Fix: raise error if device memory allocation fails (#451)#453
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…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.
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| RuntimeError, | ||
| match="Failed to allocate memory", | ||
| ): | ||
| N = 0x7F_FF_FF_FF |
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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.
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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
ndarraythat supports only int32 indexing (same with(1 << 32) - 1btw).
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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.cppas well - or raise the error in
llvm_runtime_executor.cppinstead
A chose the latter because the error message is in one place.
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Opus 4.6 review: |
| 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;There was a problem hiding this comment.
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 :)
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| if (!info.ptr) { | ||
| DeviceAllocation fail_alloc; | ||
| fail_alloc.alloc_id = -1; |
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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 ¶ms,
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 ¶ms) {
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 ¶ms, 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; }
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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
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@claude review |
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.
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@claude review |
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@claude review |
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.
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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.
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Thanks! |
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(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>
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
nullptrDevAllocwithalloc_id := 1to signal allocation failure