def can_implement(
        dtype, head_dim, head_dim_v, m_block_size, n_block_size, num_stages, num_threads, is_causal,
        Q_in_regs=False
    ) -> 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 n_block_size: n block size
        :type n_block_size: int
        :param num_threads: number of threads
        :type num_threads: int
        :param is_causal: is causal
        :type is_causal: bool

        :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 head_dim_v % 8 != 0:
            return False
        if n_block_size % 16 != 0:
            return False
        if num_threads % 32 != 0:
            return False
        # Check if block size setting is out of shared memory capacity
        # Shared memory usage: Q tile + (K tile + V tile) where K and V use the same tile size
        smem_usage_Q = m_block_size * head_dim * 2
        smem_usage_K = n_block_size * head_dim * num_stages * 2
        smem_usage_V = n_block_size * head_dim_v * num_stages * 2
        smem_usage_QV = (smem_usage_Q + smem_usage_V) if not Q_in_regs else max(smem_usage_Q, smem_usage_V)
        smem_usage = smem_usage_QV + smem_usage_K
        # TODO: sm86 and sm89
        smem_capacity = sm80_utils_basic.SMEM_CAPACITY["sm80"]
        if smem_usage > smem_capacity:
            return False
        # Check if twice the block size is divisible by the number of threads
        if (m_block_size * 2) % num_threads != 0:
            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 n_block_size: n block size
        :type n_block_size: int
        :param num_threads: number of threads
        :type num_threads: int
        :param is_causal: is causal
        :type is_causal: bool

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