mkdir -p ${LIB_PKG}

  # Zip up the .dll, LICENSE and include files for the C library.
  mkdir -p ${LIB_PKG}/include/tensorflow/c
  mkdir -p ${LIB_PKG}/include/tensorflow/c/eager
  mkdir -p ${LIB_PKG}/include/tensorflow/core/platform
  mkdir -p ${LIB_PKG}/include/xla/tsl/c
  mkdir -p ${LIB_PKG}/include/tsl/platform
  mkdir -p ${LIB_PKG}/lib
  cp bazel-bin/tensorflow/tensorflow.dll ${LIB_PKG}/lib/tensorflow.dll

)

# The interface library (tensorflow.dll.if.lib) for linking tensorflow DLL library (tensorflow.dll) on Windows.
# To learn more about import library (called interface library in Bazel):
#     https://docs.microsoft.com/en-us/cpp/build/linking-an-executable-to-a-dll?view=vs-2017#linking-implicitly
filegroup(
    name = "get_tensorflow_dll_import_lib",
    srcs = ["//tensorflow:tensorflow.dll"],
    output_group = "interface_library",

      <outputDirectory>lib/jline-native</outputDirectory>
      <includes>
        <include>**/*.so</include>
        <include>**/*.jnilib</include>
        <include>**/*.dll</include>
      </includes>
    </fileSet>
	<fileSet>
      <directory>src/assembly/maven/bin</directory>
      <outputDirectory>bin</outputDirectory>
      <includes>
        <include>mvn</include>

package lock

import (
	"fmt"
	"os"
	"path/filepath"
	"syscall"
	"unsafe"

	"golang.org/x/sys/windows"
)

var (
	modkernel32    = windows.NewLazySystemDLL("kernel32.dll")
	procLockFileEx = modkernel32.NewProc("LockFileEx")
)

const (
	// https://msdn.microsoft.com/en-us/library/windows/desktop/aa365203(v=vs.85).aspx
	lockFileExclusiveLock   = 2
	lockFileFailImmediately = 1

common:macos --cxxopt=-std=c++17
common:macos --host_cxxopt=-std=c++17
common:windows --cxxopt=/std:c++17
common:windows --host_cxxopt=/std:c++17

# On windows, we still link everything into a single DLL.
common:windows --config=monolithic

# On linux, we dynamically link small amount of kernels
common:linux --config=dynamic_kernels

# Make sure to include as little of windows.h as possible

        flag. Refer to `configure.py` for more information about
        `EIGEN_STRONG_INLINE` and `/d2ReducedOptimizeHugeFunctions`.
    *   If either of the required DLLs, `msvcp140.dll` (old) or `msvcp140_1.dll`
        (new), are missing on your machine, `import tensorflow` will print a
        warning message.
*   The `tensorflow` pip package is built with CUDA 10.1 and cuDNN 7.6.
*   `tf.keras`