data/attention_queue.html

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<div class='bi-wrap'><section class='bi-band'><div class='bi-title'><div><h2>Attention Queue</h2><p>Sorted by maintainer attention signal, still read-only and evidence-bound.</p></div></div><div class='scroll-table'><table class='bi-table'><thead><tr><th>Item</th><th>Score</th><th>Bucket</th><th>Next Action</th><th>Stale Days</th></tr></thead><tbody><tr><td><a href='https://github.com/pytorch/pytorch/issues/188812' target='_blank' rel='noopener noreferrer'>issue #188812: [MPS] MetalShaderLibrary::getBundledLibrary singleton can crash at process exit</a></td><td>151</td><td>needs design decision</td><td><div class='wide'>confirm whether existing evidence is enough; otherwise wait for a reproducer</div></td><td>4</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/188900' target='_blank' rel='noopener noreferrer'>issue #188900: `sparse.mul`: broadcasting a size-1 dimension of the sparse operand silently drops data</a></td><td>139</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>2</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/188323' target='_blank' rel='noopener noreferrer'>issue #188323: [Inductor][CPU] dynamic=True convolution lowering crashes with ValueError: Exponent must be non-negative</a></td><td>139</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>8</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/186535' target='_blank' rel='noopener noreferrer'>issue #186535: Windows, gloo: Access violation (0xC0000005) in ProcessGroupGloo::enqueue when calling allreduce on CUDA tensors — GlooAllreduceRegistry has no kCUDA creator</a></td><td>139</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>31</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/187912' target='_blank' rel='noopener noreferrer'>issue #187912: [CPU] Concurrent `cpublas::brgemm` calls can crash in the AMX path when the underlying oneDNN ukernel is shared</a></td><td>127</td><td>needs design decision</td><td><div class='wide'>confirm whether existing evidence is enough; otherwise wait for a reproducer</div></td><td>2</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/157668' target='_blank' rel='noopener noreferrer'>issue #157668: NCCL error caused due to use of NVLS in torch 2.7.1-cu128 on aarch64 gb200 cluster</a></td><td>127</td><td>needs design decision</td><td><div class='wide'>confirm whether existing evidence is enough; otherwise wait for a reproducer</div></td><td>29</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/150022' target='_blank' rel='noopener noreferrer'>issue #150022: Dynamic Shapes with **kwargs</a></td><td>121</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>216</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/162422' target='_blank' rel='noopener noreferrer'>issue #162422: Runtime failure when running torch.compile() &amp; using GCC 11.5.0 on Neoverse V1</a></td><td>121</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>220</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/162476' target='_blank' rel='noopener noreferrer'>issue #162476: heap-buffer-overflow in torch.quantized_max_pool2d via Python API</a></td><td>121</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>300</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/189194' target='_blank' rel='noopener noreferrer'>issue #189194: [ROCm] torch 2.13 wheel: &quot;Can&#x27;t detect vectorized ISA for CPU&quot; in torch.compile smoke test on non-ROCm image (regression vs 2.12.1)</a></td><td>115</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>0</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/189150' target='_blank' rel='noopener noreferrer'>issue #189150: SIGSEGV / cudaErrorIllegalAddress when replaying a CUDA graph that captured multiple training iterations of two trainers over deeply unrolled recurrent modules</a></td><td>115</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>0</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/189282' target='_blank' rel='noopener noreferrer'>issue #189282: [CPU] operator_benchmark: backward-pass (add, + batchnorm on aarch64) ~200-500x slower since ~Nov 2025 (x86 + aarch64; possible measurement artifact)</a></td><td>115</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>0</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/189281' target='_blank' rel='noopener noreferrer'>issue #189281: [CPU] operator_benchmark: embedding / embeddingbag ~70-130x slower since ~Nov 2025 (x86 + aarch64; possible measurement issue)</a></td><td>115</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>0</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/189239' target='_blank' rel='noopener noreferrer'>issue #189239: [Inductor]Unable to apply layout optimization on convolution backward causes training performance regression.</a></td><td>115</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>0</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/189144' target='_blank' rel='noopener noreferrer'>issue #189144: [XPU][B580] `flex-attn-causal` performance drop with `last_level_cache_size` cache clear between runs</a></td><td>115</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>1</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/144965' target='_blank' rel='noopener noreferrer'>issue #144965: RuntimeError &quot;global alloc not supported yet&quot; when using TorchScript optimization.</a></td><td>115</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>1</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/189126' target='_blank' rel='noopener noreferrer'>issue #189126: Report a bug, as requested by the error message</a></td><td>115</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>1</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/189065' target='_blank' rel='noopener noreferrer'>issue #189065: CI for distributed tests on B200 fully red since ~2026-07-01: rank 0 &quot;CUDA-capable device(s) busy or unavailable&quot; -&gt; NCCL id timeout -&gt; 1170-min job timeout</a></td><td>115</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>2</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/170003' target='_blank' rel='noopener noreferrer'>issue #170003: batch_isend_irecv with nccl causes illegal memory access depending on P2P ordering</a></td><td>115</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>23</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/174288' target='_blank' rel='noopener noreferrer'>issue #174288: [distributed] Batched isend/irecv with NCCL backend hangs on high load</a></td><td>115</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>26</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/162731' target='_blank' rel='noopener noreferrer'>issue #162731: DTensor cached op propagation results can be mutated when propagating other ops</a></td><td>115</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>27</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/153517' target='_blank' rel='noopener noreferrer'>issue #153517: [CI][CUDA][Distributed] test_non_blocking_with_eager_init timeout</a></td><td>115</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>28</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/167693' target='_blank' rel='noopener noreferrer'>issue #167693: DISABLED test_side_stream_backward_overlap_cuda (__main__.TestAutogradStreamSynchronizationCUDA)</a></td><td>115</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>28</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/116423' target='_blank' rel='noopener noreferrer'>issue #116423: PyTorch Distributed Elastic Launch Segmentation Fault with Python 3.12</a></td><td>115</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>31</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/106164' target='_blank' rel='noopener noreferrer'>issue #106164: distributed.batch_isend_irecv() crash when send/recv refers to itself</a></td><td>115</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>31</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/85088' target='_blank' rel='noopener noreferrer'>issue #85088: reentrant torch.utils.checkpoint does not work with NamedTuple outputs</a></td><td>115</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>31</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/71303' target='_blank' rel='noopener noreferrer'>issue #71303: [RFC] Cross-Process Performance Analysis: Straggler Detection</a></td><td>115</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>32</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/75725' target='_blank' rel='noopener noreferrer'>issue #75725: Warning originating in C10 backend does not get translated to Python warning if run from subprocess</a></td><td>115</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>32</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/76449' target='_blank' rel='noopener noreferrer'>issue #76449: Enhance _verify_param_shape_across_processes</a></td><td>115</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>32</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/81684' target='_blank' rel='noopener noreferrer'>issue #81684: Message exchange failure when perform alltoallv (cpus)</a></td><td>115</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>33</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/119845' target='_blank' rel='noopener noreferrer'>issue #119845: Segmentation fault in dataloader worker sub-process</a></td><td>115</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>33</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/183459' target='_blank' rel='noopener noreferrer'>issue #183459: Regression in torch.distributed._functional_collectives.all_to_all_single in 2.9.1 -&gt; 2.11</a></td><td>115</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>33</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/180088' target='_blank' rel='noopener noreferrer'>issue #180088: [DTensor] RNG tracker does not advance state for CPU tensors on CUDA mesh, causing trunc_normal_ infinite loop</a></td><td>115</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>41</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/173921' target='_blank' rel='noopener noreferrer'>issue #173921: [Inductor] Significant numerical divergence (4.7% relative error) in Conv2d on CPU with torch.compile</a></td><td>115</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>48</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/179502' target='_blank' rel='noopener noreferrer'>issue #179502: [DTensor] sharded view incorrectly passes when redistribution is needed</a></td><td>115</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>93</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/145610' target='_blank' rel='noopener noreferrer'>issue #145610: mmap fails on 64k page aarch64 systems for AOTI model loading</a></td><td>115</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>141</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/66504' target='_blank' rel='noopener noreferrer'>issue #66504: BatchNorm runtimeError: one of the variables needed for gradient computation has been modified by an inplace operation</a></td><td>115</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>144</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/pull/188632' target='_blank' rel='noopener noreferrer'>pr #188632: Fix Dynamo opaque object staticmethod guards</a></td><td>112</td><td>ready for maintainer decision</td><td><div class='wide'>final maintainer merge/release decision</div></td><td>0</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/pull/186429' target='_blank' rel='noopener noreferrer'>pr #186429: Fix ONNX export of pad_sequence with symbolic split lengths</a></td><td>112</td><td>ready for maintainer decision</td><td><div class='wide'>final maintainer merge/release decision</div></td><td>0</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/pull/186461' target='_blank' rel='noopener noreferrer'>pr #186461: Fix SymBool equality handling in symbolic shapes</a></td><td>112</td><td>ready for maintainer decision</td><td><div class='wide'>final maintainer merge/release decision</div></td><td>0</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/pull/184716' target='_blank' rel='noopener noreferrer'>pr #184716: Fix conv_transpose2d meta output padding validation</a></td><td>112</td><td>ready for maintainer decision</td><td><div class='wide'>final maintainer merge/release decision</div></td><td>0</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/pull/185691' target='_blank' rel='noopener noreferrer'>pr #185691: Avoid UB in float to signed integer casts</a></td><td>112</td><td>ready for maintainer decision</td><td><div class='wide'>final maintainer merge/release decision</div></td><td>1</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/pull/184939' target='_blank' rel='noopener noreferrer'>pr #184939: Support SymInt steps for linspace/logspace export</a></td><td>112</td><td>ready for maintainer decision</td><td><div class='wide'>final maintainer merge/release decision</div></td><td>20</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/pull/189307' target='_blank' rel='noopener noreferrer'>pr #189307: [CI/CD] Copy newer CUPTI headers into manywheel binary-build images</a></td><td>108</td><td>waiting on CI/check fix</td><td><div class='wide'>final maintainer merge/release decision</div></td><td>0</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/pull/186927' target='_blank' rel='noopener noreferrer'>pr #186927: [MPS] Gemv kernels</a></td><td>108</td><td>waiting on CI/check fix</td><td><div class='wide'>final maintainer merge/release decision</div></td><td>0</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/pull/189312' target='_blank' rel='noopener noreferrer'>pr #189312: [CUDA][cuBLAS] Change cuBLAS default workspace size for SM 11.0 to 32 MiB</a></td><td>108</td><td>waiting on CI/check fix</td><td><div class='wide'>final maintainer merge/release decision</div></td><td>0</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/pull/188301' target='_blank' rel='noopener noreferrer'>pr #188301: [inductor] Fix inductor dropping ordering dep between effectful ops with different kernel types</a></td><td>108</td><td>waiting on CI/check fix</td><td><div class='wide'>final maintainer merge/release decision</div></td><td>0</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/pull/184648' target='_blank' rel='noopener noreferrer'>pr #184648: [Test] Add has_sufficient_memory() hook to DeviceTypeTestBase</a></td><td>108</td><td>waiting on CI/check fix</td><td><div class='wide'>final maintainer merge/release decision</div></td><td>1</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/pull/188237' target='_blank' rel='noopener noreferrer'>pr #188237: Optimize CSR SpMM CPU grain size and inner accumulation</a></td><td>108</td><td>waiting on CI/check fix</td><td><div class='wide'>final maintainer merge/release decision</div></td><td>1</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/pull/187501' target='_blank' rel='noopener noreferrer'>pr #187501: [Stable C Shim] Use error message retrieval shim if available at runtime</a></td><td>108</td><td>waiting on CI/check fix</td><td><div class='wide'>final maintainer merge/release decision</div></td><td>13</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/pull/185882' target='_blank' rel='noopener noreferrer'>pr #185882: [PrivateUse1] Return `False` instead of `None` when PU1 backend is not available</a></td><td>108</td><td>waiting on CI/check fix</td><td><div class='wide'>final maintainer merge/release decision</div></td><td>15</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/153410' target='_blank' rel='noopener noreferrer'>issue #153410: [Feature request] `torch.export` .save/.load could support `safetensors` and/or `weights_only=True`</a></td><td>107</td><td>needs design decision</td><td><div class='wide'>review linked PR state before touching issue</div></td><td>171</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/188892' target='_blank' rel='noopener noreferrer'>issue #188892: nvidia-cudnn-cu13==9.20.0.48 bundled by torch is incomplete → CUDNN_STATUS_SUBLIBRARY_VERSION_MISMATCH</a></td><td>106</td><td>has linked PR</td><td><div class='wide'>confirm whether existing evidence is enough; otherwise wait for a reproducer</div></td><td>1</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/188970' target='_blank' rel='noopener noreferrer'>issue #188970: [MPS] SIGSEGV in MPSStream::copy with triton.cudagraphs (reduce-overhead/max-autotune) on deep fp16 graphs</a></td><td>106</td><td>has linked PR</td><td><div class='wide'>confirm whether existing evidence is enough; otherwise wait for a reproducer</div></td><td>1</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/pull/135631' target='_blank' rel='noopener noreferrer'>pr #135631: [scan] Autograd</a></td><td>100</td><td>waiting on CI/check fix</td><td><div class='wide'>final maintainer merge/release decision</div></td><td>521</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/pull/188115' target='_blank' rel='noopener noreferrer'>pr #188115: [Inductor][TEST] Align `test_main_loop_scaling` with H100 support surface</a></td><td>98</td><td>waiting on CI/check fix</td><td><div class='wide'>identify whether block is CI, merge conflict, or review gate</div></td><td>6</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/149447' target='_blank' rel='noopener noreferrer'>issue #149447: DTensor slicing on sharded dimension leads to replication</a></td><td>97</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>200</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/164929' target='_blank' rel='noopener noreferrer'>issue #164929: get_optimizer_state_dict modifies optimizer state</a></td><td>97</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>211</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/156563' target='_blank' rel='noopener noreferrer'>issue #156563: Segmentation fault (core dumped) in `torch.profiler.profile`</a></td><td>97</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>231</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/122019' target='_blank' rel='noopener noreferrer'>issue #122019: `F.max_pool3d`: Segfault due to incorrect `dilation` check in kernel</a></td><td>97</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>285</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/159238' target='_blank' rel='noopener noreferrer'>issue #159238: Performance regression: torch.jit.trace() significantly slower on RTX 5090 than RTX 4060 (cu128 nightly)</a></td><td>97</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>333</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/121219' target='_blank' rel='noopener noreferrer'>issue #121219: Torch profiler corrupted names with Python 3.11</a></td><td>97</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>335</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/91165' target='_blank' rel='noopener noreferrer'>issue #91165: [FSDP] FSDP with CPU offload consumes `1.65X` more GPU memory when training models with most of the params frozen</a></td><td>97</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>339</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/47260' target='_blank' rel='noopener noreferrer'>issue #47260: DDP doesn&#x27;t work with retain_graph = True</a></td><td>97</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>394</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/100253' target='_blank' rel='noopener noreferrer'>issue #100253: profiler.export_stacks doesn&#x27;t return stack trace unless experimental_config is provided</a></td><td>97</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>395</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/155147' target='_blank' rel='noopener noreferrer'>issue #155147: torch.profiler raises Aborted (core dumped) failurer related with GIL (gilstate_tss_set)</a></td><td>97</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>397</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/155146' target='_blank' rel='noopener noreferrer'>issue #155146: Segmentation fault when using torch.profiler</a></td><td>97</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>398</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/153941' target='_blank' rel='noopener noreferrer'>issue #153941: TorchScript Fails Type Inference When Using .item()-Derived Scalar in Tensor Construction</a></td><td>97</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>414</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/153260' target='_blank' rel='noopener noreferrer'>issue #153260: Export shouldn&#x27;t run TS under the hood.</a></td><td>97</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>421</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/153145' target='_blank' rel='noopener noreferrer'>issue #153145: Segmentation faults with CPU FlexAttention</a></td><td>97</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>425</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/152108' target='_blank' rel='noopener noreferrer'>issue #152108: [inductor][cpu] AMP static shape default wrapper AOTInductor performance regression in 2025_04_20 nightly release</a></td><td>97</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>440</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/145088' target='_blank' rel='noopener noreferrer'>issue #145088: [torchbench] torch._dynamo.exc.Unsupported: Graph break due to unsupported builtin None.morphologyEx</a></td><td>97</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>490</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/146788' target='_blank' rel='noopener noreferrer'>issue #146788: Segmentation Fault in `torch.choose_qparams_optimized` with Invalid Parameters</a></td><td>97</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>514</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/124950' target='_blank' rel='noopener noreferrer'>issue #124950: [distributed] First NCCL barrier does not respect timeout</a></td><td>97</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>525</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/71855' target='_blank' rel='noopener noreferrer'>issue #71855: Regression in multi-node training speed with Transformers + PyTorch</a></td><td>97</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>588</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/136712' target='_blank' rel='noopener noreferrer'>issue #136712: Segmentation fault (core dumped) in `torch.ao.nn.quantized.dynamic.LSTMCell/GRUCell`</a></td><td>97</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>650</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/136728' target='_blank' rel='noopener noreferrer'>issue #136728: Aborted (core dumped) in `torch.package.package_exporter.PackageExporter`/`torch.package.PackageExporter`</a></td><td>97</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>650</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/135835' target='_blank' rel='noopener noreferrer'>issue #135835: A segmentation fault will be raised when using the `torch._C._jit_to_backend`</a></td><td>97</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>664</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/81085' target='_blank' rel='noopener noreferrer'>issue #81085: RuntimeError: required keyword attribute &#x27;value&#x27; is undefined</a></td><td>97</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>667</td></tr><tr><td><a href='https://github.com/pytorch/pytorch/issues/128693' target='_blank' rel='noopener noreferrer'>issue #128693: Segmentation fault (core dumped) in `torch.fused_moving_avg_obs_fake_quant`</a></td><td>97</td><td>needs design decision</td><td><div class='wide'>review early; this can change release or regression risk</div></td><td>716</td></tr></tbody></table></div></section></div>