A high-throughput and memory-efficient inference and serving engine for LLMs
Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git
Synced Nov 8, 16:30 UTC
[CI] Remove empty image_size_factors for fuyu, glm4_1v, glm_ocr (#34107)
Signed-off-by: Andreas Karatzas <akaratza@amd.com>
Andreas Karatzas committed
Feb 9, 2026 at 03:37 UTC
3025b3cebb1f019ccd6918cc54da1ca32f53a777
1 file changed
+3
-3
tests/models/multimodal/generation/test_common.py
+3
-3
@@ -377,7 +377,7 @@ VLM_TEST_SETTINGS = {
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use_tokenizer_eos=True,
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vllm_output_post_proc=model_utils.fuyu_vllm_to_hf_output,
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num_logprobs=10,
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- image_size_factors=[(), (0.25,), (0.25, 0.25, 0.25), (0.25, 0.2, 0.15)],
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+ image_size_factors=[(0.25,), (0.25, 0.25, 0.25), (0.25, 0.2, 0.15)],
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marks=[large_gpu_mark(min_gb=32)],
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),
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"gemma3": VLMTestInfo(
@@ -437,7 +437,7 @@ VLM_TEST_SETTINGS = {
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max_num_seqs=2,
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get_stop_token_ids=lambda tok: [151329, 151336, 151338],
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num_logprobs=10,
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- image_size_factors=[(), (0.25,), (0.25, 0.25, 0.25), (0.25, 0.2, 0.15)],
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+ image_size_factors=[(0.25,), (0.25, 0.25, 0.25), (0.25, 0.2, 0.15)],
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auto_cls=AutoModelForImageTextToText,
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marks=[large_gpu_mark(min_gb=32)],
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),
@@ -468,7 +468,7 @@ VLM_TEST_SETTINGS = {
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max_num_seqs=2,
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get_stop_token_ids=lambda tok: [151329, 151336, 151338],
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num_logprobs=10,
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- image_size_factors=[(), (0.25,), (0.25, 0.25, 0.25), (0.25, 0.2, 0.15)],
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+ image_size_factors=[(0.25,), (0.25, 0.25, 0.25), (0.25, 0.2, 0.15)],
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auto_cls=AutoModelForImageTextToText,
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marks=[large_gpu_mark(min_gb=32)],
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),