srcs = [":device_sources"],
    hdrs = [":device_headers"],
    visibility = ["//visibility:private"],
    deps = [
        ":parallel_device_lib",
        "//tensorflow/c:c_api",
        "//tensorflow/c:tf_status_helper",
        "//tensorflow/c/eager:c_api",
        "//tensorflow/c/eager:c_api_experimental",
        "//tensorflow/c/eager:tfe_tensorhandle_internal",
        "@com_google_absl//absl/strings",

        `dtensor.shutdown_tpu_system`.

## Deprecations

*   The C++ `tensorflow::Code` and `tensorflow::Status` will become aliases of
    respectively `absl::StatusCode` and `absl::Status` in some future release.
    *   Use `tensorflow::OkStatus()` instead of `tensorflow::Status::OK()`.
    *   Stop constructing `Status` objects from `tensorflow::error::Code`.
    *   One MUST NOT access `tensorflow::errors::Code` fields. Accessing

- Provide links to your TensorFlow model and (optionally) TensorFlow Lite Model.
```

### 3. Failure after conversion
If the conversion is successful, but the generated model is wrong, then state what is wrong:

- Model produces wrong results and/or has lesser accuracy.
- Model produces correct results, but it is slower than expected.

### 4. (optional) RNN conversion support

tf_cuda_library(
    name = "tf_status_helper",
    srcs = ["tf_status_helper.cc"],
    hdrs = ["tf_status_helper.h"],
    visibility = ["//visibility:public"],
    deps = [
        ":tf_status_headers",
        "@local_tsl//tsl/platform:status",
        "@local_xla//xla/tsl/c:tsl_status_helper",
    ],
)

tf_cc_test(
    name = "tf_status_helper_test",
    srcs = ["tf_status_helper_test.cc"],
    deps = [

        ":c_api_test_util",
        ":c_api_unified_internal",
        "//tensorflow/c:tf_status",
        "//tensorflow/c:tf_status_helper",
        "//tensorflow/c:tf_tensor",
        "//tensorflow/core:framework",
        "//tensorflow/core/lib/llvm_rtti",
        "//tensorflow/core/platform:errors",
        "//tensorflow/core/platform:status",
        "@com_google_absl//absl/container:flat_hash_set",
    ],
)

      reproduction, and distribution of the Work otherwise complies with
      the conditions stated in this License.

   5. Submission of Contributions. Unless You explicitly state otherwise,
      any Contribution intentionally submitted for inclusion in the Work
      by You to the Licensor shall be under the terms and conditions of
      this License, without any additional terms or conditions.

        "//tensorflow/c:c_api_internal",
        "//tensorflow/c:c_api_no_xla",
        "//tensorflow/c:checkpoint_reader",
        "//tensorflow/c:tensor_interface",
        "//tensorflow/c:tf_status_helper",
        "//tensorflow/c:tf_tensor_internal",
        "//tensorflow/cc/saved_model:loader",
        "//tensorflow/compiler/mlir/lite/metrics:error_collector",

        "//tensorflow/c:logging",
        "//tensorflow/c:tf_status",
        "@com_google_absl//absl/base:core_headers",
        "@com_google_absl//absl/synchronization",
    ],
)

tf_cc_test(
    name = "ram_file_block_cache_test",
    size = "small",
    srcs = ["ram_file_block_cache_test.cc"],
    deps = [
        ":ram_file_block_cache",
        "//tensorflow/c:tf_status_internal",
        "//tensorflow/core:lib",

abstract: TensorFlow is a machine learning system that operates at large scale and in heterogeneous environments. TensorFlow uses dataflow graphs to represent computation, shared state, and the operations that mutate that state. It maps the nodes of a dataflow graph across many machines in a cluster, and within a machine across multiple computational devices, including multicore CPUs, general purpose GPUs, and custom-designed ASICs known as Tensor Processing...

    size = "small",
    srcs = [
        "custom_gradient_test.cc",
    ],
    args = ["--heap_check="],  # TODO(b/174752220): Remove
    tags = tf_cuda_tests_tags(),
    deps = [
        "//tensorflow/c:tf_status_helper",
        "//tensorflow/c/eager:abstract_context",
        "//tensorflow/c/eager:c_api",
        "//tensorflow/c/eager:c_api_experimental",
        "//tensorflow/c/eager:c_api_unified_internal",