spyrit.core.recon.LearnedPGD.acquire

LearnedPGD.acquire(x)

Simulate data acquisition

Args:

x: ground-truth images

Shape:

x: ground-truth images with shape \((B,C,H,W)\)

output: measurement vectors with shape \((BC,2M)\)

Example:

>>> from spyrit.core.meas import HadamSplit2d
>>> from spyrit.core.prep import UnsplitRescale
>>> from spyrit.core.recon import LearnedPGD
>>> import torch

>>> acqu = HadamSplit2d(32, M=400)
>>> prep = UnsplitRescale()
>>> recnet = LearnedPGD(acqu, prep)
>>> x = torch.FloatTensor(10,1,32,32).uniform_(-1, 1)
>>> z = recnet.acquire(x)
>>> print(z.shape)
torch.Size([10, 1, 800])