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unslothai--unsloth/studio/backend/tests/test_amd_apu_unified_memory.py
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chore: import upstream snapshot with attribution
2026-07-13 12:59:56 +08:00

118 lines
4.7 KiB
Python

# SPDX-License-Identifier: AGPL-3.0-only
# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0
"""GGML_CUDA_ENABLE_UNIFIED_MEMORY must be set only for AMD unified-memory APUs
(gfx1150/gfx1151), never for discrete AMD, NVIDIA, CPU or macOS."""
from __future__ import annotations
import sys
import types
import pytest
from core.inference.llama_cpp import LlamaCppBackend
def _fake_torch(
hip,
archs,
*,
cuda_ok = True,
):
t = types.ModuleType("torch")
t.version = types.SimpleNamespace(hip = hip)
t.cuda = types.SimpleNamespace(
is_available = lambda: cuda_ok,
device_count = lambda: len(archs),
get_device_properties = lambda i: types.SimpleNamespace(gcnArchName = archs[i]),
)
return t
@pytest.mark.parametrize(
"hip,archs,expected",
[
("6.2.0", ["gfx1151:xnack-"], True), # Strix Halo APU (suffix stripped)
("6.2.0", ["gfx1150"], True), # Strix Point APU
("6.2.0", ["gfx1100"], False), # discrete RDNA3
("6.2.0", ["gfx1201"], False), # discrete RDNA4
("6.2.0", ["gfx942"], False), # MI300X (data center)
(None, ["sm_90"], False), # NVIDIA (no torch.version.hip)
("6.2.0", ["gfx1100", "gfx1151"], True), # mixed dGPU + APU
],
)
def test_apu_unified_memory_gating(monkeypatch, hip, archs, expected):
monkeypatch.setitem(sys.modules, "torch", _fake_torch(hip, archs))
assert LlamaCppBackend._amd_apu_wants_unified_memory() is expected
def test_apu_guard_scopes_to_selected_gpu(monkeypatch):
# Mixed host: physical id 0 = discrete gfx1100, 1 = gfx1151 APU.
for _m in ("HIP_VISIBLE_DEVICES", "ROCR_VISIBLE_DEVICES", "CUDA_VISIBLE_DEVICES"):
monkeypatch.delenv(_m, raising = False)
monkeypatch.setitem(sys.modules, "torch", _fake_torch("6.2.0", ["gfx1100", "gfx1151"]))
# Selecting only the dGPU, or an empty selection, must not be unified-memory.
assert LlamaCppBackend._amd_apu_wants_unified_memory([0]) is False
assert LlamaCppBackend._amd_apu_wants_unified_memory([]) is False
# Selecting the APU, or no selection, does.
assert LlamaCppBackend._amd_apu_wants_unified_memory([1]) is True
assert LlamaCppBackend._amd_apu_wants_unified_memory() is True
def test_apu_guard_honors_hip_visible_devices_mask(monkeypatch):
# ROCm resolves ids via HIP first: the mask exposes only the APU as ordinal 0
# but physical id 1, so the selection [1] must still match.
monkeypatch.delenv("CUDA_VISIBLE_DEVICES", raising = False)
monkeypatch.delenv("ROCR_VISIBLE_DEVICES", raising = False)
monkeypatch.setenv("HIP_VISIBLE_DEVICES", "1")
monkeypatch.setitem(sys.modules, "torch", _fake_torch("6.2.0", ["gfx1151"]))
assert LlamaCppBackend._amd_apu_wants_unified_memory([1]) is True
assert LlamaCppBackend._amd_apu_wants_unified_memory([0]) is False
def test_cpu_no_cuda_returns_false(monkeypatch):
monkeypatch.setitem(sys.modules, "torch", _fake_torch("6.2.0", [], cuda_ok = False))
assert LlamaCppBackend._amd_apu_wants_unified_memory() is False
def test_missing_torch_returns_false(monkeypatch):
monkeypatch.setitem(sys.modules, "torch", None)
assert LlamaCppBackend._amd_apu_wants_unified_memory() is False
_GB = 1024**3
_MIB_PER_GB = 1024
# Module-level (not a class attr) so it stays a plain function, not a bound method.
_shortfall = LlamaCppBackend._apu_ram_shortfall_message
class TestApuRamShortfall:
"""On a unified-memory APU the weights load into system RAM, so a model
larger than available RAM (the field case: a 64.6 GB GGUF on a WSL VM capped
well below the ROCm-reported APU budget) must be refused before spawning,
not left to OOM-kill the Studio process."""
def test_field_case_wsl_cap_refuses(self):
# 64.6 GB weights, ~46 GB available (WSL VM): refuse with guidance.
msg = _shortfall(int(64.6 * _GB), 46 * _MIB_PER_GB)
assert msg is not None
assert "65 GB" in msg and "46 GB" in msg
assert ".wslconfig" in msg
def test_bare_metal_fits_allows(self):
# Same model, ~92 GB available (no WSL cap): allow.
assert _shortfall(int(64.6 * _GB), 92 * _MIB_PER_GB) is None
def test_unknown_available_never_refuses(self):
assert _shortfall(int(64.6 * _GB), None) is None
def test_boundary_at_headroom(self):
# 20 GB weights, headroom 2 GB. avail 23 GB -> fits; 21 GB -> refuse.
assert _shortfall(20 * _GB, 23 * _MIB_PER_GB) is None
assert _shortfall(20 * _GB, 21 * _MIB_PER_GB) is not None
def test_available_system_memory_is_int_or_none(self):
v = LlamaCppBackend._available_system_memory_mib()
assert v is None or (isinstance(v, int) and v > 0)