[Inductor][float8] Support qconv for float8 in inductor

[jiayisunx]

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[pytorch-bot]

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❌ 6 New Failures

As of commit fa88f2f with merge base cb0d915 ():

NEW FAILURES - The following jobs have failed:

• Code Analysis with Ruff / build (3.9) (gh)
  Process completed with exit code 1.
• PR Label Check / Check PR Labels (gh)
  Process completed with exit code 1.
• Run Regression Tests / test (CPU 2.9, linux.4xlarge, torch==2.9.1 --index-url https://download.pytorch.org/whl/cpu, cpu) / linux-job (gh)
  test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qconv2d_silu_fp8_mixed_bf16_cpu
• Run Regression Tests / test (CUDA 2.9, linux.g5.12xlarge.nvidia.gpu, torch==2.9.1, cuda, 12.6) / linux-job (gh)
  test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qconv2d_silu_fp8_cpu
• Run Regression Tests / test-nightly (CPU Nightly, linux.4xlarge, --pre torch --index-url https://download.pytorch.org/wh... / linux-job (gh)
  test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qconv2d_silu_fp8_mixed_bf16_cpu
• Run Regression Tests / test-nightly (CUDA Nightly, linux.g5.12xlarge.nvidia.gpu, --pre torch --index-url https://downloa... / linux-job (gh)
  test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qconv2d_silu_fp8_cpu

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[Xia-Weiwen]

Can you explain the special case here? And maybe a comment here will be helpful.