Skip to main content

Ctrl+K

Quickstart
Examples
User Guide
API
Finding Help
- How to Contribute
- Community

Quickstart
Examples
User Guide
API
Finding Help
How to Contribute
Community

Section Navigation

deepinv.datasets
deepinv.loss
deepinv.models
deepinv.metric
- Metric
- MSE
- NMSE
- MAE
- PSNR
- SSIM
- QNR
- L1L2
- LpNorm
- LPIPS
- NIQE
deepinv.optim
- optim_builder
- BaseOptim
- Potential
- DataFidelity
- L1
- L2
- IndicatorL2
- PoissonLikelihood
- LogPoissonLikelihood
- AmplitudeLoss
- Prior
- PnP
- RED
- ScorePrior
- Tikhonov
- L1Prior
- WaveletPrior
- TVPrior
- PatchPrior
- PatchNR
- L12Prior
- DPIR
- EPLL
- Bregman
- BregmanL2
- BurgEntropy
- NegEntropy
- Bregman_ICNN
- Distance
- L2Distance
- IndicatorL2Distance
- PoissonLikelihoodDistance
- L1Distance
- AmplitudeLossDistance
- LogPoissonLikelihoodDistance
- FixedPoint
- OptimIterator
- fStep
- gStep
- GDIteration
- PGDIteration
- FISTAIteration
- CPIteration
- ADMMIteration
- DRSIteration
- HQSIteration
- MDIteration
- SMIteration
- conjugate_gradient
- gradient_descent
- GaussianMixtureModel
deepinv.physics
deepinv.sampling
- DDRM
- DiffPIR
- DPS
- DiffusionSampler
- MonteCarlo
- ULA
- SKRock
deepinv.transform
- Transform
- Rotate
- Shift
- Scale
- Reflect
- Homography
- Euclidean
- Similarity
- Affine
- PanTiltRotate
- CPABDiffeomorphism
- ShiftTime
deepinv.training
- Trainer
- AdversarialTrainer
- train
- test
deepinv.unfolded
deepinv.utils

API
deepinv.utils
randn_like

randn_like#

class deepinv.utils.randn_like(x)[source]#

Bases:

Returns a deepinv.utils.TensorList or torch.Tensor with the same type as x, filled with standard gaussian numbers.

previous

ones_like

next

rand_like

On this page

randn_like

© Copyright 2024, deepinverse contributors.

Created using Sphinx 7.4.7.

Built with the PyData Sphinx Theme 0.16.0.