ViperEkura
1c7369f293
feat: add MoE auxiliary loss metrics
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- Propagates MoE load-balancing loss through model outputs
- Logs task, auxiliary, and weighted losses across strategies
- Computes only explicitly requested callback metrics
- Preserves tensor compute_loss API and adds regression tests
2026-08-02 06:30:43 +08:00
ViperEkura
7aa5ed09d9
refactor: unify rotary embedding interface and update docs
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- Merge cos/sin into single freqs_cis tensor [batch, seq, dim/2, 2] throughout the pipeline: RotaryEmbedding buffer, forward return type, apply_rotary_emb signature, CUDA kernel interface
- CUDA kernel now takes freqs_cis directly and reads cos/sin via stride offset internally, eliminating Python-side slice/copy overhead
- Kernel interface: rotary_emb(x, freqs_cis) replaces rotary_emb(x, cos, sin)
- All call sites pass rotary_emb as Tensor (was tuple), type annotations consistent
- Update build threads from 8 to 16
- Fix all docs: get-started, inference, training, cuda_kernels, architecture, internals — reflect new rotary interface, KVCache fields, rotary backend dispatch, .so path, kernel registry count, file layout
2026-07-31 16:52:25 +08:00
ViperEkura
c8b1e40f71
docs: restructure to docs/, add guides and developer docs
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- Rename assets/ to docs/, split into guides/ and developer/
- Add get-started.md: installation + 5-step quickstart
- Add guides/evaluation.md: 7 eval scripts with CLI args
- Add guides/distributed.md: DDP/FSDP, gradient accumulation, NCCL
- Add developer/internals.md: loss formulas, RoPE, KV cache math
- Add developer/cuda_kernels.md: build system, benchmarks, file layout
- Fix storage_format doc in preprocessing.md
- Update cross-references in README.md, README-zh-CN.md, Dockerfile
2026-07-30 00:49:04 +08:00
ViperEkura