LLM first transformers UT (#8514)
* ut * transformers api first ut * name * dir issue * use chatglm instead of chatglm2 * omp * set omp in sh * source * taskset * test * test omp * add test
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3 changed files with 68 additions and 1 deletions
8
.github/workflows/llm_unit_tests_linux.yml
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.github/workflows/llm_unit_tests_linux.yml
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@ -41,6 +41,9 @@ env:
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BLOOM_INT4_CKPT_PATH: ./llm/ggml-actions/stable/bigdl_llm_bloom_7b_q4_0.bin
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STARCODER_INT4_CKPT_PATH: ./llm/ggml-actions/stable/bigdl_llm_santacoder_1b_q4_0.bin
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LLM_DIR: ./llm
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ORIGINAL_CHATGLM_6B_PATH: ./llm/chatglm-6b/
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# A workflow run is made up of one or more jobs that can run sequentially or in parallel
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jobs:
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llm-cpp-build:
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@ -73,6 +76,7 @@ jobs:
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uses: ./.github/actions/llm/setup-llm-env
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env:
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ANALYTICS_ZOO_ROOT: ${{ github.workspace }}
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OMP_NUM_THREADS: 24
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- name: Download ckpt models
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run: |
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@ -92,6 +96,10 @@ jobs:
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echo "Directory $STARCODER_INT4_CKPT_PATH not found. Downloading from FTP server..."
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wget --no-verbose $LLM_FTP_URL/${STARCODER_INT4_CKPT_PATH:1} -P $INT4_CKPT_DIR
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fi
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if [ ! -d $ORIGINAL_CHATGLM_6B_PATH ]; then
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echo "Directory $ORIGINAL_CHATGLM_6B_PATH not found. Downloading from FTP server..."
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wget -r -nH --no-verbose --cut-dirs=2 $LLM_FTP_URL/${ORIGINAL_CHATGLM_6B_PATH:1} -P $LLM_DIR
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fi
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- name: Run LLM cli test
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uses: ./.github/actions/llm/cli-test
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55
python/llm/test/inference/test_transformers_api.py
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python/llm/test/inference/test_transformers_api.py
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@ -0,0 +1,55 @@
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#
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# Copyright 2016 The BigDL Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from bigdl.llm.models import Llama, Bloom, Gptneox, Starcoder
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from bigdl.llm.utils import get_avx_flags
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import unittest
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import os
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import time
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import torch
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from bigdl.llm.transformers import AutoModelForCausalLM, AutoModel
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from transformers import LlamaTokenizer, AutoTokenizer
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class TestTransformersAPI(unittest.TestCase):
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def setUp(self):
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thread_num = os.environ.get('THREAD_NUM')
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if thread_num is not None:
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self.n_threads = int(thread_num)
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else:
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self.n_threads = 2
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def test_transformers_int4(self):
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model_path = os.environ.get('ORIGINAL_CHATGLM_6B_PATH')
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model = AutoModel.from_pretrained(model_path, trust_remote_code=True, load_in_4bit=True)
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tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)
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input_str = "晚上睡不着应该怎么办"
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with torch.inference_mode():
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st = time.time()
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input_ids = tokenizer.encode(input_str, return_tensors="pt")
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output = model.generate(input_ids, do_sample=False, max_new_tokens=32)
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output_str = tokenizer.decode(output[0], skip_special_tokens=True)
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end = time.time()
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print('Prompt:', input_str)
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print('Output:', output_str)
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print(f'Inference time: {end-st} s')
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if __name__ == '__main__':
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unittest.main()
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@ -4,12 +4,16 @@ export ANALYTICS_ZOO_ROOT=${ANALYTICS_ZOO_ROOT}
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export LLM_HOME=${ANALYTICS_ZOO_ROOT}/python/llm/src
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export LLM_INFERENCE_TEST_DIR=${ANALYTICS_ZOO_ROOT}/python/llm/test/inference
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source bigdl-nano-init
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set -e
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echo "# Start testing inference"
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start=$(date "+%s")
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python -m pytest -s ${LLM_INFERENCE_TEST_DIR}
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python -m pytest -s ${LLM_INFERENCE_TEST_DIR} -k "not test_transformers_int4"
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export OMP_NUM_THREADS=24
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taskset -c 0-23 python -m pytest -s ${LLM_INFERENCE_TEST_DIR} -k test_transformers_int4
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now=$(date "+%s")
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time=$((now-start))
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