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Functions981 in github.com/Meshcapade/difflocks

Functiondeterminant
* \brief Computes the determinant of this matrix * \return The determinant */
extensions/include/cuMat/src/DecompositionBase.h:41
Methoddeterminant
* \brief Computes the determinant of this matrix * \return The determinant */
extensions/include/cuMat/src/CholeskyDecomposition.h:130
Functiondiff_spline
(hair_data_dict, nr_verts_per_strand=256)
utils/strand_util.py:352
Functiondilate_erode_mask
(mask)
utils/general_util.py:407
Functiondirect
* \brief Returns a wrapper class for direct coefficient access. * If this wrapper is used, a call to \ref coeff(Index row, Index col, Index batch
extensions/include/cuMat/src/SparseMatrix.h:230
Functiondownload_file
Downloads a file if it does not exist, optionally checking its SHA-256 hash.
k_diffusion/utils.py:57
Functiondraw_facepose
(image, lmks,eps=1)
utils/general_util.py:164
MethodelapsedTime
* Returns the elapsed time in milliseconds between the two recorded events. */
extensions/include/cuMat/src/Context.h:544
Functionema_update
Incorporates updated model parameters into an exponential moving averaged version of a model. It should be called after each optimizer step.
k_diffusion/utils.py:90
Functionema_update_dict
(values, updates, decay)
k_diffusion/utils.py:452
Functionenable_stratified_accelerate
A context manager that enables stratified sampling, distributing the strata across all processes and gradient accumulation steps using settings fr
k_diffusion/utils.py:298
Methodepoch_ended
(self, phase, **kwargs)
callbacks/wandb_callback.py:25
Methodepoch_ended
(self, **kwargs)
callbacks/callback.py:74
Methodepoch_ended
(self, phase, **kwargs)
callbacks/tensorboard_callback.py:41
Methodepoch_ended
(self, phase, **kwargs)
callbacks/state_callback.py:26
Methodepoch_started
(self, **kwargs)
callbacks/callback.py:68
Methodepoch_started
(self, phase, **kwargs)
callbacks/state_callback.py:20
Methodepsilon
extensions/include/cuMat/src/NumTraits.h:50
Methodepsilon
extensions/include/cuMat/src/NumTraits.h:64
Methodepsilon
extensions/include/cuMat/src/NumTraits.h:77
Methodepsilon
extensions/include/cuMat/src/NumTraits.h:91
Methodepsilon
extensions/include/cuMat/src/NumTraits.h:105
Functionerror
\returns the tolerance error reached during the last solve. * It is a close approximation of the true relative residual error |Ax-b|/|b|.
extensions/include/cuMat/src/IterativeSolverBase.h:107
Functioneval
extensions/include/cuMat/src/SparseMatrix.h:241
Methodeval
extensions/include/cuMat/src/ReductionOps.h:172
Methodeval
extensions/include/cuMat/src/ReductionOps.h:203
Methodeval
extensions/include/cuMat/src/ReductionOps.h:273
Methodeval
extensions/include/cuMat/src/ReductionOps.h:331
Methodeval
extensions/include/cuMat/src/ReductionOps.h:379
Methodeval
extensions/include/cuMat/src/ReductionOps.h:428
Methodeval
extensions/include/cuMat/src/ReductionOps.h:470
Methodeval
extensions/include/cuMat/src/ReductionOps.h:551
Methodeval
extensions/include/cuMat/src/ReductionOps.h:568
Methodeval
extensions/include/cuMat/src/ReductionOps.h:616
Methodeval
extensions/include/cuMat/src/ReductionOps.h:637
Methodeval
extensions/include/cuMat/src/SimpleRandom.h:23
Methodeval
extensions/include/cuMat/src/SimpleRandom.h:57
Methodeval
extensions/include/cuMat/src/SimpleRandom.h:66
Methodeval
extensions/include/cuMat/src/SimpleRandom.h:74
Methodeval
extensions/include/cuMat/src/SimpleRandom.h:83
Methodeval
extensions/include/cuMat/src/SimpleRandom.h:93
Methodeval
extensions/include/cuMat/src/SimpleRandom.h:103
MethodevalError
extensions/include/cuMat/src/Errors.h:87
MethodevalErrorNoThrow
extensions/include/cuMat/src/Errors.h:103
MethodevalImpl
implementation for direct matrix output
extensions/include/cuMat/src/ProductOp.h:326
MethodevalImpl
extensions/include/cuMat/src/DenseLinAlgOps.h:647
MethodevalImpl
extensions/include/cuMat/src/DenseLinAlgOps.h:765
MethodevalTo
extensions/include/cuMat/src/ReductionOps.h:729
MethodevalTo
extensions/include/cuMat/src/ReductionOps.h:827
MethodevalToImpl
extensions/include/cuMat/src/TransposeOp.h:194
MethodevalToImplDirect
extensions/include/cuMat/src/TransposeOp.h:217
Functioneval_mode
A context manager that places a model into evaluation mode and restores the previous mode on exit.
k_diffusion/utils.py:83
Methodextra_repr
(self)
k_diffusion/models/axial_rope.py:95
Methodextra_repr
(self)
k_diffusion/models/modules.py:185
Methodextra_repr
(self)
k_diffusion/models/modules.py:256
Methodextra_repr
(self)
k_diffusion/models/modules.py:381
Methodextra_repr
(self)
k_diffusion/models/modules.py:425
Methodextra_repr
(self)
k_diffusion/models/modules.py:475
MethodextractDiagonal
extensions/include/cuMat/src/UnaryOps.h:425
MethodfillUniform
extensions/include/cuMat/src/SimpleRandom.h:230
Functionflop_counter
(enable=True)
k_diffusion/models/flops.py:11
Methodflops
(self)
k_diffusion/models/flops.py:28
Functionfn
(tau)
k_diffusion/sampling.py:250
Methodforward
(self, x, gain=1)
modules/networks.py:17
Methodforward
(self, x)
modules/networks.py:44
Methodforward
(self, input)
modules/networks.py:63
Methodforward
(self, x)
modules/networks.py:97
Methodforward
(self, x)
modules/edm2_modules.py:11
Methodforward
(ctx, sv)
utils/vis_util.py:7
Methodforward
(self, input, sigma, **kwargs)
k_diffusion/layers.py:216
Methodforward
(self, input)
k_diffusion/layers.py:259
Methodforward
(self, input, cond=None)
k_diffusion/layers.py:274
Methodforward
(self, input, cond)
k_diffusion/layers.py:279
Methodforward
(self, input, cond)
k_diffusion/layers.py:294
Methodforward
(self, input, cond)
k_diffusion/layers.py:309
Methodforward
(self, input, cond)
k_diffusion/layers.py:330
Methodforward
(self, input, cond)
k_diffusion/layers.py:357
Methodforward
(self, x)
k_diffusion/layers.py:396
Methodforward
(self, x)
k_diffusion/layers.py:412
Methodforward
(self, input)
k_diffusion/layers.py:428
Methodforward
(self, input, cond)
k_diffusion/layers.py:442
Methodforward
(self, x, sigma, latents_dict=None, aug_cond=None, class_cond=None, mapping_cond=None, cross_cond=None, cam=No
k_diffusion/models/image_transformer_v2_conditional.py:218
Methodforward
(self, x, pos)
k_diffusion/models/axial_rope.py:107
Methodforward
(self, x)
k_diffusion/models/modules.py:137
Methodforward
(self, x)
k_diffusion/models/modules.py:150
Methodforward
(self, x)
k_diffusion/models/modules.py:160
Methodforward
(self, x)
k_diffusion/models/modules.py:174
Methodforward
(self, x, cond)
k_diffusion/models/modules.py:188
Methodforward
(x, theta, conj)
k_diffusion/models/modules.py:227
Methodforward
(self, pos)
k_diffusion/models/modules.py:259
Methodforward
(self, x, pos, cond)
k_diffusion/models/modules.py:384
Methodforward
(self, x, pos, cond)
k_diffusion/models/modules.py:428
Methodforward
(self, x, pos, cond)
k_diffusion/models/modules.py:478
Methodforward
(self, x, cond)
k_diffusion/models/modules.py:502
Methodforward
(self, x, pos, cond)
k_diffusion/models/modules.py:516
Methodforward
(self, x, pos, cond)
k_diffusion/models/modules.py:527
Methodforward
(self, x, pos, cond)
k_diffusion/models/modules.py:539
Methodforward
(self, x, pos, cond)
k_diffusion/models/modules.py:550
Methodforward
(self, x)
k_diffusion/models/modules.py:572
Methodforward
(self, x)
k_diffusion/models/modules.py:587
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