src/spectramr/core/metrics/no_reference_extended.py: spec = torch.fft.fftshift(torch.fft.fft2(x), dim=(-2, -1))
src/spectramr/core/metrics/srf_bound.py: fx = torch.fft.fftshift(torch.fft.fftfreq(w, device=images.device)).abs()[None, :]
src/spectramr/core/metrics/srf_bound.py: fy = torch.fft.fftshift(torch.fft.fftfreq(h, device=images.device)).abs()[:, None]
src/spectramr/core/metrics/srf_bound.py: spec = torch.fft.fftshift(torch.fft.fft2(images), dim=(-2, -1))
src/spectramr/domain/services/generation_3d_orchestration_service.py: from spectramr.infrastructure.services.device_policy import ...
src/spectramr/domain/services/generation_3d_orchestration_service.py: from spectramr.infrastructure.services.pipeline_execution_service import ...
src/spectramr/domain/services/services.py: from spectramr.infrastructure.services import ...
src/spectramr/models/classifiers/guidance_free_classifier.py: from spectramr.infrastructure.di.di_container import ...
src/spectramr/models/classifiers/guidance_free_classifier.py: from spectramr.infrastructure.services import ...
src/spectramr/models/diffusion/kspace_process.py: from spectramr.infrastructure.training.utils.kspace_masks import ...
src/spectramr/models/generators/trellis_structured_vae.py: from spectramr.infrastructure.integration.trellis_adapter import ...
src/spectramr/models/latent_diffusion/latent_training_strategies.py: from spectramr.infrastructure.training.strategies.base import ...
