Update tensorflow-serving docker (#2509)

docker/tensorflow-serving/README.md

@@ -10,14 +10,16 @@ To build the docker container, enter into [docker/tensorflow-serving](./) folder
 
 ### I. Binaries Preparation
 
-Refer to [Install for Tensorflow Serving](../../docs/guide/tensorflow_serving.md) to build the TensorFlow Serving binary, and refer to [Install for CPP](../../docs/install/install_for_cpp.md) to build the Intel® Extension for TensorFlow* CC library from source. Then package and copy these binaries into the `./models/binaries` directory, as shown below.
+Refer to [Install for Tensorflow Serving](../../docs/guide/tf_serving_install.md) to build the TensorFlow Serving binary, and refer to [Install for CPP](../../docs/install/install_for_cpp.md) to build the Intel® Extension for TensorFlow* CC library from source. Then package and copy these binaries into the `./models/binaries` directory, as shown below.
 
 ```bash
 mkdir -p ./models/binaries
 
 # Package and copy Intel® Extension for TensorFlow* CC library
 mkdir -p itex-bazel-bin/
 cp -r <path_to_itex>/bazel-out/k8-opt-ST-*/bin/ itex-bazel-bin/
+# if you build with threadpool
+cp -r <path_to_itex>/bazel-out/k8-opt-ST-*/bin/ itex-bazel-bin/bin_threadpool/
 tar cvfh itex-bazel-bin.tar itex-bazel-bin/
 cp itex-bazel-bin.tar  ./models/binaries/
 
@@ -61,3 +63,4 @@ docker run -v <your-local-dir>:/workspace \
            -it \
            $IMAGE_NAME
 ```
+NOTE: If you want to run docker with threadpool, you should add `-e ITEX_OMP_THREADPOOL=0`

docker/tensorflow-serving/build.sh

@@ -22,12 +22,12 @@ IMAGE_NAME=intel-extension-for-tensorflow:serving-$IMAGE_TYPE
 if [ $IMAGE_TYPE == "gpu" ]
 then
         docker build --no-cache --build-arg UBUNTU_VERSION=22.04 \
-                                --build-arg ICD_VER=23.17.26241.33-647~22.04 \
-                                --build-arg LEVEL_ZERO_GPU_VER=1.3.26241.33-647~22.04 \
-                                --build-arg LEVEL_ZERO_VER=1.11.0-647~22.04 \
-                                --build-arg LEVEL_ZERO_DEV_VER=1.11.0-647~22.04 \
-                                --build-arg DPCPP_VER=2023.2.0-49495 \
-                                --build-arg MKL_VER=2023.2.0-49495 \
+                                --build-arg ICD_VER=23.30.26918.50-736~22.04 \
+                                --build-arg LEVEL_ZERO_GPU_VER=1.3.26918.50-736~22.04 \
+                                --build-arg LEVEL_ZERO_VER=1.13.1-719~22.04 \
+                                --build-arg LEVEL_ZERO_DEV_VER=1.13.1-719~22.04 \
+                                --build-arg DPCPP_VER=2024.0.0-49819 \
+                                --build-arg MKL_VER=2024.0.0-49656 \
                                 --build-arg TF_SERVING_BINARY=tensorflow_model_server \
                                 --build-arg TF_PLUGIN_TAR=itex-bazel-bin.tar \
                                 -t $IMAGE_NAME \

docker/tensorflow-serving/itex-serving-cpu.Dockerfile

@@ -57,10 +57,16 @@ RUN mkdir -p ${MODEL_BASE_PATH}
 ENV MODEL_NAME=my_model
 RUN mkdir -p ${MODEL_BASE_PATH}/${MODEL_NAME}
 
+ENV ITEX_OMP_THREADPOOL=1
 RUN echo '#!/bin/bash \n\n\
+if [ ${ITEX_OMP_THREADPOOL} == 1 ]; then \n\
+    DIR=/itex/itex-bazel-bin/bin/itex \n\
+else \n\
+    DIR=/itex/itex-bazel-bin/bin_threadpool/itex \n\
+fi \n\
 /usr/local/bin/tensorflow_model_server --port=8500 --rest_api_port=8501 \
 --model_name=${MODEL_NAME} --model_base_path=${MODEL_BASE_PATH}/${MODEL_NAME} \
---tensorflow_plugins=/itex/itex-bazel-bin/bin/itex \
+--tensorflow_plugins=${DIR} \
 "$@"' > /usr/bin/tf_serving_entrypoint.sh \
 && chmod +x /usr/bin/tf_serving_entrypoint.sh
 

docker/tensorflow-serving/itex-serving-gpu.Dockerfile

@@ -37,9 +37,9 @@ RUN apt-get update && \
     apt-get clean && \
     rm -rf  /var/lib/apt/lists/*
 
-RUN wget -qO - https://repositories.intel.com/graphics/intel-graphics.key | \
+RUN wget -qO - https://repositories.intel.com/gpu/intel-graphics.key | \
     gpg --dearmor --output /usr/share/keyrings/intel-graphics.gpg
-RUN echo "deb [arch=amd64 signed-by=/usr/share/keyrings/intel-graphics.gpg] https://repositories.intel.com/graphics/ubuntu jammy max" | \
+RUN echo "deb [arch=amd64 signed-by=/usr/share/keyrings/intel-graphics.gpg] https://repositories.intel.com/gpu/ubuntu jammy unified" | \
     tee /etc/apt/sources.list.d/intel-gpu-jammy.list
 
 ARG ICD_VER

docs/guide/tf_serving_install.md

@@ -42,7 +42,7 @@ The generated `libitex_cpu_cc.so` or `libitex_gpu_cc.so` binary are found in the
     git clone https://github.com/tensorflow/tensorflow
 
     # checkout specific commit id
-    cd tensorflow   
+    cd tensorflow
     git checkout xxxxx
     ```
   - Add `alwayslink=1` for `kernels_experimental` library in local `tensorflow/tensorflow/c/BUILD` file:
@@ -72,15 +72,8 @@ The generated `libitex_cpu_cc.so` or `libitex_gpu_cc.so` binary are found in the
   - Patch TensorFlow Serving
     ```
     cd serving
-    patch -p1 -i ../intel-extension-for-tensorflow/third_party/tf_serving/serving_plugin.patch
-    ```
-  - Update `serving/WORKSPACE` to use local TensorFlow  
-    Replace L24-L29 with below code to use local TensorFlow: https://github.com/tensorflow/serving/blob/master/WORKSPACE#L24   
-    ```
-    local_repository(
-        name= "org_tensorflow",
-        path = "path to local tensorflow source code",
-    )
+    git checkout r2.14
+    git apply ../intel-extension-for-tensorflow/third_party/tf_serving/serving_plugin.patch
     ```
 
 - Build TensorFlow Serving

docs/install/install_for_cpp.md

@@ -181,6 +181,12 @@ For CPU support
 $ bazel build -c opt --config=cpu //itex:libitex_cpu_cc.so
 ```
 
+If you want to build with threadpool, you should add buid options `--define=build_with_threadpool=true` and environment variables `ITEX_OMP_THREADPOOL=0`
+
+```bash
+$ bazel build -c opt --config=cpu --define=build_with_threadpool=true //itex:libitex_cpu_cc.so
+```
+
 CC library location: `<Path to intel-extension-for-tensorflow>/bazel-bin/itex/libitex_cpu_cc.so`
 
 NOTE: `libitex_cpu_cc.so` is depended on `libiomp5.so`, so `libiomp5.so` shoule be copied to the same diretcory of `libitex_cpu_cc.so`

docs/install/install_for_xpu.md

@@ -52,11 +52,11 @@ To use Intel® Optimization for Horovod* with the Intel® oneAPI Collective Comm
 ```
 $ docker pull intel/intel-extension-for-tensorflow:xpu
 $ docker run -it -p 8888:8888 --device /dev/dri -v /dev/dri/by-path:/dev/dri/by-path --ipc=host intel/intel-extension-for-tensorflow:xpu
-$ export LD_LIBRARY_PATH=/opt/intel/oneapi/lib:/opt/intel/oneapi/lib/intel64:/opt/intel/oneapi/lib/intel64/libfabric:$LD_LIBRARY_PATH
-$ export PATH=/opt/intel/oneapi/lib/intel64/bin:$PATH
-$ export I_MPI_ROOT=/opt/intel/oneapi/lib/intel64/
-$ export CCL_ROOT=/opt/intel/oneapi/lib/intel64/
-$ export FI_PROVIDER_PATH=/opt/intel/oneapi/lib/intel64/libfabric/
+$ export LD_LIBRARY_PATH=/opt/intel/oneapi/redist/opt/mpi/libfabric/lib:$LD_LIBRARY_PATH
+$ export PATH=/opt/intel/oneapi/redist/bin:$PATH
+$ export I_MPI_ROOT=/opt/intel/oneapi/redist/lib
+$ export CCL_ROOT=/opt/intel/oneapi/redist
+$ export FI_PROVIDER_PATH=/opt/intel/oneapi/redist/opt/mpi/libfabric/lib/prov
 ```
 
 Then go to your browser on http://localhost:8888/

third_party/tf_serving/serving_plugin.patch

@@ -28,17 +28,19 @@ index 7a017679..270d594e 100644
 +    visibility = ["//visibility:public"],
 +)
 diff --git a/tensorflow_serving/model_servers/BUILD b/tensorflow_serving/model_servers/BUILD
-index 2809e2af..3045c42f 100644
+index 616d887a..0387aaee 100644
 --- a/tensorflow_serving/model_servers/BUILD
 +++ b/tensorflow_serving/model_servers/BUILD
-@@ -1,5 +1,6 @@
- # Description: Model Server
+@@ -2,6 +2,8 @@
 
+ # Placeholder: load py_test
+ # Placeholder: load py_binary
++
 +load("//tensorflow_serving:serving.bzl", "if_with_plugins_support")
  load("//tensorflow_serving:tensorflow_version.bzl", "if_not_v2", "if_v2")
  load("@rules_pkg//:pkg.bzl", "pkg_deb", "pkg_tar")
  load("@org_tensorflow//tensorflow:tensorflow.bzl", "if_google", "if_libtpu", "if_with_tpu_support")
-@@ -417,7 +418,11 @@ cc_library(
+@@ -421,7 +423,11 @@ cc_library(
          "@org_tensorflow//tensorflow/core:protos_all_cc",
          "@org_tensorflow//tensorflow/core:tensorflow",
          "@org_tensorflow//tensorflow/core/profiler/rpc:profiler_service_impl",
@@ -51,15 +53,15 @@ index 2809e2af..3045c42f 100644
  )
 
  cc_library(
-@@ -435,7 +440,6 @@ cc_library(
+@@ -439,7 +445,6 @@ cc_library(
      ],
      deps = [
          ":server_lib",
 -        "@org_tensorflow//tensorflow/c:c_api",
          "@org_tensorflow//tensorflow/compiler/jit:xla_cpu_jit",
          "@org_tensorflow//tensorflow/core:lib",
          "@org_tensorflow//tensorflow/core/platform/cloud:gcs_file_system",
-@@ -452,6 +456,14 @@ cc_library(
+@@ -456,6 +461,14 @@ cc_library(
 
  cc_binary(
      name = "tensorflow_model_server",
@@ -151,6 +153,66 @@ index 03467d6a..26dfdb99 100644
 
      Options();
    };
+diff --git a/tensorflow_serving/model_servers/test_util/BUILD b/tensorflow_serving/model_servers/test_util/BUILD
+index dcc97948..95d2ac7f 100644
+--- a/tensorflow_serving/model_servers/test_util/BUILD
++++ b/tensorflow_serving/model_servers/test_util/BUILD
+@@ -31,6 +31,7 @@ cc_library(
+         "//visibility:public",
+     ],
+     deps = [
++        "//tensorflow_serving/apis:logging_cc_proto",
+         "//tensorflow_serving/apis:model_cc_proto",
+         "//tensorflow_serving/config:model_server_config_cc_proto",
+         "//tensorflow_serving/config:platform_config_cc_proto",
+diff --git a/tensorflow_serving/model_servers/test_util/mock_server_core.h b/tensorflow_serving/model_servers/test_util/mock_server_core.h
+index ecde432a..64675eee 100644
+--- a/tensorflow_serving/model_servers/test_util/mock_server_core.h
++++ b/tensorflow_serving/model_servers/test_util/mock_server_core.h
+@@ -19,6 +19,7 @@ limitations under the License.
+
+ #include <memory>
+ #include <string>
++#include <utility>
+
+ #include "base/logging.h"
+ #include "google/protobuf/any.pb.h"
+@@ -56,7 +57,9 @@ class MockServerCore : public ServerCore {
+     return platform_config_map;
+   }
+
+-  static Options GetOptions(const PlatformConfigMap& platform_config_map) {
++  static Options GetOptions(
++      const PlatformConfigMap& platform_config_map,
++      std::unique_ptr<ServerRequestLogger> server_request_logger) {
+     Options options;
+     options.platform_config_map = platform_config_map;
+     options.servable_state_monitor_creator =
+@@ -71,13 +74,21 @@ class MockServerCore : public ServerCore {
+            UniquePtrWithDeps<AspiredVersionsManager>* manager) -> Status {
+       return Status();
+     };
+-    TF_CHECK_OK(
+-        ServerRequestLogger::Create(nullptr, &options.server_request_logger));
++    if (server_request_logger != nullptr) {
++      options.server_request_logger = std::move(server_request_logger);
++    } else {
++      TF_CHECK_OK(
++          ServerRequestLogger::Create(nullptr, &options.server_request_logger));
++    }
+     return options;
+   }
+
+   explicit MockServerCore(const PlatformConfigMap& platform_config_map)
+-      : ServerCore(GetOptions(platform_config_map)) {}
++      : MockServerCore(platform_config_map, nullptr) {}
++  MockServerCore(const PlatformConfigMap& platform_config_map,
++                 std::unique_ptr<ServerRequestLogger> server_request_logger)
++      : ServerCore(GetOptions(platform_config_map,
++                              std::move(server_request_logger))) {}
+
+   MOCK_METHOD(ServableStateMonitor*, servable_state_monitor, (),
+               (const, override));
 diff --git a/tensorflow_serving/model_servers/tf_c_api_exported_symbols.lds b/tensorflow_serving/model_servers/tf_c_api_exported_symbols.lds
 new file mode 100644
 index 00000000..b5e82a09