Fused quant hardswish kernel (#19488)

[DrJessop]

Summary:

Fused quant hardswish kernel with optional dequantize/quantize. Unary op that applies x * min(max(x+3, 0), 6) / 6. Supports per-tensor and per-channel quantization.

Reviewed By: mvartani-meta

Differential Revision: D103754780

[pytorch-bot]

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❌ 6 New Failures

As of commit 82309e4 with merge base 8020fe0 ():

NEW FAILURES - The following jobs have failed:

• pull / unittest / linux / linux-job (gh)
  exir/tests/test_memory_planning.py::TestMisc::test_multiple_pools_1
• pull / unittest / macos / macos-job (gh)
  export/tests/test_target_recipes.py::TestTargetRecipes::test_mv2_model
• pull / unittest / windows / windows-job (gh)
  exir/tests/test_joint_graph.py::TestJointGraph::test_joint_graph
• pull / unittest-editable / linux / linux-job (gh)
  exir/tests/test_joint_graph.py::TestJointGraph::test_joint_graph
• pull / unittest-editable / macos / macos-job (gh)
  exir/tests/test_memory_planning.py::TestMisc::test_multiple_pools_1
• pull / unittest-editable / windows / windows-job (gh)
  exir/tests/test_joint_graph.py::TestJointGraph::test_joint_graph

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[meta-codesync]

@DrJessop has exported this pull request. If you are a Meta employee, you can view the originating Diff in D103754780.

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