[quant][graphmode][fx] Add support for functional conv1d and conv3d

[jerryzh168]

Stack from ghstack:

• [quant][graphmode][fx] Add support for functional conv1d and conv3d #51155 [quant][graphmode][fx] Add support for functional conv1d and conv3d
• [quant][graphmode][fx] Add functional conv2d + relu #51079 [quant][graphmode][fx] Add functional conv2d + relu

Summary:
This PR added support for quantizing functional conv1d, conv3d, conv1d_relu and conv3d_relu

Test Plan:
python test/test_quantization.py TestQuantizeFxOps.test_functional_conv

Reviewers:

Subscribers:

Tasks:

Tags:

Differential Revision: D26089965

[facebook-github-bot]

💊 CI failures summary and remediations

As of commit 83c0bee (more details on the Dr. CI page):

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• 2/7 failures possibly* introduced in this PR
  • 2/2 non-CircleCI failure(s)
• 5/7 broken upstream at merge base 1ee5d11 on Jan 26 from 12:49pm to 7:04pm

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🚧 5 fixed upstream failures:

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

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

• pytorch_linux_xenial_py3_clang5_asan_test1 on Jan 26 from 12:49pm to 5:48pm (a949d7b - 5748410)
  • 🔁 rerun
• pytorch_linux_bionic_py3_8_gcc9_coverage_test1 on Jan 26 from 2:55pm to 7:04pm (24eab1d - 5748410)
  • 🔁 rerun
• pytorch_linux_xenial_cuda10_2_cudnn7_py3_gcc7_test1 on Jan 26 from 1:29pm to 6:17pm (6f3aa58 - 5748410)
  • 🔁 rerun
• pytorch_linux_bionic_py3_6_clang9_test on Jan 26 from 1:29pm to 5:39pm (6f3aa58 - 5748410)
  • 🔁 rerun
• pytorch_linux_xenial_py3_6_gcc5_4_test on Jan 26 from 1:51pm to 5:48pm (f08464f - 5748410)
  • 🔁 rerun

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Extra GitHub checks: 1 failed

• Failed: GitHub Actions - quick-checks

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[facebook-github-bot]

This pull request has been merged in dd1a97b.

[mruberry]

Unlanding. This broke several builds, as its Github CI indicates. Sample failure:

test_run_mypy [mypy.ini] - TestTypeHints
test_type_hints.py

Traceback (most recent call last):
  File "test_type_hints.py", line 171, in test_run_mypy
    self.fail(f"mypy failed: {stdout} {stderr}")
AssertionError: mypy failed: torch/quantization/fx/utils.py:206: error: Incompatible return value type (got "Optional[Any]", expected "Callable[..., Any]")  [return-value]
Found 1 error in 1 file (checked 1211 source files)

[jerryzh168]

will reland in #51254