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48 lines
1.5 KiB
Python
48 lines
1.5 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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import pytest
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import torch
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from vllm.plugins import load_general_plugins
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def test_platform_plugins():
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# simulate workload by running an example
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import runpy
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current_file = __file__
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import os
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example_file = os.path.join(
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os.path.dirname(os.path.dirname(os.path.dirname(current_file))),
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"examples",
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"offline_inference/basic/basic.py",
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)
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runpy.run_path(example_file)
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# check if the plugin is loaded correctly
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from vllm.platforms import _init_trace, current_platform
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assert current_platform.device_name == "DummyDevice", (
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f"Expected DummyDevice, got {current_platform.device_name}, "
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"possibly because current_platform is imported before the plugin"
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f" is loaded. The first import:\n{_init_trace}"
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)
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def test_oot_custom_op(monkeypatch: pytest.MonkeyPatch):
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# simulate workload by running an example
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load_general_plugins()
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from vllm.model_executor.layers.rotary_embedding import RotaryEmbedding
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layer = RotaryEmbedding(16, 16, 16, 16, True, torch.float16)
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assert layer.__class__.__name__ == "DummyRotaryEmbedding", (
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f"Expected DummyRotaryEmbedding, got {layer.__class__.__name__}, "
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"possibly because the custom op is not registered correctly."
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)
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assert hasattr(layer, "addition_config"), (
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"Expected DummyRotaryEmbedding to have an 'addition_config' attribute, "
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"which is set by the custom op."
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)
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