29 lines
972 B
Python
29 lines
972 B
Python
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import importlib
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import os
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import unittest
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from unittest import mock
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import torch
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from vllm.v1.sample.ops import topk_topp_sampler
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class TestTopKTopPSamplerOptimize(unittest.TestCase):
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@mock.patch.dict(os.environ, {"VLLM_ASCEND_ENABLE_TOPK_OPTIMIZE": "1"})
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@mock.patch("torch_npu.npu_top_k_top_p")
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def test_npu_topk_topp_called_when_optimized(self, mock_npu_op):
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import vllm_ascend.patch.worker.patch_common.patch_sampler
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importlib.reload(vllm_ascend.patch.worker.patch_common.patch_sampler)
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mock_npu_op.return_value = (torch.randn(1, 3))
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sampler = topk_topp_sampler.TopKTopPSampler()
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logits = torch.tensor([[1.0, 2.0, 3.0]])
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k = torch.tensor([2])
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p = torch.tensor([0.9])
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generators = {0: torch.Generator()}
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generators[0].manual_seed(42)
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sampler.forward_native(logits, generators, k, p)
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mock_npu_op.assert_called_once_with(logits, p, k)
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