":tf_tstring",
        "//tensorflow/core:protos_all_cc",
        "//tensorflow/core/platform:tstring",
        "@com_google_absl//absl/status",
        "@local_xla//xla/tsl/c:tsl_status",
    ] + select({
        "//tensorflow:with_xla_support": [
            "//tensorflow/compiler/jit",
            "//tensorflow/compiler/tf2xla:xla_compiler",
        ],
        "//conditions:default": [],
    }) + if_tensorrt([

  # 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

#   click to "Invocation Details" and find BUILD_CONFIG, which will contain a
#   "build_file" item that indicates the script used.
ci/official/wheel.sh

# Advanced: Select specific build/test targets with "any.sh".
# TF_ANY_TARGETS=":your/target" TF_ANY_MODE="test" ci/official/any.sh

# Afterwards: Examine the results, which will include: The bazel cache,

    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",

    $gateway = (Get-NetRoute | Where { $_.DestinationPrefix -eq \"0.0.0.0/0\" } | Sort-Object RouteMetric \
        | Select NextHop).NextHop; \
    $ifIndex = (Get-NetAdapter -InterfaceDescription \"Hyper-V Virtual Ethernet*\" | Sort-Object \
        | Select ifIndex).ifIndex; \
    New-NetRoute -DestinationPrefix 169.254.169.254/32 -InterfaceIndex $ifIndex -NextHop $gateway

  # 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

cc_library(
    name = "grpc",
    visibility = ["//visibility:public"],
    deps = select({
        "//conditions:default": ["@com_github_grpc_grpc//:grpc"],
    }),
)

cc_library(
    name = "grpc++",
    visibility = ["//visibility:public"],
    deps = select({
        "//conditions:default": ["@com_github_grpc_grpc//:grpc++"],
    }),
)
# copybara:comment_end

# Enable TensorRT optimizations https://developer.nvidia.com/tensorrt
build:cuda_clang --config=tensorrt
build:cuda_clang --action_env=TF_CUDA_CLANG="1"
build:cuda_clang --@local_config_cuda//:cuda_compiler=clang
# Select supported compute capabilities (supported graphics cards).
# This is the same as the official TensorFlow builds.
# See https://developer.nvidia.com/cuda-gpus#compute
# `compute_XY` enables PTX embedding in addition to SASS. PTX

        "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",