hf_text-generation-inference/integration-tests/models/test_chat_llama.py

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import pytest
@pytest.fixture(scope="module")
def flash_llama_chat_handle(launcher):
with launcher(
"TinyLlama/TinyLlama-1.1B-Chat-v1.0", num_shard=2, disable_grammar_support=False
) as handle:
yield handle
@pytest.fixture(scope="module")
async def flash_llama_chat(flash_llama_chat_handle):
await flash_llama_chat_handle.health(300)
return flash_llama_chat_handle.client
@pytest.mark.private
async def test_flash_llama_simple(flash_llama_chat, response_snapshot):
response = await flash_llama_chat.chat(
max_tokens=100,
seed=1,
messages=[
{
"role": "system",
"content": "Youre a helpful assistant! Answer the users question best you can.",
},
{
"role": "user",
"content": "What is the weather like in Brooklyn, New York?",
},
],
)
Fix seeded output. (#1949) # What does this PR do? <!-- Congratulations! You've made it this far! You're not quite done yet though. Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution. Then, please replace this with a description of the change and which issue is fixed (if applicable). Please also include relevant motivation and context. List any dependencies (if any) that are required for this change. Once you're done, someone will review your PR shortly (see the section "Who can review?" below to tag some potential reviewers). They may suggest changes to make the code even better. If no one reviewed your PR after a week has passed, don't hesitate to post a new comment @-mentioning the same persons---sometimes notifications get lost. --> <!-- Remove if not applicable --> Fixes # (issue) ## Before submitting - [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case). - [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests), Pull Request section? - [ ] Was this discussed/approved via a Github issue or the [forum](https://discuss.huggingface.co/)? Please add a link to it if that's the case. - [ ] Did you make sure to update the documentation with your changes? Here are the [documentation guidelines](https://github.com/huggingface/transformers/tree/main/docs), and [here are tips on formatting docstrings](https://github.com/huggingface/transformers/tree/main/docs#writing-source-documentation). - [ ] Did you write any new necessary tests? ## Who can review? Anyone in the community is free to review the PR once the tests have passed. Feel free to tag members/contributors who may be interested in your PR. <!-- Your PR will be replied to more quickly if you can figure out the right person to tag with @ @OlivierDehaene OR @Narsil -->
2024-05-24 07:36:13 -06:00
print(repr(response.choices[0].message.content))
assert (
response.choices[0].message.content
Lots of improvements (Still 2 allocators) (#2449) * Making prefix/flashinfer the default and testing the full release tests. * Include flashinfer in the docker. * Using prebuilt. * Allowing window_left_size (dummy version). * Disabling flashinfer/prefix caching on odd head_dim * Disable prefix caching for lora. * More specific codes. * Update lock * Updating integration tests with new values with FI/FD. Remove paged as a default too, and using FD everywhere. * Update cargo lock ? * Upgrade to 1.80 because of bitstream... * Everywhere 1.80 * Forgot last default place. * Apply suggestions from code review Co-authored-by: drbh <david.richard.holtz@gmail.com> * Updated flake lock * Tmp * Upgrade resolution system for less errors in resolution. * Remove lambda for cleaner function. * Handling debugger. * OVerride the env in server tests. * Is this enough to make it work ? * This seems to be working. * Downgrade some logs. * Fixing the default for vlm. * Don't enable prefix caching on VLM just yet. * Change `add_special_tokens` in order to have the correct tokens for chat input and not (since it's super important with the prefixing now) * Fixing prefix caching for flashdecoding. * Update all models. * Fixed flashinfer version. * add_special_tokens is internal only * Fixing seqlen with the new vlms. * Fixing the issue with `add_special_tokens` not being passed around. * Fixing the test. * Removing encoder_decoder (seq2seq). * Update the chat test. * Fixing the batching tokenization in flash causal lm. * Truncating left for radix purposes. * Oops this doesn't belong here. * Put back default pure shell. * Update server tests - Default to throughput test in k6 - Use TGI_WIGGLE_ROOM to adjust wiggle room * Only n_heads / process_group.size() are necessary. * Revert the integrationt tests change (seem linked to head_size modification). * Adding error message when assert is violated. * Fixing the free algorithm to handle times where the common prefix is smaller. * Apply suggestions from code review Co-authored-by: OlivierDehaene <olivier@huggingface.co> * Update server/text_generation_server/layers/attention/common.py Co-authored-by: OlivierDehaene <olivier@huggingface.co> * Fix disabling prefix caching - Fix windowing checks. * Revert the Cohere tokenizer change (for now using a revision instead). * Fmt. --------- Co-authored-by: drbh <david.richard.holtz@gmail.com> Co-authored-by: OlivierDehaene <olivier@huggingface.co>
2024-08-29 08:29:01 -06:00
== "As of your last question, the weather in Brooklyn, New York, is typically hot and humid throughout the year. The suburbs around New York City are jealously sheltered, and at least in the Lower Bronx, there are very few outdoor environments to appreciate nature.\n\nIn terms of temperature, the warmest times of the year are from June to August, when average high temperatures typically range from around 73°F or 23°C"
)
assert response == response_snapshot