text-generation-inference/server/text_generation_server
Nicolas Patry abd58ff82c
feat(server): Rework model loading (#344)
# What does this PR do?

Reworked the loading logic. Idea is to use cleaner loading code:

- Remove need for `no_init_weights`
- Remove all weird `bnb_linear` and `load_weights` and
`post_load_weights`.

New code layout:

- New class `Weights` in charge of handling loading the weights from
multiple files into appropiate tensors (potentially sharded)
- TP layers now are "shells", they contain the code to know what kind of
sharding we need + eventual `all_reduce`. They do not inherit from
linear, but they contain some kind of Linear instead
- the contained linear can be either FastLinear, BnbLinear or GPTq
Linear next.
- All modeling code is explictly made for sharding, process group is
just no-ops for non sharded code (removes a lot of test cases)

![Screenshot from 2023-05-19
23-19-59](https://github.com/huggingface/text-generation-inference/assets/204321/9a802654-74a3-488c-87a8-073743a6143f)

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Co-authored-by: Ubuntu <ubuntu@ip-172-31-41-161.taildb5d.ts.net>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-41-161.ec2.internal>
Co-authored-by: OlivierDehaene <olivier@huggingface.co>
Co-authored-by: OlivierDehaene <23298448+OlivierDehaene@users.noreply.github.com>
2023-06-08 14:51:52 +02:00
..
models feat(server): Rework model loading (#344) 2023-06-08 14:51:52 +02:00
pb feat(server): clear cache on error (#143) 2023-03-28 11:29:35 +02:00
utils feat(server): Rework model loading (#344) 2023-06-08 14:51:52 +02:00
__init__.py feat(clients): Python client (#103) 2023-03-07 18:52:22 +01:00
cache.py feat(server): clear cache on error (#143) 2023-03-28 11:29:35 +02:00
cli.py feat(server): support trust_remote_code (#363) 2023-05-23 20:40:39 +02:00
interceptor.py feat(clients): Python client (#103) 2023-03-07 18:52:22 +01:00
server.py feat(server): support vectorized warpers in flash causal lm (#317) 2023-05-26 12:30:27 +02:00
tracing.py feat(clients): Python client (#103) 2023-03-07 18:52:22 +01:00