[fix] fix overflow in softmax_kernel when process long seqlen and big batch… #524
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Thank you for the fixing. We are checking where this kernel may affect and need more time. |
sfc-gh-ashankar
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Jul 11, 2023
* Update beam_search_topk_kernels.cu fix: fix bug of beam search * fix: change int of some kernels to int64_t to prevent overflow * fix: gpt tensor shapes inconsistency (NVIDIA#505) Signed-off-by: AkiyamaYummy <[email protected]> * Update gpt_guide.md (NVIDIA#529) * fix: fix bug of gpt buffer and gpt gemm overflow * Update T5DecodingWeight.cc fix: fix loading bug of t5 * [Enhancement]add pytorch backend support for gptneox (NVIDIA#550) * add pytorch backend support for gptneox Signed-off-by: AkiyamaYummy <[email protected]> * fix early stopping invalid * 1) Some unused parameters and logic have been removed. 2) Revisions that would affect pipeline parallelism have been reverted. 3) The code has been made capable of direct validation on TabbyML/NeoX-1.3B. Signed-off-by: AkiyamaYummy <[email protected]> * Change the names of classes, removing 'parallel' from their names Signed-off-by: AkiyamaYummy <[email protected]> * Format the code. Signed-off-by: AkiyamaYummy <[email protected]> * Only print results when rank is 0. Signed-off-by: AkiyamaYummy <[email protected]> * Add dist.init_process_group(). Signed-off-by: AkiyamaYummy <[email protected]> * update docs Signed-off-by: AkiyamaYummy <[email protected]> --------- Signed-off-by: AkiyamaYummy <[email protected]> * Update cublasMMWrapper.cc Fix the CUBLAS_VERSION checking of cublasMMWrapper * Update cublasMMWrapper.cc * fix overflow in softmax_kernel when process long seqlen and big batch_size (NVIDIA#524) * Update unfused_attention_kernels.cu fix bug of softmax kernel * [Enhancement]create huggingface_gptneox_convert.py (NVIDIA#569) * create huggingface_gptneox_convert.py Signed-off-by: AkiyamaYummy <[email protected]> * adjust HF's multi bin files Signed-off-by: AkiyamaYummy <[email protected]> * update gptneox_guide.md Signed-off-by: AkiyamaYummy <[email protected]> --------- Signed-off-by: AkiyamaYummy <[email protected]> * perf(bloom): improve performance of huggingface_bloom_convert.py, decrease the time cost and the mem using (NVIDIA#568) Co-authored-by: r.yang <[email protected]> * Fix/gpt early stop (NVIDIA#584) * fix: fix bug of early stopping of gpt * [bugfix] Fix 2-shot All Reduce correctness issue (indexing bug). (NVIDIA#672) FasterTransformer 2-shot all reduce is implemented as a reduce-scatter + all-gather. There is an indexing bug in the all-gather step. Prior to this change, 2-shot all reduce was only producing correct results on device 0. Now, all devices have the correct results. * fix: swap tensor bug (NVIDIA#683) * Support size_per_head=112 (NVIDIA#660) * fix multi-gpu build * add support for size_per_head=112 for gpt decoder * remove mpi_cxx from multi-gpu build for now (NVIDIA#705) --------- Signed-off-by: AkiyamaYummy <[email protected]> Co-authored-by: byshiue <[email protected]> Co-authored-by: _yummy_ <[email protected]> Co-authored-by: Ying Sheng <[email protected]> Co-authored-by: zhangxin81 <[email protected]> Co-authored-by: 杨睿 <[email protected]> Co-authored-by: r.yang <[email protected]> Co-authored-by: Rahul Kindi <[email protected]> Co-authored-by: Perkz Zheng <[email protected]> Co-authored-by: Daya Khudia <[email protected]> Co-authored-by: Dean Wyatte <[email protected]>
sfc-gh-zhwang
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Oct 5, 2023
* Merge with main (#1) * Update beam_search_topk_kernels.cu fix: fix bug of beam search * fix: change int of some kernels to int64_t to prevent overflow * fix: gpt tensor shapes inconsistency (NVIDIA#505) Signed-off-by: AkiyamaYummy <[email protected]> * Update gpt_guide.md (NVIDIA#529) * fix: fix bug of gpt buffer and gpt gemm overflow * Update T5DecodingWeight.cc fix: fix loading bug of t5 * [Enhancement]add pytorch backend support for gptneox (NVIDIA#550) * add pytorch backend support for gptneox Signed-off-by: AkiyamaYummy <[email protected]> * fix early stopping invalid * 1) Some unused parameters and logic have been removed. 2) Revisions that would affect pipeline parallelism have been reverted. 3) The code has been made capable of direct validation on TabbyML/NeoX-1.3B. Signed-off-by: AkiyamaYummy <[email protected]> * Change the names of classes, removing 'parallel' from their names Signed-off-by: AkiyamaYummy <[email protected]> * Format the code. Signed-off-by: AkiyamaYummy <[email protected]> * Only print results when rank is 0. Signed-off-by: AkiyamaYummy <[email protected]> * Add dist.init_process_group(). Signed-off-by: AkiyamaYummy <[email protected]> * update docs Signed-off-by: AkiyamaYummy <[email protected]> --------- Signed-off-by: AkiyamaYummy <[email protected]> * Update cublasMMWrapper.cc Fix the CUBLAS_VERSION checking of cublasMMWrapper * Update cublasMMWrapper.cc * fix overflow in softmax_kernel when process long seqlen and big batch_size (NVIDIA#524) * Update unfused_attention_kernels.cu fix bug of softmax kernel * [Enhancement]create huggingface_gptneox_convert.py (NVIDIA#569) * create huggingface_gptneox_convert.py Signed-off-by: AkiyamaYummy <[email protected]> * adjust HF's multi bin files Signed-off-by: AkiyamaYummy <[email protected]> * update gptneox_guide.md Signed-off-by: AkiyamaYummy <[email protected]> --------- Signed-off-by: AkiyamaYummy <[email protected]> * perf(bloom): improve performance of huggingface_bloom_convert.py, decrease the time cost and the mem using (NVIDIA#568) Co-authored-by: r.yang <[email protected]> * Fix/gpt early stop (NVIDIA#584) * fix: fix bug of early stopping of gpt * [bugfix] Fix 2-shot All Reduce correctness issue (indexing bug). (NVIDIA#672) FasterTransformer 2-shot all reduce is implemented as a reduce-scatter + all-gather. There is an indexing bug in the all-gather step. Prior to this change, 2-shot all reduce was only producing correct results on device 0. Now, all devices have the correct results. * fix: swap tensor bug (NVIDIA#683) * Support size_per_head=112 (NVIDIA#660) * fix multi-gpu build * add support for size_per_head=112 for gpt decoder * remove mpi_cxx from multi-gpu build for now (NVIDIA#705) --------- Signed-off-by: AkiyamaYummy <[email protected]> Co-authored-by: byshiue <[email protected]> Co-authored-by: _yummy_ <[email protected]> Co-authored-by: Ying Sheng <[email protected]> Co-authored-by: zhangxin81 <[email protected]> Co-authored-by: 杨睿 <[email protected]> Co-authored-by: r.yang <[email protected]> Co-authored-by: Rahul Kindi <[email protected]> Co-authored-by: Perkz Zheng <[email protected]> Co-authored-by: Daya Khudia <[email protected]> Co-authored-by: Dean Wyatte <[email protected]> * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit * commit --------- Signed-off-by: AkiyamaYummy <[email protected]> Co-authored-by: Asim Shankar <[email protected]> Co-authored-by: byshiue <[email protected]> Co-authored-by: _yummy_ <[email protected]> Co-authored-by: Ying Sheng <[email protected]> Co-authored-by: zhangxin81 <[email protected]> Co-authored-by: 杨睿 <[email protected]> Co-authored-by: r.yang <[email protected]> Co-authored-by: Rahul Kindi <[email protected]> Co-authored-by: Perkz Zheng <[email protected]> Co-authored-by: Daya Khudia <[email protected]> Co-authored-by: Dean Wyatte <[email protected]>
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when process query of 2000 seqlen and 20 batch_size with model of 32 head num,
qkoffset is up to 32 * 20 * 2000 * 2000 which int32 can not handle.
so, int is replaced by int64_t to avoid overflow.