[Misc] Add cross-platform shuffle#447
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CUDA has no native f64 shuffle intrinsic. This implements it by splitting the double into two u32 halves, shuffling each with shfl_sync_i32, and recombining. Includes tests for broadcast, arbitrary source lane, negative values, and very small values.
Lower SPIR-V subgroup ops (shuffle, shuffle_down, shuffle_up, barrier, elect, size, invocation_id, broadcast) to CUDA NVVM intrinsics in the LLVM codegen. 64-bit types (f64/i64) are handled via lossless two-i32 split-shuffle-recombine at the IR level. This enables qd.simt.subgroup.shuffle() to work on both CUDA and Vulkan/Metal backends with a single API call.
Broadcast, roundtrip, invocation_id, size, and elect tests are designed to be subgroup-size-independent so they work on any GPU. Shuffle_down and shuffle_up tests remain CUDA-only (they depend on thread-to-lane mapping). AMDGPU is not yet supported (needs its own codegen lowering with amdgcn intrinsics).
Use invocation_id() and group_size() to build values and skip boundary lanes, making the tests subgroup-size-independent.
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Lower subgroup shuffle/barrier/elect/size/invocation_id operations to native AMDGPU LLVM intrinsics. Uses ds_bpermute for shuffles (with 2x i32 split for f64/i64), mbcnt_lo+mbcnt_hi for lane ID, and amdgcn_wavefrontsize for runtime wave size query.
The codegen-level 2x i32 split in both CUDA and AMDGPU backends makes the Python-level f64 workaround redundant.
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Remove subgroupShuffleDown/Up from IR, and strip CUDA/AMDGPU codegen down to just the two ops the narrowphase kernel needs. Remove unneeded tests (shuffle_down, shuffle_up, size, elect). Keep shuffle tests (i32, f32, f64, roundtrip) and invocation_id test on all GPU backends. Full feature set preserved on hp/shuffle-cross-platform-all branch.
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tests seem reasoanble to me. (got ai to clean these up a lot, and add some missing tests)
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| void visit(InternalFuncStmt *stmt) override { |
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asking Opus wht this is:
what si InternalFuncStmt for?
⬢ Grepped, searched 1 grep, 1 search
Grepped "class InternalFuncStmt" in .
Searched "...cStmt used for and how is it created?"
InternalFuncStmt is an IR statement node that represents a call to a built-in runtime or intrinsic function — things that aren't user-defined but are part of the
compiler/runtime infrastructure.
It's defined in quadrants/ir/statements.h:
quadrants/ir/statements.h lines 1670-1681
class InternalFuncStmt : public Stmt {
public:
std::string func_name;
std::vector<Stmt *> args;
bool with_runtime_context;
explicit InternalFuncStmt(const std::string &func_name,
const std::vector<Stmt *> &args,
Type *ret_type = nullptr,
bool with_runtime_context = true)
// ...
};
The lifecycle is:
- Registration — Internal ops are declared via PER_INTERNAL_OP in internal_ops.inc.h (e.g. subgroupShuffle, subgroupBarrier, subgroupAdd, etc.) and given type signatures in
Operations::init_internals(). - Flattening — When the frontend encounters a call like subgroup.shuffle(...), it goes through InternalCallOperation::flatten() which pushes an InternalFuncStmt into the IR
with the op name and args. - Default codegen — The base TaskCodeGenLLVM::visit(InternalFuncStmt*) simply forwards it as a runtime function call (looks up func_name in the LLVM module and calls it with
the args). - Backend overrides — Backends like CUDA and AMDGPU override visit(InternalFuncStmt*) to intercept specific op names and emit platform-specific intrinsics instead. That's
exactly what this branch does — it intercepts "subgroupShuffle" to emit __shfl_sync on CUDA and ds_bpermute on AMDGPU rather than falling through to a generic runtime call.
In short: it's the IR-level representation of "call this named built-in operation," and each codegen backend decides how to lower it — either as a plain runtime call or as
specialized hardware intrinsics.
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to opus:
why do we override it for shuffle?
Because shuffle is a cross-lane operation — it reads a value from a different thread within the warp/wavefront. That can't be expressed as a regular function call to a C
runtime; it must be a hardware intrinsic instruction.
The default codegen path in TaskCodeGenLLVM::visit just does:
quadrants/codegen/llvm/codegen_llvm.cpp lines 2428-2438
void TaskCodeGenLLVM::visit(InternalFuncStmt *stmt) {
std::vector<llvm::Value *> args;
if (stmt->with_runtime_context)
args.push_back(get_context());
for (auto s : stmt->args) {
args.push_back(llvm_val[s]);
}
llvm_val[stmt] = call(stmt->func_name, std::move(args));
}
That looks up a function by name in the linked runtime module and calls it. This works for things like list management or memory ops that are implemented in C++. But there's
no C function you could write that performs a warp shuffle — it's a single instruction that moves data between registers across lanes in lockstep. Each backend needs to emit
the right intrinsic:
• CUDA: __shfl_sync (PTX shfl.sync.idx)
• AMDGPU: ds_bpermute (LDS-based cross-lane permute)
On top of that, 64-bit types (f64, i64) need the split-into-two-i32-shuffles-and-reassemble pattern because the hardware shuffle instructions only operate on 32-bit values.
That logic is also intrinsic-specific and can't live in a generic runtime function.
So the override exists because shuffle is fundamentally a hardware primitive, not a callable function.
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to Opus:
why do we need both subgroupShuffle and subgroupBroadcast? Or: what is the difference?
The distinction comes from the Vulkan/SPIR-V spec, where they are genuinely different operations with different requirements:
• subgroupBroadcast (OpGroupNonUniformBroadcast) — the index must be dynamically uniform, meaning every lane in the subgroup must pass the same index value. The GPU can
optimize for this (e.g. a single broadcast wire). This is the "everyone reads from the same lane" operation.
• subgroupShuffle (OpGroupNonUniformShuffle) — the index can be different per lane. Lane 0 can read from lane 3, lane 1 can read from lane 2, etc. This is the general
arbitrary permutation.
You can see the SPIR-V backend emits different opcodes for them:
quadrants/codegen/spirv/spirv_codegen.cpp lines 1346-1348
} else if (stmt->func_name == "subgroupBroadcast") {
// ...
spv::OpGroupNonUniformBroadcast, ...
quadrants/codegen/spirv/spirv_codegen.cpp lines 1425-1426
} else if (ends_with(stmt->func_name, "Shuffle")) {
spv_op = spv::OpGroupNonUniformShuffle;
On CUDA and AMDGPU, though, the hardware doesn't distinguish — __shfl_sync and ds_bpermute handle both cases identically, which is why the codegen overrides treat them the
same:
quadrants/codegen/cuda/codegen_cuda.cpp lines 788-789
if (stmt->func_name == "subgroupShuffle" ||
stmt->func_name == "subgroupBroadcast") {
So both exist because Vulkan requires separate ops (broadcast can be faster when the driver knows all lanes want the same source), but on LLVM backends they collapse to the
same instruction. Keeping them as distinct ops in the IR ensures correct SPIR-V codegen on Vulkan while allowing CUDA/AMDGPU to merge them trivially.
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| void visit(InternalFuncStmt *stmt) override { |
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Note to reviewers: I'm asking questions on the amdgpu file, so check there for answers first.
| stmt->args[0]->ret_type, | ||
| llvm_val[stmt->args[1]]); | ||
| } else if (stmt->func_name == "subgroupInvocationId") { | ||
| auto tid = call("thread_idx"); |
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to Opus:
what is call here? call("thread_idx");
It's a helper on LLVMModuleBuilder (in llvm_codegen_utils.h) that looks up a function by name in the linked runtime module and emits an LLVM CreateCall instruction. The
overload hit by call("thread_idx") is this variadic template:
quadrants/codegen/llvm/llvm_codegen_utils.h lines 162-164
llvm::Value *call(const std::string &func_name, Args &&...args) {
return call(builder.get(), func_name, std::forward<Args>(args)...);
}
Which resolves to:
quadrants/codegen/llvm/llvm_codegen_utils.h lines 130-135
llvm::Value *call(llvm::IRBuilder<> *builder,
const std::string &func_name,
std::vector<llvm::Value *> args) {
auto func = get_runtime_function(func_name);
return call(builder, func, std::move(args));
}
So call("thread_idx") calls get_runtime_function("thread_idx") to find the function in the LLVM module, then emits a CreateCall with no arguments. It's essentially a shorthand
for "emit an LLVM call to this named runtime/intrinsic wrapper function and return the result as an llvm::Value*."
| auto byte_index = builder->CreateMul( | ||
| builder->CreateZExtOrTrunc(llvm_val[stmt->args[1]], | ||
| llvm::Type::getInt32Ty(*llvm_context)), | ||
| tlctx->get_constant((int32)4)); |
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question to Opus:
what is the '4' here
builder->CreateZExtOrTrunc(llvm_val[stmt->args[1]],
llvm::Type::getInt32Ty(*llvm_context)),
tlctx->get_constant((int32)4));
It's the dword size in bytes. AMD's ds_bpermute intrinsic takes a byte offset into LDS, not a lane index. Each lane occupies a 4-byte (dword) slot, so to read from lane N you
pass byte offset N * 4.
Compare with CUDA's __shfl_sync, which takes a plain lane index directly — no multiplication needed there.
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| void visit(InternalFuncStmt *stmt) override { |
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reviewed this function => looks ok
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wait I should check the args.
| auto i32_ty = llvm::Type::getInt32Ty(*llvm_context); | ||
| auto all_ones = tlctx->get_constant((int32)-1); | ||
| auto zero = tlctx->get_constant((int32)0); | ||
| auto lo = builder->CreateIntrinsic(i32_ty, Intrinsic::amdgcn_mbcnt_lo, |
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question to Opus:
what is Intrinsic::amdgcn_mbcnt_lo
It's an LLVM intrinsic for the AMD GCN v_mbcnt_lo_u32_b32 instruction — "masked bit count low." It counts the number of set bits in the low 32 bits of the execution mask for
lanes below the current lane, giving you the lane's position within the active wavefront.
The AMDGPU codegen uses it together with mbcnt_hi to compute the full lane ID:
quadrants/codegen/amdgpu/codegen_amdgpu.cpp lines 472-480
llvm::Value *emit_amdgpu_lane_id() {
auto i32_ty = llvm::Type::getInt32Ty(*llvm_context);
auto all_ones = tlctx->get_constant((int32)-1);
auto zero = tlctx->get_constant((int32)0);
auto lo = builder->CreateIntrinsic(i32_ty, Intrinsic::amdgcn_mbcnt_lo,
{all_ones, zero});
return builder->CreateIntrinsic(i32_ty, Intrinsic::amdgcn_mbcnt_hi,
{all_ones, lo});
}
mbcnt_lo counts set bits in the low 32 lanes of the exec mask, mbcnt_hi counts the high 32 and adds the result of lo. Passing -1 (all ones) as the mask means "count all
lanes," so the result is just the thread's lane index within the wavefront (0–63). This is AMD's equivalent of threadIdx.x % warpSize on CUDA.
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question to Opus:
what are the parametrs of amdgcn_mbcnt_hi ?
amdgcn_mbcnt_hi(mask, src1) takes two i32 parameters:
- mask — a bitmask over the high 32 lanes (lanes 32–63) of the wavefront. It counts the number of set bits in this mask for lanes below the current one.
- src1 — an addend that gets added to the bit count result.
So in the codegen:
quadrants/codegen/amdgpu/codegen_amdgpu.cpp lines 477-478
return builder->CreateIntrinsic(i32_ty, Intrinsic::amdgcn_mbcnt_hi,
{all_ones, lo});
• all_ones (-1) = count all high lanes
• lo = the result of mbcnt_lo, i.e. the count from the low 32 lanes
The result is popcount(hi_mask for lanes below me) + lo, which gives the full lane ID across the 64-lane wavefront. That's why mbcnt_lo is called first with 0 as its addend,
and its result is chained into mbcnt_hi's second parameter.
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| llvm::Value *emit_amdgpu_lane_id() { |
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this function looks reasonable to me ✅
| {all_ones, lo}); | ||
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| llvm::Value *emit_subgroup_shuffle_amdgpu(llvm::Value *value, |
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question to Opus:
is there a way of writing emit_subgroup_shuffle_amdgpu without writing in low level llvm code?
Yes — you could follow the same pattern CUDA uses. CUDA avoids raw CreateIntrinsic calls for shuffle by:
- Defining stub functions in runtime.cpp (e.g. cuda_shfl_sync_i32 that returns 0)
- Using
patch_intrinsicto rewrite those stubs to the real LLVM intrinsics at module load time - In codegen, just calling call("cuda_shfl_sync_i32", mask, value, index, width)
AMDGPU already uses this pattern for a few things:
quadrants/runtime/llvm/llvm_context.cpp lines 578-582
patch_intrinsic("thread_idx", llvm::Intrinsic::amdgcn_workitem_id_x);
patch_intrinsic("block_idx", llvm::Intrinsic::amdgcn_workgroup_id_x);
patch_intrinsic("block_barrier", llvm::Intrinsic::amdgcn_s_barrier,
false);
patch_intrinsic("amdgpu_clock_i64", llvm::Intrinsic::amdgcn_s_memtime);
So you could add stubs like amdgpu_ds_bpermute_i32 and amdgpu_mbcnt to the runtime module, patch them to amdgcn_ds_bpermute / amdgcn_mbcnt_lo / amdgcn_mbcnt_hi, and then the
codegen would simplify to call("amdgpu_ds_bpermute_i32", byte_index, value).
That said, the 64-bit split/reassemble logic (truncate, shift, shuffle both halves, recombine) and the f32 bitcast would still live in the codegen — those are type-level
transformations, not just intrinsic calls. So it would clean up the leaf CreateIntrinsic calls but wouldn't eliminate the function entirely. The same is true for the CUDA side
— notice it also has the manual split logic for f64/i64.
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question to Opus:
How would this function look if we did this?
The codegen functions would simplify to using call() instead of CreateIntrinsic:
llvm::Value *emit_amdgpu_lane_id() {
auto all_ones = tlctx->get_constant((int32)-1);
auto zero = tlctx->get_constant((int32)0);
auto lo = call("amdgpu_mbcnt_lo", all_ones, zero);
return call("amdgpu_mbcnt_hi", all_ones, lo);
}
llvm::Value *emit_subgroup_shuffle_amdgpu(llvm::Value *value,
DataType dt,
llvm::Value *byte_index) {
auto i32_ty = llvm::Type::getInt32Ty(*llvm_context);
if (dt->is_primitive(PrimitiveTypeID::i32) ||
dt->is_primitive(PrimitiveTypeID::u32)) {
return call("amdgpu_ds_bpermute", byte_index, value);
} else if (dt->is_primitive(PrimitiveTypeID::f32)) {
auto as_i32 = builder->CreateBitCast(value, i32_ty);
auto shuffled = call("amdgpu_ds_bpermute", byte_index, as_i32);
return builder->CreateBitCast(shuffled,
llvm::Type::getFloatTy(*llvm_context));
} else if (dt->is_primitive(PrimitiveTypeID::f64)) {
auto i64_ty = llvm::Type::getInt64Ty(*llvm_context);
auto f64_ty = llvm::Type::getDoubleTy(*llvm_context);
auto as_i64 = builder->CreateBitCast(value, i64_ty);
auto lo = builder->CreateTrunc(as_i64, i32_ty);
auto hi = builder->CreateTrunc(builder->CreateLShr(as_i64, 32), i32_ty);
lo = call("amdgpu_ds_bpermute", byte_index, lo);
hi = call("amdgpu_ds_bpermute", byte_index, hi);
auto lo_64 = builder->CreateZExt(lo, i64_ty);
auto hi_64 = builder->CreateZExt(hi, i64_ty);
auto combined = builder->CreateOr(builder->CreateShl(hi_64, 32), lo_64);
return builder->CreateBitCast(combined, f64_ty);
} else if (dt->is_primitive(PrimitiveTypeID::i64) ||
dt->is_primitive(PrimitiveTypeID::u64)) {
auto i64_ty = llvm::Type::getInt64Ty(*llvm_context);
auto lo = builder->CreateTrunc(value, i32_ty);
auto hi = builder->CreateTrunc(builder->CreateLShr(value, 32), i32_ty);
lo = call("amdgpu_ds_bpermute", byte_index, lo);
hi = call("amdgpu_ds_bpermute", byte_index, hi);
auto lo_64 = builder->CreateZExt(lo, i64_ty);
auto hi_64 = builder->CreateZExt(hi, i64_ty);
return builder->CreateOr(builder->CreateShl(hi_64, 32), lo_64);
} else {
QD_ERROR("subgroup shuffle: unsupported type {} on AMDGPU",
data_type_name(dt));
return nullptr;
}
}
And you'd wire it up with stubs in runtime.cpp:
i32 amdgpu_ds_bpermute(i32 byte_index, i32 value) { return 0; }
i32 amdgpu_mbcnt_lo(i32 mask, i32 base) { return 0; }
i32 amdgpu_mbcnt_hi(i32 mask, i32 base) { return 0; }
Plus patches in llvm_context.cpp alongside the existing AMDGPU ones:
patch_intrinsic("amdgpu_ds_bpermute", llvm::Intrinsic::amdgcn_ds_bpermute);
patch_intrinsic("amdgpu_mbcnt_lo", llvm::Intrinsic::amdgcn_mbcnt_lo);
patch_intrinsic("amdgpu_mbcnt_hi", llvm::Intrinsic::amdgcn_mbcnt_hi);
The change is modest — it just swaps builder->CreateIntrinsic(i32_ty, Intrinsic::amdgcn_ds_bpermute, {byte_index, value}) for call("amdgpu_ds_bpermute", byte_index, value).
The bitcast/trunc/shift/reassemble logic for 64-bit types stays the same either way since that's type manipulation, not intrinsic calls.
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Question to Opus:
thats about the same number of lines. Anyway we can avoid having to write/see all these createTrunc, createZExt etc? some way we could write as a simple python or c++ program, rather than with builder calls? (or perhaps as ll ir instead of buidler calls?)
Good question. There are two approaches that would let you express this as readable code rather than builder calls.
Option 1: Write it in C in runtime.cpp
The most natural option. Write the split/recombine logic as normal C functions that call the stub amdgpu_ds_bpermute, which gets patched to the intrinsic. After inlining, the
result is identical IR.
// Stub — patched to llvm.amdgcn.ds.bpermute
i32 amdgpu_ds_bpermute(i32 byte_index, i32 value) { return 0; }
QD_ALWAYS_INLINE f32 amdgpu_shuffle_f32(i32 byte_index, f32 value) {
union { f32 f; i32 i; } u;
u.f = value;
u.i = amdgpu_ds_bpermute(byte_index, u.i);
return u.f;
}
QD_ALWAYS_INLINE f64 amdgpu_shuffle_f64(i32 byte_index, f64 value) {
union { f64 d; i64 i; } u;
u.d = value;
i32 lo = (i32)u.i;
i32 hi = (i32)(u.i >> 32);
lo = amdgpu_ds_bpermute(byte_index, lo);
hi = amdgpu_ds_bpermute(byte_index, hi);
u.i = ((i64)(u32)lo) | ((i64)hi << 32);
return u.d;
}
Then the codegen collapses to:
llvm::Value *emit_subgroup_shuffle_amdgpu(llvm::Value *value,
DataType dt,
llvm::Value *byte_index) {
if (dt->is_primitive(PrimitiveTypeID::i32) || dt->is_primitive(PrimitiveTypeID::u32))
return call("amdgpu_ds_bpermute", byte_index, value);
else if (dt->is_primitive(PrimitiveTypeID::f32))
return call("amdgpu_shuffle_f32", byte_index, value);
else if (dt->is_primitive(PrimitiveTypeID::f64))
return call("amdgpu_shuffle_f64", byte_index, value);
else if (dt->is_primitive(PrimitiveTypeID::i64) || dt->is_primitive(PrimitiveTypeID::u64))
return call("amdgpu_shuffle_i64", byte_index, value);
// ...
}
This works because patch_intrinsic replaces the stub's body with an intrinsic wrapper, and then LLVM's inliner propagates it into the callers. The same approach would work for
the CUDA f64/i64 split too — cuda_shfl_sync_f64 in C calling cuda_shfl_sync_i32 twice.
Option 2: Write it as .ll IR
You could write the functions as textual LLVM IR in a .ll file and link it in. More readable than builder calls, but still fairly verbose:
define double @amdgpu_shuffle_f64(i32 %idx, double %val) alwaysinline {
%i64 = bitcast double %val to i64
%lo = trunc i64 %i64 to i32
%hi = trunc i64 lshr(i64 %i64, i64 32) to i32
%lo2 = call i32 @llvm.amdgcn.ds.bpermute(i32 %idx, i32 %lo)
%hi2 = call i32 @llvm.amdgcn.ds.bpermute(i32 %idx, i32 %hi)
; ... reassemble ...
ret double %result
}
Option 1 is the clear winner — it's just C, it uses infrastructure that already exists (patch_intrinsic + always_inline), and the bit manipulation reads like normal code
instead of either builder calls or SSA IR.
Express ds_bpermute/mbcnt bit manipulation as plain C functions in the runtime module instead of verbose LLVM IR builder calls. The intrinsic stubs are patched at module load time, and LLVM inliner produces identical final IR. Made-with: Cursor
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| llvm::Value *emit_subgroup_shuffle(llvm::Value *value, | ||
| DataType dt, | ||
| llvm::Value *index) { | ||
| auto mask = tlctx->get_constant((uint32)0xFFFFFFFF); |
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lets move this code into the runtime too, in C, too, similar to for amdgpu.
Same refactor as AMDGPU: express the 64-bit split/recombine and lane-id logic as plain C in the runtime module, simplifying the codegen to type-based dispatch over call(). Made-with: Cursor
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| llvm::Value *emit_cuda_shuffle(llvm::Value *value, |
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this function looks ok to me ✅
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Thank you 🎉 |
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(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>
Issue: #
Brief Summary
copilot:summary
Walkthrough
copilot:walkthrough