Kill cudaDeviceAllocator in THCState

[zasdfgbnm]

No description provided.

[dr-ci]

💊 CircleCI build failures summary and remediations

As of commit c1cf6cd:

• 3/4 broken upstream at merge base d35a4c2 since Feb 15

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

  If your commit is newer than viable/strict, you can try basing on an older, stable commit:

  git fetch origin viable/strict
  git rebase --onto viable/strict $(git merge-base origin/master HEAD)
  

  If your commit is older than viable/strict:

  git fetch origin viable/strict
  git rebase viable/strict
  

  Check out the recency history of this "viable master" tracking branch.

• 1/4 failures introduced in this PR

Detailed failure analysis

One may explore the probable reasons each build failed interactively on the Dr. CI website.

🕵️ 1 new failure recognized by patterns

The following build failures do not appear to be due to upstream breakage:

pytorch_linux_backward_compatibility_check_test (1/1)

Step: "Test" (full log | pattern match details)

Feb 15 18:49:53 The PR is introducing backward incompatible changes to the operator library. Please contact PyTorch team to confirm whether this change is wanted or not.

Feb 15 18:49:53 processing existing schema:  aten::values(Tensor(a) self) -> (Tensor(a)) 
Feb 15 18:49:53 processing existing schema:  aten::values(Dict(str, t) self) -> (t[](*)) 
Feb 15 18:49:53 processing existing schema:  aten::values(Dict(int, t) self) -> (t[](*)) 
Feb 15 18:49:53 processing existing schema:  aten::values(Dict(float, t) self) -> (t[](*)) 
Feb 15 18:49:53 processing existing schema:  aten::values(Dict(Tensor, t) self) -> (t[](*)) 
Feb 15 18:49:53 processing existing schema:  aten::view(Tensor(a) self, int[] size) -> (Tensor(a)) 
Feb 15 18:49:53 processing existing schema:  aten::where(Tensor condition) -> (Tensor[]) 
Feb 15 18:49:53 processing existing schema:  aten::where.self(Tensor condition, Tensor self, Tensor other) -> (Tensor) 
Feb 15 18:49:53 processing existing schema:  aten::zeros_like(Tensor self, *, int? memory_format=None) -> (Tensor) 
Feb 15 18:49:53 processing existing schema:  aten::zeros_like.dtype(Tensor self, *, int dtype, int layout, Device device, bool pin_memory=False, int? memory_format=None) -> (Tensor) 
Feb 15 18:49:53 The PR is introducing backward incompatible changes to the operator library. Please contact PyTorch team to confirm whether this change is wanted or not.  
Feb 15 18:49:53  
Feb 15 18:49:53 Broken ops: [ 
Feb 15 18:49:53 	aten::is_owner(RRef(t) self) -> (bool) 
Feb 15 18:49:53 	aten::to_here(RRef(t) self) -> (t) 
Feb 15 18:49:53 ] 
Feb 15 18:49:53 + cleanup 
Feb 15 18:49:53 + retcode=1 
Feb 15 18:49:53 + set +x 
Feb 15 18:49:53 =================== sccache compilation log =================== 
Feb 15 18:49:53 =========== If your build fails, please take a look at the log above for possible reasons =========== 

🚧 3 upstream failures recognized by patterns:

These builds matched patterns, but were probably caused by upstream breakages:

• caffe2_onnx_py3_6_clang7_ubuntu16_04_test from Feb 14
• caffe2_onnx_py2_gcc5_ubuntu16_04_test from Feb 14
• pytorch_windows_vs2019_py36_cuda10.1_test2 from Feb 15

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This comment has been revised 6 times.

[zasdfgbnm]

failures looks unrelated

[facebook-github-bot]

@ezyang is landing this pull request. If you are a Facebook employee, you can view this diff on Phabricator.

[facebook-github-bot]

@ezyang merged this pull request in 4588f49.