45 lines
1.5 KiB
Python
45 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.v1.worker.utils import KVBlockZeroer
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@pytest.mark.skipif(not torch.cuda.is_available(), reason="CUDA required")
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def test_block_ids_are_not_overwritten_while_copy_is_in_flight():
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device = torch.device("cuda")
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num_blocks = 4
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page_size_el = 4
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storage = torch.ones((num_blocks, page_size_el), dtype=torch.int32, device=device)
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# Build the minimal zeroer state directly so the test can focus on ID-buffer
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# lifetime without constructing model attention groups.
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zeroer = KVBlockZeroer.__new__(KVBlockZeroer)
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zeroer.device = device
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zeroer.pin_memory = True
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zeroer.max_concurrency = 2
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zeroer._id_cap = 8
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zeroer._allocate_id_buffers()
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zeroer._meta = (
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torch.tensor([storage.data_ptr()], dtype=torch.uint64, device=device),
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page_size_el,
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page_size_el,
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1,
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)
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stream = torch.cuda.Stream()
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with torch.cuda.stream(stream):
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# Keep the first nonblocking H2D copy pending while the host submits the
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# second call. A single shared pinned source would be overwritten here.
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torch.cuda._sleep(10_000_000)
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zeroer.zero_block_ids([1])
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zeroer.zero_block_ids([2])
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stream.synchronize()
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assert torch.all(storage[0] == 1)
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assert torch.all(storage[1] == 0)
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assert torch.all(storage[2] == 0)
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assert torch.all(storage[3] == 1)
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