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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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