File size: 20,419 Bytes
14ed4df | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 | # pytorch/pytorch Backlog Intelligence Packet
## Coverage
- Generated: `2026-07-09T03:47:02+00:00`
- Open issues represented: `15437` of `15437` listed
- Open PRs represented: `2770` of `2770` listed
- Full collection: `True`
- Work thread active coverage: `True`
- Issue collapse coverage: `15437` open issues in `2704` groups
- Issue collapse full coverage: `True`
- Issue review-unit reduction: `82.5`%
- Maintainer action bundles: `1579`
- Patch-plan bundles: `413`
- Existing PR decision bundles: `863`
- Full issue/PR bundle coverage: `True`
- No-write audit rows: `15803`
- No-write audit boundary: `GitHub writes: none`
- Relationship edges: `4000`
- Public surface: `read-only static report`
## Local Board
- Covered open issues: `15437`
- Covered open PRs: `2770`
- Local board boundary: `no GitHub writes`
- Resolution hash: `141b35358567a5186edb6d910eab9ccd2abd54eb84d9d80d0b16c50fa4844f6d`
- This local board shows what the tool would review, close, merge, park, or turn into a local patch plan, without doing any of it on GitHub.
## No-Write Audit Packet
- All open issue proof rows: `15437`
- Stale open PR proof rows: `366`
- Proof hash: `ec5b874ff029ecfa5d4ecd204d13f40398adb089965dbb6308b8caec6b268a61`
- These rows are attachable evidence of what the tool can triage, but they do not comment, label, close, merge, or upload anything.
## Maintainer Review Threads
- Multi-issue groups: `1957`
- PR-backed groups: `570`
- Singleton issue groups retained for audit: `747`
- `1 issue` - Review thread: 1 issue + 1 PR - pr #188801: [MPS] Leak MetalShaderLibrary bundled singleton to avoid exit-time destructor crashes - linked work thread - Review issues, active PRs, referenced context, checks, and review guidance together instead of reopening each issue separately. (#188812; active PRs: PR #188801)
- `2 issues` - Review thread: 2 issues + 1 PR - pr #189122: Fix sparse-dense mul dropping data when broadcasting a size-1 sparse dim - linked work thread - Review issues, active PRs, referenced context, checks, and review guidance together instead of reopening each issue separately. (#158861, #188900; active PRs: PR #189122)
- `2 issues` - Review thread: 2 issues + 1 PR - pr #185730: Fix dynamic shapes for variadic kwargs - linked work thread - Review issues, active PRs, referenced context, checks, and review guidance together instead of reopening each issue separately. (#150022, #150371; active PRs: PR #185730)
- `1 issue` - Review thread: 1 issue + 1 PR - pr #188948: Fix triangular_solve for sparse CPU tensors on non-MKL platforms - linked work thread - Review issues, active PRs, referenced context, checks, and review guidance together instead of reopening each issue separately. (#153410; active PRs: PR #188948)
- `3 issues` - Review thread: 3 issues + 2 PRs - pr #181720: [MPS] Make pin_memory return CPU-aliased storage backed by a unified MTLBuffer - linked work thread - Review issues, active PRs, referenced context, checks, and review guidance together instead of reopening each issue separately. (#180397, #181374, #188970; active PRs: PR #181720, PR #189256)
- `1 issue` - Review thread: 1 issue + 1 PR - pr #189043: Preload full bundled cuDNN set with RTLD_GLOBAL to prevent sublibrary version mismatch - linked work thread - Review issues, active PRs, referenced context, checks, and review guidance together instead of reopening each issue separately. (#188892; active PRs: PR #189043)
- `21 issues` - Review thread: 21 issues + 14 PRs - pr #181726: [xpu][1/4]Implement scaled_mm_v2 for MXFP8/MXFP4/NVFP4 on XPU - linked work thread - Review issues, active PRs, referenced context, checks, and review guidance together instead of reopening each issue separately. (#178040, #183988, #186348, #187988, #188477, #188675, #188704, #188706, #188707, #188708, #188709, #188710; active PRs: PR #181726, PR #181727, PR #181728, PR #183511, PR #184276, PR #187315, PR #187318, PR #187989)
- `3 issues` - Review thread: 3 issues + 3 PRs - pr #184481: Guard synthetic-base input alias layouts - linked work thread - Review issues, active PRs, referenced context, checks, and review guidance together instead of reopening each issue separately. (#93617, #178680, #188133; active PRs: PR #184481, PR #184694, PR #185891)
- `3 issues` - Review thread: 3 issues + 2 PRs - pr #185946: [CUDA] Warn instead of assert in `reportProcessMemoryInfo` to prevent crash on Tegra OOM - linked work thread - Review issues, active PRs, referenced context, checks, and review guidance together instead of reopening each issue separately. (#16706, #185240, #186374; active PRs: PR #185946, PR #186375)
- `2 issues` - Review thread: 2 issues + 3 PRs - pr #185846: [decomp] Match eager's device-dependent threshold comparison dtype - linked work thread - Review issues, active PRs, referenced context, checks, and review guidance together instead of reopening each issue separately. (#185470, #185484; active PRs: PR #185846, PR #186358, PR #187609)
- `3 issues` - Review thread: 3 issues + 1 PR - pr #189045: Fix NaN gradients in nn.MultiheadAttention for fully-masked rows (#41… - linked work thread - Review issues, active PRs, referenced context, checks, and review guidance together instead of reopening each issue separately. (#40932, #41508, #55056; active PRs: PR #189045)
- `3 issues` - Review thread: 3 issues + 1 PR - pr #188998: [inductor] Fix bf16 matmul accumulation precision in Triton templates (#188492) - linked work thread - Review issues, active PRs, referenced context, checks, and review guidance together instead of reopening each issue separately. (#188492, #188841, #189287; active PRs: PR #188998)
- `3 issues` - Review thread: 3 issues + 1 PR - pr #184621: Fix Dynamo torch.Size from tensor shape inputs - linked work thread - Review issues, active PRs, referenced context, checks, and review guidance together instead of reopening each issue separately. (#182649, #182651, #182652; active PRs: PR #184621)
- `2 issues` - Review thread: 2 issues + 2 PRs - pr #189294: [CI] Realign scipy after nvmath install to fix H100 smoke NumPy ABI crash - linked work thread - Review issues, active PRs, referenced context, checks, and review guidance together instead of reopening each issue separately. (#173059, #189034; active PRs: PR #189294, PR #189295)
- `2 issues` - Review thread: 2 issues + 2 PRs - pr #187354: Match Inductor i0/i1 infinities to eager CUDA - linked work thread - Review issues, active PRs, referenced context, checks, and review guidance together instead of reopening each issue separately. (#187332, #188545; active PRs: PR #187354, PR #188556)
- `2 issues` - Review thread: 2 issues + 2 PRs - pr #185756: [clamp] Fix float16 scalar overflow check inconsistency between CPU and GPU - linked work thread - Review issues, active PRs, referenced context, checks, and review guidance together instead of reopening each issue separately. (#171356, #187429; active PRs: PR #185756, PR #187908)
- `2 issues` - Review thread: 2 issues + 1 PR - pr #185496: Fix export autograd.grad saved tensor tracing - linked work thread - Review issues, active PRs, referenced context, checks, and review guidance together instead of reopening each issue separately. (#146719, #155044; active PRs: PR #185496)
- `2 issues` - Review thread: 2 issues + 1 PR - pr #184632: Fix CUDA fake strides for mixed dtype pointwise ops - linked work thread - Review issues, active PRs, referenced context, checks, and review guidance together instead of reopening each issue separately. (#182200, #184101; active PRs: PR #184632)
- `2 issues` - Review thread: 2 issues + 1 PR - pr #184628: Fix SingletonInt static guard evaluation - linked work thread - Review issues, active PRs, referenced context, checks, and review guidance together instead of reopening each issue separately. (#182217, #183369; active PRs: PR #184628)
- `2 issues` - Review thread: 2 issues + 1 PR - pr #184392: Fix ModularIndexing printer semantics - linked work thread - Review issues, active PRs, referenced context, checks, and review guidance together instead of reopening each issue separately. (#119883, #187027; active PRs: PR #184392)
## Maintainer Work Threads
- `151` pr #188801: [MPS] Leak MetalShaderLibrary bundled singleton to avoid exit-time destructor crashes - waiting on contributor - Wait for contributor update on PR #188801; keep related issue/PR context attached. (issue #188812, PR #188801)
- `139` pr #189122: Fix sparse-dense mul dropping data when broadcasting a size-1 sparse dim - ready for maintainer decision - Review active PRs and linked issues as one maintainer work thread. (issue #158861, issue #188900, PR #189122)
- `139` issue #186535: Windows, gloo: Access violation (0xC0000005) in ProcessGroupGloo::enqueue when calling allreduce on CUDA tensors — GlooAllreduceRegistry has no kCUDA creator - needs triage - needs triage (issue #186535)
- `139` issue #188323: [Inductor][CPU] dynamic=True convolution lowering crashes with ValueError: Exponent must be non-negative - needs triage - needs triage (issue #188323)
- `127` issue #157668: NCCL error caused due to use of NVLS in torch 2.7.1-cu128 on aarch64 gb200 cluster - needs triage - needs triage (issue #157668)
- `127` issue #187912: [CPU] Concurrent `cpublas::brgemm` calls can crash in the AMX path when the underlying oneDNN ukernel is shared - needs triage - needs triage (issue #187912)
- `121` pr #185730: Fix dynamic shapes for variadic kwargs - PR blocked - Review active PRs and linked issues as one maintainer work thread. (issue #150022, issue #150371, PR #185730)
- `121` issue #116254: C++ API `at::quantized_max_pool2d`: Heap-buffer-overflow - needs triage - needs triage (issue #116254, issue #162476)
- `121` issue #162422: Runtime failure when running torch.compile() & using GCC 11.5.0 on Neoverse V1 - needs triage - needs triage (issue #162422)
- `115` issue #154297: Hangs and timeouts on dist.reduce_scatter on B200 GPU - needs maintainer decision - needs maintainer decision (issue #154297, issue #162178, issue #162745, issue #162748, issue #162820, issue #162871, issue #162897, issue #162917, issue #162940, issue #163429, issue #165170, issue #165685, issue #187158, issue #189065)
- `115` issue #55655: Performance debugging / warning mode - stale/low urgency - stale/low urgency (issue #55655, issue #57118, issue #68768, issue #72948, issue #75725)
- `115` issue #66504: BatchNorm runtimeError: one of the variables needed for gradient computation has been modified by an inplace operation - needs triage - needs triage (issue #66504, issue #68407, issue #73332)
- `115` issue #144965: RuntimeError "global alloc not supported yet" when using TorchScript optimization. - needs triage - needs triage (issue #69078, issue #144965)
- `115` issue #106164: distributed.batch_isend_irecv() crash when send/recv refers to itself - needs triage - needs triage (issue #106164)
- `115` issue #116423: PyTorch Distributed Elastic Launch Segmentation Fault with Python 3.12 - needs triage - needs triage (issue #116423)
- `115` issue #119845: Segmentation fault in dataloader worker sub-process - needs triage - needs triage (issue #119845)
- `115` issue #145610: mmap fails on 64k page aarch64 systems for AOTI model loading - needs triage - needs triage (issue #145610)
- `115` issue #153517: [CI][CUDA][Distributed] test_non_blocking_with_eager_init timeout - needs triage - needs triage (issue #153517)
- `115` issue #162731: DTensor cached op propagation results can be mutated when propagating other ops - needs triage - needs triage (issue #162731)
- `115` issue #167693: DISABLED test_side_stream_backward_overlap_cuda (__main__.TestAutogradStreamSynchronizationCUDA) - needs triage - needs triage (issue #167693)
## Maintainer Attention Queue
- `151` issue #188812: [[MPS] MetalShaderLibrary::getBundledLibrary singleton can crash at process exit](https://github.com/pytorch/pytorch/issues/188812) - needs triage - confirm whether existing evidence is enough; otherwise wait for a reproducer
- `139` issue #188900: [`sparse.mul`: broadcasting a size-1 dimension of the sparse operand silently drops data](https://github.com/pytorch/pytorch/issues/188900) - needs triage - review early; this can change release or regression risk
- `139` issue #188323: [[Inductor][CPU] dynamic=True convolution lowering crashes with ValueError: Exponent must be non-negative](https://github.com/pytorch/pytorch/issues/188323) - needs triage - review early; this can change release or regression risk
- `139` issue #186535: [Windows, gloo: Access violation (0xC0000005) in ProcessGroupGloo::enqueue when calling allreduce on CUDA tensors — GlooAllreduceRegistry has no kCUDA creator](https://github.com/pytorch/pytorch/issues/186535) - needs triage - review early; this can change release or regression risk
- `127` issue #187912: [[CPU] Concurrent `cpublas::brgemm` calls can crash in the AMX path when the underlying oneDNN ukernel is shared](https://github.com/pytorch/pytorch/issues/187912) - needs triage - confirm whether existing evidence is enough; otherwise wait for a reproducer
- `127` issue #157668: [NCCL error caused due to use of NVLS in torch 2.7.1-cu128 on aarch64 gb200 cluster](https://github.com/pytorch/pytorch/issues/157668) - needs triage - confirm whether existing evidence is enough; otherwise wait for a reproducer
- `121` issue #150022: [Dynamic Shapes with **kwargs](https://github.com/pytorch/pytorch/issues/150022) - needs triage - review early; this can change release or regression risk
- `121` issue #162422: [Runtime failure when running torch.compile() & using GCC 11.5.0 on Neoverse V1](https://github.com/pytorch/pytorch/issues/162422) - needs triage - review early; this can change release or regression risk
- `121` issue #162476: [heap-buffer-overflow in torch.quantized_max_pool2d via Python API](https://github.com/pytorch/pytorch/issues/162476) - needs triage - review early; this can change release or regression risk
- `115` issue #189194: [[ROCm] torch 2.13 wheel: "Can't detect vectorized ISA for CPU" in torch.compile smoke test on non-ROCm image (regression vs 2.12.1)](https://github.com/pytorch/pytorch/issues/189194) - needs triage - review early; this can change release or regression risk
- `115` issue #189150: [SIGSEGV / cudaErrorIllegalAddress when replaying a CUDA graph that captured multiple training iterations of two trainers over deeply unrolled recurrent modules](https://github.com/pytorch/pytorch/issues/189150) - needs triage - review early; this can change release or regression risk
- `115` issue #189282: [[CPU] operator_benchmark: backward-pass (add, + batchnorm on aarch64) ~200-500x slower since ~Nov 2025 (x86 + aarch64; possible measurement artifact)](https://github.com/pytorch/pytorch/issues/189282) - needs triage - review early; this can change release or regression risk
- `115` issue #189281: [[CPU] operator_benchmark: embedding / embeddingbag ~70-130x slower since ~Nov 2025 (x86 + aarch64; possible measurement issue)](https://github.com/pytorch/pytorch/issues/189281) - needs triage - review early; this can change release or regression risk
- `115` issue #189239: [[Inductor]Unable to apply layout optimization on convolution backward causes training performance regression.](https://github.com/pytorch/pytorch/issues/189239) - needs triage - review early; this can change release or regression risk
- `115` issue #189144: [[XPU][B580] `flex-attn-causal` performance drop with `last_level_cache_size` cache clear between runs](https://github.com/pytorch/pytorch/issues/189144) - needs triage - review early; this can change release or regression risk
- `115` issue #144965: [RuntimeError "global alloc not supported yet" when using TorchScript optimization.](https://github.com/pytorch/pytorch/issues/144965) - needs triage - review early; this can change release or regression risk
- `115` issue #189126: [Report a bug, as requested by the error message](https://github.com/pytorch/pytorch/issues/189126) - needs triage - review early; this can change release or regression risk
- `115` issue #189065: [CI for distributed tests on B200 fully red since ~2026-07-01: rank 0 "CUDA-capable device(s) busy or unavailable" -> NCCL id timeout -> 1170-min job timeout](https://github.com/pytorch/pytorch/issues/189065) - needs triage - review early; this can change release or regression risk
- `115` issue #170003: [batch_isend_irecv with nccl causes illegal memory access depending on P2P ordering](https://github.com/pytorch/pytorch/issues/170003) - needs triage - review early; this can change release or regression risk
- `115` issue #174288: [[distributed] Batched isend/irecv with NCCL backend hangs on high load](https://github.com/pytorch/pytorch/issues/174288) - needs triage - review early; this can change release or regression risk
## Issue Buckets
- stale/low urgency: `13044`
- needs triage: `1822`
- needs maintainer decision: `1332`
- has linked PR: `978`
- high-priority/blocker: `768`
- needs reproduction: `567`
- needs design decision: `353`
- good volunteer slice: `48`
## PR Buckets
- PR blocked: `1467`
- has linked issue: `1132`
- ready for maintainer decision: `558`
- draft/noise: `495`
- stale/low urgency: `366`
- waiting on contributor: `311`
- high-priority/blocker: `2`
## Top Clusters
- PR #188980 with linked issues: pr #188980, issue #188790. Review the issue and PR together instead of triaging both separately.
- PR #167224 with linked issues: pr #167224, issue #134385. Review the issue and PR together instead of triaging both separately.
- PR #189317 with linked issues: pr #189317, issue #181474. Review the issue and PR together instead of triaging both separately.
- PR #188632 with linked issues: pr #188632, issue #188544. Review the issue and PR together instead of triaging both separately.
- PR #186252 with linked issues: pr #186252, issue #184408. Review the issue and PR together instead of triaging both separately.
- PR #189313 with linked issues: pr #189313, issue #102948. Review the issue and PR together instead of triaging both separately.
- PR #189286 with linked issues: pr #189286, issue #189133. Review the issue and PR together instead of triaging both separately.
- PR #188006 with linked issues: pr #188006, issue #168868. Review the issue and PR together instead of triaging both separately.
- PR #186358 with linked issues: pr #186358, issue #185484. Review the issue and PR together instead of triaging both separately.
- PR #189129 with linked issues: pr #189129, issue #188890. Review the issue and PR together instead of triaging both separately.
- PR #186082 with linked issues: pr #186082, issue #140960. Review the issue and PR together instead of triaging both separately.
- PR #189294 with linked issues: pr #189294, issue #189034. Review the issue and PR together instead of triaging both separately.
- PR #189288 with linked issues: pr #189288, issue #189271. Review the issue and PR together instead of triaging both separately.
- PR #188931 with linked issues: pr #188931, issue #188891. Review the issue and PR together instead of triaging both separately.
- PR #188913 with linked issues: pr #188913, issue #188150. Review the issue and PR together instead of triaging both separately.
- PR #188998 with linked issues: pr #188998, issue #188492. Review the issue and PR together instead of triaging both separately.
- PR #189119 with linked issues: pr #189119, issue #189118. Review the issue and PR together instead of triaging both separately.
- PR #188996 with linked issues: pr #188996, issue #188711. Review the issue and PR together instead of triaging both separately.
- PR #189010 with linked issues: pr #189010, issue #188866. Review the issue and PR together instead of triaging both separately.
- PR #189158 with linked issues: pr #189158, issue #189157. Review the issue and PR together instead of triaging both separately.
## Limits
- This is an offline, read-only maintainer attention report.
- It does not comment, label, close, merge, or submit anything on GitHub.
- Public bundle exports are reduced rows and short excerpts; full raw API responses remain local unless explicitly approved.
- Duplicate clusters are suggestions for maintainer review, not automatic close decisions.
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