code: def tma_warp_specialized_matmul_kernel(  #
      a_ptr,
      b_ptr,
      c_ptr,  #
      M,
      N,
      K,  #
      stride_am,
      stride_ak,  #
      stride_bk,
      stride_bn,  #
      stride_cm,
      stride_cn,  #
      BLOCK_M: tl.constexpr,
      BLOCK_N: tl.constexpr,
      BLOCK_K: tl.constexpr,  #
  ):
      tid = tl.program_id(axis=0)
      n_tiles = tl.cdiv(N, BLOCK_N)
      pid_m = tid // n_tiles
      pid_n = tid % n_tiles
  
      block_offset_m = pid_m * BLOCK_M
      block_offset_n = pid_n * BLOCK_N
      a_tile_ptr = tl.make_block_ptr(
          base=a_ptr,
          shape=(M, K),
          strides=(stride_am, stride_ak),
          offsets=(block_offset_m, 0),
          block_shape=(BLOCK_M, BLOCK_K),
          order=(1, 0),
      )
      b_tile_ptr = tl.make_block_ptr(
          base=b_ptr,
          shape=(K, N),
          strides=(stride_bk, stride_bn),
          offsets=(0, block_offset_n),
          block_shape=(BLOCK_K, BLOCK_N),
          order=(0, 1),
      )
  
      accumulator = tl.zeros((BLOCK_M, BLOCK_N), dtype=tl.float32)
  
      for k in range(0, K, BLOCK_K):
          a = tl.load(a_tile_ptr)
          b = tl.load(b_tile_ptr)
          accumulator += tl.dot(a, b)
          a_tile_ptr = tl.advance(a_tile_ptr, [0, BLOCK_K])
          b_tile_ptr = tl.advance(b_tile_ptr, [BLOCK_K, 0])
      accumulator = accumulator.to(c_ptr.dtype.element_ty)
  
      offs_cm = tl.arange(0, BLOCK_M) + pid_m * BLOCK_M
      offs_cn = tl.arange(0, BLOCK_N) + pid_n * BLOCK_N
  
      c_ptrs = (
          c_ptr
          + offs_cm[:, None] * stride_cm
          + offs_cn[None, :] * stride_cn
      )
      mask = (offs_cm < M)[:, None] & (offs_cn < N)[None, :]
      tl.store(c_ptrs, accumulator, mask=mask)
  
imports: import itertools
  import pytest
  import torch
  from torch.testing import assert_close
  import triton
  import triton.language
  from triton.runtime import driver
label_desc: Use image node_id 6 for calling a global function with example usage: tma_warp_specialized_matmul_kernel(a_ptr, b_ptr, c_ptr, M, N, K, stride_am, stride_ak, stride_bk, stride_bn, stride_cm, stride_cn, BLOCK_M, BLOCK_N, BLOCK_K) without return types