Remove unused functions for quantization handling

[per]

Remove functions not used for searching/finding quantization information.

cc @digantdesai @freddan80 @zingo @oscarandersson8218

[pytorch-bot]

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❌ 2 New Failures, 3 Cancelled Jobs

As of commit 0d4abcc with merge base d1b33cb ():

NEW FAILURES - The following jobs have failed:

• pull / unittest / macos / macos-job (gh)
  backends/xnnpack/test/ops/test_add.py::TestAdd::test_qs8_add_relu_seq
• trunk / test-arm-backend-delegation / linux-job (gh)
  AttributeError: 'ArmCompileSpecBuilder' object has no attribute 'set_quantize_io'

CANCELLED JOBS - The following jobs were cancelled. Please retry:

• trunk / test-llama-runner-mac (fp32, coreml) / macos-job (gh)
  ##[error]The operation was canceled.
• trunk / test-llama-runner-mac (fp32, xnnpack+kv+custom) / macos-job (gh)
  ##[error]The operation was canceled.
• trunk / test-models-macos (cmake, emformer_join, xnnpack-quantization-delegation, macos-m1-stable, 90) / macos-job (gh)
  ##[error]The operation was canceled.

This comment was automatically generated by Dr. CI and updates every 15 minutes.

[zingo]

Probably just need to be rebased as set_quantize_io() was removed in d1b33cb
(merged a short while ago)

[shoumikhin]

@per @oscarandersson8218 hi folks, can you please check if this or any of your recent changes could have caused the following test failure:

Traceback (most recent call last):
  File "<frozen runpy>", line 198, in _run_module_as_main
  File "<frozen runpy>", line 88, in _run_code
  File "/Users/shoumikhin/Temp/executorch/examples/xnnpack/aot_compiler.py", line 110, in <module>
    exec_prog = edge.to_executorch(
                ^^^^^^^^^^^^^^^^^^^
  File "/Users/shoumikhin/Temp/executorch/.venv/lib/python3.12/site-packages/executorch/exir/program/_program.py", line 99, in wrapper
    return func(self, *args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/shoumikhin/Temp/executorch/.venv/lib/python3.12/site-packages/executorch/exir/program/_program.py", line 1385, in to_executorch
    new_gm_res = p(new_gm)
                 ^^^^^^^^^
  File "/Users/shoumikhin/Temp/executorch/.venv/lib/python3.12/site-packages/torch/fx/passes/infra/pass_base.py", line 44, in __call__
    res = self.call(graph_module)
          ^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/shoumikhin/Temp/executorch/.venv/lib/python3.12/site-packages/executorch/exir/passes/__init__.py", line 427, in call
    raise RuntimeError(f"Missing out variants: {missing_out_vars}")
RuntimeError: Missing out variants: {'quantized_decomposed::dequantize_per_tensor', 'quantized_decomposed::quantize_per_tensor'}

Here's how you can reproduce it on the latest main branch:

git clone https://github.com/pytorch/executorch.git --depth 1 --recurse-submodules --shallow-submodules
cd executorch

python3 -m venv .venv && source .venv/bin/activate && pip install --upgrade pip

./install_executorch.sh --pybind xnnpack # install any missing pip dep manually if this script currently fails

python3 -m examples.xnnpack.aot_compiler --model_name=emformer_transcribe --delegate --quantize

For context, our CI signals were lagging at the time this PR landed, so we couldn't catch it earlier, and now they're back and reveal some failures like above.

Thanks!

[per]

@shoumikhin Is there anything that led you in the direction to this PR? It only removes deprecated functions used for the serialization to TOSA Flatbuffer format used for the Ethos-U NPU.

[shoumikhin]

@per yeah, this PR likely has nothing to do with that CI failure.