alibaba / Tora
File Size

The distribution of size of files (measured in lines of code).

Intro
Learn more...
File Size Overall
6% | 22% | 42% | 13% | 13%
Legend:
1001+
501-1000
201-500
101-200
1-100


explore: grouped by folders | grouped by size | sunburst | 3D view
File Size per Extension
1001+
501-1000
201-500
101-200
1-100
py6% | 23% | 44% | 12% | 13%
yaml0% | 0% | 0% | 67% | 32%
cu0% | 0% | 0% | 100% | 0%
cuh0% | 0% | 0% | 100% | 0%
h0% | 0% | 0% | 0% | 100%
toml0% | 0% | 0% | 0% | 100%
cpp0% | 0% | 0% | 0% | 100%
in0% | 0% | 0% | 0% | 100%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
sat12% | 23% | 48% | 7% | 6%
modules0% | 17% | 36% | 22% | 23%
diffusers-version0% | 51% | 40% | 8% | 0%
ROOT0% | 0% | 0% | 0% | 100%
Longest Files (Top 50)
File# lines# units
magvit2_pytorch.py
in sat/sgm/modules/autoencoding
1148 87
app.py
in sat
1031 26
openaimodel.py
in sat/sgm/modules/diffusionmodules
979 39
cp_enc_dec.py
in sat/vae_modules
712 45
691 33
vqvae_diffusion.py
in modules/SwissArmyTransformer/sat/tokenization/cogview/vqvae
629 24
transformer.py
in modules/SwissArmyTransformer/sat/model
610 14
sampling.py
in sat/sgm/modules/diffusionmodules
608 47
i2v_pipeline.py
in diffusers-version/tora
568 19
builder.py
in modules/SwissArmyTransformer/sat/ops/ops_builder
546 40
model.py
in sat/sgm/modules/diffusionmodules
544 29
deepspeed_training.py
in modules/SwissArmyTransformer/sat/training
534 13
autoencoder.py
in sat/vae_modules
534 43
t2v_pipeline.py
in diffusers-version/tora
506 18
video_loss.py
in sat/sgm/modules/autoencoding/losses
487 26
autoencoder.py
in sat/sgm/models
461 37
attention.py
in sat/sgm/modules
440 27
attention.py
in sat/vae_modules
440 27
arguments.py
in modules/SwissArmyTransformer/sat
438 14
model_io.py
in modules/SwissArmyTransformer/sat/training
436 16
tokenization.py
in modules/SwissArmyTransformer/sat/tokenization/glm
426 43
movq_dec_3d_dev.py
in sat/sgm/modules/autoencoding/vqvae
384 18
movq_dec_3d.py
in sat/sgm/modules/autoencoding/vqvae
379 18
372 15
base_model.py
in modules/SwissArmyTransformer/sat/model
367 20
348 14
347 8
transformer_3d.py
in diffusers-version/tora
344 10
configure_data.py
in modules/SwissArmyTransformer/sat/data_utils
343 21
quantize.py
in sat/sgm/modules/autoencoding/regularizers
338 20
layers.py
in modules/SwissArmyTransformer/sat/mpu
331 16
324 13
vqvae_blocks.py
in sat/sgm/modules/autoencoding/vqvae
300 16
movq_enc_3d.py
in sat/sgm/modules/autoencoding/vqvae
289 18
webds.py
in modules/SwissArmyTransformer/sat/data_utils
287 12
webds.py
in sat/sgm
286 12
movq_modules.py
in sat/sgm/modules/autoencoding/vqvae
285 16
misc.py
in sat/utils
281 37
temporal_ae.py
in sat/sgm/modules/autoencoding
277 18
utils.py
in sat/vae_modules
267 34
util.py
in sat/sgm
255 34
traj_module.py
in diffusers-version/tora
253 20
transformer_defaults.py
in modules/SwissArmyTransformer/sat
251 10
glm130B_model.py
in modules/SwissArmyTransformer/sat/model/official
251 18
251 6
video_attention.py
in sat/sgm/modules
249 7
inference.py
in diffusers-version
245 3
tokenization_wordpiece.py
in modules/SwissArmyTransformer/sat/tokenization/glm
242 22
lora.py
in sat/sgm/modules/diffusionmodules
242 18
modules.py
in sat/sgm/modules/encoders
242 20
Files With Most Units (Top 50)
File# lines# units
magvit2_pytorch.py
in sat/sgm/modules/autoencoding
1148 87
sampling.py
in sat/sgm/modules/diffusionmodules
608 47
cp_enc_dec.py
in sat/vae_modules
712 45
tokenization.py
in modules/SwissArmyTransformer/sat/tokenization/glm
426 43
autoencoder.py
in sat/vae_modules
534 43
builder.py
in modules/SwissArmyTransformer/sat/ops/ops_builder
546 40
openaimodel.py
in sat/sgm/modules/diffusionmodules
979 39
misc.py
in sat/utils
281 37
autoencoder.py
in sat/sgm/models
461 37
util.py
in sat/sgm
255 34
utils.py
in sat/vae_modules
267 34
691 33
model.py
in sat/sgm/modules/diffusionmodules
544 29
ice_tokenizer.py
in modules/SwissArmyTransformer/sat/tokenization/icetk_glm_130B
196 28
attention.py
in sat/sgm/modules
440 27
attention.py
in sat/vae_modules
440 27
video_loss.py
in sat/sgm/modules/autoencoding/losses
487 26
app.py
in sat
1031 26
vqvae_diffusion.py
in modules/SwissArmyTransformer/sat/tokenization/cogview/vqvae
629 24
tokenization_wordpiece.py
in modules/SwissArmyTransformer/sat/tokenization/glm
242 22
configure_data.py
in modules/SwissArmyTransformer/sat/data_utils
343 21
util.py
in sat/sgm/modules/diffusionmodules
212 21
base_model.py
in modules/SwissArmyTransformer/sat/model
367 20
quantize.py
in sat/sgm/modules/autoencoding/regularizers
338 20
modules.py
in sat/sgm/modules/encoders
242 20
traj_module.py
in diffusers-version/tora
253 20
t5_model.py
in modules/SwissArmyTransformer/sat/model/official
222 19
i2v_pipeline.py
in diffusers-version/tora
568 19
glm130B_model.py
in modules/SwissArmyTransformer/sat/model/official
251 18
clip_model.py
in modules/SwissArmyTransformer/sat/model/official
114 18
mae_model.py
in modules/SwissArmyTransformer/sat/model/official
117 18
lora.py
in sat/sgm/modules/diffusionmodules
242 18
temporal_ae.py
in sat/sgm/modules/autoencoding
277 18
movq_enc_3d.py
in sat/sgm/modules/autoencoding/vqvae
289 18
movq_dec_3d.py
in sat/sgm/modules/autoencoding/vqvae
379 18
movq_dec_3d_dev.py
in sat/sgm/modules/autoencoding/vqvae
384 18
t2v_pipeline.py
in diffusers-version/tora
506 18
traj_module.py
in sat/sgm/modules
232 17
chatglm_model.py
in modules/SwissArmyTransformer/sat/model/official
210 16
model_io.py
in modules/SwissArmyTransformer/sat/training
436 16
sp_tokenizer.py
in modules/SwissArmyTransformer/sat/tokenization/cogview
109 16
tokenization_gpt2.py
in modules/SwissArmyTransformer/sat/tokenization/glm
218 16
layers.py
in modules/SwissArmyTransformer/sat/mpu
331 16
vqvae_blocks.py
in sat/sgm/modules/autoencoding/vqvae
300 16
movq_modules.py
in sat/sgm/modules/autoencoding/vqvae
285 16
cait_model.py
in modules/SwissArmyTransformer/sat/model/official
139 15
vqvae_zc.py
in modules/SwissArmyTransformer/sat/tokenization/cogview/vqvae
235 15
mappings.py
in modules/SwissArmyTransformer/sat/mpu
66 15
372 15
sampling_utils.py
in sat/sgm/modules/diffusionmodules
117 15
Files With Long Lines (Top 50)

There are 65 files with lines longer than 120 characters. In total, there are 280 long lines.

File# lines# units# long lines
lora2.py
in modules/SwissArmyTransformer/sat/model/finetune
221 13 25
base_model.py
in modules/SwissArmyTransformer/sat/model
367 20 22
transformer.py
in modules/SwissArmyTransformer/sat/model
610 14 21
deepspeed_training.py
in modules/SwissArmyTransformer/sat/training
534 13 13
cait_model.py
in modules/SwissArmyTransformer/sat/model/official
139 15 8
chatglm3_model.py
in modules/SwissArmyTransformer/sat/model/official
119 10 8
configure_data.py
in modules/SwissArmyTransformer/sat/data_utils
343 21 8
transformer_defaults.py
in modules/SwissArmyTransformer/sat
251 10 7
chatglm2_model.py
in modules/SwissArmyTransformer/sat/model/official
119 10 7
chatglm4_model.py
in modules/SwissArmyTransformer/sat/model/official
119 10 7
model_io.py
in modules/SwissArmyTransformer/sat/training
436 16 7
arguments.py
in modules/SwissArmyTransformer/sat
438 14 7
fused_ema_adam.py
in modules/SwissArmyTransformer/sat/ops
125 6 7
vit_model.py
in modules/SwissArmyTransformer/sat/model/official
76 9 6
mae_model.py
in modules/SwissArmyTransformer/sat/model/official
117 18 6
memory_efficient_attention.py
in modules/SwissArmyTransformer/sat/model/attention
59 5 6
download.py
in modules/SwissArmyTransformer/sat/resources
147 6 5
operation.py
in modules/SwissArmyTransformer/sat/mpu
104 7 5
app.py
in sat
1031 26 5
magnify.py
in modules/SwissArmyTransformer/sat/generation
30 1 4
encoder_decoder_model.py
in modules/SwissArmyTransformer/sat/model
89 9 4
lora.py
in modules/SwissArmyTransformer/sat/model/finetune
76 2 4
clip_model.py
in modules/SwissArmyTransformer/sat/model/official
114 18 4
chatglm_model.py
in modules/SwissArmyTransformer/sat/model/official
210 16 4
helpers.py
in modules/SwissArmyTransformer/sat
128 10 4
layers.py
in modules/SwissArmyTransformer/sat/mpu
331 16 4
glm4v_model.py
in modules/SwissArmyTransformer/sat/model/official
137 9 3
mixtral_model.py
in modules/SwissArmyTransformer/sat/model/official
81 9 3
t5_model.py
in modules/SwissArmyTransformer/sat/model/official
222 19 3
gptneo_model.py
in modules/SwissArmyTransformer/sat/model/official
73 6 3
eva_clip_model.py
in modules/SwissArmyTransformer/sat/model/official
94 9 3
llama_model.py
in modules/SwissArmyTransformer/sat/model/official
86 9 3
urls.py
in modules/SwissArmyTransformer/sat/resources
43 - 3
magvit2_pytorch.py
in sat/sgm/modules/autoencoding
1148 87 3
attention.py
in sat/sgm/modules
440 27 3
attention.py
in sat/vae_modules
440 27 3
autoregressive_sampling.py
in modules/SwissArmyTransformer/sat/generation
222 5 2
base_strategy.py
in modules/SwissArmyTransformer/sat/generation/sampling_strategies
75 5 2
vision_rotary_embeddings.py
in modules/SwissArmyTransformer/sat/model/position_embedding
98 6 2
adapter.py
in modules/SwissArmyTransformer/sat/model/finetune
45 3 2
eva2_model.py
in modules/SwissArmyTransformer/sat/model/official
112 11 2
cuda2d_model.py
in modules/SwissArmyTransformer/sat/model/official
169 10 2
yolos_model.py
in modules/SwissArmyTransformer/sat/model/official
51 8 2
glm_model.py
in modules/SwissArmyTransformer/sat/model/official
53 4 2
hf_dataset.py
in modules/SwissArmyTransformer/sat/data_utils
30 2 2
webds.py
in modules/SwissArmyTransformer/sat/data_utils
287 12 2
samplers.py
in modules/SwissArmyTransformer/sat/data_utils
111 13 2
ice_tokenizer.py
in modules/SwissArmyTransformer/sat/tokenization/icetk_glm_130B
196 28 2
builder.py
in modules/SwissArmyTransformer/sat/ops/ops_builder
546 40 2
iterative_entfilter_strategy.py
in modules/SwissArmyTransformer/sat/generation/sampling_strategies
43 3 1