spyrit.core.meas.FreeformLinear

class spyrit.core.meas.FreeformLinear(H: tensor, meas_shape: int | Size | Iterable[int] = None, meas_dims: int | Size | Iterable[int] = None, index_mask: tensor = None, bool_mask: tensor = None, *, noise_model: bool = None, dtype: dtype = torch.float32, device: device = device(type='cpu'))

Bases: Linear

Performs linear measurements on a subset (mask) of pixels in the image.

Methods

adjoint(m[, unvectorize])	Apply adjoint of matrix H.
apply_mask(x)	Appplies the saved mask to the input tensor, where the masked dimensions are collapsed into one.
forward(x)	Forward pass (measurement + noise) of the measurement operator.
mask_unvectorize(x[, fill_value])	Unflatten the last dimension of a tensor to the measurement shape at the measured dimensions based on the mask.
mask_vectorize(x)	Flatten a tensor along the measured dimensions, which are collapsed into one.
measure(x)	Apply the measurement patterns (no noise) to the incoming tensor.
unvectorize(input)	Unflatten the measured dimensions.
vectorize(input)	Flatten the measured dimensions.