-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathrequirements.lock
308 lines (307 loc) · 6.07 KB
/
requirements.lock
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
# generated by rye
# use `rye lock` or `rye sync` to update this lockfile
#
# last locked with the following flags:
# pre: false
# features: []
# all-features: false
# with-sources: false
# generate-hashes: false
# universal: false
-e file:.
accelerate==1.0.1
# via transformer-lens
aiohappyeyeballs==2.4.3
# via aiohttp
aiohttp==3.10.10
# via datasets
# via fsspec
aiosignal==1.3.1
# via aiohttp
asttokens==2.4.1
# via stack-data
attrs==24.2.0
# via aiohttp
beartype==0.14.1
# via transformer-lens
better-abc==0.0.3
# via transformer-lens
certifi==2024.8.30
# via requests
# via sentry-sdk
charset-normalizer==3.4.0
# via requests
click==8.1.7
# via wandb
comm==0.2.2
# via ipykernel
contourpy==1.3.0
# via matplotlib
cycler==0.12.1
# via matplotlib
datasets==3.0.1
# via 1l-sparse-autoencoder
# via transformer-lens
debugpy==1.8.7
# via ipykernel
decorator==5.1.1
# via ipython
dill==0.3.8
# via datasets
# via multiprocess
docker-pycreds==0.4.0
# via wandb
einops==0.8.0
# via 1l-sparse-autoencoder
# via transformer-lens
executing==2.1.0
# via stack-data
fancy-einsum==0.0.3
# via 1l-sparse-autoencoder
# via transformer-lens
filelock==3.16.1
# via datasets
# via huggingface-hub
# via torch
# via transformers
# via triton
fonttools==4.54.1
# via matplotlib
frozenlist==1.4.1
# via aiohttp
# via aiosignal
fsspec==2024.6.1
# via datasets
# via huggingface-hub
# via torch
gitdb==4.0.11
# via gitpython
gitpython==3.1.43
# via wandb
huggingface-hub==0.26.0
# via accelerate
# via datasets
# via tokenizers
# via transformers
idna==3.10
# via requests
# via yarl
ipykernel==6.29.5
# via 1l-sparse-autoencoder
ipython==8.28.0
# via ipykernel
jaxtyping==0.2.34
# via transformer-lens
jedi==0.19.1
# via ipython
jinja2==3.1.4
# via torch
jupyter-client==8.6.3
# via ipykernel
jupyter-core==5.7.2
# via ipykernel
# via jupyter-client
kiwisolver==1.4.7
# via matplotlib
markdown-it-py==3.0.0
# via rich
markupsafe==3.0.2
# via jinja2
matplotlib==3.9.2
# via 1l-sparse-autoencoder
# via seaborn
matplotlib-inline==0.1.7
# via ipykernel
# via ipython
mdurl==0.1.2
# via markdown-it-py
mpmath==1.3.0
# via sympy
multidict==6.1.0
# via aiohttp
# via yarl
multiprocess==0.70.16
# via datasets
nest-asyncio==1.6.0
# via ipykernel
networkx==3.4.1
# via torch
numpy==2.1.2
# via accelerate
# via contourpy
# via datasets
# via matplotlib
# via pandas
# via pyarrow
# via scipy
# via seaborn
# via transformer-lens
# via transformers
nvidia-cublas-cu12==12.4.5.8
# via nvidia-cudnn-cu12
# via nvidia-cusolver-cu12
# via torch
nvidia-cuda-cupti-cu12==12.4.127
# via torch
nvidia-cuda-nvrtc-cu12==12.4.127
# via torch
nvidia-cuda-runtime-cu12==12.4.127
# via torch
nvidia-cudnn-cu12==9.1.0.70
# via torch
nvidia-cufft-cu12==11.2.1.3
# via torch
nvidia-curand-cu12==10.3.5.147
# via torch
nvidia-cusolver-cu12==11.6.1.9
# via torch
nvidia-cusparse-cu12==12.3.1.170
# via nvidia-cusolver-cu12
# via torch
nvidia-nccl-cu12==2.21.5
# via torch
nvidia-nvjitlink-cu12==12.4.127
# via nvidia-cusolver-cu12
# via nvidia-cusparse-cu12
# via torch
nvidia-nvtx-cu12==12.4.127
# via torch
packaging==24.1
# via accelerate
# via datasets
# via huggingface-hub
# via ipykernel
# via matplotlib
# via transformers
pandas==2.2.3
# via datasets
# via seaborn
# via transformer-lens
parso==0.8.4
# via jedi
pexpect==4.9.0
# via ipython
pillow==11.0.0
# via matplotlib
platformdirs==4.3.6
# via jupyter-core
# via wandb
prompt-toolkit==3.0.48
# via ipython
propcache==0.2.0
# via yarl
protobuf==5.28.2
# via wandb
psutil==6.1.0
# via accelerate
# via ipykernel
# via wandb
ptyprocess==0.7.0
# via pexpect
pure-eval==0.2.3
# via stack-data
pyarrow==17.0.0
# via datasets
pygments==2.18.0
# via ipython
# via rich
pyparsing==3.2.0
# via matplotlib
python-dateutil==2.9.0.post0
# via jupyter-client
# via matplotlib
# via pandas
pytz==2024.2
# via pandas
pyyaml==6.0.2
# via accelerate
# via datasets
# via huggingface-hub
# via transformers
# via wandb
pyzmq==26.2.0
# via ipykernel
# via jupyter-client
regex==2024.9.11
# via transformers
requests==2.32.3
# via datasets
# via huggingface-hub
# via transformers
# via wandb
rich==13.9.2
# via transformer-lens
safetensors==0.4.5
# via accelerate
# via transformers
scipy==1.14.1
# via 1l-sparse-autoencoder
seaborn==0.13.2
# via 1l-sparse-autoencoder
sentencepiece==0.2.0
# via transformer-lens
sentry-sdk==2.17.0
# via wandb
setproctitle==1.3.3
# via wandb
setuptools==75.2.0
# via torch
# via wandb
six==1.16.0
# via asttokens
# via docker-pycreds
# via python-dateutil
smmap==5.0.1
# via gitdb
stack-data==0.6.3
# via ipython
sympy==1.13.1
# via torch
tokenizers==0.20.1
# via transformers
torch==2.5.0
# via 1l-sparse-autoencoder
# via accelerate
# via transformer-lens
tornado==6.4.1
# via ipykernel
# via jupyter-client
tqdm==4.66.5
# via 1l-sparse-autoencoder
# via datasets
# via huggingface-hub
# via transformer-lens
# via transformers
traitlets==5.14.3
# via comm
# via ipykernel
# via ipython
# via jupyter-client
# via jupyter-core
# via matplotlib-inline
transformer-lens==2.7.0
# via 1l-sparse-autoencoder
transformers==4.45.2
# via transformer-lens
triton==3.1.0
# via torch
typeguard==2.13.3
# via jaxtyping
typing-extensions==4.12.2
# via huggingface-hub
# via torch
# via transformer-lens
tzdata==2024.2
# via pandas
urllib3==2.2.3
# via requests
# via sentry-sdk
wandb==0.18.5
# via 1l-sparse-autoencoder
# via transformer-lens
wcwidth==0.2.13
# via prompt-toolkit
xxhash==3.5.0
# via datasets
yarl==1.15.5
# via aiohttp