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unsloth/tests/studio/install/test_selection_logic.py
Daniel Han 77acea751c
 Studio: prefer native cuda13 over torch's cuda12 line on Blackwell Linux hosts (#6379) 
The Linux installer ordered its CUDA runtime-line attempts purely by torch's
reported CUDA major (preferred_runtime_line), so a Blackwell host running a
cu12x torch build hoisted cuda12 ahead of an available native cuda13 bundle.
This brings the Linux selector to parity with the existing Windows Blackwell
preference: on an sm_120 host, prefer the highest CUDA-major line that ships
a bundle covering every visible host SM, then fall back to the torch line.

Selection-time only. No external pin and no source build: in-release cuda13
bundles already cover sm_120, and the per-artifact SM filter still drops any
incapable bundle (cuda12-older / cuda13-older) and prevents fall-through to a
non-Blackwell build. The override is gated on _host_is_blackwell and only
reorders lines that are already detected and driver-compatible, so it never
forces cuda13 when its runtime libraries are absent or the driver is pre-13,
and non-Blackwell hosts keep the exact torch-preference behavior.

The runtime-line ranking only considers well-formed "cuda<major>" lines and
skips any malformed or future-format value (e.g. "cuda13.1") instead of
crashing the major sort, matching how the surrounding selector already
tolerates unknown lines.

Adds focused selection tests covering the override, the incapable-cuda13
skip, the cuda13-unavailable fallback, the non-Blackwell no-op, the
malformed-runtime_line skip, and cuda14 forward-compat.
2026-06-17 22:33:47 -07:00

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"""Tests for binary selection logic in install_llama_prebuilt.py.
Covers: normalize_compute_cap, normalize_compute_caps, parse_cuda_visible_devices,
supports_explicit_visible_device_matching, select_visible_gpu_rows,
compatible_linux_runtime_lines, pick_windows_cuda_runtime,
compatible_windows_runtime_lines, runtime_line_from_cuda_version,
apply_approved_hashes, linux_cuda_choice_from_release, windows_cuda_attempts,
resolve_upstream_asset_choice.
No GPU, no network, no torch required -- all I/O is monkeypatched.
"""
import importlib.util
import os
import socket
import subprocess
import sys
import textwrap
import types
from pathlib import Path
import pytest
PACKAGE_ROOT = Path(__file__).resolve().parents[3]
MODULE_PATH = PACKAGE_ROOT / "studio" / "install_llama_prebuilt.py"
RUN_MODULE_PATH = PACKAGE_ROOT / "studio" / "backend" / "run.py"
SPEC = importlib.util.spec_from_file_location("studio_install_llama_prebuilt", MODULE_PATH)
assert SPEC is not None and SPEC.loader is not None
INSTALL_LLAMA_PREBUILT = importlib.util.module_from_spec(SPEC)
sys.modules[SPEC.name] = INSTALL_LLAMA_PREBUILT
SPEC.loader.exec_module(INSTALL_LLAMA_PREBUILT)
HostInfo = INSTALL_LLAMA_PREBUILT.HostInfo
AssetChoice = INSTALL_LLAMA_PREBUILT.AssetChoice
PublishedLlamaArtifact = INSTALL_LLAMA_PREBUILT.PublishedLlamaArtifact
PublishedReleaseBundle = INSTALL_LLAMA_PREBUILT.PublishedReleaseBundle
ApprovedArtifactHash = INSTALL_LLAMA_PREBUILT.ApprovedArtifactHash
ApprovedReleaseChecksums = INSTALL_LLAMA_PREBUILT.ApprovedReleaseChecksums
PrebuiltFallback = INSTALL_LLAMA_PREBUILT.PrebuiltFallback
LinuxCudaSelection = INSTALL_LLAMA_PREBUILT.LinuxCudaSelection
UPSTREAM_REPO = INSTALL_LLAMA_PREBUILT.UPSTREAM_REPO
normalize_compute_cap = INSTALL_LLAMA_PREBUILT.normalize_compute_cap
normalize_compute_caps = INSTALL_LLAMA_PREBUILT.normalize_compute_caps
parse_cuda_visible_devices = INSTALL_LLAMA_PREBUILT.parse_cuda_visible_devices
supports_explicit_visible_device_matching = (
INSTALL_LLAMA_PREBUILT.supports_explicit_visible_device_matching
)
select_visible_gpu_rows = INSTALL_LLAMA_PREBUILT.select_visible_gpu_rows
compatible_linux_runtime_lines = INSTALL_LLAMA_PREBUILT.compatible_linux_runtime_lines
pick_windows_cuda_runtime = INSTALL_LLAMA_PREBUILT.pick_windows_cuda_runtime
compatible_windows_runtime_lines = INSTALL_LLAMA_PREBUILT.compatible_windows_runtime_lines
runtime_line_from_cuda_version = INSTALL_LLAMA_PREBUILT.runtime_line_from_cuda_version
apply_approved_hashes = INSTALL_LLAMA_PREBUILT.apply_approved_hashes
linux_cuda_choice_from_release = INSTALL_LLAMA_PREBUILT.linux_cuda_choice_from_release
windows_cuda_attempts = INSTALL_LLAMA_PREBUILT.windows_cuda_attempts
resolve_upstream_asset_choice = INSTALL_LLAMA_PREBUILT.resolve_upstream_asset_choice
resolve_requested_install_tag = INSTALL_LLAMA_PREBUILT.resolve_requested_install_tag
resolve_install_attempts = INSTALL_LLAMA_PREBUILT.resolve_install_attempts
_fork_manifest_release_plans = INSTALL_LLAMA_PREBUILT._fork_manifest_release_plans
resolve_published_release = INSTALL_LLAMA_PREBUILT.resolve_published_release
resolve_source_build_plan = INSTALL_LLAMA_PREBUILT.resolve_source_build_plan
validated_checksums_for_bundle = INSTALL_LLAMA_PREBUILT.validated_checksums_for_bundle
parse_approved_release_checksums = INSTALL_LLAMA_PREBUILT.parse_approved_release_checksums
published_release_matches_request = INSTALL_LLAMA_PREBUILT.published_release_matches_request
exact_source_archive_logical_name = INSTALL_LLAMA_PREBUILT.exact_source_archive_logical_name
source_archive_logical_name = INSTALL_LLAMA_PREBUILT.source_archive_logical_name
windows_cuda_upstream_asset_names = INSTALL_LLAMA_PREBUILT.windows_cuda_upstream_asset_names
env_int = INSTALL_LLAMA_PREBUILT.env_int
direct_upstream_release_plan = INSTALL_LLAMA_PREBUILT.direct_upstream_release_plan
_pinned_windows_cuda_fallback = INSTALL_LLAMA_PREBUILT._pinned_windows_cuda_fallback
CudaRuntimePreference = INSTALL_LLAMA_PREBUILT.CudaRuntimePreference
published_windows_cuda_attempts = INSTALL_LLAMA_PREBUILT.published_windows_cuda_attempts
_windows_cuda_attempt_covers_blackwell = (
INSTALL_LLAMA_PREBUILT._windows_cuda_attempt_covers_blackwell
)
resolve_release_asset_choice = INSTALL_LLAMA_PREBUILT.resolve_release_asset_choice
pinned_macos_release_tag = INSTALL_LLAMA_PREBUILT.pinned_macos_release_tag
resolve_simple_install_release_plans = INSTALL_LLAMA_PREBUILT.resolve_simple_install_release_plans
def load_studio_run_module(monkeypatch):
logger = types.SimpleNamespace(
debug = lambda *a, **k: None,
info = lambda *a, **k: None,
warning = lambda *a, **k: None,
)
loggers = types.ModuleType("loggers")
loggers.get_logger = lambda name: logger
monkeypatch.setitem(sys.modules, "loggers", loggers)
startup_banner = types.ModuleType("startup_banner")
startup_banner.print_studio_access_banner = lambda **k: None
startup_banner.print_studio_stop_hint = lambda: None
monkeypatch.setitem(sys.modules, "startup_banner", startup_banner)
paths = types.ModuleType("utils.paths")
paths.__path__ = []
storage_roots = types.ModuleType("utils.paths.storage_roots")
storage_roots.studio_root = lambda: PACKAGE_ROOT / ".studio-test-root"
paths.storage_roots = storage_roots
monkeypatch.setitem(sys.modules, "utils.paths", paths)
monkeypatch.setitem(sys.modules, "utils.paths.storage_roots", storage_roots)
monkeypatch.syspath_prepend(str(RUN_MODULE_PATH.parent))
spec = importlib.util.spec_from_file_location(
"studio_backend_run_warning_test", RUN_MODULE_PATH
)
assert spec is not None and spec.loader is not None
module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(module)
return module
# ---------------------------------------------------------------------------
# Helper factories
# ---------------------------------------------------------------------------
def make_host(**overrides):
system = overrides.pop("system", "Linux")
machine = overrides.pop("machine", "x86_64")
defaults = dict(
system = system,
machine = machine,
is_linux = system == "Linux",
is_windows = system == "Windows",
is_macos = system == "Darwin",
is_x86_64 = machine.lower() in {"x86_64", "amd64"},
is_arm64 = machine.lower() in {"arm64", "aarch64"},
nvidia_smi = "/usr/bin/nvidia-smi",
driver_cuda_version = (12, 8),
compute_caps = ["86"],
visible_cuda_devices = None,
has_physical_nvidia = True,
has_usable_nvidia = True,
)
defaults.update(overrides)
return HostInfo(**defaults)
def make_artifact(asset_name, **overrides):
defaults = dict(
asset_name = asset_name,
install_kind = "linux-cuda",
runtime_line = "cuda12",
coverage_class = "targeted",
supported_sms = ["75", "80", "86", "89", "90"],
min_sm = 75,
max_sm = 90,
bundle_profile = "cuda12-newer",
rank = 100,
)
defaults.update(overrides)
return PublishedLlamaArtifact(**defaults)
def make_release(artifacts, **overrides):
defaults = dict(
repo = "unslothai/llama.cpp",
release_tag = "v1.0",
upstream_tag = "b8508",
source_repo = None,
source_repo_url = None,
source_ref_kind = None,
requested_source_ref = None,
resolved_source_ref = None,
source_commit = None,
source_commit_short = None,
assets = {a.asset_name: f"https://example.com/{a.asset_name}" for a in artifacts},
manifest_asset_name = "llama-prebuilt-manifest.json",
artifacts = artifacts,
selection_log = [],
)
defaults.update(overrides)
return PublishedReleaseBundle(**defaults)
def make_checksums(asset_names):
return ApprovedReleaseChecksums(
repo = "unslothai/llama.cpp",
release_tag = "v1.0",
upstream_tag = "b8508",
source_repo = None,
source_repo_url = None,
source_ref_kind = None,
requested_source_ref = None,
resolved_source_ref = None,
source_commit = None,
source_commit_short = None,
artifacts = {
name: ApprovedArtifactHash(
asset_name = name,
sha256 = "a" * 64,
repo = "unslothai/llama.cpp",
kind = "prebuilt",
)
for name in asset_names
},
)
def make_checksums_with_source(
asset_names,
*,
release_tag = "v1.0",
upstream_tag = "b8508",
source_repo = None,
source_repo_url = None,
source_ref_kind = None,
requested_source_ref = None,
resolved_source_ref = None,
source_commit = None,
):
artifacts = {
**{
name: ApprovedArtifactHash(
asset_name = name,
sha256 = "a" * 64,
repo = "unslothai/llama.cpp",
kind = "prebuilt",
)
for name in asset_names
},
source_archive_logical_name(upstream_tag): ApprovedArtifactHash(
asset_name = source_archive_logical_name(upstream_tag),
sha256 = "b" * 64,
repo = "ggml-org/llama.cpp",
kind = "upstream-source",
),
}
normalized_source_commit = source_commit.lower() if isinstance(source_commit, str) else None
if normalized_source_commit:
artifacts[exact_source_archive_logical_name(normalized_source_commit)] = (
ApprovedArtifactHash(
asset_name = exact_source_archive_logical_name(normalized_source_commit),
sha256 = "c" * 64,
repo = source_repo or "example/custom-llama.cpp",
kind = "exact-source",
)
)
return ApprovedReleaseChecksums(
repo = "unslothai/llama.cpp",
release_tag = release_tag,
upstream_tag = upstream_tag,
source_repo = source_repo,
source_repo_url = source_repo_url,
source_ref_kind = source_ref_kind,
requested_source_ref = requested_source_ref,
resolved_source_ref = resolved_source_ref,
source_commit = normalized_source_commit,
source_commit_short = normalized_source_commit[:7] if normalized_source_commit else None,
artifacts = artifacts,
)
def mock_linux_runtime(monkeypatch, lines):
dirs = {line: ["/usr/lib/stub"] for line in lines}
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"detected_linux_runtime_lines",
lambda: (list(lines), dict(dirs)),
)
def mock_windows_runtime(monkeypatch, lines):
dirs = {line: ["C:\\Windows\\System32"] for line in lines}
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"detected_windows_runtime_lines",
lambda: (list(lines), dict(dirs)),
)
# ===========================================================================
# Studio run.py localhost warning
# ===========================================================================
class TestStudioLocalhostIpv6Warning:
def _prepare_loopback(self, run_module, monkeypatch):
# Studio is confirmed answering on the IPv4 loopback.
monkeypatch.setattr(
run_module,
"_working_local_url",
lambda port: f"http://127.0.0.1:{port}",
)
def _set_getaddrinfo(self, monkeypatch, entries):
monkeypatch.setattr(socket, "getaddrinfo", lambda *a, **k: entries)
@staticmethod
def _ipv4(port = 8888):
return (socket.AF_INET, socket.SOCK_STREAM, 6, "", ("127.0.0.1", port))
@staticmethod
def _ipv6(port = 8888):
return (socket.AF_INET6, socket.SOCK_STREAM, 6, "", ("::1", port, 0, 0))
# -- _localhost_ipv6_mismatch_url ------------------------------------
def test_ipv4_localhost_does_not_warn(self, monkeypatch):
run_module = load_studio_run_module(monkeypatch)
self._prepare_loopback(run_module, monkeypatch)
self._set_getaddrinfo(monkeypatch, [self._ipv4()])
assert run_module._localhost_ipv6_mismatch_url("127.0.0.1", 8888) is None
def test_dual_stack_localhost_does_not_warn(self, monkeypatch):
# localhost -> both ::1 and 127.0.0.1: browsers fall back to IPv4 when
# ::1 refuses, so the URL is reachable and no warning is needed.
run_module = load_studio_run_module(monkeypatch)
self._prepare_loopback(run_module, monkeypatch)
self._set_getaddrinfo(monkeypatch, [self._ipv6(), self._ipv4()])
assert run_module._localhost_ipv6_mismatch_url("127.0.0.1", 8888) is None
def test_ipv6_only_localhost_returns_ipv4_url(self, monkeypatch, capsys):
run_module = load_studio_run_module(monkeypatch)
self._prepare_loopback(run_module, monkeypatch)
self._set_getaddrinfo(monkeypatch, [self._ipv6()])
monkeypatch.setattr(run_module, "_stdout_color_ok", lambda: False)
local_url = run_module._localhost_ipv6_mismatch_url("127.0.0.1", 8888)
assert local_url == "http://127.0.0.1:8888"
run_module._print_localhost_ipv6_mismatch_warning(local_url, 8888)
captured = capsys.readouterr()
assert "localhost resolves to IPv6 (::1)" in captured.out
assert "http://127.0.0.1:8888" in captured.out
assert "http://localhost:8888" in captured.out
def test_ipv6_listener_does_not_suppress_warning(self, monkeypatch):
# Regression for the Codex review: a process answering on ::1 is NOT
# Studio (Studio binds 127.0.0.1 only), so the warning must still fire
# -- that is exactly when http://localhost would open the wrong service.
run_module = load_studio_run_module(monkeypatch)
self._prepare_loopback(run_module, monkeypatch)
self._set_getaddrinfo(monkeypatch, [self._ipv6()])
# Even with something listening on ::1, the result is unchanged.
monkeypatch.setattr(
run_module,
"_local_port_open",
lambda host, port, timeout = 1.0: True,
)
assert run_module._localhost_ipv6_mismatch_url("127.0.0.1", 8888) == "http://127.0.0.1:8888"
@pytest.mark.parametrize("host", ["0.0.0.0", "::"])
def test_network_bind_suppresses_warning(self, monkeypatch, host):
run_module = load_studio_run_module(monkeypatch)
self._prepare_loopback(run_module, monkeypatch)
self._set_getaddrinfo(monkeypatch, [self._ipv6()])
assert run_module._localhost_ipv6_mismatch_url(host, 8888) is None
@pytest.mark.parametrize("port", [0, -1])
def test_non_positive_port_returns_none(self, monkeypatch, port):
run_module = load_studio_run_module(monkeypatch)
self._prepare_loopback(run_module, monkeypatch)
assert run_module._localhost_ipv6_mismatch_url("127.0.0.1", port) is None
def test_ipv4_not_answering_suppresses_warning(self, monkeypatch):
# Studio not confirmed on 127.0.0.1 -> do not warn.
run_module = load_studio_run_module(monkeypatch)
monkeypatch.setattr(run_module, "_working_local_url", lambda port: None)
self._set_getaddrinfo(monkeypatch, [self._ipv6()])
assert run_module._localhost_ipv6_mismatch_url("127.0.0.1", 8888) is None
def test_empty_resolver_result_suppresses_warning(self, monkeypatch):
run_module = load_studio_run_module(monkeypatch)
self._prepare_loopback(run_module, monkeypatch)
self._set_getaddrinfo(monkeypatch, [])
assert run_module._localhost_ipv6_mismatch_url("127.0.0.1", 8888) is None
def test_resolver_error_suppresses_warning(self, monkeypatch):
run_module = load_studio_run_module(monkeypatch)
self._prepare_loopback(run_module, monkeypatch)
def _raise(*_a, **_k):
raise socket.gaierror("resolver unavailable")
monkeypatch.setattr(socket, "getaddrinfo", _raise)
assert run_module._localhost_ipv6_mismatch_url("127.0.0.1", 8888) is None
# -- _emit_startup_output (banner / warning wiring) ------------------
def _wire_recorders(self, run_module, monkeypatch):
calls = {"banner": [], "warning": [], "stop_hint": 0, "reachability": []}
monkeypatch.setattr(
run_module,
"print_studio_access_banner",
lambda **kwargs: calls["banner"].append(kwargs),
)
monkeypatch.setattr(
run_module,
"_print_localhost_ipv6_mismatch_warning",
lambda local_url, port: calls["warning"].append((local_url, port)),
)
monkeypatch.setattr(
run_module,
"print_studio_stop_hint",
lambda: calls.__setitem__("stop_hint", calls["stop_hint"] + 1),
)
monkeypatch.setattr(
run_module,
"_verify_global_reachability",
lambda display_host, port: calls["reachability"].append((display_host, port)),
)
return calls
def test_emit_startup_output_wires_mismatch_warning(self, monkeypatch):
run_module = load_studio_run_module(monkeypatch)
calls = self._wire_recorders(run_module, monkeypatch)
monkeypatch.setattr(
run_module,
"_localhost_ipv6_mismatch_url",
lambda host, port: "http://127.0.0.1:8888",
)
run_module._emit_startup_output("127.0.0.1", 8888, "127.0.0.1")
assert calls["banner"][0]["include_stop_hint"] is False
assert calls["warning"] == [("http://127.0.0.1:8888", 8888)]
assert calls["stop_hint"] == 1
assert calls["reachability"] == []
def test_emit_startup_output_plain_localhost(self, monkeypatch):
run_module = load_studio_run_module(monkeypatch)
calls = self._wire_recorders(run_module, monkeypatch)
monkeypatch.setattr(run_module, "_localhost_ipv6_mismatch_url", lambda host, port: None)
run_module._emit_startup_output("127.0.0.1", 8888, "127.0.0.1")
assert calls["banner"][0]["include_stop_hint"] is True
assert calls["warning"] == []
assert calls["stop_hint"] == 0
assert calls["reachability"] == []
@pytest.mark.parametrize("host", ["0.0.0.0", "::"])
def test_emit_startup_output_wildcard_runs_reachability(self, monkeypatch, host):
run_module = load_studio_run_module(monkeypatch)
calls = self._wire_recorders(run_module, monkeypatch)
monkeypatch.setattr(run_module, "_localhost_ipv6_mismatch_url", lambda h, port: None)
run_module._emit_startup_output(host, 8888, "203.0.113.5")
assert calls["banner"][0]["include_stop_hint"] is False
assert calls["warning"] == []
assert calls["reachability"] == [("203.0.113.5", 8888)]
assert calls["stop_hint"] == 1
# ===========================================================================
# A. normalize_compute_cap
# ===========================================================================
class TestNormalizeComputeCap:
def test_dotted_86(self):
assert normalize_compute_cap("8.6") == "86"
def test_dotted_leading_zero(self):
assert normalize_compute_cap("07.05") == "75"
def test_already_normalized(self):
assert normalize_compute_cap("75") == "75"
def test_int_input(self):
assert normalize_compute_cap(86) == "86"
def test_empty_string(self):
assert normalize_compute_cap("") is None
def test_whitespace(self):
assert normalize_compute_cap(" ") is None
def test_non_numeric(self):
assert normalize_compute_cap("x.y") is None
def test_triple_part(self):
assert normalize_compute_cap("8.6.0") is None
def test_zero_minor(self):
assert normalize_compute_cap("9.0") == "90"
# ===========================================================================
# B. normalize_compute_caps
# ===========================================================================
class TestNormalizeComputeCaps:
def test_deduplication(self):
assert normalize_compute_caps(["8.6", "86", "8.6"]) == ["86"]
def test_numeric_sort(self):
assert normalize_compute_caps(["9.0", "7.5", "8.6"]) == ["75", "86", "90"]
def test_drops_invalid(self):
assert normalize_compute_caps(["8.6", "bad", "", "7.5"]) == ["75", "86"]
def test_empty_input(self):
assert normalize_compute_caps([]) == []
# ===========================================================================
# C. parse_cuda_visible_devices
# ===========================================================================
class TestParseCudaVisibleDevices:
def test_none(self):
assert parse_cuda_visible_devices(None) is None
def test_empty(self):
assert parse_cuda_visible_devices("") == []
def test_minus_one(self):
assert parse_cuda_visible_devices("-1") == []
def test_single(self):
assert parse_cuda_visible_devices("0") == ["0"]
def test_multi(self):
assert parse_cuda_visible_devices("0,1,2") == ["0", "1", "2"]
def test_whitespace_stripped(self):
assert parse_cuda_visible_devices(" 0 , 1 ") == ["0", "1"]
# ===========================================================================
# D. supports_explicit_visible_device_matching
# ===========================================================================
class TestSupportsExplicitVisibleDeviceMatching:
def test_all_digits(self):
assert supports_explicit_visible_device_matching(["0", "1", "2"]) is True
def test_gpu_prefix(self):
assert supports_explicit_visible_device_matching(["GPU-abc123"]) is True
def test_none(self):
assert supports_explicit_visible_device_matching(None) is False
def test_empty(self):
assert supports_explicit_visible_device_matching([]) is False
def test_mixed_invalid(self):
assert supports_explicit_visible_device_matching(["0", "MIG-device"]) is False
# ===========================================================================
# E. select_visible_gpu_rows
# ===========================================================================
class TestSelectVisibleGpuRows:
ROWS = [
("0", "GPU-aaa", "8.6"),
("1", "GPU-bbb", "7.5"),
("2", "GPU-ccc", "8.9"),
]
def test_none_returns_all(self):
assert select_visible_gpu_rows(self.ROWS, None) == list(self.ROWS)
def test_empty_returns_empty(self):
assert select_visible_gpu_rows(self.ROWS, []) == []
def test_filter_by_index(self):
result = select_visible_gpu_rows(self.ROWS, ["0", "2"])
assert result == [("0", "GPU-aaa", "8.6"), ("2", "GPU-ccc", "8.9")]
def test_filter_by_uuid_case_insensitive(self):
result = select_visible_gpu_rows(self.ROWS, ["gpu-bbb"])
assert result == [("1", "GPU-bbb", "7.5")]
def test_dedup_same_device(self):
result = select_visible_gpu_rows(self.ROWS, ["0", "0"])
assert result == [("0", "GPU-aaa", "8.6")]
def test_missing_token(self):
result = select_visible_gpu_rows(self.ROWS, ["99"])
assert result == []
# ===========================================================================
# F. compatible_linux_runtime_lines
# ===========================================================================
class TestCompatibleLinuxRuntimeLines:
def test_no_driver(self):
host = make_host(driver_cuda_version = None)
assert compatible_linux_runtime_lines(host) == []
def test_driver_11_8(self):
host = make_host(driver_cuda_version = (11, 8))
assert compatible_linux_runtime_lines(host) == []
def test_driver_12_4(self):
host = make_host(driver_cuda_version = (12, 4))
assert compatible_linux_runtime_lines(host) == ["cuda12"]
def test_driver_13_0(self):
host = make_host(driver_cuda_version = (13, 0))
assert compatible_linux_runtime_lines(host) == ["cuda13", "cuda12"]
def test_future_major_derives_lines(self):
# A future major (14.x) offers cuda14 first, then older majors.
host = make_host(driver_cuda_version = (14, 0))
assert compatible_linux_runtime_lines(host) == ["cuda14", "cuda13", "cuda12"]
# ===========================================================================
# G. pick_windows_cuda_runtime + compatible_windows_runtime_lines
# ===========================================================================
class TestPickWindowsCudaRuntime:
def test_no_driver(self):
host = make_host(driver_cuda_version = None)
assert pick_windows_cuda_runtime(host) is None
def test_below_threshold(self):
host = make_host(driver_cuda_version = (12, 3))
assert pick_windows_cuda_runtime(host) is None
def test_driver_12_4(self):
host = make_host(driver_cuda_version = (12, 4))
assert pick_windows_cuda_runtime(host) == "12.4"
def test_driver_13_1(self):
host = make_host(driver_cuda_version = (13, 1))
assert pick_windows_cuda_runtime(host) == "13.1"
def test_driver_13_0_uses_cuda13_line(self):
host = make_host(driver_cuda_version = (13, 0))
assert pick_windows_cuda_runtime(host) == "13.1"
class TestCompatibleWindowsRuntimeLines:
def test_no_driver(self):
host = make_host(driver_cuda_version = None)
assert compatible_windows_runtime_lines(host) == []
def test_driver_12_4(self):
host = make_host(driver_cuda_version = (12, 4))
assert compatible_windows_runtime_lines(host) == ["cuda12"]
@pytest.mark.parametrize("minor", [0, 1, 2, 3])
def test_cuda12_runs_on_any_12_x_driver(self, minor):
# cuda12 app bundles are toolkit-12.8 builds with bundled runtime; CUDA
# minor-version compatibility runs them on any 12.x driver, same as Linux.
# Previously Windows wrongly gated cuda12 below a 12.4 driver.
host = make_host(driver_cuda_version = (12, minor))
assert compatible_windows_runtime_lines(host) == ["cuda12"]
def test_driver_13_1(self):
host = make_host(driver_cuda_version = (13, 1))
assert compatible_windows_runtime_lines(host) == ["cuda13", "cuda12"]
def test_driver_13_0_uses_cuda13_line(self):
host = make_host(driver_cuda_version = (13, 0))
assert compatible_windows_runtime_lines(host) == ["cuda13", "cuda12"]
def test_future_major_derives_lines(self):
host = make_host(driver_cuda_version = (14, 0))
assert compatible_windows_runtime_lines(host) == ["cuda14", "cuda13", "cuda12"]
# ===========================================================================
# H. runtime_line_from_cuda_version
# ===========================================================================
class TestRuntimeLineFromCudaVersion:
def test_cuda_12(self):
assert runtime_line_from_cuda_version("12.6") == "cuda12"
def test_cuda_13(self):
assert runtime_line_from_cuda_version("13.0") == "cuda13"
def test_cuda_11(self):
assert runtime_line_from_cuda_version("11.8") is None
def test_none(self):
assert runtime_line_from_cuda_version(None) is None
def test_empty(self):
assert runtime_line_from_cuda_version("") is None
# ===========================================================================
# I. apply_approved_hashes
# ===========================================================================
class TestApplyApprovedHashes:
def _choice(self, name):
return AssetChoice(
repo = "test",
tag = "v1",
name = name,
url = f"https://x/{name}",
source_label = "test",
)
def test_both_approved(self):
c1, c2 = self._choice("a.tar.gz"), self._choice("b.tar.gz")
checksums = make_checksums(["a.tar.gz", "b.tar.gz"])
result = apply_approved_hashes([c1, c2], checksums)
assert len(result) == 2
assert all(c.expected_sha256 == "a" * 64 for c in result)
def test_one_approved(self):
c1, c2 = self._choice("a.tar.gz"), self._choice("missing.tar.gz")
checksums = make_checksums(["a.tar.gz"])
result = apply_approved_hashes([c1, c2], checksums)
assert len(result) == 1
assert result[0].name == "a.tar.gz"
def test_upstream_asset_can_match_compatibility_tag_name(self):
choice = AssetChoice(
repo = UPSTREAM_REPO,
tag = "main",
name = "llama-main-bin-macos-arm64.tar.gz",
url = "https://x/llama-main-bin-macos-arm64.tar.gz",
source_label = "upstream",
)
checksums = ApprovedReleaseChecksums(
repo = "unslothai/llama.cpp",
release_tag = "r1",
upstream_tag = "b9000",
artifacts = {
"llama-b9000-bin-macos-arm64.tar.gz": ApprovedArtifactHash(
asset_name = "llama-b9000-bin-macos-arm64.tar.gz",
sha256 = "a" * 64,
repo = UPSTREAM_REPO,
kind = "macos-arm64-upstream",
)
},
)
result = apply_approved_hashes([choice], checksums)
assert result[0].expected_sha256 == "a" * 64
def test_windows_cuda_legacy_choice_can_match_current_upstream_name(self):
choice = AssetChoice(
repo = UPSTREAM_REPO,
tag = "b9000",
name = "llama-b9000-bin-win-cuda-13.1-x64.zip",
url = "https://x/llama-b9000-bin-win-cuda-13.1-x64.zip",
source_label = "upstream",
)
checksums = ApprovedReleaseChecksums(
repo = "unslothai/llama.cpp",
release_tag = "r1",
upstream_tag = "b9000",
artifacts = {
"cudart-llama-bin-win-cuda-13.1-x64.zip": ApprovedArtifactHash(
asset_name = "cudart-llama-bin-win-cuda-13.1-x64.zip",
sha256 = "b" * 64,
repo = UPSTREAM_REPO,
kind = "windows-cuda-upstream",
)
},
)
result = apply_approved_hashes([choice], checksums)
assert result[0].expected_sha256 == "b" * 64
def test_windows_cuda_current_choice_can_match_legacy_compatibility_name(self):
choice = AssetChoice(
repo = UPSTREAM_REPO,
tag = "main",
name = "cudart-llama-bin-win-cuda-13.1-x64.zip",
url = "https://x/cudart-llama-bin-win-cuda-13.1-x64.zip",
source_label = "upstream",
)
checksums = ApprovedReleaseChecksums(
repo = "unslothai/llama.cpp",
release_tag = "r1",
upstream_tag = "b9000",
artifacts = {
"llama-b9000-bin-win-cuda-13.1-x64.zip": ApprovedArtifactHash(
asset_name = "llama-b9000-bin-win-cuda-13.1-x64.zip",
sha256 = "c" * 64,
repo = UPSTREAM_REPO,
kind = "windows-cuda-upstream",
)
},
)
result = apply_approved_hashes([choice], checksums)
assert result[0].expected_sha256 == "c" * 64
def test_none_approved(self):
c1 = self._choice("missing.tar.gz")
checksums = make_checksums(["other.tar.gz"])
with pytest.raises(PrebuiltFallback, match = "approved checksum"):
apply_approved_hashes([c1], checksums)
def test_empty_input(self):
checksums = make_checksums(["a.tar.gz"])
with pytest.raises(PrebuiltFallback, match = "approved checksum"):
apply_approved_hashes([], checksums)
# ===========================================================================
# J. published release resolution
# ===========================================================================
class TestPublishedReleaseResolution:
def test_latest_skips_invalid_release_and_uses_next_valid(self, monkeypatch):
invalid = make_release([], release_tag = "v2.0", upstream_tag = "b9000")
valid = make_release([], release_tag = "v1.0", upstream_tag = "b8999")
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"iter_published_release_bundles",
lambda repo, published_release_tag = "": iter([invalid, valid]),
)
def fake_load(repo, release_tag):
if release_tag == "v2.0":
raise PrebuiltFallback("checksum asset missing")
return make_checksums_with_source([], release_tag = "v1.0", upstream_tag = "b8999")
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"load_approved_release_checksums",
fake_load,
)
resolved = resolve_published_release("latest", "unslothai/llama.cpp")
assert resolved.bundle.release_tag == "v1.0"
assert resolved.bundle.upstream_tag == "b8999"
assert resolved.checksums.release_tag == "v1.0"
def test_concrete_tag_matches_manifest_upstream_tag(self, monkeypatch):
release = make_release([], release_tag = "release-b8508", upstream_tag = "b8508")
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"iter_published_release_bundles",
lambda repo, published_release_tag = "": iter([release]),
)
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"load_approved_release_checksums",
lambda repo, release_tag: make_checksums_with_source(
[],
release_tag = release_tag,
upstream_tag = "b8508",
),
)
assert resolve_requested_install_tag("b8508", "", "unslothai/llama.cpp") == "b8508"
def test_concrete_tag_without_matching_release_raises(self, monkeypatch):
release = make_release([], release_tag = "release-b9000", upstream_tag = "b9000")
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"iter_published_release_bundles",
lambda repo, published_release_tag = "": iter([release]),
)
with pytest.raises(PrebuiltFallback, match = "matched upstream tag b8508"):
resolve_requested_install_tag("b8508", "", "unslothai/llama.cpp")
def test_pinned_release_must_match_requested_upstream_tag(self, monkeypatch):
bundle = make_release([], release_tag = "llama-prebuilt-latest", upstream_tag = "b9000")
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"pinned_published_release_bundle",
lambda repo, release_tag: bundle,
)
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"load_approved_release_checksums",
lambda repo, release_tag: make_checksums_with_source(
[],
release_tag = release_tag,
upstream_tag = "b9000",
),
)
with pytest.raises(PrebuiltFallback, match = "but requested b8508"):
resolve_requested_install_tag(
"b8508",
"llama-prebuilt-latest",
"unslothai/llama.cpp",
)
def test_request_matches_requested_source_ref(self, monkeypatch):
release = make_release(
[],
release_tag = "release-main",
upstream_tag = "b9000",
requested_source_ref = "main",
resolved_source_ref = "refs/heads/main",
)
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"iter_published_release_bundles",
lambda repo, published_release_tag = "": iter([release]),
)
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"load_approved_release_checksums",
lambda repo, release_tag: make_checksums_with_source(
[],
release_tag = release_tag,
upstream_tag = "b9000",
requested_source_ref = "main",
resolved_source_ref = "refs/heads/main",
),
)
resolved = resolve_published_release("main", "unslothai/llama.cpp")
assert resolved.bundle.release_tag == "release-main"
def test_request_matches_source_commit(self, monkeypatch):
commit = "a" * 40
release = make_release(
[],
release_tag = "release-commit",
upstream_tag = "b9000",
source_commit = commit,
)
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"iter_published_release_bundles",
lambda repo, published_release_tag = "": iter([release]),
)
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"load_approved_release_checksums",
lambda repo, release_tag: make_checksums_with_source(
[],
release_tag = release_tag,
upstream_tag = "b9000",
source_repo = "example/custom-llama.cpp",
source_commit = commit,
),
)
resolved = resolve_published_release(commit, "unslothai/llama.cpp")
assert resolved.bundle.release_tag == "release-commit"
class TestSourceBuildPlanResolution:
def test_matches_request_by_non_tag_provenance(self):
bundle = make_release(
[],
requested_source_ref = "main",
resolved_source_ref = "refs/heads/main",
source_commit = "a" * 40,
)
assert published_release_matches_request(bundle, "main") is True
assert published_release_matches_request(bundle, "refs/heads/main") is True
assert published_release_matches_request(bundle, "a" * 12) is True
assert published_release_matches_request(bundle, "a" * 40) is True
def test_matches_pull_ref_aliases(self):
bundle = make_release(
[],
requested_source_ref = "refs/pull/123/head",
resolved_source_ref = "pull/123/head",
)
assert published_release_matches_request(bundle, "refs/pull/123/head") is True
assert published_release_matches_request(bundle, "pull/123/head") is True
def test_prefers_exact_source_commit_when_available(self, monkeypatch):
commit = "a" * 40
resolved = INSTALL_LLAMA_PREBUILT.ResolvedPublishedRelease(
bundle = make_release(
[],
release_tag = "release-main",
upstream_tag = "b9000",
source_repo = "example/custom-llama.cpp",
source_repo_url = "https://github.com/example/custom-llama.cpp",
source_ref_kind = "branch",
requested_source_ref = "main",
resolved_source_ref = "refs/heads/main",
source_commit = commit,
),
checksums = make_checksums_with_source(
[],
release_tag = "release-main",
upstream_tag = "b9000",
source_repo = "example/custom-llama.cpp",
source_repo_url = "https://github.com/example/custom-llama.cpp",
source_ref_kind = "branch",
requested_source_ref = "main",
resolved_source_ref = "refs/heads/main",
source_commit = commit,
),
)
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"resolve_published_release",
lambda requested_tag, published_repo, published_release_tag = "": resolved,
)
plan = resolve_source_build_plan("main", "unslothai/llama.cpp")
assert plan.source_url == "https://github.com/example/custom-llama.cpp"
assert plan.source_ref_kind == "commit"
assert plan.source_ref == commit
assert plan.compatibility_upstream_tag == "b9000"
def test_uses_branch_provenance_without_exact_source_hash(self, monkeypatch):
resolved = INSTALL_LLAMA_PREBUILT.ResolvedPublishedRelease(
bundle = make_release(
[],
release_tag = "release-main",
upstream_tag = "b9000",
source_repo = "example/custom-llama.cpp",
source_repo_url = "https://github.com/example/custom-llama.cpp",
source_ref_kind = "branch",
requested_source_ref = "main",
resolved_source_ref = "main",
),
checksums = make_checksums_with_source(
[],
release_tag = "release-main",
upstream_tag = "b9000",
source_repo = "example/custom-llama.cpp",
source_repo_url = "https://github.com/example/custom-llama.cpp",
source_ref_kind = "branch",
requested_source_ref = "main",
resolved_source_ref = "main",
source_commit = None,
),
)
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"resolve_published_release",
lambda requested_tag, published_repo, published_release_tag = "": resolved,
)
plan = resolve_source_build_plan("main", "unslothai/llama.cpp")
assert plan.source_url == "https://github.com/example/custom-llama.cpp"
assert plan.source_ref_kind == "branch"
assert plan.source_ref == "main"
assert plan.compatibility_upstream_tag == "b9000"
def test_direct_main_request_without_published_release_uses_branch_kind(self, monkeypatch):
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"resolve_published_release",
lambda requested_tag, published_repo, published_release_tag = "": (_ for _ in ()).throw(
PrebuiltFallback("missing")
),
)
plan = resolve_source_build_plan("main", "unslothai/llama.cpp")
assert plan.source_url == "https://github.com/ggml-org/llama.cpp"
assert plan.source_ref_kind == "branch"
assert plan.source_ref == "main"
class TestParseApprovedReleaseChecksums:
def test_rejects_wrong_component(self):
with pytest.raises(RuntimeError, match = "did not describe llama.cpp"):
parse_approved_release_checksums(
"repo/test",
"r1",
{
"schema_version": 1,
"component": "other",
"release_tag": "r1",
"upstream_tag": "b8508",
"artifacts": {},
},
)
def test_rejects_mismatched_release_tag(self):
with pytest.raises(RuntimeError, match = "did not match pinned release tag"):
parse_approved_release_checksums(
"repo/test",
"r1",
{
"schema_version": 1,
"component": "llama.cpp",
"release_tag": "r2",
"upstream_tag": "b8508",
"artifacts": {},
},
)
def test_rejects_bad_sha256(self):
with pytest.raises(RuntimeError, match = "valid sha256"):
parse_approved_release_checksums(
"repo/test",
"r1",
{
"schema_version": 1,
"component": "llama.cpp",
"release_tag": "r1",
"upstream_tag": "b8508",
"artifacts": {
"asset.tar.gz": {
"sha256": "bad-digest",
}
},
},
)
def test_rejects_unsupported_schema_version(self):
with pytest.raises(RuntimeError, match = "schema_version=2 is unsupported"):
parse_approved_release_checksums(
"repo/test",
"r1",
{
"schema_version": 2,
"component": "llama.cpp",
"release_tag": "r1",
"upstream_tag": "b8508",
"artifacts": {},
},
)
class TestValidatedChecksumsForBundle:
def test_rejects_manifest_checksum_mismatch(self, monkeypatch):
bundle = make_release([], release_tag = "r1", upstream_tag = "b8508")
bundle.manifest_sha256 = "a" * 64
checksums = make_checksums_with_source([], release_tag = "r1", upstream_tag = "b8508")
checksums.artifacts[bundle.manifest_asset_name] = ApprovedArtifactHash(
asset_name = bundle.manifest_asset_name,
sha256 = "b" * 64,
repo = "unslothai/llama.cpp",
kind = "published-manifest",
)
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"load_approved_release_checksums",
lambda repo, release_tag: checksums,
)
with pytest.raises(PrebuiltFallback, match = "manifest checksum"):
validated_checksums_for_bundle("unslothai/llama.cpp", bundle)
def test_rejects_exact_source_without_repo(self, monkeypatch):
# An exact source archive with no source repo to clone from would let
# preferred_source_archive silently fall back to upstream source at the
# tag, so validation must fail closed (clean source build instead).
bundle = make_release([], release_tag = "r1", upstream_tag = "b8508")
checksums = make_checksums_with_source(
[], release_tag = "r1", upstream_tag = "b8508", source_commit = "a" * 40
) # exact source archive, but no source_repo
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"load_approved_release_checksums",
lambda repo, release_tag: checksums,
)
with pytest.raises(PrebuiltFallback, match = "exact source archive"):
validated_checksums_for_bundle("unslothai/llama.cpp", bundle)
def test_accepts_exact_source_when_only_bundle_has_repo(self, monkeypatch):
# The source repo can live only in the manifest bundle, not the checksum
# payload. source_build_plan_for_release coalesces checksums-or-bundle, so
# validation must accept the bundle's repo rather than failing closed.
bundle = make_release(
[],
release_tag = "r1",
upstream_tag = "b8508",
source_repo = "ggml-org/llama.cpp",
source_repo_url = "https://github.com/ggml-org/llama.cpp",
)
checksums = make_checksums_with_source(
[], release_tag = "r1", upstream_tag = "b8508", source_commit = "a" * 40
) # exact source archive, repo only on the bundle
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"load_approved_release_checksums",
lambda repo, release_tag: checksums,
)
assert validated_checksums_for_bundle("unslothai/llama.cpp", bundle) is checksums
plan = INSTALL_LLAMA_PREBUILT.source_build_plan_for_release(
INSTALL_LLAMA_PREBUILT.ResolvedPublishedRelease(bundle = bundle, checksums = checksums)
)
assert plan.source_url == "https://github.com/ggml-org/llama.cpp"
assert plan.source_ref_kind == "commit"
assert plan.source_ref == "a" * 40
# ===========================================================================
# K. linux_cuda_choice_from_release -- core selection
# ===========================================================================
class TestLinuxCudaChoiceFromRelease:
# --- Runtime line resolution ---
def test_no_runtime_lines_detected(self, monkeypatch):
mock_linux_runtime(monkeypatch, [])
host = make_host(driver_cuda_version = (12, 8))
art = make_artifact("bundle-cuda12.tar.gz")
release = make_release([art])
assert linux_cuda_choice_from_release(host, release) is None
def test_detected_lines_incompatible_with_driver(self, monkeypatch):
mock_linux_runtime(monkeypatch, ["cuda13"])
host = make_host(driver_cuda_version = (12, 4))
art = make_artifact("bundle-cuda13.tar.gz", runtime_line = "cuda13")
release = make_release([art])
assert linux_cuda_choice_from_release(host, release) is None
def test_driver_13_only_cuda12_detected(self, monkeypatch):
mock_linux_runtime(monkeypatch, ["cuda12"])
host = make_host(driver_cuda_version = (13, 0))
art = make_artifact("bundle-cuda12.tar.gz", runtime_line = "cuda12")
release = make_release([art])
result = linux_cuda_choice_from_release(host, release)
assert result is not None
assert result.primary.runtime_line == "cuda12"
def test_preferred_runtime_line_reorders(self, monkeypatch):
mock_linux_runtime(monkeypatch, ["cuda13", "cuda12"])
host = make_host(driver_cuda_version = (13, 0))
art12 = make_artifact("bundle-cuda12.tar.gz", runtime_line = "cuda12")
art13 = make_artifact("bundle-cuda13.tar.gz", runtime_line = "cuda13")
release = make_release([art12, art13])
result = linux_cuda_choice_from_release(host, release, preferred_runtime_line = "cuda12")
assert result is not None
assert result.primary.runtime_line == "cuda12"
def test_preferred_runtime_line_unavailable(self, monkeypatch):
mock_linux_runtime(monkeypatch, ["cuda12"])
host = make_host(driver_cuda_version = (12, 8))
art = make_artifact("bundle-cuda12.tar.gz", runtime_line = "cuda12")
release = make_release([art])
result = linux_cuda_choice_from_release(host, release, preferred_runtime_line = "cuda13")
assert result is not None
assert result.primary.runtime_line == "cuda12"
log_entries = result.selection_log
assert any("unavailable_on_host" in entry for entry in log_entries)
def test_blackwell_prefers_cuda13_over_torch_cuda12(self, monkeypatch):
# Blackwell host with both lines sm_120-capable: cuda13 wins over torch's cuda12.
mock_linux_runtime(monkeypatch, ["cuda13", "cuda12"])
host = make_host(driver_cuda_version = (13, 0), compute_caps = ["120"])
art12 = make_artifact(
"bundle-cuda12-newer.tar.gz",
runtime_line = "cuda12",
supported_sms = ["86", "120"],
min_sm = 86,
max_sm = 120,
)
art13 = make_artifact(
"bundle-cuda13-newer.tar.gz",
runtime_line = "cuda13",
supported_sms = ["86", "120"],
min_sm = 86,
max_sm = 120,
)
release = make_release([art12, art13])
result = linux_cuda_choice_from_release(host, release, preferred_runtime_line = "cuda12")
assert result is not None
assert result.primary.runtime_line == "cuda13"
assert any("blackwell_runtime_override" in entry for entry in result.selection_log)
def test_blackwell_skips_incapable_cuda13_line(self, monkeypatch):
# cuda13 line cannot cover sm_120 (only an -older bundle): stay on native cuda12.
mock_linux_runtime(monkeypatch, ["cuda13", "cuda12"])
host = make_host(driver_cuda_version = (13, 0), compute_caps = ["120"])
art13_older = make_artifact(
"bundle-cuda13-older.tar.gz",
runtime_line = "cuda13",
supported_sms = ["75", "86", "89"],
min_sm = 75,
max_sm = 89,
)
art12_newer = make_artifact(
"bundle-cuda12-newer.tar.gz",
runtime_line = "cuda12",
supported_sms = ["86", "120"],
min_sm = 86,
max_sm = 120,
)
release = make_release([art13_older, art12_newer])
result = linux_cuda_choice_from_release(host, release, preferred_runtime_line = "cuda12")
assert result is not None
assert result.primary.runtime_line == "cuda12"
assert result.primary.name == "bundle-cuda12-newer.tar.gz"
def test_blackwell_cuda13_unavailable_uses_cuda12(self, monkeypatch):
# cuda13 runtime libs absent: override never forces an undetected line.
mock_linux_runtime(monkeypatch, ["cuda12"])
host = make_host(driver_cuda_version = (13, 0), compute_caps = ["120"])
art12 = make_artifact(
"bundle-cuda12-newer.tar.gz",
runtime_line = "cuda12",
supported_sms = ["86", "120"],
min_sm = 86,
max_sm = 120,
)
release = make_release([art12])
result = linux_cuda_choice_from_release(host, release, preferred_runtime_line = "cuda12")
assert result is not None
assert result.primary.runtime_line == "cuda12"
def test_non_blackwell_keeps_torch_preference(self, monkeypatch):
# Non-Blackwell host: torch preference is untouched, no override.
mock_linux_runtime(monkeypatch, ["cuda13", "cuda12"])
host = make_host(driver_cuda_version = (13, 0), compute_caps = ["86"])
art12 = make_artifact(
"bundle-cuda12.tar.gz",
runtime_line = "cuda12",
supported_sms = ["86"],
min_sm = 86,
max_sm = 86,
)
art13 = make_artifact(
"bundle-cuda13.tar.gz",
runtime_line = "cuda13",
supported_sms = ["86"],
min_sm = 86,
max_sm = 86,
)
release = make_release([art12, art13])
result = linux_cuda_choice_from_release(host, release, preferred_runtime_line = "cuda12")
assert result is not None
assert result.primary.runtime_line == "cuda12"
assert not any("blackwell_runtime_override" in entry for entry in result.selection_log)
def test_blackwell_ignores_malformed_runtime_line(self, monkeypatch):
# A malformed/future-format runtime_line must be skipped, never crash the major sort.
mock_linux_runtime(monkeypatch, ["cuda13", "cuda12"])
host = make_host(driver_cuda_version = (13, 0), compute_caps = ["120"])
bad = make_artifact(
"bundle-cudaX.tar.gz",
runtime_line = "cudaX",
supported_sms = ["86", "120"],
min_sm = 86,
max_sm = 120,
)
art13 = make_artifact(
"bundle-cuda13-newer.tar.gz",
runtime_line = "cuda13",
supported_sms = ["86", "120"],
min_sm = 86,
max_sm = 120,
)
release = make_release([bad, art13])
result = linux_cuda_choice_from_release(host, release, preferred_runtime_line = "cuda12")
assert result is not None
assert result.primary.runtime_line == "cuda13"
def test_blackwell_prefers_cuda14_over_lower_majors(self, monkeypatch):
# Forward-compat: the highest sm_120-capable CUDA major wins.
mock_linux_runtime(monkeypatch, ["cuda14", "cuda13", "cuda12"])
host = make_host(driver_cuda_version = (14, 0), compute_caps = ["120"])
arts = [
make_artifact(
f"bundle-{rtl}.tar.gz",
runtime_line = rtl,
supported_sms = ["86", "120"],
min_sm = 86,
max_sm = 120,
)
for rtl in ("cuda12", "cuda13", "cuda14")
]
release = make_release(arts)
result = linux_cuda_choice_from_release(host, release, preferred_runtime_line = "cuda12")
assert result is not None
assert result.primary.runtime_line == "cuda14"
def test_arm64_host_selects_linux_arm64_cuda_kind(self, monkeypatch):
# An arm64 CUDA host (DGX Spark / Grace Hopper) selects the
# linux-arm64-cuda bundle and ignores the x64 linux-cuda one.
mock_linux_runtime(monkeypatch, ["cuda13"])
host = make_host(
machine = "aarch64",
driver_cuda_version = (13, 0),
compute_caps = ["90"],
)
arm = make_artifact(
"app-b9457-linux-arm64-cuda13-portable.tar.gz",
install_kind = "linux-arm64-cuda",
runtime_line = "cuda13",
coverage_class = "portable",
supported_sms = ["90", "100", "120", "121"],
min_sm = 90,
max_sm = 121,
bundle_profile = "cuda13-portable",
)
x64 = make_artifact(
"app-b9457-linux-x64-cuda13-portable.tar.gz",
install_kind = "linux-cuda",
runtime_line = "cuda13",
)
release = make_release([arm, x64])
result = linux_cuda_choice_from_release(host, release)
assert result is not None
assert result.primary.install_kind == "linux-arm64-cuda"
assert result.primary.name == "app-b9457-linux-arm64-cuda13-portable.tar.gz"
# --- SM matching ---
def test_exact_sm_match(self, monkeypatch):
mock_linux_runtime(monkeypatch, ["cuda12"])
host = make_host(compute_caps = ["86"])
art = make_artifact("bundle.tar.gz", supported_sms = ["75", "86", "89"], min_sm = 75, max_sm = 89)
release = make_release([art])
result = linux_cuda_choice_from_release(host, release)
assert result is not None
assert result.primary.name == "bundle.tar.gz"
def test_sm_not_in_supported_sms(self, monkeypatch):
mock_linux_runtime(monkeypatch, ["cuda12"])
host = make_host(compute_caps = ["86"])
art = make_artifact("bundle.tar.gz", supported_sms = ["75", "80", "89"], min_sm = 75, max_sm = 89)
release = make_release([art])
result = linux_cuda_choice_from_release(host, release)
assert result is None
def test_sm_outside_min_range(self, monkeypatch):
mock_linux_runtime(monkeypatch, ["cuda12"])
host = make_host(compute_caps = ["50"])
art = make_artifact("bundle.tar.gz", supported_sms = ["50", "75", "86"], min_sm = 75, max_sm = 90)
release = make_release([art])
result = linux_cuda_choice_from_release(host, release)
assert result is None
def test_sm_outside_max_range(self, monkeypatch):
mock_linux_runtime(monkeypatch, ["cuda12"])
host = make_host(compute_caps = ["100"])
art = make_artifact(
"bundle.tar.gz", supported_sms = ["100", "75", "86"], min_sm = 75, max_sm = 90
)
release = make_release([art])
result = linux_cuda_choice_from_release(host, release)
assert result is None
def test_very_old_sm(self, monkeypatch):
mock_linux_runtime(monkeypatch, ["cuda12"])
host = make_host(compute_caps = ["50"])
art = make_artifact("bundle.tar.gz", min_sm = 75, max_sm = 90)
release = make_release([art])
result = linux_cuda_choice_from_release(host, release)
assert result is None
def test_very_new_sm(self, monkeypatch):
mock_linux_runtime(monkeypatch, ["cuda12"])
host = make_host(compute_caps = ["100"])
art = make_artifact("bundle.tar.gz", min_sm = 75, max_sm = 90)
release = make_release([art])
result = linux_cuda_choice_from_release(host, release)
assert result is None
# --- Unknown compute caps (empty list) ---
def test_unknown_caps_only_portable(self, monkeypatch):
mock_linux_runtime(monkeypatch, ["cuda12"])
host = make_host(compute_caps = [])
targeted = make_artifact("targeted.tar.gz", coverage_class = "targeted")
portable = make_artifact("portable.tar.gz", coverage_class = "portable")
release = make_release([targeted, portable])
result = linux_cuda_choice_from_release(host, release)
assert result is not None
assert result.primary.name == "portable.tar.gz"
def test_unknown_caps_no_portable(self, monkeypatch):
mock_linux_runtime(monkeypatch, ["cuda12"])
host = make_host(compute_caps = [])
targeted = make_artifact("targeted.tar.gz", coverage_class = "targeted")
release = make_release([targeted])
result = linux_cuda_choice_from_release(host, release)
assert result is None
# --- Multi-GPU ---
def test_multi_gpu_all_covered(self, monkeypatch):
mock_linux_runtime(monkeypatch, ["cuda12"])
host = make_host(compute_caps = ["75", "89"])
art = make_artifact(
"bundle.tar.gz",
supported_sms = ["75", "80", "86", "89", "90"],
min_sm = 75,
max_sm = 90,
)
release = make_release([art])
result = linux_cuda_choice_from_release(host, release)
assert result is not None
def test_multi_gpu_not_all_covered(self, monkeypatch):
mock_linux_runtime(monkeypatch, ["cuda12"])
host = make_host(compute_caps = ["50", "89"])
art = make_artifact("bundle.tar.gz", supported_sms = ["75", "89"], min_sm = 75, max_sm = 89)
release = make_release([art])
result = linux_cuda_choice_from_release(host, release)
assert result is None
# --- Artifact selection priority ---
def test_narrowest_sm_range_wins(self, monkeypatch):
mock_linux_runtime(monkeypatch, ["cuda12"])
host = make_host(compute_caps = ["86"])
wide = make_artifact(
"wide.tar.gz",
supported_sms = ["75", "86", "90"],
min_sm = 75,
max_sm = 90,
rank = 100,
)
narrow = make_artifact(
"narrow.tar.gz",
supported_sms = ["80", "86", "89"],
min_sm = 80,
max_sm = 89,
rank = 100,
)
release = make_release([wide, narrow])
result = linux_cuda_choice_from_release(host, release)
assert result is not None
assert result.primary.name == "narrow.tar.gz"
def test_range_tie_lower_rank_wins(self, monkeypatch):
mock_linux_runtime(monkeypatch, ["cuda12"])
host = make_host(compute_caps = ["86"])
high = make_artifact(
"high.tar.gz",
supported_sms = ["75", "86", "90"],
min_sm = 75,
max_sm = 90,
rank = 200,
)
low = make_artifact(
"low.tar.gz",
supported_sms = ["75", "86", "90"],
min_sm = 75,
max_sm = 90,
rank = 50,
)
release = make_release([high, low])
result = linux_cuda_choice_from_release(host, release)
assert result is not None
assert result.primary.name == "low.tar.gz"
def test_targeted_preferred_portable_fallback(self, monkeypatch):
mock_linux_runtime(monkeypatch, ["cuda12"])
host = make_host(compute_caps = ["86"])
targeted = make_artifact("targeted.tar.gz", coverage_class = "targeted", rank = 100)
portable = make_artifact("portable.tar.gz", coverage_class = "portable", rank = 100)
release = make_release([targeted, portable])
result = linux_cuda_choice_from_release(host, release)
assert result is not None
assert result.primary.name == "targeted.tar.gz"
assert len(result.attempts) == 2
assert result.attempts[1].name == "portable.tar.gz"
# --- Edge cases ---
def test_asset_missing_from_release_assets(self, monkeypatch):
mock_linux_runtime(monkeypatch, ["cuda12"])
host = make_host(compute_caps = ["86"])
art = make_artifact("bundle.tar.gz")
release = make_release([art], assets = {})
result = linux_cuda_choice_from_release(host, release)
assert result is None
def test_artifact_empty_supported_sms(self, monkeypatch):
mock_linux_runtime(monkeypatch, ["cuda12"])
host = make_host(compute_caps = ["86"])
art = make_artifact("bundle.tar.gz", supported_sms = [])
release = make_release([art])
result = linux_cuda_choice_from_release(host, release)
assert result is None
def test_artifact_missing_min_sm(self, monkeypatch):
mock_linux_runtime(monkeypatch, ["cuda12"])
host = make_host(compute_caps = ["86"])
art = make_artifact("bundle.tar.gz", min_sm = None, max_sm = 90)
release = make_release([art])
result = linux_cuda_choice_from_release(host, release)
assert result is None
def test_artifact_missing_max_sm(self, monkeypatch):
mock_linux_runtime(monkeypatch, ["cuda12"])
host = make_host(compute_caps = ["86"])
art = make_artifact("bundle.tar.gz", min_sm = 75, max_sm = None)
release = make_release([art])
result = linux_cuda_choice_from_release(host, release)
assert result is None
def test_no_linux_cuda_artifacts(self, monkeypatch):
mock_linux_runtime(monkeypatch, ["cuda12"])
host = make_host(compute_caps = ["86"])
art = make_artifact("bundle.tar.gz", install_kind = "windows-cuda")
release = make_release([art])
result = linux_cuda_choice_from_release(host, release)
assert result is None
def test_empty_artifacts_list(self, monkeypatch):
mock_linux_runtime(monkeypatch, ["cuda12"])
host = make_host(compute_caps = ["86"])
release = make_release([])
result = linux_cuda_choice_from_release(host, release)
assert result is None
# ===========================================================================
# L. resolve_install_attempts
# ===========================================================================
class TestResolveInstallAttempts:
def test_windows_cuda_prefers_published_asset_from_selected_release(self, monkeypatch):
host = make_host(system = "Windows", machine = "AMD64")
host.driver_cuda_version = (12, 4)
mock_windows_runtime(monkeypatch, ["cuda12"])
asset_name = "llama-b9000-bin-win-cuda-12.4-x64.zip"
release = make_release(
[
make_artifact(
asset_name,
install_kind = "windows-cuda",
runtime_line = "cuda12",
coverage_class = None,
supported_sms = [],
min_sm = None,
max_sm = None,
bundle_profile = None,
)
],
release_tag = "llama-prebuilt-latest",
upstream_tag = "b9000",
assets = {asset_name: f"https://published.example/{asset_name}"},
)
checksums = make_checksums_with_source(
[asset_name],
release_tag = release.release_tag,
upstream_tag = "b9000",
)
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"iter_resolved_published_releases",
lambda requested_tag, published_repo, published_release_tag = "": iter(
[
INSTALL_LLAMA_PREBUILT.ResolvedPublishedRelease(
bundle = release,
checksums = checksums,
)
]
),
)
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"github_release_assets",
lambda repo, tag: (_ for _ in ()).throw(
AssertionError("published Windows CUDA choice should not query upstream")
),
)
requested_tag, resolved_tag, attempts, approved = resolve_install_attempts(
"latest",
host,
"unslothai/llama.cpp",
"",
)
assert requested_tag == "latest"
assert resolved_tag == "b9000"
assert attempts[0].name == asset_name
assert attempts[0].source_label == "published"
assert attempts[0].expected_sha256 == "a" * 64
assert approved.release_tag == "llama-prebuilt-latest"
def test_windows_cuda_uses_selected_release_upstream_tag(self, monkeypatch):
host = make_host(system = "Windows", machine = "AMD64")
host.driver_cuda_version = (12, 4)
mock_windows_runtime(monkeypatch, ["cuda12"])
release = make_release([], release_tag = "llama-prebuilt-latest", upstream_tag = "b9000")
checksums = make_checksums_with_source(
["llama-b9000-bin-win-cuda-12.4-x64.zip"],
release_tag = release.release_tag,
upstream_tag = "b9000",
)
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"iter_resolved_published_releases",
lambda requested_tag, published_repo, published_release_tag = "": iter(
[
INSTALL_LLAMA_PREBUILT.ResolvedPublishedRelease(
bundle = release,
checksums = checksums,
)
]
),
)
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"github_release_assets",
lambda repo, tag: {
f"llama-{tag}-bin-win-cuda-12.4-x64.zip": f"https://example.com/llama-{tag}-bin-win-cuda-12.4-x64.zip"
},
)
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"resolve_windows_cuda_choices",
lambda host, tag, assets: [
AssetChoice(
repo = UPSTREAM_REPO,
tag = tag,
name = f"llama-{tag}-bin-win-cuda-12.4-x64.zip",
url = assets[f"llama-{tag}-bin-win-cuda-12.4-x64.zip"],
source_label = "upstream",
install_kind = "windows-cuda",
runtime_line = "cuda12",
)
],
)
requested_tag, resolved_tag, attempts, approved = resolve_install_attempts(
"latest",
host,
"unslothai/llama.cpp",
"",
)
assert requested_tag == "latest"
assert resolved_tag == "b9000"
assert attempts[0].name == "llama-b9000-bin-win-cuda-12.4-x64.zip"
assert attempts[0].expected_sha256 == "a" * 64
assert approved.release_tag == "llama-prebuilt-latest"
def test_linux_cpu_fork_without_bundle_raises_no_upstream_fallback(self, monkeypatch):
# A CPU-only Linux host on the fork no longer falls back to the ggml-org
# CPU asset: production routes CPU-only Linux to ggml-org, never the fork.
# With no fork CPU bundle in the manifest the resolver raises rather than
# quietly reaching for an upstream asset.
host = make_host(
has_usable_nvidia = False,
has_physical_nvidia = False,
nvidia_smi = None,
)
release = make_release([], release_tag = "llama-prebuilt-latest", upstream_tag = "b9000")
checksums = make_checksums_with_source(
[],
release_tag = release.release_tag,
upstream_tag = "b9000",
)
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"iter_resolved_published_releases",
lambda requested_tag, published_repo, published_release_tag = "": iter(
[
INSTALL_LLAMA_PREBUILT.ResolvedPublishedRelease(
bundle = release,
checksums = checksums,
)
]
),
)
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"github_release_assets",
lambda repo, tag: (_ for _ in ()).throw(
AssertionError("fork CPU host must not query upstream assets")
),
)
with pytest.raises(PrebuiltFallback, match = "no compatible Linux prebuilt asset was found"):
resolve_install_attempts("latest", host, "unslothai/llama.cpp", "")
def test_linux_cuda_does_not_fall_back_to_upstream_cpu(self, monkeypatch):
host = make_host(system = "Linux", machine = "x86_64", compute_caps = ["86"])
release = make_release([], release_tag = "llama-prebuilt-latest", upstream_tag = "b9000")
checksums = make_checksums_with_source(
[],
release_tag = release.release_tag,
upstream_tag = "b9000",
)
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"iter_resolved_published_releases",
lambda requested_tag, published_repo, published_release_tag = "": iter(
[
INSTALL_LLAMA_PREBUILT.ResolvedPublishedRelease(
bundle = release,
checksums = checksums,
)
]
),
)
mock_linux_runtime(monkeypatch, ["cuda12"])
with pytest.raises(PrebuiltFallback, match = "no compatible Linux prebuilt asset was found"):
resolve_install_attempts("latest", host, "unslothai/llama.cpp", "")
def test_windows_cpu_prefers_published_asset(self, monkeypatch):
host = make_host(
system = "Windows",
machine = "AMD64",
has_usable_nvidia = False,
has_physical_nvidia = False,
nvidia_smi = None,
)
asset_name = "llama-b9000-bin-win-cpu-x64.zip"
release = make_release(
[
make_artifact(
asset_name,
install_kind = "windows-cpu",
runtime_line = None,
coverage_class = None,
supported_sms = [],
min_sm = None,
max_sm = None,
bundle_profile = None,
)
],
release_tag = "llama-prebuilt-latest",
upstream_tag = "b9000",
assets = {asset_name: f"https://published.example/{asset_name}"},
)
checksums = make_checksums_with_source(
[asset_name],
release_tag = release.release_tag,
upstream_tag = "b9000",
)
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"iter_resolved_published_releases",
lambda requested_tag, published_repo, published_release_tag = "": iter(
[
INSTALL_LLAMA_PREBUILT.ResolvedPublishedRelease(
bundle = release,
checksums = checksums,
)
]
),
)
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"github_release_assets",
lambda repo, tag: (_ for _ in ()).throw(
AssertionError("published Windows CPU choice should not query upstream")
),
)
_requested_tag, resolved_tag, attempts, _approved = resolve_install_attempts(
"latest",
host,
"unslothai/llama.cpp",
"",
)
assert resolved_tag == "b9000"
assert attempts[0].name == asset_name
assert attempts[0].source_label == "published"
def test_macos_prefers_published_asset(self, monkeypatch):
host = make_host(
system = "Darwin",
machine = "arm64",
nvidia_smi = None,
driver_cuda_version = None,
compute_caps = [],
has_physical_nvidia = False,
has_usable_nvidia = False,
)
asset_name = "llama-b9000-bin-macos-arm64.tar.gz"
release = make_release(
[
make_artifact(
asset_name,
install_kind = "macos-arm64",
runtime_line = None,
coverage_class = None,
supported_sms = [],
min_sm = None,
max_sm = None,
bundle_profile = None,
)
],
release_tag = "llama-prebuilt-latest",
upstream_tag = "b9000",
assets = {asset_name: f"https://published.example/{asset_name}"},
)
checksums = make_checksums_with_source(
[asset_name],
release_tag = release.release_tag,
upstream_tag = "b9000",
)
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"iter_resolved_published_releases",
lambda requested_tag, published_repo, published_release_tag = "": iter(
[
INSTALL_LLAMA_PREBUILT.ResolvedPublishedRelease(
bundle = release,
checksums = checksums,
)
]
),
)
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"github_release_assets",
lambda repo, tag: (_ for _ in ()).throw(
AssertionError("published macOS choice should not query upstream")
),
)
_requested_tag, resolved_tag, attempts, _approved = resolve_install_attempts(
"latest",
host,
"unslothai/llama.cpp",
"",
)
assert resolved_tag == "b9000"
assert attempts[0].name == asset_name
assert attempts[0].source_label == "published"
def test_windows_cpu_missing_checksum_rejects_install(self, monkeypatch):
host = make_host(
system = "Windows",
machine = "AMD64",
has_usable_nvidia = False,
has_physical_nvidia = False,
nvidia_smi = None,
)
published_name = "llama-b9000-bin-win-cpu-x64.zip"
release = make_release(
[
make_artifact(
published_name,
install_kind = "windows-cpu",
runtime_line = None,
coverage_class = None,
supported_sms = [],
min_sm = None,
max_sm = None,
bundle_profile = None,
)
],
release_tag = "llama-prebuilt-latest",
upstream_tag = "b9000",
assets = {published_name: f"https://published.example/{published_name}"},
)
checksums = make_checksums_with_source(
[],
release_tag = release.release_tag,
upstream_tag = "b9000",
)
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"iter_resolved_published_releases",
lambda requested_tag, published_repo, published_release_tag = "": iter(
[
INSTALL_LLAMA_PREBUILT.ResolvedPublishedRelease(
bundle = release,
checksums = checksums,
)
]
),
)
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"github_release_assets",
lambda repo, tag: {
f"llama-{tag}-bin-win-cpu-x64.zip": f"https://upstream.example/llama-{tag}-bin-win-cpu-x64.zip"
},
)
with pytest.raises(
PrebuiltFallback,
match = "approved checksum asset did not contain the selected prebuilt archive",
):
resolve_install_attempts(
"latest",
host,
"unslothai/llama.cpp",
"",
)
class TestResolveInstallReleasePlans:
def _cuda_bundle(self, asset_name, release_tag, upstream_tag):
# A fork CUDA bundle that covers the default NVIDIA host (sm 86,
# cuda12 runtime), so each release yields a plan via
# linux_cuda_choice_from_release.
art = make_artifact(
asset_name,
install_kind = "linux-cuda",
runtime_line = "cuda12",
coverage_class = "portable",
supported_sms = ["75", "80", "86", "89", "90"],
min_sm = 75,
max_sm = 90,
)
return INSTALL_LLAMA_PREBUILT.ResolvedPublishedRelease(
bundle = make_release([art], release_tag = release_tag, upstream_tag = upstream_tag),
checksums = make_checksums_with_source(
[asset_name],
release_tag = release_tag,
upstream_tag = upstream_tag,
),
)
def test_latest_collects_multiple_older_release_plans_up_to_limit(self, monkeypatch):
mock_linux_runtime(monkeypatch, ["cuda12"])
host = make_host(system = "Linux", machine = "x86_64", compute_caps = ["86"])
releases = [
self._cuda_bundle("app-b9003-linux-x64-cuda12.tar.gz", "r3", "b9003"),
self._cuda_bundle("app-b9002-linux-x64-cuda12.tar.gz", "r2", "b9002"),
self._cuda_bundle("app-b9001-linux-x64-cuda12.tar.gz", "r1", "b9001"),
]
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"iter_resolved_published_releases",
lambda requested_tag, published_repo, published_release_tag = "": iter(releases),
)
requested_tag, plans = _fork_manifest_release_plans(
"latest",
host,
"unslothai/llama.cpp",
"",
max_release_fallbacks = 2,
)
assert requested_tag == "latest"
assert [plan.release_tag for plan in plans] == ["r3", "r2"]
assert [plan.llama_tag for plan in plans] == ["b9003", "b9002"]
def test_latest_skips_non_installable_release_and_keeps_searching(self, monkeypatch):
mock_linux_runtime(monkeypatch, ["cuda12"])
host = make_host(system = "Linux", machine = "x86_64", compute_caps = ["86"])
releases = [
# r2 ships no fork bundle, so it yields no plan and is skipped.
INSTALL_LLAMA_PREBUILT.ResolvedPublishedRelease(
bundle = make_release([], release_tag = "r2", upstream_tag = "b9002"),
checksums = make_checksums_with_source(
[],
release_tag = "r2",
upstream_tag = "b9002",
),
),
self._cuda_bundle("app-b9001-linux-x64-cuda12.tar.gz", "r1", "b9001"),
]
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"iter_resolved_published_releases",
lambda requested_tag, published_repo, published_release_tag = "": iter(releases),
)
_requested_tag, plans = _fork_manifest_release_plans(
"latest",
host,
"unslothai/llama.cpp",
"",
max_release_fallbacks = 2,
)
assert len(plans) == 1
assert plans[0].release_tag == "r1"
assert plans[0].llama_tag == "b9001"
def test_malformed_release_fallback_env_uses_default(self, monkeypatch):
monkeypatch.setenv("UNSLOTH_LLAMA_MAX_PREBUILT_RELEASE_FALLBACKS", "not-an-int")
assert env_int("UNSLOTH_LLAMA_MAX_PREBUILT_RELEASE_FALLBACKS", 3, minimum = 1) == 3
def test_import_with_malformed_release_fallback_env_does_not_crash(self, monkeypatch):
monkeypatch.setenv("UNSLOTH_LLAMA_MAX_PREBUILT_RELEASE_FALLBACKS", "bad-value")
spec = importlib.util.spec_from_file_location(
"studio_install_llama_prebuilt_env_reload",
MODULE_PATH,
)
assert spec is not None and spec.loader is not None
module = importlib.util.module_from_spec(spec)
sys.modules[spec.name] = module
try:
spec.loader.exec_module(module)
assert module.DEFAULT_MAX_PREBUILT_RELEASE_FALLBACKS == 2
finally:
sys.modules.pop(spec.name, None)
# ===========================================================================
# N. windows_cuda_attempts
# ===========================================================================
class TestWindowsCudaAttempts:
TAG = "b8508"
def _upstream(
self,
*runtime_versions,
current_names: bool = False,
):
assets = {}
for rv in runtime_versions:
if current_names:
name = f"cudart-llama-bin-win-cuda-{rv}-x64.zip"
else:
name = f"llama-{self.TAG}-bin-win-cuda-{rv}-x64.zip"
assets[name] = f"https://example.com/{name}"
return assets
def test_driver_12_4_no_dlls_fallback(self, monkeypatch):
mock_windows_runtime(monkeypatch, [])
host = make_host(system = "Windows", machine = "AMD64", driver_cuda_version = (12, 4))
assets = self._upstream("12.4")
result = windows_cuda_attempts(host, self.TAG, assets, None)
assert len(result) == 1
assert result[0].runtime_line == "cuda12"
def test_driver_13_1_both_dlls(self, monkeypatch):
mock_windows_runtime(monkeypatch, ["cuda13", "cuda12"])
host = make_host(system = "Windows", machine = "AMD64", driver_cuda_version = (13, 1))
assets = self._upstream("13.1", "12.4")
result = windows_cuda_attempts(host, self.TAG, assets, None)
assert len(result) == 2
assert result[0].runtime_line == "cuda13"
assert result[1].runtime_line == "cuda12"
def test_driver_below_published_minor_is_gated_to_cuda12(self, monkeypatch):
# A 13.0 driver cannot run a 13.1 build (forward minor), so it is gated
# out of cuda13 and falls back to the cuda12 build it can run, even when
# only the cuda13 runtime libs are detected.
mock_windows_runtime(monkeypatch, ["cuda13"])
host = make_host(system = "Windows", machine = "AMD64", driver_cuda_version = (13, 0))
assets = self._upstream("13.1", "12.4")
result = windows_cuda_attempts(host, self.TAG, assets, None)
assert result[0].runtime_line == "cuda12"
assert result[0].name == f"llama-{self.TAG}-bin-win-cuda-12.4-x64.zip"
def test_driver_at_published_minor_selects_cuda13(self, monkeypatch):
# A 13.1 driver matches the published 13.1 build exactly.
mock_windows_runtime(monkeypatch, ["cuda13", "cuda12"])
host = make_host(system = "Windows", machine = "AMD64", driver_cuda_version = (13, 1))
assets = self._upstream("13.1", "12.4")
result = windows_cuda_attempts(host, self.TAG, assets, None)
assert result[0].runtime_line == "cuda13"
assert result[0].name == f"llama-{self.TAG}-bin-win-cuda-13.1-x64.zip"
def test_preferred_reorders(self, monkeypatch):
mock_windows_runtime(monkeypatch, ["cuda13", "cuda12"])
host = make_host(system = "Windows", machine = "AMD64", driver_cuda_version = (13, 1))
assets = self._upstream("13.1", "12.4")
result = windows_cuda_attempts(host, self.TAG, assets, "cuda12")
assert len(result) == 2
assert result[0].runtime_line == "cuda12"
def test_preferred_unavailable(self, monkeypatch):
mock_windows_runtime(monkeypatch, ["cuda12"])
host = make_host(system = "Windows", machine = "AMD64", driver_cuda_version = (12, 4))
assets = self._upstream("12.4")
result = windows_cuda_attempts(host, self.TAG, assets, "cuda13")
assert len(result) == 1
assert result[0].runtime_line == "cuda12"
def test_detected_incompatible_with_driver(self, monkeypatch):
mock_windows_runtime(monkeypatch, ["cuda13"])
host = make_host(system = "Windows", machine = "AMD64", driver_cuda_version = (12, 4))
assets = self._upstream("12.4")
result = windows_cuda_attempts(host, self.TAG, assets, None)
assert len(result) == 1
assert result[0].runtime_line == "cuda12"
def test_driver_too_old(self, monkeypatch):
mock_windows_runtime(monkeypatch, [])
host = make_host(system = "Windows", machine = "AMD64", driver_cuda_version = (11, 8))
assets = self._upstream("12.4")
result = windows_cuda_attempts(host, self.TAG, assets, None)
assert result == []
def test_asset_missing_from_upstream(self, monkeypatch):
mock_windows_runtime(monkeypatch, ["cuda12"])
host = make_host(system = "Windows", machine = "AMD64", driver_cuda_version = (12, 4))
result = windows_cuda_attempts(host, self.TAG, {}, None)
assert result == []
def test_both_assets_present(self, monkeypatch):
mock_windows_runtime(monkeypatch, ["cuda13", "cuda12"])
host = make_host(system = "Windows", machine = "AMD64", driver_cuda_version = (13, 1))
assets = self._upstream("13.1", "12.4")
result = windows_cuda_attempts(host, self.TAG, assets, None)
assert len(result) == 2
def test_current_upstream_names_are_supported(self, monkeypatch):
mock_windows_runtime(monkeypatch, ["cuda13", "cuda12"])
host = make_host(system = "Windows", machine = "AMD64", driver_cuda_version = (13, 1))
assets = self._upstream("13.1", "12.4", current_names = True)
result = windows_cuda_attempts(host, self.TAG, assets, None)
assert len(result) == 2
assert result[0].name == "cudart-llama-bin-win-cuda-13.1-x64.zip"
assert result[1].name == "cudart-llama-bin-win-cuda-12.4-x64.zip"
def test_cudart_runtime_archive_is_paired(self, monkeypatch):
# #5106: cudart bundle must surface on runtime_url so
# install_from_archives downloads it.
mock_windows_runtime(monkeypatch, ["cuda13", "cuda12"])
host = make_host(system = "Windows", machine = "AMD64", driver_cuda_version = (13, 1))
assets = {
f"llama-{self.TAG}-bin-win-cuda-13.1-x64.zip": f"https://example.com/llama-{self.TAG}-bin-win-cuda-13.1-x64.zip",
"cudart-llama-bin-win-cuda-13.1-x64.zip": "https://example.com/cudart-llama-bin-win-cuda-13.1-x64.zip",
f"llama-{self.TAG}-bin-win-cuda-12.4-x64.zip": f"https://example.com/llama-{self.TAG}-bin-win-cuda-12.4-x64.zip",
"cudart-llama-bin-win-cuda-12.4-x64.zip": "https://example.com/cudart-llama-bin-win-cuda-12.4-x64.zip",
}
result = windows_cuda_attempts(host, self.TAG, assets, None)
assert len(result) == 2
# cuda13 first (host driver supports 13.1)
assert result[0].name == f"llama-{self.TAG}-bin-win-cuda-13.1-x64.zip"
assert result[0].runtime_name == "cudart-llama-bin-win-cuda-13.1-x64.zip"
assert result[0].runtime_url == (
"https://example.com/cudart-llama-bin-win-cuda-13.1-x64.zip"
)
# cuda12 second
assert result[1].name == f"llama-{self.TAG}-bin-win-cuda-12.4-x64.zip"
assert result[1].runtime_name == "cudart-llama-bin-win-cuda-12.4-x64.zip"
def test_no_runtime_archive_when_cudart_absent(self, monkeypatch):
# Older releases without the cudart split must still install.
mock_windows_runtime(monkeypatch, ["cuda12"])
host = make_host(system = "Windows", machine = "AMD64", driver_cuda_version = (12, 4))
assets = {
f"llama-{self.TAG}-bin-win-cuda-12.4-x64.zip": f"https://example.com/llama-{self.TAG}-bin-win-cuda-12.4-x64.zip",
}
result = windows_cuda_attempts(host, self.TAG, assets, None)
assert len(result) == 1
assert result[0].runtime_url is None
assert result[0].runtime_name is None
def test_cudart_only_assets_do_not_self_pair(self, monkeypatch):
# Legacy cudart-only naming path must not self-pair.
mock_windows_runtime(monkeypatch, ["cuda13", "cuda12"])
host = make_host(system = "Windows", machine = "AMD64", driver_cuda_version = (13, 1))
assets = self._upstream("13.1", "12.4", current_names = True)
result = windows_cuda_attempts(host, self.TAG, assets, None)
assert len(result) == 2
for attempt in result:
assert attempt.runtime_url is None
assert attempt.runtime_name is None
def test_tracks_upstream_cuda13_minor_bump(self, monkeypatch):
# ggml-org bumped the published Windows cuda13 build 13.1 -> 13.3; the
# selector must follow it instead of the old hardcoded 13.1 (#5861).
mock_windows_runtime(monkeypatch, ["cuda13", "cuda12"])
host = make_host(system = "Windows", machine = "AMD64", driver_cuda_version = (13, 3))
assets = self._upstream("13.3", "12.4")
result = windows_cuda_attempts(host, self.TAG, assets, None)
assert result[0].runtime_line == "cuda13"
assert result[0].name == f"llama-{self.TAG}-bin-win-cuda-13.3-x64.zip"
def test_cuda13_minor_bump_pairs_matching_cudart(self, monkeypatch):
# The paired cudart bundle must track the same bumped minor.
mock_windows_runtime(monkeypatch, ["cuda13", "cuda12"])
host = make_host(system = "Windows", machine = "AMD64", driver_cuda_version = (13, 3))
assets = {
f"llama-{self.TAG}-bin-win-cuda-13.3-x64.zip": "https://example.com/llama-13.3",
"cudart-llama-bin-win-cuda-13.3-x64.zip": "https://example.com/cudart-13.3",
f"llama-{self.TAG}-bin-win-cuda-12.4-x64.zip": "https://example.com/llama-12.4",
"cudart-llama-bin-win-cuda-12.4-x64.zip": "https://example.com/cudart-12.4",
}
result = windows_cuda_attempts(host, self.TAG, assets, None)
assert result[0].name == f"llama-{self.TAG}-bin-win-cuda-13.3-x64.zip"
assert result[0].runtime_name == "cudart-llama-bin-win-cuda-13.3-x64.zip"
def test_driver_below_published_minor_does_not_get_newer_build(self, monkeypatch):
# ggml-org ships only cuda-13.3; a 13.1 driver cannot run it (forward
# minor), so it is gated to the cuda-12.4 build instead of an
# unguaranteed 13.3. A 13.3 driver still gets 13.3 (see other tests).
mock_windows_runtime(monkeypatch, ["cuda13", "cuda12"])
host = make_host(system = "Windows", machine = "AMD64", driver_cuda_version = (13, 1))
assets = self._upstream("13.3", "12.4")
result = windows_cuda_attempts(host, self.TAG, assets, None)
assert result[0].runtime_line == "cuda12"
assert result[0].name == f"llama-{self.TAG}-bin-win-cuda-12.4-x64.zip"
def test_tracks_future_cuda13_minor(self, monkeypatch):
# A later within-major bump (13.4) is tracked the same as 13.3.
mock_windows_runtime(monkeypatch, ["cuda13", "cuda12"])
host = make_host(system = "Windows", machine = "AMD64", driver_cuda_version = (13, 4))
assets = self._upstream("13.4", "12.4")
result = windows_cuda_attempts(host, self.TAG, assets, None)
assert result[0].name == f"llama-{self.TAG}-bin-win-cuda-13.4-x64.zip"
def test_new_cuda_major_selected_when_published(self, monkeypatch):
# A new CUDA major (14.x) driver picks the published cuda14 build.
mock_windows_runtime(monkeypatch, ["cuda14", "cuda13", "cuda12"])
host = make_host(system = "Windows", machine = "AMD64", driver_cuda_version = (14, 0))
assets = self._upstream("14.0", "13.3", "12.4")
result = windows_cuda_attempts(host, self.TAG, assets, None)
assert result[0].runtime_line == "cuda14"
assert result[0].name == f"llama-{self.TAG}-bin-win-cuda-14.0-x64.zip"
def test_new_cuda_major_degrades_to_published_cuda13(self, monkeypatch):
# A 14.x driver with no cuda14 build runs the newest published cuda13
# build via backward compatibility.
mock_windows_runtime(monkeypatch, ["cuda13", "cuda12"])
host = make_host(system = "Windows", machine = "AMD64", driver_cuda_version = (14, 0))
assets = self._upstream("13.3", "12.4")
result = windows_cuda_attempts(host, self.TAG, assets, None)
assert result[0].name == f"llama-{self.TAG}-bin-win-cuda-13.3-x64.zip"
# ===========================================================================
# N.1b. _pinned_windows_cuda_fallback -- pinned b9360 cuda-13.1 Blackwell fallback
# ===========================================================================
class TestPinnedBlackwellCudaFallback:
"""A Blackwell host on a 13.0/13.1/13.2 driver, gated off the in-release 13.3
build, gets the pinned immutable b9360 cuda-13.1 GPU build instead of the
CPU-only cuda-12.4 drop. The pin is dormant for everyone else."""
TAG = "b8508"
def _win_host(self, driver, caps):
return make_host(
system = "Windows",
machine = "AMD64",
driver_cuda_version = driver,
compute_caps = caps,
)
def test_pin_offered_for_driver_13_1_blackwell(self):
pin = _pinned_windows_cuda_fallback(self._win_host((13, 1), ["120"]), [])
assert pin is not None
assert pin.tag == "b9360"
assert pin.runtime_line == "cuda13"
assert pin.name == "llama-b9360-bin-win-cuda-13.1-x64.zip"
assert pin.runtime_name == "cudart-llama-bin-win-cuda-13.1-x64.zip"
assert pin.url.endswith("/b9360/llama-b9360-bin-win-cuda-13.1-x64.zip")
assert pin.runtime_url.endswith("/b9360/cudart-llama-bin-win-cuda-13.1-x64.zip")
assert pin.install_kind == "windows-cuda"
assert pin.expected_sha256 and len(pin.expected_sha256) == 64
assert pin.runtime_sha256 and len(pin.runtime_sha256) == 64
def test_pin_offered_for_driver_13_2(self):
assert _pinned_windows_cuda_fallback(self._win_host((13, 2), ["120"]), []) is not None
def test_pin_offered_for_sm121_variant(self):
# sm_121 is Blackwell-family and also needs toolkit >= 12.8.
assert _pinned_windows_cuda_fallback(self._win_host((13, 1), ["121"]), []) is not None
def test_pin_uses_max_of_multi_gpu_caps(self):
assert _pinned_windows_cuda_fallback(self._win_host((13, 1), ["86", "120"]), []) is not None
@pytest.mark.parametrize("sm", ["89", "90", "100"])
def test_pin_not_offered_to_non_blackwell(self, sm):
# Ada/Hopper run the cuda-12.4 build fine; the pin must not fire.
assert _pinned_windows_cuda_fallback(self._win_host((13, 1), [sm]), []) is None
def test_pin_offered_for_driver_13_0(self):
# b9360 is native sm_120a SASS (no JIT) and ships a cuda-13.1 cudart,
# both of which run on a 13.0 r580+ driver via CUDA minor-version
# compatibility. 13.0 is the mainstream Blackwell branch, so it must fire.
assert _pinned_windows_cuda_fallback(self._win_host((13, 0), ["120"]), []) is not None
def test_pin_not_offered_below_floor(self):
# 12.x predates Blackwell entirely; the pin stays dormant below 13.0.
assert _pinned_windows_cuda_fallback(self._win_host((12, 9), ["120"]), []) is None
def test_pin_not_offered_without_driver(self):
assert _pinned_windows_cuda_fallback(self._win_host(None, ["120"]), []) is None
def test_pin_not_offered_on_linux(self):
host = make_host(
system = "Linux",
machine = "x86_64",
driver_cuda_version = (13, 1),
compute_caps = ["120"],
)
assert _pinned_windows_cuda_fallback(host, []) is None
def test_pin_dormant_when_cuda13_attempt_present(self, monkeypatch):
# A runnable in-release cuda13 build makes the pin unnecessary.
mock_windows_runtime(monkeypatch, ["cuda13", "cuda12"])
host = self._win_host((13, 1), ["120"])
assets = {
f"llama-{self.TAG}-bin-win-cuda-13.1-x64.zip": "https://example.com/13.1",
f"llama-{self.TAG}-bin-win-cuda-12.4-x64.zip": "https://example.com/12.4",
}
existing = windows_cuda_attempts(host, self.TAG, assets, None)
assert any(a.runtime_line == "cuda13" for a in existing)
assert _pinned_windows_cuda_fallback(host, existing) is None
def _win_cuda_attempt(self, minor):
major = minor.split(".")[0]
return AssetChoice(
repo = UPSTREAM_REPO,
tag = self.TAG,
name = f"llama-{self.TAG}-bin-win-cuda-{minor}-x64.zip",
url = "https://example.com/x",
source_label = "upstream",
install_kind = "windows-cuda",
runtime_line = f"cuda{major}",
)
def test_pin_dormant_when_runnable_cuda14_present(self, monkeypatch):
# A future Blackwell host with an in-release cuda14 build (no cuda13)
# must not get the older b9360 13.1 pin ahead of the runnable cuda14.
mock_windows_runtime(monkeypatch, ["cuda14", "cuda12"])
host = self._win_host((14, 0), ["120"])
assets = {
f"llama-{self.TAG}-bin-win-cuda-14.0-x64.zip": "https://example.com/14.0",
f"llama-{self.TAG}-bin-win-cuda-12.4-x64.zip": "https://example.com/12.4",
}
existing = windows_cuda_attempts(host, self.TAG, assets, None)
assert any(a.runtime_line == "cuda14" for a in existing)
assert _pinned_windows_cuda_fallback(host, existing) is None
def test_pin_dormant_when_runnable_cuda12_8_present(self):
# A cuda-12.8 build also covers Blackwell, so the pin defers to it.
host = self._win_host((13, 1), ["120"])
existing = [self._win_cuda_attempt("12.8")]
assert _pinned_windows_cuda_fallback(host, existing) is None
def test_pin_fires_when_only_cuda12_4_present(self):
# cuda-12.4 does not cover Blackwell, so the pin still fires.
host = self._win_host((13, 1), ["120"])
existing = [self._win_cuda_attempt("12.4")]
assert _pinned_windows_cuda_fallback(host, existing) is not None
@pytest.mark.parametrize(
"minor, covers",
[
("12.4", False),
("12.8", True),
("13.1", True),
("13.3", True),
("14.0", True),
],
)
def test_attempt_covers_blackwell(self, minor, covers):
assert _windows_cuda_attempt_covers_blackwell(self._win_cuda_attempt(minor)) is covers
def test_attempt_covers_blackwell_ignores_non_cuda_kind(self):
cpu = AssetChoice(
repo = UPSTREAM_REPO,
tag = self.TAG,
name = f"llama-{self.TAG}-bin-win-cpu-x64.zip",
url = "https://example.com/x",
source_label = "upstream",
install_kind = "windows-cpu",
)
assert _windows_cuda_attempt_covers_blackwell(cpu) is False
def _app_attempt(self, profile, runtime_line, max_sm):
# The fork's app-named windows-cuda bundle: no toolkit minor in the name,
# SM coverage declared directly (as published_windows_cuda_attempts sets it).
return AssetChoice(
repo = UPSTREAM_REPO,
tag = self.TAG,
name = f"app-{self.TAG}-windows-x64-{runtime_line}-{profile}.zip",
url = "https://example.com/x",
source_label = "published",
install_kind = "windows-cuda",
runtime_line = runtime_line,
coverage_class = "newer" if profile == "newer" else profile,
max_sm = max_sm,
min_sm = 80,
supported_sms = ["120"] if max_sm >= 120 else ["86", "89"],
)
@pytest.mark.parametrize(
"profile, runtime_line, max_sm, covers",
[
("newer", "cuda13", 120, True), # native Blackwell build
("newer", "cuda12", 120, True), # 12.8 toolkit app bundle reaches sm120
("older", "cuda12", 89, False), # 12.4 toolkit app bundle stops at Ada
],
)
def test_attempt_covers_blackwell_app_bundle(self, profile, runtime_line, max_sm, covers):
# App-named bundles carry no toolkit minor; coverage is read from max_sm.
attempt = self._app_attempt(profile, runtime_line, max_sm)
assert _windows_cuda_attempt_covers_blackwell(attempt) is covers
def test_pin_dormant_when_app_bundle_covers_blackwell(self):
# Regression: the fork's app-named cuda13 bundle covers Blackwell, so the
# b9360 pin must retire instead of being prepended ahead of the native
# in-release build (previously the coverage check only matched legacy
# -bin-win-cuda-X.Y-x64.zip names, so the pin never went dormant).
host = self._win_host((13, 1), ["120"])
existing = [self._app_attempt("newer", "cuda13", 120)]
assert _pinned_windows_cuda_fallback(host, existing) is None
# ===========================================================================
# N.1c. direct_upstream_release_plan -- pinned Blackwell fallback ordering
# ===========================================================================
class TestDirectUpstreamBlackwellPin:
"""End to end: the pin lands ahead of cuda-12.4 on the simple/upstream path
a Blackwell Windows host actually uses, and stays absent once a runnable
in-release cuda13 build exists."""
TAG = "b9365"
def _release(self):
names = [
f"llama-{self.TAG}-bin-win-cuda-13.3-x64.zip",
"cudart-llama-bin-win-cuda-13.3-x64.zip",
f"llama-{self.TAG}-bin-win-cuda-12.4-x64.zip",
"cudart-llama-bin-win-cuda-12.4-x64.zip",
f"llama-{self.TAG}-bin-win-cpu-x64.zip",
]
return {
"tag_name": self.TAG,
"assets": [
{"name": n, "browser_download_url": f"https://example.com/{n}"} for n in names
],
}
def _no_torch(self, monkeypatch):
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"detect_torch_cuda_runtime_preference",
lambda host: CudaRuntimePreference(runtime_line = None, selection_log = []),
)
def test_blackwell_13_1_prepends_pin(self, monkeypatch):
mock_windows_runtime(monkeypatch, ["cuda13", "cuda12"])
self._no_torch(monkeypatch)
host = make_host(
system = "Windows",
machine = "AMD64",
driver_cuda_version = (13, 1),
compute_caps = ["120"],
)
plan = direct_upstream_release_plan(self._release(), host, UPSTREAM_REPO, "latest")
order = [(a.tag, a.runtime_line or a.install_kind) for a in plan.attempts]
# cuda-12.4 (toolkit 12.4, no sm_120) is dropped entirely on Blackwell:
# behind the pin it would still be attempted if the pin download failed,
# and the functional validator accepts its slow non-native path.
assert order == [("b9360", "cuda13"), (self.TAG, "windows-cpu")]
assert plan.attempts[0].name == "llama-b9360-bin-win-cuda-13.1-x64.zip"
# Direct/upstream path stays unverified-by-manifest (no approved hashes).
assert plan.approved_checksums.artifacts == {}
def test_blackwell_13_3_no_pin(self, monkeypatch):
mock_windows_runtime(monkeypatch, ["cuda13", "cuda12"])
self._no_torch(monkeypatch)
host = make_host(
system = "Windows",
machine = "AMD64",
driver_cuda_version = (13, 3),
compute_caps = ["120"],
)
plan = direct_upstream_release_plan(self._release(), host, UPSTREAM_REPO, "latest")
assert "b9360" not in [a.tag for a in plan.attempts]
assert plan.attempts[0].tag == self.TAG
assert plan.attempts[0].runtime_line == "cuda13"
assert plan.attempts[0].name == f"llama-{self.TAG}-bin-win-cuda-13.3-x64.zip"
# N.1c2. Blackwell never falls to a non-sm_120 windows-cuda attempt
class TestBlackwellCuda124Exclusion:
"""A Blackwell host must never have a windows-cuda attempt that cannot
offload sm_120 anywhere in its chain: behind the pin it is one failed
download away from a validated-but-7-tok/s install."""
def _bw_host(self):
return make_host(
system = "Windows",
machine = "AMD64",
driver_cuda_version = (13, 1),
compute_caps = ["120"],
)
def _upstream_cuda(
self,
minor,
tag = "b9365",
):
return AssetChoice(
repo = "ggml-org/llama.cpp",
tag = tag,
name = f"llama-{tag}-bin-win-cuda-{minor}-x64.zip",
url = f"https://example.com/{minor}",
source_label = "upstream",
install_kind = "windows-cuda",
runtime_line = "cuda" + minor.split(".")[0],
)
def test_drops_124_keeps_133_on_blackwell(self):
kept = INSTALL_LLAMA_PREBUILT._drop_blackwell_incapable_windows_cuda(
self._bw_host(),
[self._upstream_cuda("13.3"), self._upstream_cuda("12.4")],
)
assert [a.name for a in kept] == ["llama-b9365-bin-win-cuda-13.3-x64.zip"]
def test_keeps_manifest_cuda12_bundle_with_sm120(self):
# Published cuda12 app bundles are toolkit-12.8 builds that include
# sm_120; the manifest SM metadata must keep them on Blackwell.
bundle = AssetChoice(
repo = "unslothai/llama.cpp",
tag = "b9585",
name = "app-b9585-windows-x64-cuda12-portable.zip",
url = "https://example.com/app",
source_label = "published",
install_kind = "windows-cuda",
runtime_line = "cuda12",
supported_sms = ["70", "120"],
max_sm = 120,
)
kept = INSTALL_LLAMA_PREBUILT._drop_blackwell_incapable_windows_cuda(
self._bw_host(), [bundle]
)
assert kept == [bundle]
assert _windows_cuda_attempt_covers_blackwell(bundle)
def test_manifest_bundle_without_sm120_dropped(self):
bundle = AssetChoice(
repo = "unslothai/llama.cpp",
tag = "b9585",
name = "app-b9585-windows-x64-cuda12-older.zip",
url = "https://example.com/app",
source_label = "published",
install_kind = "windows-cuda",
runtime_line = "cuda12",
supported_sms = ["70", "75", "80"],
max_sm = 80,
)
assert (
INSTALL_LLAMA_PREBUILT._drop_blackwell_incapable_windows_cuda(self._bw_host(), [bundle])
== []
)
def test_non_blackwell_host_unfiltered(self):
host = make_host(
system = "Windows",
machine = "AMD64",
driver_cuda_version = (12, 9),
compute_caps = ["89"],
)
attempts = [self._upstream_cuda("12.4")]
assert (
INSTALL_LLAMA_PREBUILT._drop_blackwell_incapable_windows_cuda(host, attempts)
== attempts
)
def test_non_cuda_attempts_pass_through(self):
cpu = AssetChoice(
repo = "ggml-org/llama.cpp",
tag = "b9365",
name = "llama-b9365-bin-win-cpu-x64.zip",
url = "https://example.com/cpu",
source_label = "upstream",
install_kind = "windows-cpu",
)
kept = INSTALL_LLAMA_PREBUILT._drop_blackwell_incapable_windows_cuda(
self._bw_host(), [self._upstream_cuda("12.4"), cpu]
)
assert kept == [cpu]
# N.1c3. direct_linux_release_plan -- no silent CPU on NVIDIA hosts
class TestDirectLinuxNvidiaCpuGate:
"""When a release ships a linux-cpu bundle but no CUDA line this NVIDIA
host can use, the planner must raise (so the caller walks back to an older
release with a usable CUDA line) instead of silently planning a CPU
install on a GPU host. CPU-only hosts keep taking the CPU bundle."""
def _bundle_cpu_only(self):
return make_release(
[
make_artifact(
"llama-b8508-bin-ubuntu-x64.tar.gz",
install_kind = "linux-cpu",
runtime_line = None,
coverage_class = None,
supported_sms = [],
min_sm = None,
max_sm = None,
bundle_profile = None,
),
]
)
def _patch(self, monkeypatch):
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"parse_direct_linux_release_bundle",
lambda repo, release: self._bundle_cpu_only(),
)
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"detect_torch_cuda_runtime_preference",
lambda host: CudaRuntimePreference(runtime_line = None, selection_log = []),
)
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"detected_linux_runtime_lines",
lambda: (["cuda13"], {"cuda13": ["/usr/local/cuda/lib64"]}),
)
def test_nvidia_host_without_cuda_line_raises_for_walkback(self, monkeypatch):
self._patch(monkeypatch)
host = make_host(driver_cuda_version = (13, 1), compute_caps = ["100"])
with pytest.raises(PrebuiltFallback, match = "no compatible Linux prebuilt"):
INSTALL_LLAMA_PREBUILT.direct_linux_release_plan(
{"tag_name": "b8508"}, host, "unslothai/llama.cpp", "latest"
)
def test_cpu_host_still_gets_cpu_bundle(self, monkeypatch):
self._patch(monkeypatch)
host = make_host(
nvidia_smi = None,
driver_cuda_version = None,
compute_caps = [],
has_physical_nvidia = False,
has_usable_nvidia = False,
)
plan = INSTALL_LLAMA_PREBUILT.direct_linux_release_plan(
{"tag_name": "b8508"}, host, "unslothai/llama.cpp", "latest"
)
assert [a.install_kind for a in plan.attempts] == ["linux-cpu"]
class TestLinuxPublishedAttemptsNvidiaCpuGate:
"""Live fork-manifest path (_linux_published_attempts): an NVIDIA host whose
CUDA selection finds nothing must NOT be handed the manifest's CPU bundle --
the attempt list stays empty so the caller source-builds with CUDA instead of
silently installing a CPU-only binary on a GPU host. CPU-only hosts still get
the CPU bundle. Mirrors the ROCm policy and TestDirectLinuxNvidiaCpuGate (the
latter covers direct_linux_release_plan, which is off the live path, this the
live path)."""
def _cpu_only_bundle(self):
return make_release(
[
make_artifact(
"app-b8508-linux-x64-cpu.tar.gz",
install_kind = "linux-cpu",
runtime_line = None,
coverage_class = None,
supported_sms = [],
min_sm = None,
max_sm = None,
bundle_profile = None,
rank = 1000,
),
]
)
def test_nvidia_host_without_cuda_line_gets_no_cpu_attempt(self, monkeypatch):
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"detect_torch_cuda_runtime_preference",
lambda host: CudaRuntimePreference(runtime_line = None, selection_log = []),
)
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"detected_linux_runtime_lines",
lambda: (["cuda13"], {"cuda13": ["/usr/local/cuda/lib64"]}),
)
host = make_host(driver_cuda_version = (13, 1), compute_caps = ["100"])
attempts = INSTALL_LLAMA_PREBUILT._linux_published_attempts(host, self._cpu_only_bundle())
assert attempts == []
def test_cpu_host_gets_cpu_attempt(self):
host = make_host(
nvidia_smi = None,
driver_cuda_version = None,
compute_caps = [],
has_physical_nvidia = False,
has_usable_nvidia = False,
)
attempts = INSTALL_LLAMA_PREBUILT._linux_published_attempts(host, self._cpu_only_bundle())
assert [a.install_kind for a in attempts] == ["linux-cpu"]
# ===========================================================================
# N.1d. published_windows_cuda_attempts -- version-dynamic ordering seed
# ===========================================================================
class TestPublishedWindowsCudaAttemptsDynamicMajor:
"""The published-path ordering seed is derived from the release's real
published minors, so a future CUDA major published here is selectable
instead of being hidden by a hardcoded cuda12/cuda13 seed."""
TAG = "b8508"
def _win_cuda_artifact(self, minor, runtime_line):
return make_artifact(
f"llama-{self.TAG}-bin-win-cuda-{minor}-x64.zip",
install_kind = "windows-cuda",
runtime_line = runtime_line,
supported_sms = ["75", "80", "86", "89", "90", "100", "120"],
max_sm = 120,
)
def _release(self, minors_lines):
artifacts = [self._win_cuda_artifact(m, line) for m, line in minors_lines]
return make_release(artifacts, upstream_tag = self.TAG)
def test_future_cuda14_published_is_selected(self, monkeypatch):
# With the dynamic seed a 14.x driver reaches a published cuda14 build;
# the old hardcoded cuda12/cuda13 seed would never order it (the cuda14
# line would be skipped for want of a 14.x asset in the seed).
mock_windows_runtime(monkeypatch, ["cuda14", "cuda13", "cuda12"])
release = self._release([("14.0", "cuda14"), ("13.3", "cuda13"), ("12.4", "cuda12")])
host = make_host(
system = "Windows",
machine = "AMD64",
driver_cuda_version = (14, 0),
compute_caps = ["120"],
)
result = published_windows_cuda_attempts(host, release, None)
assert result[0].runtime_line == "cuda14"
assert result[0].name == f"llama-{self.TAG}-bin-win-cuda-14.0-x64.zip"
def test_cuda13_minor_selected_for_13_3_driver(self, monkeypatch):
# Existing behavior unchanged: a 13.3 driver gets the real 13.3 build.
mock_windows_runtime(monkeypatch, ["cuda13", "cuda12"])
release = self._release([("13.3", "cuda13"), ("12.4", "cuda12")])
host = make_host(
system = "Windows",
machine = "AMD64",
driver_cuda_version = (13, 3),
compute_caps = ["120"],
)
result = published_windows_cuda_attempts(host, release, None)
assert result[0].runtime_line == "cuda13"
assert result[0].name == f"llama-{self.TAG}-bin-win-cuda-13.3-x64.zip"
def test_below_minor_driver_gated_to_cuda12(self, monkeypatch):
# A 13.1 driver is gated off a published 13.3 and falls to cuda12.
mock_windows_runtime(monkeypatch, ["cuda13", "cuda12"])
release = self._release([("13.3", "cuda13"), ("12.4", "cuda12")])
host = make_host(
system = "Windows",
machine = "AMD64",
driver_cuda_version = (13, 1),
compute_caps = ["120"],
)
result = published_windows_cuda_attempts(host, release, None)
assert result[0].runtime_line == "cuda12"
# ===========================================================================
# N.1e. resolve_release_asset_choice -- pin on the published install path
# ===========================================================================
class TestResolveReleaseAssetChoicePin:
"""The manifest install path reaches the same b9360 Blackwell pin as the
filename path, with its verified hash threaded."""
TAG = "b8508"
def _release(self, minors_lines):
artifacts = [
make_artifact(
f"llama-{self.TAG}-bin-win-cuda-{minor}-x64.zip",
install_kind = "windows-cuda",
runtime_line = line,
supported_sms = ["75", "80", "86", "89", "90", "100", "120"],
max_sm = 120,
)
for minor, line in minors_lines
]
assets = {}
for minor, _line in minors_lines:
assets[f"llama-{self.TAG}-bin-win-cuda-{minor}-x64.zip"] = (
f"https://example.com/llama-{minor}"
)
assets[f"cudart-llama-bin-win-cuda-{minor}-x64.zip"] = (
f"https://example.com/cudart-{minor}"
)
return make_release(artifacts, upstream_tag = self.TAG, assets = assets)
def _checksums(self, minors):
names = []
for minor in minors:
names.append(f"llama-{self.TAG}-bin-win-cuda-{minor}-x64.zip")
names.append(f"cudart-llama-bin-win-cuda-{minor}-x64.zip")
return make_checksums(names)
def _no_torch(self, monkeypatch):
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"detect_torch_cuda_runtime_preference",
lambda host: CudaRuntimePreference(runtime_line = None, selection_log = []),
)
def test_pin_applied_on_published_path_for_13_1(self, monkeypatch):
mock_windows_runtime(monkeypatch, ["cuda13", "cuda12"])
self._no_torch(monkeypatch)
release = self._release([("13.3", "cuda13"), ("12.4", "cuda12")])
checksums = self._checksums(["12.4"]) # 13.3 gated off for a 13.1 driver
host = make_host(
system = "Windows",
machine = "AMD64",
driver_cuda_version = (13, 1),
compute_caps = ["120"],
)
result = resolve_release_asset_choice(host, self.TAG, release, checksums)
assert result[0].tag == "b9360"
assert result[0].name == "llama-b9360-bin-win-cuda-13.1-x64.zip"
# apply_approved_hashes threaded the pin's verified hash from the
# augmented checksums (the pin survives the approved-hash gate).
assert result[0].expected_sha256 and len(result[0].expected_sha256) == 64
assert result[0].runtime_sha256 and len(result[0].runtime_sha256) == 64
# The sm_120-incapable upstream cuda-12.4 zip is excluded on Blackwell
# rather than left behind the pin as a slow-path fallback.
assert not any(a.runtime_line == "cuda12" for a in result)
def test_pin_dormant_on_published_path_for_13_3(self, monkeypatch):
mock_windows_runtime(monkeypatch, ["cuda13", "cuda12"])
self._no_torch(monkeypatch)
release = self._release([("13.3", "cuda13"), ("12.4", "cuda12")])
checksums = self._checksums(["13.3", "12.4"])
host = make_host(
system = "Windows",
machine = "AMD64",
driver_cuda_version = (13, 3),
compute_caps = ["120"],
)
result = resolve_release_asset_choice(host, self.TAG, release, checksums)
assert "b9360" not in [a.tag for a in result]
assert result[0].name == f"llama-{self.TAG}-bin-win-cuda-13.3-x64.zip"
def test_pin_not_applied_for_non_blackwell(self, monkeypatch):
mock_windows_runtime(monkeypatch, ["cuda13", "cuda12"])
self._no_torch(monkeypatch)
release = self._release([("13.3", "cuda13"), ("12.4", "cuda12")])
checksums = self._checksums(["12.4"])
host = make_host(
system = "Windows",
machine = "AMD64",
driver_cuda_version = (13, 1),
compute_caps = ["89"],
)
result = resolve_release_asset_choice(host, self.TAG, release, checksums)
assert "b9360" not in [a.tag for a in result]
class TestPublishedWindowsCudaAppBundleSmSelection:
"""app-named windows-cuda bundles carry no minor in the filename, so the
driver-minor gate is skipped. Selection must instead filter by SM coverage,
or every host gets the lowest-rank "older" bundle regardless of its GPU."""
TAG = "b9457"
def _app(self, klass, supported, min_sm, max_sm, rank):
return make_artifact(
f"app-{self.TAG}-windows-x64-cuda12-{klass}.zip",
install_kind = "windows-cuda",
runtime_line = "cuda12",
coverage_class = klass,
supported_sms = supported,
min_sm = min_sm,
max_sm = max_sm,
bundle_profile = f"cuda12-{klass}",
rank = rank,
)
def test_blackwell_sm120_skips_older_bundle(self, monkeypatch):
mock_windows_runtime(monkeypatch, ["cuda12"])
older = self._app("older", ["70", "75", "80", "86", "89"], 70, 89, 10)
newer = self._app("newer", ["86", "89", "90", "100", "120"], 86, 120, 20)
portable = self._app(
"portable", ["70", "75", "80", "86", "89", "90", "100", "120"], 70, 120, 30
)
release = make_release([older, newer, portable], upstream_tag = self.TAG)
host = make_host(
system = "Windows",
machine = "AMD64",
driver_cuda_version = (12, 8),
compute_caps = ["120"],
)
result = published_windows_cuda_attempts(host, release, None)
assert result, "expected a windows-cuda attempt for an sm120 host"
# The lowest-rank "older" bundle (max_sm 89) must not be chosen, and the
# tightest covering bundle is cuda12-newer (range 86-120).
assert result[0].name == f"app-{self.TAG}-windows-x64-cuda12-newer.zip"
def _line(self, line, klass, rank):
return make_artifact(
f"app-{self.TAG}-windows-x64-{line}-{klass}.zip",
install_kind = "windows-cuda",
runtime_line = line,
coverage_class = klass,
supported_sms = ["86", "89", "90", "100", "120"],
min_sm = 86,
max_sm = 120,
bundle_profile = f"{line}-{klass}",
rank = rank,
)
def test_cuda13_reachable_on_driver_13_0(self, monkeypatch):
# app-named cuda13 bundles must be reachable on a 13.0 driver. The old
# synthetic '13.1' minor gate dropped the whole cuda13 line (13.1 > 13.0),
# so a cu13 host fell to cuda12. cuda13 is gated at the major level now.
mock_windows_runtime(monkeypatch, ["cuda13", "cuda12"])
release = make_release(
[self._line("cuda12", "newer", 20), self._line("cuda13", "newer", 50)],
upstream_tag = self.TAG,
)
host = make_host(
system = "Windows",
machine = "AMD64",
driver_cuda_version = (13, 0),
compute_caps = ["120"],
)
result = published_windows_cuda_attempts(host, release, "cuda13")
assert result
assert result[0].runtime_line == "cuda13"
assert result[0].name == f"app-{self.TAG}-windows-x64-cuda13-newer.zip"
def test_app_bundle_offered_when_no_runtime_dll_detected(self, monkeypatch):
# Windows torch bundles cudart in torch/lib, which runtime-DLL probing
# misses, so detected_windows_runtime_lines() returns nothing. The app
# bundle ships its own runtime, so selection must fall back to the
# driver-derived order instead of yielding no attempt (which would drop
# the host to the upstream build).
mock_windows_runtime(monkeypatch, [])
release = make_release(
[self._line("cuda12", "newer", 20), self._line("cuda13", "newer", 50)],
upstream_tag = self.TAG,
)
host = make_host(
system = "Windows",
machine = "AMD64",
driver_cuda_version = (13, 0),
compute_caps = ["120"],
)
result = published_windows_cuda_attempts(host, release, "cuda13")
assert result, "torch-only host must still get the fork app bundle"
assert result[0].name == f"app-{self.TAG}-windows-x64-cuda13-newer.zip"
class TestPublishedRocmGfxSelection:
"""Published ROCm bundles are matched by the host's detected gfx family, not
by rank -- rank ties would alphabetically hand every AMD GPU the gfx103X
bundle (e.g. a gfx1151 Strix Halo host)."""
GFX = ["gfx103X", "gfx110X", "gfx120X", "gfx1150", "gfx1151"]
MEMBERS = {
"gfx103X": ["gfx1030", "gfx1031", "gfx1032", "gfx1034"],
"gfx110X": ["gfx1100", "gfx1101", "gfx1102", "gfx1103"],
"gfx120X": ["gfx1200", "gfx1201"],
"gfx1150": ["gfx1150"],
"gfx1151": ["gfx1151"],
}
def _release(self, install_kind, prefix):
artifacts = [
make_artifact(
f"{prefix}-{gfx}.{'zip' if 'windows' in install_kind else 'tar.gz'}",
install_kind = install_kind,
runtime_line = None,
coverage_class = None,
supported_sms = [],
min_sm = None,
max_sm = None,
bundle_profile = None,
rank = 1000,
gfx_target = gfx,
mapped_targets = self.MEMBERS[gfx],
)
for gfx in self.GFX
]
return make_release(artifacts, upstream_tag = "b9457")
def _host(self, gfx):
return make_host(
machine = "x86_64",
nvidia_smi = None,
driver_cuda_version = None,
compute_caps = [],
has_physical_nvidia = False,
has_usable_nvidia = False,
has_rocm = True,
rocm_gfx_target = gfx,
)
def test_gfx1100_selects_gfx110X_family(self):
release = self._release("linux-rocm", "app-b9457-linux-x64-rocm")
choice = INSTALL_LLAMA_PREBUILT.published_rocm_choice_for_host(
release, self._host("gfx1100"), "linux-rocm"
)
assert choice is not None
assert choice.name == "app-b9457-linux-x64-rocm-gfx110X.tar.gz"
def test_gfx1151_strix_halo_not_handed_gfx103X(self):
release = self._release("linux-rocm", "app-b9457-linux-x64-rocm")
choice = INSTALL_LLAMA_PREBUILT.published_rocm_choice_for_host(
release, self._host("gfx1151"), "linux-rocm"
)
assert choice is not None
assert choice.name == "app-b9457-linux-x64-rocm-gfx1151.tar.gz"
def test_windows_rocm_gfx_match(self):
release = self._release("windows-rocm", "app-b9457-windows-x64-rocm")
choice = INSTALL_LLAMA_PREBUILT.published_rocm_choice_for_host(
release, self._host("gfx1201"), "windows-rocm"
)
assert choice is not None
assert choice.name == "app-b9457-windows-x64-rocm-gfx120X.zip"
def test_uncovered_gpu_returns_none(self):
release = self._release("linux-rocm", "app-b9457-linux-x64-rocm")
assert (
INSTALL_LLAMA_PREBUILT.published_rocm_choice_for_host(
release, self._host("gfx900"), "linux-rocm"
)
is None
)
def test_in_prefix_but_unbuilt_arch_returns_none(self):
# gfx1033 shares the gfx103 prefix but is not in any bundle's
# mapped_targets, so it must fall back to source, not be served gfx103X.
release = self._release("linux-rocm", "app-b9457-linux-x64-rocm")
for unbuilt in ("gfx1033", "gfx1035", "gfx1104", "gfx1202"):
assert (
INSTALL_LLAMA_PREBUILT.published_rocm_choice_for_host(
release, self._host(unbuilt), "linux-rocm"
)
is None
), unbuilt
def test_family_token_matches_family_bundle(self):
# The llama.cpp update path re-derives --rocm-gfx from the family-named
# marker asset, so it forwards a family token (gfx110X, lowercased to
# gfx110x by _normalize_forwarded_gfx), not a concrete arch. That must
# still select the family bundle instead of falling to a source build.
release = self._release("linux-rocm", "app-b9457-linux-x64-rocm")
for token in ("gfx110X", "gfx110x"):
choice = INSTALL_LLAMA_PREBUILT.published_rocm_choice_for_host(
release, self._host(token), "linux-rocm"
)
assert choice is not None, token
assert choice.name == "app-b9457-linux-x64-rocm-gfx110X.tar.gz", token
def test_windows_family_token_matches_family_bundle(self):
# The Windows update path forwards the same family token (gfx120X) for a
# windows-rocm bundle, so the family-label match must cover it too.
release = self._release("windows-rocm", "app-b9457-windows-x64-rocm")
choice = INSTALL_LLAMA_PREBUILT.published_rocm_choice_for_host(
release, self._host("gfx120x"), "windows-rocm"
)
assert choice is not None
assert choice.name == "app-b9457-windows-x64-rocm-gfx120X.zip"
class TestPublishedMacosForkSelection:
"""macOS now routes to the fork (setup.sh), which ships
llama-<tag>-bin-macos-<arch>.tar.gz with pinned deployment targets, selected
by install_kind."""
def _release(self):
arts = [
make_artifact(
"llama-b9457-bin-macos-arm64.tar.gz",
install_kind = "macos-arm64",
runtime_line = None,
coverage_class = None,
supported_sms = [],
min_sm = None,
max_sm = None,
bundle_profile = "macos-metal-arm64",
rank = 50,
),
make_artifact(
"llama-b9457-bin-macos-x64.tar.gz",
install_kind = "macos-x64",
runtime_line = None,
coverage_class = None,
supported_sms = [],
min_sm = None,
max_sm = None,
bundle_profile = "macos-cpu-x64",
rank = 50,
),
]
return make_release(arts, upstream_tag = "b9457")
def test_macos_arm64_selects_fork_bundle(self):
choice = INSTALL_LLAMA_PREBUILT.published_asset_choice_for_kind(
self._release(), "macos-arm64"
)
assert choice is not None
assert choice.name == "llama-b9457-bin-macos-arm64.tar.gz"
assert choice.install_kind == "macos-arm64"
def test_macos_x64_selects_fork_bundle(self):
choice = INSTALL_LLAMA_PREBUILT.published_asset_choice_for_kind(
self._release(), "macos-x64"
)
assert choice is not None
assert choice.name == "llama-b9457-bin-macos-x64.tar.gz"
# ===========================================================================
# N.1. apply_approved_hashes -- runtime archive checksum threading
# ===========================================================================
class TestApplyApprovedHashesRuntimePair:
"""Runtime archive must inherit a manifest hash, or be dropped."""
TAG = "b8508"
def _runtime_paired_attempt(self) -> AssetChoice:
return AssetChoice(
repo = "unslothai/llama.cpp",
tag = self.TAG,
name = f"llama-{self.TAG}-bin-win-cuda-13.1-x64.zip",
url = f"https://x/llama-{self.TAG}-bin-win-cuda-13.1-x64.zip",
source_label = "published",
install_kind = "windows-cuda",
runtime_line = "cuda13",
runtime_name = "cudart-llama-bin-win-cuda-13.1-x64.zip",
runtime_url = "https://x/cudart-llama-bin-win-cuda-13.1-x64.zip",
)
def test_runtime_hash_threaded_when_present(self):
attempt = self._runtime_paired_attempt()
checksums = ApprovedReleaseChecksums(
repo = "unslothai/llama.cpp",
release_tag = self.TAG,
upstream_tag = self.TAG,
artifacts = {
attempt.name: ApprovedArtifactHash(
asset_name = attempt.name,
sha256 = "0" * 64,
repo = "unslothai/llama.cpp",
kind = "windows-cuda",
),
"cudart-llama-bin-win-cuda-13.1-x64.zip": ApprovedArtifactHash(
asset_name = "cudart-llama-bin-win-cuda-13.1-x64.zip",
sha256 = "1" * 64,
repo = "unslothai/llama.cpp",
kind = "windows-cuda",
),
},
)
result = apply_approved_hashes([attempt], checksums)
assert len(result) == 1
assert result[0].expected_sha256 == "0" * 64
assert result[0].runtime_sha256 == "1" * 64
assert result[0].runtime_name == "cudart-llama-bin-win-cuda-13.1-x64.zip"
def test_runtime_pair_dropped_when_hash_missing(self):
# Drop the pair rather than install an unverified runtime.
attempt = self._runtime_paired_attempt()
checksums = ApprovedReleaseChecksums(
repo = "unslothai/llama.cpp",
release_tag = self.TAG,
upstream_tag = self.TAG,
artifacts = {
attempt.name: ApprovedArtifactHash(
asset_name = attempt.name,
sha256 = "0" * 64,
repo = "unslothai/llama.cpp",
kind = "windows-cuda",
),
},
)
result = apply_approved_hashes([attempt], checksums)
assert len(result) == 1
assert result[0].expected_sha256 == "0" * 64
assert result[0].runtime_url is None
assert result[0].runtime_name is None
assert result[0].runtime_sha256 is None
# ===========================================================================
# O. resolve_upstream_asset_choice -- platform routing
# ===========================================================================
class TestResolveUpstreamAssetChoice:
TAG = "b8508"
def _mock_github_assets(self, monkeypatch, assets):
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"github_release_assets",
lambda repo, tag: assets,
)
def test_linux_x86_64_cpu(self, monkeypatch):
name = f"llama-{self.TAG}-bin-ubuntu-x64.tar.gz"
self._mock_github_assets(monkeypatch, {name: f"https://x/{name}"})
host = make_host(has_usable_nvidia = False, nvidia_smi = None, has_physical_nvidia = False)
result = resolve_upstream_asset_choice(host, self.TAG)
assert result.install_kind == "linux-cpu"
assert result.name == name
def test_linux_cpu_missing(self, monkeypatch):
self._mock_github_assets(monkeypatch, {})
host = make_host(has_usable_nvidia = False, nvidia_smi = None, has_physical_nvidia = False)
with pytest.raises(PrebuiltFallback, match = "Linux CPU"):
resolve_upstream_asset_choice(host, self.TAG)
def test_windows_x86_64_cpu(self, monkeypatch):
name = f"llama-{self.TAG}-bin-win-cpu-x64.zip"
self._mock_github_assets(monkeypatch, {name: f"https://x/{name}"})
host = make_host(
system = "Windows",
machine = "AMD64",
has_usable_nvidia = False,
nvidia_smi = None,
has_physical_nvidia = False,
)
result = resolve_upstream_asset_choice(host, self.TAG)
assert result.install_kind == "windows-cpu"
assert result.name == name
def test_windows_cpu_missing(self, monkeypatch):
self._mock_github_assets(monkeypatch, {})
host = make_host(
system = "Windows",
machine = "AMD64",
has_usable_nvidia = False,
nvidia_smi = None,
has_physical_nvidia = False,
)
with pytest.raises(PrebuiltFallback, match = "Windows CPU"):
resolve_upstream_asset_choice(host, self.TAG)
def test_macos_arm64(self, monkeypatch):
name = f"llama-{self.TAG}-bin-macos-arm64.tar.gz"
self._mock_github_assets(monkeypatch, {name: f"https://x/{name}"})
host = make_host(
system = "Darwin",
machine = "arm64",
nvidia_smi = None,
driver_cuda_version = None,
compute_caps = [],
has_physical_nvidia = False,
has_usable_nvidia = False,
)
result = resolve_upstream_asset_choice(host, self.TAG)
assert result.install_kind == "macos-arm64"
assert result.name == name
def test_macos_arm64_missing(self, monkeypatch):
self._mock_github_assets(monkeypatch, {})
host = make_host(
system = "Darwin",
machine = "arm64",
nvidia_smi = None,
driver_cuda_version = None,
compute_caps = [],
has_physical_nvidia = False,
has_usable_nvidia = False,
)
with pytest.raises(PrebuiltFallback, match = "macOS arm64"):
resolve_upstream_asset_choice(host, self.TAG)
def test_macos_x86_64(self, monkeypatch):
name = f"llama-{self.TAG}-bin-macos-x64.tar.gz"
self._mock_github_assets(monkeypatch, {name: f"https://x/{name}"})
host = make_host(
system = "Darwin",
machine = "x86_64",
nvidia_smi = None,
driver_cuda_version = None,
compute_caps = [],
has_physical_nvidia = False,
has_usable_nvidia = False,
)
result = resolve_upstream_asset_choice(host, self.TAG)
assert result.install_kind == "macos-x64"
assert result.name == name
def test_linux_aarch64(self, monkeypatch):
self._mock_github_assets(monkeypatch, {})
host = make_host(
system = "Linux",
machine = "aarch64",
nvidia_smi = None,
driver_cuda_version = None,
compute_caps = [],
has_physical_nvidia = False,
has_usable_nvidia = False,
)
with pytest.raises(PrebuiltFallback, match = "no prebuilt policy exists for Linux aarch64"):
resolve_upstream_asset_choice(host, self.TAG)
def test_windows_usable_nvidia_delegates(self, monkeypatch):
cuda_name = f"llama-{self.TAG}-bin-win-cuda-12.4-x64.zip"
self._mock_github_assets(monkeypatch, {cuda_name: f"https://x/{cuda_name}"})
mock_windows_runtime(monkeypatch, ["cuda12"])
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"resolve_windows_cuda_choices",
lambda host, tag, assets: [
AssetChoice(
repo = UPSTREAM_REPO,
tag = tag,
name = cuda_name,
url = f"https://x/{cuda_name}",
source_label = "upstream",
install_kind = "windows-cuda",
runtime_line = "cuda12",
)
],
)
host = make_host(
system = "Windows",
machine = "AMD64",
driver_cuda_version = (12, 4),
has_usable_nvidia = True,
)
result = resolve_upstream_asset_choice(host, self.TAG)
assert result.install_kind == "windows-cuda"
assert result.name == cuda_name
# ===========================================================================
# N.2. Deterministic macOS prebuilt pin (b9415)
# ===========================================================================
def _macos_host(machine = "arm64", version = (15, 5)):
return make_host(
system = "Darwin",
machine = machine,
nvidia_smi = None,
driver_cuda_version = None,
compute_caps = [],
has_physical_nvidia = False,
has_usable_nvidia = False,
macos_version = version,
)
class TestPinnedMacosReleaseTag:
"""pinned_macos_release_tag: pin b9415 only for ggml-org upstream macOS hosts
below macOS 26; latest (None) for 26+, unknown version, the fork, non-macOS."""
def test_arm64_sequoia_pins_b9415(self):
host = _macos_host("arm64", (15, 5))
assert pinned_macos_release_tag(host, UPSTREAM_REPO) == "b9415"
def test_arm64_sonoma_pins_b9415(self):
host = _macos_host("arm64", (14, 7))
assert pinned_macos_release_tag(host, UPSTREAM_REPO) == "b9415"
def test_x64_ventura_13_3_pins_b9415(self):
# b9415's Intel slice is minos 13.3, so 13.3 Intel hosts still load it.
host = _macos_host("x86_64", (13, 3))
assert pinned_macos_release_tag(host, UPSTREAM_REPO) == "b9415"
def test_tahoe_26_0_takes_latest(self):
host = _macos_host("arm64", (26, 0))
assert pinned_macos_release_tag(host, UPSTREAM_REPO) is None
def test_tahoe_26_1_takes_latest(self):
host = _macos_host("arm64", (26, 1))
assert pinned_macos_release_tag(host, UPSTREAM_REPO) is None
def test_unknown_version_takes_latest(self):
host = _macos_host("arm64", None)
assert pinned_macos_release_tag(host, UPSTREAM_REPO) is None
def test_fork_repo_is_dormant(self):
# The unslothai/llama.cpp fork publishes its own minos-13.3 prebuilts.
host = _macos_host("arm64", (15, 5))
fork = INSTALL_LLAMA_PREBUILT.DEFAULT_PUBLISHED_REPO
assert pinned_macos_release_tag(host, fork) is None
def test_non_macos_host_is_dormant(self):
host = make_host(system = "Linux", machine = "x86_64")
assert pinned_macos_release_tag(host, UPSTREAM_REPO) is None
class TestResolveSimpleMacosPin:
"""End to end on the simple/upstream path macOS actually uses: a pre-26 host
deterministically resolves b9415 (no walk-back); a macOS 26 host takes the
latest release. Mirrors how setup.sh routes Darwin to ggml-org/llama.cpp."""
TAGS = ["b9442", "b9430", "b9428", "b9415"] # newest-first feed
def _feed(self, monkeypatch):
calls = []
def _release(tag):
name = f"llama-{tag}-bin-macos-arm64.tar.gz"
return {
"tag_name": tag,
"assets": [
{
"name": name,
"browser_download_url": f"https://example.com/{name}",
}
],
}
def fake_iter(
repo,
published_release_tag = "",
requested_tag = "",
):
calls.append((repo, published_release_tag, requested_tag))
# Emulate the real iterator: a specific tag yields only that release.
if requested_tag and requested_tag != "latest":
yield _release(requested_tag)
return
for tag in self.TAGS:
yield _release(tag)
monkeypatch.setattr(INSTALL_LLAMA_PREBUILT, "iter_release_payloads_by_time", fake_iter)
return calls
def test_pre26_host_pins_b9415_without_walkback(self, monkeypatch):
calls = self._feed(monkeypatch)
host = _macos_host("arm64", (15, 5))
requested_tag, plans = resolve_simple_install_release_plans(
"latest", host, "ggml-org/llama.cpp", ""
)
assert requested_tag == "b9415"
assert len(plans) == 1
assert plans[0].release_tag == "b9415"
assert plans[0].llama_tag == "b9415"
assert plans[0].attempts[0].install_kind == "macos-arm64"
assert plans[0].attempts[0].name == "llama-b9415-bin-macos-arm64.tar.gz"
# The pin overrode the requested tag before any release was fetched.
assert calls[0][2] == "b9415"
# Simple/upstream path stays unverified-by-manifest, exactly as before.
assert plans[0].approved_checksums.artifacts == {}
def test_tahoe_host_takes_latest_release(self, monkeypatch):
calls = self._feed(monkeypatch)
host = _macos_host("arm64", (26, 0))
requested_tag, plans = resolve_simple_install_release_plans(
"latest", host, "ggml-org/llama.cpp", ""
)
assert requested_tag == "latest"
assert plans[0].release_tag == "b9442"
# No pin: the iterator was asked for latest, not a specific tag.
assert calls[0][2] == "latest"
# ===========================================================================
# Linux arm64 + GPU must not install the x64-only fork bundle
# ===========================================================================
class TestLinuxArm64ForkFallsBackToSource:
"""The fork now ships linux-arm64-cuda bundles (GH200/GB200/DGX Spark). An
arm64 Linux host on the fork no longer hard-fails on the simple path; it
delegates to the manifest-aware resolver, which selects the arm64 CUDA
bundle (or falls back to source only if none matches)."""
def test_arm64_nvidia_fork_delegates_to_manifest_resolver(self, monkeypatch):
# arm64 fork hosts are no longer blocked up front; the simple resolver
# hands them to the manifest-aware resolver instead.
called = {}
def _full(llama_tag, host, repo, tag, **_kw):
called["args"] = (host.machine, repo)
return "b9457", ["plan"]
monkeypatch.setattr(INSTALL_LLAMA_PREBUILT, "_fork_manifest_release_plans", _full)
host = make_host(system = "Linux", machine = "aarch64")
tag, plans = resolve_simple_install_release_plans("latest", host, "unslothai/llama.cpp", "")
assert called.get("args") == ("aarch64", "unslothai/llama.cpp")
assert plans == ["plan"]
def test_x86_64_fork_delegates_to_manifest_resolver(self, monkeypatch):
# The old linux-x64 arch guard is gone: an x64 fork host is routed to the
# manifest resolver exactly like every other fork host, not down a
# separate filename-parsing path.
called = {}
def _full(llama_tag, host, repo, tag, **_kw):
called["args"] = (host.machine, repo)
return "b9457", ["plan"]
monkeypatch.setattr(INSTALL_LLAMA_PREBUILT, "_fork_manifest_release_plans", _full)
host = make_host(system = "Linux", machine = "x86_64")
tag, plans = resolve_simple_install_release_plans("latest", host, "unslothai/llama.cpp", "")
assert called.get("args") == ("x86_64", "unslothai/llama.cpp")
assert plans == ["plan"]
def test_arm64_cpu_on_ggml_org_is_not_blocked(self, monkeypatch):
# CPU-only arm64 routes to ggml-org (not the fork), so the guard must not
# fire; it reaches the iterator (empty here -> generic message).
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"iter_release_payloads_by_time",
lambda *_a, **_k: iter(()),
)
host = make_host(
system = "Linux",
machine = "aarch64",
nvidia_smi = None,
driver_cuda_version = None,
compute_caps = [],
has_physical_nvidia = False,
has_usable_nvidia = False,
)
with pytest.raises(PrebuiltFallback) as exc:
resolve_simple_install_release_plans("latest", host, "ggml-org/llama.cpp", "")
assert "linux-x64 prebuilts" not in str(exc.value)
# ===========================================================================
# arm64 Linux GPU: CPU prebuilt fallback after a failed source build (--cpu-fallback)
# ===========================================================================
class TestCpuFallback:
"""--cpu-fallback drops GPU attributes so the CPU prebuilt for the host's
OS/arch is selected, letting an arm64 GPU host install ggml-org's arm64 CPU
build as a last resort when its source build produced no binary."""
_SETUP_SH = PACKAGE_ROOT / "studio" / "setup.sh"
def _arm64_nvidia(self):
return make_host(
system = "Linux",
machine = "aarch64",
driver_cuda_version = (13, 0),
compute_caps = ["90"],
has_physical_nvidia = True,
has_usable_nvidia = True,
)
def test_force_cpu_drops_gpu_attrs_before_planning(self, monkeypatch, tmp_path):
captured = {}
def _capture(llama_tag, host, *a, **k):
captured["host"] = host
raise PrebuiltFallback("stop after capture")
monkeypatch.setattr(INSTALL_LLAMA_PREBUILT, "detect_host", self._arm64_nvidia)
monkeypatch.setattr(
INSTALL_LLAMA_PREBUILT,
"resolve_simple_install_release_plans",
_capture,
)
# install_prebuilt exits EXIT_FALLBACK on PrebuiltFallback; we only care
# about the host it handed to the resolver before that.
with pytest.raises(SystemExit):
INSTALL_LLAMA_PREBUILT.install_prebuilt(
install_dir = tmp_path / "llama",
llama_tag = "latest",
published_repo = "ggml-org/llama.cpp",
published_release_tag = "",
force_cpu = True,
)
host = captured["host"]
assert host.has_usable_nvidia is False
assert host.has_physical_nvidia is False
assert host.has_rocm is False
# Arch is preserved so the arm64 CPU bundle (not x64) is chosen.
assert host.is_arm64 is True
def test_cpu_forced_arm64_selects_ubuntu_arm64(self):
tag = "b9444"
release = {
"tag_name": tag,
"assets": [
{
"name": f"llama-{tag}-bin-ubuntu-arm64.tar.gz",
"browser_download_url": f"https://x/llama-{tag}-bin-ubuntu-arm64.tar.gz",
},
{
"name": f"llama-{tag}-bin-ubuntu-x64.tar.gz",
"browser_download_url": f"https://x/llama-{tag}-bin-ubuntu-x64.tar.gz",
},
],
}
# A GPU arm64 host cannot pick the CPU arm64 bundle on its own.
with pytest.raises(PrebuiltFallback):
direct_upstream_release_plan(
release, self._arm64_nvidia(), "ggml-org/llama.cpp", "latest"
)
# force_cpu drops the GPU attributes, so the CPU arm64 bundle is selected.
cpu_host = make_host(
system = "Linux",
machine = "aarch64",
nvidia_smi = None,
driver_cuda_version = None,
compute_caps = [],
has_physical_nvidia = False,
has_usable_nvidia = False,
)
plan = direct_upstream_release_plan(release, cpu_host, "ggml-org/llama.cpp", "latest")
assert plan.attempts[0].install_kind == "linux-arm64"
assert plan.attempts[0].name == f"llama-{tag}-bin-ubuntu-arm64.tar.gz"
def test_setup_sh_has_arm64_cpu_prebuilt_fallback(self):
source = self._SETUP_SH.read_text(encoding = "utf-8")
assert "--cpu-fallback" in source
# Fallback targets ggml-org (the only repo with an arm64 Linux build) and
# is gated on a degraded source build for arm64.
assert "ggml-org/llama.cpp" in source
assert "_LLAMA_CPP_DEGRADED" in source
# ===========================================================================
# setup.sh / setup.ps1: CUDA toolkit newer than driver diagnostics
# ===========================================================================
@pytest.mark.skipif(sys.platform == "win32", reason = "bash-only Studio installer tests")
class TestCudaDriverToolkitMismatchMessage:
_SETUP_SH = PACKAGE_ROOT / "studio" / "setup.sh"
_SETUP_PS1 = PACKAGE_ROOT / "studio" / "setup.ps1"
def _setup_sh_cuda_helper_fragment(self):
source = self._SETUP_SH.read_text(encoding = "utf-8")
start = source.index("_nvcc_meets_llama_minimum()")
end = source.index("print_llama_error_log()")
return source[start:end]
def _run_bash(
self,
script,
*,
env = None,
):
proc = subprocess.run(
["/bin/bash", "-c", script],
check = True,
text = True,
stdout = subprocess.PIPE,
stderr = subprocess.PIPE,
env = {**os.environ, **(env or {})},
)
return proc.stdout + proc.stderr
def _fake_nvidia_smi(self, tmp_path, output):
mock_bin = tmp_path / "bin"
mock_bin.mkdir()
nvidia_smi = mock_bin / "nvidia-smi"
nvidia_smi.write_text(
textwrap.dedent(
f"""\
#!/usr/bin/env bash
cat <<'OUT'
{output}
OUT
"""
),
encoding = "utf-8",
)
nvidia_smi.chmod(0o755)
return mock_bin
def test_setup_sh_same_major_minor_mismatch_is_accepted(self, tmp_path):
mock_bin = self._fake_nvidia_smi(
tmp_path,
"| NVIDIA-SMI 580.95 Driver Version: 580.95 CUDA Version: 13.1 |",
)
script = textwrap.dedent(
f"""\
set -euo pipefail
C_WARN=
substep() {{ printf '%s\\n' "$1"; }}
{self._setup_sh_cuda_helper_fragment()}
_driver="$(_cuda_driver_max_version)"
if _cuda_toolkit_major_gt_driver "13.3" "$_driver"; then
_print_cuda_driver_toolkit_mismatch "13.3" "$_driver"
else
printf 'compatible:%s\\n' "$_driver"
fi
"""
)
output = self._run_bash(
script,
env = {"PATH": f"{mock_bin}:{os.environ.get('PATH', '')}"},
)
assert "compatible:13.1" in output
assert "major-version mismatch" not in output
def test_setup_sh_driver_major_too_old_message_names_major_mismatch(self, tmp_path):
mock_bin = self._fake_nvidia_smi(
tmp_path,
"| NVIDIA-SMI 570.95 Driver Version: 570.95 CUDA Version: 12.9 |",
)
script = textwrap.dedent(
f"""\
set -euo pipefail
C_WARN=
substep() {{ printf '%s\\n' "$1"; }}
{self._setup_sh_cuda_helper_fragment()}
_driver="$(_cuda_driver_max_version)"
if _cuda_toolkit_major_gt_driver "13.3" "$_driver"; then
_print_cuda_driver_toolkit_mismatch "13.3" "$_driver"
fi
"""
)
output = self._run_bash(
script,
env = {"PATH": f"{mock_bin}:{os.environ.get('PATH', '')}"},
)
assert (
"CUDA Toolkit 13.3 is a major-version mismatch: toolkit major 13 "
"exceeds driver CUDA major 12 (12.9)."
) in output
assert (
"Update the NVIDIA GPU driver to run CUDA Toolkit 13.3, or install "
"a CUDA 12.x toolkit."
) in output
assert "prebuilt CUDA bundle" in output
def test_setup_sh_happy_path_does_not_print_mismatch(self, tmp_path):
mock_bin = self._fake_nvidia_smi(
tmp_path,
"| NVIDIA-SMI 580.95 Driver Version: 580.95 CUDA Version: 13.3 |",
)
script = textwrap.dedent(
f"""\
set -euo pipefail
C_WARN=
substep() {{ printf '%s\\n' "$1"; }}
{self._setup_sh_cuda_helper_fragment()}
_driver="$(_cuda_driver_max_version)"
if _cuda_toolkit_major_gt_driver "13.3" "$_driver"; then
_print_cuda_driver_toolkit_mismatch "13.3" "$_driver"
else
printf 'compatible:%s\\n' "$_driver"
fi
"""
)
output = self._run_bash(
script,
env = {"PATH": f"{mock_bin}:{os.environ.get('PATH', '')}"},
)
assert "compatible:13.3" in output
assert "Unsloth supports CUDA Toolkit" not in output
def test_setup_sh_skips_check_without_nvidia_smi(self, tmp_path):
empty_bin = tmp_path / "empty-bin"
empty_bin.mkdir()
script = textwrap.dedent(
f"""\
set -euo pipefail
C_WARN=
substep() {{ printf '%s\\n' "$1"; }}
{self._setup_sh_cuda_helper_fragment()}
_driver="$(_cuda_driver_max_version)"
if [ -n "$_driver" ] && _cuda_toolkit_major_gt_driver "13.3" "$_driver"; then
_print_cuda_driver_toolkit_mismatch "13.3" "$_driver"
else
printf 'skipped\\n'
fi
"""
)
output = self._run_bash(script, env = {"PATH": str(empty_bin)})
assert "skipped" in output
assert "Unsloth supports CUDA Toolkit" not in output
def test_setup_sh_unparsable_nvidia_smi_output_falls_back(self, tmp_path):
mock_bin = self._fake_nvidia_smi(
tmp_path,
"| NVIDIA-SMI 580.95 Driver Version: 580.95 CUDA Version: N/A |",
)
script = textwrap.dedent(
f"""\
set -euo pipefail
C_WARN=
substep() {{ printf '%s\\n' "$1"; }}
{self._setup_sh_cuda_helper_fragment()}
_driver="$(_cuda_driver_max_version)"
if [ -n "$_driver" ] && _cuda_toolkit_major_gt_driver "13.3" "$_driver"; then
_print_cuda_driver_toolkit_mismatch "13.3" "$_driver"
else
printf 'fallback:%s\\n' "${{_driver:-generic}}"
fi
"""
)
output = self._run_bash(
script,
env = {"PATH": f"{mock_bin}:{os.environ.get('PATH', '')}"},
)
assert "fallback:generic" in output
assert "Unsloth supports CUDA Toolkit" not in output
def test_setup_sh_cuda_version_gt_compares_numerically(self):
# 13.9 vs 13.10 is where a lexical compare goes wrong (9 > 1).
script = textwrap.dedent(
f"""\
set -euo pipefail
{self._setup_sh_cuda_helper_fragment()}
for pair in "13.9 13.10" "13.10 13.9" "14.0 13.9" "13.3 13.3"; do
if _cuda_version_gt $pair; then r=gt; else r=le; fi
printf '%s -> %s\\n' "$pair" "$r"
done
"""
)
output = self._run_bash(script)
assert "13.9 13.10 -> le" in output
assert "13.10 13.9 -> gt" in output
assert "14.0 13.9 -> gt" in output
assert "13.3 13.3 -> le" in output
def test_setup_ps1_mirrors_driver_mismatch_guidance(self):
source = self._SETUP_PS1.read_text(encoding = "utf-8")
assert "Write-CudaDriverToolkitMismatch" in source
assert (
"CUDA Toolkit $ToolkitVersion is a major-version mismatch: toolkit "
"major $toolkitMajor exceeds driver CUDA major $driverMajor"
) in source
assert (
"Update the NVIDIA GPU driver to run CUDA Toolkit $ToolkitVersion, "
"or install a CUDA $driverMajor.x toolkit." in source
)
assert (
"Or let Studio use the prebuilt CUDA bundle; it does not need the local toolkit."
) in source
assert (
"Write-CudaDriverToolkitMismatch -ToolkitVersion $IncompatibleToolkit "
"-DriverMaxCuda $DriverMaxCuda"
) in source
def _fake_nvcc(self, tmp_path, release):
mock_bin = tmp_path / f"nvcc-bin-{release.replace('.', '-')}"
mock_bin.mkdir()
nvcc = mock_bin / "nvcc"
nvcc.write_text(
textwrap.dedent(
f"""\
#!/usr/bin/env bash
printf '%s\\n' 'Cuda compilation tools, release {release}, V{release}.0'
"""
),
encoding = "utf-8",
)
nvcc.chmod(0o755)
return nvcc
def test_setup_sh_major_mismatch_uses_newest_compatible_detected_toolkit(self, tmp_path):
blocked_nvcc = self._fake_nvcc(tmp_path, "13.3")
older_nvcc = self._fake_nvcc(tmp_path, "12.6")
compatible_nvcc = self._fake_nvcc(tmp_path, "12.8")
script = textwrap.dedent(
f"""\
set -euo pipefail
C_WARN=
substep() {{ printf '%s\\n' "$1"; }}
{self._setup_sh_cuda_helper_fragment()}
_cuda_nvcc_candidate_paths() {{
printf '%s\\n' "{blocked_nvcc}" "{older_nvcc}" "{compatible_nvcc}"
}}
NVCC_PATH="{blocked_nvcc}"
GPU_BACKEND="cuda"
_BUILD_DESC="building"
_NVCC_CHECK="$(_nvcc_meets_llama_minimum "$NVCC_PATH")"
_NVCC_STATUS="$(printf '%s\\n' "$_NVCC_CHECK" | sed -n '1p')"
_NVCC_VER="$(printf '%s\\n' "$_NVCC_CHECK" | sed -n '2p')"
_DRIVER_MAX_CUDA="12.9"
_CUDA_TOOLKIT_ALLOWED=true
if [ "$_NVCC_STATUS" != "too_old" ] && \
[ -n "$_NVCC_VER" ] && \
_cuda_toolkit_major_gt_driver "$_NVCC_VER" "$_DRIVER_MAX_CUDA"; then
_BLOCKED_NVCC_VER="$_NVCC_VER"
if _ALT_NVCC_CHECK="$(_cuda_find_compatible_nvcc_for_driver "$_DRIVER_MAX_CUDA" "$NVCC_PATH")"; then
NVCC_PATH="$(printf '%s\\n' "$_ALT_NVCC_CHECK" | sed -n '1p')"
_NVCC_VER="$(printf '%s\\n' "$_ALT_NVCC_CHECK" | sed -n '2p')"
GPU_BACKEND="cuda"
substep "CUDA Toolkit $_BLOCKED_NVCC_VER is a major-version mismatch with driver CUDA $_DRIVER_MAX_CUDA; using compatible CUDA Toolkit $_NVCC_VER at $NVCC_PATH."
else
NVCC_PATH=""
GPU_BACKEND=""
_BUILD_DESC="building (CPU, CUDA toolkit major > driver)"
_CUDA_TOOLKIT_ALLOWED=false
fi
fi
printf 'NVCC_PATH=%s\\n' "$NVCC_PATH"
printf 'NVCC_VER=%s\\n' "$_NVCC_VER"
printf 'GPU_BACKEND=%s\\n' "$GPU_BACKEND"
printf 'BUILD_DESC=%s\\n' "$_BUILD_DESC"
printf 'ALLOWED=%s\\n' "$_CUDA_TOOLKIT_ALLOWED"
"""
)
output = self._run_bash(script)
assert f"NVCC_PATH={compatible_nvcc}" in output
assert "NVCC_VER=12.8" in output
assert "GPU_BACKEND=cuda" in output
assert "ALLOWED=true" in output
assert "CPU" not in output
def test_setup_sh_parses_cuda_umd_version_variant(self, tmp_path):
# Newer drivers report "CUDA UMD Version"; the helper must read it too.
mock_bin = self._fake_nvidia_smi(
tmp_path,
"| NVIDIA-SMI 610.00 Driver Version: 610.00 CUDA UMD Version: 13.0 |",
)
script = textwrap.dedent(
f"""\
set -euo pipefail
{self._setup_sh_cuda_helper_fragment()}
printf '%s' "$(_cuda_driver_max_version)"
"""
)
output = self._run_bash(
script,
env = {"PATH": f"{mock_bin}:{os.environ.get('PATH', '')}"},
)
assert output.strip() == "13.0"
def test_setup_sh_empty_toolkit_version_skips_mismatch(self, tmp_path):
# The real guard requires a non-empty nvcc version before warning.
mock_bin = self._fake_nvidia_smi(
tmp_path,
"| NVIDIA-SMI 580.95 Driver Version: 580.95 CUDA Version: 13.0 |",
)
script = textwrap.dedent(
f"""\
set -euo pipefail
C_WARN=
substep() {{ printf '%s\\n' "$1"; }}
{self._setup_sh_cuda_helper_fragment()}
_nvcc=""
_driver="$(_cuda_driver_max_version)"
if [ -n "$_nvcc" ] && [ -n "$_driver" ] && _cuda_toolkit_major_gt_driver "$_nvcc" "$_driver"; then
_print_cuda_driver_toolkit_mismatch "$_nvcc" "$_driver"
else
printf 'skipped\\n'
fi
"""
)
output = self._run_bash(
script,
env = {"PATH": f"{mock_bin}:{os.environ.get('PATH', '')}"},
)
assert "skipped" in output
assert "Unsloth supports CUDA Toolkit" not in output
def test_setup_sh_nvcc_below_minimum_is_too_old(self, tmp_path):
# CUDA toolkit < 12.4 short-circuits to the too_old branch (no mismatch).
nvcc = self._fake_nvcc(tmp_path, "12.0")
script = textwrap.dedent(
f"""\
set -euo pipefail
{self._setup_sh_cuda_helper_fragment()}
_nvcc_meets_llama_minimum "{nvcc}"
"""
)
output = self._run_bash(script)
assert output.splitlines()[0] == "too_old"
assert "12.0" in output
def test_setup_sh_compatible_finder_rejects_too_old_only_candidate(self, tmp_path):
# Only candidate is below the llama minimum: finder must fail (CPU fallback), not pick 12.0.
blocked_nvcc = self._fake_nvcc(tmp_path, "13.3")
too_old_nvcc = self._fake_nvcc(tmp_path, "12.0")
script = textwrap.dedent(
f"""\
set -euo pipefail
{self._setup_sh_cuda_helper_fragment()}
_cuda_nvcc_candidate_paths() {{
printf '%s\\n' "{blocked_nvcc}" "{too_old_nvcc}"
}}
if _ALT="$(_cuda_find_compatible_nvcc_for_driver "12.9" "{blocked_nvcc}")"; then
printf 'FOUND:%s\\n' "$_ALT"
else
printf 'NONE\\n'
fi
"""
)
output = self._run_bash(script)
assert "NONE" in output
assert "FOUND" not in output
def _cuda_build_decision_output(self, *, nvcc_path, driver):
# Mirror setup.sh's source-build decision: keep the toolkit, switch, or degrade to CPU.
script = textwrap.dedent(
f"""\
set -euo pipefail
C_WARN=
substep() {{ printf '%s\\n' "$1"; }}
{self._setup_sh_cuda_helper_fragment()}
NVCC_PATH="{nvcc_path}"
GPU_BACKEND="cuda"
_DRIVER_MAX_CUDA="{driver}"
_NVCC_CHECK="$(_nvcc_meets_llama_minimum "$NVCC_PATH")"
_NVCC_STATUS="$(printf '%s\\n' "$_NVCC_CHECK" | sed -n '1p')"
_NVCC_VER="$(printf '%s\\n' "$_NVCC_CHECK" | sed -n '2p')"
_CUDA_TOOLKIT_ALLOWED=true
if [ "$_NVCC_STATUS" = "too_old" ]; then
NVCC_PATH=""; GPU_BACKEND=""; _CUDA_TOOLKIT_ALLOWED=false
elif [ -n "$_NVCC_VER" ] && [ -n "$_DRIVER_MAX_CUDA" ] && _cuda_toolkit_major_gt_driver "$_NVCC_VER" "$_DRIVER_MAX_CUDA"; then
if _ALT="$(_cuda_find_compatible_nvcc_for_driver "$_DRIVER_MAX_CUDA" "$NVCC_PATH")"; then
NVCC_PATH="$(printf '%s\\n' "$_ALT" | sed -n '1p')"
_NVCC_VER="$(printf '%s\\n' "$_ALT" | sed -n '2p')"
else
NVCC_PATH=""; GPU_BACKEND=""; _CUDA_TOOLKIT_ALLOWED=false
fi
fi
printf 'NVCC_PATH=%s\\n' "$NVCC_PATH"
printf 'NVCC_VER=%s\\n' "$_NVCC_VER"
printf 'GPU_BACKEND=%s\\n' "$GPU_BACKEND"
printf 'ALLOWED=%s\\n' "$_CUDA_TOOLKIT_ALLOWED"
"""
)
return self._run_bash(script)
def test_setup_sh_same_major_newer_minor_keeps_original_toolkit(self, tmp_path):
# Same-major newer-minor (13.3 vs driver 13.0): build CUDA with it, never fall back.
toolkit = self._fake_nvcc(tmp_path, "13.3")
output = self._cuda_build_decision_output(nvcc_path = toolkit, driver = "13.0")
assert f"NVCC_PATH={toolkit}" in output
assert "NVCC_VER=13.3" in output
assert "GPU_BACKEND=cuda" in output
assert "ALLOWED=true" in output
def test_setup_sh_missing_driver_version_still_enables_cuda(self, tmp_path):
# No driver CUDA version from nvidia-smi: keep CUDA enabled (pre-fix behavior), not CPU.
toolkit = self._fake_nvcc(tmp_path, "13.3")
output = self._cuda_build_decision_output(nvcc_path = toolkit, driver = "")
assert f"NVCC_PATH={toolkit}" in output
assert "GPU_BACKEND=cuda" in output
assert "ALLOWED=true" in output
def test_setup_sh_compatible_finder_rejects_newer_major_only_candidate(self, tmp_path):
# Only alternative is still newer-major than the driver: finder must fail, not pick it.
blocked_nvcc = self._fake_nvcc(tmp_path, "13.3")
other_newer_nvcc = self._fake_nvcc(tmp_path, "13.1")
script = textwrap.dedent(
f"""\
set -euo pipefail
{self._setup_sh_cuda_helper_fragment()}
_cuda_nvcc_candidate_paths() {{
printf '%s\\n' "{blocked_nvcc}" "{other_newer_nvcc}"
}}
if _ALT="$(_cuda_find_compatible_nvcc_for_driver "12.9" "{blocked_nvcc}")"; then
printf 'FOUND:%s\\n' "$_ALT"
else
printf 'NONE\\n'
fi
"""
)
output = self._run_bash(script)
assert "NONE" in output
assert "FOUND" not in output
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