[GitHub] [tvm] zhuwenxi edited a comment on issue #7246: [BUG][Tensorize] race condition when using "tvm.tir.call_packed()" in a parallel schedule.

[GitBox <gi...@apache.org>]

zhuwenxi edited a comment on issue #7246:
URL: https://github.com/apache/tvm/issues/7246#issuecomment-784712542


   The function looks pretty much like the fix I proposed. In my proposal "reallocate the stack in parallel for loop", the function looks like this:
   <pre>
   fn myfunc() {
      stack_tcode = @tir.tvm_stack_alloca("arg_tcode", 8)
      stack_value = @tir.tvm_stack_alloca("arg_value", 8)
      for i in range(10):
          stack_tcode = @tir.tvm_stack_alloca("arg_tcode", 8)                 // Do reallocation if current loop is parallel
          stack_value = @tir.tvm_stack_alloca("arg_value", 8)                   // Do reallocation if current loop is parallel
          tir.tvm_call_packed_lowered("tvm.contrib.cblas.matmul", stack_1)
   }
   </pre>
   
   So if I understand correctly, the only difference between "packed_arg_alloca" and "tvm_stack_alloca" is the former one uses thread-local storage allocation?


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