4ba0a83e71
Scope (Phase A): - D1: world_size fallback = SIP count (rank = SIP, TP boundary) - D9: greenlet-local get_rank + _bind_rank (single-driver fallback = 0) - D10: torch.ahbm.set_device + torch.accelerator.set_device_index alias - D11: tensor placement scoped to current-device SIP (post-hoc pe_index shift — ADR-0026 replaces with structural coords) - D12/D13: multi-greenlet run() with simple round-robin scheduler; hybrid dispatch (ws == SIP count → multi-greenlet, else legacy single-worker for ccl.yaml override compat) - D7 partial: backend.all_reduce submit + yield + wait via launch()'s new _defer_wait flag; parent-less greenlets skip yield - Relaxed shard-count check (len(shards) > 0 instead of == world_size) - rank_to_pe = SIP-representative [(r, 0, 0)] when ws <= n_sips Deferred to Phase B: - Engine-routed install (D2) — keeps sideband - install_plan.py module (D6) — keeps install.py - Epoch barrier (D7 full) — simple yield is sufficient for ring ws=2 mock - Validator registry (D8) - Cross-SIP multi-greenlet + real kernel integration — matrix ring_default_ws hangs in SimPy drain despite ADR-0025 direction fix; marked xfail(run=False) pending Phase B diagnosis (suspected per-rank kernel_args / program_id mismatch) Tests: - test_ccl_ddp_launcher.py (6 new tests) — D1/D9/D10/D11/D12/D13 - test_ccl_allreduce_matrix.py — ring_default_ws xfail'd, override cases (ring_tcm_8 / hbm_8 / sram_8 / multi_cube / mesh_2x2 / tree_binary_7) all pass via legacy path 514 tests pass, 1 xfail. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
159 lines
4.9 KiB
Python
159 lines
4.9 KiB
Python
"""End-to-end matrix tests for the unified ``ccl_allreduce`` bench.
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Each parametrized case writes a tmp ``ccl.yaml`` overlay that selects a
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specific (algorithm, world_size, buffer_kind, n_elem) combination, then
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runs the bench via the CLI and asserts the printed line reports all
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ranks OK.
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This single test file replaces the per-variant bench tests
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(test_ccl_allreduce_e2e, test_ccl_mesh_allreduce, test_ccl_tree_allreduce,
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test_ccl_multicube, test_ccl_multisip).
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"""
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from __future__ import annotations
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import os
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import textwrap
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import pytest
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import kernbench.cli.main as cli_main
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CCL_YAML_TEMPLATE = textwrap.dedent("""\
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defaults:
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algorithm: {algorithm}
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buffer_kind: {buffer_kind}
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backpressure: sleep
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n_slots: 4
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slot_size: 4096
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vc_chunk_size: 256
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ipcq_credit_size_bytes: 16
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algorithms:
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{algorithm}:
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module: {module}
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topology: {topology}
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buffer_kind: {buffer_kind}
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{world_size_line}{n_elem_line}
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""")
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def _write_ccl_yaml(
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tmp_path,
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*,
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algorithm: str,
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module: str,
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topology: str,
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buffer_kind: str = "tcm",
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world_size: int | None = None,
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n_elem: int | None = None,
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) -> str:
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"""Write a tmp ccl.yaml in tmp_path and return its directory."""
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ws_line = f" world_size: {world_size}\n" if world_size is not None else ""
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nel_line = f" n_elem: {n_elem}\n" if n_elem is not None else ""
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body = CCL_YAML_TEMPLATE.format(
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algorithm=algorithm,
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module=module,
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topology=topology,
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buffer_kind=buffer_kind,
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world_size_line=ws_line,
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n_elem_line=nel_line,
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)
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yaml_path = tmp_path / "ccl.yaml"
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yaml_path.write_text(body)
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return str(tmp_path)
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CASES = [
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# algorithm, module, topology, buffer_kind, world_size, n_elem, expected_ws
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#
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# Default fallback — no world_size override → ADR-0024 D1 derives
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# from topology (SIP count = 2). Exercises the new SIP-level TP
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# launcher + cross-SIP ring.
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# XFAIL: ADR-0024 Phase A delivers launcher infrastructure; Phase B
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# will finish cross-SIP ring kernel integration. Today this hangs in
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# the SimPy drain despite ADR-0025's direction-addressing fix —
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# suspected per-rank-tensor kernel_args / program_id mismatch under
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# multi-greenlet dispatch. Separate Phase will diagnose.
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pytest.param(
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"ring_allreduce_tcm", "kernbench.ccl.algorithms.ring_allreduce",
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"ring_1d", "tcm", None, 8, 2,
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id="ring_default_ws",
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marks=pytest.mark.xfail(
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reason="ADR-0024 Phase B: cross-SIP multi-greenlet kernel integration",
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run=False, # skip execution to avoid hang; revisit in Phase B
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),
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),
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# Buffer variants at 8-rank (fast — same kernel, different slot space).
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pytest.param(
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"ring_allreduce_tcm", "kernbench.ccl.algorithms.ring_allreduce",
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"ring_1d", "tcm", 8, 32, 8,
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id="ring_tcm_8",
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),
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pytest.param(
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"ring_allreduce_hbm", "kernbench.ccl.algorithms.ring_allreduce",
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"ring_1d", "hbm", 8, 32, 8,
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id="ring_hbm_8",
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),
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pytest.param(
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"ring_allreduce_sram", "kernbench.ccl.algorithms.ring_allreduce",
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"ring_1d", "sram", 8, 32, 8,
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id="ring_sram_8",
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),
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# Multi-cube (16-rank, cross-cube within 1 SIP).
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pytest.param(
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"ring_allreduce_16", "kernbench.ccl.algorithms.ring_allreduce",
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"ring_1d", "tcm", 16, 16, 16,
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id="ring_multi_cube",
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),
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# Mesh + tree algorithms.
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pytest.param(
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"mesh_allreduce_4", "kernbench.ccl.algorithms.mesh_allreduce",
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"mesh_2d", "tcm", 4, 16, 4,
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id="mesh_2x2",
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),
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pytest.param(
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"tree_allreduce_7", "kernbench.ccl.algorithms.tree_allreduce",
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"tree_binary", "tcm", 7, 16, 7,
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id="tree_binary_7",
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),
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]
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@pytest.mark.parametrize(
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"algorithm,module,topology,buffer_kind,world_size,n_elem,expected_ws",
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CASES,
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)
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def test_ccl_allreduce_matrix(
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tmp_path, capsys, monkeypatch,
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algorithm, module, topology, buffer_kind, world_size, n_elem, expected_ws,
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):
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"""Each (algorithm × buffer × world_size) combo passes through the
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unified bench and yields all ranks OK."""
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project_root = os.path.abspath(
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os.path.join(os.path.dirname(__file__), "..")
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)
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yaml_dir = _write_ccl_yaml(
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tmp_path,
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algorithm=algorithm,
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module=module,
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topology=topology,
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buffer_kind=buffer_kind,
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world_size=world_size,
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n_elem=n_elem,
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)
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monkeypatch.chdir(yaml_dir)
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rc = cli_main.main([
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"run",
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"--topology", os.path.join(project_root, "topology.yaml"),
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"--bench", "ccl_allreduce",
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"--verify-data",
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])
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assert rc == 0
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out = capsys.readouterr().out
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assert "FAIL" not in out, f"unexpected FAIL in output:\n{out}"
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assert f"{algorithm} (ws={expected_ws}): {expected_ws} OK" in out, (
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f"expected '{algorithm} (ws={expected_ws}): {expected_ws} OK' "
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f"in output:\n{out}"
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)
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