231b968aba
* add batch 2&4 and exclude to perf_test * modify the perf-test&437 yaml * modify llm_performance_test.yml * remove batch 4 * modify check_results.py to support batch 2&4 * change the batch_size format * remove genxir * add str(batch_size) * change actual_test_casese in check_results file to support batch_size * change html highlight * less models to test html and html_path * delete the moe model * split batch html * split * use installing from pypi * use installing from pypi - batch2 * revert cpp * revert cpp * merge two jobs into one, test batch_size in one job * merge two jobs into one, test batch_size in one job * change file directory in workflow * try catch deal with odd file without batch_size * modify pandas version * change the dir * organize the code * organize the code * remove Qwen-MOE * modify based on feedback * modify based on feedback * modify based on second round of feedback * modify based on second round of feedback + change run-arc.sh mode * modify based on second round of feedback + revert config * modify based on second round of feedback + revert config * modify based on second round of feedback + remove comments * modify based on second round of feedback + remove comments * modify based on second round of feedback + revert arc-perf-test * modify based on third round of feedback * change error type * change error type * modify check_results.html * split batch into two folders * add all models * move csv_name * revert pr test * revert pr test --------- Co-authored-by: Yishuo Wang <yishuo.wang@intel.com>
19 lines
619 B
YAML
19 lines
619 B
YAML
# For the models that require transformers 4.37.0
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repo_id:
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- 'Qwen/Qwen1.5-7B-Chat'
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- 'microsoft/phi-2'
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- 'microsoft/Phi-3-mini-4k-instruct'
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- 'meta-llama/Meta-Llama-3-8B-Instruct'
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local_model_hub: '/mnt/disk1/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: 2 # 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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- '2048-256'
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test_api:
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- "transformer_int4_gpu" # on Intel GPU
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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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