licenses = ["notice"],
)

# Filesystem implementation for POSIX environments: Linux, MacOS, Android, etc.
tf_cc_shared_object(
    name = "libposix_filesystem.so",
    framework_so = [],
    linkstatic = False,
    visibility = ["//visibility:public"],
    deps = [":posix_filesystem_impl"],
)

# The real implementation of the filesystem.
cc_library(
    name = "posix_filesystem_impl",

# libtf implementation details.

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

package(
    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
    default_visibility = [
        "//tensorflow/cc/experimental/libtf:__subpackages__",
    ],
    licenses = ["notice"],
)

cc_library(
    name = "iostream",

# libtensorflow (https://www.tensorflow.org/install/lang_c).
# We aim to achieve ABI stability in new C++ APIs by only using types
# on the API surface that:
# 1. Have a header-only implementation
# 2. Are std:: types
# 3. Wrap an opaque C type

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

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

        "@local_xla//xla/pjrt/c:pjrt_c_api_helpers",
        "@local_xla//xla/tsl/distributed_runtime/coordination:coordination_service_agent",
    ],
)

# Plugin should include this target to avoid linking the C API implementation.
cc_library(
    name = "c_api_hdrs",
    hdrs = ["c_api.h"],
    visibility = ["//visibility:public"],
    deps = [
        "//tensorflow/c:c_api_macros_hdrs",
        "//tensorflow/c:kernels_hdrs",

# Once moved out of experimental, these will be stable.
# The idea behind a separate public/ directory is to make apparent
# which headers are part of TF's public interface (and which headers)
# are implementation details. This structure allows us to also perform future
# programmatic checks that all "public" headers only include other "public"
# headers.

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

package(

    licenses = ["notice"],
)

# Filesystem implementation for Windows environment
tf_cc_shared_object(
    name = "windows_filesystem.dll",
    framework_so = [],
    linkstatic = False,
    tags = [
        "manual",
        "nobuilder",
        "notap",
    ],
    visibility = ["//visibility:public"],
    deps = [":windows_filesystem_impl"],
)

# The real implementation of the filesystem.
cc_library(

    licenses = ["notice"],
)

# Filesystem implementation for GCS environments
tf_cc_shared_object(
    name = "gcs_filesystem",
    framework_so = [],
    linkstatic = False,
    per_os_targets = 1,
    visibility = ["//visibility:public"],
    deps = [":gcs_filesystem_impl"],
)

# The real implementation of the filesystem.
cc_library(
    name = "gcs_filesystem_impl",

        ":tf_attrtype",
        ":tf_buffer_hdrs",
        ":tf_datatype_hdrs",
        ":tf_status_headers",
        ":tf_tensor_hdrs",
        # TODO: Only include tf_tstring_hdrs. Don't expose the implementation of TF_TString to API
        # users.
        ":tf_tstring",
        "//tensorflow/core:protos_all_cc",
    ],
)

tf_cuda_library(
    name = "c_api_internal",
    hdrs = [
        "c_api.h",

cc_library(
    name = "variable_info",
    srcs = ["variable_info.cc"],
    hdrs = ["variable_info.h"],
    visibility = [
        ":internal",
        # We reuse VariableInfo in TFRT's implementation of TpuExecuteOp.
        "//learning/brain/tfrt/tf_tpu:__pkg__",
        "//learning/brain/tfrt/tpu_plugin:__pkg__",
        "//learning/brain/tfrt/tpu_common:__pkg__",

        "@local_tsl//tsl/platform:errors",
        "@local_tsl//tsl/platform:path",
        "@local_tsl//tsl/platform:statusor",
    ],
)

# OSS: This is a header-only target. The implementation target `quantize_model_cc_impl` is
# directly linked to `lib_pywrap_tensorflow_internal.so`, so in most use cases of python-
# exported symbols depending directly on `quantize_model_cc_impl` should be unnecessary.