class_docstr: Buffer flattening may have indices based on GPU thread vars
class_docstr_tok: ["Buffer","flattening","may","have","indices","based","on","GPU","thread","vars"]
code: def before(
      A: T.Buffer((16, 16), "float32"), C: T.Buffer((16, 16), "float32")
  ):
      i0 = T.env_thread("blockIdx.x")
      i1 = T.env_thread("threadIdx.x")
      i2 = T.env_thread("vthread")
  
      T.launch_thread(i0, 4)
      T.launch_thread(i1, 2)
      T.launch_thread(i2, 2)
      B = T.decl_buffer([1, 16], "float32", scope="local")
      for j in range(0, 16):
          B[0, j] = A[i0 * 4 + i1 * 2 + i2, j] + 1.0
      for j in range(0, 16):
          C[i0 * 4 + i1 * 2 + i2, j] = B[0, j] * 2.0
  
imports: import tvm
  import tvm.testing
  from tvm import te
  from tvm.script import tir
label_desc: Use image node_id 1 for calling the TestGPU obj's underlying member method code with example usage: obj.before(A, C) without return types