[Docs] Add user-guide page for atomics and bit operations#640
Conversation
Documents qd.atomic_* (add, sub, mul, min, max, and, or, xor) and the bit-counting helpers qd.math.popcnt / qd.math.clz. Covers semantics (returns old value, per-location atomicity, no fence on the rest of memory), backend / dtype support, performance pitfalls (contention, f64 fast path, atomic_mul CAS loop), and worked examples (slot reservation, histogram, popcnt sum, MSB). Adds atomics.md to the SIMT-primitives toctree in index.md.
There was a problem hiding this comment.
💡 Codex Review
Here are some automated review suggestions for this pull request.
Reviewed commit: 96eaa1904b
ℹ️ About Codex in GitHub
Codex has been enabled to automatically review pull requests in this repo. Reviews are triggered when you
- Open a pull request for review
- Mark a draft as ready
- Comment "@codex review".
If Codex has suggestions, it will comment; otherwise it will react with 👍.
When you sign up for Codex through ChatGPT, Codex can also answer questions or update the PR, like "@codex address that feedback".
|
|
||
| ### `qd.math.popcnt(x)` | ||
|
|
||
| Counts set bits in `x` and returns an `i32`. Lowers to `__popc` / `__popcll` on CUDA, `OpBitCount` on SPIR-V, `__builtin_amdgcn_popcnt` on AMDGPU. Defined for all integer dtypes. |
There was a problem hiding this comment.
Stop advertising AMDGPU popcnt support
When users run on qd.amdgpu, qd.math.popcnt is currently not lowered: tests/python/test_unary_ops.py::test_popcnt explicitly xfails AMDGPU with “codegen does not lower this op,” and quadrants/codegen/amdgpu/codegen_amdgpu.cpp::emit_extra_unary has no UnaryOpType::popcnt branch. This line (and the later “fully cross-backend” note) will send AMDGPU users to an API path that hits QD_NOT_IMPLEMENTED, so the docs should mark AMDGPU as unsupported until that lowering exists.
Useful? React with 👍 / 👎.
|
|
||
| ### `qd.math.clz(x)` | ||
|
|
||
| Counts leading zero bits in `x` and returns an `i32`. For a 32-bit input, `clz(0) = 32`; otherwise the result is in `[0, 31]`. Lowers to `__nv_clz` / `__nv_clzll` on CUDA, `FindMSB` on SPIR-V (with `bitwidth - 1 - FindMSB` to convert MSB index into leading-zero count), `__builtin_amdgcn_sffbh_i32` on AMDGPU. See the cross-backend caveats in the support table. |
There was a problem hiding this comment.
Stop advertising AMDGPU clz support
For the same AMDGPU context, qd.math.clz is not implemented today: tests/python/test_unary_ops.py::test_clz xfails AMDGPU because the codegen does not lower it, and the AMDGPU unary lowering override does not handle UnaryOpType::clz. Documenting an AMDGPU builtin here makes the new user guide claim support for kernels that currently fail at codegen time.
Useful? React with 👍 / 👎.
The previous single page covered two unrelated topics: the qd.atomic_* read-modify-write ops, and the qd.math.popcnt / qd.math.clz bit-counting helpers. They share no concerns (memory coordination vs single-thread register ops) and live in different namespaces. Split into: - atomics.md -- title shortened to "Atomics". Drops the bit-counting table, the popcnt / clz semantics subsections, the bitset-popcount and Morton-MSB examples, and the bit-trick portability bullet. Adds a one-line cross-reference to math.md in the intro and the Related section. - math.md (new) -- framed as a qd.math.* page that currently documents only the bit operations. Lists the broader qd.math surface (vec / mat / GLSL ops / trig / rotations / float-classification / constants) in the intro per the project's own python/quadrants/math/ __init__.py docstring, and notes explicitly that those are exported but not yet documented here. Reuses the bit-counting table, semantics, examples, and portability notes verbatim from the previous atomics.md. Toctree gains a "math" entry next to "atomics" under the SIMT-primitives caption, preserving the existing placement of atomics rather than re-categorising as part of this split.
Change "All atomic ops work on both global memory (fields, ndarrays) and block-shared memory (qd.simt.block.SharedArray)." to "All atomic ops can be called on either global memory (fields, ndarrays) or block-shared memory (qd.simt.block.SharedArray)." The earlier wording read as "they work in both places", which is true but a little off-target; "can be called on either" matches how a user picks one memory kind per call site.
Removes "## Examples" and its two subsections ("Reserving a
slot in an output array" and "Histogram"). No other content
changes; no in-page anchors referenced the dropped section.
Removes the second sentence of the math.md intro, which listed every category of qd.math.* helpers (vec / mat constructors, GLSL-style ops, trig, rotation builders, float-classification, constants). The remaining intro is just "qd.math is the quadrants standard library of math helpers", followed by the existing note that this page currently documents only the bit-counting helpers.
There was a problem hiding this comment.
💡 Codex Review
Here are some automated review suggestions for this pull request.
Reviewed commit: 74ff985659
ℹ️ About Codex in GitHub
Codex has been enabled to automatically review pull requests in this repo. Reviews are triggered when you
- Open a pull request for review
- Mark a draft as ready
- Comment "@codex review".
If Codex has suggestions, it will comment; otherwise it will react with 👍.
When you sign up for Codex through ChatGPT, Codex can also answer questions or update the PR, like "@codex address that feedback".
|
|
||
| There is no `atomic_cas` (compare-and-swap) exposed in Python today. The C++ runtime uses CmpXchg internally; surfacing it requires extending `AtomicOpType`. | ||
|
|
||
| All atomic ops can be called on either global memory (fields, ndarrays) or block-shared memory (`qd.simt.block.SharedArray`). They are sequentially consistent on the location they touch; they are **not** memory fences for the rest of the address space — to publish other writes alongside an atomic, pair the atomic with `qd.simt.block.mem_sync()` (block scope) or `qd.simt.grid.memfence()` (device scope). |
There was a problem hiding this comment.
Don't present mem_sync as portable
This guidance points every block-scope publishing pattern at qd.simt.block.mem_sync(), but that helper is not available on AMDGPU: python/quadrants/lang/simt/block.py only returns for CUDA or SPIR-V-backed arches and otherwise raises ValueError("qd.block.mem_sync is not supported..."). On AMDGPU kernels, following this new atomics page to pair a shared-memory atomic with the documented fence will fail during tracing, so the doc should either caveat AMDGPU or point AMDGPU users at a supported synchronization primitive.
Useful? React with 👍 / 👎.
|
|
||
| ### `qd.math.popcnt(x)` | ||
|
|
||
| Counts set bits in `x` and returns an `i32`. Lowers to `__popc` / `__popcll` on CUDA, `OpBitCount` on SPIR-V, `__builtin_amdgcn_popcnt` on AMDGPU. Defined for all integer dtypes. |
There was a problem hiding this comment.
Don't claim popcnt covers all integer widths
For CUDA, qd.math.popcnt is only lowered for i32/u32/i64/u64 in quadrants/codegen/cuda/codegen_cuda.cpp; any other integer width falls into QD_NOT_IMPLEMENTED. Saying it is “Defined for all integer dtypes” will send users with e.g. qd.i16/qd.u16 masks down a path that compiles on the frontend but fails in CUDA codegen, so this should be limited to the documented 32- and 64-bit types or explicitly marked backend-dependent.
Useful? React with 👍 / 👎.
alanray-tech
left a comment
There was a problem hiding this comment.
Code Review
Five inline findings below — three factual inaccuracies that should be fixed before merge, plus two suggested improvements. All are backed by source-code evidence and official specs.
|
|
||
| ### `qd.math.popcnt(x)` | ||
|
|
||
| Counts set bits in `x` and returns an `i32`. Lowers to `__popc` / `__popcll` on CUDA, `OpBitCount` on SPIR-V, `__builtin_amdgcn_popcnt` on AMDGPU. Defined for all integer dtypes. |
There was a problem hiding this comment.
Must fix — AMDGPU lowering does not exist; dtype claim is too broad
Two issues with this line:
-
AMDGPU
popcntis not lowered. The AMDGPU codegen overridesemit_extra_unarybut has noUnaryOpType::popcntbranch — it falls through toQD_NOT_IMPLEMENTED(codegen_amdgpu.cpp:47–175). The test suite confirms this:test_popcntexplicitly xfails AMDGPU with"BUG: AMDGPU codegen does not lower this op."(test_unary_ops.py:99–100). Mentioning__builtin_amdgcn_popcnthere will send AMDGPU users to a path that crashes at codegen time. -
"Defined for all integer dtypes" is incorrect on CUDA. The CUDA codegen only handles
i32/u32(__nv_popc) andi64/u64(__nv_popcll); any other integer width (e.g.i8,i16) hitsQD_NOT_IMPLEMENTED(codegen_cuda.cpp:269–279). See also CUDA Math API —__popc: onlyunsigned intandunsigned long long intoverloads exist.
Suggested rewrite:
Counts set bits in
xand returns ani32. Lowers to__popc/__popcllon CUDA (i32/u32/i64/u64 only),OpBitCounton SPIR-V. AMDGPU does not currently lower this op. Narrower integer types (i8, i16, u8, u16) are not supported on CUDA.
|
|
||
| ### `qd.math.clz(x)` | ||
|
|
||
| Counts leading zero bits in `x` and returns an `i32`. For a 32-bit input, `clz(0) = 32`; otherwise the result is in `[0, 31]`. Lowers to `__nv_clz` / `__nv_clzll` on CUDA, `FindMSB` on SPIR-V (with `bitwidth - 1 - FindMSB` to convert MSB index into leading-zero count), `__builtin_amdgcn_sffbh_i32` on AMDGPU. See the cross-backend caveats in the support table. |
There was a problem hiding this comment.
Must fix — AMDGPU clz lowering does not exist
Same situation as popcnt: the AMDGPU codegen's emit_extra_unary override has no UnaryOpType::clz branch (codegen_amdgpu.cpp:47–175), and test_clz xfails AMDGPU with "BUG: AMDGPU codegen does not lower this op." (test_unary_ops.py:134–135).
Referencing __builtin_amdgcn_sffbh_i32 here documents an API path that does not exist in the codebase.
Suggested rewrite:
Counts leading zero bits in
xand returns ani32. For a 32-bit input,clz(0) = 32; otherwise the result is in[0, 31]. Lowers to__nv_clz/__nv_clzllon CUDA,FindMSBon SPIR-V (withbitwidth - 1 - FindMSBto convert MSB index into leading-zero count). AMDGPU does not currently lower this op. See the cross-backend caveats in the support table.
|
|
||
| ## Performance and portability notes | ||
|
|
||
| - `qd.math.popcnt` is fully cross-backend. |
There was a problem hiding this comment.
Must fix — popcnt is not fully cross-backend
As noted above, AMDGPU does not lower popcnt (xfail in tests, no codegen branch). This line should be corrected.
Suggested rewrite:
qd.math.popcntis supported on CUDA (32- and 64-bit integers), SPIR-V, and CPU. AMDGPU does not currently support it.
|
|
||
| There is no `atomic_cas` (compare-and-swap) exposed in Python today. The C++ runtime uses CmpXchg internally; surfacing it requires extending `AtomicOpType`. | ||
|
|
||
| All atomic ops can be called on either global memory (fields, ndarrays) or block-shared memory (`qd.simt.block.SharedArray`). They are sequentially consistent on the location they touch; they are **not** memory fences for the rest of the address space — to publish other writes alongside an atomic, pair the atomic with `qd.simt.block.mem_sync()` (block scope) or `qd.simt.grid.memfence()` (device scope). |
There was a problem hiding this comment.
Suggestion — mem_sync() is not available on AMDGPU
qd.simt.block.mem_sync() only supports CUDA and SPIR-V arches. On AMDGPU it raises ValueError("qd.block.mem_sync is not supported for arch ...") (block.py:43–49).
This line (and the repeated references at lines 42 and 60) recommends mem_sync() as the block-scope fence without noting the AMDGPU gap. An AMDGPU user following this guide will hit a runtime error.
Consider appending:
Note:
qd.simt.block.mem_sync()is currently supported on CUDA and SPIR-V only; on AMDGPU it raisesValueError.
|
|
||
| ### `qd.atomic_min(x, y)` / `qd.atomic_max(x, y)` | ||
|
|
||
| Atomically writes back `min(x, y)` (resp. `max(x, y)`). Returns the old value of `x`. Floating-point min/max follow IEEE rules — `NaN` propagates: if either input is `NaN`, the result is `NaN`. |
There was a problem hiding this comment.
Suggestion — NaN propagation claim is likely incorrect
The doc states: "NaN propagates: if either input is NaN, the result is NaN." However:
- The
f16CAS-loop path uses LLVM'sCreateMinNum/CreateMaxNum(codegen_llvm.cpp:1337–1342), which implement IEEE 754-2008minNum/maxNumsemantics — when exactly one operand is NaN, the non-NaN value is returned (LLVM LangRef —llvm.minnum). - CUDA's hardware
atomicMin/atomicMaxfor floats (sm_80+) also do not propagate NaN — NaN is treated as larger than any non-NaN value (CUDA Programming Guide §B.12.1.6). - The SPIR-V path uses GLSL
FMin/FMax(extended instruction set ids 37/40), which per the GLSL 4.50 spec §8.3 return the non-NaN operand when one input is NaN.
Suggested rewrite:
Floating-point min/max use
minNum/maxNum-style semantics — if exactly one input is NaN, the non-NaN value is returned. Behavior when both inputs are NaN is backend-dependent.
…ope, NaN semantics)
|
Summary of changes from Opus: Pushed to hp/docs-atomics. Summary of what I changed in response to each review comment: math.md: • Support table rewritten per-backend (CUDA / AMDGPU / SPIR-V columns instead of dtype columns) — drops the false "i32, u32, i64, u64 all yes everywhere" implication. atomics.md: • Backend-caveat paragraph added directly after the "pair atomics with mem_sync / memfence" recommendation. Spells out that on AMDGPU block.mem_sync raises and grid.memfence Stale codex bot comments (atomics.md ones for popcnt/clz, before the split into math.md) are now moot — the canonical fix lives in math.md. |
# Conflicts: # docs/source/user_guide/index.md
* [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>
Summary
New user-guide page
docs/source/user_guide/atomics.mdcovering the per-thread / scalar tier of Quadrants primitives — atomic read-modify-write ops (qd.atomic_*) and bit-counting helpers (qd.math.popcnt,qd.math.clz).Companion to the in-flight subgroup (#639) and block (#638) docs; this is one of a series of tier-by-tier user-guide pages. Independent of the others — no cross-links to unmerged docs.
Includes:
f64fast path,clzu32 / u64 + SPV 32-bit hard-cap).clz.f64andatomic_mulcost,clzportability.Adds
atomicsto the SIMT-primitives toctree inindex.md.Test plan
cd docs && make htmlbuilds without warnings (no broken cross-links — all unmerged-doc references are plain prose, not Markdown links).Made with Cursor