[torchlib] Implement quantize/dequantize operators

[justinchuby]

Initial implementations for the quantization operators defined in https://github.com/pytorch/pytorch/blob/main/torch/ao/quantization/fx/_decomposed.py. Related: pytorch/pytorch#106748

I created a new module called quantized_decomposed.py to host all ops that are defined under the quantized_decomposed namespace seen in pytorch/pytorch#106748. I created functions for the most common linear quantize/dequantize operators.

• Also updates FunctionType -> Callable in decorators to make them play well with type checkers

[codecov]

Codecov Report

Attention: Patch coverage is 88.88889% with 2 lines in your changes missing coverage. Please review.

Project coverage is 74.63%. Comparing base (d05d101) to head (e1e02bb).
Report is 1 commits behind head on main.

Files	Patch %	Lines
...unction_libs/torch_lib/ops/quantized_decomposed.py	80.00%	2 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1732      +/-   ##
==========================================
- Coverage   74.89%   74.63%   -0.26%     
==========================================
  Files         244      245       +1     
  Lines       26353    26360       +7     
  Branches     4791     4791              
==========================================
- Hits        19738    19675      -63     
- Misses       5694     5755      +61     
- Partials      921      930       +9     

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[github-actions]

Test Results

     24 files  ±     0      24 suites  ±0   1h 56m 56s ⏱️ - 4m 39s
 13 889 tests +   990  10 587 ✅ +  811    3 300 💤 +   179   2 ❌ ±0 
293 280 runs   - 17 583  71 200 ✅  - 2 581  222 070 💤  - 15 002  10 ❌ ±0 

For more details on these failures, see this check.

Results for commit f600925. ± Comparison against base commit f8ee736.

♻️ This comment has been updated with latest results.