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[CI/Build] Avoid duplicate empty inputs test for common multimodal generation tests (#29907)

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Signed-off-by: Isotr0py <mozf@mail2.sysu.edu.cn>
This commit is contained in:
Isotr0py
2025-12-03 18:27:36 +08:00
committed by GitHub
parent a21cd9ed23
commit cc4e296ea6
3 changed files with 69 additions and 63 deletions
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14
tests/models/multimodal/generation/test_common.py
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@@ -137,7 +137,7 @@ VLM_TEST_SETTINGS = {
max_num_seqs=2,
auto_cls=AutoModelForImageTextToText,
vllm_output_post_proc=model_utils.qwen2_vllm_to_hf_output,
image_size_factors=[(), (0.25,), (0.25, 0.25, 0.25), (0.25, 0.2, 0.15)],
image_size_factors=[(0.25,), (0.25, 0.25, 0.25), (0.25, 0.2, 0.15)],
marks=[pytest.mark.core_model, pytest.mark.cpu_model],
),
"qwen2_5_omni": VLMTestInfo(
@@ -152,7 +152,7 @@ VLM_TEST_SETTINGS = {
auto_cls=AutoModelForTextToWaveform,
vllm_output_post_proc=model_utils.qwen2_vllm_to_hf_output,
patch_hf_runner=model_utils.qwen2_5_omni_patch_hf_runner,
image_size_factors=[(), (0.25,), (0.25, 0.25, 0.25), (0.25, 0.2, 0.15)],
image_size_factors=[(0.25,), (0.25, 0.25, 0.25), (0.25, 0.2, 0.15)],
marks=[pytest.mark.core_model, pytest.mark.cpu_model],
),
"qwen3_vl": VLMTestInfo(
@@ -173,7 +173,7 @@ VLM_TEST_SETTINGS = {
auto_cls=AutoModelForImageTextToText,
vllm_output_post_proc=model_utils.qwen2_vllm_to_hf_output,
patch_hf_runner=model_utils.qwen3_vl_patch_hf_runner,
image_size_factors=[(), (0.25,), (0.25, 0.25, 0.25), (0.25, 0.2, 0.15)],
image_size_factors=[(0.25,), (0.25, 0.25, 0.25), (0.25, 0.2, 0.15)],
marks=[
pytest.mark.core_model,
],
@@ -350,7 +350,7 @@ VLM_TEST_SETTINGS = {
patch_hf_runner=model_utils.deepseekvl2_patch_hf_runner,
hf_output_post_proc=model_utils.deepseekvl2_trunc_hf_output,
stop_str=["<｜end▁of▁sentence｜>", "<｜begin▁of▁sentence｜>"],
image_size_factors=[(), (1.0,), (1.0, 1.0, 1.0), (0.1, 0.5, 1.0)],
image_size_factors=[(1.0,), (1.0, 1.0, 1.0), (0.1, 0.5, 1.0)],
),
"fuyu": VLMTestInfo(
models=["adept/fuyu-8b"],
@@ -707,7 +707,7 @@ VLM_TEST_SETTINGS = {
max_model_len=8192,
max_num_seqs=2,
auto_cls=AutoModelForCausalLM,
image_size_factors=[(), (0.25,)],
image_size_factors=[(0.25,)],
marks=[
pytest.mark.skipif(
Version(TRANSFORMERS_VERSION) == Version("4.57.3"),
@@ -760,7 +760,7 @@ VLM_TEST_SETTINGS = {
max_num_seqs=2,
auto_cls=AutoModelForImageTextToText,
vllm_output_post_proc=model_utils.qwen2_vllm_to_hf_output,
image_size_factors=[(), (0.25,), (0.25, 0.25, 0.25), (0.25, 0.2, 0.15)],
image_size_factors=[(0.25,), (0.25, 0.25, 0.25), (0.25, 0.2, 0.15)],
marks=[pytest.mark.cpu_model],
),
"skywork_r1v": VLMTestInfo(
@@ -812,7 +812,7 @@ VLM_TEST_SETTINGS = {
max_model_len=4096,
max_num_seqs=2,
auto_cls=AutoModelForImageTextToText,
image_size_factors=[(), (0.25,), (0.25, 0.25, 0.25), (0.25, 0.2, 0.15)],
image_size_factors=[(0.25,), (0.25, 0.25, 0.25), (0.25, 0.2, 0.15)],
marks=[pytest.mark.skip("Model initialization hangs")],
),
### Tensor parallel / multi-gpu broadcast tests