minigpu_ffi 1.5.8

FFI implementation of minigpu. A library that brings multiplatform GPU compute to Dart and Flutter using WebGPU and Google Dawn.

Minigpu FFI

This is the FFI implementation of the minigpu package.

see https://pub.dev/packages/minigpu

Dawn build location

minigpu depends on Dawn (Google's WebGPU implementation). On first build Dawn is cloned and compiled automatically.

Platform	Default path
Windows	%SYSTEMDRIVE%\dawn (e.g. C:\dawn)
macOS	~/dawn
Linux	~/dawn

Windows uses a short root-level path to stay well within the 260-character MAX_PATH limit that Dawn's deeply-nested source tree can otherwise exceed.

Override: MINIGPU_DAWN_DIR

Set the MINIGPU_DAWN_DIR environment variable to point Dawn at a different root directory. The build expects a build_{os}_{arch}/ subdirectory inside it (e.g. build_win_x86_64/).

# Windows example — use a custom drive/path
$env:MINIGPU_DAWN_DIR = 'D:\my_dawn'

# macOS / Linux example
export MINIGPU_DAWN_DIR=/opt/dawn

This env var is read by both the Dart build hook (hook/build.dart) and the CMake module (src/cmake/dawn.cmake), so it works whether you build via flutter build, dart pub get, or cmake directly.

Set it before the build; the hook resolves it into the -DDAWN_DIR=… it passes to cmake, and that define outranks everything else. Setting DAWN_DIR in your app's windows/CMakeLists.txt has no effect — minigpu's native asset is built as its own cmake project, not a subdirectory of your app.

Fixed in 1.5.8: before that, MINIGPU_DAWN_DIR changed only where the hook looked for a prebuilt webgpu_dawn library. cmake was still told the platform default (%SYSTEMDRIVE%\dawn) and would clone and build Dawn there, so the variable appeared to be ignored.

Troubleshooting

Invalid character escape '\d' / Syntax error in cmake code at <dawn>/build_win_x86_64/tmp/CMakeLists.txt

Fixed in 1.5.8. A Windows Dawn root reached FetchContent_Declare with backslashes; FetchContent copies SOURCE_DIR/BINARY_DIR verbatim into a sub-build CMakeLists.txt it generates, and there C:\dawn is a string with an invalid escape. dawn.cmake now normalizes DAWN_DIR with file(TO_CMAKE_PATH …). Only machines without a prebuilt Dawn hit this — when an existing build is found, the from-source branch never runs. On an older version, pass a forward-slash path (-DDAWN_DIR=C:/dawn) or install a prebuilt Dawn at the default path.

webgpu_dawn shared library not found

The root you pointed at must contain build_{os}_{arch}/ — e.g. E:\my_dawn\build_win_x86_64\, with the import library at build_win_x86_64/src/dawn/native/Release/webgpu_dawn.lib and the DLL somewhere under that tree. A Dawn built with a different output layout (out/Release, a bare build/) will not be found.

em++: error: … not a valid port path: …emdawnwebgpu-v<stamp>.remoteport.py

Fixed in 1.5.8. Dawn ships the Emscripten port file as either the in-tree src/emdawnwebgpu/pkg/emdawnwebgpu.port.py or a generated, version-stamped emdawnwebgpu-v<stamp>.remoteport.py. The web build hardcoded the stamped name, so bumping DAWN_COMMIT broke it — and em++ only complained ~370 targets in, after Dawn itself had compiled. It is now detected at configure time (look for -- emdawnwebgpu port -> … in the log) and a miss is a FATAL_ERROR naming DAWN_COMMIT.

Buffer readback / upload performance

FfiBuffer pools its native scratch memory and NativeCallable across frames to eliminate per-call malloc/free and FFI callback registration overhead.

How it works:

• The first read() or write() call allocates a scratch buffer of the required size and a reusable NativeCallable listener. Both are kept alive on the FfiBuffer instance.
• Subsequent calls of the same size reuse both, so the hot path has zero FFI allocation overhead.
• If the required size grows the scratch is reallocated; if a read or write is already in flight (re-entrant across an await) a local one-shot buffer is used as a fallback — this is safe because Dart is single-threaded.
• destroy() frees the pooled scratch and closes the NativeCallable exactly once, guarded by a _destroyed flag.

Batched transfers (scoped uploads / readbacks)

Per-range writeBuffer / readSync each take the device mutex and force their own submit. When a frame issues many scattered transfers, that per-call tax dominates. Two additive scopes collapse N transfers into one submit:

mgpuBeginUploads(ctx);
mgpuStageWrite(buf, dstOffset, src, len);   // xN — memcpy into a host arena
mgpuEndUploads();                            // 1 queue write + N copyBufferToBuffer

mgpuBeginReadbacks(ctx);
mgpuStageRead(buf, srcOffset, dst, len);    // xN — records copies only
mgpuEndReadbacks();                          // 1 submit + 1 fence + 1 map

Both emit their copies into the batch encoder already open, so no extra submit is forced. Scopeless or unaligned ranges fall back to the plain inline call, so a caller can route every transfer through these unconditionally.

Contract (read this — reads differ from writes):

• End runs inline on the caller's thread, under the same device mutex the inline calls take. Ordering is identical to writeBytesAt / readSync; what is removed is the submit. Nothing moves onto the WebGPU worker thread — inline mgpuReadSync* / mgpuWrite* do not join that thread's FIFO, so emitting there would be a race.
• A staged read is not filled until End. Keep dst alive and do not inspect it early. Reads observe their source as of End.
• A scope must not span a dispatch that reads what it stages.
• mgpuStageRead takes raw bytes (mirror of mgpuWriteBufferAt), not the element counts mgpuReadSyncUint32 uses.

Profiling: mgpuUploadStats() / mgpuReadbackStats(), or set MGPU_UPLOAD_PROF=1 / MGPU_READBACK_PROF=1.

Measured (RTX 4090): uploads removed the per-call tax (0.35–0.81 → 0.092 ms on a ~97-write bracket) but did not move the wall — that path is byte-bound. Readbacks did: 8 reads of 2.72 MB, 1.098 → 0.465 ms of API time. Batched readback now sits at the hardware floor (submit 0.09 / map 0.24 at PCIe / memcpy-out 0.13 at host speed).

GPU waits and the Windows timer quantum

drain_dawn_events_with_timeout previously waited with a 1 ms timeout on a future that nothing could notify early, and a 1 ms condition-variable wait on Windows rounds up to the system timer granularity (~15.6 ms) — so every GPU wait cost one whole tick. It now probes with a zero timeout and yield-spins for a bounded budget before degrading to coarse sleeping.

• MGPU_DRAIN_SPIN_MS=<ms> tunes the budget (default 8); 0 restores the pre-fix behaviour exactly, for A/B.
• mgpuDrainSpinBudgetMs() reports what the loaded binary implements — use it to assert you are not running a stale artifact.

Affects every caller that waits on GPU work through this drain: the shared output texture present, Dawn-side debug reads, and the video import path. Measured through a zero-readback present: p50 15.69 → 2.57 ms at 720p and 15.69 → 10.07 ms at 4K. (The pre-fix number being identical at 9× the pixels is the tell — a cost invariant in the work is a clock tick, not work.)

Shared-texture present: correctness

mgpuCopyBufferToSharedOutputTexture returns only after wgpuQueueOnSubmittedWorkDone. That wait is load-bearing: removing it (MGPU_PRESENT_NO_WAIT=1, provided for testing) measured 11 torn + 28 stale consumer-visible surfaces out of 40 at 4K. The async twin still performs the same wait, just on the worker thread, so it is not a fire-and-forget shortcut.

mgpuDebugConsumerChecksumSharedHandle(handle, w, h) hashes the surface through an independent ID3D11Device — the consumer's view. The older …DebugReadFirstPixel reads through Dawn's own device, whose immediate context serialises against Dawn's submissions, making it structurally incapable of observing a torn present; use the consumer checksum for any tearing gate.

Known gap: mgpuCopyBufferF32ToSharedOutputTexture and mgpuVideoTextureBGRAToRGBASharedOutput return without that completion wait. Measurement says single-device D3D11 ordering holds at 720p (60/60 fresh) but breaks at 4K, where the copy is large enough to lose the race. They have no live Dart callers today; fix them before adopting either.