f7ac394935
fix(router): Obey max batch size ( #23 )
2023-01-17 09:11:21 +01:00
e6d3eb5d5d
fix(server): Minor refactorization using new_zeros ( #24 )
...
- Fix some type hints, in particular base tokenizer class
- Make use of `tensor.new_zero/empty` methods
- Simplify env var string parsing in launcher
2023-01-17 09:10:22 +01:00
60472f9d2b
feat(router): Add const parameters to validation logic ( #15 )
...
I noticed some opportunity to collapse some of the logic, in case you
are interested.
2023-01-03 10:41:22 +01:00
3efa5bbbfd
fix(router): Include special tokens when tokenizing ( #14 )
...
There's currently a discrepancy in the tokenization between the router
and python server code. The latter includes special tokens but former
does not.
This results in a token count mismatch for seq2seq models such as mt0
where the tokenizer emits an EOS token at the end.
This in turn results in some unexpected/incorrect output, in particular
when batch concatenation is involved, because the python code uses the
input length passed from the router for each row.
As far as I can tell, it is better to include this token in the encoder
`input_ids`, so I guess it's best to just adjust on the router side.
2022-12-30 19:31:44 +01:00
32a253063d
feat: Return logprobs ( #8 )
2022-12-15 17:03:56 +01:00
718096f695
feat: Support stop sequences ( #7 )
2022-12-12 18:25:22 +01:00
a2985036aa
feat(server): Add model tests ( #6 )
2022-12-08 18:49:33 +01:00
31d76e238d
fix(batching): Avoid theoretical hang in batcher loop ( #5 )
...
- Avoid theoretical hang in batcher loop
- Avoid a couple of clones in the router generate method
- Keep attention mask tensors as integers
- Remove num_heads attribute
Co-authored-by: OlivierDehaene <Olivier.dehaene@gmail.com>
2022-12-05 10:10:59 +01:00
d6d5b12e03
fix(router): Handle tokenizer errors
2022-11-14 17:15:19 +01:00
91f5f86280
fix(router): Fix HTTP status codes
2022-11-14 14:34:15 +01:00
427d7cc444
feat(server): Support AutoModelForSeq2SeqLM
2022-11-04 18:03:04 +01:00
c5665f5c8b
feat(server): Support generic AutoModelForCausalLM
2022-11-04 14:22:47 +01:00
b3b7ea0d74
feat: Use json formatter by default in docker image
2022-11-02 17:29:56 +01:00
3cf6368c77
feat(server): Support all AutoModelForCausalLM on a best effort basis
2022-10-28 19:24:00 +02:00
09674e6df9
feat(server): Support bitsandbytes
2022-10-27 14:25:29 +02:00
beb552127a
feat(client): Simplify sharded logic
2022-10-22 23:40:05 +02:00
c837893370
feat(router): Add max_waiting_tokens
2022-10-21 16:40:05 +02:00
895a341d06
fix(validation): Fix error messages
2022-10-21 10:59:15 +02:00
f16f2f5ae1
v0.1.0
2022-10-20 19:14:44 +02:00
92c1ecd008
feat: Add arguments to CLI
2022-10-17 18:27:33 +02:00
5e5d8766a2
feat: Improve error handling
2022-10-17 14:59:00 +02:00
bcb53903b8
feat: Add AML deployment
2022-10-15 20:21:50 +02:00
bf99afe916
feat: Docker image
2022-10-14 15:56:21 +02:00
39df4d9975
Use axum
2022-10-11 18:14:39 +02:00
e86ecbac63
ValidationError was not correctly handled
2022-10-11 16:53:40 +02:00
4c693e6524
Refactored gRPC interface
...
Added validation logic
2022-10-11 16:50:54 +02:00
fa9a088467
Add load testing
2022-10-11 10:36:51 +02:00
295831a481
Init
2022-10-08 12:30:12 +02:00
Nick Hill