#include "tensorflow/c/eager/tfe_tensorhandle_internal.h"
#include "tensorflow/c/tf_status.h"
#include "tensorflow/c/tf_status_helper.h"
#include "xla/tsl/c/tsl_status_internal.h"
#include "xla/tsl/distributed_runtime/coordination/coordination_service_agent.h"
#include "xla/tsl/framework/cancellation.h"
#include "tensorflow/core/common_runtime/composite_device.h"
#include "tensorflow/core/common_runtime/device.h"

            "python_api.h",
            "*test*",
        ],
    ) + [
        "//tensorflow/cc:srcs_no_runtime",
        "//tensorflow/core/distributed_runtime:server_lib.h",
        "@tsl//tsl/platform:ctstring",
        "@xla//xla/tsl/c:srcs",
    ],
    visibility = ["//visibility:public"],
)

cc_library(
    name = "pywrap_required_hdrs",
    textual_hdrs = [
        "c_api_internal.h",

  cat > $BATS_TEST_TMPDIR/allowed_to_be_missing <<EOF
@absl_py//absl
@bazel_tools//platforms
@bazel_tools//third_party/
@bazel_tools//tools
@jpegxl//lib
@local
@xla//xla
@tsl//tsl
@com_google_absl//absl
@pybind11_abseil//pybind11_abseil
@org_tensorflow//
@com_github_googlecloudplatform_google_cloud_cpp//google
@com_github_grpc_grpc//src/compiler
@com_google_protobuf//upb_generator

local_path_override(
    module_name = "xla",
    path = "third_party/xla",
)

tsl_extension = use_extension("@xla//third_party/extensions:tsl.bzl", "tsl_extension")
use_repo(tsl_extension, tsl = "tsl")

llvm = use_extension("@xla//third_party/extensions:llvm.bzl", "llvm_extension")
use_repo(llvm, "llvm-project")

xla_third_party = use_extension("@xla//third_party/extensions:third_party.bzl", "third_party_ext")

        "@com_google_absl//absl/container:flat_hash_map",
        "@com_google_absl//absl/memory",
        "@com_google_absl//absl/strings",
        "@com_google_absl//absl/time",
        "@xla//xla/tsl/c:tsl_status_internal",
        "@xla//xla/tsl/distributed_runtime/coordination:coordination_service_agent",
    ],
    alwayslink = 1,
)

cc_library(
    name = "c_api_experimental_reader",
    testonly = True,
    srcs = [

  return tensorflow::wrap(tensorflow::TensorHandle::CreateLocalHandle(tensor));
}

void TFE_DeleteTensorHandle(TFE_TensorHandle* h) {
  if (h == nullptr) return;

  tsl::profiler::TraceMe activity("TFE_DeleteTensorHandle",
                                  tsl::profiler::TraceMeLevel::kInfo);
  if (h) {
    tensorflow::unwrap(h)->Unref();
  }
}

TF_DataType TFE_TensorHandleDataType(TFE_TensorHandle* h) {

#include "tensorflow/c/eager/graph_function.h"
#include "tensorflow/c/tf_datatype.h"
#include "tensorflow/c/tf_status.h"
#include "tensorflow/c/tf_status_helper.h"
#include "xla/tsl/c/tsl_status_internal.h"
#include "tensorflow/core/framework/full_type.pb.h"
#include "tensorflow/core/framework/shape_inference.h"
#include "tensorflow/core/framework/tensor_shape.h"
#include "tensorflow/core/framework/types.pb.h"

```
.
├── app
│   ├── __init__.py
│   └── main.py
├── Dockerfile
└── requirements.txt
```

#### За прокси-сервером TSL-терминации { #behind-a-tls-termination-proxy }

И должен быть компонент, отвечающий за **обновление HTTPS‑сертификатов** — это может быть тот же самый компонент или отдельный.

### Примеры инструментов для HTTPS { #example-tools-for-https }

Некоторые инструменты, которые можно использовать как прокси-сервер TSL-терминации:

* Traefik
    * Автоматически обновляет сертификаты ✨
* Caddy