[quant][graphmode][refactor] swapDeQuant takes block as arugment

[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
• [quant][graphmode] Make aten::relu a general op #35420 [quant][graphmode] Make aten::relu a general op
• [quant][graphmode] prepare_script takes original qconfig_dict #35335 [quant][graphmode] prepare_script takes original qconfig_dict
• [quant][graphmode] Quantization support for quantized::add_scalar #35334 [quant][graphmode] Quantization support for quantized::add_scalar
• [quant][graphmode][refactor] Support filter function in quant fusion patterns #35333 [quant][graphmode][refactor] Support filter function in quant fusion patterns
• [quant][graphmode] Quantization support for permute and repeat_interleave #35332 [quant][graphmode] Quantization support for permute and repeat_interleave
• [quant][graphmode] Make interpolate/upsample work again #35130 [quant][graphmode] Make interpolate/upsample work again
• [quant][graphmode] SwapDeQuant support prim::If #35142 [quant][graphmode] SwapDeQuant support prim::If
• [quant][graphmode][refactor] getGeneralOpTensorInputIndexes -> getGeneralOpTensorInputs #35141 [quant][graphmode][refactor] getGeneralOpTensorInputIndexes -> getGeneralOpTensorInputs
• [quant][graphmode][refactor] swapDeQuant takes block as arugment #35135 [quant][graphmode][refactor] swapDeQuant takes block as arugment
• [quant][graphmode] Fold quantized prepacking ops #35077 [quant][graphmode] Fold quantized prepacking ops

Summary:
This in preperation for the support of prim::If in SwapDeQuant

Test Plan:
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Reviewers:
.

Subscribers:

Tasks:

Tags:

Differential Revision: D20655296

[dr-ci]

💊 CircleCI build failures summary and remediations

As of commit 561627f (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 04a3345 from Mar 27 until Mar 28 (23 commits; 0c16ced - a9b540d)

  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_macos_10_13_py3_test from Mar 27 until Mar 28 (23 commits; 0c16ced - a9b540d)

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[facebook-github-bot]

This pull request has been merged in 26b2725.