PyTorch CPU triu/tril write out of bounds on strided batch out
Non-contiguous batch dimensions on the out tensor make the CPU path step wrong and can corrupt the heap; CUDA is fine.
By tensorNon-contiguous batch dimensions on the out tensor make the CPU path step wrong and can corrupt the heap; CUDA is fine.
By tensorReview of pending allocator work also flags null returns that can produce CUDA tensors backed by address zero.
By tensorHybrid attention and delta-net models such as Qwen3.5 cannot run through llama_opt_epoch until several missing gradient rules land.
By tensorUnvalidated tensor ops in GRAPH_COMPUTE handling can drive PAD_REFLECT_1D past the destination buffer on reachable servers.
By tensorA precompile import path can stage a checked runtime-cache bundle so GPU kernel launches skip first-use compile and autotune.
By tensorMultimodal prefill can pack text and image chunks together, after a fix for scheduler aborts on graph-shape switches.
By tensorThe work also covers a large-context softmax crash and a data race that may affect the full model.
By tensorFuzzing found two paths where malformed model tensors trigger undefined behavior before validation finishes.
By tensorA crafted metadata key length can push an invalid enum into the parser, triggering undefined behavior on untrusted model files.
By tensorUncapped nested range loops in chat templates can pin llama-server before it finishes starting.
By tensorA fill-order versus stride-order mixup in copy_strided lowering overruns CPU buffers under torch.compile with dynamic shapes.
By tensorCompiled functions under fullgraph mode lost in-place list and dict updates performed by methods on classes defined inside the region.
By tensorA proposed change would process output channels concurrently and cut redundant writes on common Fold shapes.
By tensorA broad patch set enables boolean control over retained logits and exposes last hidden states for the model family.
By tensorCoordinate-descent autotune can pick an R0_BLOCK smaller than workspace allocation assumes, overrunning the buffer under torch.compile.
By tensorThe proposed server runtime skipped container checks and would let remote clients read host files or pull arbitrary images.
By tensorA functionalization change that turns multi-output splits into slices leaves vLLM’s pattern matcher with nothing to fuse under Inductor graph partition.
By tensorAn optional compression path can roughly halve host memory for recurrent-state context checkpoints in the llama.cpp server, remaining off by default.
By tensorNew kernels for Xe-LPG Plus, Xe2, and Xe3 target faster long-context token generation on recent Intel GPUs.
By tensorCompiled F.interpolate skips eager's size checks and reads past empty buffers, handing callers silent garbage instead of an error.
By tensorOpt-in graphs on the oneAPI backend show modest decode gains in early Arc tests, with timeouts still under review.
By tensorAddressSanitizer exposed a heap read past an undersized position buffer when batches auto-generate multi-dimensional rotary embeddings.
By tensorUntrusted paths from fork pull requests were fed into the model as trusted hook context, enabling prompt injection without model cooperation.
By tensorThe CPU path indexes running mean and variance by channel count without checking buffer length, causing heap out-of-bounds access.
By tensorUnchecked offsets in _reinterpret_tensor let callers produce views that read past storage and trigger heap buffer overflows.
By tensorCallers who sized the position array to the documented n_tokens still hit a multi-kilobyte overread and silent corruption on multimodal decode.
By tensorThe addition brings compressed sparse attention, n-gram memory tables, and baked-in activation quantization to the library’s DeepSeek line.
By tensorJohannes Gaessler rejects a pull request adding CPU quantization formats, citing maintenance burden and machine-generated code.
By tensorOn gfx1151 hardware, truncated over-window prompts can replay another request's completion instead of generating a new one.
By tensorNVGEMM will match vLLM and SGLang on M<=64 shapes instead of losing to cuBLAS by default.
By tensorAlignment math can overflow so a crafted model file bypasses size checks and understates its true footprint.
By tensorFull-width vector stores on tail blocks of 2D-tiled reductions corrupt memory or silently rewrite neighboring output rows.
By tensorThe project is adding a two-dimensional device mesh so fully sharded data parallel can run with tensor and expert parallelism.
By tensorA ones-tensor repro shows an out-of-bounds global load in the GPU prefix-sum path once the length exceeds roughly a billion floats.
By tensorA proposed torch.autograd.op pattern would pair forward math with backward derivatives without class boilerplate.
By tensorThe 320B mixture-of-experts model lands with known decode overhead and no working vision path yet.
By tensorA new cooperative-matrix matmul path in the Vulkan backend lifts prompt and token throughput on Radeon RX 7900-class GPUs.
By tensorCrafted links can auto-submit prompts that invoke enabled server tools, including shell execution when confirmation is waived.
By tensorTwo-node RPC tests show decode and prefill roughly 1.8x faster with lower intermediate memory use.
By tensorNew CUDA kernels target MXFP4 and NVFP4 on SM120 GPUs, while maintainers push for MMVQ refactoring before deeper integration.
By tensor