Function tensor_data

include/engine/framework/modules/weight_binding.h:31–33

    float eps,
    assets::TensorStorageType storage_type = assets::TensorStorageType::F32) {
    const auto gamma = source.require_f32(prefix + ".weight", {channels});
    const auto beta = source.require_f32(prefix + ".bias", {channels});
    const auto mean = source.require_f32(prefix + ".running_mean", {channels});
    const auto variance = source.require_f32(prefix + ".running_var", {channels});
    std::vector<float> scale(static_cast<size_t>(channels)), bias(static_cast<size_t>(channels));
    for (size_t i = 0; i < scale.size(); ++i) {