load("//tensorflow/core/platform:rules_cc.bzl", "cc_library")

package(
    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
    licenses = ["notice"],
)

# Currently pybind extension shared objects must use only C API headers since
# the C API has static initializers duplicated in the Python bindings. So we
# need a second rule that omits .cc files, in
# tensorflow/python:_pywrap_parallel_device.
filegroup(

TEST(CAPI, LibraryLoadFunctions) {
  // TODO(b/73318067): Fix linking for the GPU test generated by the
  // tf_cuda_cc_test() bazel rule and remove the next line.
  if (!GPUDeviceName().empty()) return;

#if !defined(TENSORFLOW_NO_SHARED_OBJECTS)
  {
    // Load the library.
    TF_Status* status = TF_NewStatus();
    string lib_path = tensorflow::GetDataDependencyFilepath(
        tensorflow::io::JoinPath("tensorflow", "c", "test_op1.so"));

  ~GraphFunction() override;

  // GraphFunction maybe stay alive for the duration of the returned
  // FunctionDef.
  Status GetFunctionDef(const FunctionDef** fdef) override;

  // Returns a shared reference to the wrapped function.
  absl::StatusOr<core::RefCountPtr<FunctionRecord>> GetFunctionRecord()
      override {
    return func_record_.GetNewRef();
  }

  // For LLVM style RTTI.

    ],
    extra_copts = if_google(["-DTENSORFLOW_NO_SHARED_OBJECTS=1"]),
    linkopts = select({
        "//tensorflow:macos": ["-headerpad_max_install_names"],
        "//conditions:default": [],
    }),
    # We must ensure that the dependencies can be dynamically linked since
    # the shared library must be able to use core:framework.
    deps = [
        ":c_api",

)

# Crosses between framework_shared_object and a bunch of other configurations
# due to limitations in nested select() statements.
config_setting(
    name = "framework_shared_object",
    define_values = {"framework_shared_object": "true"},
    visibility = ["//visibility:public"],
)

config_setting(
    name = "macos_x86_64_with_framework_shared_object",
    define_values = {

        deprecated in favor of `tf.keras.layers.DenseFeatures`. v1 feature
        columns have direct analogues in v2 except for
        `shared_embedding_columns`, which are not cross-compatible with v1 and
        v2. Use `tf.feature_column.shared_embeddings` instead.

*   `tf.keras`:

    *   `OMP_NUM_THREADS` is no longer used by the default Keras config. To

# Disable AWS/HDFS support by default
build --define=no_aws_support=true
build --define=no_hdfs_support=true

# TF now has `cc_shared_library` targets, so it needs the experimental flag
# TODO(rostam): Remove when `cc_shared_library` is enabled by default
build --experimental_cc_shared_library

# cc_shared_library ensures no library is linked statically more than once.
build --experimental_link_static_libraries_once=false

  [[ ! -s $BATS_TEST_TMPDIR/out ]]
}

@test "Pip package doesn't depend on CUDA for static builds (i.e. Windows)" {
  bazel cquery \
    --experimental_cc_shared_library \
    --@local_config_cuda//:enable_cuda \
    --define framework_shared_object=false \
    "somepath(//tensorflow/tools/pip_package:wheel, " \
    "@local_config_cuda//cuda:cudart + "\
    "@local_config_cuda//cuda:cudart + "\

load("//tensorflow:tensorflow.bzl", "tf_cc_shared_object")
load("//tensorflow/core/platform:rules_cc.bzl", "cc_library")

package(
    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
    default_visibility = ["//visibility:private"],
    licenses = ["notice"],
)

# Filesystem implementation for POSIX environments: Linux, MacOS, Android, etc.
tf_cc_shared_object(
    name = "libposix_filesystem.so",

load("//tensorflow:tensorflow.bzl", "get_win_copts", "tf_cc_shared_object", "tf_cc_test")
load("//tensorflow/core/platform:rules_cc.bzl", "cc_library")

package(
    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
    licenses = ["notice"],
)

# Filesystem implementation for GCS environments
tf_cc_shared_object(
    name = "gcs_filesystem",
    framework_so = [],
    linkstatic = False,