* Update igpu performance from transformers 4.36.2 to 4.37.0 (#11841)
* upgrade arc perf test to transformers 4.37 (#11842)
* fix load low bit com dtype (#11832)
* feat: add mixed_precision argument on ppl longbench evaluation
* fix: delete extra code
* feat: upgrade arc perf test to transformers 4.37
* fix: add missing codes
* fix: keep perf test for qwen-vl-chat in transformers 4.36
* fix: remove extra space
* fix: resolve pr comment
* fix: add empty line
* fix: add pip install for spr and core test
* fix: delete extra comments
* fix: remove python -m for pip
* Revert "fix load low bit com dtype (#11832)"
This reverts commit 6841a9ac8f.
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Co-authored-by: Zhao Changmin <changmin.zhao@intel.com>
Co-authored-by: Jinhe Tang <jin.tang1337@gmail.com>
* add transformers==4.36 for qwen vl in igpu-perf (#11846)
* add transformers==4.36.2 for qwen-vl
* Small update
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Co-authored-by: Yuwen Hu <yuwen.hu@intel.com>
* fix: remove qwen-7b on core test (#11851)
* fix: remove qwen-7b on core test
* fix: change delete to comment
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Co-authored-by: Jinhe Tang <jin.tang1337@gmail.com>
* replce filename (#11854)
* fix: remove qwen-7b on core test
* fix: change delete to comment
* fix: replace filename
---------
Co-authored-by: Jinhe Tang <jin.tang1337@gmail.com>
* fix: delete extra comments (#11863)
* Remove transformers installation for temp test purposes
* Small fix
* Small update
---------
Co-authored-by: Chu,Youcheng <70999398+cranechu0131@users.noreply.github.com>
Co-authored-by: Zhao Changmin <changmin.zhao@intel.com>
Co-authored-by: Jinhe Tang <jin.tang1337@gmail.com>
Co-authored-by: Zijie Li <michael20001122@gmail.com>
Co-authored-by: Chu,Youcheng <1340390339@qq.com>
		
	
			
		
			
				
	
	
		
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			30 lines
		
	
	
	
		
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repo_id:
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  - 'THUDM/chatglm2-6b'
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  - 'THUDM/chatglm3-6b'
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  - 'baichuan-inc/Baichuan2-7B-Chat'
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  - 'internlm/internlm-chat-7b'
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 # - 'Qwen/Qwen-7B-Chat'  # requires transformers < 4.37.0
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  - 'BAAI/AquilaChat2-7B'
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  - 'meta-llama/Llama-2-7b-chat-hf'
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  - 'WisdomShell/CodeShell-7B'
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  - 'tiiuae/falcon-7b-instruct-with-patch'
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local_model_hub: 'D:\llm-models'
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warm_up: 1
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num_trials: 3
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num_beams: 1 # default to greedy search
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low_bit: 'sym_int4' # default to use 'sym_int4' (i.e. symmetric int4)
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batch_size: 1 # default to 1
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in_out_pairs:
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  - '32-32'
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  - '1024-128'
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test_api:
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  - "transformer_int4"
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  # - "native_int4"
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  # - "optimize_model"
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  # - "pytorch_autocast_bf16"
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  # - "ipex_fp16_gpu" # on Intel GPU
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  # - "transformer_int4_gpu"  # on Intel GPU
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  # - "optimize_model_gpu"  # on Intel GPU
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  # - "deepspeed_transformer_int4_cpu" # on Intel SPR Server
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  # - "transformer_int4_gpu_win" # on Intel GPU for Windows (catch GPU peak memory)
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cpu_embedding: False # whether put embedding to CPU (only avaiable now for gpu win related test_api)
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