Function load_conv

src/models/qwen3_tts/tokenizer_speech_decoder.cpp:240–265

    config.num_semantic_quantizers = json::require_i64(decoder, "num_semantic_quantizers");
    config.sliding_window = json::require_i64(decoder, "sliding_window");
    config.head_dim = json::require_i64(decoder, "head_dim");
    config.rope_theta = json::optional_f32(decoder, "rope_theta", config.rope_theta);
    config.rms_norm_eps = json::optional_f32(decoder, "rms_norm_eps", config.rms_norm_eps);
    config.upsample_rates = json::require_i64_array(decoder, "upsample_rates");
    config.upsampling_ratios = json::require_i64_array(decoder, "upsampling_ratios");
    return config;
}

Conv1dWeights load_conv(
    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,
    int64_t stride = 1,
    int64_t dilation = 1,
    int64_t groups = 1,
    bool use_bias = true) {
    Conv1dWeights weights;
    weights.in_channels = in_channels;
    weights.out_channels = out_channels;
    weights.kernel = kernel;
    weights.stride = stride;
    weights.dilation = dilation;
    weights.groups = groups;
    weights.use_bias = use_bias;
    weights.weight = store.load_tensor(source, prefix + ".weight", storage_type, {out_channels, in_channels / groups, kernel});