Index

A

abs() (in module torchlib.base.mathops) accc() (in module torchlib.dsp.correlation) accuracy() (in module torchlib.evaluation.classification) ActNorm (class in torchlib.module.layers.flow_layers) add() (torchlib.summary.loss_log.LossLog method)

AffineCoupling (class in torchlib.module.layers.flow_layers) arraycomb() (in module torchlib.base.arrayops) assign() (torchlib.summary.loss_log.LossLog method) awgn() (in module torchlib.dsp.ffts1) (in module torchlib.misc.noising)

B

backward() (torchlib.module.dsp.interpolation.Interp1 static method) (torchlib.module.loss.semantic.EdgeAwareLoss method) BalaConv2d (class in torchlib.module.layers.balanceconv2d)

bias (torchlib.module.layers.balanceconv2d.BalaConv2d attribute), [1] Binary (class in torchlib.spl.spfunction) (class in torchlib.spl.voptimizer)

C

c2r() (in module torchlib.base.mathops) calc_weight() (torchlib.module.layers.flow_layers.InvConv2dLU method) cat() (in module torchlib.base.baseops) chirp() (in module torchlib.dsp.normalsignals) complex_dropout() (in module torchlib.layerfunction.complex_functions) complex_dropout2d() (in module torchlib.layerfunction.complex_functions) complex_leaky_relu() (in module torchlib.layerfunction.complex_functions) complex_max_pool1d() (in module torchlib.layerfunction.complex_functions) complex_max_pool2d() (in module torchlib.layerfunction.complex_functions) complex_relu() (in module torchlib.layerfunction.complex_functions) complex_upsample() (in module torchlib.layerfunction.complex_functions) ComplexBatchNorm1d (class in torchlib.module.layers.complex_layers) ComplexBatchNorm2d (class in torchlib.module.layers.complex_layers) ComplexConv1 (class in torchlib.module.layers.complex_layers) ComplexConv1d (class in torchlib.module.layers.complex_layers) ComplexConv2 (class in torchlib.module.layers.complex_layers) ComplexConv2d (class in torchlib.module.layers.complex_layers) ComplexConvTranspose1d (class in torchlib.module.layers.complex_layers) ComplexConvTranspose2d (class in torchlib.module.layers.complex_layers) ComplexDropout (class in torchlib.module.layers.complex_layers) ComplexDropout2d (class in torchlib.module.layers.complex_layers) ComplexLeakyReLU (class in torchlib.module.layers.complex_layers) ComplexLinear (class in torchlib.module.layers.complex_layers) ComplexMaxPool1 (class in torchlib.module.layers.complex_layers) ComplexMaxPool1d (class in torchlib.module.layers.complex_layers) ComplexMaxPool2 (class in torchlib.module.layers.complex_layers) ComplexMaxPool2d (class in torchlib.module.layers.complex_layers)

ComplexPhaseConv1d (class in torchlib.module.layers.phase_convolution) ComplexPhaseConv2d (class in torchlib.module.layers.phase_convolution) ComplexPhaseConvTranspose1d (class in torchlib.module.layers.phase_convolution) ComplexPhaseConvTranspose2d (class in torchlib.module.layers.phase_convolution) ComplexReLU (class in torchlib.module.layers.complex_layers) ComplexSequential (class in torchlib.module.layers.complex_layers) ComplexSoftShrink (class in torchlib.module.layers.complex_layers) ComplexUpsample (class in torchlib.module.layers.complex_layers) conj() (in module torchlib.base.mathops) Contrast (class in torchlib.module.evaluation.contrast) contrast() (in module torchlib.evaluation.contrast) ContrastLoss (class in torchlib.module.loss.contrast) Conv1 (class in torchlib.module.dsp.convolution) (class in torchlib.module.layers.convolution) Conv2 (class in torchlib.module.dsp.convolution) (class in torchlib.module.layers.convolution) ConvSize1d() (in module torchlib.module.layers.cnnsize) ConvSize2d() (in module torchlib.module.layers.cnnsize) ConvTransposeSize1d() (in module torchlib.module.layers.cnnsize) ConvTransposeSize2d() (in module torchlib.module.layers.cnnsize) cplot() (in module torchlib.utils.plot_show) csign() (in module torchlib.layerfunction.cplxfunc) csoftshrink() (in module torchlib.layerfunction.cplxfunc) ct2rt() (in module torchlib.misc.transform) cut() (in module torchlib.base.arrayops) cutfftconv1() (in module torchlib.dsp.convolution) cutfftcorr1() (in module torchlib.dsp.correlation)

D

DataConsistency2d (class in torchlib.module.layers.consistency_layers) db20() (in module torchlib.misc.transform) device_transfer() (in module torchlib.optim.save_load) Dice (class in torchlib.module.evaluation.retrieval) dice_coeff() (in module torchlib.evaluation.similarity) DiceLoss (class in torchlib.module.loss.retrieval)

dilation (torchlib.module.layers.balanceconv2d.BalaConv2d attribute) dmka() (in module torchlib.base.baseops) dnsampling() (in module torchlib.misc.sampling) draw_eclipse() (in module torchlib.misc.draw_shapes) draw_rectangle() (in module torchlib.misc.draw_shapes) dreplace() (in module torchlib.base.baseops)

E

ebeo() (in module torchlib.base.mathops) EdgeAwareLoss (class in torchlib.module.loss.semantic) EdgeDetector (class in torchlib.module.layers.edge) EdgeFeatureExtractor (class in torchlib.module.layers.edge) EdgeLoss (class in torchlib.module.loss.semantic) ematmul() (in module torchlib.base.mathops) Entropy (class in torchlib.module.evaluation.entropy)

entropy() (in module torchlib.evaluation.entropy) EntropyLoss (class in torchlib.module.loss.entropy) eval() (torchlib.spl.spfunction.Binary method) (torchlib.spl.spfunction.Linear method) (torchlib.spl.spfunction.Logarithmic method) (torchlib.spl.spfunction.Mixture method) evaluate() (torchlib.module.loss.semantic.EdgeAwareLoss method)

F

F1 (class in torchlib.module.evaluation.retrieval) F1Loss (class in torchlib.module.loss.retrieval) false_alarm_rate() (in module torchlib.evaluation.retrieval) false_negative() (in module torchlib.evaluation.retrieval) false_positive() (in module torchlib.evaluation.retrieval) fft() (in module torchlib.dsp.ffts) FFTConv1 (class in torchlib.module.dsp.convolution) (class in torchlib.module.layers.convolution) fftconv1() (in module torchlib.dsp.convolution) fftcorr1() (in module torchlib.dsp.correlation) fftfreq() (in module torchlib.dsp.ffts) FFTLayer1d (class in torchlib.module.layers.fft_layers) fftshift() (in module torchlib.dsp.ffts) fileparts() (in module torchlib.utils.file) find() (torchlib.optim.learning_rate.LrFinder method) fit() (torchlib.module.loss.semantic.EdgeAwareLoss method) Flow (class in torchlib.module.layers.flow_layers) FlowBlock (class in torchlib.module.layers.flow_layers) fmeasure() (in module torchlib.evaluation.retrieval) Fnorm (class in torchlib.module.evaluation.norm) fnorm() (in module torchlib.evaluation.norm) FnormLoss (class in torchlib.module.loss.norm) forward() (torchlib.module.dsp.convolution.Conv1 method) (torchlib.module.dsp.convolution.Conv2 method) (torchlib.module.dsp.convolution.FFTConv1 method) (torchlib.module.dsp.convolution.MaxPool1 method) (torchlib.module.dsp.convolution.MaxPool2 method) (torchlib.module.dsp.interpolation.Interp1 method) (torchlib.module.dsp.polynomialfit.PolyFit method) (torchlib.module.evaluation.contrast.Contrast method) (torchlib.module.evaluation.entropy.Entropy method) (torchlib.module.evaluation.error.MAE method) (torchlib.module.evaluation.error.MSE method) (torchlib.module.evaluation.error.SAE method) (torchlib.module.evaluation.error.SSE method) (torchlib.module.evaluation.norm.Fnorm method) (torchlib.module.evaluation.norm.Pnorm method) (torchlib.module.evaluation.retrieval.F1 method) (torchlib.module.evaluation.retrieval.Iridescent method) (torchlib.module.evaluation.retrieval.Jaccard method) (torchlib.module.evaluation.ssims.MSSSIM method) (torchlib.module.evaluation.ssims.SSIM method) (torchlib.module.evaluation.variation.TotalVariation method) (torchlib.module.layers.balanceconv2d.BalaConv2d method) (torchlib.module.layers.complex_layers.ComplexBatchNorm1d method) (torchlib.module.layers.complex_layers.ComplexBatchNorm2d method) (torchlib.module.layers.complex_layers.ComplexConv1 method) (torchlib.module.layers.complex_layers.ComplexConv1d method) (torchlib.module.layers.complex_layers.ComplexConv2 method) (torchlib.module.layers.complex_layers.ComplexConv2d method) (torchlib.module.layers.complex_layers.ComplexConvTranspose1d method) (torchlib.module.layers.complex_layers.ComplexConvTranspose2d method) (torchlib.module.layers.complex_layers.ComplexDropout method) (torchlib.module.layers.complex_layers.ComplexDropout2d method) (torchlib.module.layers.complex_layers.ComplexLeakyReLU method) (torchlib.module.layers.complex_layers.ComplexLinear method) (torchlib.module.layers.complex_layers.ComplexMaxPool1 method) (torchlib.module.layers.complex_layers.ComplexMaxPool1d method) (torchlib.module.layers.complex_layers.ComplexMaxPool2 method) (torchlib.module.layers.complex_layers.ComplexMaxPool2d method) (torchlib.module.layers.complex_layers.ComplexReLU method) (torchlib.module.layers.complex_layers.ComplexSequential method) (torchlib.module.layers.complex_layers.ComplexSoftShrink method) (torchlib.module.layers.complex_layers.ComplexUpsample method) (torchlib.module.layers.complex_layers.NaiveComplexBatchNorm1d method) (torchlib.module.layers.complex_layers.NaiveComplexBatchNorm2d method) (torchlib.module.layers.complex_layers.SoftShrink method) (torchlib.module.layers.consistency_layers.DataConsistency2d method) (torchlib.module.layers.convolution.Conv1 method) (torchlib.module.layers.convolution.Conv2 method) (torchlib.module.layers.convolution.FFTConv1 method) (torchlib.module.layers.convolution.MaxPool1 method) (torchlib.module.layers.convolution.MaxPool2 method) (torchlib.module.layers.edge.EdgeDetector method) (torchlib.module.layers.edge.EdgeFeatureExtractor method) (torchlib.module.layers.fft_layers.FFTLayer1d method) (torchlib.module.layers.flow_layers.ActNorm method) (torchlib.module.layers.flow_layers.AffineCoupling method) (torchlib.module.layers.flow_layers.Flow method) (torchlib.module.layers.flow_layers.FlowBlock method) (torchlib.module.layers.flow_layers.Glow method) (torchlib.module.layers.flow_layers.InvConv2d method) (torchlib.module.layers.flow_layers.InvConv2dLU method) (torchlib.module.layers.flow_layers.ZeroConv2d method) (torchlib.module.layers.gaborconv2d.GaborConv2d method) (torchlib.module.layers.phase_convolution.ComplexPhaseConv1d method) (torchlib.module.layers.phase_convolution.ComplexPhaseConv2d method) (torchlib.module.layers.phase_convolution.ComplexPhaseConvTranspose1d method) (torchlib.module.layers.phase_convolution.ComplexPhaseConvTranspose2d method) (torchlib.module.layers.phase_convolution.PhaseConv1d method) (torchlib.module.layers.phase_convolution.PhaseConv2d method) (torchlib.module.layers.phase_convolution.PhaseConvTranspose1d method) (torchlib.module.layers.phase_convolution.PhaseConvTranspose2d method) (torchlib.module.layers.pool.MeanSquarePool2d method) (torchlib.module.layers.pool.PnormPool2d method) (torchlib.module.loss.contrast.ContrastLoss method) (torchlib.module.loss.contrast.NegativeContrastLoss method) (torchlib.module.loss.contrast.ReciprocalContrastLoss method) (torchlib.module.loss.entropy.EntropyLoss method) (torchlib.module.loss.error.MAELoss method) (torchlib.module.loss.error.MSELoss method) (torchlib.module.loss.error.SAELoss method) (torchlib.module.loss.error.SSELoss method) (torchlib.module.loss.fourier.FourierAmplitudeLoss method) (torchlib.module.loss.fourier.FourierLoss method) (torchlib.module.loss.fourier.FourierNormLoss method) (torchlib.module.loss.fourier.FourierPhaseLoss method) (torchlib.module.loss.norm.FnormLoss method) (torchlib.module.loss.norm.PnormLoss method) (torchlib.module.loss.perceptual.RandomProjectionLoss method) (torchlib.module.loss.retrieval.F1Loss method) (torchlib.module.loss.retrieval.IridescentLoss method) (torchlib.module.loss.retrieval.JaccardLoss method) (torchlib.module.loss.semantic.EdgeAwareLoss method) (torchlib.module.loss.semantic.EdgeLoss method) (torchlib.module.loss.sparse_metric.FourierLogSparseLoss method) (torchlib.module.loss.sparse_metric.LogSparseLoss method) (torchlib.module.loss.variation.TotalVariation method) (torchlib.module.misc.transform.Standardization method)

FourierAmplitudeLoss (class in torchlib.module.loss.fourier) FourierLogSparseLoss (class in torchlib.module.loss.sparse_metric) FourierLoss (class in torchlib.module.loss.fourier) FourierNormLoss (class in torchlib.module.loss.fourier) FourierPhaseLoss (class in torchlib.module.loss.fourier) freq() (in module torchlib.dsp.ffts)

G

gabor_fn() (in module torchlib.module.layers.gaborconv2d) GaborConv2d (class in torchlib.module.layers.gaborconv2d) gammalr() (in module torchlib.optim.learning_rate) gaussian_filter() (in module torchlib.evaluation.ssims) gaussian_log_p() (in module torchlib.module.layers.flow_layers) gaussian_sample() (in module torchlib.module.layers.flow_layers)

GaussianLR (class in torchlib.optim.lr_scheduler) get() (torchlib.summary.loss_log.LossLog method) get_lr() (torchlib.optim.lr_scheduler.GaussianLR method) (torchlib.optim.lr_scheduler.MountainLR method) Glow (class in torchlib.module.layers.flow_layers) gray2rgb() (in module torchlib.utils.colors) groups (torchlib.module.layers.balanceconv2d.BalaConv2d attribute)

H

histeq() (in module torchlib.utils.image)

I

ifft() (in module torchlib.dsp.ffts) ifftshift() (in module torchlib.dsp.ffts) imadjust() (in module torchlib.utils.image) imadjustlog() (in module torchlib.utils.image) imag() (in module torchlib.base.mathops) imnoise() (in module torchlib.dsp.ffts1) (in module torchlib.misc.noising) imread() (in module torchlib.utils.image) imresize() (in module torchlib.utils.image)

imsave() (in module torchlib.utils.image) initialize() (torchlib.module.layers.flow_layers.ActNorm method) Interp1 (class in torchlib.module.dsp.interpolation) interpolate() (in module torchlib.dsp.interpolation) interpolatec() (in module torchlib.dsp.interpolation) InvConv2d (class in torchlib.module.layers.flow_layers) InvConv2dLU (class in torchlib.module.layers.flow_layers) Iridescent (class in torchlib.module.evaluation.retrieval) IridescentLoss (class in torchlib.module.loss.retrieval)

J

Jaccard (class in torchlib.module.evaluation.retrieval) jaccard_index() (in module torchlib.evaluation.similarity)

JaccardLoss (class in torchlib.module.loss.retrieval) judge() (torchlib.summary.loss_log.LossLog method)

K

kernel_size (torchlib.module.layers.balanceconv2d.BalaConv2d attribute)

L

Linear (class in torchlib.spl.spfunction) (class in torchlib.spl.voptimizer) listxfile() (in module torchlib.utils.file) loadh5() (in module torchlib.utils.ios) loadjson() (in module torchlib.utils.ios) loadmat() (in module torchlib.utils.ios)

loadyaml() (in module torchlib.utils.ios) logabs() (in module torchlib.module.layers.flow_layers) Logarithmic (class in torchlib.spl.spfunction) (class in torchlib.spl.voptimizer) LogSparseLoss (class in torchlib.module.loss.sparse_metric) LossLog (class in torchlib.summary.loss_log) LrFinder (class in torchlib.optim.learning_rate)

M

MAE (class in torchlib.module.evaluation.error) mae() (in module torchlib.evaluation.error) MAELoss (class in torchlib.module.loss.error) mapping() (in module torchlib.misc.mapping_operation) matmul() (in module torchlib.base.mathops) matnoise() (in module torchlib.dsp.ffts1) (in module torchlib.misc.noising) MaxPool1 (class in torchlib.module.dsp.convolution) (class in torchlib.module.layers.convolution) MaxPool2 (class in torchlib.module.dsp.convolution) (class in torchlib.module.layers.convolution) MeanSquarePool2d (class in torchlib.module.layers.pool) meta_optimize() (torchlib.module.loss.semantic.EdgeAwareLoss method) miss_alarm_rate() (in module torchlib.evaluation.retrieval) Mixture (class in torchlib.spl.spfunction) (class in torchlib.spl.voptimizer) module torchlib torchlib.base torchlib.base.arrayops torchlib.base.baseops torchlib.base.mathops torchlib.base.randomfunc torchlib.diagnose torchlib.diagnose.plotgradflow torchlib.dsp torchlib.dsp.convolution torchlib.dsp.correlation torchlib.dsp.ffts torchlib.dsp.ffts1 torchlib.dsp.function_base torchlib.dsp.interpolation torchlib.dsp.kernels torchlib.dsp.normalsignals torchlib.dsp.polynomialfit torchlib.dsp.window_function torchlib.evaluation torchlib.evaluation.classification torchlib.evaluation.contrast torchlib.evaluation.entropy torchlib.evaluation.error torchlib.evaluation.norm torchlib.evaluation.retrieval torchlib.evaluation.similarity torchlib.evaluation.ssims torchlib.layerfunction torchlib.layerfunction.complex_functions torchlib.layerfunction.cplxfunc torchlib.linalg torchlib.linalg.orthogonalization torchlib.misc torchlib.misc.draw_shapes torchlib.misc.mapping_operation torchlib.misc.noising torchlib.misc.sampling torchlib.misc.transform torchlib.module torchlib.module.dsp torchlib.module.dsp.convolution torchlib.module.dsp.interpolation torchlib.module.dsp.polynomialfit torchlib.module.evaluation torchlib.module.evaluation.contrast torchlib.module.evaluation.entropy torchlib.module.evaluation.error torchlib.module.evaluation.norm torchlib.module.evaluation.retrieval torchlib.module.evaluation.ssims torchlib.module.evaluation.variation torchlib.module.layers torchlib.module.layers.balanceconv2d torchlib.module.layers.cnnsize torchlib.module.layers.complex_layers torchlib.module.layers.consistency_layers torchlib.module.layers.convolution torchlib.module.layers.edge torchlib.module.layers.fft_layers torchlib.module.layers.flow_layers torchlib.module.layers.gaborconv2d torchlib.module.layers.phase_convolution torchlib.module.layers.pool torchlib.module.loss torchlib.module.loss.contrast torchlib.module.loss.entropy torchlib.module.loss.error torchlib.module.loss.fourier torchlib.module.loss.norm torchlib.module.loss.perceptual torchlib.module.loss.retrieval torchlib.module.loss.semantic torchlib.module.loss.sparse_metric torchlib.module.loss.variation torchlib.module.misc torchlib.module.misc.transform torchlib.optim torchlib.optim.learning_rate torchlib.optim.lr_scheduler torchlib.optim.save_load torchlib.spl torchlib.spl.spfunction torchlib.spl.voptimizer torchlib.summary torchlib.summary.loss_log torchlib.utils torchlib.utils.colormaps torchlib.utils.colors torchlib.utils.const torchlib.utils.convert torchlib.utils.file torchlib.utils.image torchlib.utils.ios torchlib.utils.plot_show torchlib.version

MountainLR (class in torchlib.optim.lr_scheduler) MSE (class in torchlib.module.evaluation.error) mse() (in module torchlib.evaluation.error) MSELoss (class in torchlib.module.loss.error) MSSSIM (class in torchlib.module.evaluation.ssims) msssim() (in module torchlib.evaluation.ssims) mvkeyh5() (in module torchlib.utils.ios)

N

NaiveComplexBatchNorm1d (class in torchlib.module.layers.complex_layers) NaiveComplexBatchNorm2d (class in torchlib.module.layers.complex_layers)

NegativeContrastLoss (class in torchlib.module.loss.contrast) nextpow2() (in module torchlib.base.mathops)

O

orth() (in module torchlib.linalg.orthogonalization)

out_channels (torchlib.module.layers.balanceconv2d.BalaConv2d attribute) output_padding (torchlib.module.layers.balanceconv2d.BalaConv2d attribute)

P

padding (torchlib.module.layers.balanceconv2d.BalaConv2d attribute) padding_mode (torchlib.module.layers.balanceconv2d.BalaConv2d attribute) padfft() (in module torchlib.dsp.ffts) patch2tensor() (in module torchlib.misc.sampling) pathjoin() (in module torchlib.utils.file) permutation() (in module torchlib.base.randomfunc) PhaseConv1d (class in torchlib.module.layers.phase_convolution) PhaseConv2d (class in torchlib.module.layers.phase_convolution) PhaseConvTranspose1d (class in torchlib.module.layers.phase_convolution) PhaseConvTranspose2d (class in torchlib.module.layers.phase_convolution) plot() (torchlib.optim.learning_rate.LrFinder method) (torchlib.summary.loss_log.LossLog method) plot_gradflow_v1() (in module torchlib.diagnose.plotgradflow) plot_gradflow_v2() (in module torchlib.diagnose.plotgradflow)

Plots (class in torchlib.utils.plot_show) plots() (in module torchlib.utils.plot_show) Pnorm (class in torchlib.module.evaluation.norm) pnorm() (in module torchlib.evaluation.norm) PnormLoss (class in torchlib.module.loss.norm) PnormPool2d (class in torchlib.module.layers.pool) PolyFit (class in torchlib.module.dsp.polynomialfit) polyfit() (in module torchlib.dsp.polynomialfit) polyval() (in module torchlib.dsp.polynomialfit) PoolSize1d() (in module torchlib.module.layers.cnnsize) PoolSize2d() (in module torchlib.module.layers.cnnsize) pow() (in module torchlib.base.mathops) precision() (in module torchlib.evaluation.retrieval) prevpow2() (in module torchlib.base.mathops)

Q

quantization() (in module torchlib.misc.transform)

R

r2c() (in module torchlib.base.mathops) randgrid() (in module torchlib.base.randomfunc) RandomProjectionLoss (class in torchlib.module.loss.perceptual) randperm() (in module torchlib.base.randomfunc) randperm2d() (in module torchlib.base.randomfunc) read_samples() (in module torchlib.misc.sampling) readcsv() (in module torchlib.utils.file) readnum() (in module torchlib.utils.file) readsec() (in module torchlib.utils.file) readtxt() (in module torchlib.utils.file) real() (in module torchlib.base.mathops) recall() (in module torchlib.evaluation.retrieval)

ReciprocalContrastLoss (class in torchlib.module.loss.contrast) rect() (in module torchlib.dsp.normalsignals) reverse() (torchlib.module.layers.flow_layers.ActNorm method) (torchlib.module.layers.flow_layers.AffineCoupling method) (torchlib.module.layers.flow_layers.Flow method) (torchlib.module.layers.flow_layers.FlowBlock method) (torchlib.module.layers.flow_layers.Glow method) (torchlib.module.layers.flow_layers.InvConv2d method) (torchlib.module.layers.flow_layers.InvConv2dLU method) rgb2gray() (in module torchlib.utils.colors) rmlinear() (in module torchlib.dsp.polynomialfit) rt2ct() (in module torchlib.misc.transform)

S

SAE (class in torchlib.module.evaluation.error) sae() (in module torchlib.evaluation.error) SAELoss (class in torchlib.module.loss.error) sample_tensor() (in module torchlib.misc.sampling) saveh5() (in module torchlib.utils.ios) savemat() (in module torchlib.utils.ios) scale() (in module torchlib.misc.transform) selectivity() (in module torchlib.evaluation.retrieval) sensitivity() (in module torchlib.evaluation.retrieval) setseed() (in module torchlib.base.randomfunc) shuffle_tensor() (in module torchlib.misc.sampling) sinc() (in module torchlib.base.mathops) sl() (in module torchlib.base.arrayops) slidegrid() (in module torchlib.misc.sampling) soft_dice_coeff() (torchlib.module.evaluation.retrieval.Dice method) (torchlib.module.loss.retrieval.DiceLoss method) SoftShrink (class in torchlib.module.layers.complex_layers)

softshrink() (in module torchlib.layerfunction.cplxfunc) split_tensor() (in module torchlib.misc.sampling) SSE (class in torchlib.module.evaluation.error) sse() (in module torchlib.evaluation.error) SSELoss (class in torchlib.module.loss.error) SSIM (class in torchlib.module.evaluation.ssims) ssim() (in module torchlib.evaluation.ssims) Standardization (class in torchlib.module.misc.transform) standardization() (in module torchlib.misc.transform) step() (torchlib.spl.voptimizer.Binary method) (torchlib.spl.voptimizer.Linear method) (torchlib.spl.voptimizer.Logarithmic method) (torchlib.spl.voptimizer.Mixture method) str2list() (in module torchlib.utils.convert) str2num() (in module torchlib.utils.convert) str2sec() (in module torchlib.utils.convert) stride (torchlib.module.layers.balanceconv2d.BalaConv2d attribute)

T

tensor2patch() (in module torchlib.misc.sampling) torchlib module torchlib.base module torchlib.base.arrayops module torchlib.base.baseops module torchlib.base.mathops module torchlib.base.randomfunc module torchlib.diagnose module torchlib.diagnose.plotgradflow module torchlib.dsp module torchlib.dsp.convolution module torchlib.dsp.correlation module torchlib.dsp.ffts module torchlib.dsp.ffts1 module torchlib.dsp.function_base module torchlib.dsp.interpolation module torchlib.dsp.kernels module torchlib.dsp.normalsignals module torchlib.dsp.polynomialfit module torchlib.dsp.window_function module torchlib.evaluation module torchlib.evaluation.classification module torchlib.evaluation.contrast module torchlib.evaluation.entropy module torchlib.evaluation.error module torchlib.evaluation.norm module torchlib.evaluation.retrieval module torchlib.evaluation.similarity module torchlib.evaluation.ssims module torchlib.layerfunction module torchlib.layerfunction.complex_functions module torchlib.layerfunction.cplxfunc module torchlib.linalg module torchlib.linalg.orthogonalization module torchlib.misc module torchlib.misc.draw_shapes module torchlib.misc.mapping_operation module torchlib.misc.noising module torchlib.misc.sampling module torchlib.misc.transform module torchlib.module module torchlib.module.dsp module torchlib.module.dsp.convolution module torchlib.module.dsp.interpolation module torchlib.module.dsp.polynomialfit module torchlib.module.evaluation module torchlib.module.evaluation.contrast module torchlib.module.evaluation.entropy module torchlib.module.evaluation.error module torchlib.module.evaluation.norm module torchlib.module.evaluation.retrieval module torchlib.module.evaluation.ssims module torchlib.module.evaluation.variation module torchlib.module.layers module torchlib.module.layers.balanceconv2d module torchlib.module.layers.cnnsize module torchlib.module.layers.complex_layers module torchlib.module.layers.consistency_layers module torchlib.module.layers.convolution module torchlib.module.layers.edge module torchlib.module.layers.fft_layers module torchlib.module.layers.flow_layers module torchlib.module.layers.gaborconv2d module torchlib.module.layers.phase_convolution module torchlib.module.layers.pool module torchlib.module.loss module torchlib.module.loss.contrast module torchlib.module.loss.entropy module torchlib.module.loss.error module torchlib.module.loss.fourier module torchlib.module.loss.norm module torchlib.module.loss.perceptual module torchlib.module.loss.retrieval module torchlib.module.loss.semantic module

torchlib.module.loss.sparse_metric module torchlib.module.loss.variation module torchlib.module.misc module torchlib.module.misc.transform module torchlib.optim module torchlib.optim.learning_rate module torchlib.optim.lr_scheduler module torchlib.optim.save_load module torchlib.spl module torchlib.spl.spfunction module torchlib.spl.voptimizer module torchlib.summary module torchlib.summary.loss_log module torchlib.utils module torchlib.utils.colormaps module torchlib.utils.colors module torchlib.utils.const module torchlib.utils.convert module torchlib.utils.file module torchlib.utils.image module torchlib.utils.ios module torchlib.utils.plot_show module torchlib.version module TotalVariation (class in torchlib.module.evaluation.variation) (class in torchlib.module.loss.variation) training (torchlib.module.dsp.convolution.Conv1 attribute) (torchlib.module.dsp.convolution.Conv2 attribute) (torchlib.module.dsp.convolution.FFTConv1 attribute) (torchlib.module.dsp.convolution.MaxPool1 attribute) (torchlib.module.dsp.convolution.MaxPool2 attribute) (torchlib.module.dsp.polynomialfit.PolyFit attribute) (torchlib.module.evaluation.contrast.Contrast attribute) (torchlib.module.evaluation.entropy.Entropy attribute) (torchlib.module.evaluation.error.MAE attribute) (torchlib.module.evaluation.error.MSE attribute) (torchlib.module.evaluation.error.SAE attribute) (torchlib.module.evaluation.error.SSE attribute) (torchlib.module.evaluation.norm.Fnorm attribute) (torchlib.module.evaluation.norm.Pnorm attribute) (torchlib.module.evaluation.retrieval.Dice attribute) (torchlib.module.evaluation.retrieval.F1 attribute) (torchlib.module.evaluation.retrieval.Iridescent attribute) (torchlib.module.evaluation.retrieval.Jaccard attribute) (torchlib.module.evaluation.ssims.MSSSIM attribute) (torchlib.module.evaluation.ssims.SSIM attribute) (torchlib.module.evaluation.variation.TotalVariation attribute) (torchlib.module.layers.complex_layers.ComplexBatchNorm1d attribute) (torchlib.module.layers.complex_layers.ComplexBatchNorm2d attribute) (torchlib.module.layers.complex_layers.ComplexConv1 attribute) (torchlib.module.layers.complex_layers.ComplexConv1d attribute) (torchlib.module.layers.complex_layers.ComplexConv2 attribute) (torchlib.module.layers.complex_layers.ComplexConv2d attribute) (torchlib.module.layers.complex_layers.ComplexConvTranspose1d attribute) (torchlib.module.layers.complex_layers.ComplexConvTranspose2d attribute) (torchlib.module.layers.complex_layers.ComplexDropout attribute) (torchlib.module.layers.complex_layers.ComplexDropout2d attribute) (torchlib.module.layers.complex_layers.ComplexLeakyReLU attribute) (torchlib.module.layers.complex_layers.ComplexLinear attribute) (torchlib.module.layers.complex_layers.ComplexMaxPool1 attribute) (torchlib.module.layers.complex_layers.ComplexMaxPool1d attribute) (torchlib.module.layers.complex_layers.ComplexMaxPool2 attribute) (torchlib.module.layers.complex_layers.ComplexMaxPool2d attribute) (torchlib.module.layers.complex_layers.ComplexReLU attribute) (torchlib.module.layers.complex_layers.ComplexSoftShrink attribute) (torchlib.module.layers.complex_layers.ComplexUpsample attribute) (torchlib.module.layers.complex_layers.NaiveComplexBatchNorm1d attribute) (torchlib.module.layers.complex_layers.NaiveComplexBatchNorm2d attribute) (torchlib.module.layers.complex_layers.SoftShrink attribute) (torchlib.module.layers.consistency_layers.DataConsistency2d attribute) (torchlib.module.layers.convolution.Conv1 attribute) (torchlib.module.layers.convolution.Conv2 attribute) (torchlib.module.layers.convolution.FFTConv1 attribute) (torchlib.module.layers.convolution.MaxPool1 attribute) (torchlib.module.layers.convolution.MaxPool2 attribute) (torchlib.module.layers.edge.EdgeDetector attribute) (torchlib.module.layers.edge.EdgeFeatureExtractor attribute) (torchlib.module.layers.fft_layers.FFTLayer1d attribute) (torchlib.module.layers.flow_layers.ActNorm attribute) (torchlib.module.layers.flow_layers.AffineCoupling attribute) (torchlib.module.layers.flow_layers.Flow attribute) (torchlib.module.layers.flow_layers.FlowBlock attribute) (torchlib.module.layers.flow_layers.Glow attribute) (torchlib.module.layers.flow_layers.InvConv2d attribute) (torchlib.module.layers.flow_layers.InvConv2dLU attribute) (torchlib.module.layers.flow_layers.ZeroConv2d attribute) (torchlib.module.layers.gaborconv2d.GaborConv2d attribute) (torchlib.module.layers.phase_convolution.ComplexPhaseConv1d attribute) (torchlib.module.layers.phase_convolution.ComplexPhaseConv2d attribute) (torchlib.module.layers.phase_convolution.ComplexPhaseConvTranspose1d attribute) (torchlib.module.layers.phase_convolution.ComplexPhaseConvTranspose2d attribute) (torchlib.module.layers.phase_convolution.PhaseConv1d attribute) (torchlib.module.layers.phase_convolution.PhaseConv2d attribute) (torchlib.module.layers.phase_convolution.PhaseConvTranspose1d attribute) (torchlib.module.layers.phase_convolution.PhaseConvTranspose2d attribute) (torchlib.module.layers.pool.MeanSquarePool2d attribute) (torchlib.module.layers.pool.PnormPool2d attribute) (torchlib.module.loss.contrast.ContrastLoss attribute) (torchlib.module.loss.contrast.NegativeContrastLoss attribute) (torchlib.module.loss.contrast.ReciprocalContrastLoss attribute) (torchlib.module.loss.entropy.EntropyLoss attribute) (torchlib.module.loss.error.MAELoss attribute) (torchlib.module.loss.error.MSELoss attribute) (torchlib.module.loss.error.SAELoss attribute) (torchlib.module.loss.error.SSELoss attribute) (torchlib.module.loss.fourier.FourierAmplitudeLoss attribute) (torchlib.module.loss.fourier.FourierLoss attribute) (torchlib.module.loss.fourier.FourierNormLoss attribute) (torchlib.module.loss.fourier.FourierPhaseLoss attribute) (torchlib.module.loss.norm.FnormLoss attribute) (torchlib.module.loss.norm.PnormLoss attribute) (torchlib.module.loss.perceptual.RandomProjectionLoss attribute) (torchlib.module.loss.retrieval.DiceLoss attribute) (torchlib.module.loss.retrieval.F1Loss attribute) (torchlib.module.loss.retrieval.IridescentLoss attribute) (torchlib.module.loss.retrieval.JaccardLoss attribute) (torchlib.module.loss.semantic.EdgeAwareLoss attribute) (torchlib.module.loss.semantic.EdgeLoss attribute) (torchlib.module.loss.sparse_metric.FourierLogSparseLoss attribute) (torchlib.module.loss.sparse_metric.LogSparseLoss attribute) (torchlib.module.loss.variation.TotalVariation attribute) (torchlib.module.misc.transform.Standardization attribute) transposed (torchlib.module.layers.balanceconv2d.BalaConv2d attribute) true_negative() (in module torchlib.evaluation.retrieval) true_positive() (in module torchlib.evaluation.retrieval)

U

UnPoolSize1d() (in module torchlib.module.layers.cnnsize) UnPoolSize2d() (in module torchlib.module.layers.cnnsize) unwrap() (in module torchlib.dsp.function_base) unwrap2() (in module torchlib.dsp.function_base)

update_rankr() (torchlib.spl.voptimizer.Binary method) (torchlib.spl.voptimizer.Linear method) (torchlib.spl.voptimizer.Logarithmic method) (torchlib.spl.voptimizer.Mixture method) updir() (torchlib.summary.loss_log.LossLog method)

W

weight (torchlib.module.layers.balanceconv2d.BalaConv2d attribute), [1] weight_init() (torchlib.module.loss.perceptual.RandomProjectionLoss method) wgn() (in module torchlib.dsp.ffts1) (in module torchlib.misc.noising)

window() (in module torchlib.dsp.window_function) windowing() (in module torchlib.dsp.window_function)

X

xcorr() (in module torchlib.dsp.correlation)

Z

ZeroConv2d (class in torchlib.module.layers.flow_layers)