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 6841a9a. --------- Co-authored-by: Zhao Changmin <[email protected]> Co-authored-by: Jinhe Tang <[email protected]>
intel-analytics · Aug 19, 2024 · a78e0b9 · a78e0b9
1 parent 1ac3440
commit a78e0b9
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diff --git a/.github/workflows/llm_performance_tests.yml b/.github/workflows/llm_performance_tests.yml
@@ -153,7 +153,8 @@ jobs:
           source /opt/intel/oneapi/setvars.sh
           export USE_XETLA=OFF
           export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
-          cp python/llm/test/benchmark/arc-perf-test.yaml python/llm/dev/benchmark/all-in-one/config.yaml
+          pip install transformers==4.36.2
+          cp python/llm/test/benchmark/arc-perf-transformers-436.yaml python/llm/dev/benchmark/all-in-one/config.yaml
           cd python/llm/dev/benchmark/all-in-one
           mkdir test_batch1
           mkdir test_batch2
@@ -167,15 +168,15 @@ jobs:
           mv *.csv test_batch1
           # batch_size 2
           cd ../../../../../ 
-          cp python/llm/test/benchmark/arc-perf-test-batch2.yaml python/llm/dev/benchmark/all-in-one/config.yaml
+          cp python/llm/test/benchmark/arc-perf-transformers-436-batch2.yaml python/llm/dev/benchmark/all-in-one/config.yaml
           cd python/llm/dev/benchmark/all-in-one
           # change csv name
           sed -i 's/batch1/batch2/g' run.py
           python run.py
           mv *.csv test_batch2
           # batch_size 4
           cd ../../../../../ 
-          cp python/llm/test/benchmark/arc-perf-test-batch4.yaml python/llm/dev/benchmark/all-in-one/config.yaml
+          cp python/llm/test/benchmark/arc-perf-transformers-436-batch4.yaml python/llm/dev/benchmark/all-in-one/config.yaml
           cd python/llm/dev/benchmark/all-in-one
           # change csv name
           sed -i 's/batch2/batch4/g' run.py
@@ -384,7 +385,7 @@ jobs:
           python -m pip install --upgrade einops
           python -m pip install --upgrade tiktoken
           python -m pip install --upgrade transformers_stream_generator
-
+          python -m pip install transformers==4.37.0
       # specific for test on certain commits
       - name: Download llm binary
         if: ${{ github.event_name == 'workflow_dispatch' && (inputs.checkout-ref != 'main') }}
@@ -491,7 +492,7 @@ jobs:
         run: |
           date_for_test_version=$(date -d yesterday +%Y-%m-%d)
           sed -i "s/date.today()/\"$date_for_test_version\"/g" python/llm/dev/benchmark/all-in-one/run.py
-
+          pip install transformers==4.37.0
           mv python/llm/test/benchmark/core-perf-test.yaml python/llm/dev/benchmark/all-in-one/config.yaml
           cd python/llm/dev/benchmark/all-in-one
           export http_proxy=${HTTP_PROXY}
@@ -1346,4 +1347,4 @@ jobs:
       #   shell: cmd
       #   run: |
       #     call conda env remove -n igpu-perf -y
-
+
diff --git a/python/llm/test/benchmark/arc-perf-test-batch2.yaml b/python/llm/test/benchmark/arc-perf-test-batch2.yaml
diff --git a/python/llm/test/benchmark/arc-perf-test-batch4.yaml b/python/llm/test/benchmark/arc-perf-test-batch4.yaml
diff --git a/python/llm/test/benchmark/arc-perf-test.yaml b/python/llm/test/benchmark/arc-perf-test.yaml
diff --git a/python/llm/test/benchmark/arc-perf-transformers-436-batch2.yaml b/python/llm/test/benchmark/arc-perf-transformers-436-batch2.yaml
@@ -0,0 +1,16 @@
+repo_id:
+  - 'Qwen/Qwen-VL-Chat'
+local_model_hub: '/mnt/disk1/models'
+warm_up: 1
+num_trials: 3
+num_beams: 1 # default to greedy search
+low_bit: 'sym_int4' # default to use 'sym_int4' (i.e. symmetric int4)
+batch_size: 2 # default to 1
+in_out_pairs:
+  - '32-32'
+  - '1024-128'
+  - '2048-256'
+test_api:
+  - "transformer_int4_fp16_gpu"  # on Intel GPU
+cpu_embedding: False # whether put embedding to CPU (only avaiable now for gpu win related test_api)
+task: 'continuation' # task can be 'continuation', 'QA' and 'summarize'
diff --git a/python/llm/test/benchmark/arc-perf-transformers-436-batch4.yaml b/python/llm/test/benchmark/arc-perf-transformers-436-batch4.yaml
@@ -0,0 +1,18 @@
+repo_id:
+  - 'Qwen/Qwen-VL-Chat'
+local_model_hub: '/mnt/disk1/models'
+warm_up: 1
+num_trials: 3
+num_beams: 1 # default to greedy search
+low_bit: 'sym_int4' # default to use 'sym_int4' (i.e. symmetric int4)
+batch_size: 4 # default to 1
+in_out_pairs:
+  - '32-32'
+  - '1024-128'
+  - '2048-256'
+test_api:
+  - "transformer_int4_fp16_gpu"  # on Intel GPU
+cpu_embedding: False # whether put embedding to CPU (only avaiable now for gpu win related test_api)
+exclude:
+  - 'Qwen/Qwen-VL-Chat:2048'
+task: 'continuation' # task can be 'continuation', 'QA' and 'summarize'
diff --git a/python/llm/test/benchmark/arc-perf-transformers-436.yaml b/python/llm/test/benchmark/arc-perf-transformers-436.yaml
@@ -0,0 +1,16 @@
+repo_id:
+  - 'Qwen/Qwen-VL-Chat'
+local_model_hub: '/mnt/disk1/models'
+warm_up: 1
+num_trials: 3
+num_beams: 1 # default to greedy search
+low_bit: 'sym_int4' # default to use 'sym_int4' (i.e. symmetric int4)
+batch_size: 1 # default to 1
+in_out_pairs:
+  - '32-32'
+  - '1024-128'
+  - '2048-256'
+test_api:
+  - "transformer_int4_fp16_gpu"  # on Intel GPU
+cpu_embedding: False # whether put embedding to CPU (only avaiable now for gpu win related test_api)
+task: 'continuation' # task can be 'continuation', 'QA' and 'summarize'
diff --git a/python/llm/test/benchmark/arc-perf-transformers-437-batch2.yaml b/python/llm/test/benchmark/arc-perf-transformers-437-batch2.yaml
@@ -6,6 +6,19 @@ repo_id:
   - 'microsoft/phi-3-vision-128k-instruct'
   - 'Qwen/Qwen2-7B-Instruct'
   - 'microsoft/Phi-3-mini-128k-instruct'
+  # following models were just immigrated from transformer 4.36
+  - 'meta-llama/Llama-2-7b-chat-hf'
+  - 'meta-llama/Llama-2-13b-chat-hf'
+  - 'THUDM/chatglm3-6b-4bit'
+  - 'baichuan-inc/Baichuan2-7B-Chat'
+  - 'baichuan-inc/Baichuan2-13B-Chat-4bit'
+  - 'THUDM/glm-4-9b-chat'
+  - 'openbmb/MiniCPM-2B-sft-bf16'
+  #- 'SmerkyG/rwkv-5-world-7b' #this model only fp32 is supported for now, fp16 and bf16 are not supported
+  - '01-ai/Yi-6B-Chat'
+  - 'mistralai/Mistral-7B-Instruct-v0.2'
+  - 'deepseek-ai/deepseek-coder-7b-instruct-v1.5'
+  - '01-ai/Yi-1.5-6B-Chat'
 local_model_hub: '/mnt/disk1/models'
 warm_up: 1
 num_trials: 3
@@ -19,4 +32,6 @@ in_out_pairs:
 test_api:
   - "transformer_int4_fp16_gpu"  # on Intel GPU
 cpu_embedding: False # whether put embedding to CPU (only avaiable now for gpu win related test_api)
+exclude:
+  - 'baichuan-inc/Baichuan2-13B-Chat-4bit:2048'
 task: 'continuation' # task can be 'continuation', 'QA' and 'summarize'
diff --git a/python/llm/test/benchmark/arc-perf-transformers-437-batch4.yaml b/python/llm/test/benchmark/arc-perf-transformers-437-batch4.yaml
@@ -6,6 +6,19 @@ repo_id:
   - 'microsoft/phi-3-vision-128k-instruct'
   - 'Qwen/Qwen2-7B-Instruct'
   - 'microsoft/Phi-3-mini-128k-instruct'
+  # following models were just immigrated from transformer 4.36
+  - 'meta-llama/Llama-2-7b-chat-hf'
+  - 'meta-llama/Llama-2-13b-chat-hf'
+  - 'THUDM/chatglm3-6b-4bit'
+  - 'baichuan-inc/Baichuan2-7B-Chat'
+  - 'baichuan-inc/Baichuan2-13B-Chat-4bit'
+  - 'THUDM/glm-4-9b-chat'
+  - 'openbmb/MiniCPM-2B-sft-bf16'
+  #- 'SmerkyG/rwkv-5-world-7b' #this model only fp32 is supported for now, fp16 and bf16 are not supported
+  - '01-ai/Yi-6B-Chat'
+  - 'mistralai/Mistral-7B-Instruct-v0.2'
+  - 'deepseek-ai/deepseek-coder-7b-instruct-v1.5'
+  - '01-ai/Yi-1.5-6B-Chat'
 local_model_hub: '/mnt/disk1/models'
 warm_up: 1
 num_trials: 3
@@ -22,4 +35,8 @@ cpu_embedding: False # whether put embedding to CPU (only avaiable now for gpu w
 exclude:
   - 'Qwen/Qwen1.5-7B-Chat:2048'
   - 'meta-llama/Meta-Llama-3-8B-Instruct:2048'
-task: 'continuation' # task can be 'continuation', 'QA' and 'summarize'
+  - 'meta-llama/Llama-2-13b-chat-hf:2048'
+  - 'baichuan-inc/Baichuan2-7B-Chat:2048'
+  - 'baichuan-inc/Baichuan2-13B-Chat-4bit:1024'
+  - 'baichuan-inc/Baichuan2-13B-Chat-4bit:2048'
+task: 'continuation' # task can be 'continuation', 'QA' and 'summarize'
diff --git a/python/llm/test/benchmark/arc-perf-transformers-437.yaml b/python/llm/test/benchmark/arc-perf-transformers-437.yaml
@@ -6,6 +6,19 @@ repo_id:
   - 'microsoft/phi-3-vision-128k-instruct'
   - 'Qwen/Qwen2-7B-Instruct'
   - 'microsoft/Phi-3-mini-128k-instruct'
+  # following models were just immigrated from transformer 4.36
+  - 'meta-llama/Llama-2-7b-chat-hf'
+  - 'meta-llama/Llama-2-13b-chat-hf'
+  - 'THUDM/chatglm3-6b-4bit'
+  - 'baichuan-inc/Baichuan2-7B-Chat'
+  - 'baichuan-inc/Baichuan2-13B-Chat-4bit'
+  - 'THUDM/glm-4-9b-chat'
+  - 'openbmb/MiniCPM-2B-sft-bf16'
+  #- 'SmerkyG/rwkv-5-world-7b' #this model only fp32 is supported for now, fp16 and bf16 are not supported
+  - '01-ai/Yi-6B-Chat'
+  - 'mistralai/Mistral-7B-Instruct-v0.2'
+  - 'deepseek-ai/deepseek-coder-7b-instruct-v1.5'
+  - '01-ai/Yi-1.5-6B-Chat'
 local_model_hub: '/mnt/disk1/models'
 warm_up: 1
 num_trials: 3
@@ -19,4 +32,6 @@ in_out_pairs:
 test_api:
   - "transformer_int4_fp16_gpu"  # on Intel GPU
 cpu_embedding: False # whether put embedding to CPU (only avaiable now for gpu win related test_api)
+exclude:
+  - 'baichuan-inc/Baichuan2-13B-Chat-4bit:2048'
 task: 'continuation' # task can be 'continuation', 'QA' and 'summarize'