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[Bugfix] Fix InternVL2 vision embeddings process with pipeline parallel (#8299)

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This commit is contained in:
Isotr0py
2024-09-11 10:11:01 +08:00
committed by GitHub
parent e497b8aeff
commit 1230263e16
2 changed files with 10 additions and 3 deletions
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10
tests/distributed/test_pipeline_parallel.py
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@@ -32,7 +32,9 @@ VLLM_MULTI_NODE = os.getenv("VLLM_MULTI_NODE", "0") == "1"
(1, 4, 1, 0, 0, "meta-llama/Meta-Llama-3-8B", "ray"),
(2, 2, 1, 0, 0, "meta-llama/Meta-Llama-3-8B", "ray"),
(2, 2, 0, 1, 0, "meta-llama/Meta-Llama-3-8B", "ray"),
(2, 2, 1, 1, 1, "internlm/internlm2_5-7b-chat", "ray"),
(1, 2, 1, 1, 1, "OpenGVLab/InternVL2-1B", "ray"),
(1, 2, 1, 1, 1, "OpenGVLab/InternVL2-2B", "ray"),
(1, 2, 1, 0, 1, "OpenGVLab/InternVL2-4B", "ray"),
],
)
@fork_new_process_for_each_test
@@ -46,6 +48,8 @@ def test_compare_tp(TP_SIZE, PP_SIZE, EAGER_MODE, CHUNKED_PREFILL,
# use half precision for speed and memory savings in CI environment
"--dtype",
"float16",
"--max-model-len",
"8192",
"--pipeline-parallel-size",
str(PP_SIZE),
"--tensor-parallel-size",
@@ -62,7 +66,9 @@ def test_compare_tp(TP_SIZE, PP_SIZE, EAGER_MODE, CHUNKED_PREFILL,
tp_args = [
# use half precision for speed and memory savings in CI environment
"--dtype",
"bfloat16",
"float16",
"--max-model-len",
"8192",
"--tensor-parallel-size",
str(max(TP_SIZE, 2)), # We only use 2 GPUs in the CI.
"--distributed-executor-backend",