[quant][graphmode][fx] Produce reference linear module in convert

[jerryzh168]

Stack from ghstack:

• [quant][graphmode][fx] Use quantized reference functional in quantized reference modules #60289 [quant][graphmode][fx] Use quantized reference functional in quantized reference modules
• [quant][graphmode][fx] Produce reference linear module in convert #60152 [quant][graphmode][fx] Produce reference linear module in convert
• [quant][graphmode][fx] Refactor convert for linear to use get_static_module_mapping and get_dynamic_module_mapping #60151 [quant][graphmode][fx] Refactor convert for linear to use get_static_module_mapping and get_dynamic_module_mapping
• [quant][graphmode][fx] Produce conv reference static quant modules #60138 [quant][graphmode][fx] Produce conv reference static quant modules

Summary:

Test Plan:
python test/test_quantization.py TestQuantizeFx

Reviewers:

Subscribers:

Tasks:

Tags:

Differential Revision: D29188263

[facebook-github-bot]

💊 CI failures summary and remediations

As of commit 508ef29 (more details on the Dr. CI page and at hud.pytorch.org/pr/60152):

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• 3/3 failures possibly* introduced in this PR
  • 2/3 non-scanned failure(s)

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🕵️ 1 new failure recognized by patterns

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

pytorch_macos_10_13_py3_test (1/1)

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

Jun 20 21:01:38 ERROR [0.004s]: test_poisson_sample (__main__.TestDistributions)

Jun 20 21:01:38   File "distributions/test_distributions.py", line 805, in _check_sampler_discrete
Jun 20 21:01:38     chisq, p = scipy.stats.chisquare(counts[msk], pmf[msk] * num_samples)
Jun 20 21:01:38   File "/Users/distiller/workspace/miniconda3/lib/python3.7/site-packages/scipy/stats/stats.py", line 6853, in chisquare
Jun 20 21:01:38     lambda_="pearson")
Jun 20 21:01:38   File "/Users/distiller/workspace/miniconda3/lib/python3.7/site-packages/scipy/stats/stats.py", line 6694, in power_divergence
Jun 20 21:01:38     raise ValueError(msg)
Jun 20 21:01:38 ValueError: For each axis slice, the sum of the observed frequencies must agree with the sum of the expected frequencies to a relative tolerance of 1e-08, but the percent differences are:
Jun 20 21:01:38 0.008265582255680495
Jun 20 21:01:38 
Jun 20 21:01:38 ======================================================================
Jun 20 21:01:38 ERROR [0.004s]: test_poisson_sample (__main__.TestDistributions)
Jun 20 21:01:38 ----------------------------------------------------------------------
Jun 20 21:01:38 Traceback (most recent call last):
Jun 20 21:01:38   File "distributions/test_distributions.py", line 1333, in test_poisson_sample
Jun 20 21:01:38     failure_rate=1e-3)
Jun 20 21:01:38   File "distributions/test_distributions.py", line 805, in _check_sampler_discrete
Jun 20 21:01:38     chisq, p = scipy.stats.chisquare(counts[msk], pmf[msk] * num_samples)
Jun 20 21:01:38   File "/Users/distiller/workspace/miniconda3/lib/python3.7/site-packages/scipy/stats/stats.py", line 6853, in chisquare
Jun 20 21:01:38     lambda_="pearson")
Jun 20 21:01:38   File "/Users/distiller/workspace/miniconda3/lib/python3.7/site-packages/scipy/stats/stats.py", line 6694, in power_divergence
Jun 20 21:01:38     raise ValueError(msg)

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ci.pytorch.org: 1 failed

• Failed: pr/pytorch-linux-bionic-rocm4.2-py3.6

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[jerryzh168]

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This pull request has been merged in 4a3eea9.