| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
| Parent folder | |||
| README.md | 2026-10-19 | 18.7 kB | |
| v0.19.8 Patch Release source code.tar.gz | 2026-10-19 | 213.6 MB | |
| v0.19.8 Patch Release source code.zip | 2026-10-19 | 214.9 MB | |
| Totals: 3 Items | 428.5 MB | 0 | |
What's Changed
- Deprecate leftovers of compression library by @hwchen2017 in https://github.com/deepspeedai/DeepSpeed/pull/8535
- Update version.txt after 0.19.7 release by @loadams in https://github.com/deepspeedai/DeepSpeed/pull/8555
- Deprecate loco zero++ by @hwchen2017 in https://github.com/deepspeedai/DeepSpeed/pull/8534
- Deprecate sparse_gradients by @pengdurice in https://github.com/deepspeedai/DeepSpeed/pull/8504
- docs: stop Codex false-alarm on DCO sign-off by @delock in https://github.com/deepspeedai/DeepSpeed/pull/8561
- Raise Modal sandbox timeout to absorb full-suite runtime by @jinyouzhi in https://github.com/deepspeedai/DeepSpeed/pull/8571
- Derive the autocast test backend and scope the bf16 gate to NCCL by @delock in https://github.com/deepspeedai/DeepSpeed/pull/8559
- Skip heavy CI for docs-only PRs touching root markdown by @delock in https://github.com/deepspeedai/DeepSpeed/pull/8560
- Deprecate APEX amp by @hwchen2017 in https://github.com/deepspeedai/DeepSpeed/pull/8564
- Document sub_group_size and correct its default to 1e9 by @shravanibnikam in https://github.com/deepspeedai/DeepSpeed/pull/8567
- Deprecate legacy curriculum learning by @hwchen2017 in https://github.com/deepspeedai/DeepSpeed/pull/8566
- [muon] Per-head Newton-Schulz for attention projections by @alanhuangyoo in https://github.com/deepspeedai/DeepSpeed/pull/8384
- Upgrade
yapfto v0.43.0 to fix EOFError failure in CI by @jinyouzhi in https://github.com/deepspeedai/DeepSpeed/pull/8574 - [AutoTP] Add support for vocab-parallel LM head and related configurations by @jinyouzhi in https://github.com/deepspeedai/DeepSpeed/pull/8309
- Remove Progressive Layer Dropping (PLD) support by @hwchen2017 in https://github.com/deepspeedai/DeepSpeed/pull/8562
- Support Muon in BF16_Optimizer with FP32 gradient accumulation by @0z5a in https://github.com/deepspeedai/DeepSpeed/pull/8526
- Register native pinned host memory with the CANN runtime for NPU by @VenusTZZ in https://github.com/deepspeedai/DeepSpeed/pull/8532
- implement register_host_memory and unregister_host_memory for supa by @frozenleaves in https://github.com/deepspeedai/DeepSpeed/pull/8537
- Remove elastic training by @pengdurice in https://github.com/deepspeedai/DeepSpeed/pull/8563
- Use int64 program ids in the SwiGLU and AutoEP fused restore Triton kernels by @pengdurice in https://github.com/deepspeedai/DeepSpeed/pull/8591
- Describe the GPTBigCode and Yuan shared-QK layouts by @Achyuthan-S in https://github.com/deepspeedai/DeepSpeed/pull/8575
- Fix HybridEngine OPT generation with modern cache interfaces by @0z5a in https://github.com/deepspeedai/DeepSpeed/pull/8523
- [muon] Per-head Muon for linear-attention layers: read head geometry from the owning module by @alanhuangyoo in https://github.com/deepspeedai/DeepSpeed/pull/8436
- [AutoTP] Support eager row-parallel output head training by @0z5a in https://github.com/deepspeedai/DeepSpeed/pull/8538
- Release AutoEP router-logit caches on checkpoint replay exits by @yh0903 in https://github.com/deepspeedai/DeepSpeed/pull/8581
- Fix memory leak and NULL-deref in shm_initialize by @tritsystem in https://github.com/deepspeedai/DeepSpeed/pull/8565
- Fix silent gradient-bucket drop on CPU in ZeRO-1/2 non-contiguous reduction by @delock in https://github.com/deepspeedai/DeepSpeed/pull/8382
- Add opt-in AutoEP Python GC policy by @yh0903 in https://github.com/deepspeedai/DeepSpeed/pull/8451
- [AutoTP] Add optional Liger vocabulary-parallel cross entropy by @0z5a in https://github.com/deepspeedai/DeepSpeed/pull/8540
- Overlap AutoEP split planning with token packing by @yh0903 in https://github.com/deepspeedai/DeepSpeed/pull/8359
- Normalize Gram Newton-Schulz inputs before casting to fp16 by @vineethsaivs in https://github.com/deepspeedai/DeepSpeed/pull/8533
- Remove the older TiledLoss and UlyssesSPFwdLossBwdWithLogits by @vineethsaivs in https://github.com/deepspeedai/DeepSpeed/pull/8587
- Wait for all async all-gathers in coalesced ZeRO-3 parameter gather by @delock in https://github.com/deepspeedai/DeepSpeed/pull/8539
- Skip narrow dtypes in the mixed-precision cast by @sfc-gh-abkulkarni in https://github.com/deepspeedai/DeepSpeed/pull/8416
- AutoEP: drop the redundant float32 copy in the default combine by @pengdurice in https://github.com/deepspeedai/DeepSpeed/pull/8621
- Remove stale compression test from HPU CI by @nathon-lee in https://github.com/deepspeedai/DeepSpeed/pull/8616
- Skip fp16 ZeroPP tests on accelerators without fp16 support by @jinyouzhi in https://github.com/deepspeedai/DeepSpeed/pull/8610
- AutoEP: share one DeepEP buffer across MoE layers instead of one per layer by @yh0903 in https://github.com/deepspeedai/DeepSpeed/pull/8557
- Implement graph operations for NPU accelerator by @VenusTZZ in https://github.com/deepspeedai/DeepSpeed/pull/8605
- Add opt-in regional compilation around AutoEP layers by @yh0903 in https://github.com/deepspeedai/DeepSpeed/pull/8380
- Fix pipe tests failures on CPU by @jinyouzhi in https://github.com/deepspeedai/DeepSpeed/pull/8611
- Run Muon once per optimizer step under ZeRO-3, not once per micro-batch by @alanhuangyoo in https://github.com/deepspeedai/DeepSpeed/pull/8600
- Fix 2 CPU failures in cpu-torch-latest by @jinyouzhi in https://github.com/deepspeedai/DeepSpeed/pull/8629
- Fix Muon optimizer under ZeRO CPU offload and bound gather buffers by @jinyouzhi in https://github.com/deepspeedai/DeepSpeed/pull/8464
- Loosen the late-iteration gradient tolerance in the checkpointing test by @delock in https://github.com/deepspeedai/DeepSpeed/pull/8648
- Add affine AutoEP checkpoint placement by @jinyouzhi in https://github.com/deepspeedai/DeepSpeed/pull/8544
- Fix SequenceTiledCompute backward for empty trailing shards by @taking-lying-flat in https://github.com/deepspeedai/DeepSpeed/pull/8434
- fix: Remove the unused ROCm Apex clone, build, and PYTHONPATH setup. by @nathon-lee in https://github.com/deepspeedai/DeepSpeed/pull/8617
- Avoid repeated full gradient clearing in ZeRO-3 subgroup updates by @aprylewu in https://github.com/deepspeedai/DeepSpeed/pull/8625
- Stage Muon's momentum once per partition in ZeRO-1/2 by @alanhuangyoo in https://github.com/deepspeedai/DeepSpeed/pull/8633
- A zero-element parameter loses its shape when it is bound to a flat buffer by @alanhuangyoo in https://github.com/deepspeedai/DeepSpeed/pull/8467
- Fix Muon aspect-ratio scale truncated when muon_update recompiles by @alanhuangyoo in https://github.com/deepspeedai/DeepSpeed/pull/8641
- Deprecate and remove graph harvesting by @hwchen2017 in https://github.com/deepspeedai/DeepSpeed/pull/8579
- Replay AutoEP's cached DeepEP dispatch in the layout it was built with by @yh0903 in https://github.com/deepspeedai/DeepSpeed/pull/8636
- Keep ZenFlow Adam step counters in float32 by @vineethsaivs in https://github.com/deepspeedai/DeepSpeed/pull/8496
- [AutoTP] Implement VocabParallelEmbedding and enhance tied model support by @jinyouzhi in https://github.com/deepspeedai/DeepSpeed/pull/8582
- docs: add Simplified Chinese translation (README.zh.md) by @JasonYeYuhe in https://github.com/deepspeedai/DeepSpeed/pull/8498
- fix(rollout): reject shared prefill with continuous batching by @modelpath-dev in https://github.com/deepspeedai/DeepSpeed/pull/8583
- AutoEP: Add activation registry by @pengdurice in https://github.com/deepspeedai/DeepSpeed/pull/8650
- Skip ZeRO DeepCompile backward hooks for AutoSP by @jinyouzhi in https://github.com/deepspeedai/DeepSpeed/pull/8667
- Add
DualPipeVby @phoeenniixx in https://github.com/deepspeedai/DeepSpeed/pull/8576 - Implement FusedLion, FusedLamb, and Quantizer ops for NPU accelerator by @VenusTZZ in https://github.com/deepspeedai/DeepSpeed/pull/8627
- Fix Triton compatibility for FlashAttention and MatMul autotuning by @hwchen2017 in https://github.com/deepspeedai/DeepSpeed/pull/8679
- fix(rollout): forward top-k sampling configuration by @nathon-lee in https://github.com/deepspeedai/DeepSpeed/pull/8676
- Skip fp16-config tests on accelerators without fp16 support by @delock in https://github.com/deepspeedai/DeepSpeed/pull/8684
- Consolidate PRs for docs and typos by @hwchen2017 in https://github.com/deepspeedai/DeepSpeed/pull/8689
- Fix ZeRO-3 Muon all-gather for mixed parameter shapes by @jinyouzhi in https://github.com/deepspeedai/DeepSpeed/pull/8628
- Reject amsgrad in DeepSpeedCPUAdam instead of ignoring it by @vineethsaivs in https://github.com/deepspeedai/DeepSpeed/pull/8694
- Fix FPDT K/V gradient buffers under grouped-query attention by @jinyouzhi in https://github.com/deepspeedai/DeepSpeed/pull/8665
- Check AutoSP sequence length and head count divisibility by @jinyouzhi in https://github.com/deepspeedai/DeepSpeed/pull/8675
- Validate the AutoSP SP/DP mesh when registering process groups by @jinyouzhi in https://github.com/deepspeedai/DeepSpeed/pull/8674
- Use expert gradients, not expert weights, in the FP16_Optimizer MoE grad norm by @yh0903 in https://github.com/deepspeedai/DeepSpeed/pull/8635
- Restore a shard from the map the layer published by @Achyuthan-S in https://github.com/deepspeedai/DeepSpeed/pull/8622
- AutoEP: one program per token in the fused weighted restore forward by @yh0903 in https://github.com/deepspeedai/DeepSpeed/pull/8678
- Nightly full-suite run with classified failure triage by @delock in https://github.com/deepspeedai/DeepSpeed/pull/8606
- Keep Muon's update at full size under fp16 loss scaling by @alanhuangyoo in https://github.com/deepspeedai/DeepSpeed/pull/8655
- Add Fengchun Hua (hipudding) to COMMITTERS.md by @PKUWZP in https://github.com/deepspeedai/DeepSpeed/pull/8718
- Add opt-in fused AutoEP DeepEP row weighting by @yh0903 in https://github.com/deepspeedai/DeepSpeed/pull/8644
- AutoEP: MiniMax-M3 preset by @pengdurice in https://github.com/deepspeedai/DeepSpeed/pull/8651
- AutoEP: reorder expert rows with gathers on the collective path by @yh0903 in https://github.com/deepspeedai/DeepSpeed/pull/8671
- Fix Ulysses SP registration for string model paths and gloo collectives by @delock in https://github.com/deepspeedai/DeepSpeed/pull/8702
- Harden ZeRO-1/2 offload gradient storage lifetime and stream ordering by @jeffra in https://github.com/deepspeedai/DeepSpeed/pull/8632
- Give rollout cache fakes the per-layer config Transformers now reads by @sfc-gh-truwase in https://github.com/deepspeedai/DeepSpeed/pull/8730
- Add an opt-in fused Triton RoPE for Hugging Face split-half models by @yh0903 in https://github.com/deepspeedai/DeepSpeed/pull/8663
- feat(rollout): align decode fronts and trim dead zones by @nathon-lee in https://github.com/deepspeedai/DeepSpeed/pull/8497
- Fix autotuner crash when an experiment produces no metric by @Rakshit-gen in https://github.com/deepspeedai/DeepSpeed/pull/8421
- Raise Modal nightly Sandbox timeout to 2h by @delock in https://github.com/deepspeedai/DeepSpeed/pull/8746
- Keep invalid group-norm sentinels from becoming a finite 1.0 step by @sfc-gh-truwase in https://github.com/deepspeedai/DeepSpeed/pull/8638
- Pin Modal torch-latest to OCI and cover PR open events by @tohtana in https://github.com/deepspeedai/DeepSpeed/pull/8770
- Add AWS capacity fallback for torch-latest by @tohtana in https://github.com/deepspeedai/DeepSpeed/pull/8778
- [BUG] Replace deprecated
npu_apply_adam(_w)withtorch._fused_adam(w)_on NPU by @Ginray in https://github.com/deepspeedai/DeepSpeed/pull/8640 - Release each BF16 gradient once immediate_grad_update has accumulated it by @yh0903 in https://github.com/deepspeedai/DeepSpeed/pull/8654
- Stream AWS fallback logs while commands run by @tohtana in https://github.com/deepspeedai/DeepSpeed/pull/8783
- Assert offload-state removal only when offload leaves the accelerator by @delock in https://github.com/deepspeedai/DeepSpeed/pull/8738
- [AutoTP] Support tied embeddings for row-parallel output-head training by @jinyouzhi in https://github.com/deepspeedai/DeepSpeed/pull/8680
- Keep the buffers a model names for fp32 in fp32 under ZeRO-3 by @pengdurice in https://github.com/deepspeedai/DeepSpeed/pull/8699
- Fix DataAnalyzer.run_map crashing when specific_threads is set by @Rakshit-gen in https://github.com/deepspeedai/DeepSpeed/pull/8758
- feat(rollout): add OPSD response token loss primitives by @nathon-lee in https://github.com/deepspeedai/DeepSpeed/pull/8677
- Use default fp32 tolerances in AutoTP training tests by @hwchen2017 in https://github.com/deepspeedai/DeepSpeed/pull/8796
- Guard the shm inference all-reduce on the host ISA by @delock in https://github.com/deepspeedai/DeepSpeed/pull/8701
- Reduce unnecessary CI work for documentation changes and consolidate agent instructions in AGENTS.md by @hwchen2017 in https://github.com/deepspeedai/DeepSpeed/pull/8794
- Avoid circuler import caused by Hybrid Engine and OPT model by @tohtana in https://github.com/deepspeedai/DeepSpeed/pull/8737
- AutoEP + AutoTP folding under ZeRO-3 by @pengdurice in https://github.com/deepspeedai/DeepSpeed/pull/8670
- Add an opt-in fused Triton RMSNorm for Llama-style Hugging Face models by @yh0903 in https://github.com/deepspeedai/DeepSpeed/pull/8645
- Log the skipped optimizer step on gradient overflow by @sfc-gh-abkulkarni in https://github.com/deepspeedai/DeepSpeed/pull/8417
- [UC] Plan a scale-1 affine shard-to-shard transfer without rebuilding the parameter by @0z5a in https://github.com/deepspeedai/DeepSpeed/pull/8623
- Preserve non-floating buffers in ZeRO checkpoint conversion by @aprylewu in https://github.com/deepspeedai/DeepSpeed/pull/8515
- [Bug Fix] Fix CPUAdagrad updates with nonzero weight decay by @hwchen2017 in https://github.com/deepspeedai/DeepSpeed/pull/8781
- [checkpoint] Refuse a map whose pieces write the same shard address by @0z5a in https://github.com/deepspeedai/DeepSpeed/pull/8624
- [AutoSP] Honor seq_dim when AutoSP shards inputs by @jinyouzhi in https://github.com/deepspeedai/DeepSpeed/pull/8720
- [AutoSP] Fix tensor truthiness in get_node_shape_meta by @jinyouzhi in https://github.com/deepspeedai/DeepSpeed/pull/8760
- Add an opt-in chunked causal-LM loss that keeps no full-vocabulary FP32 tensor by @yh0903 in https://github.com/deepspeedai/DeepSpeed/pull/8653
- [AutoSP] Rebuild query-sharded attention masks before SDPA by @jinyouzhi in https://github.com/deepspeedai/DeepSpeed/pull/8761
- Replay AutoEP's DeepEP dispatch layout in non-reentrant checkpoint recompute by @yh0903 in https://github.com/deepspeedai/DeepSpeed/pull/8731
- Add an opt-in fused gate+up grouped GEMM for AutoEP experts by @yh0903 in https://github.com/deepspeedai/DeepSpeed/pull/8733
- Add a pr-checklist agent skill and an AI contribution policy by @PKUWZP in https://github.com/deepspeedai/DeepSpeed/pull/8744
- AutoEP: do not slice DeepEP buffers that already hold exactly the arrived rows by @yh0903 in https://github.com/deepspeedai/DeepSpeed/pull/8747
- Use C++20 for XPU op builders on torch 2.12+ by @jinyouzhi in https://github.com/deepspeedai/DeepSpeed/pull/8803
- [bug fix] ZeRO2: preserve fp32 grad accumulation precision in partition storage by @stas00 in https://github.com/deepspeedai/DeepSpeed/pull/8749
- Reduce chunked cross-entropy memory test footprint by @tohtana in https://github.com/deepspeedai/DeepSpeed/pull/8824
- [CI] Run torch-latest only on AWS by @tohtana in https://github.com/deepspeedai/DeepSpeed/pull/8825
- Build CPU optimizer ops without CUDA and fix the CPU Lion SIMD update by @hwchen2017 in https://github.com/deepspeedai/DeepSpeed/pull/8813
- Add a nightly multi-rank CPU suite by @delock in https://github.com/deepspeedai/DeepSpeed/pull/8806
- Respect BF16 overflow-check opt-out in ZeRO-1/2 by @XFDG in https://github.com/deepspeedai/DeepSpeed/pull/8818
- Speed up import deepspeed by deferring heavy imports and import-time work by @hwchen2017 in https://github.com/deepspeedai/DeepSpeed/pull/8807
- Use C++20 for NPU op builders on torch 2.12+ by @VenusTZZ in https://github.com/deepspeedai/DeepSpeed/pull/8816
- [fix] NPU: RoPE correctness, inverse-frequency caching, and KV cache preallocation in the inference op by @VenusTZZ in https://github.com/deepspeedai/DeepSpeed/pull/8776
- Release GIL while destroying AIO handles by @tohtana in https://github.com/deepspeedai/DeepSpeed/pull/8832
- Add vocabulary-parallel logprobs, entropy and KL ops by @jinyouzhi in https://github.com/deepspeedai/DeepSpeed/pull/8791
- Describe the CodeGen fused-QKV layout as a block selection by @Achyuthan-S in https://github.com/deepspeedai/DeepSpeed/pull/8706
- Add vocabulary-parallel fused linear cross entropy by @jinyouzhi in https://github.com/deepspeedai/DeepSpeed/pull/8792
- [CI] Restore Modal-first torch-latest routing by @tohtana in https://github.com/deepspeedai/DeepSpeed/pull/8849
- Fix TestLionConfigs on the CPU accelerator and run it on every runner by @hwchen2017 in https://github.com/deepspeedai/DeepSpeed/pull/8833
- Add deepspeed.comm.pg_utils.is_parallel for optional parallel groups by @jinyouzhi in https://github.com/deepspeedai/DeepSpeed/pull/8815
- Release process-group caches before CPU/Gloo worker shutdown by @tohtana in https://github.com/deepspeedai/DeepSpeed/pull/8846
- Add KLXPU (KUNLUNXIN XPU) accelerator by @GuCarpenter in https://github.com/deepspeedai/DeepSpeed/pull/8799
- Enable CUDA Graph for continuous rollouts by @nathon-lee in https://github.com/deepspeedai/DeepSpeed/pull/8732
New Contributors
- @shravanibnikam made their first contribution in https://github.com/deepspeedai/DeepSpeed/pull/8567
- @VenusTZZ made their first contribution in https://github.com/deepspeedai/DeepSpeed/pull/8532
- @tritsystem made their first contribution in https://github.com/deepspeedai/DeepSpeed/pull/8565
- @sfc-gh-abkulkarni made their first contribution in https://github.com/deepspeedai/DeepSpeed/pull/8416
- @aprylewu made their first contribution in https://github.com/deepspeedai/DeepSpeed/pull/8625
- @JasonYeYuhe made their first contribution in https://github.com/deepspeedai/DeepSpeed/pull/8498
- @modelpath-dev made their first contribution in https://github.com/deepspeedai/DeepSpeed/pull/8583
- @phoeenniixx made their first contribution in https://github.com/deepspeedai/DeepSpeed/pull/8576
- @Ginray made their first contribution in https://github.com/deepspeedai/DeepSpeed/pull/8640
- @XFDG made their first contribution in https://github.com/deepspeedai/DeepSpeed/pull/8818
- @GuCarpenter made their first contribution in https://github.com/deepspeedai/DeepSpeed/pull/8799
Full Changelog: https://github.com/deepspeedai/DeepSpeed/compare/v0.19.7...v0.19.8