[NPU] Avoid device synchronization in Ascend sampling (#39404)
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@@ -0,0 +1,57 @@
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"""Unit tests for the Ascend sampling dispatch path."""
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import unittest
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from types import SimpleNamespace
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from unittest.mock import MagicMock, patch
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import torch
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from sglang.srt.layers import sampler as sampler_module
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from sglang.test.ci.ci_register import register_cpu_ci
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register_cpu_ci(est_time=1, suite="base-a-test-cpu")
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class TestAscendSamplerDispatch(unittest.TestCase):
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def test_top_k_dispatch_does_not_read_device_values_on_cpu(self):
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logits = torch.tensor([[0.1, 0.2, 0.3, 0.4]])
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top_ks = torch.tensor([2], dtype=torch.int32)
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top_ps = torch.ones(1)
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min_ps = torch.zeros(1)
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positions = torch.zeros(1, dtype=torch.int64)
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for eligible in (True, False):
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with self.subTest(eligible=eligible):
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npu_top_k_top_p = MagicMock(return_value=logits)
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with (
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patch.object(
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sampler_module,
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"torch_npu",
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SimpleNamespace(npu_top_k_top_p=npu_top_k_top_p),
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create=True,
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),
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patch.object(
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sampler_module.torch,
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"all",
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side_effect=AssertionError("device predicate was inspected"),
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),
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):
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result = (
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sampler_module.top_k_top_p_min_p_sampling_from_logits_ascend(
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logits.clone(),
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top_ks.clone(),
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top_ps,
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min_ps,
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False,
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None,
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positions,
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npu_top_k_top_p_eligible=eligible,
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)
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)
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self.assertEqual(tuple(result.shape), (1,))
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self.assertEqual(npu_top_k_top_p.called, eligible)
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if __name__ == "__main__":
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unittest.main()
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@@ -492,18 +492,21 @@ class TestMergeBatch(CustomTestCase):
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need_top_p_sampling=False,
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need_top_k_sampling=False,
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need_min_p_sampling=False,
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npu_top_k_top_p_eligible=True,
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)
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info2 = _make_info(
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is_all_greedy=False,
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need_top_p_sampling=True,
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need_top_k_sampling=True,
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need_min_p_sampling=True,
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npu_top_k_top_p_eligible=False,
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)
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info1.merge_batch(info2)
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self.assertFalse(info1.is_all_greedy) # AND semantics
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self.assertTrue(info1.need_top_p_sampling) # OR semantics
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self.assertTrue(info1.need_top_k_sampling) # OR semantics
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self.assertTrue(info1.need_min_p_sampling) # OR semantics
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self.assertFalse(info1.npu_top_k_top_p_eligible) # AND semantics
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def test_merge_with_logit_bias(self):
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"""Test that merge pads missing logit_bias with zeros before concatenation."""
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@@ -675,6 +678,22 @@ class TestFromScheduleBatch(CustomTestCase):
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self.assertTrue(info.need_min_p_sampling) # 0.1 > 0
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self.assertFalse(info.is_all_greedy) # top_k=50 > 1
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def test_npu_top_k_top_p_eligibility_uses_request_params(self):
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cases = (
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((1, 1024), True),
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((1, 1025), False),
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((4, TOP_K_ALL), False),
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)
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for top_ks, expected in cases:
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with self.subTest(top_ks=top_ks):
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batch = MagicMock()
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batch.reqs = [self._make_req(top_k=top_k) for top_k in top_ks]
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batch.device = DEVICE
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info = SamplingBatchInfo.from_schedule_batch(batch, VOCAB_SIZE)
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self.assertEqual(info.npu_top_k_top_p_eligible, expected)
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def test_no_logit_bias_when_all_none(self):
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"""Test that logit_bias stays None when no request has logit_bias set."""
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