
}

modules::ConvTranspose1dWeights load_weight_norm_conv_transpose1d(
    core::BackendWeightStore & store,
    const assets::TensorSource & source,
    const std::string & prefix,
    assets::TensorStorageType storage_type,
    int64_t in_channels,
    int64_t out_channels,
    int64_t kernel_size,
    bool use_bias = true) {
    modules::ConvTranspose1dWeights weights;
    const auto shape = core::TensorShape::from_dims({in_channels, out_channels, kernel_size});
    weights.weight = store.make_from_f32(
        shape,
        storage_type,
        effective_weight_norm_dim0(source, prefix, {in_channels, out_channels, kernel_size}));
    if (use_bias) {
        weights.bias = store.load_f32_tensor(source, prefix + ".bias", {out_channels});
    }
    return weights;
}