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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 14, 05:30 UTC

[V1] reduce block size for tree attention correctness test to fix 'ou… (#22207)

Signed-off-by: Giancarlo Delfin <gdelfin@meta.com>

Giancarlo Delfin committed Aug 4, 2025 at 19:11 UTC 5ea71ff46fe503df12f18ad41d40f5c2b18dcfcd
1 file changed +1 -1
tests/v1/spec_decode/test_tree_attention.py
+1 -1
@@ -155,7 +155,7 @@ def test_tree_attn_correctness() -> None:
155
156 dim_per_head = 128
157 num_kv_heads = 2
158 - block_size = 128
158 + block_size = 32
159 max_sequence_length = 8192
160 randomize_blocks = True
161 for batch_size in [1, 16, 32]: