else
    TF_SetStatus(status, TF_OK, "");
}

static void DeleteFile(const TF_Filesystem* filesystem, const char* path,
                       TF_Status* status) {
  if (unlink(path) != 0)
    TF_SetStatusFromIOError(status, errno, path);
  else
    TF_SetStatus(status, TF_OK, "");
}

static void DeleteDir(const TF_Filesystem* filesystem, const char* path,

// Set whether to propagate assigned device information when constructing a new
// Graph from a GraphDef. By default assigned device information is not copied
// and is re-computed by the runtime.
inline void TF_ImportGraphDefOptionsSetPropagateDeviceSpec(
    TF_ImportGraphDefOptions* opts, unsigned char propagate_device_spec) {
  opts->opts.propagate_device_spec = propagate_device_spec;
}

The Code of Conduct also applies within project spaces and in public spaces whenever an individual is representing TensorFlow or its community. Examples of representing a project or community include using an official project e-mail address, posting via an official social media account, or acting as an appointed or de facto representative at an online or offline event. 


## Conflict Resolution

};

// TODO(b/193656009): Defining these in a cc file causes linker errors with
// fastbuild.
inline Status AbstractOperation::SetAttrShape(const char* attr_name,
                                              const PartialTensorShape shape) {
  return SetAttrShape(attr_name, shape.dim_sizes().data(), shape.dims());
}

inline Status AbstractOperation::SetAttrStringList(
    const char* attr_name, absl::Span<string const> values) {

            type=registry,ref=tensorflow/build:latest-${{ matrix.python-version }}
            type=registry,ref=gcr.io/tensorflow-sigs/build:${{ github.event.number }}-${{ matrix.python-version }}
          cache-to: type=inline
      -
        name: Add a comment with the pushed containers
        uses: mshick/add-pr-comment@a65df5f64fc741e91c59b8359a4bc56e57aaf5b1 # v2

)

config_setting(
    name = "using_rocm_hipcc",
    define_values = {"using_rocm_hipcc": "true"},
)

config_setting(
    name = "override_eigen_strong_inline",
    define_values = {"override_eigen_strong_inline": "true"},
    visibility = ["//visibility:public"],
)

# This flag specifies whether TensorFlow 2.0 API should be built instead

// same integer values. See
// https://github.com/googleapis/google-cloud-cpp/blob/6c09cbfa0160bc046e5509b4dd2ab4b872648b4a/google/cloud/status.h#L32-L52
static inline void TF_SetStatusFromGCSStatus(
    const google::cloud::Status& gcs_status, TF_Status* status) {
  TF_SetStatus(status, static_cast<TF_Code>(gcs_status.code()),
               gcs_status.message().c_str());
}

///
/// The argument is guaranteed to not be `nullptr`.
///
/// We want this to be defined in the plugin's memory space and we guarantee
/// that core TensorFlow will never call this.
static inline void TF_SetFilesystemVersionMetadata(
    TF_FilesystemPluginOps* ops) {
  ops->filesystem_ops_abi = TF_FILESYSTEM_OPS_ABI;
  ops->filesystem_ops_api = TF_FILESYSTEM_OPS_API;

    *   This does not change the minimum required version for building
        TensorFlow from source on Windows, but builds enabling
        `EIGEN_STRONG_INLINE` can take over 48 hours to compile without this
        flag. Refer to `configure.py` for more information about
        `EIGEN_STRONG_INLINE` and `/d2ReducedOptimizeHugeFunctions`.
    *   If either of the required DLLs, `msvcp140.dll` (old) or `msvcp140_1.dll`

  inline cpp_impl *unwrap(wrapper *w) {                                        \
    return reinterpret_cast<cpp_impl *>(w);                                    \
  }                                                                            \
                                                                               \
  inline const cpp_impl *unwrap(const wrapper *w) {                            \