[release/1.10] Binary building without python fix (#66031) by n-v-k · Pull Request #66117 · pytorch/pytorch

n-v-k · 2021-10-05T09:12:41Z

Summary:
Fixes #66030

Pull Request resolved: #66031

Reviewed By: VitalyFedyunin

Differential Revision: D31356243

Pulled By: malfet

fbshipit-source-id: d1537bc65bbba5d6497ecb8db7160a397eca81fd

Summary: Fixes #66030 Pull Request resolved: #66031 Reviewed By: VitalyFedyunin Differential Revision: D31356243 Pulled By: malfet fbshipit-source-id: d1537bc65bbba5d6497ecb8db7160a397eca81fd

pytorch-probot · 2021-10-05T09:12:44Z

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Ruleset - File: https://github.com/n-v-k/pytorch/blob/50886c037b3b4c81eb80b2d9af68357d475002a2/.github/generated-ciflow-ruleset.json
PR ciflow labels: ciflow/default

Workflows	Labels (bold enabled)	Status
Triggered Workflows
linux-bionic-py3.6-clang9	`ciflow/all`, `ciflow/cpu`, `ciflow/default`, `ciflow/linux`, `ciflow/noarch`, `ciflow/xla`	✅ triggered
linux-bionic-py3.8-gcc9-coverage	`ciflow/all`, `ciflow/coverage`, `ciflow/cpu`, `ciflow/default`, `ciflow/linux`	✅ triggered
linux-xenial-cuda11.3-py3.6-gcc7	`ciflow/all`, `ciflow/cuda`, `ciflow/default`, `ciflow/linux`	✅ triggered
linux-xenial-py3.6-gcc5.4	`ciflow/all`, `ciflow/cpu`, `ciflow/default`, `ciflow/linux`	✅ triggered
linux-xenial-py3.6-gcc7-bazel-test	`ciflow/all`, `ciflow/bazel`, `ciflow/cpu`, `ciflow/default`, `ciflow/linux`	✅ triggered
win-vs2019-cpu-py3	`ciflow/all`, `ciflow/cpu`, `ciflow/default`, `ciflow/win`	✅ triggered
win-vs2019-cuda11.3-py3	`ciflow/all`, `ciflow/cuda`, `ciflow/default`, `ciflow/win`	✅ triggered
Skipped Workflows
libtorch-linux-xenial-cuda10.2-py3.6-gcc7	`ciflow/all`, `ciflow/cuda`, `ciflow/libtorch`, `ciflow/linux`	🚫 skipped
libtorch-linux-xenial-cuda11.3-py3.6-gcc7	`ciflow/all`, `ciflow/cuda`, `ciflow/libtorch`, `ciflow/linux`	🚫 skipped
linux-bionic-cuda10.2-py3.9-gcc7	`ciflow/all`, `ciflow/cuda`, `ciflow/linux`, `ciflow/slow`	🚫 skipped
linux-xenial-cuda10.2-py3.6-gcc7	`ciflow/all`, `ciflow/cuda`, `ciflow/linux`, `ciflow/slow`	🚫 skipped
parallelnative-linux-xenial-py3.6-gcc5.4	`ciflow/all`, `ciflow/cpu`, `ciflow/linux`	🚫 skipped
periodic-libtorch-linux-xenial-cuda11.1-py3.6-gcc7	`ciflow/all`, `ciflow/cuda`, `ciflow/libtorch`, `ciflow/linux`, `ciflow/scheduled`	🚫 skipped
periodic-linux-xenial-cuda11.1-py3.6-gcc7	`ciflow/all`, `ciflow/cuda`, `ciflow/linux`, `ciflow/scheduled`	🚫 skipped
periodic-win-vs2019-cuda11.1-py3	`ciflow/all`, `ciflow/cuda`, `ciflow/scheduled`, `ciflow/win`	🚫 skipped
puretorch-linux-xenial-py3.6-gcc5.4	`ciflow/all`, `ciflow/cpu`, `ciflow/linux`	🚫 skipped
win-vs2019-cuda10.2-py3	`ciflow/all`, `ciflow/cuda`, `ciflow/win`	🚫 skipped

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facebook-github-bot · 2021-10-05T09:12:46Z

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💊 CI failures summary and remediations

As of commit 50886c0 (more details on the Dr. CI page):

1/1 failures introduced in this PR

🕵️ 1 new failure 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) (1/1)

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

2021-10-05T09:29:15.1848026Z The PR is introduc...m to confirm whether this change is wanted or not.

2021-10-05T09:29:15.1831252Z 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)
2021-10-05T09:29:15.1832584Z processing existing schema:  alltoall(__torch__.torch.classes.dist_c10d.ProcessGroup _0, Tensor[] _1, Tensor[] _2) -> (__torch__.torch.classes.dist_c10d.Work _0)
2021-10-05T09:29:15.1833971Z processing existing schema:  send(__torch__.torch.classes.dist_c10d.ProcessGroup _0, Tensor[] _1, int _2, int _3) -> (__torch__.torch.classes.dist_c10d.Work _0)
2021-10-05T09:29:15.1835347Z processing existing schema:  recv(__torch__.torch.classes.dist_c10d.ProcessGroup _0, Tensor[] _1, int _2, int _3) -> (__torch__.torch.classes.dist_c10d.Work _0)
2021-10-05T09:29:15.1836636Z processing existing schema:  recv_anysource(__torch__.torch.classes.dist_c10d.ProcessGroup _0, Tensor[] _1, int _2) -> (__torch__.torch.classes.dist_c10d.Work _0)
2021-10-05T09:29:15.1838400Z processing existing schema:  barrier(__torch__.torch.classes.dist_c10d.ProcessGroup _0) -> (__torch__.torch.classes.dist_c10d.Work _0)
2021-10-05T09:29:15.1840136Z processing existing schema:  __init__(__torch__.torch.classes.dist_c10d.frontend _0) -> (NoneType _0)
2021-10-05T09:29:15.1842412Z 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)
2021-10-05T09:29:15.1844181Z processing existing schema:  get_process_group_by_name(__torch__.torch.classes.dist_c10d.frontend _0, str _1) -> (__torch__.torch.classes.dist_c10d.ProcessGroup _0)
2021-10-05T09:29:15.1846209Z processing existing schema:  get_name_of_process_group(__torch__.torch.classes.dist_c10d.frontend _0, __torch__.torch.classes.dist_c10d.ProcessGroup _1) -> (str _0)
2021-10-05T09:29:15.1848026Z The PR is introducing backward incompatible changes to the operator library. Please contact PyTorch team to confirm whether this change is wanted or not. 
2021-10-05T09:29:15.1848634Z 
2021-10-05T09:29:15.1848882Z Broken ops: [
2021-10-05T09:29:15.1849774Z 	aten::fft_ihfftn(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None) -> (Tensor)
2021-10-05T09:29:15.1851151Z 	aten::fft_ihfftn.out(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> (Tensor(a!))
2021-10-05T09:29:15.1852069Z 	aten::special_softmax(Tensor self, int dim, int? dtype=None) -> (Tensor)
2021-10-05T09:29:15.1852935Z 	aten::fft_hfftn(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None) -> (Tensor)
2021-10-05T09:29:15.1853884Z 	aten::fft_hfftn.out(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> (Tensor(a!))
2021-10-05T09:29:15.1855113Z 	aten::fft_ihfft2(Tensor self, int[1]? s=None, int[1] dim=[-2, -1], str? norm=None) -> (Tensor)
2021-10-05T09:29:15.1856364Z 	aten::fft_ihfft2.out(Tensor self, int[1]? s=None, int[1] dim=[-2, -1], str? norm=None, *, Tensor(a!) out) -> (Tensor(a!))
2021-10-05T09:29:15.1857255Z 	aten::fft_hfft2(Tensor self, int[1]? s=None, int[1] dim=[-2, -1], str? norm=None) -> (Tensor)

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Binary building wthout python fix (#66031)

50886c0

Summary: Fixes #66030 Pull Request resolved: #66031 Reviewed By: VitalyFedyunin Differential Revision: D31356243 Pulled By: malfet fbshipit-source-id: d1537bc65bbba5d6497ecb8db7160a397eca81fd

pytorch-probot bot added the ciflow/default label Oct 5, 2021

n-v-k mentioned this pull request Oct 5, 2021

[v.1.10.0] Release Tracker #65438

Closed

pytorchbot added the open source label Oct 5, 2021

n-v-k changed the title ~~Binary building wthout python fix (#66031)~~ [release/1.10] Binary building without python fix (#66031) Oct 5, 2021

facebook-github-bot added the cla signed label Oct 5, 2021

malfet approved these changes Oct 5, 2021

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malfet merged commit ecfcb8f into pytorch:release/1.10 Oct 5, 2021

WBobby mentioned this pull request Jul 14, 2022

Add ROCm5.2/AMDGPU support for PyTorch 1.10 WBobby/pytorch#1

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[release/1.10] Binary building without python fix (#66031)#66117

[release/1.10] Binary building without python fix (#66031)#66117
malfet merged 1 commit intopytorch:release/1.10from
n-v-k:release/1.10

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💊 CI failures summary and remediations

🕵️ 1 new failure recognized by patterns

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

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