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Fix: raise error if device memory allocation fails (#451)#453

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hughperkins merged 10 commits into
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v01dXYZ:fail-device-mem-alloc
Apr 25, 2026
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Fix: raise error if device memory allocation fails (#451)#453
hughperkins merged 10 commits into
Genesis-Embodied-AI:mainfrom
v01dXYZ:fail-device-mem-alloc

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@v01dXYZ

@v01dXYZ v01dXYZ commented Apr 7, 2026

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Previously, device memory allocation silently failed and returned the previous value stored in the result buffer. For example, a ndarray failed allocation could return a pointer to a previous allocated ndarray. Even so it would fail at memset time when zero filling it, it is wrong and confusing to debug.

Issue: #451

Brief Summary

  • clear the result buffer with nullptr
  • Use a DevAlloc with alloc_id := 1 to signal allocation failure

…AI#451)

Previously, device memory allocation silently failed and returned the
previous value stored in the result buffer. For example, a ndarray
failed allocation could return a pointer to a previous allocated
ndarray. Even so it would fail at memset time when zero filling it, it
is wrong and confusing to debug.

@claude claude Bot left a comment

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Claude Code Review

This pull request is from a fork — automated review is disabled. A repository maintainer can comment @claude review to run a one-time review.

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Comment thread tests/python/test_fail_device_memory_allocation.py Outdated
RuntimeError,
match="Failed to allocate memory",
):
N = 0x7F_FF_FF_FF

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P2 Badge Use an allocation size that reliably exceeds device capacity

The test hard-codes N = 0x7F_FF_FF_FF (~2 GiB), which can successfully allocate on many modern GPUs (especially on CUDA mem-pool setups), so pytest.raises(RuntimeError) becomes environment-dependent and may fail even when the code is correct. This makes the test flaky/non-deterministic across CI machines with different VRAM; the requested size should be derived to exceed available device memory in the running environment.

Useful? React with 👍 / 👎.

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also can we make N more intuitive to read please?

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oh I see this is old code, not part of your PR.

REquest still stands though :)

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oh wait, I was looking at a single commit. So yes, it's part of your change. Let's make N intuitive to read please.

@v01dXYZ v01dXYZ Apr 7, 2026

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The reason I used this N is to make clear all bits are set (except the most significant one). I could use the equivalent (1 << 31) - 1.

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what is the goal of making sure all bits are set?

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did you intend to make sure all bits in 64-bits are set?

ie (1 << 63) - 1 ?

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  • setting almost all bits to 1: Just to be sure it maxes out.
  • (1 << 63) - 1 is rejected by ndarray that supports only int32 indexing (same with (1 << 32) - 1 btw).

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Per Claude, 31 bits is only 2GB, which sounds about right to me, since 2^32 is about 4 billion, so 2^31 is about 2 billion, which is 2GB.

Maybe you need to make multiple allocations, until you hit OOM?

info.ptr = DeviceMemoryPool::get_instance(Arch::amdgpu,
false /*merge_upon_release*/)
.allocate_with_cache(this, params);
QD_ASSERT(info.ptr != nullptr);

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can you clarify why this asserted wasnt catching the issue please.

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It was catching the issue but I've got two options to make this error platform independent:

  • put it in cuda/cuda_device.cpp as well
  • or raise the error in llvm_runtime_executor.cpp instead

A chose the latter because the error message is in one place.

@hughperkins

hughperkins commented Apr 7, 2026

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Opus 4.6 review:

  Two commits on this branch, touching 5 files. Here's my read:
  What it does: Replaces crash-on-failure behavior with proper error propagation when GPU memory allocation fails. Both the CUDA and AMDGPU backends now return a sentinel
  DeviceAllocation with alloc_id = -1 instead of either asserting (QD_ASSERT in AMDGPU, which would abort) or silently continuing with a null pointer (CUDA, which would crash at
   memset). The LLVM runtime executor then catches that sentinel and raises a meaningful QD_ERROR_IF.
  Looks good:
  • The overall intent is solid — turning aborts/segfaults into a catchable RuntimeError is a clear win.
  • The AMDGPU change is especially nice since it replaces a hard QD_ASSERT that would kill the process.
  • The CUDA path previously had a subtle bug: a null info.ptr would skip memset but continue as if the allocation succeeded. Now it fails explicitly.
  • The test is clean and directly exercises the intended behavior.
  • The second commit fixing qd.gpu in the test decorator makes sense — without it the test would only run on CPU where this path isn't hit.

  One concern — `runtime.cpp`:

   quadrants/runtime/llvm/runtime_module/runtime.cpp lines 952-958

                                        std::size_t size,
                                        std::size_t alignment,
                                        uint64 *result) {
  +  *result = (uint64) nullptr;
     *result = quadrants_union_cast_with_different_sizes<uint64>(
         runtime->allocate_aligned(runtime->runtime_memory_chunk, size,
                                   alignment));

  The *result = (uint64) nullptr; line is immediately overwritten by the next assignment. It's a no-op — the only scenario it would matter is if allocate_aligned threw an
  exception, but then *result wouldn't be read anyway since the stack would unwind. This line should probably be removed, or if the intent is defensive initialization, it needs
  a different approach (e.g., checking the return value after the call).
  Minor design note: Using alloc_id = -1 as a sentinel works but is a bit fragile convention-wise. If this codebase ever grows, a std::optional<DeviceAllocation> or a
  result/error type would be more self-documenting. Not a blocker for this PR though.
  Overall: good change, just that one dead line in runtime.cpp that should be cleaned up or rethought.

std::size_t size,
std::size_t alignment,
uint64 *result) {
*result = (uint64) nullptr;

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please check Opus's comment for this line

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Here is a comment I put in there but removed as it was verbose:

// [ON DEVICE] At allocation failure, the runtime error flag is raised and the allocation kernel
// is aborted. If no clearing, the result would be the previous stored value (which could be for
// example the result of a previous allocation for a ndarray).
*result = nullptr;

@v01dXYZ v01dXYZ Apr 7, 2026

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On amdgpu, assert is implemented using s_endpgrm which is equivalent to return;, simply stopping the kernel as a normal exit. I don't know if the nvidia path makes the kernel sends a signal to the host process, but either way, it means *result is left untouched.

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That's not a dumb question maybe it could be useful to mark the assert functions as [noreturn].

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Please create a unit test that fails if we remove the *result = nullptr; line, to demonstrate the issue.

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Asked Opus about this:

thoughts on '*result = nullptr in runtime.cpp needing a test'?

I think writing a test for that line is impractical, and the line itself is redundant. Here's why:

The *result = nullptr in runtime.cpp:916 runs on-device (GPU kernel). It's immediately overwritten by the allocate_aligned call on line 917-918. The only scenario it would
matter is if allocate_aligned triggers a device-side assert that halts the kernel before writing to *result, leaving it with a stale value.

But both callers already zero the result buffer from the host side before invoking the kernel:

• CudaDevice::allocate_llvm_runtime_memory_jit (line 87-88): memcpy_host_to_device(params.result_buffer, &zero, ...)
• AmdgpuDevice::allocate_llvm_runtime_memory_jit (line 97-98): same thing

So the on-device *result = nullptr is fully redundant with the host-side zeroing. If the kernel aborts before writing a result, the host reads back the zero it already wrote.

As for testing: you'd need to trigger a device-side assert inside allocate_aligned (pool exhaustion), then verify the host reads back null rather than a stale pointer. That's
extremely architecture-specific behavior (depends on how GPU asserts interact with memory writes) and would be very fragile.

My recommendation: the on-device *result = nullptr line could be removed since the host-side zeroing already covers the case. But it's also harmless as belt-and-suspenders.
Either way, a test for it would be testing GPU assert memory semantics, not application logic -- not worth the effort.

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I will just leave it for now :)

Comment thread quadrants/rhi/amdgpu/amdgpu_device.cpp Outdated

if (!info.ptr) {
DeviceAllocation fail_alloc;
fail_alloc.alloc_id = -1;

@hughperkins hughperkins Apr 7, 2026

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I asked Opus: maybe it's worth using an enum or something instead of hard-coding -1?

Opus reply:

  Yeah, agreed. alloc_id is a uint64_t, so -1 silently wraps to UINT64_MAX — that works but is a magic number scattered across three files. A named constant would be much
  clearer.
  The most natural fit given the existing code style would be a constexpr next to the DeviceAllocationId typedef, plus a small helper on the struct. Something like:

  using DeviceAllocationId = uint64_t;
  constexpr DeviceAllocationId kDeviceAllocationFailed = static_cast<DeviceAllocationId>(-1);

  Then DeviceAllocation could get a convenience method:

  bool is_valid() const { return alloc_id != kDeviceAllocationFailed; }

  That turns the three usage sites into:

  // in cuda_device.cpp / amdgpu_device.cpp
  fail_alloc.alloc_id = kDeviceAllocationFailed;
  // in llvm_runtime_executor.cpp
  QD_ERROR_IF(!devalloc.is_valid(), ...);

  Reads immediately — no need to remember what -1 means. And if the sentinel value ever needs to change, it's in one place.

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I asked Opus: what would be involved in your other suggestion std::optional or a
result/error type ?

Opus reply:

  Good question. Let me map out what each approach would actually touch.
  The call chain is:

  CudaDevice::allocate_memory_runtime()        ──┐
  AmdgpuDevice::allocate_memory_runtime()       ──┼──► LlvmRuntimeExecutor::allocate_memory_on_device()
  CpuDevice::allocate_memory_runtime()          ──┘         │
       ▲ (virtual, declared in LlvmDevice)                  ▼
                                                 kernel_launcher.cpp (cuda + amdgpu)
                                                 program.h / llvm_program.h

  So you'd be changing a virtual method signature across a 4-class hierarchy plus all callers. Concretely, 8 files:

  ┌────────────────────────────────────────┬──────────────────────────┐
  │ File                                   │ Change                   │
  ├────────────────────────────────────────┼──────────────────────────┤
  │ rhi/llvm/llvm_device.h                 │ Base virtual declaration │
  │ rhi/cuda/cuda_device.h                 │ Override declaration     │
  │ rhi/cuda/cuda_device.cpp               │ Override definition      │
  │ rhi/amdgpu/amdgpu_device.h             │ Override declaration     │
  │ rhi/amdgpu/amdgpu_device.cpp           │ Override definition      │
  │ rhi/cpu/cpu_device.h                   │ Override declaration     │
  │ rhi/cpu/cpu_device.cpp                 │ Override definition      │
  │ runtime/llvm/llvm_runtime_executor.cpp │ Caller                   │
  └────────────────────────────────────────┴──────────────────────────┘

  Interestingly, the codebase already has a convention for this. The sibling method allocate_memory() already uses RhiResult with an output parameter:

   quadrants/rhi/public_device.h lines 616-617

    virtual RhiResult allocate_memory(const AllocParams &params,
                                      DeviceAllocation *out_devalloc) = 0;

  And RhiResult already has an out_of_memory variant:

   quadrants/rhi/public_device.h lines 41-47

  enum class RhiResult {
    success = 0,
    error = -1,
    invalid_usage = -2,
    // ...
    out_of_memory = -4,
  };

  In fact, CpuDevice::allocate_memory_runtime already delegates to allocate_memory() internally and gets an RhiResult back — it just throws it away:

   quadrants/rhi/cpu/cpu_device.cpp lines 44-51

  DeviceAllocation CpuDevice::allocate_memory_runtime(
      const LlvmRuntimeAllocParams &params) {
    DeviceAllocation alloc;
    RhiResult res = allocate_memory(params, &alloc);
    RHI_ASSERT(res == RhiResult::success &&
               "Failed to allocate memory for runtime");
    return alloc;
  }

  So here's the comparison:

  ────────────────────────────────────────

  Option 1: `std::optional<DeviceAllocation>` — minimal, but you lose the "why":

  // llvm_device.h
  virtual std::optional<DeviceAllocation> allocate_memory_runtime(...);
  // cuda_device.cpp
  if (!info.ptr) return std::nullopt;
  // llvm_runtime_executor.cpp
  auto devalloc = llvm_device()->allocate_memory_runtime(...);
  QD_ERROR_IF(!devalloc.has_value(), "Failed to allocate...");

  Pro: Clean, modern C++, no sentinel values. Con: Tells you it failed, but not why (OOM vs invalid params vs something else).

  ────────────────────────────────────────

  Option 2: Match the existing `RhiResult` + out-param convention — more consistent with the codebase:

  // llvm_device.h
  virtual RhiResult allocate_memory_runtime(
      const LlvmRuntimeAllocParams &params, DeviceAllocation *out_devalloc);
  // cuda_device.cpp
  if (!info.ptr) return RhiResult::out_of_memory;
  // llvm_runtime_executor.cpp
  DeviceAllocation devalloc;
  RhiResult res = llvm_device()->allocate_memory_runtime(..., &devalloc);
  QD_ERROR_IF(res != RhiResult::success, "Failed to allocate...");

  Pro: Consistent with allocate_memory(), carries error reason, CpuDevice would simplify (it already gets an RhiResult internally). Con: Slightly more boilerplate,
  output-parameter style.

  ────────────────────────────────────────

  My take: Option 2 (the RhiResult pattern) is probably the right call here since the codebase already uses it for the sibling method. But it's a noticeably bigger change than
  slapping a constexpr on the sentinel — 8 files and a virtual signature change vs. 4 lines in a header.
  For this PR specifically, the constexpr kDeviceAllocationFailed approach gets you 80% of the benefit with 20% of the churn. The RhiResult refactor could be a clean follow-up
  PR.

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I'm fine with the current approach. Mostly because it avoids my having to read a new much-bigger PR 😅 Lets apply the suggestions in opus's first reponse though please;

using DeviceAllocationId = uint64_t;
constexpr DeviceAllocationId kDeviceAllocationFailed = static_cast(-1);

Then DeviceAllocation could get a convenience method:

bool is_valid() const { return alloc_id != kDeviceAllocationFailed; }

@v01dXYZ v01dXYZ Apr 7, 2026

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I could add to DeviceAlloc structure a constexpr FAILED_ALLOC_ID = -1. Is that fin? Do you want to have a method to check if DevAlloc is valid?

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can you outline:

  • how is this different from the proposal above?
  • what you see as the good and bad points of each approach?

# Conflicts:
#	quadrants/rhi/amdgpu/amdgpu_device.cpp
#	quadrants/runtime/llvm/llvm_runtime_executor.cpp
#	quadrants/runtime/llvm/runtime_module/runtime.cpp
@hughperkins

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@claude review

Comment thread quadrants/rhi/cuda/cuda_device.cpp Outdated
Add a named constant and convenience method to DeviceAllocation so
the allocation-failure convention is self-documenting and centralised.
The failure check was placed after the if/else block, so
info.size==0 (which deliberately sets ptr=nullptr) was
misidentified as an OOM failure. Move the check inside the
allocate_with_cache branch only, matching amdgpu_device.cpp,
and restore the if(info.ptr) guard around memset.
Replace hardcoded 0x7F_FF_FF_FF (2GB) with a loop that allocates
1GB chunks until OOM, so the test reliably triggers failure on
GPUs with large VRAM. Add test_zero_size_ndarray_does_not_crash
to guard against the zero-size allocation regression.
@hughperkins

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@claude review

@hughperkins

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@claude review

Comment thread tests/python/test_fail_device_memory_allocation.py
The exact error message varies across backends (LLVM pool,
CUDA malloc_async, Metal, Vulkan). Only assert that OOM raises
a RuntimeError rather than crashing or silently succeeding.
@hughperkins

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@claude review

Zero-size shapes are rejected at the Python validation layer
before reaching the allocation code, so this test can't exercise
the internal code path it was meant to cover.
@hughperkins

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Thanks!

@hughperkins
hughperkins merged commit a747b4e into Genesis-Embodied-AI:main Apr 25, 2026
38 of 46 checks passed
npoulad1 added a commit to ROCm/quadrants that referenced this pull request Jun 8, 2026
* [Misc] Warn user to disable caching when print_ir/QD_DUMP_IR enabled (Genesis-Embodied-AI#425)

Co-authored-by: v01dxyz <v01dxyz@v01d.xyz>

* [Build] Pin torch version to CUDA 12.8 for CUDA tests (Genesis-Embodied-AI#428)

* [Misc] Fixing up taichi-dev urls (Genesis-Embodied-AI#429)

* [Perf] Rename cuda_graph to gpu_graph across the codebase (Genesis-Embodied-AI#430)

* Misc: fix typo integeral -> integral (Genesis-Embodied-AI#434)

Co-authored-by: v01dxyz <v01dxyz@v01d.xyz>

* [Perf] CUDA graph 4: call from multiple locations (Genesis-Embodied-AI#420)

* [Bug] Fix fastcache not restoring graph_do_while_arg (Genesis-Embodied-AI#435)

* [Perf] Cache last-call result in perf_dispatch for single-compatible case (Genesis-Embodied-AI#438)

* Fix gpu_graph fallback on old Nvidia GPU. (Genesis-Embodied-AI#443)

* Fix shared memory offset not reset between CUDA kernels. (Genesis-Embodied-AI#442)

* [Misc] Allow disabling GPU graph via QD_GPU_GRAPH=0 env var (Genesis-Embodied-AI#439)

* [Misc] Add named top-level loops (Genesis-Embodied-AI#440)

* [Misc] Rename gpu_graph to graph (Genesis-Embodied-AI#446)

* [Misc] Add cross-platform shuffle (Genesis-Embodied-AI#447)

* [Bug] Fix graph_do_while on Windows: search for cudadevrt.lib (Genesis-Embodied-AI#456)

* [Bug] Also search default CUDA toolkit install location on Windows (Genesis-Embodied-AI#461)

* [SPIRV] Feature Parity Atomics & Shared Array (Genesis-Embodied-AI#432)

* [Misc] Change clang format to 120 characters (Genesis-Embodied-AI#463)

* [Misc] CUDA graph 5 Add fatbin (Genesis-Embodied-AI#464)

* [Bug] Reuse VkInstance across init/reset cycles (Genesis-Embodied-AI#465)

* [Perf] Tiles 1: _load, _store, _eye_ (Genesis-Embodied-AI#466)

* [Misc] Remove dead InternalFuncStmt type_check override (Genesis-Embodied-AI#471)

* [Perf] Tiles 2: add cholesky and ger (Genesis-Embodied-AI#472)

* [Perf] Tiles 2b: add triangular solve (Genesis-Embodied-AI#474)

* [Misc] Refactor: use _get_col/_set_col in tiles load/store/init (Genesis-Embodied-AI#475)

* [Build] Fix flaky test_clock_accuracy (Genesis-Embodied-AI#436)

* Fix AARCH64 emitting invalid asm in CUDA kernels. (Genesis-Embodied-AI#473)

Co-authored-by: Hugh Perkins <hughperkins@gmail.com>

* [AMDGPU] Enable HIP memory pool and surface pool-exhaustion errors. (Genesis-Embodied-AI#485)

* [AMDGPU] Scope hsaco tmp dir per-user to avoid collisions. (Genesis-Embodied-AI#484)

* [Perf] Tiles 3: Add slice syntax, qd.outer() and initial doc (Genesis-Embodied-AI#477)

* [AMDGPU] Fix gradient computation. (Genesis-Embodied-AI#486)

* Enable all backends that are supported in unit tests. (Genesis-Embodied-AI#488)

* Fix SPIRV ID overflow for large kernels due to autodiff. (Genesis-Embodied-AI#489)

* [Misc] Fix purity checker to allow accessing constants from quadrants modules (Genesis-Embodied-AI#487)

* [Misc] Increase tolerance for clock monotonic test (Genesis-Embodied-AI#492)

* [CI] Serialize api doc workflow (Genesis-Embodied-AI#494)

* [CI] Increase tolerance for clock test (Genesis-Embodied-AI#506)

* [CI] Increase clock test tolerance to 20% (Genesis-Embodied-AI#509)

* [Perf] Add tensor_type parametrization to tile16 tests (Genesis-Embodied-AI#504)

* [Perf] Tiles 4b: Migrate tiles16 tests to enable fastcache (Genesis-Embodied-AI#505)

* [Perf] Tiles 4c: add Tiles16x16 proxy (Genesis-Embodied-AI#507)

* [Perf] Tiles 4d: Consolidate slice error tests using parametrize (Genesis-Embodied-AI#508)

* [Perf] Tiles 4: add SharedArray slice support (Genesis-Embodied-AI#482)

* [Perf] Tiles 5: add Cholesky benchmark demo (Genesis-Embodied-AI#483)

* [Doc] Add user guide page for subgroup shuffle (Genesis-Embodied-AI#512)

* [Perf] Implement cross-platform shuffle_down (Genesis-Embodied-AI#510)

* [Perf] Add portable subgroup reduce_add and reduce_all_add (Genesis-Embodied-AI#511)

* [Perf] Add first warmup config to perf dispatch (Genesis-Embodied-AI#422)

* [AutoDiff] Autodiff 1: Add baseline adstack regression test for unary_collections (Genesis-Embodied-AI#500)

* [AutoDiff] Autodiff 2: Implement derivative for tan (Genesis-Embodied-AI#501)

* [AutoDiff] Autodiff 3: Recompute tanh/exp on the operand in the reverse pass (Genesis-Embodied-AI#502)

* [AutoDiff] Autodiff 4: Mark rsqrt as non-linear for adstack promotion (Genesis-Embodied-AI#503)

* [AutoDiff] Autodiff 5: Fix adjoint-alloca placement for GlobalLoads outside the current range-for (Genesis-Embodied-AI#496)

* [AutoDiff] Autodiff 6: Adstack regression tests (Genesis-Embodied-AI#491)

* [AutoDiff] Autodiff 7: Fix header size in AdStackAllocaStmt to match u64 runtime layout (Genesis-Embodied-AI#534)

* [AutoDiff] Autodiff 8: Surface LLVM adstack push/pop overflow as a Python exception (Genesis-Embodied-AI#535)

* [AutoDiff] Autodiff 9: Guard against LLVM worker-thread stack overflow from large per-task adstack budget (Genesis-Embodied-AI#495)

* [AutoDiff] Autodiff 10: Implement adstack for SPIR-V (Genesis-Embodied-AI#490)

* [AutoDiff] Autodiff 11: Latent adstack-adjacent fixes (AMDGPU hipFree, flush() keeps ctx_buffers_, always-preallocate) (Genesis-Embodied-AI#536)

* [Doc] Add AGENTS.md with instructions for AI agents (Genesis-Embodied-AI#541)

* [Bug] Abort kernel execution on assertion failure instead of segfaulting (Genesis-Embodied-AI#419)

* [Type] ndarray typing 1: Add eval_str=True to inspect.signature() calls (Genesis-Embodied-AI#411)

* [CI] Suppress reportPrivateImportUsage in torch-using files (Genesis-Embodied-AI#552)

* [Misc] QD_DUMP_IR dumps to files with the task_id added to the filename (Genesis-Embodied-AI#441)

* [Type] ndarray typing 2: Fix NDArray single-arg subscript crash (Genesis-Embodied-AI#412)

* [Test] Flush xdist channel before worker exit so test failure reports are visible (Genesis-Embodied-AI#555)

* [CI] Reduce test retries on CI from 3 to 1. (Genesis-Embodied-AI#554)

* [AutoDiff] Autodiff 12: Heap-backed adstack on LLVM backends (CPU/CUDA/AMDGPU) (Genesis-Embodied-AI#537)

* [AutoDiff] Autodiff 13: Heap-backed adstack on SPIR-V backends (Metal, Vulkan) (Genesis-Embodied-AI#493)

* [AutoDiff] Autodiff 14: Resolve bounded-inner-loop adstacks without default_ad_stack_size fallback (Genesis-Embodied-AI#539)

* [SPIRV] Vulkan SPIR-V correctness: atomic-view aliasing, PSB stride, narrow storage caps, u1 cast, per-init layer recheck (Genesis-Embodied-AI#513)

* [Build] Autodiff 15: Replace 2022 MoltenVK pin with LunarG Vulkan SDK fetch and sanitise MoltenVK cap advertisement (Genesis-Embodied-AI#551)

* [Test] Suppress stock pytest-timeout to avoid conflict with pytest_hardtle (Genesis-Embodied-AI#557)

* [Vulkan] Use SDK validation layer for debugPrintf instead of apt package (Genesis-Embodied-AI#562)

* [Test] Fix flaky perf_dispatch tests by increasing work amounts (Genesis-Embodied-AI#559)

* [Test] Add --maxfail CLI option to run_tests.py (default 20) (Genesis-Embodied-AI#558)

* [CI] Vulkan debug printf fix to address flaky tests (Genesis-Embodied-AI#563)

* [Docs] Add a new page to help for first time contributors (Genesis-Embodied-AI#426)

Authored-by: v01dxyz <v01dxyz@v01d.xyz>

* [AutoDiff] Autodiff 16: Resolve reverse-mode adstack depths per-launch via runtime-evaluated SizeExpr (Genesis-Embodied-AI#543)

* Fix: raise error if device memory allocation fails (Genesis-Embodied-AI#451) (Genesis-Embodied-AI#453)

Co-authored-by: v01dxyz <v01dxyz@v01d.xyz>
Co-authored-by: Hugh Perkins <hughperkins@gmail.com>

* [CI] Add CI job to check line wrapping of comments and docs (Genesis-Embodied-AI#564)

* [Misc] Add coverage report to PRs, including kernels (Genesis-Embodied-AI#470)

* [CI] CI wrap check feeds only diffs to agent (Genesis-Embodied-AI#567)

* Skip 'flaky' test on MacOS CI. (Genesis-Embodied-AI#573)

* [Test] Fix missing `import sys` in test_fail_device_memory_allocation (Genesis-Embodied-AI#574)

* [CI] Fix Vulkan debugPrintf flake with session-scoped warmup (Genesis-Embodied-AI#571)

* [AutoDiff] determine_ad_stack_size: replace whole-CFG Bellman-Ford with SCC + DAG DP (Genesis-Embodied-AI#575)

* [Test] Fix macOS OOM skip reason to describe actual root cause (Genesis-Embodied-AI#576)

* [Lang] whole_kernel_cse: 2.5x compile time speedup on large kernels (Genesis-Embodied-AI#577)

* [CI] Add CI check for unnecessarily deleted comments (Genesis-Embodied-AI#570)

* [CI] Migrate coverage report to github Check page (Genesis-Embodied-AI#566)

* [Lang] Skip IR verifier between passes unless debug=true (Genesis-Embodied-AI#579)

* [Lang] Inline AdStack ops on release LLVM codegen: dramatically reduces compile time for adstack-enabled reverse-mode kernels (Genesis-Embodied-AI#584)

* [CUDA] Honor offline_cache=False end-to-end so QD_OFFLINE_CACHE=0 actually gives a cold compile (Genesis-Embodied-AI#580)

* [Type] Tensor 24 (Genesis-Embodied-AI#561)

Co-authored-by: hugh <hugh@slurm-login-0.slurm-login.tenant-slurm.svc.cluster.local>

* [Lang] auto_diff host-walk reductions: dramatically faster front-end compile time on adstack-enabled reverse-mode kernels (Genesis-Embodied-AI#587)

* [AutoDiff] Speed up reverse-mode kernel launches on GPU backends (Genesis-Embodied-AI#578)

* [Vulkan] Move adstack-sizer scratch out of Function-scope memory to fix SPIR-V pipeline build failures (Genesis-Embodied-AI#588)

* [AutoDiff] Improve diagnosis of unsupported reverse-mode AD patterns (Genesis-Embodied-AI#590)

* [Bug] Fix: promote Ndarray to AnyArray in build_Name for flattened struct fields (Genesis-Embodied-AI#592)

* [SPIR-V] Shrink reverse-grad kernel MSL by ~50% (Genesis-Embodied-AI#591)

* [CI] Add CI check that PR changes have test coverage (Genesis-Embodied-AI#596)

* [Perf] Enable zero-copy in to_torch() and to_numpy() (Genesis-Embodied-AI#450)

* Add BufferView: safe sub-range ndarray access for kernels (Genesis-Embodied-AI#585)

Co-authored-by: alanray-tech <alanray-tech@users.noreply.github.com>
Co-authored-by: Hugh Perkins <hughperkins@gmail.com>

* [Doc] Add user-facing fastcache documentation (Genesis-Embodied-AI#597)

Co-authored-by: hugh <hugh@slurm-login-0.slurm-login.tenant-slurm.svc.cluster.local>

* [Misc] Upgrade to enable v1 dlpack so to_numpy(copy=False) writable (Genesis-Embodied-AI#598)

Co-authored-by: root <root@rtx-209-201.slurm-compute.tenant-slurm.svc.cluster.local>

* [AutoDiff] Cut reverse-mode adstack memory usage 10x on all backends (Genesis-Embodied-AI#599)

* [Misc] Add CI check for feature file factorization (Genesis-Embodied-AI#606)

* [Perf] Skip _recursive_set_args for all-Field frozen dataclass structs (Genesis-Embodied-AI#607)

Co-authored-by: Cursor <cursoragent@cursor.com>

* [AutoDiff] SNode-arm bound-expr capture rejects fold-attack gate indices (Genesis-Embodied-AI#610)

* [Misc] Suppress field fastcache warning for qd.Tensor (Genesis-Embodied-AI#615)

Co-authored-by: Cursor <cursoragent@cursor.com>

* [AutoDiff] Adstack heap: clip reducer count by per-task loop trip count (compile-time and SizeExpr-evaluated) (Genesis-Embodied-AI#611)

* [Misc] Forward copy= through qd.Tensor, add copy=None option (Genesis-Embodied-AI#616)

Co-authored-by: Cursor <cursoragent@cursor.com>

* [Doc] Update README (Genesis-Embodied-AI#617)

Co-authored-by: Cursor <cursoragent@cursor.com>

* [CI] Fix coverage report showing def lines as uncovered (Genesis-Embodied-AI#623)

Co-authored-by: Cursor <cursoragent@cursor.com>

* [Perf] Generic launcher: persistent context, JIT-pointer reuse, Metal compute encoder, LLVM-GPU async memory ops (Part 1/2) (Genesis-Embodied-AI#619)

* [CI] Encode Python-first testing policy in coverage-check prompt (Genesis-Embodied-AI#622)

Co-authored-by: Cursor <cursoragent@cursor.com>

* [CI] Add PR Line change report (Genesis-Embodied-AI#624)

Co-authored-by: Cursor <cursoragent@cursor.com>

* [CI] Disable quadrants pytest plugin during quadrants internal coverage runs (Genesis-Embodied-AI#629)

Co-authored-by: Cursor <cursoragent@cursor.com>

* [AutoDiff] Adstack load+store eliminations: EliminateRecomputableAdStackPushes pass + leaf extensions (Genesis-Embodied-AI#621)

* [CI] Simplify coverage PR comment to a single linked line (Genesis-Embodied-AI#630)

* [CUDA] Add AGX Thor, SM_110 (Genesis-Embodied-AI#631)

Co-authored-by: Johnny Nunez and Hugh Perkins

* [CI] Lines changed report: collapse PR comment to a single linked totals line (Genesis-Embodied-AI#632)

* [FEATURE] Support external Metal command queue via qd.init (Genesis-Embodied-AI#618)

Co-authored-by: Cursor <cursoragent@cursor.com>

* [Perf] Cache adstack-sizer metadata per task across SPIR-V + LLVM-GPU; per-snode / DeviceAllocation invalidation (Part 2/2) (Genesis-Embodied-AI#620)

* [AutoDiff] Disable EliminateRecomputableAdStackPushes pending mutated-SNode chain-leaf fix (Genesis-Embodied-AI#633)

* [AutoDiff] Adstack chain-clone safety: mutated-SNode leaf reject + load_top consumer-aware guard (Genesis-Embodied-AI#634)

* [Docs] Add user-guide page for qd.simt.block.* primitives (Genesis-Embodied-AI#638)

* [Docs] Expand qd.simt.subgroup user-guide page to cover every op (Genesis-Embodied-AI#639)

* [Perf] Streams 1-4 (Genesis-Embodied-AI#410)

* [Docs] Add user-guide page for matrix decompositions and solvers (Genesis-Embodied-AI#643)

* [Bug] Revert "[Perf] Streams 1-4 (Genesis-Embodied-AI#410)" (Genesis-Embodied-AI#650)

* [Docs] Add user-guide page for atomics and bit operations (Genesis-Embodied-AI#640)

* [Docs] Add user-guide page for qd.simt.grid.* primitives (Genesis-Embodied-AI#641)

* [AutoDiff] Adstack max-reducer: parallel multi-axis MaxOverRange dispatch (Genesis-Embodied-AI#635)

* [AMDGPU] Fix amdgpu parallel rand init (Genesis-Embodied-AI#658)

* [Perf] Adstack: skip max-reducer recognizer on CPU + lift host-eval cap (Genesis-Embodied-AI#655)

* [Perf] Re-land Streams 1-4 with bug fixes (Genesis-Embodied-AI#653)

* [AMDGPU] Apply device_memory_GB=0.3 cap to AMDGPU tests (Genesis-Embodied-AI#659)

* [Perf] Per-launch host sync: drop wait_idle on SPIR-V, pin stream and drop stream_synchronize on CUDA/AMDGPU (Genesis-Embodied-AI#654)

* [AMDGPU] Unload hipModule_t in JITModuleAMDGPU destructor (Genesis-Embodied-AI#660)

* [AMDGPU] Trim default mempool on qd.reset() (Genesis-Embodied-AI#669)

* [AMDGPU] Hoist rand-state buffer to process lifetime (Genesis-Embodied-AI#668)

* [Streams] Use events for streams serialization on AMDGPU and CUDA (Genesis-Embodied-AI#667)

* [Perf] Adstack max-reducer: launch cache + zero-copy result map; content-stable registry_id (Genesis-Embodied-AI#671)

* [SPIR-V] dispatch_max_reducers: register each task with the real kernel name (Genesis-Embodied-AI#675)

* [AutoDiff] Debug-mode field/grad/dual: dtype, layout, and access-time invariants (Genesis-Embodied-AI#677)

* [Docs] Add user-guide page for qd.algorithms.* device-wide algorithms (Genesis-Embodied-AI#642)

Co-authored-by: alanray-tech <alan.ray@genesis-ai.company>

* [Docs] Doc for existing atomics: switch support table to per-backend columns (Genesis-Embodied-AI#657)

Co-authored-by: alanray-tech <alan.ray@genesis-ai.company>

* [GPU] Cross gpu atomics (Genesis-Embodied-AI#666)

Co-authored-by: alanray-tech <alan.ray@genesis-ai.company>

* [GPU] Make block operations portable cross-gpu (Genesis-Embodied-AI#664)

* [Perf] CPU LLVM adstack-cache: skip per-launch bump-writes + ndarray_shapes capture on forward-only handles (Genesis-Embodied-AI#685)

* [GPU] Cross-GPU for grid ops (Genesis-Embodied-AI#670)

* [Math] Make bitop operations portable cross-gpu (Genesis-Embodied-AI#662)

* [AMDGPU] Always use wave64, on both RDNA and CDNA (Genesis-Embodied-AI#687)

* [AMDGPU] Use syncscope("agent") for atomix xor to avoid CAS livelock (Genesis-Embodied-AI#672)

* [GPU] New bit ops for QIPC (Genesis-Embodied-AI#679)

* [GPU] Subgroup ops cross-gpu (Genesis-Embodied-AI#665)

* [Graph] Rename CUDA Graph to Graph in docs (Genesis-Embodied-AI#691)

* [SPIR-V] Fix FIFO-queue ordering when sharing command queue. (Genesis-Embodied-AI#694)

* [Atomics] New QIPC ops for atomics (Genesis-Embodied-AI#690)

* Pass dataclass sub-structs into qd.func (Genesis-Embodied-AI#698)

* [AMDGPU] HIP graph runtime support for @qd.kernel(graph=True) (Genesis-Embodied-AI#692)

* [CI] Add per-file timing report to Mac Metal test job (Genesis-Embodied-AI#695)

Co-authored-by: Cursor <cursoragent@cursor.com>

* [CI] Enable kernel disk cache during tests (Genesis-Embodied-AI#696)

* [Math] New QIPC ops for single-threaded linalg (Genesis-Embodied-AI#683)

* [BREAKING][GPU] New QIPC ops for subgroups (Genesis-Embodied-AI#676)

* [GPU] New QIPC ops for block (Genesis-Embodied-AI#684)

* [GPU] New device-level ops for QIPC (Genesis-Embodied-AI#693)

* [algorithms] PrefixSumExecutor: drop unused GRID_SZ local (Genesis-Embodied-AI#701)

* [block] sync(): fix unsupported-arch error message (Genesis-Embodied-AI#700)

* [volatile_load] add qd.volatile_load primitive (closes Genesis-Embodied-AI#648) (Genesis-Embodied-AI#702)

* [AutoDiff] Reject recycled identity_key in AdStackCache::register_adstack_sizing_info (Genesis-Embodied-AI#708)

* [Vulkan] Declare GroupNonUniform SPIR-V caps and enable shaderSubgroupExtendedTypes (Genesis-Embodied-AI#707)

* Fix duplicate HIP graph driver-function declarations after v1.0.0 merge

The amd-integration fork had cherry-picked the HIP graph driver functions
(graph_create / graph_destroy / graph_add_kernel_node / graph_instantiate /
graph_exec_destroy / graph_launch), and upstream v1.0.0 added the same set.
The per-file 3-way merge appended both copies into
amdgpu_driver_functions.inc.h, producing redeclaration errors that broke the
AMDGPU RHI/runtime compile. Drop the upstream duplicate block; the signatures
are identical to the fork's existing declarations.

Co-authored-by: Cursor <cursoragent@cursor.com>

* Fix AMDGPU launcher coherence and num_instructions visibility after v1.0.0 merge

- kernel_launcher.cpp: the 3-way merge spliced upstream v1.0.0's launch_llvm_kernel
  rewrite (ephemeral arg/context buffers, explicit-stream path, AmdgpuDefaultStream
  PinGuard) onto the AMD fork's kernarg-by-value + persistent-scratch design,
  leaving references to undefined `ephemeral_context_ptr`. Restore the fork's
  coherent launch_llvm_kernel verbatim; it calls the (already merged) enhanced
  launch_offloaded_tasks, which keeps the max-reducer dispatch and stream-parallel
  groups adapted onto the AMD launch path.
- llvm_context.h: both the fork and upstream added `num_instructions`; the merge
  kept upstream's private placement, but the AMDGPU codegen force-inline heuristic
  calls it statically from outside the class. Move it back to the public section.

Co-authored-by: Cursor <cursoragent@cursor.com>

* Restore async result D2H and hoist kernarg vectors in AMDGPU launcher

The v1.0.0 merge resolution regressed two amd-integration baseline
optimizations in launch_llvm_kernel / launch_offloaded_tasks:

  - The per-launch result-buffer copy was a blocking memcpy_device_to_host,
    forcing a host stall on every value-returning launch and serializing the
    GPU pipeline. Restore the async D2H (the caller synchronizes lazily when it
    needs the value); external-array transfers still stream_synchronize once
    before reading back.

  - launch_task constructed the kernarg std::vectors from initializer lists
    ({kernarg_payload} / {kernarg_size}) on every dispatch (heap alloc + free
    per launch). Hoist arg_ptrs/arg_sizes out of the per-task launch and reuse.

Co-authored-by: Cursor <cursoragent@cursor.com>

* amdgpu: default to LDS permlane64 emulation; drop host-x86 barrier asm on retarget

Two AMDGPU JIT-compile crashes surfaced after the v1.0.0 merge pulled in the QIPC subgroup
ops (Genesis-Embodied-AI#676), which made the rigid constraint solver's wave-cooperative reductions route through
`amdgpu_cross_half_shuffle_i32`. Both manifested as a SIGSEGV inside
`llvm::SIInstrInfo::getInstSizeInBytes` during `JITSessionAMDGPU::compile_module_to_hsaco`
(i.e. at first kernel launch), and reproduce on gfx942 / MI300X. Baseline 0.4.6 never emitted
these constructs, which is why it was unaffected.

1. Native `llvm.amdgcn.permlane64` lowering crashes the bundled LLVM 22.1.0 AMDGPU backend.
   Default `amdgpu_permlane64` to the existing LDS-roundtrip software emulation on every target
   (it produces identical results). Add `QD_AMDGPU_USE_NATIVE_PERMLANE64=1` to opt back into the
   native instruction once the backend bug is fixed; the old `QD_AMDGPU_FORCE_PERMLANE64_FALLBACK`
   is now the default and still honored. This is the actual crash fix.

2. The runtime module is compiled by the host x86_64 clang and only retargeted to amdgcn here, so
   `amdgpu_cross_half_shuffle_i32`'s `__asm__ volatile("" : "+v"(byte))` optimization barrier carries
   x86 flag clobbers (`~{dirflag},~{fpsr},~{flags}`) that are meaningless on AMDGPU. The IR verifies
   but the empty-body INLINEASM is invalid on the amdgcn target. Neutralize empty-body barrier asm
   during retarget (forward the tied value, then erase) so no stale host asm reaches codegen. On the
   wave64 targets we ship `ds_bpermute` already addresses the full wave, so the hint is a no-op.

Co-authored-by: Cursor <cursoragent@cursor.com>

* style: apply clang-format (v19.1.7) to AMDGPU fn_attrs and launcher sources

CI pre-commit's clang-format hook reformatted these files (long
declarations/lambda signatures collapsed onto single lines per the repo's
clang-format config). Apply the same formatting so the hook passes.

No functional changes.

Co-authored-by: Cursor <cursoragent@cursor.com>

* fix(amdgpu): use CreateNeg for branchless i32 sgn instead of CreateSub(0, input)

clang-tidy (modernize-use-nullptr, -warnings-as-errors) flagged
`builder->CreateSub(0, input)` in the i32 sgn path: the literal `0` binds to
the `llvm::Value*` LHS parameter as a null pointer, not an integer zero.
Replace with `builder->CreateNeg(input)`, which emits `0 - input` with a proper
zero constant -- identical intended semantics, and clang-tidy clean.

Co-authored-by: Cursor <cursoragent@cursor.com>

---------

Co-authored-by: Robert Dazi <14996868+v01dXYZ@users.noreply.github.com>
Co-authored-by: v01dxyz <v01dxyz@v01d.xyz>
Co-authored-by: Hugh Perkins <hughperkins@gmail.com>
Co-authored-by: Alexis DUBURCQ <alexis.duburcq@gmail.com>
Co-authored-by: hugh <hugh@slurm-login-0.slurm-login.tenant-slurm.svc.cluster.local>
Co-authored-by: alanray-tech <alan.ray@genesis-ai.company>
Co-authored-by: alanray-tech <alanray-tech@users.noreply.github.com>
Co-authored-by: root <root@rtx-209-201.slurm-compute.tenant-slurm.svc.cluster.local>
Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: Johnny <johnnynuca14@gmail.com>
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