Support float16 aliases in PyTorch as_dtype

[FlorianPfaff]

Summary

• Add float16 to the PyTorch backend dtype alias map.
• Make backend.as_dtype("float16"), backend.as_dtype(np.dtype("float16")), and the raw PyTorch backend equivalent resolve to torch.float16 instead of raising KeyError.

Bug fixed

The PyTorch backend already normalizes float16 aliases in lower-level array creation through _common._normalize_dtype, but _dtype.as_dtype used a narrower MAP_DTYPE that omitted float16. That made the public as_dtype backend API reject a valid dtype alias that other PyTorch backend paths accepted.

Validation

• Confirmed the branch diff only changes src/pyrecest/_backend/pytorch/_dtype.py (+2/-0).
• Attempted to add a focused backend regression, but the GitHub connector safety layer blocked writes under tests/backend_support in this session.
• Full test suite not run locally because the execution environment cannot resolve github.com for cloning.

[github-actions]

✅MegaLinter analysis: Success

Descriptor	Linter	Files	Fixed	Errors	Warnings	Elapsed time
✅ COPYPASTE	jscpd	yes		no	no	69.35s
✅ JSON	prettier	7	0	0	0	1.09s
✅ JSON	v8r	7		0	0	4.85s
✅ MARKDOWN	markdownlint	68	0	0	0	1.65s
✅ MARKDOWN	markdown-table-formatter	68	0	0	0	0.76s
✅ PYTHON	black	1185	29	0	0	65.42s
✅ PYTHON	isort	1185	52	0	0	5.25s
✅ REPOSITORY	checkov	yes		no	no	50.95s
✅ REPOSITORY	gitleaks	yes		no	no	10.53s
✅ REPOSITORY	git_diff	yes		no	no	0.17s
✅ REPOSITORY	secretlint	yes		no	no	44.68s
✅ REPOSITORY	syft	yes		no	no	4.39s
✅ REPOSITORY	trivy-sbom	yes		no	no	7.36s
✅ REPOSITORY	trufflehog	yes		no	no	18.53s
✅ YAML	prettier	11	0	0	0	0.77s
✅ YAML	v8r	11		0	0	10.83s
✅ YAML	yamllint	11		0	0	0.61s

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