From d79495dc96cf7c6ab0d60585e232fa381549c14e Mon Sep 17 00:00:00 2001 From: Daniel Han Date: Tue, 7 Jul 2026 04:41:37 -0700 Subject: [PATCH] Add RDNA 2/3/4 ROCm routing tests via a CPU-only torch spoof (#6935) * Add RDNA 2/3/4 ROCm routing tests via a CPU-only torch spoof Introduces tests/_zoo_rocm_spoof.py, the ROCm sibling of _zoo_aggressive_cuda_spoof.py: it reuses the CUDA spoof's torch.cuda no-op machinery and overlays an AMD Radeon identity (torch.version.hip, gcnArchName, capability) for any RDNA 2/3/4 gfx target, so hip code paths run on CPU-only CI with no AMD hardware. tests/studio/install/test_rocm_rdna_routing.py then asserts unsloth_zoo routes every RDNA arch (gfx1030/1031/1032/1034, gfx1100/1101/1102, gfx1150/1151, gfx1200/1201) correctly: device_type resolves to hip, llama.cpp target resolves to (rocm, gfx), and the per-family ROCm bundle suffix (gfx103X/gfx110X/gfx120X, or self for gfx1150/1151) is picked. The torch-facing checks run in a subprocess so the spoof never leaks into sibling tests and DEVICE_TYPE (cached at import) resolves from a clean process; the pure gfx-family mapping runs in-process. Guarded by importorskip so it runs where torch and unsloth_zoo are installed (the Repo tests CPU job) and skips elsewhere. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> --- tests/_zoo_rocm_spoof.py | 84 +++++++++++++++++++ .../studio/install/test_rocm_rdna_routing.py | 84 +++++++++++++++++++ 2 files changed, 168 insertions(+) create mode 100644 tests/_zoo_rocm_spoof.py create mode 100644 tests/studio/install/test_rocm_rdna_routing.py diff --git a/tests/_zoo_rocm_spoof.py b/tests/_zoo_rocm_spoof.py new file mode 100644 index 0000000000..050191e9d1 --- /dev/null +++ b/tests/_zoo_rocm_spoof.py @@ -0,0 +1,84 @@ +# SPDX-License-Identifier: AGPL-3.0-only +# Copyright 2026-present the Unsloth AI Inc. team. +"""ROCm/RDNA spoof: present torch as an AMD Radeon (RDNA 2/3/4) card on a +GPU-less host, so hip paths (device_type -> "hip", llama.cpp ROCm bundle) are +testable in CPU-only CI with no AMD hardware. The ROCm sibling of +_zoo_aggressive_cuda_spoof.py: it reuses that spoof's torch.cuda no-op machinery +and overlays the AMD identity (torch.version.hip, gcnArchName, Radeon name). +Apply BEFORE importing unsloth/unsloth_zoo, since DEVICE_TYPE is cached there. +""" + +from __future__ import annotations + +import importlib.util +import os +import sys + +# gfx -> (marketing name, (capability major, minor), torch.version.hip). hip is +# the ROCm build torch was made against (RDNA2/3 ship 6.x; gfx1102/115x/RDNA4 7.2). +_PROFILES: dict[str, tuple[str, tuple[int, int], str]] = { + "gfx1030": ("AMD Radeon RX 6900 XT", (10, 3), "6.4.43483"), # RDNA2 + "gfx1031": ("AMD Radeon RX 6700 XT", (10, 3), "6.4.43483"), + "gfx1032": ("AMD Radeon RX 6600", (10, 3), "6.4.43483"), + "gfx1034": ("AMD Radeon RX 6400", (10, 3), "6.4.43483"), + "gfx1100": ("AMD Radeon RX 7900 XTX", (11, 0), "6.4.43483"), # RDNA3 + "gfx1101": ("AMD Radeon RX 7800 XT", (11, 0), "6.4.43483"), + "gfx1102": ("AMD Radeon RX 7600", (11, 0), "7.2.1"), + "gfx1150": ("AMD Radeon 890M", (11, 5), "7.2.1"), # RDNA3.5 APU + "gfx1151": ("AMD Radeon 8060S", (11, 5), "7.2.1"), + "gfx1200": ("AMD Radeon RX 9060 XT", (12, 0), "7.2.1"), # RDNA4 + "gfx1201": ("AMD Radeon RX 9070 XT", (12, 0), "7.2.1"), +} + + +def _cuda_spoof(): + """Load the sibling CUDA spoof by path (robust to sys.path), so we reuse its + torch.cuda machinery instead of duplicating it.""" + if "_zoo_aggressive_cuda_spoof" in sys.modules: + return sys.modules["_zoo_aggressive_cuda_spoof"] + path = os.path.join(os.path.dirname(os.path.abspath(__file__)), "_zoo_aggressive_cuda_spoof.py") + spec = importlib.util.spec_from_file_location("_zoo_aggressive_cuda_spoof", path) + mod = importlib.util.module_from_spec(spec) + spec.loader.exec_module(mod) + sys.modules["_zoo_aggressive_cuda_spoof"] = mod + return mod + + +def apply(gfx: str = "gfx1100", device_count: int = 1) -> None: + """Present torch as `gfx`. Re-callable to switch arch (identity is overlaid; + the underlying no-op machinery is applied once).""" + import torch + + if gfx not in _PROFILES: + raise KeyError(f"Unknown gfx {gfx!r}; known: {', '.join(_PROFILES)}") + name, cap, hip = _PROFILES[gfx] + + _cuda_spoof().apply() # is_available/device_count/streams/rng/amp/... + + # Overlay the AMD identity on top of the (NVIDIA-shaped) CUDA spoof. + torch.version.hip = hip + torch.version.cuda = None + torch.cuda.device_count = lambda: device_count + torch.cuda.get_device_name = lambda *a, **k: name + torch.cuda.get_device_capability = lambda *a, **k: cap + torch.cuda.get_arch_list = lambda: [gfx] + + class _Props: + pass + + _p = _Props() + _p.name = name + _p.gcnArchName = f"{gfx}:sramecc-:xnack-" # ROCm advertises feature flags + _p.major, _p.minor = cap + _p.total_memory = 16 * 1024**3 + _p.multi_processor_count = 40 + _p.warp_size = 32 # RDNA wavefront (CDNA is 64) + _p.is_integrated = gfx in ("gfx1150", "gfx1151") + _p.is_multi_gpu_board = False + torch.cuda.get_device_properties = lambda *a, **k: _p + + +if __name__ == "__main__": + apply() + import torch + print("ROCm spoof applied:", torch.version.hip, torch.cuda.get_device_properties(0).gcnArchName) diff --git a/tests/studio/install/test_rocm_rdna_routing.py b/tests/studio/install/test_rocm_rdna_routing.py new file mode 100644 index 0000000000..b4aeafb7e4 --- /dev/null +++ b/tests/studio/install/test_rocm_rdna_routing.py @@ -0,0 +1,84 @@ +# SPDX-License-Identifier: AGPL-3.0-only +# Copyright 2026-present the Unsloth AI Inc. team. +"""RDNA 2/3/4 routing, validated on CPU-only CI with no AMD hardware. + +tests/_zoo_rocm_spoof.py presents torch as each Radeon gfx arch, then we assert +unsloth_zoo routes it: device_type -> "hip", llama.cpp target -> ("rocm", gfx), +and the per-family ROCm bundle suffix. The torch-facing checks run in a +subprocess so the spoof never leaks into sibling tests and DEVICE_TYPE (cached +at import) resolves from a clean process. +""" + +from __future__ import annotations + +import json +import subprocess +import sys +from pathlib import Path + +import pytest + +pytest.importorskip("torch") +pytest.importorskip("unsloth_zoo") + +_TESTS_DIR = Path(__file__).resolve().parents[2] # tests/ + +# gfx -> (expected llama.cpp target, expected ROCm bundle family). +_ARCHES = { + "gfx1030": (("rocm", "gfx1030"), "gfx103X"), # RDNA2 + "gfx1031": (("rocm", "gfx1031"), "gfx103X"), + "gfx1032": (("rocm", "gfx1032"), "gfx103X"), + "gfx1034": (("rocm", "gfx1034"), "gfx103X"), + "gfx1100": (("rocm", "gfx1100"), "gfx110X"), # RDNA3 + "gfx1101": (("rocm", "gfx1101"), "gfx110X"), + "gfx1102": (("rocm", "gfx1102"), "gfx110X"), + "gfx1150": (("rocm", "gfx1150"), "gfx1150"), # RDNA3.5 APU (self-family) + "gfx1151": (("rocm", "gfx1151"), "gfx1151"), + "gfx1200": (("rocm", "gfx1200"), "gfx120X"), # RDNA4 + "gfx1201": (("rocm", "gfx1201"), "gfx120X"), +} + +# Child: spoof each arch, then record device_type once (fresh import) and the +# live llama.cpp target per arch. Emits one JSON line the parent parses. +_CHILD = """ +import json, sys +sys.path.insert(0, {tests!r}) +import _zoo_rocm_spoof as spoof +arches = {arches!r} +spoof.apply(arches[0]) +from unsloth_zoo.device_type import get_device_type, is_hip +device_type = [get_device_type(), is_hip()] +from unsloth_zoo import llama_cpp as lc +targets = {{}} +for gfx in arches: + spoof.apply(gfx) + targets[gfx] = list(lc._detect_gpu_target()) +print("RESULT " + json.dumps({{"device_type": device_type, "targets": targets}})) +""" + + +@pytest.fixture(scope = "module") +def routed(): + code = _CHILD.format(tests = str(_TESTS_DIR), arches = list(_ARCHES)) + proc = subprocess.run([sys.executable, "-c", code], capture_output = True, text = True) + line = next((l for l in proc.stdout.splitlines() if l.startswith("RESULT ")), None) + assert line, f"child produced no result.\nstdout:\n{proc.stdout}\nstderr:\n{proc.stderr}" + return json.loads(line[len("RESULT ") :]) + + +@pytest.mark.parametrize("gfx", list(_ARCHES)) +def test_detect_gpu_target(routed, gfx): + # RDNA card is routed to its ROCm gfx target (drives the llama.cpp bundle). + assert tuple(routed["targets"][gfx]) == _ARCHES[gfx][0] + + +def test_device_type_is_hip(routed): + # An RDNA card must resolve the compute device_type to "hip". + assert routed["device_type"] == ["hip", True] + + +@pytest.mark.parametrize("gfx", list(_ARCHES)) +def test_rocm_gfx_family(gfx): + # Pure mapping (no torch): each gfx picks the right per-family ROCm bundle. + from unsloth_zoo import llama_cpp as lc + assert lc._rocm_gfx_family(gfx) == _ARCHES[gfx][1]