fix: torch compile bugs with cpu and hqq

[gsprochette]

Description

This PR fixes two bugs that are torch-compile related:

• sd_tiny_random-hqq_diffusers+torch_compile-False-cmmd : AttributeError: 'Upsample2D' object has no attribute 'Conv2d_0' -> comes from the loss of the called module when saving and loading after hqq+torch-compile on unet-based models (which trigger a legacy naming).
• TestTorchCompile_shufflenet-cpu : torch._dynamo.exc.InternalTorchDynamoError: IndexError: list index out of range -> is related to Preserve original GraphArgs for shape guard codegen pytorch/pytorch#90665 and is fixed by setting torch compile to compile dynamically by default on cpu to avoid a know issue about symbolic shapes.

Related Issue

Fixes #(issue number)

Type of Change

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Refactor (no functional change)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• Documentation update

Testing

• I added or updated tests covering my changes
• Existing tests pass locally (uv run pytest -m "cpu and not slow")

For full setup and testing instructions, see the Contributing Guide.

Checklist

• My code follows the style guidelines of this project
• I have performed a self-review of my code, especially for agent-assisted changes
• I updated the documentation where necessary

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