Win10系统编译Tensorflow Lite 2.3为动态链接库tensorflowlite_c.dll

pacman -S git patch unzip

E:\>python --version
Python 3.6.3 :: Anaconda 4.4.0 (64-bit)

 E:\>cd tensorflow-2.3.1
 E:\tensorflow-2.3.1>cat configure.py | grep -i bazel_ve
_TF_CURRENT_BAZEL_VERSION = None
_TF_MIN_BAZEL_VERSION = '3.1.0'
_TF_MAX_BAZEL_VERSION = '3.99.0'

def check_bazel_version(min_version, max_version):
      'TF_IGNORE_MAX_BAZEL_VERSION' not in os.environ):
  global _TF_CURRENT_BAZEL_VERSION
    current_bazel_version = check_bazel_version(_TF_MIN_BAZEL_VERSION,
                                                _TF_MAX_BAZEL_VERSION)
  _TF_CURRENT_BAZEL_VERSION = convert_version_to_int(current_bazel_version)

E:\tensorflow-2.3.1>bazel --version
bazel 3.1.0

E:\tensorflow-2.3.1>python configure.py
You have bazel 3.1.0 installed.
Please specify the location of python. [Default is E:\Anaconda3\python.exe]:


Found possible Python library paths:
  E:\Anaconda3\lib\site-packages
Please input the desired Python library path to use.  Default is [E:\Anaconda3\lib\site-packages]

Do you wish to build TensorFlow with ROCm support? [y/N]: n
No ROCm support will be enabled for TensorFlow.

Do you wish to build TensorFlow with CUDA support? [y/N]: n
No CUDA support will be enabled for TensorFlow.

Please specify optimization flags to use during compilation when bazel option "--config=opt" is specified [Default is /arch:AVX]:


Would you like to override eigen strong inline for some C++ compilation to reduce the compilation time? [Y/n]: n
Not overriding eigen strong inline, some compilations could take more than 20 mins.

Would you like to interactively configure ./WORKSPACE for Android builds? [y/N]: n
Not configuring the WORKSPACE for Android builds.

Preconfigured Bazel build configs. You can use any of the below by adding "--config=<>" to your build command. See .bazelrc for more details.
        --config=mkl            # Build with MKL support.
        --config=monolithic     # Config for mostly static monolithic build.
        --config=ngraph         # Build with Intel nGraph support.
        --config=numa           # Build with NUMA support.
        --config=dynamic_kernels        # (Experimental) Build kernels into separate shared objects.
        --config=v2             # Build TensorFlow 2.x instead of 1.x.
Preconfigured Bazel build configs to DISABLE default on features:
        --config=noaws          # Disable AWS S3 filesystem support.
        --config=nogcp          # Disable GCP support.
        --config=nohdfs         # Disable HDFS support.
        --config=nonccl         # Disable NVIDIA NCCL support.

bazel build -c opt --config=mkl  //tensorflow/lite/c:tensorflowlite_c.dll

····
INFO: From Linking tensorflow/lite/c/tensorflowlite_c.dll:
LINK : warning LNK4044: 无法识别的选项“/s”；已忽略
  正在创建库 bazel-out/x64_windows-opt/bin/tensorflow/lite/c/tensorflowlite_c.dll.if.lib 和对象
bazel-out/x64_windows-opt/bin/tensorflow/lite/c/tensorflowlite_c.dll.if.exp
Target //tensorflow/lite/c:tensorflowlite_c.dll up-to-date:
  bazel-bin/tensorflow/lite/c/tensorflowlite_c.dll
INFO: Elapsed time: 291.250s, Critical Path: 60.46s
INFO: 305 processes: 305 local.
INFO: Build completed successfully, 444 total actions