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[V1] V1 Enablement Oracle (#13726)

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Signed-off-by: rshaw@neuralmagic.com <rshaw@neuralmagic.com>
Co-authored-by: rshaw@neuralmagic.com <rshaw@neuralmagic.com>
Co-authored-by: Nicolò Lucchesi <nlucches@redhat.com>
Co-authored-by: Tyler Michael Smith <tyler@neuralmagic.com>
Co-authored-by: Michael Goin <michael@neuralmagic.com>
This commit is contained in:
Robert Shaw
2025-03-15 01:02:20 -04:00
committed by GitHub
parent 8c0d15d5c5
commit d4d93db2c5
96 changed files with 1537 additions and 512 deletions
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14
tests/models/decoder_only/language/test_hybrid.py
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@@ -9,7 +9,9 @@ from vllm.sampling_params import SamplingParams
from ...utils import check_outputs_equal
# This test is for the hybrid models
MODELS = ["ai21labs/Jamba-tiny-dev", "ibm-ai-platform/Bamba-9B"]
MODELS = ["ai21labs/Jamba-tiny-dev"]
# Bamba at Fp32 is too big for the CI (L4 GPU).
# MODELS = ["ai21labs/Jamba-tiny-dev", "ibm-ai-platform/Bamba-9B"]
@pytest.mark.parametrize("model", MODELS)
@@ -41,13 +43,6 @@ def test_models(
with vllm_runner(model, dtype=dtype) as vllm_model:
vllm_outputs = vllm_model.generate_greedy(example_prompts, max_tokens)
# This test is for verifying whether the model's extra_repr
# can be printed correctly.
def print_model(model):
print(model)
vllm_model.apply_model(print_model)
for i in range(len(example_prompts)):
hf_output_ids, hf_output_str = hf_outputs[i]
vllm_output_ids, vllm_output_str = vllm_outputs[i]
@@ -192,6 +187,7 @@ def test_parallel_sampling(
)
@pytest.mark.skip(reason="RE-ENABLE: test is currently failing on main.")
@pytest.mark.parametrize("model", MODELS)
@pytest.mark.parametrize("dtype", ["bfloat16"])
@pytest.mark.parametrize("max_tokens", [20])
@@ -293,6 +289,7 @@ def test_state_cleanup(
"could be related to finished_requests_ids")
@pytest.mark.skip(reason="RE-ENABLE: test is currently failing on main.")
@pytest.mark.parametrize("model", MODELS)
@pytest.mark.parametrize("dtype", ["float"])
def test_multistep(
@@ -308,6 +305,7 @@ def test_multistep(
vllm_model.generate_greedy([example_prompts[0]] * 10, 1)
@pytest.mark.skip(reason="RE-ENABLE: test is currently failing on main.")
@pytest.mark.parametrize("model", MODELS)
@pytest.mark.parametrize("dtype", ["float"])
@pytest.mark.parametrize("max_tokens", [64])