History

binbin Deng 7897eb4b51 LLM: add benchmark scripts on GPU (#8916 )		2023-09-07 18:08:17 +08:00
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prompt	transformer int4 and native int4's benchmark script for 32 256 1k 2k input (#8871 )	2023-09-07 09:49:55 +08:00
config.yaml	LLM: add benchmark scripts on GPU (#8916 )	2023-09-07 18:08:17 +08:00
README.md	LLM: add benchmark scripts on GPU (#8916 )	2023-09-07 18:08:17 +08:00
run-arc.sh	LLM: add benchmark scripts on GPU (#8916 )	2023-09-07 18:08:17 +08:00
run-spr.sh	[LLM] auto perf test to output to csv (#8846 )	2023-09-01 10:48:00 +08:00
run.py	LLM: add benchmark scripts on GPU (#8916 )	2023-09-07 18:08:17 +08:00

README.md

All in One Benchmark Test

All in one benchmark test allows users to test all the benchmarks and record them in a result CSV. Users can provide models and related information in config.yaml.

Before running, make sure to have bigdl-llm installed.

Config

Config YAML file has following format

repo_id:
  - 'THUDM/chatglm-6b'
  - 'THUDM/chatglm2-6b'
  - 'meta-llama/Llama-2-7b-chat-hf'
local_model_hub: 'path to your local model hub'
warm_up: 1
num_trials: 3
in_out_pairs:
  - '32-32'
  - '1024-128'
test_api:
  - "transformer_int4"
  - "native_int4"
  - "optimize_model"
  # - "transformer_int4_gpu"  # on arc
  # - "optimize_model_gpu"  # on arc

Run

run python run.py, this will output results to results.csv.

For SPR performance, run bash run-spr.sh. For ARC performance, run bash run-arc.sh