* [gemini] async grad chunk reduce (all-reduce&reduce-scatter)
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* [gemini] add test
* [gemini] rename func
* [gemini] update llama benchmark
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* [gemini] use tensor counter
* [gemini] change default config in GeminiPlugin and GeminiDDP
* [chore] typo
* [gemini] fix sync issue & add test cases
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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* fix test bugs
* add do sample test
* del useless lines
* fix comments
* fix tests
* delete version tag
* delete version tag
* add
* del test sever
* fix test
* fix
* Revert "add"
This reverts commit b9305fb024.
* clean requirements
* modify example inference struct
* add test ci scripts
* mark test_infer as submodule
* rm deprecated cls & deps
* import of HAS_FLASH_ATTN
* prune inference tests to be run
* prune triton kernel tests
* increment pytest timeout mins
* revert import path in openmoe
* [misc] remove config arg from initialize
* [misc] remove old tensor contrusctor
* [plugin] add npu support for ddp
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* [devops] fix doc test ci
* [test] fix test launch
* [doc] update launch doc
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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* optimize flashdecodingattention: refactor code with different key cache layout(from [num_blocks, num_kv_heads, block_size, head_size] to [num_blocks, num_kv_heads, head_size/x, block_size, x])
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* refactor compilation mechanism and unified multi hw
* fix file path bug
* add init.py to make pybind a module to avoid relative path error caused by softlink
* delete duplicated micros
* fix micros bug in gcc
* feat flash decoding for paged attention
* refactor flashdecodingattention
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* Adapted to the baichuan2-7B model
* modified according to the review comments.
* Modified the method of obtaining random weights.
* modified according to the review comments.
* change mlp layewr 'NOTE'
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* Use self.[distribute_layers|get_stage_index] to exploit custom layer distribution
* Change static methods for t5 layer distribution to member functions
* Change static methods for whisper layer distribution to member functions
* Replace whisper policy usage with self one
* Fix test case to use non-static layer distribution methods
* fix: fix typo
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Co-authored-by: Wenhao Chen <cwher@outlook.com>
* fix: simplify merge_batch
* fix: use return_outputs=False to eliminate extra memory consumption
* feat: add return_outputs warning
* style: remove `return_outputs=False` as it is the default value
botbw