NXP backend: Add support for conversion of Conv1D operator

[roman-janik-nxp]

Summary

This PR adds delegation of aten.conv1d to Neutron. Fixes input_shapes type hint in to_quantized_edge_program(). Fixes operators_not_to_delegate assignment in partitioner.

Test plan

Unit tests provided in backends/nxp/tests/ir/converter/node_converter/test_conv_converter.py.

cc @digantdesai @JakeStevens @robert-kalmar

[pytorch-bot]

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NEW FAILURES - The following jobs have failed:

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• pull / unittest-arm-backend-with-no-fvp (test_pytest_models) / linux-job (gh)
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• pull / unittest-arm-backend-with-no-fvp (test_pytest_ops) / linux-job (gh)
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[roman-janik-nxp]

@pytorchbot label "module: nxp" "release notes: nxp"

[JakeStevens]

How does this intersect with #13576? Seems you are extending with 0s, I think this will re-introduce this bug for conv1d now.

Can use the same checks introduced in the tests in #13576 for 1D case

[roman-janik-nxp]

How does this intersect with #13576? Seems you are extending with 0s, I think this will re-introduce this bug for conv1d now.

Can use the same checks introduced in the tests in #13576 for 1D case

Yes, this is a conflict. I added fix for padding with zero-point to this PR. In our IR, Conv1D operator doesn't exist and it is emulated by changing to Conv2D and then the result is converted to Conv1D format. So this fix will change it also for Conv2D. However, the other PR is still needed as it changes Average pool.