for (int i = 0; i < expected.size(); ++i) {
      ASSERT_EQ(expected[i], data[i]) << "Different data at index " << i;
    }
  }

  std::vector<TF_Output> ToOutput(const std::vector<TF_Operation*> ops) {
    std::vector<TF_Output> out;
    for (auto op : ops) {
      out.push_back({op, 0});
    }
    return out;
  }

  void Define(int num_opers, const std::vector<TF_Operation*>& opers,

  TF_RETURN_IF_ERROR(inputs[0]->Shape(&shape));
  if (shape.dims() != 2) {
    return errors::InvalidArgument(
        "Tensor expected to have rank 2 found rank: ", shape.dims());
  }
  int64_t dim_sizes[] = {2, 4};
  for (int i = 0; i < shape.dims(); i++) {
    if (shape.dim_size(i) != dim_sizes[i]) {
      return errors::InvalidArgument("Dim ", i, " expected to be of size ",
                                     dim_sizes[i],

      GetChildrenBounded(gcs_file, path, UINT64_MAX, false, false, status);
  if (TF_GetCode(status) != TF_OK) return -1;

  int num_entries = childrens.size();
  *entries = static_cast<char**>(
      plugin_memory_allocate(num_entries * sizeof((*entries)[0])));
  for (int i = 0; i < num_entries; i++)
    (*entries)[i] = strdup(childrens[i].c_str());
  TF_SetStatus(status, TF_OK, "");
  return num_entries;
}

package_group(name = "types_allowlist")

# Packages that use StructuredTensors.
# TODO(b/159007891) Remove this package once StructuredTensor is exported.
# LINT.IfChange
package_group(name = "structured_tensor_allowlist")
# LINT.ThenChange(copy.bara.sky)

filegroup(
    name = "intel_binary_blob",
    data = if_mkl_ml(
        [
            "@local_xla//xla/tsl/mkl:intel_binary_blob",

    *   Added 8-bit/16-bit/32-bit int/uint support for the built-in op `right_shift`
    *   Added reference implementation for 16-bit int unquantized `add`.
    *   Added reference implementation for 16-bit int and 32-bit unsigned int unquantized `mul`.
    *   `add_op` supports broadcasting up to 6 dimensions.
    *   Added 16-bit support for `top_k`.

*   `tf.function`

//
TF_CAPI_EXPORT extern TF_ShapeAndTypeList* TF_NewShapeAndTypeList(
    int num_shapes);
TF_CAPI_EXPORT extern void TF_ShapeAndTypeListSetShape(
    TF_ShapeAndTypeList* shape_list, int index, const int64_t* dims,
    int num_dims);
TF_CAPI_EXPORT extern void TF_ShapeAndTypeListSetUnknownShape(
    TF_ShapeAndTypeList* shape_list, int index);
TF_CAPI_EXPORT extern void TF_ShapeAndTypeListSetDtype(

int TF_CheckpointReaderHasTensor(TF_CheckpointReader* reader,
                                 const char* name) {
  return reader->HasTensor(name);
}

const char* TF_CheckpointReaderGetVariable(TF_CheckpointReader* reader,
                                           int index) {
  return reader->variable_list[index].c_str();
}

int TF_CheckpointReaderSize(TF_CheckpointReader* reader) {

-{
-  size_t __result = 0;
-  while (__s[__result] != '\0' && __s[__result] != __reject1
-	 && __s[__result] != __reject2)
-    ++__result;
-  return __result;
-}
-
-__STRING_INLINE size_t __strcspn_c3 (const char *__s, int __reject1,
-				     int __reject2, int __reject3);
-__STRING_INLINE size_t
-__strcspn_c3 (const char *__s, int __reject1, int __reject2,
-	      int __reject3)
-{

      # Get the linker version
      ld_version = run_shell([gcc_env, '-Wl,-version']).split()

      ld_version_int = convert_version_to_int(ld_version[3])
      if ld_version_int is None:
        ld_version_int = convert_version_to_int(ld_version[4])

      # Enable if 'ld' version >= 2.35
      if ld_version_int >= 2035000:
        write_to_bazelrc(
            'build --copt="-DEIGEN_ALTIVEC_ENABLE_MMA_DYNAMIC_DISPATCH=1"')

  }

  {
    std::unique_ptr<ParallelTensor> int_tensors =
        parallel_device.ScalarsFromSequence<int>({5, 6}, context.get(),
                                                 status.get());
    ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get());
    ExpectScalarEq<int>(int_tensors->tensor(0), 5);
    ExpectScalarEq<int>(int_tensors->tensor(1), 6);
  }
}

}  // namespace parallel_device