add README.md (#9004)

docker/llm/inference/xpu/docker/README.md

@@ -0,0 +1,45 @@
+## Build/Use BigDL-LLM xpu image
+
+### Build Image
+```bash
+docker build \
+  --build-arg http_proxy=.. \
+  --build-arg https_proxy=.. \
+  --build-arg no_proxy=.. \
+  --rm --no-cache -t intelanalytics/bigdl-llm-xpu:2.4.0-SNAPSHOT .
+```
+
+
+### Use the image for doing xpu inference
+
+To map the `xpu` into the cotainer, you need to specify `--device=/dev/dri` when booting the container.
+
+An example could be:
+```bash
+#/bin/bash
+export DOCKER_IMAGE=intelanalytics/bigdl-llm-xpu:2.4.0-SNAPSHOT
+
+sudo docker run -itd \
+        --net=host \
+        --device=/dev/dri \
+        --memory="32G" \
+        --name=CONTAINER_NAME \
+        --shm-size="16g" \
+        $DOCKER_IMAGE
+```
+
+
+After the container is booted, you could get into the container through `docker exec`.
+
+To verify the device is successfully mapped into the container, run `sycl-ls` to check the result. In a machine with Arc A770, the sampled output is:
+
+```bash
+root@arda-arc12:/# sycl-ls
+[opencl:acc:0] Intel(R) FPGA Emulation Platform for OpenCL(TM), Intel(R) FPGA Emulation Device 1.2 [2023.16.7.0.21_160000]
+[opencl:cpu:1] Intel(R) OpenCL, 13th Gen Intel(R) Core(TM) i9-13900K 3.0 [2023.16.7.0.21_160000]
+[opencl:gpu:2] Intel(R) OpenCL Graphics, Intel(R) Arc(TM) A770 Graphics 3.0 [23.17.26241.33]
+[ext_oneapi_level_zero:gpu:0] Intel(R) Level-Zero, Intel(R) Arc(TM) A770 Graphics 1.3 [1.3.26241]
+```
+
+
+To run inference using `BigDL-LLM` using xpu, you could refer to this [documentation](https://github.com/intel-analytics/BigDL/tree/main/python/llm/example/gpu).