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361 lines
13 KiB
Python
361 lines
13 KiB
Python
# SPDX-License-Identifier: AGPL-3.0-only
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"""Studio hardware dispatch matrix: spoofs platform/torch/mlx per PROFILES to exercise CUDA/ROCm/XPU/MLX/CPU paths without real hardware."""
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from __future__ import annotations
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import importlib
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import importlib.machinery
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import importlib.util
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import sys
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import types
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from dataclasses import dataclass, field
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from pathlib import Path
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from typing import Optional
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import pytest
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REPO_ROOT = Path(__file__).resolve().parents[2]
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STUDIO_BACKEND = REPO_ROOT / "studio" / "backend"
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@dataclass
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class HardwareProfile:
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name: str
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system: str # platform.system() value
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machine: str # platform.machine() value
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cuda_available: bool # torch.cuda.is_available() value
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hip_version: Optional[str] # torch.version.hip; None for NVIDIA, "6.1" etc. for ROCm
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xpu_available: bool # torch.xpu.is_available() value
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has_mlx: bool # whether to inject a fake mlx into sys.modules
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mps_available: bool # torch.backends.mps.is_available() value
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expect_is_mlx: bool # unsloth._IS_MLX
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expect_device_type: str # Studio DeviceType (uppercased name: "CUDA"/"XPU"/"MLX"/"CPU")
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expect_is_rocm: bool # Studio IS_ROCM
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expect_apple_silicon: bool # Studio is_apple_silicon()
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extra_notes: str = ""
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PROFILES = [
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HardwareProfile(
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name = "nvidia_cuda",
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system = "Linux",
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machine = "x86_64",
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cuda_available = True,
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hip_version = None,
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xpu_available = False,
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has_mlx = False,
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mps_available = False,
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expect_is_mlx = False,
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expect_device_type = "CUDA",
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expect_is_rocm = False,
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expect_apple_silicon = False,
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),
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HardwareProfile(
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name = "amd_rocm",
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system = "Linux",
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machine = "x86_64",
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cuda_available = True,
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hip_version = "6.1",
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xpu_available = False,
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has_mlx = False,
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mps_available = False,
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expect_is_mlx = False,
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expect_device_type = "CUDA",
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expect_is_rocm = True,
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expect_apple_silicon = False,
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extra_notes = "PyTorch ROCm reuses torch.cuda.* over HIP; "
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"Studio still uses DeviceType.CUDA but flips IS_ROCM=True.",
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),
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HardwareProfile(
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name = "intel_xpu",
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system = "Linux",
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machine = "x86_64",
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cuda_available = False,
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hip_version = None,
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xpu_available = True,
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has_mlx = False,
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mps_available = False,
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expect_is_mlx = False,
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expect_device_type = "XPU",
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expect_is_rocm = False,
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expect_apple_silicon = False,
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),
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HardwareProfile(
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name = "apple_silicon_mlx",
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system = "Darwin",
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machine = "arm64",
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cuda_available = False,
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hip_version = None,
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xpu_available = False,
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has_mlx = True,
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mps_available = True,
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expect_is_mlx = True,
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expect_device_type = "MLX",
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expect_is_rocm = False,
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expect_apple_silicon = True,
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),
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HardwareProfile(
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name = "apple_silicon_no_mlx",
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system = "Darwin",
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machine = "arm64",
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cuda_available = False,
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hip_version = None,
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xpu_available = False,
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has_mlx = False,
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mps_available = True,
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expect_is_mlx = False,
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expect_device_type = "CPU",
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expect_is_rocm = False,
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expect_apple_silicon = True,
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extra_notes = "Mac without mlx falls through to CPU (chat-only).",
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),
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HardwareProfile(
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name = "linux_arm64_with_mlx",
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system = "Linux",
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machine = "arm64",
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cuda_available = False,
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hip_version = None,
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xpu_available = False,
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has_mlx = True,
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mps_available = False,
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expect_is_mlx = False,
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expect_device_type = "CPU",
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expect_is_rocm = False,
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expect_apple_silicon = False,
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extra_notes = "Canary: Linux ARM64 with mlx package installed must NOT "
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"trigger MLX dispatch; the system check is what guards it.",
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),
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HardwareProfile(
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name = "cpu_only",
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system = "Linux",
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machine = "x86_64",
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cuda_available = False,
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hip_version = None,
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xpu_available = False,
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has_mlx = False,
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mps_available = False,
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expect_is_mlx = False,
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expect_device_type = "CPU",
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expect_is_rocm = False,
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expect_apple_silicon = False,
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),
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]
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PROFILE_IDS = [p.name for p in PROFILES]
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@pytest.fixture
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def spoof_hardware(monkeypatch):
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"""Return a function that applies a HardwareProfile to the live process; monkeypatch cleans up on exit."""
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def _apply(profile: HardwareProfile) -> None:
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import platform
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import torch
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# platform spoof (used by both the unsloth gate and Studio's helpers)
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monkeypatch.setattr(platform, "system", lambda: profile.system)
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monkeypatch.setattr(platform, "machine", lambda: profile.machine)
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monkeypatch.setattr(torch.cuda, "is_available", lambda: profile.cuda_available)
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# Stub get_device_properties: detect_hardware reads .name, which crashes on a CPU CI runner.
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if profile.cuda_available:
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stub_props = types.SimpleNamespace(
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name = "Stub GPU" if not profile.hip_version else "Stub AMD GPU",
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)
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monkeypatch.setattr(
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torch.cuda,
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"get_device_properties",
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lambda i = 0: stub_props,
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raising = False,
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)
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# torch.version.hip: None on NVIDIA, "6.1" etc. on ROCm
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torch_version = torch.version
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monkeypatch.setattr(torch_version, "hip", profile.hip_version, raising = False)
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# Stub torch.xpu.* always; real get_device_name needs the XPU torch build.
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if hasattr(torch, "xpu"):
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monkeypatch.setattr(torch.xpu, "is_available", lambda: profile.xpu_available)
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monkeypatch.setattr(
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torch.xpu,
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"get_device_name",
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lambda i = 0: "Intel XPU (stub)",
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raising = False,
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)
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elif profile.xpu_available:
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xpu_stub = types.SimpleNamespace(
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is_available = lambda: True,
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get_device_name = lambda i = 0: "Intel XPU (stub)",
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)
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monkeypatch.setattr(torch, "xpu", xpu_stub, raising = False)
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# torch.backends.mps.is_available
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if hasattr(torch.backends, "mps"):
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monkeypatch.setattr(torch.backends.mps, "is_available", lambda: profile.mps_available)
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# mlx + mlx.core in sys.modules
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if profile.has_mlx:
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fake_mlx = types.ModuleType("mlx")
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fake_mlx.__spec__ = importlib.machinery.ModuleSpec("mlx", loader = None)
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fake_mlx.__path__ = []
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fake_mlx_core = types.ModuleType("mlx.core")
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fake_mlx.core = fake_mlx_core
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monkeypatch.setitem(sys.modules, "mlx", fake_mlx)
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monkeypatch.setitem(sys.modules, "mlx.core", fake_mlx_core)
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# detect_hardware now gates MLX on the full stack via
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# utils.mlx_repair.mlx_stack_available() (it imports mlx_lm/mlx_vlm and
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# checks dist versions), which faking only mlx.core cannot satisfy. An
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# mlx profile means a complete, healthy stack, so model that here;
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# mlx_stack_available's own internals are covered by test_mlx_repair.py.
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if str(STUDIO_BACKEND) not in sys.path:
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sys.path.insert(0, str(STUDIO_BACKEND))
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import utils.mlx_repair as _mlx_repair # type: ignore
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monkeypatch.setattr(_mlx_repair, "mlx_stack_available", lambda: True)
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else:
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# Drop cached mlx and patch find_spec so the unsloth gate sees mlx as absent.
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monkeypatch.delitem(sys.modules, "mlx", raising = False)
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monkeypatch.delitem(sys.modules, "mlx.core", raising = False)
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real_find_spec = importlib.util.find_spec
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def _no_mlx(name, *args, **kwargs):
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if name == "mlx" or name.startswith("mlx."):
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return None
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return real_find_spec(name, *args, **kwargs)
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monkeypatch.setattr(importlib.util, "find_spec", _no_mlx)
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# Studio's _has_mlx() does `import mlx.core`, not find_spec; block it
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# with a meta_path finder that raises ImportError for mlx.*.
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class _BlockMLXFinder:
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def find_spec(
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self_inner,
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name,
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path = None,
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target = None,
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):
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if name == "mlx" or name.startswith("mlx."):
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raise ImportError(
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f"mlx import blocked by spoof_hardware " f"(profile={profile.name})"
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)
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return None
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blocker = _BlockMLXFinder()
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# New list so monkeypatch fully restores on teardown.
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monkeypatch.setattr(
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sys,
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"meta_path",
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[blocker, *sys.meta_path],
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)
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return _apply
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def _evaluate_unsloth_is_mlx_gate() -> bool:
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"""Re-evaluate the exact expression from unsloth/__init__.py:20-24."""
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import importlib.util
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import platform
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return (
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platform.system() == "Darwin"
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and platform.machine() == "arm64"
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and importlib.util.find_spec("mlx") is not None
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)
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def _import_studio_hardware_module():
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"""Lazy-load Studio's hardware module under the bare-imports layout."""
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if str(STUDIO_BACKEND) not in sys.path:
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sys.path.insert(0, str(STUDIO_BACKEND))
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# Fresh import so detect_hardware re-runs under the current spoofs.
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sys.modules.pop("utils.hardware.hardware", None)
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sys.modules.pop("utils.hardware", None)
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from utils.hardware import hardware as hw # type: ignore
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return hw
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@pytest.mark.parametrize("profile", PROFILES, ids = PROFILE_IDS)
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def test_unsloth_is_mlx_gate_matches_profile(profile, spoof_hardware):
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"""The _IS_MLX expression in unsloth/__init__.py flips correctly per profile."""
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spoof_hardware(profile)
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actual = _evaluate_unsloth_is_mlx_gate()
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assert actual is profile.expect_is_mlx, (
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f"profile {profile.name}: expected _IS_MLX={profile.expect_is_mlx}, "
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f"got {actual}. {profile.extra_notes}"
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)
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@pytest.mark.parametrize("profile", PROFILES, ids = PROFILE_IDS)
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def test_studio_detect_hardware_matches_profile(profile, spoof_hardware):
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"""Studio's detect_hardware() routes to the right DeviceType per profile."""
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spoof_hardware(profile)
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hw = _import_studio_hardware_module()
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detected = hw.detect_hardware()
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expected = getattr(hw.DeviceType, profile.expect_device_type)
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assert detected == expected, (
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f"profile {profile.name}: expected {profile.expect_device_type}, "
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f"got {detected!r}. {profile.extra_notes}"
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)
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assert hw.IS_ROCM is profile.expect_is_rocm, (
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f"profile {profile.name}: expected IS_ROCM={profile.expect_is_rocm}, " f"got {hw.IS_ROCM}"
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)
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@pytest.mark.parametrize("profile", PROFILES, ids = PROFILE_IDS)
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def test_studio_is_apple_silicon_matches_profile(profile, spoof_hardware):
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"""Studio's is_apple_silicon() helper agrees with platform spoof."""
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spoof_hardware(profile)
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hw = _import_studio_hardware_module()
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assert hw.is_apple_silicon() is profile.expect_apple_silicon, (
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f"profile {profile.name}: expected is_apple_silicon={profile.expect_apple_silicon}, "
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f"got {hw.is_apple_silicon()}"
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)
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# Negative-space tests: catch regressions where the dispatch order changes.
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def test_cuda_takes_priority_over_mlx_when_both_available(spoof_hardware):
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"""CUDA wins over MLX when both available: canary against GPU users being routed to MLX after refactors."""
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profile = HardwareProfile(
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name = "cuda_plus_mlx",
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system = "Darwin",
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machine = "arm64",
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cuda_available = True,
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hip_version = None,
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xpu_available = False,
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has_mlx = True,
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mps_available = True,
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expect_is_mlx = True,
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expect_device_type = "CUDA",
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expect_is_rocm = False,
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expect_apple_silicon = True,
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)
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spoof_hardware(profile)
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hw = _import_studio_hardware_module()
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assert hw.detect_hardware() == hw.DeviceType.CUDA
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def test_xpu_takes_priority_over_mlx_when_both_available(spoof_hardware):
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"""XPU is selected over MLX in the dispatch order."""
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profile = HardwareProfile(
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name = "xpu_plus_mlx",
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system = "Darwin",
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machine = "arm64",
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cuda_available = False,
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hip_version = None,
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xpu_available = True,
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has_mlx = True,
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mps_available = True,
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expect_is_mlx = True,
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expect_device_type = "XPU",
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expect_is_rocm = False,
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expect_apple_silicon = True,
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)
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spoof_hardware(profile)
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hw = _import_studio_hardware_module()
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assert hw.detect_hardware() == hw.DeviceType.XPU
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