Add SYCL_CACHE_PERSISTENT in doc and explain warmup in benchmark quic…

…kstart (#10571)

* update doc

* update

docs/readthedocs/source/doc/LLM/Overview/install_gpu.md

@@ -499,6 +499,7 @@ To use GPU acceleration on Linux, several environment variables are required or
          # Recommended Environment Variables for optimal performance
          export USE_XETLA=OFF
          export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
+         export SYCL_CACHE_PERSISTENT=1
 
    .. tab:: Intel Data Center GPU Max
 
@@ -513,6 +514,7 @@ To use GPU acceleration on Linux, several environment variables are required or
          # Recommended Environment Variables for optimal performance
          export LD_PRELOAD=${LD_PRELOAD}:${CONDA_PREFIX}/lib/libtcmalloc.so
          export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
+         export SYCL_CACHE_PERSISTENT=1
          export ENABLE_SDP_FUSION=1
 
       Please note that ``libtcmalloc.so`` can be installed by ``conda install -c conda-forge -y gperftools=2.10``

docs/readthedocs/source/doc/LLM/Quickstart/benchmark_quickstart.md

@@ -21,7 +21,7 @@ git clone https://github.com/intel-analytics/ipex-llm.git
 cd ipex-llm/python/llm/dev/benchmark/all-in-one/
 ```
 
-## Configure YAML File
+## config.yaml
 
 ```yaml
 repo_id:
@@ -44,6 +44,8 @@ Some parameters in the yaml file that you can configure:
 
 - repo_id: The name of the model and its organization.
 - local_model_hub: The folder path where the models are stored on your machine.
+- warm_up: The number of runs as warmup trials, executed before performance benchmarking.
+- num_trials: The number of runs for performance benchmarking. The final benchmark result would be the average of all the trials.
 - low_bit: The low_bit precision you want to convert to for benchmarking.
 - batch_size: The number of samples on which the models makes predictions in one forward pass.
 - in_out_pairs: Input sequence length and output sequence length combined by '-'.
@@ -53,6 +55,8 @@ Some parameters in the yaml file that you can configure:
   - `transformer_int4` on Intel CPU
 - cpu_embedding: Whether to put embedding on CPU (only avaiable now for windows gpu related test_api).
 
+Remark: If you want to benchmark the performance without warmup, you can set `warm_up: 0` as well as `num_trials: 1` in `config.yaml`, and run each single model and in_out_pair separately.
+
 ## Run on Windows
 
 Please refer to [here](https://ipex-llm.readthedocs.io/en/latest/doc/LLM/Overview/install_gpu.html#runtime-configuration) to configure oneAPI environment variables.
@@ -144,4 +148,4 @@ Please refer to [here](https://ipex-llm.readthedocs.io/en/latest/doc/LLM/Overvie
 
 ## Result
 
-After the script runnning is completed, you can obtain a CSV result file under the current folder. You can mainly look at the results of columns `1st token avg latency (ms)` and `2+ avg latency (ms/token)` for  performance results. You can also check whether the column `actual input/output tokens` is consistent with the column `input/output tokens` and whether the parameters you specified in config.yaml have been successfully applied in the benchmarking.
+After the benchmarking completes, you can obtain a CSV result file under the current folder. You can mainly look at the results of columns `1st token avg latency (ms)` and `2+ avg latency (ms/token)` for the benchmark results. You can also check whether the column `actual input/output tokens` is consistent with the column `input/output tokens` and whether the parameters you specified in `config.yaml` have been successfully applied in the benchmarking.

docs/readthedocs/source/doc/LLM/Quickstart/install_linux_gpu.md

@@ -128,6 +128,7 @@ To use GPU acceleration on Linux, several environment variables are required or
          # Recommended Environment Variables for optimal performance
          export USE_XETLA=OFF
          export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
+         SYCL_CACHE_PERSISTENT=1
 
    .. tab:: Intel Data Center GPU Max
 
@@ -142,6 +143,7 @@ To use GPU acceleration on Linux, several environment variables are required or
          # Recommended Environment Variables for optimal performance
          export LD_PRELOAD=${LD_PRELOAD}:${CONDA_PREFIX}/lib/libtcmalloc.so
          export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
+         export SYCL_CACHE_PERSISTENT=1
          export ENABLE_SDP_FUSION=1
 
       Please note that ``libtcmalloc.so`` can be installed by ``conda install -c conda-forge -y gperftools=2.10``