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⚙️ Fix Integration Test for TGI #124
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Nice, few nits, but overall it seems fine to me.
For GPT2, I wonder if it would be useful to pass the JETSTREAM_PT_DISABLED=1
env var, otherwise it will try to use jetstream first, and go to torch xla as fallback.
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class LauncherHandle: | ||
def __init__(self, port: int): | ||
self.client = AsyncClient(f"http://localhost:{port}") | ||
self.client = AsyncClient(f"http://localhost:{port}", timeout=600) | ||
self.logger = logging.getLogger(self.__class__.__name__) |
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note we use loguru
elsewhere for logging
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Refactored with loguru
"LOG_LEVEL": "info,text_generation_router,text_generation_launcher=debug", | ||
"MAX_BATCH_SIZE": "4", | ||
"HF_HUB_ENABLE_HF_TRANSFER": "0", | ||
"JETSTREAM_PT": "1", |
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you can remove this one now
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I moved it to a model config dict, so the arguments can be added for each models. I prefer to leave keep log_level as it allows for easier debugging in case a test fails
import Levenshtein | ||
import pytest | ||
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MODEL_ID = "google/gemma-2b-it" |
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wouldn't it be possible to have a single test file with different parameters per model instead of having a new file?
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Refractored the different test files into a single file where you can have a list of configs
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LGTM!
What does this PR do?
Fixes broken TGI integration tests and adds Gemma model test
Changes
Notes
This PR is currently not integrated with CI due to some issue with Docker-in-Docker (DinD) on the GitHub runners