[quant][graphmode] Quantization support for aten::conv3d

[jerryzh168]

Stack from ghstack:

• [quant][graphmode] Quantization support for at::sort #35571 [quant][graphmode] Quantization support for at::sort
• [quant][graphmode][refactor] getGeneralTensorInputs(Node*) -> getPassThroughInputs(Value*) #35558 [quant][graphmode][refactor] getGeneralTensorInputs(Node*) -> getPassThroughInputs(Value*)
• [quant][graphmode][fix] docs for InsertObservers #35557 [quant][graphmode][fix] docs for InsertObservers
• [quant][graphmode] Quantization support for quantized::add_scalar_relu and quantized::add_scalar_relu_out #35509 [quant][graphmode] Quantization support for quantized::add_scalar_relu and quantized::add_scalar_relu_out
• [quant][graphmode] Remove unused patterns #35385 [quant][graphmode] Remove unused patterns
• [quant][graphmode] Quantization support for aten::conv3d #35347 [quant][graphmode] Quantization support for aten::conv3d
• [quant][graphmode][fix] Add filter for quantized::add #35345 [quant][graphmode][fix] Add filter for quantized::add
• [quant][graphmode] qconfig_dict support None #35336 [quant][graphmode] qconfig_dict support None

Summary:

Test Plan:
python test/test_jit.py TestJit.test_quantized_conv3d

Reviewers:
.

Subscribers:

Tasks:

Tags:

Differential Revision: D20655304

[dr-ci]

💊 CircleCI build failures summary and remediations

As of commit d07b11e (more details on the Dr. CI page):

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✅ None of the build failures appear to be your fault 💚

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• 1/1 broken upstream at merge base 860790d since Mar 27

  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 https://github.com/pytorch/pytorch viable/strict
  git rebase --onto FETCH_HEAD $(git merge-base origin/master HEAD)
  

  If your commit is older than viable/strict:

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

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

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🚧 1 upstream failure:

These were probably caused by upstream breakages:

• pytorch_linux_backward_compatibility_check_test since Mar 27

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This pull request has been merged in 86be644.