[PR] [MetaSchedule] Fix a multilevel tiling error on dynamic relax workload [tvm]

["wrongtest-intellif (via GitHub)" <gi...@apache.org>]

wrongtest-intellif opened a new pull request, #17465:
URL: https://github.com/apache/tvm/pull/17465

   Below script would either segfault or report primitive error in `MetaScheduleTuneIRMod` with dynamic dim.
   
   ```python
   import tvm
   from tvm import relax
   from tvm.relax.frontend import nn
   from tvm.relax.transform import *
   
   class NNModule(nn.Module):
       def __init__(self):
           super().__init__()
           self.fc2 = nn.Linear(784, 128)
   
       def forward(self, x):
           x = self.fc2(x)
           return x
   
   mod, params = NNModule().export_tvm({"forward": {"x": nn.spec.Tensor(("n", 784), "float32")}})
   mod.show()
   
   # with tvm.target.Target("cuda -max_threads_per_block=4096 -max_shared_memory_per_block=8192 -arch=sm_70"):
   with tvm.target.Target("llvm -num-cores 32"):
       mod = LegalizeOps()(mod)
       mod = AnnotateTIROpPattern()(mod)
       mod = FoldConstant()(mod)
       mod = FuseOps()(mod)
       mod = FuseTIR()(mod)
       mod = MetaScheduleTuneIRMod({}, "myworkingdir", 3)(mod)
       application_pass = MetaScheduleApplyDatabase( "myworkingdir")
       mod = application_pass(mod)
       
   print(mod)
   m = relax.build(mod, target="llvm", pipeline="default_build")
   ```
   
   The change fix two related issues:
   
   1. `GetLoopIntExtent()` would return nullptr on non-const extent, thus the return value should check the nullity.
   
   2. `tir::SamplePerfectTile()` return -1 for dynamic factor part. While the `Split` primitive require None rv to denotes the dynamic dim inference. Thus it should handle this semantic gap in schedule interfaces.


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Re: [PR] [MetaSchedule] Fix a multilevel tiling error on dynamic relax workload [tvm]

["Hzfengsy (via GitHub)" <gi...@apache.org>]

Hzfengsy merged PR #17465:
URL: https://github.com/apache/tvm/pull/17465


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