unsloth/studio/install_python_stack.py
Daniel Han dfb3eedf77
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ci: broaden Linux + narrow Windows llama.cpp runtime patterns + trim #5741 comments (#5746)
* ci: broaden Linux llama.cpp runtime pattern to lib*.so*

#5741 patched the explicit Linux pattern list to add
``libllama-*-impl.so*`` after ggml-org/llama.cpp#23462 (between
b9279 and b9283) split each binary's entry code into a paired
``lib<binary>-impl.so`` shared library. Same class of upstream
repackaging will hit us again whenever a new shared lib is added.

Mirror what macOS already does and replace the per-lib list with a
single ``lib*.so*`` glob. ``copy_globs`` (line 3614) unions
patterns, so the per-variant ``libggml-cuda.so*`` / ``libggml-hip.so*``
entries were never filtering anything; the spec lives in
``runtime_payload_health_groups`` (line 5209) which keeps the
explicit minimum-required list per variant.

Dry-run against b9296-bin-ubuntu-x64.tar.gz: 40 files copied (all
ggml, llama, mtmd, impl variants + the two binaries we ship), 22
skipped (other CLIs, rpc-server, LICENSE). Functionally equal to
the post-#5741 set.

* cleanup: trim #5741 comments on the pydantic split

Comments added in #5741 explained the original bug in full each
time. They are mostly redundant with the commit message and the PR.
Trim them to one short paragraph per site.

No behavior change.

* ci: narrow Windows runtime pattern to llama-server.exe + llama-quantize.exe

Studio only invokes llama-server and llama-quantize. Mac and Linux
already filter to those two binaries; Windows was the odd one out
with ``*.exe`` copying every CLI upstream ships (llama-cli,
llama-bench, llama-mtmd-cli, ...).

Dry-run on b9296 (win cpu-x64, cpu-arm64, cuda-13.1, hip-radeon):
20 unused EXEs skipped per variant, all DLLs (incl. the new
llama-*-impl.dll family) still copied via ``*.dll``.

``existing_install_matches_choice`` already checks llama-server.exe
exists explicitly (line 5297), so the health gate is unchanged.
2026-05-23 21:48:12 -07:00

1264 lines
43 KiB
Python

#!/usr/bin/env python3
# SPDX-License-Identifier: AGPL-3.0-only
# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0
"""Cross-platform Python dependency installer for Unsloth Studio.
Called by both setup.sh (Linux / WSL) and setup.ps1 (Windows) after the
virtual environment is already activated. Expects `pip` and `python` on
PATH to point at the venv.
"""
from __future__ import annotations
import os
import platform
import shutil
import subprocess
import sys
import tempfile
import urllib.request
from pathlib import Path
_BACKEND_DIR = Path(__file__).resolve().parent / "backend"
if str(_BACKEND_DIR) not in sys.path:
sys.path.insert(1, str(_BACKEND_DIR))
from backend.utils.wheel_utils import (
flash_attn_package_version,
flash_attn_wheel_url,
has_blackwell_gpu,
install_wheel,
probe_torch_wheel_env,
url_exists,
)
IS_WINDOWS = sys.platform == "win32"
IS_MACOS = sys.platform == "darwin"
IS_MAC_INTEL = IS_MACOS and platform.machine() == "x86_64"
# ── ROCm / AMD GPU support ─────────────────────────────────────────────────────
# Mapping from detected ROCm (major, minor) to the best PyTorch wheel tag on
# download.pytorch.org. Entries are checked newest-first (>=).
# ROCm 7.2 only has torch 2.11.0 on download.pytorch.org, which exceeds the
# current torch upper bound (<2.11.0). Fall back to rocm7.1 (torch 2.10.0).
# TODO: uncomment rocm7.2 when torch upper bound is bumped to >=2.11.0
_ROCM_TORCH_INDEX: dict[tuple[int, int], str] = {
# (7, 2): "rocm7.2", # torch 2.11.0 -- requires torch>=2.11
(7, 1): "rocm7.1",
(7, 0): "rocm7.0",
(6, 4): "rocm6.4",
(6, 3): "rocm6.3",
(6, 2): "rocm6.2",
(6, 1): "rocm6.1",
(6, 0): "rocm6.0",
}
_PYTORCH_WHL_BASE = (
os.environ.get("UNSLOTH_PYTORCH_MIRROR") or "https://download.pytorch.org/whl"
).rstrip("/")
# bitsandbytes continuous-release_main wheels with the ROCm 4-bit GEMV fix
# (bnb PR #1887, post-0.49.2). bnb <= 0.49.2 NaNs at decode shape on every
# AMD GPU. Drop the pin once bnb 0.50+ ships on PyPI.
_BNB_ROCM_PRERELEASE_URLS: dict[str, str] = {
"x86_64": (
"https://github.com/bitsandbytes-foundation/bitsandbytes/releases/"
"download/continuous-release_main/"
"bitsandbytes-1.33.7.preview-py3-none-manylinux_2_24_x86_64.whl"
),
"aarch64": (
"https://github.com/bitsandbytes-foundation/bitsandbytes/releases/"
"download/continuous-release_main/"
"bitsandbytes-1.33.7.preview-py3-none-manylinux_2_24_aarch64.whl"
),
}
_BNB_ROCM_PYPI_FALLBACK = "bitsandbytes>=0.49.1"
def _bnb_rocm_prerelease_url() -> str | None:
"""Return the continuous-release_main bnb wheel URL for the current
architecture, or None when no pre-release wheel is available.
"""
arch = platform.machine().lower()
arch = {"amd64": "x86_64", "arm64": "aarch64"}.get(arch, arch)
return _BNB_ROCM_PRERELEASE_URLS.get(arch)
def _detect_rocm_version() -> tuple[int, int] | None:
"""Return (major, minor) of the installed ROCm stack, or None."""
# Check /opt/rocm/.info/version or ROCM_PATH equivalent
rocm_root = os.environ.get("ROCM_PATH") or "/opt/rocm"
for path in (
os.path.join(rocm_root, ".info", "version"),
os.path.join(rocm_root, "lib", "rocm_version"),
):
try:
with open(path) as fh:
parts = fh.read().strip().split("-")[0].split(".")
# Explicit length guard avoids relying on the broad except
# below to swallow IndexError when the version file contains
# a single component (e.g. "6\n" on a partial install).
if len(parts) >= 2:
return int(parts[0]), int(parts[1])
except Exception:
pass
# Try amd-smi version (outputs "... | ROCm version: X.Y.Z")
amd_smi = shutil.which("amd-smi")
if amd_smi:
try:
result = subprocess.run(
[amd_smi, "version"],
stdout = subprocess.PIPE,
stderr = subprocess.DEVNULL,
text = True,
timeout = 5,
)
if result.returncode == 0:
import re
m = re.search(r"ROCm version:\s*(\d+)\.(\d+)", result.stdout)
if m:
return int(m.group(1)), int(m.group(2))
except Exception:
pass
# Try hipconfig --version (outputs bare version like "6.3.21234.2")
hipconfig = shutil.which("hipconfig")
if hipconfig:
try:
result = subprocess.run(
[hipconfig, "--version"],
stdout = subprocess.PIPE,
stderr = subprocess.DEVNULL,
timeout = 5,
)
if result.returncode == 0:
raw = result.stdout.decode().strip().split("\n")[0]
parts = raw.split(".")
if (
len(parts) >= 2
and parts[0].isdigit()
and parts[1].split("-")[0].isdigit()
):
return int(parts[0]), int(parts[1].split("-")[0])
except Exception:
pass
# Distro package-manager fallbacks. Package-managed ROCm installs can
# expose GPUs via rocminfo / amd-smi but still lack /opt/rocm/.info/version
# and hipconfig, so probe dpkg (Debian/Ubuntu) and rpm (RHEL/Fedora/SUSE)
# for the rocm-core package version. Matches the chain in
# install.sh::get_torch_index_url so `unsloth studio update` behaves
# the same as a fresh `curl | sh` install.
import re as _re_pkg
for cmd in (
["dpkg-query", "-W", "-f=${Version}\n", "rocm-core"],
["rpm", "-q", "--qf", "%{VERSION}\n", "rocm-core"],
):
exe = shutil.which(cmd[0])
if not exe:
continue
try:
result = subprocess.run(
[exe, *cmd[1:]],
stdout = subprocess.PIPE,
stderr = subprocess.DEVNULL,
text = True,
timeout = 5,
)
except Exception:
continue
if result.returncode != 0 or not result.stdout.strip():
continue
raw = result.stdout.strip()
# dpkg can prepend an epoch ("1:6.3.0-1"); strip it before parsing.
raw = _re_pkg.sub(r"^\d+:", "", raw)
m = _re_pkg.match(r"(\d+)[.-](\d+)", raw)
if m:
return int(m.group(1)), int(m.group(2))
return None
def _has_rocm_gpu() -> bool:
"""Return True only if an actual AMD GPU is visible (not just ROCm tools installed)."""
import re
for cmd, check_fn in (
# rocminfo: look for a real gfx GPU id (3-4 chars, nonzero first digit).
# gfx000 is the CPU agent; ROCm 6.1+ also emits generic ISA lines like
# "gfx11-generic" or "gfx9-4-generic" which only have 1-2 digits before
# the dash and must not be treated as a real GPU.
(
["rocminfo"],
lambda out: bool(re.search(r"gfx[1-9][0-9a-z]{2,3}", out.lower())),
),
# amd-smi list: require "GPU: <number>" data rows, not just a header
(
["amd-smi", "list"],
lambda out: bool(re.search(r"(?im)^gpu\s*[:\[]\s*\d", out)),
),
):
exe = shutil.which(cmd[0])
if not exe:
continue
try:
result = subprocess.run(
[exe, *cmd[1:]],
stdout = subprocess.PIPE,
stderr = subprocess.DEVNULL,
text = True,
timeout = 10,
)
except Exception:
continue
if result.returncode == 0 and result.stdout.strip():
if check_fn(result.stdout):
return True
return False
def _has_usable_nvidia_gpu() -> bool:
"""Return True only when nvidia-smi exists AND reports at least one GPU."""
exe = shutil.which("nvidia-smi")
if not exe:
return False
try:
result = subprocess.run(
[exe, "-L"],
stdout = subprocess.PIPE,
stderr = subprocess.DEVNULL,
text = True,
timeout = 10,
)
except Exception:
return False
return result.returncode == 0 and "GPU " in result.stdout
def _ensure_rocm_torch() -> None:
"""Reinstall torch with ROCm wheels when the venv received CPU-only torch.
Runs only on Linux x86_64 hosts where an AMD GPU is present and the
ROCm runtime is detectable (rocminfo / amd-smi / hipconfig /
rocm-core package). No-op when torch already links against HIP
(ROCm), on Windows / macOS, on non-x86_64 Linux (PyTorch does not
publish ROCm wheels for aarch64 / arm64), or on mixed AMD+NVIDIA
hosts (NVIDIA takes precedence).
Uses pip_install() to respect uv, constraints, and --python targeting.
"""
# Explicit OS / architecture guards so the helper is safe to call
# from any context -- PyTorch only publishes ROCm wheels for
# linux_x86_64, so aarch64 / arm64 hosts must skip this repair path
# instead of failing the update with a missing-wheel error.
if IS_WINDOWS or IS_MACOS:
return
if platform.machine().lower() not in {"x86_64", "amd64"}:
return
# NVIDIA takes precedence on mixed hosts -- but only if an actual GPU is usable
if _has_usable_nvidia_gpu():
return
# Rely on _has_rocm_gpu() (rocminfo / amd-smi GPU data rows) as the
# authoritative "is this actually an AMD ROCm host?" signal. The old
# gate required /opt/rocm or hipcc to exist, which breaks on
# runtime-only ROCm installs (package-managed minimal installs,
# Radeon software) that ship amd-smi/rocminfo without /opt/rocm or
# hipcc, and leaves `unsloth studio update` unable to repair a
# CPU-only venv on those systems.
if not _has_rocm_gpu():
return # no AMD GPU visible
ver = _detect_rocm_version()
if ver is None:
print(" ROCm detected but version unreadable -- skipping torch reinstall")
return
# Probe whether torch already links against HIP (ROCm is already working).
# Do NOT skip for CUDA-only builds since they are unusable on AMD-only
# hosts (the NVIDIA check above already handled mixed AMD+NVIDIA setups).
try:
probe = subprocess.run(
[
sys.executable,
"-c",
"import torch; print(getattr(torch.version,'hip','') or '')",
],
stdout = subprocess.PIPE,
stderr = subprocess.DEVNULL,
timeout = 30,
)
except (OSError, subprocess.TimeoutExpired):
probe = None
has_hip_torch = (
probe is not None
and probe.returncode == 0
and probe.stdout.decode().strip() != ""
)
rocm_torch_ready = has_hip_torch
if not has_hip_torch:
# Select best matching wheel tag (newest ROCm version <= installed)
tag = next(
(
t
for (maj, mn), t in sorted(_ROCM_TORCH_INDEX.items(), reverse = True)
if ver >= (maj, mn)
),
None,
)
if tag is None:
print(
f" No PyTorch wheel for ROCm {ver[0]}.{ver[1]} -- "
f"skipping torch reinstall"
)
else:
index_url = f"{_PYTORCH_WHL_BASE}/{tag}"
print(f" ROCm {ver[0]}.{ver[1]} -- installing torch from {index_url}")
pip_install(
f"ROCm torch ({tag})",
"--force-reinstall",
"--no-cache-dir",
"torch>=2.4,<2.11.0",
"torchvision<0.26.0",
"torchaudio<2.11.0",
"--index-url",
index_url,
constrain = False,
)
rocm_torch_ready = True
# Install bitsandbytes only when torch links against ROCm. Prefers the
# continuous-release_main wheel (bnb PR #1887 4-bit GEMV fix) and falls
# back to PyPI when the pre-release URL is unreachable.
if rocm_torch_ready:
_bnb_url = _bnb_rocm_prerelease_url()
_bnb_installed = False
if _bnb_url is not None:
_bnb_installed = pip_install_try(
"bitsandbytes (AMD, pre-release main)",
"--force-reinstall",
"--no-cache-dir",
"--no-deps",
_bnb_url,
constrain = False,
)
if not _bnb_installed:
print(
_red(
" bnb pre-release unreachable; falling back to PyPI "
"(4-bit decode will be broken on ROCm)"
)
)
if not _bnb_installed:
pip_install(
"bitsandbytes (AMD)",
"--force-reinstall",
"--no-cache-dir",
"--no-deps",
_BNB_ROCM_PYPI_FALLBACK,
constrain = False,
)
def _uv_safe_path(path: object) -> str:
# uv 0.11.x: `-c <path with space>` truncates at the space; use 8.3 short form.
s = str(path)
if not IS_WINDOWS or " " not in s:
return s
try:
import ctypes
from ctypes import wintypes
get_short = ctypes.windll.kernel32.GetShortPathNameW
get_short.argtypes = [wintypes.LPCWSTR, wintypes.LPWSTR, wintypes.DWORD]
get_short.restype = wintypes.DWORD
buf = ctypes.create_unicode_buffer(32768)
rc = get_short(s, buf, 32768)
if 0 < rc < 32768 and " " not in buf.value:
return buf.value
except Exception:
pass
return s
def _windows_hidden_subprocess_kwargs() -> dict[str, object]:
"""Return Windows-only subprocess kwargs that suppress console windows."""
if not IS_WINDOWS:
return {}
kwargs: dict[str, object] = {}
create_no_window = getattr(subprocess, "CREATE_NO_WINDOW", 0)
if create_no_window:
kwargs["creationflags"] = create_no_window
startupinfo_factory = getattr(subprocess, "STARTUPINFO", None)
startf_use_showwindow = getattr(subprocess, "STARTF_USESHOWWINDOW", 0)
sw_hide = getattr(subprocess, "SW_HIDE", 0)
if startupinfo_factory is not None and startf_use_showwindow:
startupinfo = startupinfo_factory()
startupinfo.dwFlags |= startf_use_showwindow
startupinfo.wShowWindow = sw_hide
kwargs["startupinfo"] = startupinfo
return kwargs
def _infer_no_torch() -> bool:
"""Determine whether to run in no-torch (GGUF-only) mode.
Checks UNSLOTH_NO_TORCH env var first. When unset, falls back to
platform detection so that Intel Macs automatically use GGUF-only
mode even when invoked from ``unsloth studio update`` (which does
not inject the env var).
"""
env = os.environ.get("UNSLOTH_NO_TORCH")
if env is not None:
return env.strip().lower() in ("1", "true")
return IS_MAC_INTEL
NO_TORCH = _infer_no_torch()
# -- Verbosity control ----------------------------------------------------------
# By default the installer shows a minimal progress bar (one line, in-place).
# Set UNSLOTH_VERBOSE=1 in the environment to restore full per-step output:
# CLI: unsloth studio setup --verbose
# Linux/Mac: UNSLOTH_VERBOSE=1 ./studio/setup.sh
# Windows: $env:UNSLOTH_VERBOSE="1" ; .\studio\setup.ps1
VERBOSE: bool = os.environ.get("UNSLOTH_VERBOSE", "0") == "1"
# Progress bar state -- updated by _progress() as each install step runs.
# Update _TOTAL here if you add or remove install steps in install_python_stack().
_STEP: int = 0
_TOTAL: int = 0 # set at runtime in install_python_stack() based on platform
# -- Paths --------------------------------------------------------------
SCRIPT_DIR = Path(__file__).resolve().parent
REQ_ROOT = SCRIPT_DIR / "backend" / "requirements"
SINGLE_ENV = REQ_ROOT / "single-env"
CONSTRAINTS = SINGLE_ENV / "constraints.txt"
LOCAL_DD_UNSTRUCTURED_PLUGIN = (
SCRIPT_DIR / "backend" / "plugins" / "data-designer-unstructured-seed"
)
LOCAL_DD_GITHUB_PLUGIN = (
SCRIPT_DIR / "backend" / "plugins" / "data-designer-github-repo-seed"
)
# -- Unicode-safe printing ---------------------------------------------
# On Windows the default console encoding can be a legacy code page
# (e.g. CP1252) that cannot represent Unicode glyphs such as ✅ or ❌.
# _safe_print() gracefully degrades to ASCII equivalents so the
# installer never crashes just because of a status glyph.
_UNICODE_TO_ASCII: dict[str, str] = {
"\u2705": "[OK]", # ✅
"\u274c": "[FAIL]", # ❌
"\u26a0\ufe0f": "[!]", # ⚠️ (warning + variation selector)
"\u26a0": "[!]", # ⚠ (warning without variation selector)
}
def _safe_print(*args: object, **kwargs: object) -> None:
"""Drop-in print() replacement that survives non-UTF-8 consoles and detached stdout."""
try:
print(*args, **kwargs)
except OSError:
return
except UnicodeEncodeError:
# Stringify, then swap emoji for ASCII equivalents
text = " ".join(str(a) for a in args)
for uni, ascii_alt in _UNICODE_TO_ASCII.items():
text = text.replace(uni, ascii_alt)
# Final fallback: replace any remaining unencodable chars
print(
text.encode(sys.stdout.encoding or "ascii", errors = "replace").decode(
sys.stdout.encoding or "ascii", errors = "replace"
),
**kwargs,
)
# ── Color support ──────────────────────────────────────────────────────
# Same logic as startup_banner: NO_COLOR disables, FORCE_COLOR or TTY enables.
def _stdout_supports_color() -> bool:
"""True if we should emit ANSI colors (matches startup_banner)."""
if os.environ.get("NO_COLOR", "").strip():
return False
if os.environ.get("FORCE_COLOR", "").strip():
return True
try:
if not sys.stdout.isatty():
return False
except (AttributeError, OSError, ValueError):
return False
if IS_WINDOWS:
try:
import ctypes
kernel32 = ctypes.windll.kernel32
handle = kernel32.GetStdHandle(-11)
mode = ctypes.c_ulong()
kernel32.GetConsoleMode(handle, ctypes.byref(mode))
kernel32.SetConsoleMode(handle, mode.value | 0x0004)
except (ImportError, AttributeError, OSError):
return False
return True
_HAS_COLOR = _stdout_supports_color()
# Column layout — matches setup.sh step() helper:
# 2-space indent, 15-char label (dim), then value.
_LABEL = "deps"
_COL = 15
def _green(msg: str) -> str:
return f"\033[38;5;108m{msg}\033[0m" if _HAS_COLOR else msg
def _cyan(msg: str) -> str:
return f"\033[96m{msg}\033[0m" if _HAS_COLOR else msg
def _red(msg: str) -> str:
return f"\033[91m{msg}\033[0m" if _HAS_COLOR else msg
def _dim(msg: str) -> str:
return f"\033[38;5;245m{msg}\033[0m" if _HAS_COLOR else msg
def _title(msg: str) -> str:
return f"\033[38;5;150m{msg}\033[0m" if _HAS_COLOR else msg
_RULE = "\u2500" * 52
def _step(label: str, value: str, color_fn = None) -> None:
"""Print a single step line in the column format."""
if color_fn is None:
color_fn = _green
padded = label[:_COL]
_safe_print(f" {_dim(padded)}{' ' * (_COL - len(padded))}{color_fn(value)}")
def _progress(label: str) -> None:
"""Print an in-place progress bar aligned to the step column layout."""
global _STEP
_STEP += 1
if VERBOSE:
return
width = 20
filled = int(width * _STEP / _TOTAL)
bar = "=" * filled + "-" * (width - filled)
pad = " " * (_COL - len(_LABEL))
end = "\n" if _STEP >= _TOTAL else ""
try:
sys.stdout.write(
f"\r {_dim(_LABEL)}{pad}[{bar}] {_STEP:2}/{_TOTAL} {label:<20}{end}"
)
sys.stdout.flush()
except OSError:
pass
def run(
label: str, cmd: list[str], *, quiet: bool = True
) -> subprocess.CompletedProcess[bytes]:
"""Run a command; on failure print output and exit."""
if VERBOSE:
_step(_LABEL, f"{label}...", _dim)
result = subprocess.run(
cmd,
stdout = subprocess.PIPE if quiet else None,
stderr = subprocess.STDOUT if quiet else None,
**_windows_hidden_subprocess_kwargs(),
)
if result.returncode != 0:
_step("error", f"{label} failed (exit code {result.returncode})", _red)
if result.stdout:
print(result.stdout.decode(errors = "replace"))
sys.exit(result.returncode)
return result
# Packages to skip on Windows (require special build steps)
WINDOWS_SKIP_PACKAGES = {"open_spiel", "triton_kernels"}
# Packages to skip when torch is unavailable (Intel Mac GGUF-only mode).
# These packages either *are* torch extensions or have unconditional
# ``Requires-Dist: torch`` in their published metadata, so installing
# them would pull torch back into the environment.
NO_TORCH_SKIP_PACKAGES = {
"torch-stoi",
"timm",
"torchcodec",
"torch-c-dlpack-ext",
"openai-whisper",
"transformers-cfg",
}
def _select_flash_attn_version(torch_mm: str) -> str | None:
return flash_attn_package_version(torch_mm)
def _build_flash_attn_wheel_url(env: dict[str, str]) -> str | None:
return flash_attn_wheel_url(env)
def _print_optional_install_failure(
label: str, result: subprocess.CompletedProcess[str]
) -> None:
_step("warning", f"{label} failed (exit code {result.returncode})", _cyan)
if result.stdout:
print(result.stdout.strip())
def _flash_attn_install_disabled() -> bool:
return os.getenv("UNSLOTH_STUDIO_SKIP_FLASHATTN_INSTALL") == "1"
def _ensure_flash_attn() -> None:
if _flash_attn_install_disabled():
return
if NO_TORCH:
return
if has_blackwell_gpu():
_step(
"warning",
"Skipping flash-attn: Blackwell GPU detected (sm_100+); no compatible prebuilt wheel",
_cyan,
)
return
if IS_WINDOWS or IS_MACOS:
return
if (
subprocess.run(
[sys.executable, "-c", "import flash_attn"],
stdout = subprocess.DEVNULL,
stderr = subprocess.DEVNULL,
).returncode
== 0
):
return
env = probe_torch_wheel_env()
wheel_url = _build_flash_attn_wheel_url(env) if env else None
if wheel_url and url_exists(wheel_url):
for installer, wheel_result in install_wheel(
wheel_url,
python_executable = sys.executable,
use_uv = USE_UV,
uv_needs_system = UV_NEEDS_SYSTEM,
):
if wheel_result.returncode == 0:
return
_print_optional_install_failure(
f"Installing flash-attn prebuilt wheel with {installer}",
wheel_result,
)
_step("warning", "Continuing without flash-attn", _cyan)
return
if wheel_url is None:
_step("warning", "No compatible flash-attn prebuilt wheel found", _cyan)
else:
_step("warning", "No published flash-attn prebuilt wheel found", _cyan)
# -- uv bootstrap ------------------------------------------------------
USE_UV = False # Set by _bootstrap_uv() at the start of install_python_stack()
UV_NEEDS_SYSTEM = False # Set by _bootstrap_uv() via probe
def _bootstrap_uv() -> bool:
"""Check if uv is available and probe whether --system is needed."""
global UV_NEEDS_SYSTEM
if not shutil.which("uv"):
return False
# Probe: try a dry-run install targeting the current Python explicitly.
# Without --python, uv can ignore the activated venv on some platforms.
probe = subprocess.run(
["uv", "pip", "install", "--dry-run", "--python", sys.executable, "pip"],
stdout = subprocess.PIPE,
stderr = subprocess.STDOUT,
**_windows_hidden_subprocess_kwargs(),
)
if probe.returncode != 0:
# Retry with --system (some envs need it when uv can't find a venv)
probe_sys = subprocess.run(
["uv", "pip", "install", "--dry-run", "--system", "pip"],
stdout = subprocess.PIPE,
stderr = subprocess.STDOUT,
**_windows_hidden_subprocess_kwargs(),
)
if probe_sys.returncode != 0:
return False # uv is broken, fall back to pip
UV_NEEDS_SYSTEM = True
return True
def _filter_requirements(req: Path, skip: set[str]) -> Path:
"""Return a temp copy of a requirements file with certain packages removed."""
lines = req.read_text(encoding = "utf-8").splitlines(keepends = True)
filtered = [
line
for line in lines
if not any(line.strip().lower().startswith(pkg) for pkg in skip)
]
tmp = tempfile.NamedTemporaryFile(
mode = "w",
suffix = ".txt",
delete = False,
encoding = "utf-8",
)
tmp.writelines(filtered)
tmp.close()
return Path(tmp.name)
def _translate_pip_args_for_uv(args: tuple[str, ...]) -> list[str]:
"""Translate pip flags to their uv equivalents."""
translated: list[str] = []
for arg in args:
if arg == "--no-cache-dir":
continue # uv cache is fast; drop this flag
elif arg == "--force-reinstall":
translated.append("--reinstall")
else:
translated.append(arg)
return translated
def _build_pip_cmd(args: tuple[str, ...]) -> list[str]:
"""Build a standard pip install command.
Strips uv-only flags like --upgrade-package that pip doesn't understand.
"""
cmd = [sys.executable, "-m", "pip", "install"]
skip_next = False
for arg in args:
if skip_next:
skip_next = False
continue
if arg == "--upgrade-package":
skip_next = True # skip the flag and its value
continue
cmd.append(arg)
return cmd
def _build_uv_cmd(args: tuple[str, ...]) -> list[str]:
"""Build a uv pip install command with translated flags."""
cmd = ["uv", "pip", "install"]
if UV_NEEDS_SYSTEM:
cmd.append("--system")
# Always pass --python so uv targets the correct environment.
# Without this, uv can ignore an activated venv and install into
# the system Python (observed on Colab and similar environments).
cmd.extend(["--python", sys.executable])
cmd.extend(_translate_pip_args_for_uv(args))
# Torch is pre-installed by install.sh/setup.ps1. Do not add
# --torch-backend by default -- it can cause solver dead-ends on
# CPU-only machines. Callers that need it can set UV_TORCH_BACKEND.
_tb = os.environ.get("UV_TORCH_BACKEND", "")
if _tb:
cmd.append(f"--torch-backend={_tb}")
return cmd
def pip_install_try(
label: str,
*args: str,
constrain: bool = True,
) -> bool:
"""Like pip_install but returns False on failure instead of exiting.
For optional installs with a follow-up fallback.
"""
constraint_args_pip: list[str] = []
constraint_args_uv: list[str] = []
if constrain and CONSTRAINTS.is_file():
constraint_args_pip = ["-c", str(CONSTRAINTS)]
constraint_args_uv = ["-c", _uv_safe_path(CONSTRAINTS)]
if USE_UV:
cmd = _build_uv_cmd(args) + constraint_args_uv
else:
cmd = _build_pip_cmd(args) + constraint_args_pip
if VERBOSE:
_step(_LABEL, f"{label}...", _dim)
result = subprocess.run(
cmd,
stdout = subprocess.PIPE,
stderr = subprocess.STDOUT,
)
if result.returncode == 0:
return True
if VERBOSE and result.stdout:
print(result.stdout.decode(errors = "replace"))
return False
def pip_install(
label: str,
*args: str,
req: Path | None = None,
constrain: bool = True,
) -> None:
"""Build and run a pip install command (uses uv when available, falls back to pip)."""
constraint_args_pip: list[str] = []
constraint_args_uv: list[str] = []
if constrain and CONSTRAINTS.is_file():
constraint_args_pip = ["-c", str(CONSTRAINTS)]
constraint_args_uv = ["-c", _uv_safe_path(CONSTRAINTS)]
actual_req = req
temp_reqs: list[Path] = []
if req is not None and IS_WINDOWS and WINDOWS_SKIP_PACKAGES:
actual_req = _filter_requirements(req, WINDOWS_SKIP_PACKAGES)
temp_reqs.append(actual_req)
if actual_req is not None and NO_TORCH and NO_TORCH_SKIP_PACKAGES:
actual_req = _filter_requirements(actual_req, NO_TORCH_SKIP_PACKAGES)
temp_reqs.append(actual_req)
req_args_pip: list[str] = []
req_args_uv: list[str] = []
if actual_req is not None:
req_args_pip = ["-r", str(actual_req)]
req_args_uv = ["-r", _uv_safe_path(actual_req)]
try:
if USE_UV:
uv_cmd = _build_uv_cmd(args) + constraint_args_uv + req_args_uv
if VERBOSE:
print(f" {label}...")
result = subprocess.run(
uv_cmd,
stdout = subprocess.PIPE,
stderr = subprocess.STDOUT,
**_windows_hidden_subprocess_kwargs(),
)
if result.returncode == 0:
return
print(_red(f" uv failed, falling back to pip..."))
if result.stdout:
print(result.stdout.decode(errors = "replace"))
pip_cmd = _build_pip_cmd(args) + constraint_args_pip + req_args_pip
run(f"{label} (pip)" if USE_UV else label, pip_cmd)
finally:
for temp_req in temp_reqs:
temp_req.unlink(missing_ok = True)
def download_file(url: str, dest: Path) -> None:
"""Download a file using urllib (no curl dependency)."""
urllib.request.urlretrieve(url, dest)
def patch_package_file(package_name: str, relative_path: str, url: str) -> None:
"""Download a file from url and overwrite a file inside an installed package."""
result = subprocess.run(
[sys.executable, "-m", "pip", "show", package_name],
capture_output = True,
text = True,
**_windows_hidden_subprocess_kwargs(),
)
if result.returncode != 0:
_step(_LABEL, f"package {package_name} not found, skipping patch", _red)
return
location = None
for line in result.stdout.splitlines():
if line.lower().startswith("location:"):
location = line.split(":", 1)[1].strip()
break
if not location:
_step(_LABEL, f"could not locate {package_name}", _red)
return
dest = Path(location) / relative_path
_step(_LABEL, f"patching {dest.name} in {package_name}...", _dim)
download_file(url, dest)
# -- Main install sequence ---------------------------------------------
def install_python_stack() -> int:
global USE_UV, _STEP, _TOTAL
_STEP = 0
# When called from install.sh (which already installed unsloth into the venv),
# SKIP_STUDIO_BASE=1 is set to avoid redundant reinstallation of base packages.
# When called from "unsloth studio update", it is NOT set so base packages
# (unsloth + unsloth-zoo) are always reinstalled to pick up new versions.
skip_base = os.environ.get("SKIP_STUDIO_BASE", "0") == "1"
# When --package is used, install a different package name (e.g. roland-sloth for testing)
package_name = os.environ.get("STUDIO_PACKAGE_NAME", "unsloth")
# When --local is used, overlay a local repo checkout after updating deps
local_repo = os.environ.get("STUDIO_LOCAL_REPO", "")
base_total = 10 if IS_WINDOWS else 11
if IS_MACOS:
base_total -= 1 # triton step is skipped on macOS
if not IS_WINDOWS and not IS_MACOS and not NO_TORCH:
base_total += 3
_TOTAL = (base_total - 1) if skip_base else base_total
# 1. Try to use uv for faster installs (must happen before pip upgrade
# because uv venvs don't include pip by default)
USE_UV = _bootstrap_uv()
# 2. Ensure pip is available (uv venvs created by install.sh don't include pip)
_progress("pip bootstrap")
if USE_UV:
run(
"Bootstrapping pip via uv",
[
"uv",
"pip",
"install",
"--python",
sys.executable,
"pip",
],
)
else:
# pip may not exist yet (uv-created venvs omit it). Try ensurepip
# first, then upgrade. Only fall back to a direct upgrade when pip
# is already present.
_has_pip = (
subprocess.run(
[sys.executable, "-m", "pip", "--version"],
stdout = subprocess.DEVNULL,
stderr = subprocess.DEVNULL,
**_windows_hidden_subprocess_kwargs(),
).returncode
== 0
)
if not _has_pip:
run(
"Bootstrapping pip via ensurepip",
[sys.executable, "-m", "ensurepip", "--upgrade"],
)
else:
run(
"Upgrading pip",
[sys.executable, "-m", "pip", "install", "--upgrade", "pip"],
)
# 3. Core packages: unsloth-zoo + unsloth (or custom package name)
if skip_base:
pass
elif NO_TORCH:
# No-torch update path: install unsloth + unsloth-zoo with --no-deps
# (current PyPI metadata still declares torch as a hard dep), then
# runtime deps with --no-deps (avoids transitive torch).
_progress("base packages (no torch)")
pip_install(
f"Updating {package_name} + unsloth-zoo (no-torch mode)",
"--no-cache-dir",
"--no-deps",
"--upgrade-package",
package_name,
"--upgrade-package",
"unsloth-zoo",
package_name,
"unsloth-zoo",
)
# Resolve pydantic WITH deps so pip pins pydantic-core to the
# exact version pydantic's metadata declares. Under --no-deps
# alone pip picks the latest of each and trips pydantic's
# _ensure_pydantic_core_version check. Transitive deps are
# torch-free.
pip_install(
"Installing pydantic (with deps for compatible core)",
"--no-cache-dir",
"pydantic",
)
pip_install(
"Installing no-torch runtime deps",
"--no-cache-dir",
"--no-deps",
req = REQ_ROOT / "no-torch-runtime.txt",
)
if local_repo:
_step(_LABEL, f"overlaying local repo (editable): {local_repo}")
pip_install(
"Overlaying local repo (editable)",
"--no-cache-dir",
"--no-deps",
"-e",
local_repo,
constrain = False,
)
_step(_LABEL, "overlaying unsloth-zoo from git main")
pip_install(
"Overlaying unsloth-zoo from git main",
"--no-cache-dir",
"--no-deps",
"--force-reinstall",
"unsloth-zoo @ git+https://github.com/unslothai/unsloth-zoo",
constrain = False,
)
elif local_repo:
# Local dev install: update deps from base.txt, then overlay the
# local checkout as an editable install (--no-deps so torch is
# never re-resolved).
_progress("base packages")
pip_install(
"Updating base packages",
"--no-cache-dir",
"--upgrade-package",
"unsloth",
"--upgrade-package",
"unsloth-zoo",
req = REQ_ROOT / "base.txt",
)
_step(_LABEL, f"overlaying local repo (editable): {local_repo}")
pip_install(
"Overlaying local repo (editable)",
"--no-cache-dir",
"--no-deps",
"-e",
local_repo,
constrain = False,
)
_step(_LABEL, "overlaying unsloth-zoo from git main")
pip_install(
"Overlaying unsloth-zoo from git main",
"--no-cache-dir",
"--no-deps",
"--force-reinstall",
"unsloth-zoo @ git+https://github.com/unslothai/unsloth-zoo",
constrain = False,
)
elif package_name != "unsloth":
# Custom package name (e.g. roland-sloth for testing) — install directly
_progress("base packages")
pip_install(
f"Installing {package_name}",
"--no-cache-dir",
package_name,
)
else:
# Update path: upgrade only unsloth + unsloth-zoo while preserving
# existing torch/CUDA installations. Torch is pre-installed by
# install.sh / setup.ps1; --upgrade-package targets only base pkgs.
_progress("base packages")
pip_install(
"Updating base packages",
"--no-cache-dir",
"--upgrade-package",
"unsloth",
"--upgrade-package",
"unsloth-zoo",
req = REQ_ROOT / "base.txt",
)
# 2b. AMD ROCm: reinstall torch with HIP wheels if the host has ROCm but the
# venv received CPU-only torch (common when pip resolves torch from PyPI).
# Must come immediately after base packages so torch is present for inspection.
if not IS_WINDOWS and not IS_MACOS and not NO_TORCH:
_progress("ROCm torch check")
_ensure_rocm_torch()
# Windows + AMD GPU: PyTorch does not publish ROCm wheels for Windows.
# Detect and warn so users know manual steps are needed for GPU training.
if IS_WINDOWS and not NO_TORCH and not _has_usable_nvidia_gpu():
# Validate actual AMD GPU presence (not just tool existence)
import re as _re_win
def _win_amd_smi_has_gpu(stdout: str) -> bool:
return bool(_re_win.search(r"(?im)^gpu\s*[:\[]\s*\d", stdout))
_win_amd_gpu = False
for _wcmd, _check_fn in (
(["hipinfo"], lambda out: "gcnarchname" in out.lower()),
(["amd-smi", "list"], _win_amd_smi_has_gpu),
):
_wexe = shutil.which(_wcmd[0])
if not _wexe:
continue
try:
_wr = subprocess.run(
[_wexe, *_wcmd[1:]],
stdout = subprocess.PIPE,
stderr = subprocess.DEVNULL,
text = True,
timeout = 10,
)
except Exception:
continue
if _wr.returncode == 0 and _check_fn(_wr.stdout):
_win_amd_gpu = True
break
if _win_amd_gpu:
_safe_print(
_dim(" Note:"),
"AMD GPU detected on Windows. ROCm-enabled PyTorch must be",
)
_safe_print(
" " * 8,
"installed manually. See: https://docs.unsloth.ai/get-started/install-and-update/amd",
)
# 3. Extra dependencies
_progress("unsloth extras")
pip_install(
"Installing additional unsloth dependencies",
"--no-cache-dir",
req = REQ_ROOT / "extras.txt",
)
# 3b. Extra dependencies (no-deps) -- audio model support etc.
_progress("extra codecs")
pip_install(
"Installing extras (no-deps)",
"--no-deps",
"--no-cache-dir",
req = REQ_ROOT / "extras-no-deps.txt",
)
# 4. Overrides (torchao, transformers) -- force-reinstall
# Skip entirely when torch is unavailable (e.g. Intel Mac GGUF-only mode)
# because overrides.txt contains torchao which requires torch.
if NO_TORCH:
_progress("dependency overrides (skipped, no torch)")
else:
_progress("dependency overrides")
pip_install(
"Installing dependency overrides",
"--force-reinstall",
"--no-cache-dir",
req = REQ_ROOT / "overrides.txt",
)
# 5. Triton kernels (no-deps, from source)
# Skip on Windows (no support) and macOS (no support).
if not IS_WINDOWS and not IS_MACOS:
_progress("triton kernels")
pip_install(
"Installing triton kernels",
"--no-deps",
"--no-cache-dir",
req = REQ_ROOT / "triton-kernels.txt",
constrain = False,
)
if not IS_WINDOWS and not IS_MACOS and not NO_TORCH:
_progress("flash-attn")
_ensure_flash_attn()
# # 6. Patch: override llama_cpp.py with fix from unsloth-zoo feature/llama-cpp-windows-support branch
# patch_package_file(
# "unsloth-zoo",
# os.path.join("unsloth_zoo", "llama_cpp.py"),
# "https://raw.githubusercontent.com/unslothai/unsloth-zoo/refs/heads/main/unsloth_zoo/llama_cpp.py",
# )
# # 7a. Patch: override vision.py with fix from unsloth PR #4091
# patch_package_file(
# "unsloth",
# os.path.join("unsloth", "models", "vision.py"),
# "https://raw.githubusercontent.com/unslothai/unsloth/80e0108a684c882965a02a8ed851e3473c1145ab/unsloth/models/vision.py",
# )
# # 7b. Patch : override save.py with fix from feature/llama-cpp-windows-support
# patch_package_file(
# "unsloth",
# os.path.join("unsloth", "save.py"),
# "https://raw.githubusercontent.com/unslothai/unsloth/refs/heads/main/unsloth/save.py",
# )
# 8. Studio dependencies
_progress("studio deps")
pip_install(
"Installing studio dependencies",
"--no-cache-dir",
req = REQ_ROOT / "studio.txt",
)
# 9. Data-designer dependencies
_progress("data designer deps")
pip_install(
"Installing data-designer base dependencies",
"--no-cache-dir",
req = SINGLE_ENV / "data-designer-deps.txt",
)
# 10. Data-designer packages (no-deps to avoid conflicts)
_progress("data designer")
pip_install(
"Installing data-designer",
"--no-cache-dir",
"--no-deps",
req = SINGLE_ENV / "data-designer.txt",
)
# 11. Local Data Designer seed plugins
local_dd_plugins = [
("unstructured", LOCAL_DD_UNSTRUCTURED_PLUGIN),
("github", LOCAL_DD_GITHUB_PLUGIN),
]
for _plugin_name, plugin_dir in local_dd_plugins:
if not plugin_dir.is_dir():
_safe_print(
_red(
f"❌ Missing local plugin directory: {plugin_dir}",
),
)
return 1
_progress("local plugin")
for plugin_name, plugin_dir in local_dd_plugins:
pip_install(
f"Installing local data-designer {plugin_name} plugin",
"--no-cache-dir",
"--no-deps",
str(plugin_dir),
constrain = False,
)
# 12. Patch metadata for single-env compatibility
_progress("finalizing")
run(
"Patching single-env metadata",
[sys.executable, str(SINGLE_ENV / "patch_metadata.py")],
)
# 13. AMD ROCm: final torch repair. Multiple install steps above can
# pull in CUDA torch from PyPI (base packages, extras, overrides,
# studio deps, etc.). Running the repair as the very last step
# ensures ROCm torch is in place at runtime, regardless of which
# intermediate step clobbered it.
if not IS_WINDOWS and not IS_MACOS and not NO_TORCH:
_progress("ROCm torch (final)")
_ensure_rocm_torch()
# 14. Final check (silent; third-party conflicts are expected)
subprocess.run(
[sys.executable, "-m", "pip", "check"],
stdout = subprocess.DEVNULL,
stderr = subprocess.DEVNULL,
**_windows_hidden_subprocess_kwargs(),
)
_step(_LABEL, "installed")
return 0
if __name__ == "__main__":
sys.exit(install_python_stack())