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

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

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

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

pkg syscall (windows-386), func WriteFile(Handle, []uint8, *uint32, *Overlapped) error
pkg syscall (windows-386), method (*DLL) FindProc(string) (*Proc, error)
pkg syscall (windows-386), method (*DLL) MustFindProc(string) *Proc
pkg syscall (windows-386), method (*DLL) Release() error
pkg syscall (windows-386), method (*DLLError) Error() string
pkg syscall (windows-386), method (*Filetime) Nanoseconds() int64

        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`

    <glob pattern="*.crd"/>
  </mime-type>
  <mime-type type="application/x-msclip">
    <glob pattern="*.clp"/>
  </mime-type>

  <mime-type type="application/x-msdownload">
    <glob pattern="*.dll"/>
    <glob pattern="*.com"/>
    <magic priority="50">
      <match value="MZ" type="string" offset="0"/>
    </magic>
  </mime-type>

  <mime-type type="application/x-ms-installer">