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Commit Graph

Author	SHA1	Message	Date
vladmandic	3ae9909b2a	update sharpfin usage Signed-off-by: vladmandic <mandic00@live.com>	2026-02-11 09:57:37 +01:00
CalamitousFelicitousness	162651cbdb	refactor: address PR #4640 review comments Changes based on vladmandic and Disty0 feedback: - Fix logging: use direct `from installer import log` instead of lazy _get_log() - Remove unused is_available() function - Remove defensive getattr() calls in _resolve_kernel/_resolve_linearize - Simplify _get_device_dtype() to use devices module directly - Refactor to_pil() with single Image.fromarray() call and explicit mode - Add cross-platform fallback: sharpfin only runs on CUDA, falls back to PIL/F.interpolate for other devices (CPU, MPS, OpenVINO) - Replace lambdas with functools.partial in functional.py for torch.compile safety - Add modules/sharpfin to pylint ignore-paths (vendored code)	2026-02-11 09:57:37 +01:00
CalamitousFelicitousness	76aa949a26	refactor: integrate sharpfin for high-quality image resize Vendor sharpfin library (Apache 2.0) and add centralized wrapper module (images_sharpfin.py) replacing torchvision tensor/PIL conversion and resize operations throughout the codebase. - Add modules/sharpfin/ vendored library with MKS2021, Lanczos3, Mitchell, Catmull-Rom kernels and optional Triton sparse acceleration - Add modules/images_sharpfin.py wrapper with to_tensor(), to_pil(), pil_to_tensor(), normalize(), resize(), resize_tensor() - Add resize_quality and resize_linearize_srgb settings - Add MKS2021 and Lanczos3 upscaler entries - Replace torchvision.transforms.functional imports across 18 files - to_pil() auto-detects HWC/BHWC layout, adds .round() before uint8 - Sparse Triton path falls back to dense GPU on compilation failure - Mixed-axis resize splits into two single-axis scale() calls - Masks and non-sRGB data always use linearize=False	2026-02-11 09:57:37 +01:00

Author

SHA1

Message

Date

vladmandic

3ae9909b2a

update sharpfin usage

Signed-off-by: vladmandic <mandic00@live.com>

2026-02-11 09:57:37 +01:00

CalamitousFelicitousness

162651cbdb

refactor: address PR #4640 review comments

Changes based on vladmandic and Disty0 feedback:

- Fix logging: use direct `from installer import log` instead of lazy _get_log()
- Remove unused is_available() function
- Remove defensive getattr() calls in _resolve_kernel/_resolve_linearize
- Simplify _get_device_dtype() to use devices module directly
- Refactor to_pil() with single Image.fromarray() call and explicit mode
- Add cross-platform fallback: sharpfin only runs on CUDA, falls back to
  PIL/F.interpolate for other devices (CPU, MPS, OpenVINO)
- Replace lambdas with functools.partial in functional.py for torch.compile safety
- Add modules/sharpfin to pylint ignore-paths (vendored code)

2026-02-11 09:57:37 +01:00

CalamitousFelicitousness

76aa949a26

refactor: integrate sharpfin for high-quality image resize

Vendor sharpfin library (Apache 2.0) and add centralized wrapper
module (images_sharpfin.py) replacing torchvision tensor/PIL
conversion and resize operations throughout the codebase.

- Add modules/sharpfin/ vendored library with MKS2021, Lanczos3,
  Mitchell, Catmull-Rom kernels and optional Triton sparse acceleration
- Add modules/images_sharpfin.py wrapper with to_tensor(), to_pil(),
  pil_to_tensor(), normalize(), resize(), resize_tensor()
- Add resize_quality and resize_linearize_srgb settings
- Add MKS2021 and Lanczos3 upscaler entries
- Replace torchvision.transforms.functional imports across 18 files
- to_pil() auto-detects HWC/BHWC layout, adds .round() before uint8
- Sparse Triton path falls back to dense GPU on compilation failure
- Mixed-axis resize splits into two single-axis scale() calls
- Masks and non-sRGB data always use linearize=False

2026-02-11 09:57:37 +01:00

3 Commits (0bdbf300ac347640e5b81dff2fa187bcfe05574c)