[iOS][CI] Update dev certs (#66004)

[malfet]

Summary:
Fixes #65988

Pull Request resolved: #66004

Reviewed By: xta0

Differential Revision: D31340893

Pulled By: malfet

fbshipit-source-id: 3bf0be266e9686a73d62e86c5cf0bebeb0416260

[pytorch-probot]

CI Flow Status

⚛️ CI Flow

Ruleset - Version: v1
Ruleset - File: https://github.com/malfet/pytorch/blob/222023125d1a1675a9fc56ef0c4b406b22685528/.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

You can add a comment to the PR and tag @pytorchbot with the following commands:

# ciflow rerun, "ciflow/default" will always be added automatically
@pytorchbot ciflow rerun

# ciflow rerun with additional labels "-l <ciflow/label_name>", which is equivalent to adding these labels manually and trigger the rerun
@pytorchbot ciflow rerun -l ciflow/scheduled -l ciflow/slow

For more information, please take a look at the CI Flow Wiki.

[facebook-github-bot]

🔗 Helpful links

• 🧪  See artifacts and rendered test results at hud.pytorch.org/pr/66188
• 📄  Preview docs built from this PR
• 📄  Preview C++ docs built from this PR
• ↩️  [fb-only] Re-run with SSH instructions
• 🔧  Opt-in to CIFlow to control what jobs run on your PRs

💊 CI failures summary and remediations

As of commit 2220231 (more details on the Dr. CI page):

---

• 2/2 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)

2021-10-06T03:28:06.6349344Z The PR is introduc...m to confirm whether this change is wanted or not.

2021-10-06T03:28:06.6336308Z 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)
2021-10-06T03:28:06.6337676Z processing existing schema:  alltoall(__torch__.torch.classes.dist_c10d.ProcessGroup _0, Tensor[] _1, Tensor[] _2) -> (__torch__.torch.classes.dist_c10d.Work _0)
2021-10-06T03:28:06.6338970Z processing existing schema:  send(__torch__.torch.classes.dist_c10d.ProcessGroup _0, Tensor[] _1, int _2, int _3) -> (__torch__.torch.classes.dist_c10d.Work _0)
2021-10-06T03:28:06.6340254Z processing existing schema:  recv(__torch__.torch.classes.dist_c10d.ProcessGroup _0, Tensor[] _1, int _2, int _3) -> (__torch__.torch.classes.dist_c10d.Work _0)
2021-10-06T03:28:06.6341564Z processing existing schema:  recv_anysource(__torch__.torch.classes.dist_c10d.ProcessGroup _0, Tensor[] _1, int _2) -> (__torch__.torch.classes.dist_c10d.Work _0)
2021-10-06T03:28:06.6342811Z processing existing schema:  barrier(__torch__.torch.classes.dist_c10d.ProcessGroup _0) -> (__torch__.torch.classes.dist_c10d.Work _0)
2021-10-06T03:28:06.6343883Z processing existing schema:  __init__(__torch__.torch.classes.dist_c10d.frontend _0) -> (NoneType _0)
2021-10-06T03:28:06.6345280Z 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)
2021-10-06T03:28:06.6346821Z processing existing schema:  get_process_group_by_name(__torch__.torch.classes.dist_c10d.frontend _0, str _1) -> (__torch__.torch.classes.dist_c10d.ProcessGroup _0)
2021-10-06T03:28:06.6348190Z processing existing schema:  get_name_of_process_group(__torch__.torch.classes.dist_c10d.frontend _0, __torch__.torch.classes.dist_c10d.ProcessGroup _1) -> (str _0)
2021-10-06T03:28:06.6349344Z The PR is introducing backward incompatible changes to the operator library. Please contact PyTorch team to confirm whether this change is wanted or not. 
2021-10-06T03:28:06.6349935Z 
2021-10-06T03:28:06.6350187Z Broken ops: [
2021-10-06T03:28:06.6350904Z 	aten::fft_ihfftn(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None) -> (Tensor)
2021-10-06T03:28:06.6351767Z 	aten::fft_ihfftn.out(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> (Tensor(a!))
2021-10-06T03:28:06.6352594Z 	aten::special_softmax(Tensor self, int dim, int? dtype=None) -> (Tensor)
2021-10-06T03:28:06.6353378Z 	aten::fft_hfftn(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None) -> (Tensor)
2021-10-06T03:28:06.6354357Z 	aten::fft_hfftn.out(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> (Tensor(a!))
2021-10-06T03:28:06.6355208Z 	aten::fft_ihfft2(Tensor self, int[1]? s=None, int[1] dim=[-2, -1], str? norm=None) -> (Tensor)
2021-10-06T03:28:06.6356073Z 	aten::fft_ihfft2.out(Tensor self, int[1]? s=None, int[1] dim=[-2, -1], str? norm=None, *, Tensor(a!) out) -> (Tensor(a!))
2021-10-06T03:28:06.6356905Z 	aten::fft_hfft2(Tensor self, int[1]? s=None, int[1] dim=[-2, -1], str? norm=None) -> (Tensor)

---

1 failure not recognized by patterns:

Job	Step	Action
pytorch_vulkan_linux_bionic_py3_6_clang9_build	Build	🔁 rerun

---

This comment was automatically generated by Dr. CI (expand for details).

Follow this link to opt-out of these comments for your Pull Requests.

Please report bugs/suggestions to the (internal) Dr. CI Users group.

Click here to manually regenerate this comment.