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@sunggg sunggg commented Jul 5, 2023

This PR introduces an utility pass that binds symbolic variables to user-provided integer values.
For example, say we have a following IRModule.

@tvm.script.ir_module
class Before:
  @R.function
  def main(
    x: R.Tensor(("m", "n")),
    y: R.Tensor(("m", "n"))
   ) -> R.Tensor(("m", "n")):
      m = T.Var("m", "int64")
      n = T.Var("m", "int64")
      with R.dataflow():
        out = R.matmul(x, y)
        R.output(out)
      return out

We can conveniently bind the symbolic variable by applying After = relax.transform.BindSymVars("main", {"m": 10, "n": 10})(Before).

@tvm.script.ir_module
class After:
  @R.function
  def main(
    x: R.Tensor((10, 10)),
    y: R.Tensor((10, 10))
   ) -> R.Tensor((10, 10)):
      with R.dataflow():
        out = R.matmul(x, y)
        R.output(out)
      return out

This would be useful when specializing shape and providing compile-time shape info (e.g., model params or batch sizes) by eliminating the need to rewrite the model.
cc. @tqchen @psrivas2

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@sunggg sunggg changed the title [Unity][Pass] BindSymVar pass [Unity][Pass] BindSymVar pass Jul 5, 2023
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sunggg commented Jul 13, 2023

@tvm-bot rerun

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Details
Traceback (most recent call last):
  File "ci/scripts/github/github_tvmbot.py", line 594, in comment_failure
    raise item
  File "ci/scripts/github/github_tvmbot.py", line 700, in run
    pr.rerun_jenkins_ci()
  File "ci/scripts/github/github_tvmbot.py", line 553, in rerun_jenkins_ci
    post(url, auth=("tvm-bot", TVM_BOT_JENKINS_TOKEN))
  File "/home/runner/work/tvm/tvm/ci/scripts/jenkins/git_utils.py", line 53, in post
    with request.urlopen(req, data) as response:
  File "/usr/lib/python3.8/urllib/request.py", line 222, in urlopen
    return opener.open(url, data, timeout)
  File "/usr/lib/python3.8/urllib/request.py", line 531, in open
    response = meth(req, response)
  File "/usr/lib/python3.8/urllib/request.py", line 640, in http_response
    response = self.parent.error(
  File "/usr/lib/python3.8/urllib/request.py", line 569, in error
    return self._call_chain(*args)
  File "/usr/lib/python3.8/urllib/request.py", line 502, in _call_chain
    result = func(*args)
  File "/usr/lib/python3.8/urllib/request.py", line 649, in http_error_default
    raise HTTPError(req.full_url, code, msg, hdrs, fp)
urllib.error.HTTPError: HTTP Error 500: Server Error

with response


  
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cyx-6 and others added 5 commits July 14, 2023 13:17
This PR introduces the operator root mean square, `rms_norm`, into TOPI and relax, and its legalize transform.
* allow capturing input parameters in a cuda graph

* remove unnecessary cudaGraphLaunch

* support cuda graph for cutlass

* add test

* add test for cutlass

* revert LiftTransformParams change

* comment

* update test

* update builtin

* update

* delete exec properly

* run cuda graph twice in the test to make sure cached launch works
This PR adds these features to the gradient system:
- Checkpointing for gradient pass
    - `tvm.relax.testing.nn.checkpoint`
    - `tvm.relax.op.grad.start_checkpoint` and `tvm.relax.op.grad.start_checkpoint`
    - Support in the Gradient pass
- Fix several minor problems in op_gradient
…casting (apache#15330)

This PR fixes a bug of the previous decode-GeMV dlight scheduling.

Previously, when the inner dimension of the largest tensor is spatial,
in the end the fused epilogue block was not bound to any thread axis,
which is wrong and will generate wrong GPU code with wrong numerical
results. That is because after doing reverse-compute-at of the epilogue
block, there are at lease one remaining spatial axis, and such axis
is supposed to be bound to threadIdx.

This PR fixes this issue, and add three test cases which can cover
both the reduction-inner and spatial-inner cases with or without
broadcasting.
@sunggg
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sunggg commented Aug 10, 2023

Closed as it is merged with another PR #15509

@sunggg sunggg closed this Aug 10, 2023
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6 participants