Add regression test for unlifted get_attr constants

[psiddh]

Summary:
is_parameter() / get_parameter() in backends/qualcomm/builders/utils.py only
recognized lifted constants (is_param / is_buffer / is_lifted_tensor_constant).
An UNLIFTED get_attr node -- a tensor a pass attached with setattr and referenced
via a plain get_attr, present in neither state_dict nor constants nor the graph
signature -- fell through, so get_parameter() tripped its assert param is not None
and raised Expect <name> to be parameter, buffer, or lifted tensor constant.

#22020 fixed that by adding a node.op == "get_attr" branch to both functions.
OSS CI never caught the original break because every failing path was internal-only
(the LPAI LpaiPartitionFallbackSupport pass and the internal
examples/models/fb/llama4/... exports); the OSS [htp] path lifts its constants, so
it never produces an unlifted get_attr.

This adds backends/qualcomm/tests/test_builders_utils.py, a backend-agnostic,
pure-fx-graph unit test that closes that coverage gap. It builds an ExportedProgram
whose graph carries an unlifted get_attr tensor constant and asserts is_parameter()
returns True, get_parameter() returns the tensor cast to node.meta["val"].dtype, and
that the lookup falls back to edge_program.graph_module when
node.graph.owning_module cannot resolve the target. No QNN SDK, no device, no LPAI
backend, no internal models -- it runs anywhere torch.export runs, including OSS CI.

Note on ordering: this diff contains only the new test, no utils.py change. It depends
on #22020 and will fail until that lands.

Differential Revision: D116963247

[pytorch-bot]

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👉 Rebase onto the `viable/strict` branch to avoid these failures

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[qti-horodnic]

LGTM, thanks Sid. Should we add test_builders_utils.py to the CI? I see only test_passes.py is currently there.

On a similar note, we should ideally have testing specifically for these util methods, I'll discuss that internally with the team.

[psiddh]

LGTM, thanks Sid. Should we add test_builders_utils.py to the CI? I see only test_passes.py is currently there.

On a similar note, we should ideally have testing specifically for these util methods, I'll discuss that internally with the team.

Thanks for bringing this up. I was thinking on the similar lines. Please discuss and let us know how we can increase the OSS CI coverage further.