};
  StreamExecutor* executor = GetExecutor(0);
  TF_ASSERT_OK_AND_ASSIGN(auto stream, executor->CreateStream());
  std::function<absl::Status()> callback = []() -> absl::Status {
    return tsl::errors::Unimplemented("Unimplemented");
  };
  ASSERT_FALSE(stream->DoHostCallbackWithStatus(callback).ok());
}

TEST_F(StreamExecutorTest, DeviceDescription) {
  static const char* hardware_name = "TestName";

    // Skip if it has default value (TODO(unda, b/249345399): add our custom
    // values)
    if (api_def_attr.has_default_value()) continue;
    // TODO(unda, b/253432797): handle unimplemented input attribute types
    if (unhandled_attr_types.find(attr.type()) != unhandled_attr_types.end()) {
      std::cout << "NOT fuzzing: " << op_info.graph_op_def.name()

      saved_model_exported_names.begin(), saved_model_exported_names.end());
  absl::Span<std::string> exported_names(exported_names_in_vector);

  if (exported_names.empty()) {
    return errors::Unimplemented("Need at least one exported name.");
  }

  tensorflow::GraphImportConfig specs;
  specs.upgrade_legacy = true;

  std::vector<std::string> custom_opdefs(toco_flags.custom_opdefs().begin(),

        *fbody = new_fbody.get();
        fbodies.push_back(std::move(new_fbody));
        return absl::OkStatus();
      },
      g.get(), &fld);
  EXPECT_EQ(status.code(), error::UNIMPLEMENTED);
}

            assertThat(
                it.value,
                equalTo<Any>("42")
            )
        }
    }

    @Test
    fun `unimplemented serialization feature problems link to the Java serialization section`() {
        val exception = assertThrows(UnsupportedOperationException::class.java) {
            try {

                                              Device* device,
                                              Tensor* output_tensor,
                                              StatusCallback done) const {
  done(errors::Unimplemented("XLA->XLA same-device copies not implemented."));
}

void XlaDeviceContext::CopyCPUTensorToDevice(const Tensor* cpu_tensor,
                                             Device* device,

	return true
}

func (w *fakeDefaultWatcher) GetDefault() string {
	return w.defaultRevision
}

func (w *fakeDefaultWatcher) AddHandler(handler revisions.DefaultHandler) {
	panic("unimplemented")
}

func TestLeaderElection(t *testing.T) {
	client := fake.NewSimpleClientset()
	watcher := &fakeDefaultWatcher{}
	// First pod becomes the leader

	case AddrPostIndex:
		return fmt.Sprintf("[%s],%s", R, X)
	case AddrPostReg:
		post := Reg(X0) + Reg(m.imm)
		postR := post.String()
		return fmt.Sprintf("[%s], %s", R, postR)
	}
	return fmt.Sprintf("unimplemented!")
}

// A MemExtend is a memory reference made up of a base R and index expression X.
// The effective memory address is R or R+X depending on Index, Extend and Amount.
type MemExtend struct {
	Base   RegSP

    ImmediateExecutionContext* context, std::unique_ptr<TFSavedModelAPI>* out) {
  // TODO(bmzhao): Add support for loading a TF1 SavedModel.
  if (tags) {
    return errors::Unimplemented(
        "Loading saved models with explicit tags will be supported in the "
        "future");
  }

  SavedModelV2Bundle bundle;
  TF_RETURN_IF_ERROR(SavedModelV2Bundle::Load(directory, &bundle));

    // the situation for us.
    const Status& status = compiler_for_platform.status();
    if (status.code() == error::NOT_FOUND) {
      return errors::Unimplemented("Could not find compiler for platform ",
                                   platform.value()->Name(), ": ",
                                   status.ToString());
    }
  }