Fix/h200 cu130 heyifan - #2014
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Co-authored-by: Cursor <cursoragent@cursor.com>
torch>=2.12 dynamo drops the bound self when a compiled outer forward calls a method whose class attr is the raw torch.compile object, which breaks under activation checkpointing. Wrap compiled methods so self is forwarded explicitly. Co-authored-by: Cursor <cursoragent@cursor.com>
The mypy hook checks the entire xtuner.v1 package, so unrelated type errors were preventing commits of otherwise clean changes. Co-authored-by: Cursor <cursoragent@cursor.com>
Give each rank its own TRITON_CACHE_DIR so concurrent compiles of the same kernel no longer race on shared cache files (PassManager::run failed). Mirror production per-submodule FSDP sharding in the toy model and average the reference gradients (SUM->AVG) so the FSDP test compares correctly. Seed TestMuonFSDP before build and relax the distributed tolerance to reflect bf16 Newton-Schulz + reduce-scatter roundoff (single-GPU still asserts at 1e-6). Co-authored-by: Cursor <cursoragent@cursor.com>
Bump BASE_IMAGE to NGC pytorch 26.03-py3 (CUDA 13.2.0.046 / cuDNN 9.20 / NCCL 2.29.7) and torch to 2.12.1 from the cu132 wheel index. Patch adaptive_gemm's tma_utils.cuh to alias the CUDA 12 PFN_cuTensorMapEncodeTiled typedef removed in CUDA 13 (guarded by CUDA_VERSION>=13000, self-checked with grep). Pin tilelang to 0.1.11 to match the validated pt121 stack. Co-authored-by: Cursor <cursoragent@cursor.com>
Match every pinned version/commit to the glm52-pt121 conda env that the GLM-5.2 upgrade was validated against: - flash-attention -> 8a8b2f10 (FA3, matches flash_attn_3 8a8b2f); stop building/installing flash_attn 2.x since the env has only flash_attn_3 - GroupedGEMM -> 21c199d (matches grouped_gemm 1.1.4) - flash-linear-attention -> pin tmp-tensor-cache to commit 72d2a8f - torchvision==0.27.1, xgrammar==0.2.3, timm==1.0.28 Co-authored-by: Cursor <cursoragent@cursor.com>
Snapshot parametrize namespaces during collection, and give pytest parent plus each DDP rank isolated Triton/Inductor cache dirs so full-suite runs no longer hit PassManager corruption. Co-authored-by: Cursor <cursoragent@cursor.com>
The historical passing SFT run was reproduced on main@731de416 with glm52-pt121, torch 2.12.1+cu132, and transformers 5.14.1. That state used the newer Qwen3.5 MTP loss baselines, while upgrade/torch2.12.1-cu132-main-prep still carried older values from fbc72fa. Restore the baselines to the reproduced passing values. The upgrade branch is rebased on upstream/main@5c2275c7, which changed DenseDecoderLayer.forward to accept *hidden_states plus keyword-only position_embeddings and seq_ctx for multi-micro-batch execution. The old positional test call now binds the rotary embeddings and SequenceContext as extra hidden states and leaves the required keyword-only arguments unset, causing a TypeError. Call the layer with explicit keywords to match the rebased interface.
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support cuda13.0