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Posted to commits@tvm.apache.org by "Hzfengsy (via GitHub)" <gi...@apache.org> on 2025/07/09 03:04:17 UTC

Re: [PR] [Target] Support CUDA device function calls [tvm]

Hzfengsy commented on PR #18055:
URL: https://github.com/apache/tvm/pull/18055#issuecomment-3050957901

   @tqchen @Kathryn-cat I've updated a version to detect if a function is from hthe ost side and device side at an early stage (in BindTarget pass), here is an example of a mixture call to the same function
   
   ```python
   @I.ir_module
   class Module:
       @T.prim_func(private=True)
       def add(a: T.int32, b: T.int32) -> T.int32:
           return a + b
   
       @T.prim_func
       def main(
           A: T.Buffer((128, 128), "int32"),
           B: T.Buffer((128, 128), "int32"),
           C: T.Buffer((128, 128), "int32"),
       ):
           T.func_attr({"global_symbol": "main"})
           length: T.int32 = Module.add(64, 64)  # Call from host
           for bx in T.thread_binding(length, "blockIdx.x"):
               for tx in T.thread_binding(length, "threadIdx.x"):
                   C[bx, tx] = Module.add(A[bx, tx], B[bx, tx])  # Call from device
   ```
   
   Please review again when you have time


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