mirror of
https://github.com/huggingface/text-generation-inference.git
synced 2025-04-19 22:02:06 +00:00
35 lines
878 B
Python
35 lines
878 B
Python
|
import pytest
|
||
|
|
|
||
|
|
from text_generation.utils import (
|
||
|
|
weight_hub_files,
|
||
|
|
download_weights,
|
||
|
|
weight_files,
|
||
|
|
LocalEntryNotFoundError,
|
||
|
|
)
|
||
|
|
|
||
|
|
|
||
|
|
def test_weight_hub_files():
|
||
|
|
filenames = weight_hub_files("bigscience/bloom-560m")
|
||
|
|
assert filenames == ["model.safetensors"]
|
||
|
|
|
||
|
|
|
||
|
|
def test_weight_hub_files_llm():
|
||
|
|
filenames = weight_hub_files("bigscience/bloom")
|
||
|
|
assert filenames == [f"model_{i:05d}-of-00072.safetensors" for i in range(1, 73)]
|
||
|
|
|
||
|
|
|
||
|
|
def test_weight_hub_files_empty():
|
||
|
|
filenames = weight_hub_files("bigscience/bloom", ".errors")
|
||
|
|
assert filenames == []
|
||
|
|
|
||
|
|
|
||
|
|
def test_download_weights():
|
||
|
|
files = download_weights("bigscience/bloom-560m")
|
||
|
|
local_files = weight_files("bigscience/bloom-560m")
|
||
|
|
assert files == local_files
|
||
|
|
|
||
|
|
|
||
|
|
def test_weight_files_error():
|
||
|
|
with pytest.raises(LocalEntryNotFoundError):
|
||
|
|
weight_files("bert-base-uncased")
|