Release 1.12 Install torch from test channel, Pin builder and xla repo

[atalman]

Release 1.12 Install torch from test channel, Pin builder and xla repo

[facebook-github-bot]

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• 🧪  See artifacts and rendered test results at hud.pytorch.org/pr/77983
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• 📄  Preview C++ docs built from this PR
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• ↩️  [fb-only] Re-run with SSH instructions

❌ 1 New Failures, 1 Base Failures

As of commit d25fbdd (more details on the Dr. CI page):

Expand to see more

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• 1/2 failures introduced in this PR
• 1/2 broken upstream at merge base a119b7f on May 20 from 10:43am to 2:18pm

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🕵️ 1 new failure recognized by patterns

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

pull / linux-xenial-py3.7-gcc5.4 / test (backwards_compat, 1, 1, linux.2xlarge) (1/1)

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

2022-05-20T18:04:13.2011571Z The PR is introduc...m to confirm whether this change is wanted or not.

2022-05-20T18:04:13.1996782Z processing existing schema:  text(__torch__.torch.classes.profiling.SourceRef _0) -> (str _0)
2022-05-20T18:04:13.1998251Z processing existing schema:  count(__torch__.torch.classes.profiling.InstructionStats _0) -> (int _0)
2022-05-20T18:04:13.1999666Z processing existing schema:  duration_ns(__torch__.torch.classes.profiling.InstructionStats _0) -> (int _0)
2022-05-20T18:04:13.2001414Z processing existing schema:  source(__torch__.torch.classes.profiling.SourceStats _0) -> (__torch__.torch.classes.profiling.SourceRef _0)
2022-05-20T18:04:13.2003477Z processing existing schema:  line_map(__torch__.torch.classes.profiling.SourceStats _0) -> (Dict(int, __torch__.torch.classes.profiling.InstructionStats) _0)
2022-05-20T18:04:13.2004269Z processing existing schema:  __init__(__torch__.torch.classes.profiling._ScriptProfile _0) -> (NoneType _0)
2022-05-20T18:04:13.2006193Z processing existing schema:  enable(__torch__.torch.classes.profiling._ScriptProfile _0) -> (NoneType _0)
2022-05-20T18:04:13.2007271Z processing existing schema:  disable(__torch__.torch.classes.profiling._ScriptProfile _0) -> (NoneType _0)
2022-05-20T18:04:13.2010008Z processing existing schema:  _dump_stats(__torch__.torch.classes.profiling._ScriptProfile _0) -> (__torch__.torch.classes.profiling.SourceStats[] _0)
2022-05-20T18:04:13.2011129Z processing existing schema:  __init__(__torch__.torch.classes.dist_rpc.WorkerInfo _0, str _1, int _2) -> (NoneType _0)
2022-05-20T18:04:13.2011571Z The PR is introducing backward incompatible changes to the operator library. Please contact PyTorch team to confirm whether this change is wanted or not. 
2022-05-20T18:04:13.2011603Z 
2022-05-20T18:04:13.2011738Z Broken ops: [
2022-05-20T18:04:13.2012219Z 	aten::max_unpool3d_backward(Tensor grad_output, Tensor self, Tensor indices, int[3] output_size, int[3] stride, int[3] padding) -> (Tensor)
2022-05-20T18:04:13.2012723Z 	aten::max_unpool3d_backward.grad_input(Tensor grad_output, Tensor self, Tensor indices, int[3] output_size, int[3] stride, int[3] padding, *, Tensor(a!) grad_input) -> (Tensor(a!))
2022-05-20T18:04:13.2012984Z 	aten::max_unpool2d_backward(Tensor grad_output, Tensor self, Tensor indices, int[2] output_size) -> (Tensor)
2022-05-20T18:04:13.2013433Z 	aten::max_unpool2d_backward.grad_input(Tensor grad_output, Tensor self, Tensor indices, int[2] output_size, *, Tensor(a!) grad_input) -> (Tensor(a!))
2022-05-20T18:04:13.2013594Z 	aten::_cat(Tensor[] tensors, int dim=0) -> (Tensor)
2022-05-20T18:04:13.2013798Z 	aten::_cat.out(Tensor[] tensors, int dim=0, *, Tensor(a!) out) -> (Tensor(a!))
2022-05-20T18:04:13.2014062Z 	aten::scatter_reduce.two(Tensor self, int dim, Tensor index, str reduce, *, int? output_size=None) -> (Tensor)
2022-05-20T18:04:13.2014416Z 	quantized::conv2d_cudnn(Tensor act, Tensor weight, Tensor? bias, int[] stride, int[] padding, int[] dilation, int groups, float output_scale, int output_zero_point) -> (Tensor)

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🚧 1 fixed upstream failure:

These were probably caused by upstream breakages that were already fixed.

Please rebase on the viable/strict branch (expand for instructions)

If your commit is older than viable/strict, run these commands:

git fetch https://github.com/pytorch/pytorch viable/strict
git rebase FETCH_HEAD

• pull / linux-bionic-rocm5.1-py3.7 / test (default, 2, 2, linux.rocm.gpu) on May 20 from 10:43am to 2:18pm (1970126 - 0f74b44)
  • 🔁 rerun

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