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Fix entrypoint tests for embedding models #14052

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Merged
merged 3 commits into from
Feb 28, 2025
Merged

Fix entrypoint tests for embedding models #14052

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5a9d4e6
Reduce `--max-model-len` to match new model
hmellor Feb 28, 2025
ad24f88
Update embedding length
hmellor Feb 28, 2025
f5034f6
Update token counts because tokenizer is different
hmellor Feb 28, 2025
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22 changes: 11 additions & 11 deletions tests/entrypoints/openai/test_embedding.py
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Original file line number Diff line number Diff line change
Expand Up @@ -27,7 +27,7 @@ def server():
"bfloat16",
"--enforce-eager",
"--max-model-len",
"8192",
"512",
"--chat-template",
DUMMY_CHAT_TEMPLATE,
]
Expand Down Expand Up @@ -60,10 +60,10 @@ async def test_single_embedding(client: openai.AsyncOpenAI, model_name: str):

assert embeddings.id is not None
assert len(embeddings.data) == 1
assert len(embeddings.data[0].embedding) == 4096
assert len(embeddings.data[0].embedding) == 384
assert embeddings.usage.completion_tokens == 0
assert embeddings.usage.prompt_tokens == 9
assert embeddings.usage.total_tokens == 9
assert embeddings.usage.prompt_tokens == 11
assert embeddings.usage.total_tokens == 11

# test using token IDs
input_tokens = [1, 1, 1, 1, 1]
Expand All @@ -77,7 +77,7 @@ async def test_single_embedding(client: openai.AsyncOpenAI, model_name: str):

assert embeddings.id is not None
assert len(embeddings.data) == 1
assert len(embeddings.data[0].embedding) == 4096
assert len(embeddings.data[0].embedding) == 384
assert embeddings.usage.completion_tokens == 0
assert embeddings.usage.prompt_tokens == 5
assert embeddings.usage.total_tokens == 5
Expand All @@ -101,10 +101,10 @@ async def test_batch_embedding(client: openai.AsyncOpenAI, model_name: str):

assert embeddings.id is not None
assert len(embeddings.data) == 3
assert len(embeddings.data[0].embedding) == 4096
assert len(embeddings.data[0].embedding) == 384
assert embeddings.usage.completion_tokens == 0
assert embeddings.usage.prompt_tokens == 32
assert embeddings.usage.total_tokens == 32
assert embeddings.usage.prompt_tokens == 33
assert embeddings.usage.total_tokens == 33

# test List[List[int]]
input_tokens = [[4, 5, 7, 9, 20], [15, 29, 499], [24, 24, 24, 24, 24],
Expand All @@ -119,7 +119,7 @@ async def test_batch_embedding(client: openai.AsyncOpenAI, model_name: str):

assert embeddings.id is not None
assert len(embeddings.data) == 4
assert len(embeddings.data[0].embedding) == 4096
assert len(embeddings.data[0].embedding) == 384
assert embeddings.usage.completion_tokens == 0
assert embeddings.usage.prompt_tokens == 17
assert embeddings.usage.total_tokens == 17
Expand Down Expand Up @@ -234,7 +234,7 @@ async def test_single_embedding_truncation(client: openai.AsyncOpenAI,

assert embeddings.id is not None
assert len(embeddings.data) == 1
assert len(embeddings.data[0].embedding) == 4096
assert len(embeddings.data[0].embedding) == 384
assert embeddings.usage.completion_tokens == 0
assert embeddings.usage.prompt_tokens == 10
assert embeddings.usage.total_tokens == 10
Expand All @@ -252,7 +252,7 @@ async def test_single_embedding_truncation(client: openai.AsyncOpenAI,

assert embeddings.id is not None
assert len(embeddings.data) == 1
assert len(embeddings.data[0].embedding) == 4096
assert len(embeddings.data[0].embedding) == 384
assert embeddings.usage.completion_tokens == 0
assert embeddings.usage.prompt_tokens == 10
assert embeddings.usage.total_tokens == 10
Expand Down