# Description:
# TensorFlow is a computational framework, primarily for use in machine
# learning applications.

load("@bazel_skylib//lib:selects.bzl", "selects")
load("@bazel_skylib//rules:common_settings.bzl", "bool_flag", "bool_setting")
load("@local_config_cuda//cuda:build_defs.bzl", "if_cuda")
load(
    "//tensorflow:tensorflow.bzl",
    "VERSION",
    "VERSION_MAJOR",
    "check_deps",
    "if_google",
    "if_oss",

# Description:
# C API for TensorFlow, for use by client language bindings.

load("@bazel_skylib//lib:selects.bzl", "selects")
load("@local_config_tensorrt//:build_defs.bzl", "if_tensorrt")
load("@local_tsl//tsl/platform:rules_cc.bzl", "cc_library")
load(
    "//tensorflow:tensorflow.bzl",
    "check_deps",
    "if_google",
    "if_not_mobile",
    "tf_cc_test",
    "tf_copts",
    "tf_cuda_library",
    "tf_custom_op_library",

# specified".
build:cross_compile_macos_x86 --extra_toolchains=//tensorflow/tools/toolchains/cross_compile/config:macos-x86-cross-compile-cc-toolchain
# Map --platforms=darwin_x86_64 to --cpu=darwin and vice-versa to make selects()
# and transistions that use these flags work.
build:cross_compile_macos_x86 --platform_mappings=tensorflow/tools/toolchains/cross_compile/config/platform_mappings

# RBE cross-compile configs for Darwin x86

        "c_api_experimental.h",
        "c_api_internal.h",
        "c_api_unified_experimental.h",
    ],
    hdrs = ["c_api.h"],
    copts = tf_copts(),
    visibility = ["//visibility:public"],
    deps = select({
        "//tensorflow:android": [
            "//tensorflow/core:portable_tensorflow_lib_lite",
        ],
        "//conditions:default": [
            ":immediate_execution_context",

        Ops.
    *   Correct a misstatement in the documentation of the sparse softmax cross
        entropy logit parameter.
    *   Add `tf.ragged.boolean_mask`.
    *   `tf.switch_case` added, which selects a branch_fn based on a
        branch_index.
    *   The C++ kernel of gather op supports batch dimensions.
    *   Fixed default value and documentation for `trainable` arg of
        tf.Variable.

    hdrs = ["posix_filesystem_helper.h"],
    deps = [":copy_file"],
)

# On Linux, we can copy files faster using `sendfile`. But not elsewhere.
# Hence, this private library to select which implementation to use.
cc_library(
    name = "copy_file",
    srcs = select({
        "//tensorflow:linux_x86_64": ["copy_file_linux.cc"],
        "//conditions:default": ["copy_file_portable.cc"],
    }),
    hdrs = ["copy_file.h"],

    deps = [":gcs_filesystem_impl"],
)

# The real implementation of the filesystem.
cc_library(
    name = "gcs_filesystem_impl",
    srcs = ["gcs_filesystem.cc"],
    hdrs = ["gcs_filesystem.h"],
    copts = select({
        "//conditions:default": [],
        "//tensorflow:windows": get_win_copts(),
    }),
    deps = [
        ":expiring_lru_cache",
        ":gcs_helper",
        ":ram_file_block_cache",

  # Column 1 is left only, Column 2 is right only, Column 3 is shared lines
  # Select lines unique to actual_licenses, i.e. extra licenses.
  comm -1 -3 $BATS_TEST_TMPDIR/expected_licenses $BATS_TEST_TMPDIR/actual_licenses | grep -v -f $BATS_TEST_TMPDIR/allowed_to_be_extra > $BATS_TEST_TMPDIR/actual_extra_licenses || true
  # Select lines unique to expected_licenses, i.e. missing licenses

      ask_for_var=('Please specify an Android build tools version to use. '
                   '[Available versions: %s]') % versions,
      check_success=valid_build_tools,
      error_msg=('The selected SDK does not have build-tools version %s '
                 'available.'))

  write_action_env_to_bazelrc('ANDROID_BUILD_TOOLS_VERSION',
                              android_build_tools_version)