[staging CI] unslothai/unsloth#7706 - #183
Open
danielhanchen wants to merge 17 commits into
Open
Conversation
The installer's GPU detection chain (NVIDIA -> AMD ROCm -> else) has no Intel Arc/SYCL/XPU branch, so Intel Arc GPUs fall into the "none (chat-only / GGUF)" branch and get CPU PyTorch despite PyTorch publishing XPU wheels at download.pytorch.org/whl/xpu. This adds: - WMI-based Intel GPU detection (Arc, Iris, UHD, HD Graphics) - Torch XPU availability check for migrated/upgraded environments - An XPU PyTorch install path with the whl/xpu index - CPU fallback with a pointer to the Intel oneAPI docs when XPU isn't available - Updated messaging from "NVIDIA or AMD ROCm" to include Intel Arc The XPU wheels ship their own oneAPI runtime (intel-sycl-rt et al.) so no Intel oneAPI Base Toolkit is required for GPU training. Tested on: Windows 11, Intel Arc 140V GPU (8GB), PyTorch 2.9.0+xpu Co-authored-by: CommandCodeBot <noreply@commandcode.ai>
The XPU index selected during GPU detection was overwritten by Get-TorchIndexUrl before the install branch read it, so Intel hosts still got CPU PyTorch while being told XPU wheels were being installed. - Move the XPU reroute after Get-TorchIndexUrl, and let an explicit pin win - Detect via Get-CimInstance (Get-WmiObject is absent in PowerShell 7) - Match only Arc / Data Center GPU, so UHD / HD / Iris Xe are not promised XPU - Split Intel GPU present from XPU-capable so the CPU fallback hint works - Bound the XPU torch trio like every other index (bare names resolved torch 2.13.0 + torchaudio 2.11.0 and pulled unsloth back to an old release) - Clear the XPU state after a CPU fallback, mirroring the ROCm path - Teach the index family, GPU branch and torch flavor helpers about xpu
install.ps1 now classifies an /xpu index leaf as family xpu / branch xpu, so mirror the same two cases in _tauri_torch_index_family and _tauri_gpu_branch. These feed the [TAURI:DIAG] line only, and a Linux user can already reach the xpu index via UNSLOTH_TORCH_INDEX_FAMILY, where it previously reported auto/unknown. Linux Intel auto-detection is not added here.
Comment and whitespace only, no code change.
- Run the Intel scan before the GPU report chain instead of inside its final else. A WMI-named-only AMD adapter set ROCmGpuLabel and took that chain, so a discrete Arc card next to an AMD CPU's integrated Radeon was never detected. The scan is gated on no usable NVIDIA or AMD, and the Intel branch ranks above the two AMD-present-but-unusable branches, so a usable AMD host is unaffected. - Let a migrated env's torch veto the hardware match only when it is itself an XPU build. A CPU build reports torch.xpu.is_available() False for lacking XPU support, not for unsuitable hardware, and was blocking the CPU to XPU upgrade. - Detect Intel in studio/setup.ps1 too. It only knew NVIDIA and AMD, so every successful Intel install printed none (chat-only / GGUF) right after install.ps1 reported a usable Arc GPU. Self-contained so studio update works.
- Reset $script:IsIntelXpu at the start of each invocation. Under the documented irm | iex path $script: is the caller's session scope, so a second run in the same session inherited a stale true, skipped the scan on a now-NVIDIA host and still rerouted to the xpu index. Reproduced in pwsh before fixing. - Gate the Intel scan on whether AMD actually gets a wheel, not on whether an AMD arch was seen. An arch missing from the family map has no ROCm wheels and lands on CPU torch, so it must not outrank a usable Arc card. The map is hoisted above the scan and consumed unchanged by the AMD reroute. - Select the XPU index in studio/setup.ps1, not just report it. Previously setup printed Intel GPU detected and then installed CPU torch, so studio update never migrated an Arc box off CPU. Adds a bounded XPU install with a CPU fallback, teaches the stale-venv check about +xpu, and mirrors the wheel-aware AMD gate so the two files agree instead of wiping the venv on every update.
- Force the dependency pass on an Arc host whose torch is not XPU-capable, the Intel counterpart of the existing AMD escape. Without it the fast up-to-date path skipped the install block, so the xpu index selection was never reached and a CPU venv never migrated. - Confirm a working XPU runtime before treating an xpu venv as stale. If CIM is unavailable or returns an Intel name outside the Arc match, the expected tag fell through to cpu and a valid XPU environment was rebuilt and lost. - Force-reinstall the XPU trio only when the installed wheel is not already +xpu, or the pin changed. It was unconditional, so a fresh install re-fetched multiple GB immediately and again on every update. - Warn when torch.xpu.is_available() is false after installing XPU torch, naming the Intel driver floor. Otherwise the installer promised GPU training while unsloth raised NotImplementedError at import on a stale driver. - Stop the detection probe vetoing the hardware match. Its cpu fallback could not displace the installed +xpu wheel, so it only mislabelled a capable GPU as unusable; the driver warning covers that case honestly, and setup.ps1 agrees.
…dbytes on the Intel path install.sh: teach _torch_flavor_tag, _expected_torch_flavor_tag and _torch_index_repairable about the xpu leaf. The diagnostic already reported gpu_branch=xpu, but an xpu pin fell to the custom arm so a migrated env kept its CPU wheel. The +xpu flavor arm is required alongside, otherwise a correct 2.10.0+xpu wheel reads as cpu and gets force-reinstalled every run. install.ps1 / studio/setup.ps1: route every torch probe through a new bounded Invoke-BoundedPythonProbe (ProcessStartInfo, both streams drained async, WaitForExit, kill on timeout). A hanging Intel driver init is exactly what these probes detect, and an unbounded one would hang the installer instead of reaching the warning. Timeouts read as not-available. Get-InstalledTorchTag now shares the helper rather than carrying a second copy of the pattern. install.ps1: install bitsandbytes>=0.50.0 on the XPU path. unsloth's floor is >=0.45.5, so a migrated venv keeps a pre-0.49 wheel with no XPU library and 4-bit QLoRA silently turns off. Same floor the AMD paths use, since <=0.49.2 NaNs at 4-bit decode and an Arc card can sit next to a Radeon.
… pin studio/setup.ps1: `unsloth studio update` migrating a CPU venv to XPU replaced only the torch trio. install_python_stack.py then upgrades unsloth and unsloth-zoo alone, so an installed bitsandbytes 0.45.x kept satisfying the base floor while carrying no Windows XPU kernels, and 4-bit QLoRA silently turned off. Adds the same bitsandbytes>=0.50.0 --no-deps pass install.ps1 got, placed after the stack so it is the last word, gated on $XpuIndexUrl (the CPU fallback clears it, no-torch never sets it) and still inside the -not $SkipPythonDeps block so the up-to-date escape does not reach it. install.ps1: key the bitsandbytes pass off the index leaf instead of $script:IsIntelXpu. An explicit UNSLOTH_TORCH_INDEX_FAMILY=xpu pin on a non-Intel host skips the XPU branch but still installs the trio from the xpu index, so torch is +xpu and needs the same floor. The CPU fallback rewrites $TorchIndexUrl, so a failed XPU install reads as cpu and stays quiet.
Comment-only pass now that the review has settled: several blocks grew over successive rounds and were restating the code or narrating the review. Net 36 lines removed, with the load-bearing facts kept -- why ProcessStartInfo rather than the call operator, why both probe streams drain async, why the helper is defined above the Intel scan, the 0.50.0 bitsandbytes floor and why not the curated extra, and why PEP 440 means a migrated env can confirm but never veto the Intel match. Also records why the Studio bitsandbytes pass must stay above the ErrorActionPreference restore: Fast-Install needs EAP=Continue or PS 5.1 turns pip stderr into a terminating error. No code tokens changed; verified with a PowerShell token-stream diff of install.ps1 and setup.ps1, and by hand for install.sh.
… Triton shadowing XPU studio/setup.ps1: the stale-venv flavor probe read StandardOutput.ReadToEnd() before WaitForExit, so the timeout was unreachable and a wedged import torch hung studio setup forever; stderr was never drained either. Routed through Invoke-BoundedPythonProbe, which already drains both streams and kills on timeout. A timeout now reads as unreadable flavor, so the venv rebuilds. install.ps1 / studio/setup.ps1: bound the Win32_VideoController query and add a registry fallback. -ErrorAction suppresses errors but bounds nothing, and -OperationTimeoutSec is not enforced for the local COM session this uses, so a degraded WMI repository blocks forever. install_llama_prebuilt.py already runs this query out of process for the same reason and documents an Arc A770 being misrouted by it. The registry class key answers in-process; it is the fallback rather than the fast path because a stale driver config can outlive the hardware, and here a false positive would install XPU torch on a host with no Arc. studio/setup.ps1: replace triton-windows with torch's own XPU triton after the stack. Both distributions own the top-level triton package, sharing 151 paths including __init__.py and _C/libtriton.pyd, so an in-place cu-to-xpu repair leaves the CUDA build shadowing the XPU one. Removing it alone would delete the shared files the XPU wheel overwrote, and unsloth declares triton-windows as a win32 dependency so an earlier removal is reinstalled by the stack: uninstall and reinstall, after the stack, only while triton-windows is present. The spec is read from the installed torch, since the name changed from pytorch-triton-xpu to triton-xpu in torch 2.10.
Comment-only pass over the previous commit's additions, which had not been through one: 15 lines removed across the two bounded-scan headers, the two registry-fallback headers and the Triton block. Kept the facts that cost measurement: -OperationTimeoutSec not being enforced for a local COM session, Ok being false on an empty answer because a Windows host always has an adapter, the registry class key being fallback rather than fast path here, the 151 shared Triton paths, and why the uninstall has to be paired with a reinstall after the stack. No code tokens changed; verified with a PowerShell token-stream diff of both files, which also confirms the two helper copies stay identical.
…t strand the venv The replacement uninstalled triton-windows and then installed the XPU triton from the index. A failure between the two left the venv with a partially deleted triton, since the uninstall drops the paths shared with the XPU distribution, and the warning made that look like a skipped optional repair. The uninstall cannot go last, because it removes the paths in triton-windows' own record and those are the shared ones. So fetch first: pip download the wheel, confirm one is actually on disk (exit 0 alone is not enough, an sdist-only mirror satisfies that), and only then uninstall and install the local file. A local wheel installs with the network refused, so nothing after the destructive step depends on the index. A failed fetch leaves triton-windows in place, which is the pre-existing shadowing rather than a broken venv, and says so. Past that point only disk or permissions can fail, so restore triton-windows if the local install does, leaving a triton that imports. If both fail the message is loud and carries the repair command, with the index URL redacted since a mirror pin can carry a token. pip only: uv has no pip download (astral-sh/uv#3163).
…ll state up front Get-IntelRegistryAdapterNames wrapped the whole enumeration in a single try, so one unreadable subkey discarded every adapter found before it. windows_intel_gpu_in_registry(), the in-process Python probe over the same class key, skips per subkey and continues; the PowerShell copy now does too. It also matched on the PCI vendor id but returned DriverDesc, which the callers re-filter on "Intel", so a localized or OEM-branded Arc was found here and dropped there. Both installers carry the same copy and a test asserts they stay identical. setup.ps1 read $installedTorchTag and $XpuIndexUrl from outside the blocks that assign them. Unset and $null are both falsy so behaviour is unchanged, but a caller running with Set-StrictMode -Version Latest turned those reads into terminating errors, and install.ps1 is documented as irm | iex into the caller's own session. Two comment corrections: 0.48.2, not 0.49.0, is the first win_amd64 bitsandbytes wheel carrying libbitsandbytes_xpu.dll, and the triton package overlap is version-dependent rather than a fixed 151 paths. The new test drives the shipped helper with the registry cmdlets mocked rather than reading a hive, so it runs on Linux and macOS as well as Windows.
hardware.py has always emitted versions["xpu"], but HardwareInfo only ever declared cuda and rocm. On an Arc host both of those are null, so the runtime row disappeared entirely while the GPU name and VRAM rows still rendered, leaving a host that looks half detected. That was unreachable on Windows until the installer learned to select XPU wheels, which is what makes it worth fixing here. The three-way choice is lifted into a helper at module scope: inlining it pushes AboutTab past the cognitive-complexity ceiling. The label is a proper noun, so every locale carries the same literal.
|
Caution The consumer version of Gemini Code Assist on GitHub has been sunset. All code review activity has officially ceased. |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Disposable CI run for unslothai#7706. Do not merge; closed after CI.