Arm backend: use full_like in LeakyReLU decomposition

[mansnils]

Replace full(x.shape, slope) with full_like(x, slope).

This avoids capturing export-time shape metadata and lets the created tensor inherit dtype/device from the runtime input tensor, preventing shape and device mismatches across export flows (e.g. QAT/PT2E vs already-quantized export).

Because of this LeakyRelu pass need to go before full_like_to_full conversion pass.

cc @digantdesai @freddan80 @per @zingo @oscarandersson8218 @Sebastian-Larsson @robell

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• trunk / test-models-windows (resnet50, portable) / windows-job (gh) (similar failure)
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• trunk / test-models-windows (mv3, xnnpack-q8) / windows-job (gh) (trunk failure)
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• trunk / test-models-windows (vit, portable) / windows-job (gh) (trunk failure)
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[Copilot]

Pull request overview

Updates the Arm backend LeakyReLU decomposition to use full_like instead of full(shape, ...), reducing reliance on export-time shape/device metadata and aligning the created tensor with the runtime input tensor’s dtype/device. The TOSA pass pipeline is also reordered so the decomposition runs before the full_like→full conversion pass.

Changes:

• Switch LeakyReLU decomposition from aten.full to aten.full_like and stop reading dtype/device from meta["val"].
• Reorder the TOSA pipeline so DecomposeLeakyReLUPass runs before ConvertFullLikeToFullPass.
• Update the decomposition’s docstring example accordingly.

Reviewed changes

Copilot reviewed 2 out of 2 changed files in this pull request and generated 1 comment.

File	Description
backends/arm/_passes/decompose_leaky_relu_pass.py	Use full_like(x, slope) during LeakyReLU decomposition to inherit properties from the runtime input.
backends/arm/_passes/arm_pass_manager.py	Move DecomposeLeakyReLUPass earlier so any emitted full_like can be normalized by ConvertFullLikeToFullPass.

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