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| 1 | +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. |
| 2 | +# |
| 3 | +# SPDX-License-Identifier: LicenseRef-NVIDIA-SOFTWARE-LICENSE |
| 4 | +"""Multiprocess stress tests for FileStreamProgramCache. |
| 5 | +
|
| 6 | +These run without a GPU. They exercise the atomic-rename write path from |
| 7 | +multiple processes launched via ``multiprocessing.get_context("spawn")``. |
| 8 | +""" |
| 9 | + |
| 10 | +from __future__ import annotations |
| 11 | + |
| 12 | +import multiprocessing as _mp |
| 13 | + |
| 14 | + |
| 15 | +def _worker_write(root: str, key: bytes, payload: bytes, name: str) -> None: |
| 16 | + from cuda.core._module import ObjectCode |
| 17 | + from cuda.core.utils import FileStreamProgramCache |
| 18 | + |
| 19 | + with FileStreamProgramCache(root) as cache: |
| 20 | + cache[key] = ObjectCode._init(payload, "cubin", name=name) |
| 21 | + |
| 22 | + |
| 23 | +def _worker_write_many(root: str, base: int, n: int) -> None: |
| 24 | + from cuda.core._module import ObjectCode |
| 25 | + from cuda.core.utils import FileStreamProgramCache |
| 26 | + |
| 27 | + with FileStreamProgramCache(root) as cache: |
| 28 | + for i in range(n): |
| 29 | + key = f"proc-{base}-key-{i}".encode() |
| 30 | + cache[key] = ObjectCode._init( |
| 31 | + f"payload-{base}-{i}".encode(), "cubin", name=f"p{base}-{i}" |
| 32 | + ) |
| 33 | + |
| 34 | + |
| 35 | +def _worker_reader(root: str, key: bytes, rounds: int, result_queue) -> None: |
| 36 | + from cuda.core.utils import FileStreamProgramCache |
| 37 | + |
| 38 | + hits = 0 |
| 39 | + for _ in range(rounds): |
| 40 | + with FileStreamProgramCache(root) as cache: |
| 41 | + got = cache.get(key) |
| 42 | + if got is not None: |
| 43 | + hits += 1 |
| 44 | + result_queue.put(hits) |
| 45 | + |
| 46 | + |
| 47 | +def test_concurrent_writers_same_key_no_corruption(tmp_path): |
| 48 | + from cuda.core.utils import FileStreamProgramCache |
| 49 | + |
| 50 | + root = str(tmp_path / "fc") |
| 51 | + ctx = _mp.get_context("spawn") |
| 52 | + procs = [ |
| 53 | + ctx.Process( |
| 54 | + target=_worker_write, |
| 55 | + args=(root, b"shared", f"v{i}".encode() * 64, f"p{i}"), |
| 56 | + ) |
| 57 | + for i in range(6) |
| 58 | + ] |
| 59 | + for p in procs: |
| 60 | + p.start() |
| 61 | + for p in procs: |
| 62 | + p.join(timeout=60) |
| 63 | + assert p.exitcode == 0, f"worker exited with {p.exitcode}" |
| 64 | + |
| 65 | + with FileStreamProgramCache(root) as cache: |
| 66 | + got = cache[b"shared"] # must not raise; payload is one of the writers' |
| 67 | + assert bytes(got._module).startswith(b"v") |
| 68 | + |
| 69 | + |
| 70 | +def test_concurrent_writers_distinct_keys_all_survive(tmp_path): |
| 71 | + from cuda.core.utils import FileStreamProgramCache |
| 72 | + |
| 73 | + root = str(tmp_path / "fc") |
| 74 | + n_procs = 4 |
| 75 | + per_proc = 25 |
| 76 | + ctx = _mp.get_context("spawn") |
| 77 | + procs = [ |
| 78 | + ctx.Process(target=_worker_write_many, args=(root, base, per_proc)) |
| 79 | + for base in range(n_procs) |
| 80 | + ] |
| 81 | + for p in procs: |
| 82 | + p.start() |
| 83 | + for p in procs: |
| 84 | + p.join(timeout=60) |
| 85 | + assert p.exitcode == 0 |
| 86 | + |
| 87 | + with FileStreamProgramCache(root) as cache: |
| 88 | + for base in range(n_procs): |
| 89 | + for i in range(per_proc): |
| 90 | + key = f"proc-{base}-key-{i}".encode() |
| 91 | + assert key in cache |
| 92 | + |
| 93 | + |
| 94 | +def test_concurrent_reader_never_sees_torn_file(tmp_path): |
| 95 | + from cuda.core._module import ObjectCode |
| 96 | + from cuda.core.utils import FileStreamProgramCache |
| 97 | + |
| 98 | + root = str(tmp_path / "fc") |
| 99 | + # Seed 'k' so the reader can hit; the writer writes unrelated keys so 'k' |
| 100 | + # is never overwritten while the reader is active. |
| 101 | + with FileStreamProgramCache(root) as cache: |
| 102 | + cache[b"k"] = ObjectCode._init(b"seed" * 256, "cubin", name="seed") |
| 103 | + |
| 104 | + ctx = _mp.get_context("spawn") |
| 105 | + queue = ctx.Queue() |
| 106 | + writer = ctx.Process(target=_worker_write_many, args=(root, 99, 50)) |
| 107 | + reader = ctx.Process( |
| 108 | + target=_worker_reader, args=(root, b"k", 200, queue) |
| 109 | + ) |
| 110 | + reader.start() |
| 111 | + writer.start() |
| 112 | + writer.join(timeout=60) |
| 113 | + reader.join(timeout=60) |
| 114 | + assert writer.exitcode == 0 |
| 115 | + assert reader.exitcode == 0 |
| 116 | + hits = queue.get(timeout=5) |
| 117 | + # 'k' was never overwritten, so every read must hit. |
| 118 | + assert hits == 200 |
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