k-diffusion 0.1.1.post1
-
PyPI https://pypi.org/project/k-diffusion/ Repository https://github.com/crowsonkb/k-diffusion -
py.typed -
Coverage
%%{init: {"pie": {"textPosition": 0.85}, "theme": "neutral", "themeVariables": {"pieStrokeWidth": "1px"}}}%% pie title "Typed" : 0 "Any" : 0 "Untyped" : 1156 -
Typables
%%{init: {"pie": {"textPosition": 0.85}, "theme": "neutral", "themeVariables": {"pieStrokeWidth": "1px"}}}%% pie title "functions" : 408 "classes" : 580 "other" : 2- 84 functions (+0 overloads)
- 324 parameters
- 58 classes
- 167 methods (+0 overloads)
- 410 parameters
- 3 properties
- 167 methods (+0 overloads)
- 12 modules
- 2 attrs
- 84 functions (+0 overloads)
Modules
Incomplete Annotations
k_diffusion.augmentation (37 missing, 0 any)
| Symbol | Typable | Typed | Any | |
|---|---|---|---|---|
meth |
KarrasAugmentWrapper.init |
2 | 0 | 0 |
meth |
KarrasAugmentWrapper.forward |
6 | 0 | 0 |
meth |
KarrasAugmentWrapper.param_groups |
3 | 0 | 0 |
meth |
KarrasAugmentWrapper.set_skip_stages |
2 | 0 | 0 |
meth |
KarrasAugmentWrapper.set_patch_size |
2 | 0 | 0 |
attr |
KarrasAugmentWrapper.inner_model |
1 | 0 | 0 |
func |
scale2d |
3 | 0 | 0 |
func |
translate2d |
3 | 0 | 0 |
func |
rotate2d |
2 | 0 | 0 |
meth |
KarrasAugmentationPipeline.init |
6 | 0 | 0 |
meth |
KarrasAugmentationPipeline.call |
2 | 0 | 0 |
attr |
KarrasAugmentationPipeline.a_prob |
1 | 0 | 0 |
attr |
KarrasAugmentationPipeline.a_scale |
1 | 0 | 0 |
attr |
KarrasAugmentationPipeline.a_aniso |
1 | 0 | 0 |
attr |
KarrasAugmentationPipeline.a_trans |
1 | 0 | 0 |
attr |
KarrasAugmentationPipeline.disable_all |
1 | 0 | 0 |
k_diffusion.config (11 missing, 0 any)
| Symbol | Typable | Typed | Any | |
|---|---|---|---|---|
func |
make_sample_density |
2 | 0 | 0 |
func |
round_to_power_of_two |
3 | 0 | 0 |
func |
make_model |
2 | 0 | 0 |
func |
make_denoiser_wrapper |
2 | 0 | 0 |
func |
load_config |
2 | 0 | 0 |
k_diffusion.evaluation (47 missing, 0 any)
| Symbol | Typable | Typed | Any | |
|---|---|---|---|---|
func |
kid |
4 | 0 | 0 |
func |
polynomial_kernel |
3 | 0 | 0 |
func |
fid |
4 | 0 | 0 |
meth |
DINOv2FeatureExtractor.init |
3 | 0 | 0 |
meth |
DINOv2FeatureExtractor.available_models |
1 | 0 | 0 |
meth |
DINOv2FeatureExtractor.forward |
2 | 0 | 0 |
attr |
DINOv2FeatureExtractor.model |
1 | 0 | 0 |
attr |
DINOv2FeatureExtractor.normalize |
1 | 0 | 0 |
attr |
DINOv2FeatureExtractor.size |
1 | 0 | 0 |
func |
compute_features |
6 | 0 | 0 |
meth |
InceptionV3FeatureExtractor.init |
2 | 0 | 0 |
meth |
InceptionV3FeatureExtractor.forward |
2 | 0 | 0 |
attr |
InceptionV3FeatureExtractor.model |
1 | 0 | 0 |
attr |
InceptionV3FeatureExtractor.size |
1 | 0 | 0 |
func |
sqrtm_eig |
2 | 0 | 0 |
func |
squared_mmd |
4 | 0 | 0 |
meth |
CLIPFeatureExtractor.init |
3 | 0 | 0 |
meth |
CLIPFeatureExtractor.available_models |
1 | 0 | 0 |
meth |
CLIPFeatureExtractor.forward |
2 | 0 | 0 |
attr |
CLIPFeatureExtractor.model |
1 | 0 | 0 |
attr |
CLIPFeatureExtractor.normalize |
1 | 0 | 0 |
attr |
CLIPFeatureExtractor.size |
1 | 0 | 0 |
k_diffusion.external (98 missing, 0 any)
| Symbol | Typable | Typed | Any | |
|---|---|---|---|---|
meth |
CompVisDenoiser.init |
4 | 0 | 0 |
meth |
CompVisDenoiser.get_eps |
3 | 0 | 0 |
meth |
DiscreteSchedule.init |
3 | 0 | 0 |
meth |
DiscreteSchedule.get_sigmas |
2 | 0 | 0 |
meth |
DiscreteSchedule.sigma_to_t |
3 | 0 | 0 |
meth |
DiscreteSchedule.t_to_sigma |
2 | 0 | 0 |
prop |
DiscreteSchedule.sigma_min |
1 | 0 | 0 |
prop |
DiscreteSchedule.sigma_max |
1 | 0 | 0 |
attr |
DiscreteSchedule.quantize |
1 | 0 | 0 |
meth |
VDenoiser.init |
2 | 0 | 0 |
meth |
VDenoiser.get_scalings |
2 | 0 | 0 |
meth |
VDenoiser.sigma_to_t |
2 | 0 | 0 |
meth |
VDenoiser.t_to_sigma |
2 | 0 | 0 |
meth |
VDenoiser.loss |
5 | 0 | 0 |
meth |
VDenoiser.forward |
4 | 0 | 0 |
attr |
VDenoiser.inner_model |
1 | 0 | 0 |
attr |
VDenoiser.sigma_data |
1 | 0 | 0 |
meth |
CompVisVDenoiser.init |
4 | 0 | 0 |
meth |
CompVisVDenoiser.get_v |
5 | 0 | 0 |
meth |
DiscreteVDDPMDenoiser.init |
4 | 0 | 0 |
meth |
DiscreteVDDPMDenoiser.get_scalings |
2 | 0 | 0 |
meth |
DiscreteVDDPMDenoiser.get_v |
3 | 0 | 0 |
meth |
DiscreteVDDPMDenoiser.loss |
5 | 0 | 0 |
meth |
DiscreteVDDPMDenoiser.forward |
4 | 0 | 0 |
attr |
DiscreteVDDPMDenoiser.inner_model |
1 | 0 | 0 |
attr |
DiscreteVDDPMDenoiser.sigma_data |
1 | 0 | 0 |
meth |
DiscreteEpsDDPMDenoiser.init |
4 | 0 | 0 |
meth |
DiscreteEpsDDPMDenoiser.get_scalings |
2 | 0 | 0 |
meth |
DiscreteEpsDDPMDenoiser.get_eps |
3 | 0 | 0 |
meth |
DiscreteEpsDDPMDenoiser.loss |
5 | 0 | 0 |
meth |
DiscreteEpsDDPMDenoiser.forward |
4 | 0 | 0 |
attr |
DiscreteEpsDDPMDenoiser.inner_model |
1 | 0 | 0 |
attr |
DiscreteEpsDDPMDenoiser.sigma_data |
1 | 0 | 0 |
meth |
OpenAIDenoiser.init |
6 | 0 | 0 |
meth |
OpenAIDenoiser.get_eps |
3 | 0 | 0 |
attr |
OpenAIDenoiser.has_learned_sigmas |
1 | 0 | 0 |
k_diffusion.gns (26 missing, 0 any)
| Symbol | Typable | Typed | Any | |
|---|---|---|---|---|
meth |
DDPGradientStatsHook.init |
2 | 0 | 0 |
meth |
DDPGradientStatsHook._clear_state |
1 | 0 | 0 |
meth |
DDPGradientStatsHook._hook_fn |
3 | 0 | 0 |
meth |
DDPGradientStatsHook.get_stats |
1 | 0 | 0 |
meth |
GradientNoiseScale.init |
3 | 0 | 0 |
meth |
GradientNoiseScale.state_dict |
1 | 0 | 0 |
meth |
GradientNoiseScale.load_state_dict |
2 | 0 | 0 |
meth |
GradientNoiseScale.update |
5 | 0 | 0 |
meth |
GradientNoiseScale.get_gns |
1 | 0 | 0 |
meth |
GradientNoiseScale.get_stats |
1 | 0 | 0 |
attr |
GradientNoiseScale.beta |
1 | 0 | 0 |
attr |
GradientNoiseScale.eps |
1 | 0 | 0 |
attr |
GradientNoiseScale.ema_sq_norm |
1 | 0 | 0 |
attr |
GradientNoiseScale.ema_var |
1 | 0 | 0 |
attr |
GradientNoiseScale.beta_cumprod |
1 | 0 | 0 |
attr |
GradientNoiseScale.gradient_noise_scale |
1 | 0 | 0 |
k_diffusion.layers (146 missing, 0 any)
| Symbol | Typable | Typed | Any | |
|---|---|---|---|---|
meth |
UNet.init |
4 | 0 | 0 |
meth |
UNet.forward |
3 | 0 | 0 |
attr |
UNet.d_blocks |
1 | 0 | 0 |
attr |
UNet.u_blocks |
1 | 0 | 0 |
attr |
UNet.skip_stages |
1 | 0 | 0 |
meth |
DenoiserWithVariance.loss |
5 | 0 | 0 |
meth |
Downsample2d.init |
3 | 0 | 0 |
meth |
Downsample2d.forward |
2 | 0 | 0 |
attr |
Downsample2d.pad_mode |
1 | 0 | 0 |
attr |
Downsample2d.pad |
1 | 0 | 0 |
meth |
ConditionedResidualBlock.init |
3 | 0 | 0 |
meth |
ConditionedResidualBlock.forward |
3 | 0 | 0 |
attr |
ConditionedResidualBlock.main |
1 | 0 | 0 |
attr |
ConditionedResidualBlock.skip |
1 | 0 | 0 |
meth |
ConditionedSequential.forward |
3 | 0 | 0 |
meth |
SelfAttention2d.init |
5 | 0 | 0 |
meth |
SelfAttention2d.forward |
3 | 0 | 0 |
attr |
SelfAttention2d.norm_in |
1 | 0 | 0 |
attr |
SelfAttention2d.n_head |
1 | 0 | 0 |
attr |
SelfAttention2d.qkv_proj |
1 | 0 | 0 |
attr |
SelfAttention2d.out_proj |
1 | 0 | 0 |
attr |
SelfAttention2d.dropout |
1 | 0 | 0 |
func |
dct |
2 | 0 | 0 |
meth |
Denoiser.init |
5 | 0 | 0 |
meth |
Denoiser._weighting_soft_min_snr |
2 | 0 | 0 |
meth |
Denoiser._weighting_snr |
2 | 0 | 0 |
meth |
Denoiser.get_scalings |
2 | 0 | 0 |
meth |
Denoiser.loss |
5 | 0 | 0 |
meth |
Denoiser.forward |
4 | 0 | 0 |
attr |
Denoiser.inner_model |
1 | 0 | 0 |
attr |
Denoiser.sigma_data |
1 | 0 | 0 |
attr |
Denoiser.scales |
1 | 0 | 0 |
attr |
Denoiser.weighting |
1 | 0 | 0 |
func |
freq_weight_1d |
5 | 0 | 0 |
meth |
Upsample2d.init |
3 | 0 | 0 |
meth |
Upsample2d.forward |
2 | 0 | 0 |
attr |
Upsample2d.pad_mode |
1 | 0 | 0 |
attr |
Upsample2d.pad |
1 | 0 | 0 |
meth |
UnconditionedModule.init |
2 | 0 | 0 |
meth |
UnconditionedModule.forward |
3 | 0 | 0 |
attr |
UnconditionedModule.module |
1 | 0 | 0 |
meth |
SimpleLossDenoiser.loss |
5 | 0 | 0 |
meth |
CrossAttention2d.init |
8 | 0 | 0 |
meth |
CrossAttention2d.forward |
3 | 0 | 0 |
attr |
CrossAttention2d.cond_key |
1 | 0 | 0 |
attr |
CrossAttention2d.cond_key_padding |
1 | 0 | 0 |
attr |
CrossAttention2d.norm_enc |
1 | 0 | 0 |
attr |
CrossAttention2d.norm_dec |
1 | 0 | 0 |
attr |
CrossAttention2d.n_head |
1 | 0 | 0 |
attr |
CrossAttention2d.q_proj |
1 | 0 | 0 |
attr |
CrossAttention2d.kv_proj |
1 | 0 | 0 |
attr |
CrossAttention2d.out_proj |
1 | 0 | 0 |
attr |
CrossAttention2d.dropout |
1 | 0 | 0 |
meth |
AdaGN.init |
6 | 0 | 0 |
meth |
AdaGN.forward |
3 | 0 | 0 |
attr |
AdaGN.num_groups |
1 | 0 | 0 |
attr |
AdaGN.eps |
1 | 0 | 0 |
attr |
AdaGN.cond_key |
1 | 0 | 0 |
attr |
AdaGN.mapper |
1 | 0 | 0 |
func |
freq_weight_nd |
5 | 0 | 0 |
meth |
FourierFeatures.init |
4 | 0 | 0 |
meth |
FourierFeatures.forward |
2 | 0 | 0 |
meth |
ResidualBlock.init |
3 | 0 | 0 |
meth |
ResidualBlock.forward |
2 | 0 | 0 |
attr |
ResidualBlock.main |
1 | 0 | 0 |
attr |
ResidualBlock.skip |
1 | 0 | 0 |
k_diffusion.models.axial_rope (46 missing, 0 any)
| Symbol | Typable | Typed | Any | |
|---|---|---|---|---|
meth |
AxialRoPE.init |
5 | 0 | 0 |
meth |
AxialRoPE.extra_repr |
1 | 0 | 0 |
meth |
AxialRoPE.get_freqs |
2 | 0 | 0 |
meth |
AxialRoPE.forward |
3 | 0 | 0 |
attr |
AxialRoPE.n_heads |
1 | 0 | 0 |
attr |
AxialRoPE.start_index |
1 | 0 | 0 |
attr |
AxialRoPE.freqs_h |
1 | 0 | 0 |
attr |
AxialRoPE.freqs_w |
1 | 0 | 0 |
func |
apply_rotary_emb |
5 | 0 | 0 |
func |
freqs_pixel_log |
2 | 0 | 0 |
func |
bounding_box |
4 | 0 | 0 |
func |
rotate_half |
2 | 0 | 0 |
func |
freqs_pixel |
2 | 0 | 0 |
func |
make_axial_pos |
7 | 0 | 0 |
func |
make_grid |
3 | 0 | 0 |
func |
centers |
6 | 0 | 0 |
k_diffusion.models.flags (17 missing, 0 any)
| Symbol | Typable | Typed | Any | |
|---|---|---|---|---|
meth |
compile_wrap.init |
4 | 0 | 0 |
meth |
compile_wrap.call |
3 | 0 | 0 |
prop |
compile_wrap.compiled_function |
1 | 0 | 0 |
attr |
compile_wrap.function |
1 | 0 | 0 |
attr |
compile_wrap.args |
1 | 0 | 0 |
attr |
compile_wrap.kwargs |
1 | 0 | 0 |
func |
checkpointing |
2 | 0 | 0 |
func |
get_checkpointing |
1 | 0 | 0 |
func |
get_use_flash_attention_2 |
1 | 0 | 0 |
func |
get_use_compile |
1 | 0 | 0 |
attr |
state |
1 | 0 | 0 |
k_diffusion.models.image_transformer_v1 (177 missing, 0 any)
| Symbol | Typable | Typed | Any | |
|---|---|---|---|---|
meth |
MappingFeedForwardBlock.init |
4 | 0 | 0 |
meth |
MappingFeedForwardBlock.forward |
2 | 0 | 0 |
attr |
MappingFeedForwardBlock.norm |
1 | 0 | 0 |
attr |
MappingFeedForwardBlock.up_proj |
1 | 0 | 0 |
attr |
MappingFeedForwardBlock.act |
1 | 0 | 0 |
attr |
MappingFeedForwardBlock.dropout |
1 | 0 | 0 |
attr |
MappingFeedForwardBlock.down_proj |
1 | 0 | 0 |
meth |
RMSNorm.init |
3 | 0 | 0 |
meth |
RMSNorm.extra_repr |
1 | 0 | 0 |
meth |
RMSNorm.forward |
2 | 0 | 0 |
attr |
RMSNorm.eps |
1 | 0 | 0 |
attr |
RMSNorm.scale |
1 | 0 | 0 |
func |
tag_module |
3 | 0 | 0 |
func |
checkpoint_helper |
4 | 0 | 0 |
meth |
TransformerBlock.init |
5 | 0 | 0 |
meth |
TransformerBlock.forward |
5 | 0 | 0 |
attr |
TransformerBlock.self_attn |
1 | 0 | 0 |
attr |
TransformerBlock.ff |
1 | 0 | 0 |
meth |
SelfAttentionBlock.init |
4 | 0 | 0 |
meth |
SelfAttentionBlock.extra_repr |
1 | 0 | 0 |
meth |
SelfAttentionBlock.forward |
5 | 0 | 0 |
attr |
SelfAttentionBlock.d_head |
1 | 0 | 0 |
attr |
SelfAttentionBlock.n_heads |
1 | 0 | 0 |
attr |
SelfAttentionBlock.norm |
1 | 0 | 0 |
attr |
SelfAttentionBlock.qkv_proj |
1 | 0 | 0 |
attr |
SelfAttentionBlock.qk_norm |
1 | 0 | 0 |
attr |
SelfAttentionBlock.pos_emb |
1 | 0 | 0 |
attr |
SelfAttentionBlock.dropout |
1 | 0 | 0 |
attr |
SelfAttentionBlock.out_proj |
1 | 0 | 0 |
meth |
Patching.init |
3 | 0 | 0 |
meth |
Patching.extra_repr |
1 | 0 | 0 |
meth |
Patching.forward |
3 | 0 | 0 |
attr |
Patching.features |
1 | 0 | 0 |
attr |
Patching.patch_size |
1 | 0 | 0 |
attr |
Patching.d_out |
1 | 0 | 0 |
meth |
ImageTransformerDenoiserModelV1.init |
10 | 0 | 0 |
meth |
ImageTransformerDenoiserModelV1.proj_ |
1 | 0 | 0 |
meth |
ImageTransformerDenoiserModelV1.param_groups |
3 | 0 | 0 |
meth |
ImageTransformerDenoiserModelV1.forward |
5 | 0 | 0 |
attr |
ImageTransformerDenoiserModelV1.sigma_data |
1 | 0 | 0 |
attr |
ImageTransformerDenoiserModelV1.num_classes |
1 | 0 | 0 |
attr |
ImageTransformerDenoiserModelV1.patch_in |
1 | 0 | 0 |
attr |
ImageTransformerDenoiserModelV1.patch_out |
1 | 0 | 0 |
attr |
ImageTransformerDenoiserModelV1.time_emb |
1 | 0 | 0 |
attr |
ImageTransformerDenoiserModelV1.time_in_proj |
1 | 0 | 0 |
attr |
ImageTransformerDenoiserModelV1.aug_emb |
1 | 0 | 0 |
attr |
ImageTransformerDenoiserModelV1.aug_in_proj |
1 | 0 | 0 |
attr |
ImageTransformerDenoiserModelV1.class_emb |
1 | 0 | 0 |
attr |
ImageTransformerDenoiserModelV1.mapping |
1 | 0 | 0 |
attr |
ImageTransformerDenoiserModelV1.in_proj |
1 | 0 | 0 |
attr |
ImageTransformerDenoiserModelV1.blocks |
1 | 0 | 0 |
attr |
ImageTransformerDenoiserModelV1.out_norm |
1 | 0 | 0 |
attr |
ImageTransformerDenoiserModelV1.out_proj |
1 | 0 | 0 |
meth |
GEGLU.forward |
2 | 0 | 0 |
meth |
FeedForwardBlock.init |
4 | 0 | 0 |
meth |
FeedForwardBlock.forward |
3 | 0 | 0 |
attr |
FeedForwardBlock.norm |
1 | 0 | 0 |
attr |
FeedForwardBlock.up_proj |
1 | 0 | 0 |
attr |
FeedForwardBlock.act |
1 | 0 | 0 |
attr |
FeedForwardBlock.dropout |
1 | 0 | 0 |
attr |
FeedForwardBlock.down_proj |
1 | 0 | 0 |
func |
zero_init |
2 | 0 | 0 |
meth |
QKNorm.init |
4 | 0 | 0 |
meth |
QKNorm.extra_repr |
1 | 0 | 0 |
meth |
QKNorm.proj_ |
1 | 0 | 0 |
meth |
QKNorm.forward |
2 | 0 | 0 |
attr |
QKNorm.eps |
1 | 0 | 0 |
attr |
QKNorm.max_scale |
1 | 0 | 0 |
attr |
QKNorm.scale |
1 | 0 | 0 |
func |
filter_params |
3 | 0 | 0 |
func |
tag_param |
3 | 0 | 0 |
meth |
MappingNetwork.init |
5 | 0 | 0 |
meth |
MappingNetwork.forward |
2 | 0 | 0 |
attr |
MappingNetwork.in_norm |
1 | 0 | 0 |
attr |
MappingNetwork.blocks |
1 | 0 | 0 |
attr |
MappingNetwork.out_norm |
1 | 0 | 0 |
func |
apply_wd |
2 | 0 | 0 |
func |
geglu |
2 | 0 | 0 |
func |
scaled_dot_product_attention |
6 | 0 | 0 |
func |
rms_norm |
4 | 0 | 0 |
meth |
Unpatching.init |
3 | 0 | 0 |
meth |
Unpatching.extra_repr |
1 | 0 | 0 |
meth |
Unpatching.forward |
4 | 0 | 0 |
attr |
Unpatching.features |
1 | 0 | 0 |
attr |
Unpatching.patch_size |
1 | 0 | 0 |
attr |
Unpatching.d_in |
1 | 0 | 0 |
meth |
AdaRMSNorm.init |
4 | 0 | 0 |
meth |
AdaRMSNorm.extra_repr |
1 | 0 | 0 |
meth |
AdaRMSNorm.forward |
3 | 0 | 0 |
attr |
AdaRMSNorm.eps |
1 | 0 | 0 |
attr |
AdaRMSNorm.linear |
1 | 0 | 0 |
k_diffusion.models.image_v1 (86 missing, 0 any)
| Symbol | Typable | Typed | Any | |
|---|---|---|---|---|
meth |
UBlock.init |
13 | 0 | 0 |
meth |
UBlock.forward |
4 | 0 | 0 |
meth |
UBlock.set_upsample |
2 | 0 | 0 |
meth |
ImageDenoiserModelV1.init |
14 | 0 | 0 |
meth |
ImageDenoiserModelV1.param_groups |
2 | 0 | 0 |
meth |
ImageDenoiserModelV1.forward |
8 | 0 | 0 |
meth |
ImageDenoiserModelV1.set_skip_stages |
2 | 0 | 0 |
meth |
ImageDenoiserModelV1.set_patch_size |
2 | 0 | 0 |
attr |
ImageDenoiserModelV1.c_in |
1 | 0 | 0 |
attr |
ImageDenoiserModelV1.channels |
1 | 0 | 0 |
attr |
ImageDenoiserModelV1.unet_cond_dim |
1 | 0 | 0 |
attr |
ImageDenoiserModelV1.patch_size |
1 | 0 | 0 |
attr |
ImageDenoiserModelV1.has_variance |
1 | 0 | 0 |
attr |
ImageDenoiserModelV1.timestep_embed |
1 | 0 | 0 |
attr |
ImageDenoiserModelV1.mapping |
1 | 0 | 0 |
attr |
ImageDenoiserModelV1.proj_in |
1 | 0 | 0 |
attr |
ImageDenoiserModelV1.proj_out |
1 | 0 | 0 |
attr |
ImageDenoiserModelV1.u_net |
1 | 0 | 0 |
attr |
ImageDenoiserModelV1.mapping_cond |
1 | 0 | 0 |
func |
orthogonal_ |
2 | 0 | 0 |
meth |
DBlock.init |
13 | 0 | 0 |
meth |
DBlock.set_downsample |
2 | 0 | 0 |
meth |
MappingNet.init |
4 | 0 | 0 |
meth |
ResConvBlock.init |
7 | 0 | 0 |
k_diffusion.sampling (295 missing, 0 any)
| Symbol | Typable | Typed | Any | |
|---|---|---|---|---|
func |
get_ancestral_step |
4 | 0 | 0 |
meth |
PIDStepSizeController.init |
8 | 0 | 0 |
meth |
PIDStepSizeController.limiter |
2 | 0 | 0 |
meth |
PIDStepSizeController.propose_step |
2 | 0 | 0 |
attr |
PIDStepSizeController.h |
1 | 0 | 0 |
attr |
PIDStepSizeController.b1 |
1 | 0 | 0 |
attr |
PIDStepSizeController.b2 |
1 | 0 | 0 |
attr |
PIDStepSizeController.b3 |
1 | 0 | 0 |
attr |
PIDStepSizeController.accept_safety |
1 | 0 | 0 |
attr |
PIDStepSizeController.eps |
1 | 0 | 0 |
attr |
PIDStepSizeController.errs |
1 | 0 | 0 |
func |
sample_dpm_2 |
11 | 0 | 0 |
meth |
BrownianTreeNoiseSampler.init |
6 | 0 | 0 |
meth |
BrownianTreeNoiseSampler.call |
3 | 0 | 0 |
attr |
BrownianTreeNoiseSampler.transform |
1 | 0 | 0 |
attr |
BrownianTreeNoiseSampler.tree |
1 | 0 | 0 |
func |
sample_dpm_2_ancestral |
10 | 0 | 0 |
func |
sample_dpm_adaptive |
20 | 0 | 0 |
func |
get_sigmas_polyexponential |
6 | 0 | 0 |
func |
log_likelihood |
8 | 0 | 0 |
meth |
BatchedBrownianTree.init |
6 | 0 | 0 |
meth |
BatchedBrownianTree.sort |
3 | 0 | 0 |
meth |
BatchedBrownianTree.call |
3 | 0 | 0 |
attr |
BatchedBrownianTree.batched |
1 | 0 | 0 |
attr |
BatchedBrownianTree.trees |
1 | 0 | 0 |
func |
get_sigmas_exponential |
5 | 0 | 0 |
func |
sample_dpmpp_2m_sde |
11 | 0 | 0 |
func |
append_zero |
2 | 0 | 0 |
func |
sample_dpmpp_sde |
11 | 0 | 0 |
func |
get_sigmas_vp |
6 | 0 | 0 |
func |
default_noise_sampler |
2 | 0 | 0 |
func |
sample_euler_ancestral |
10 | 0 | 0 |
func |
to_d |
4 | 0 | 0 |
func |
sample_lms |
8 | 0 | 0 |
func |
get_sigmas_karras |
6 | 0 | 0 |
func |
sample_euler |
11 | 0 | 0 |
func |
sample_dpmpp_3m_sde |
10 | 0 | 0 |
func |
sample_heun |
11 | 0 | 0 |
func |
linear_multistep_coeff |
5 | 0 | 0 |
func |
sample_dpmpp_2s_ancestral |
10 | 0 | 0 |
func |
sample_dpm_fast |
12 | 0 | 0 |
func |
sample_dpmpp_2m |
7 | 0 | 0 |
meth |
DPMSolver.init |
5 | 0 | 0 |
meth |
DPMSolver.t |
2 | 0 | 0 |
meth |
DPMSolver.sigma |
2 | 0 | 0 |
meth |
DPMSolver.eps |
7 | 0 | 0 |
meth |
DPMSolver.dpm_solver_1_step |
5 | 0 | 0 |
meth |
DPMSolver.dpm_solver_2_step |
6 | 0 | 0 |
meth |
DPMSolver.dpm_solver_3_step |
7 | 0 | 0 |
meth |
DPMSolver.dpm_solver_fast |
8 | 0 | 0 |
meth |
DPMSolver.dpm_solver_adaptive |
15 | 0 | 0 |
attr |
DPMSolver.model |
1 | 0 | 0 |
attr |
DPMSolver.extra_args |
1 | 0 | 0 |
attr |
DPMSolver.eps_callback |
1 | 0 | 0 |
attr |
DPMSolver.info_callback |
1 | 0 | 0 |
k_diffusion.utils (170 missing, 0 any)
| Symbol | Typable | Typed | Any | |
|---|---|---|---|---|
func |
train_mode |
3 | 0 | 0 |
meth |
FolderOfImages.init |
3 | 0 | 0 |
meth |
FolderOfImages.repr |
1 | 0 | 0 |
meth |
FolderOfImages.len |
1 | 0 | 0 |
meth |
FolderOfImages.getitem |
2 | 0 | 0 |
attr |
FolderOfImages.root |
1 | 0 | 0 |
attr |
FolderOfImages.transform |
1 | 0 | 0 |
attr |
FolderOfImages.paths |
1 | 0 | 0 |
func |
enable_stratified_accelerate |
3 | 0 | 0 |
func |
rand_cosine_interpolated |
10 | 0 | 0 |
func |
get_safetensors_metadata |
2 | 0 | 0 |
meth |
CSVLogger.init |
3 | 0 | 0 |
meth |
CSVLogger.write |
2 | 0 | 0 |
attr |
CSVLogger.filename |
1 | 0 | 0 |
attr |
CSVLogger.columns |
1 | 0 | 0 |
attr |
CSVLogger.file |
1 | 0 | 0 |
func |
tf32_mode |
3 | 0 | 0 |
func |
n_params |
2 | 0 | 0 |
func |
hf_datasets_augs_helper |
5 | 0 | 0 |
meth |
ExponentialLR.init |
8 | 0 | 0 |
meth |
ExponentialLR.get_lr |
1 | 0 | 0 |
meth |
ExponentialLR._get_closed_form_lr |
1 | 0 | 0 |
attr |
ExponentialLR.num_steps |
1 | 0 | 0 |
attr |
ExponentialLR.decay |
1 | 0 | 0 |
attr |
ExponentialLR.warmup |
1 | 0 | 0 |
attr |
ExponentialLR.min_lr |
1 | 0 | 0 |
func |
rand_log_uniform |
6 | 0 | 0 |
meth |
EMAWarmup.init |
7 | 0 | 0 |
meth |
EMAWarmup.state_dict |
1 | 0 | 0 |
meth |
EMAWarmup.load_state_dict |
2 | 0 | 0 |
meth |
EMAWarmup.get_value |
1 | 0 | 0 |
meth |
EMAWarmup.step |
1 | 0 | 0 |
attr |
EMAWarmup.inv_gamma |
1 | 0 | 0 |
attr |
EMAWarmup.power |
1 | 0 | 0 |
attr |
EMAWarmup.min_value |
1 | 0 | 0 |
attr |
EMAWarmup.max_value |
1 | 0 | 0 |
attr |
EMAWarmup.start_at |
1 | 0 | 0 |
attr |
EMAWarmup.last_epoch |
1 | 0 | 0 |
meth |
InverseLR.init |
8 | 0 | 0 |
meth |
InverseLR.get_lr |
1 | 0 | 0 |
meth |
InverseLR._get_closed_form_lr |
1 | 0 | 0 |
attr |
InverseLR.inv_gamma |
1 | 0 | 0 |
attr |
InverseLR.power |
1 | 0 | 0 |
attr |
InverseLR.warmup |
1 | 0 | 0 |
attr |
InverseLR.min_lr |
1 | 0 | 0 |
func |
rand_v_diffusion |
7 | 0 | 0 |
meth |
ConstantLRWithWarmup.init |
5 | 0 | 0 |
meth |
ConstantLRWithWarmup.get_lr |
1 | 0 | 0 |
meth |
ConstantLRWithWarmup._get_closed_form_lr |
1 | 0 | 0 |
attr |
ConstantLRWithWarmup.warmup |
1 | 0 | 0 |
func |
download_file |
4 | 0 | 0 |
func |
from_pil_image |
2 | 0 | 0 |
func |
rand_log_logistic |
8 | 0 | 0 |
func |
append_dims |
3 | 0 | 0 |
func |
rand_split_log_normal |
7 | 0 | 0 |
func |
ema_update |
4 | 0 | 0 |
func |
to_pil_image |
2 | 0 | 0 |
func |
eval_mode |
2 | 0 | 0 |
func |
stratified_uniform |
6 | 0 | 0 |
func |
stratified_with_settings |
4 | 0 | 0 |
attr |
stratified_settings |
1 | 0 | 0 |
func |
rand_log_normal |
6 | 0 | 0 |
func |
enable_stratified |
4 | 0 | 0 |
func |
ema_update_dict |
4 | 0 | 0 |
Type-Ignore Comments
No type-ignore comments.