# CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation
libcudnn8=8.9.6.50-1+cuda12.2
libcudnn8-dev=8.9.6.50-1+cuda12.2

# This can be removed once NVIDIA publishes a cuda-12.3.2 Docker image.
# For now it ensures that we install at least version 12.3.107 of PTXAS,
# since 12.3.103 has a bug.

TFCI_DOCKER_REBUILD_UPLOAD_ENABLE=
TFCI_GIT_DIR=
TFCI_INDEX_HTML_ENABLE=
TFCI_LIB_SUFFIX=
TFCI_MACOS_BAZEL_TEST_DIR_ENABLE=
TFCI_MACOS_BAZEL_TEST_DIR_PATH=
TFCI_MACOS_CROSS_COMPILE_ENABLE=
TFCI_MACOS_CROSS_COMPILE_SDK_DEST=
TFCI_MACOS_CROSS_COMPILE_SDK_SOURCE=
TFCI_MACOS_INSTALL_BAZELISK_ENABLE=
TFCI_MACOS_INSTALL_BAZELISK_URL=
TFCI_MACOS_PYENV_INSTALL_ENABLE=
TFCI_MACOS_TWINE_INSTALL_ENABLE=
TFCI_MACOS_UPGRADE_PYENV_ENABLE=

def create_android_sdk_rule(environ_cp):
  """Set Android variables and write Android SDK WORKSPACE rule."""
  if is_windows() or is_cygwin():
    default_sdk_path = cygpath('%s/Android/Sdk' % environ_cp['APPDATA'])
  elif is_macos():
    default_sdk_path = '%s/library/Android/Sdk' % environ_cp['HOME']
  else:
    default_sdk_path = '%s/Android/Sdk' % environ_cp['HOME']

  def valid_sdk_path(path):

RUN New-Item -ItemType Directory -Path C:\Android\android-sdk\licenses; \
    Set-Content -Path .\Android\android-sdk\licenses\android-sdk-license -Value "`n24333f8a63b6825ea9c5514f83c2829b004d1fee" -NoNewLine;

# Add sdkmanager to PATH
RUN $old_path = [Environment]::GetEnvironmentVariable(\"PATH\", \"Machine\"); \
    [Environment]::SetEnvironmentVariable(\"PATH\", $old_path + \";C:\Android\android-sdk\tools\bin\", \"Machine\");

TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=cross_compile_macos_x86
TFCI_MACOS_CROSS_COMPILE_ENABLE=1
TFCI_MACOS_CROSS_COMPILE_SDK_DEST="tensorflow/tools/toolchains/cross_compile/cc/MacOSX.sdk"
TFCI_MACOS_CROSS_COMPILE_SDK_SOURCE="/Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX.sdk"

  mkdir -p "${TFCI_MACOS_CROSS_COMPILE_SDK_DEST}/usr"
  mkdir -p "${TFCI_MACOS_CROSS_COMPILE_SDK_DEST}/System/Library/Frameworks/"
  cp -r "${TFCI_MACOS_CROSS_COMPILE_SDK_SOURCE}/usr/include" "${TFCI_MACOS_CROSS_COMPILE_SDK_DEST}/usr/include"
  cp -r "${TFCI_MACOS_CROSS_COMPILE_SDK_SOURCE}/usr/lib" "${TFCI_MACOS_CROSS_COMPILE_SDK_DEST}/usr/lib"

labels: 'comp:lite-in-play-services'

---

**System information**
- Android Device information (use `adb shell getprop ro.build.fingerprint`
  if possible):
- TensorFlow Lite in Play Services SDK version (found in `build.gradle`):
- Google Play Services version
  (`Settings` > `Apps` > `Google Play Services` > `App details`):

**Standalone code to reproduce the issue**

build:dbg --per_file_copt=+tensorflow/core/kernels.*@-g0
# for now, disable arm_neon. see: https://github.com/tensorflow/tensorflow/issues/33360
build:dbg --cxxopt -DTF_LITE_DISABLE_X86_NEON
# AWS SDK must be compiled in release mode. see: https://github.com/tensorflow/tensorflow/issues/37498
build:dbg --copt -DDEBUG_BUILD

# Config to build TF TPU
build:tpu --define=with_tpu_support=true

config_setting(
    name = "fuchsia",
    constraint_values = if_google(
        ["//third_party/bazel_platforms/os:fuchsia"],
        [],
    ),
    values = if_oss(
        # TODO(b/149248802) When we have a Fuchsia Bazel SDK update to use the values it sets.
        {"cpu": "fuchsia"},
        {},
    ),
    visibility = ["//visibility:public"],
)

config_setting(
    name = "fuchsia_x86_64",

    *   Update NVIDIA `NCCL` to `2.5.7-1` for better performance and performance
        tuning. Please see
        [nccl developer guide](https://docs.nvidia.com/deeplearning/sdk/nccl-developer-guide/docs/env.html)
        for more information on this.
    *   Support gradient `allreduce` in `float16`. See this