Channel Normalization

    /**
     * @brief Implements a normalization step on tensors, where each channel is normalized given
     *        mean and standard deviation parameters for that channel.
     *
     * `x_norm = (x / 255 - mean) / stdev(x)`
     *
     * @tparam InShape The input tensor shape.
     * @tparam OutShape The output tensor shape.
     * @tparam ChannelInfoShape The tensor shape of mean and stdDev info.
     * @tparam OcmAllocatorType
     * @param tensorIn The input tensor.
     * @param tensorOut The output tensor.
     * @param means The tensor containing the mean info for each channel.
     * @param stdDevs The tensor containing the standard deviation info for each channel.
     * @param ocmMemAlloc OCM memory allocator.
     * @return void
     */
    template <typename InShape,
              typename OutShape,
              typename ChannelInfoShape,
              typename OcmAllocatorType,
              std::enable_if_t<isTensorT<ChannelInfoShape>::value == 1, int> = 0>
    INLINE void channelNorm(InShape&          tensorIn,
                            OutShape&         tensorOut,
                            ChannelInfoShape& means,
                            ChannelInfoShape& stdDevs,
                            OcmAllocatorType& ocmMemAlloc) {