[Misc] Rename assets for testing (#17575)

Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>
This commit is contained in:
Cyrus Leung
2025-05-02 18:29:25 +08:00
committed by GitHub
parent c777df79f7
commit d7543862bd
28 changed files with 145 additions and 131 deletions

View File

@@ -14,8 +14,8 @@ from vllm.model_executor.models.mllama import MllamaForConditionalGeneration
from vllm.multimodal.image import rescale_image_size
from vllm.sequence import SampleLogprobs
from ....conftest import (IMAGE_ASSETS, HfRunner, PromptImageInput, VllmRunner,
_ImageAssets)
from ....conftest import (IMAGE_ASSETS, HfRunner, ImageTestAssets,
PromptImageInput, VllmRunner)
from ....quantization.utils import is_quant_method_supported
from ....utils import (create_new_process_for_each_test, large_gpu_test,
multi_gpu_test)
@@ -90,7 +90,7 @@ def vllm_to_hf_output(vllm_output: tuple[list[int], str,
def _get_inputs(
image_assets: _ImageAssets,
image_assets: ImageTestAssets,
*,
size_factors: Optional[list[float]] = None,
sizes: Optional[list[tuple[int, int]]] = None,
@@ -126,7 +126,7 @@ def _get_inputs(
def run_test(
hf_runner: type[HfRunner],
vllm_runner: type[VllmRunner],
image_assets: _ImageAssets,
image_assets: ImageTestAssets,
model: str,
*,
size_factors: list[float],
@@ -143,7 +143,7 @@ def run_test(
def run_test(
hf_runner: type[HfRunner],
vllm_runner: type[VllmRunner],
image_assets: _ImageAssets,
image_assets: ImageTestAssets,
model: str,
*,
sizes: list[tuple[int, int]],
@@ -159,7 +159,7 @@ def run_test(
def run_test(
hf_runner: type[HfRunner],
vllm_runner: type[VllmRunner],
image_assets: _ImageAssets,
image_assets: ImageTestAssets,
model: str,
*,
size_factors: Optional[list[float]] = None,
@@ -433,7 +433,7 @@ def test_models_distributed(
@pytest.mark.skipif(not is_quant_method_supported("bitsandbytes"),
reason='bitsandbytes is not supported on this GPU type.')
def test_bnb_regression(
image_assets: _ImageAssets,
image_assets: ImageTestAssets,
model: str,
dtype: str,
max_tokens: int,
@@ -473,7 +473,7 @@ def test_bnb_regression(
@pytest.mark.parametrize("dtype", ["bfloat16"])
@pytest.mark.parametrize("max_tokens", [32])
def test_explicit_implicit_prompt(
image_assets: _ImageAssets,
image_assets: ImageTestAssets,
model: str,
dtype: str,
max_tokens: int,