def can_implement(dtype, head_dim, m_block_size, num_threads) -> bool:
        """Check if the kernel can be implemented with the given parameters.

        :param dtype: data type
        :type dtype: cutlass.Numeric
        :param head_dim: head dimension
        :type head_dim: int
        :param m_block_size: m block size
        :type m_block_size: int
        :param num_threads: number of threads
        :type num_threads: int

        :return: True if the kernel can be implemented, False otherwise
        :rtype: bool
        """
        if dtype not in [cutlass.Float16, cutlass.BFloat16]:
            return False
        if head_dim % 8 != 0:
            return False
        if num_threads % 32 != 0:
            return False
        if num_threads < m_block_size:  # For multiplying lse with log2
            return False
        return True
Check if the kernel can be implemented with the given parameters.

        :param dtype: data type
        :type dtype: cutlass.Numeric
        :param head_dim: head dimension
        :type head_dim: int
        :param m_block_size: m block size
        :type m_block_size: int
        :param num_threads: number of threads
        :type num_threads: int

        :return: True if the kernel can be implemented, False otherwise
        :rtype: bool
        
flash_attn/cute/flash_bwd_preprocess.py