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8709fe8b53
test: add test cases for 0.19 release (#3608) * fix test name * add quickstart test for nemotron-ultra * add rcca multi-node test case for deepseek-v3 * add rcca info --------- squash (#3642) fix: nvbugs/5187237: fix deterministic mode crash (#3448) * nvbugs/5187237 nvbugs/5112075: fix deterministic mode error * remove waive * Revert "remove waive" This reverts commit 0bf5486d19906d692bfb7a6262333c296b0087ac. * revert ar fusion --------- update fp8 doc (#3647) tests: change qa perf test to trtllm-bench (#3619) fix: FP8 quantized lm_head (NvBug 5214229) (#3567) infra: Add PR approval protection for the release branch (#3634) fix: nvbugs/5231298: pytorch allreduce issue (#3673) Fix: nvbugs/5222698 variable not defined (#3630) * Fix: nvbugs/5222698 variable not defined * Tidy code --------- test:sync waives.txt from main branch by disabling test_perf/gpt_350m-cppmanager case (#3685) test:restore fp8 kv cache testing for L0 (#3671) doc: Update DeepSeek perf docs (#3693) * Update DeepSeek perf docs * update * Apply suggestions from code review --------- tests: waive test_llm_multi_node (#3664) fix: update test_user_buffers_mm_add_prologue atol (#3711) Fix: cherry-pick hmac encryption from main branch (#3635) * security fix cherry-pick changes from main * fix hmac in remote mpi session (#3649) --------- Un-waive DS-V3-Lite tests. (#3621) fix: FP8 kv accuracy (#3675) * fix FP8 kv accuracy * update doc --------- Fix script options for engines. (#3622) unwaive multi-node test (#3721) chore : Split more tests out of gpt tests (#3524) (#3674) doc:add torch examples link into torch backend documentation (#3749) test: Get Eagle tests working (#3593) (#3722) Waive L0 test (#3756) waive failed case in perf test, change default max_batch_size to 512 and write config.json to output log (#3656) Update ds v3 parameters in stress test. (#3676) waive gemma on L20 (#3766) https://nvbugs/5141291: Fix convert.py script for Qwen model. (#3758) Include Qwen2VLDecoderLayer in the smooth_qwen2_model function. fix: PP4 fixes and cleanup (#3688) remove benchmark test list (#3643) skip disagg deepseek test if sm!=90 (#3720) test: skip failed cases on B200 (#3710) * add skip condition to tests * fix error --------- test: [nvbug: 5234494] skip_pre_ada for fp8 cases (#3718) * skip_pre_ada for fp8 cases * update * update after rebase --------- add know issue to deepseek doc. (#3800) Fix ModelOpt Mixtral AWQ OOM (#3714) (#3761) Waive L0 tests (#3826) fix: Reduce memory usage in fused moe op associated with AutoTuning and fix moe fallback issue. (#3793) * Reduce memory usage in fused moe op associated with AutoTuning. * Replace pre-defined bucket size strategy with a generating function based on the tune_max_num_tokens. * Add free_memory logic of workspace in min_latency_mode fused moe path. * Fix fused_moe fallback issue. (#3652) min_latency_mode is only set to False during warmup phase. Thus when it becomes true during inference, all tactics fall back to the default one and thus cause perf regression. --------- [doc] Better document for Draft-Target-Model (DTM) speculative decoding (#3797) Fix pre-commit Fix again Address some review comments for the MI Signed-off-by: Dom Brown <3886319+DomBrown@users.noreply.github.com> Co-authored-by: Zhanrui Sun <184402041+ZhanruiSunCh@users.noreply.github.com> |
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| _static | ||
| _templates | ||
| advanced | ||
| architecture | ||
| blogs | ||
| commands | ||
| dev-on-cloud | ||
| examples | ||
| installation | ||
| llm-api | ||
| media | ||
| performance | ||
| python-api | ||
| reference | ||
| torch | ||
| conf.py | ||
| helper.py | ||
| index.rst | ||
| key-features.md | ||
| overview.md | ||
| quick-start-guide.md | ||
| release-notes.md | ||
| torch.md | ||