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529d7c2591
local directory overloaded still needs the directory to locate the weights files correctly. # 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 -->
106 lines
3.1 KiB
Python
106 lines
3.1 KiB
Python
import os
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import requests
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import tempfile
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import pytest
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import huggingface_hub.constants
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from huggingface_hub import hf_api
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import text_generation_server.utils.hub
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from text_generation_server.utils.hub import (
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weight_hub_files,
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download_weights,
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weight_files,
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EntryNotFoundError,
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LocalEntryNotFoundError,
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RevisionNotFoundError,
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)
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@pytest.fixture()
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def offline():
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current_value = text_generation_server.utils.hub.HF_HUB_OFFLINE
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text_generation_server.utils.hub.HF_HUB_OFFLINE = True
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yield "offline"
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text_generation_server.utils.hub.HF_HUB_OFFLINE = current_value
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@pytest.fixture()
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def fresh_cache():
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with tempfile.TemporaryDirectory() as d:
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current_value = huggingface_hub.constants.HUGGINGFACE_HUB_CACHE
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huggingface_hub.constants.HUGGINGFACE_HUB_CACHE = d
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text_generation_server.utils.hub.HUGGINGFACE_HUB_CACHE = d
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os.environ["HUGGINGFACE_HUB_CACHE"] = d
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yield
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huggingface_hub.constants.HUGGINGFACE_HUB_CACHE = current_value
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os.environ["HUGGINGFACE_HUB_CACHE"] = current_value
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text_generation_server.utils.hub.HUGGINGFACE_HUB_CACHE = current_value
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@pytest.fixture()
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def prefetched():
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model_id = "bert-base-uncased"
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huggingface_hub.snapshot_download(
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repo_id=model_id,
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revision="main",
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local_files_only=False,
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repo_type="model",
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allow_patterns=["*.safetensors"],
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)
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yield model_id
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def test_weight_hub_files_offline_error(offline, fresh_cache):
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# If the model is not prefetched then it will raise an error
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with pytest.raises(EntryNotFoundError):
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weight_hub_files("gpt2")
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def test_weight_hub_files_offline_ok(prefetched, offline):
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# If the model is prefetched then we should be able to get the weight files from local cache
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filenames = weight_hub_files(prefetched)
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root = None
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assert len(filenames) == 1
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for f in filenames:
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curroot, filename = os.path.split(f)
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if root is None:
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root = curroot
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else:
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assert root == curroot
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assert filename == "model.safetensors"
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def test_weight_hub_files():
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filenames = weight_hub_files("bigscience/bloom-560m")
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assert filenames == ["model.safetensors"]
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def test_weight_hub_files_llm():
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filenames = weight_hub_files("bigscience/bloom")
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assert filenames == [f"model_{i:05d}-of-00072.safetensors" for i in range(1, 73)]
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def test_weight_hub_files_empty():
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with pytest.raises(EntryNotFoundError):
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weight_hub_files("bigscience/bloom", extension=".errors")
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def test_download_weights():
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model_id = "bigscience/bloom-560m"
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filenames = weight_hub_files(model_id)
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files = download_weights(filenames, model_id)
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local_files = weight_files("bigscience/bloom-560m")
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assert files == local_files
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def test_weight_files_revision_error():
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with pytest.raises(RevisionNotFoundError):
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weight_files("bigscience/bloom-560m", revision="error")
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def test_weight_files_not_cached_error(fresh_cache):
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with pytest.raises(LocalEntryNotFoundError):
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weight_files("bert-base-uncased")
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