Support PyTorch triangular helpers for array-like inputs

[FlorianPfaff]

Summary

• Patch raw PyTorch vec_to_diag, tril_to_vec, and triu_to_vec so they coerce array-like inputs through the backend array constructor.
• Keep public PyTorch backend helpers synchronized when PyTorch is the active backend.
• Move generated triangular indices onto the input tensor device before indexing.

Bug fixed

The raw PyTorch triangular-vector helpers assumed tensor inputs: vec_to_diag([1.0, 2.0]) passed a Python list to torch.diag_embed, while tril_to_vec([[...]]) and triu_to_vec([[...]]) accessed .shape on a list. CUDA tensors could also be indexed with CPU-generated triangular indices. The wrapper normalizes inputs and index devices.

Validation

• Inspected the branch diff against current main.
• Full test suite was not run because the repository could not be cloned in this environment.

[github-actions]

✅MegaLinter analysis: Success

Descriptor	Linter	Files	Fixed	Errors	Warnings	Elapsed time
✅ COPYPASTE	jscpd	yes		no	no	71.69s
✅ JSON	prettier	7	0	0	0	1.06s
✅ JSON	v8r	7		0	0	5.06s
✅ MARKDOWN	markdownlint	68	0	0	0	1.62s
✅ MARKDOWN	markdown-table-formatter	68	0	0	0	0.67s
✅ PYTHON	black	1185	29	0	0	57.53s
✅ PYTHON	isort	1185	52	0	0	3.28s
✅ REPOSITORY	checkov	yes		no	no	44.98s
✅ REPOSITORY	gitleaks	yes		no	no	11.48s
✅ REPOSITORY	git_diff	yes		no	no	0.23s
✅ REPOSITORY	secretlint	yes		no	no	43.67s
✅ REPOSITORY	syft	yes		no	no	5.52s
✅ REPOSITORY	trivy-sbom	yes		no	no	5.54s
✅ REPOSITORY	trufflehog	yes		no	no	16.63s
✅ YAML	prettier	11	0	0	0	0.66s
✅ YAML	v8r	11		0	0	10.56s
✅ YAML	yamllint	11		0	0	0.49s

Notices

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