[LTC] Code-gen mean.dim #67174

alanwaketan · 2021-10-25T06:45:19Z

Summary:
Code-generated mean.dim and mean.out which is the out variant.

Test Plan:
lazy_tensor_core/test/cpp/build/test_ptltc --gtest_filter=AtenLtcTsTensorTest.TestMean*

Summary: Code-generated mean.dim and mean.out which is the out variant. Test Plan: lazy_tensor_core/test/cpp/build/test_ptltc --gtest_filter=AtenLtcTsTensorTest.TestMean*

pytorch-probot · 2021-10-25T06:45:22Z

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facebook-github-bot · 2021-10-25T06:45:24Z

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💊 CI failures summary and remediations

As of commit 117ab94 (more details on the Dr. CI page):

2/2 failures introduced in this PR

🕵️ 2 new failures recognized by patterns

The following CI failures do not appear to be due to upstream breakages:

linux-xenial-py3.6-gcc5.4 / test (backwards_compat, 1, 1, linux.2xlarge) (1/2)

Step: "Test" (full log | diagnosis details | 🔁 rerun)

2021-10-25T07:02:14.8819115Z The PR is introduc...m to confirm whether this change is wanted or not.

2021-10-25T07:02:14.8806042Z processing existing schema:  alltoall_base(__torch__.torch.classes.dist_c10d.ProcessGroup _0, Tensor _1, Tensor _2, int[] _3, int[] _4) -> (__torch__.torch.classes.dist_c10d.Work _0)
2021-10-25T07:02:14.8807400Z processing existing schema:  alltoall(__torch__.torch.classes.dist_c10d.ProcessGroup _0, Tensor[] _1, Tensor[] _2) -> (__torch__.torch.classes.dist_c10d.Work _0)
2021-10-25T07:02:14.8808699Z processing existing schema:  send(__torch__.torch.classes.dist_c10d.ProcessGroup _0, Tensor[] _1, int _2, int _3) -> (__torch__.torch.classes.dist_c10d.Work _0)
2021-10-25T07:02:14.8809991Z processing existing schema:  recv(__torch__.torch.classes.dist_c10d.ProcessGroup _0, Tensor[] _1, int _2, int _3) -> (__torch__.torch.classes.dist_c10d.Work _0)
2021-10-25T07:02:14.8811296Z processing existing schema:  recv_anysource(__torch__.torch.classes.dist_c10d.ProcessGroup _0, Tensor[] _1, int _2) -> (__torch__.torch.classes.dist_c10d.Work _0)
2021-10-25T07:02:14.8812564Z processing existing schema:  barrier(__torch__.torch.classes.dist_c10d.ProcessGroup _0) -> (__torch__.torch.classes.dist_c10d.Work _0)
2021-10-25T07:02:14.8813632Z processing existing schema:  __init__(__torch__.torch.classes.dist_c10d.frontend _0) -> (NoneType _0)
2021-10-25T07:02:14.8815030Z processing existing schema:  new_process_group_helper(__torch__.torch.classes.dist_c10d.frontend _0, int _1, int _2, int[] _3, str _4, __torch__.torch.classes.dist_c10d.Store _5, str? _6, int _7) -> (__torch__.torch.classes.dist_c10d.ProcessGroup _0)
2021-10-25T07:02:14.8816588Z processing existing schema:  get_process_group_by_name(__torch__.torch.classes.dist_c10d.frontend _0, str _1) -> (__torch__.torch.classes.dist_c10d.ProcessGroup _0)
2021-10-25T07:02:14.8817961Z processing existing schema:  get_name_of_process_group(__torch__.torch.classes.dist_c10d.frontend _0, __torch__.torch.classes.dist_c10d.ProcessGroup _1) -> (str _0)
2021-10-25T07:02:14.8819115Z The PR is introducing backward incompatible changes to the operator library. Please contact PyTorch team to confirm whether this change is wanted or not. 
2021-10-25T07:02:14.8819715Z 
2021-10-25T07:02:14.8819975Z Broken ops: [
2021-10-25T07:02:14.8820597Z 	aten::_torch_cuda_cu_linker_symbol_op(Tensor self) -> (Tensor)
2021-10-25T07:02:14.8821477Z 	aten::_histogramdd_from_bin_tensors(Tensor self, Tensor[] bins, *, Tensor? weight=None, bool density=False) -> (Tensor)
2021-10-25T07:02:14.8822539Z 	aten::_histogramdd_bin_edges(Tensor self, int[] bins, *, float[]? range=None, Tensor? weight=None, bool density=False) -> (Tensor[])
2021-10-25T07:02:14.8823645Z 	aten::_histogramdd_from_bin_cts(Tensor self, int[] bins, *, float[]? range=None, Tensor? weight=None, bool density=False) -> (Tensor)
2021-10-25T07:02:14.8824193Z ]
2021-10-25T07:02:14.8824450Z + cleanup
2021-10-25T07:02:14.8824717Z + retcode=1
2021-10-25T07:02:14.8824990Z + set +x

Test tools / test (2/2)

Step: "Test tools" (full log | diagnosis details | 🔁 rerun)

2021-10-25T06:54:38.1735021Z AssertionError: 'x...ck (most recent call last):\n Fil[154 chars]\'\n'

2021-10-25T06:54:38.1725013Z   File "/opt/hostedtoolcache/Python/3.10.0/x64/lib/python3.10/unittest/async_case.py", line 65, in _callTestMethod
2021-10-25T06:54:38.1725958Z     self._callMaybeAsync(method)
2021-10-25T06:54:38.1726944Z   File "/opt/hostedtoolcache/Python/3.10.0/x64/lib/python3.10/unittest/async_case.py", line 88, in _callMaybeAsync
2021-10-25T06:54:38.1728028Z     return self._asyncioTestLoop.run_until_complete(fut)
2021-10-25T06:54:38.1729138Z   File "/opt/hostedtoolcache/Python/3.10.0/x64/lib/python3.10/asyncio/base_events.py", line 641, in run_until_complete
2021-10-25T06:54:38.1730025Z     return future.result()
2021-10-25T06:54:38.1731018Z   File "/opt/hostedtoolcache/Python/3.10.0/x64/lib/python3.10/unittest/async_case.py", line 102, in _asyncioLoopRunner
2021-10-25T06:54:38.1732028Z     ret = await awaitable
2021-10-25T06:54:38.1732791Z   File "/home/runner/work/pytorch/pytorch/tools/test/test_actions_local_runner.py", line 187, in test_mypy
2021-10-25T06:54:38.1733673Z     self.assertEqual(expected, f.getvalue())
2021-10-25T06:54:38.1735021Z AssertionError: 'x my[29 chars]on)\ntorch/some_stubs.pyi:3:17: error: Incompa[788 chars]t]\n' != 'x my[29 chars]on)\nTraceback (most recent call last):\n  Fil[154 chars]\'\n'
2021-10-25T06:54:38.1735998Z   x mypy (skipped typestub generation)
2021-10-25T06:54:38.1736588Z + Traceback (most recent call last):
2021-10-25T06:54:38.1737336Z +   File "/home/runner/work/pytorch/pytorch/tools/linter/mypy_wrapper.py", line 27, in <module>
2021-10-25T06:54:38.1738030Z +     import mypy.api
2021-10-25T06:54:38.1738780Z + ModuleNotFoundError: No module named 'mypy'
2021-10-25T06:54:38.1740033Z - torch/some_stubs.pyi:3:17: error: Incompatible types in assignment (expression has type "None", variable has type "str")  [assignment]
2021-10-25T06:54:38.1741550Z - torch/some_stubs.pyi:4:17: error: Incompatible types in assignment (expression has type "float", variable has type "str")  [assignment]
2021-10-25T06:54:38.1743087Z - torch/some_cool_file.py:3:17: error: Incompatible types in assignment (expression has type "None", variable has type "str")  [assignment]
2021-10-25T06:54:38.1744893Z - torch/some_cool_file.py:4:17: error: Incompatible types in assignment (expression has type "float", variable has type "str")  [assignment]
2021-10-25T06:54:38.1746765Z - caffe2/some_cool_file.py:3:17: error: Incompatible types in assignment (expression has type "None", variable has type "str")  [assignment]

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alanwaketan · 2021-10-25T17:23:27Z

Thanks @wconstab for approving the PR. Merged.

[LTC] Code-gen mean.dim

117ab94

Summary: Code-generated mean.dim and mean.out which is the out variant. Test Plan: lazy_tensor_core/test/cpp/build/test_ptltc --gtest_filter=AtenLtcTsTensorTest.TestMean*

pytorch-probot bot added the ciflow/default label Oct 25, 2021

facebook-github-bot added the cla signed label Oct 25, 2021

alanwaketan requested a review from wconstab October 25, 2021 06:45

wconstab approved these changes Oct 25, 2021

View reviewed changes

alanwaketan merged commit 7a2d072 into lazy_tensor_staging Oct 25, 2021

alanwaketan deleted the alanwaketan/mean branch October 25, 2021 17:23

alanwaketan mentioned this pull request Oct 25, 2021

[LTC] Code-gen IRs and TorchScript lowerings needed by running full TorchBench #65576

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ramiro050 mentioned this pull request Oct 27, 2021

Push for Bert, MaskRCNN and Resnet-18 E2E support using Lazy Tensor Core llvm/torch-mlir#365

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💊 CI failures summary and remediations

🕵️ 2 new failures recognized by patterns

linux-xenial-py3.6-gcc5.4 / test (backwards_compat, 1, 1, linux.2xlarge) (1/2)

Test tools / test (2/2)

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