Add RDNA 2/3/4 ROCm routing tests via a CPU-only torch spoof

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)

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]