const string gpu_device_name = GPUDeviceName(sess);
  TF_DeleteSession(sess, s);
  CHECK_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
  return gpu_device_name;
}

TEST(CAPI, Version) { EXPECT_STRNE("", TF_Version()); }

TEST(CAPI, Status) {
  TF_Status* s = TF_NewStatus();
  EXPECT_EQ(TF_OK, TF_GetCode(s));
  EXPECT_EQ(string(), TF_Message(s));
  TF_SetStatus(s, TF_CANCELLED, "cancel");

/* Copyright 2019 The TensorFlow Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,

/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,

        # "//tools/cpp:asan_build": [
        # "-Wl,--version-script,$(location //tensorflow/c:version_script.lds)",
        # ],
        # "//tools/cpp:hwasan_build": [
        # "-Wl,--version-script,$(location //tensorflow/c:version_script.lds)",
        # ],
        # "//tools/cpp:msan_build": [
        # "-Wl,--version-script,$(location //tensorflow/c:version_script.lds)",
        # ],

// LINT.IfChange(random_access_file_ops_version)
constexpr int TF_RANDOM_ACCESS_FILE_OPS_API = 0;
constexpr int TF_RANDOM_ACCESS_FILE_OPS_ABI = 0;
constexpr size_t TF_RANDOM_ACCESS_FILE_OPS_SIZE =
    sizeof(TF_RandomAccessFileOps);
// LINT.ThenChange()

// LINT.IfChange(writable_file_ops_version)
constexpr int TF_WRITABLE_FILE_OPS_API = 0;
constexpr int TF_WRITABLE_FILE_OPS_ABI = 0;

/* Copyright 2015 The TensorFlow Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,

  curr_version_split = curr_version.lower().split('clang version ')
  if len(curr_version_split) > 1:
    curr_version = curr_version_split[1].split()[0]

  curr_version_int = convert_version_to_int(curr_version)
  # Check if current clang version can be detected properly.
  if not curr_version_int:
    print('WARNING: current clang installation is not a release version.\n')
    return None

build:cuda_clang --repo_env=TF_CUDA_COMPUTE_CAPABILITIES="sm_60,sm_70,sm_80,sm_89,compute_90"

# Set up compilation CUDA version and paths and use the CUDA Clang toolchain.
build:cuda_clang_official --config=cuda_clang
build:cuda_clang_official --action_env=TF_CUDA_VERSION="12"
build:cuda_clang_official --action_env=TF_CUDNN_VERSION="8"
build:cuda_clang_official --action_env=CUDA_TOOLKIT_PATH="/usr/local/cuda-12.3"

#ifdef __cplusplus
extern "C" {
#endif

// --------------------------------------------------------------------------
// TF_Version returns a string describing version information of the
// TensorFlow library. TensorFlow uses semantic versioning.
TF_CAPI_EXPORT extern const char* TF_Version(void);

// Parsing a serialized TensorProto into a TF_Tensor.
TF_CAPI_EXPORT extern void TF_TensorFromProto(const TF_Buffer* from,