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0f8ec693b2
4 Commits
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8709fe8b53
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chore: bump version to 0.19.0 (#3598) (#3841)
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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1299f27c74
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fix: Fix C++ decoder synchronization in PyTorch (#3106)
* Use updateDecoderBuffers in python decoder. Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Fix synchronize in trtllm decoder. Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Enable by default. Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Use guided_decoder to setup seqslots and free them. Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Use always decode_async and update_requests. Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Update decoder buffers. Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Fix speculative decoding tests. Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Send new_tensors_host instead of assuming dict. Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Make default False in enable_trtllm_decoder. Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Partially fix mtp, partially fix py_executor. Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Update request states before sending disagg ctx cache. Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Fix disagg test for torch decoder. Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Make isend_tensor_list and recv_tensor_list for sending the tensors_host. Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Formatting. Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Fix rebase. Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Add disagg serving case to guided decoder. Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Get overlap scheduling to work. Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Update cutlass to main. Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Update after rebasing. Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Formatting. Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Update to use decode async and update requests. Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Properly pass information to update_requests Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Formatting. Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Make disaggregated serving a step closer to working. Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Fix rebase. Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Fix rebase and format. Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Copy new device tokens more pythonic. Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Restore MTP add dummy reqs. Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Add ordereddict import to py_executor. Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Formatting. Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Added seq slot manager. Add test. Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Use transmission for single tensor except when list of tensors is received. Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Add TRTLLMDecoder allocation to estimate max kv cache tokens. Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Add stream synchronization Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Formatting. Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Make memory calculation of decoder adapt to the chosen decoder. Recognize decoder option passed in executorconfig. Make overlap scheduler test run on TinyLlama. Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Format Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Add decoder creation to estimate max kv. Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Formatting. Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> * Update submodule UCXX inline with main. Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> --------- Signed-off-by: Daniel Campora <961215+dcampora@users.noreply.github.com> |
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0ae7017342
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Unify two versions of AllReduce custom op (#3032)
* Rewrite unit test for unified allreduce op. Removing the legacy unit test. * Revise formats, fusion_op bindings. Put all tensors as optional inputs. * Move the MoeAllreduceOp to a separate custom op. * Move all the fusion patterns to the new version of the AllReduce fusion kernel. Remove the AllReduce strategy config. Revise the AllReduce strategies and fusion pattern definitions. * Add more TODOs, fixing minor bugs, and remove legacy code. Signed-off-by: Yukun He <23156053+hyukn@users.noreply.github.com> |
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112f716155
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chore: move all distributed related codes into _torch.distributed directory (#3511)
* move all distributed related codes into _torch.distributed directory Signed-off-by: junq <22017000+QiJune@users.noreply.github.com> * fix ci Signed-off-by: junq <22017000+QiJune@users.noreply.github.com> * fix ci Signed-off-by: junq <22017000+QiJune@users.noreply.github.com> --------- Signed-off-by: junq <22017000+QiJune@users.noreply.github.com> |